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March 27, 2016 13:27
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| I0321 19:35:15.407027 2639 solver.cpp:280] Solving mixed_lstm | |
| I0321 19:35:15.407040 2639 solver.cpp:281] Learning Rate Policy: fixed | |
| I0321 19:35:15.425205 2639 solver.cpp:338] Iteration 0, Testing net (#0) | |
| I0321 19:35:46.798645 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.011 | |
| I0321 19:35:46.798874 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.014 | |
| I0321 19:35:46.798893 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.013 | |
| I0321 19:35:46.798907 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.02 | |
| I0321 19:35:46.798918 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.085 | |
| I0321 19:35:46.798930 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.253 | |
| I0321 19:35:46.798943 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.434 | |
| I0321 19:35:46.798954 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.502 | |
| I0321 19:35:46.798966 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.526 | |
| I0321 19:35:46.798979 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.534 | |
| I0321 19:35:46.798990 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 0.544 | |
| I0321 19:35:46.799002 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 0.539 | |
| I0321 19:35:46.799015 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 0.537 | |
| I0321 19:35:46.799026 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 0.537 | |
| I0321 19:35:46.799037 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 0.537 | |
| I0321 19:35:46.799049 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 0.537 | |
| I0321 19:35:46.799062 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 0.537 | |
| I0321 19:35:46.799073 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 0.544 | |
| I0321 19:35:46.799084 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 0.546 | |
| I0321 19:35:46.799096 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 0.537 | |
| I0321 19:35:46.799108 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 0.537 | |
| I0321 19:35:46.799119 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 0.537 | |
| I0321 19:35:46.799135 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 41.7874 (* 0.0272727 = 1.13966 loss) | |
| I0321 19:35:46.799151 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 41.7001 (* 0.0272727 = 1.13727 loss) | |
| I0321 19:35:46.799166 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 42.1368 (* 0.0272727 = 1.14918 loss) | |
| I0321 19:35:46.799181 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 42.4861 (* 0.0272727 = 1.15871 loss) | |
| I0321 19:35:46.799196 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 42.5734 (* 0.0272727 = 1.16109 loss) | |
| I0321 19:35:46.799211 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 42.3988 (* 0.0272727 = 1.15633 loss) | |
| I0321 19:35:46.799224 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 42.5734 (* 0.0272727 = 1.16109 loss) | |
| I0321 19:35:46.799239 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 42.6608 (* 0.0272727 = 1.16348 loss) | |
| I0321 19:35:46.799254 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 42.4861 (* 0.0272727 = 1.15871 loss) | |
| I0321 19:35:46.799268 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 42.6608 (* 0.0272727 = 1.16348 loss) | |
| I0321 19:35:46.799283 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 42.1368 (* 0.0272727 = 1.14918 loss) | |
| I0321 19:35:46.799298 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 42.5734 (* 0.0272727 = 1.16109 loss) | |
| I0321 19:35:46.799311 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799326 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799340 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799355 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799368 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799383 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 42.1368 (* 0.0272727 = 1.14918 loss) | |
| I0321 19:35:46.799413 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 41.9621 (* 0.0272727 = 1.14442 loss) | |
| I0321 19:35:46.799429 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799451 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799468 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 42.7481 (* 0.0272727 = 1.16586 loss) | |
| I0321 19:35:46.799479 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.025 | |
| I0321 19:35:46.799492 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.013 | |
| I0321 19:35:46.799504 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.022 | |
| I0321 19:35:46.799515 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.014 | |
| I0321 19:35:46.799526 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.009 | |
| I0321 19:35:46.799538 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.002 | |
| I0321 19:35:46.799549 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.002 | |
| I0321 19:35:46.799561 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.003 | |
| I0321 19:35:46.799572 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.001 | |
| I0321 19:35:46.799587 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.002 | |
| I0321 19:35:46.799599 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 0.043 | |
| I0321 19:35:46.799612 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 0.001 | |
| I0321 19:35:46.799623 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 0.001 | |
| I0321 19:35:46.799634 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 0.056 | |
| I0321 19:35:46.799646 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 0.001 | |
| I0321 19:35:46.799657 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 0.001 | |
| I0321 19:35:46.799669 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 0.001 | |
| I0321 19:35:46.799680 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 0.659 | |
| I0321 19:35:46.799692 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 0.001 | |
| I0321 19:35:46.799705 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 0.146 | |
| I0321 19:35:46.799718 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 0.001 | |
| I0321 19:35:46.799731 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 0.001 | |
| I0321 19:35:46.799744 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 85.0696 (* 0.0272727 = 2.32008 loss) | |
| I0321 19:35:46.799758 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 86.1177 (* 0.0272727 = 2.34866 loss) | |
| I0321 19:35:46.799772 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 85.3317 (* 0.0272727 = 2.32723 loss) | |
| I0321 19:35:46.799787 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 86.0303 (* 0.0272727 = 2.34628 loss) | |
| I0321 19:35:46.799801 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 86.467 (* 0.0272727 = 2.35819 loss) | |
| I0321 19:35:46.799815 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 87.1657 (* 0.0272727 = 2.37725 loss) | |
| I0321 19:35:46.799830 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 87.1657 (* 0.0272727 = 2.37725 loss) | |
| I0321 19:35:46.799844 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 87.0784 (* 0.0272727 = 2.37486 loss) | |
| I0321 19:35:46.799860 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799873 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 87.1657 (* 0.0272727 = 2.37725 loss) | |
| I0321 19:35:46.799887 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 83.5849 (* 0.0272727 = 2.27959 loss) | |
| I0321 19:35:46.799901 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799916 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799939 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 82.4496 (* 0.0272727 = 2.24862 loss) | |
| I0321 19:35:46.799954 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799969 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799983 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.799998 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 29.786 (* 0.0272727 = 0.812345 loss) | |
| I0321 19:35:46.800012 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.800027 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 74.5893 (* 0.0272727 = 2.03425 loss) | |
| I0321 19:35:46.800041 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.800074 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 87.253 (* 0.0272727 = 2.37963 loss) | |
| I0321 19:35:46.800088 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0 | |
| I0321 19:35:46.800101 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.005 | |
| I0321 19:35:46.800112 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.01 | |
| I0321 19:35:46.800123 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.046 | |
| I0321 19:35:46.800135 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.182 | |
| I0321 19:35:46.800148 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.51 | |
| I0321 19:35:46.800158 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.824 | |
| I0321 19:35:46.800169 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.933 | |
| I0321 19:35:46.800181 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.975 | |
| I0321 19:35:46.800192 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.991 | |
| I0321 19:35:46.800204 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:35:46.800215 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:35:46.800226 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:35:46.800237 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:35:46.800248 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:35:46.800261 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:35:46.800271 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:35:46.800282 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:35:46.800293 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:35:46.800304 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:35:46.800315 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:35:46.800326 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:35:46.800339 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800354 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800369 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800384 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800397 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800412 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800426 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800441 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800465 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800482 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800495 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800510 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800524 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800539 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800552 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800567 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800577 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800587 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800602 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800616 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800638 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800654 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 87.253 (* 0.0909091 = 7.9321 loss) | |
| I0321 19:35:46.800671 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:35:46.800683 2639 solver.cpp:406] Test net output #133: total_confidence = nan | |
| I0321 19:35:47.058663 2639 solver.cpp:229] Iteration 0, loss = 14.3147 | |
| I0321 19:35:47.058717 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:35:47.058733 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:35:47.058745 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:35:47.058758 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:35:47.058769 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:35:47.058782 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0 | |
| I0321 19:35:47.058794 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0 | |
| I0321 19:35:47.058806 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0 | |
| I0321 19:35:47.058818 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0 | |
| I0321 19:35:47.058830 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0 | |
| I0321 19:35:47.058841 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 0 | |
| I0321 19:35:47.058854 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 0 | |
| I0321 19:35:47.058866 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 0 | |
| I0321 19:35:47.058884 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 0 | |
| I0321 19:35:47.058897 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 0 | |
| I0321 19:35:47.058908 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 0 | |
| I0321 19:35:47.058919 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 0 | |
| I0321 19:35:47.058931 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 0 | |
| I0321 19:35:47.058943 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 0 | |
| I0321 19:35:47.058954 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 0 | |
| I0321 19:35:47.058965 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 0 | |
| I0321 19:35:47.058976 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 0 | |
| I0321 19:35:47.058995 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 4.43165 (* 0.0272727 = 0.120863 loss) | |
| I0321 19:35:47.059012 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.6495 (* 0.0272727 = 0.126804 loss) | |
| I0321 19:35:47.059051 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 4.68429 (* 0.0272727 = 0.127753 loss) | |
| I0321 19:35:47.059067 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.42991 (* 0.0272727 = 0.120816 loss) | |
| I0321 19:35:47.059082 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 4.49548 (* 0.0272727 = 0.122604 loss) | |
| I0321 19:35:47.059097 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 4.64002 (* 0.0272727 = 0.126546 loss) | |
| I0321 19:35:47.059110 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 4.2549 (* 0.0272727 = 0.116043 loss) | |
| I0321 19:35:47.059130 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 4.65464 (* 0.0272727 = 0.126945 loss) | |
| I0321 19:35:47.059146 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 4.15849 (* 0.0272727 = 0.113413 loss) | |
| I0321 19:35:47.059160 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 4.57176 (* 0.0272727 = 0.124684 loss) | |
| I0321 19:35:47.059175 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 4.34687 (* 0.0272727 = 0.118551 loss) | |
| I0321 19:35:47.059190 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 4.45623 (* 0.0272727 = 0.121533 loss) | |
| I0321 19:35:47.059203 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 4.45174 (* 0.0272727 = 0.121411 loss) | |
| I0321 19:35:47.059217 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 4.7395 (* 0.0272727 = 0.129259 loss) | |
| I0321 19:35:47.059232 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 4.64232 (* 0.0272727 = 0.126609 loss) | |
| I0321 19:35:47.059247 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 4.61949 (* 0.0272727 = 0.125986 loss) | |
| I0321 19:35:47.059264 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 5.0306 (* 0.0272727 = 0.137198 loss) | |
| I0321 19:35:47.059279 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 5.07324 (* 0.0272727 = 0.138361 loss) | |
| I0321 19:35:47.059293 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 4.32134 (* 0.0272727 = 0.117855 loss) | |
| I0321 19:35:47.059308 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 4.6036 (* 0.0272727 = 0.125553 loss) | |
| I0321 19:35:47.059322 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 4.05575 (* 0.0272727 = 0.110611 loss) | |
| I0321 19:35:47.059336 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 5.12214 (* 0.0272727 = 0.139695 loss) | |
| I0321 19:35:47.059348 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:35:47.059361 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:35:47.059372 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:35:47.059384 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:35:47.059396 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0 | |
| I0321 19:35:47.059407 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0 | |
| I0321 19:35:47.059418 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0 | |
| I0321 19:35:47.059430 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0 | |
| I0321 19:35:47.059442 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0 | |
| I0321 19:35:47.059453 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0 | |
| I0321 19:35:47.059464 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 0 | |
| I0321 19:35:47.059476 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 0.125 | |
| I0321 19:35:47.059489 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 0 | |
| I0321 19:35:47.059499 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 0 | |
| I0321 19:35:47.059510 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 0 | |
| I0321 19:35:47.059522 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 0 | |
| I0321 19:35:47.059533 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 0 | |
| I0321 19:35:47.059554 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 0.125 | |
| I0321 19:35:47.059567 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 0 | |
| I0321 19:35:47.059579 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 0 | |
| I0321 19:35:47.059592 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 0.125 | |
| I0321 19:35:47.059602 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 0 | |
| I0321 19:35:47.059615 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 4.6247 (* 0.0272727 = 0.126128 loss) | |
| I0321 19:35:47.059630 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.67913 (* 0.0272727 = 0.127613 loss) | |
| I0321 19:35:47.059645 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 4.25404 (* 0.0272727 = 0.116019 loss) | |
| I0321 19:35:47.059659 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 4.8932 (* 0.0272727 = 0.133451 loss) | |
| I0321 19:35:47.059674 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 4.81776 (* 0.0272727 = 0.131393 loss) | |
| I0321 19:35:47.059689 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 4.73308 (* 0.0272727 = 0.129084 loss) | |
| I0321 19:35:47.059701 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 4.4537 (* 0.0272727 = 0.121464 loss) | |
| I0321 19:35:47.059715 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 4.63308 (* 0.0272727 = 0.126357 loss) | |
| I0321 19:35:47.059730 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 5.03094 (* 0.0272727 = 0.137207 loss) | |
| I0321 19:35:47.059747 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 5.1388 (* 0.0272727 = 0.140149 loss) | |
| I0321 19:35:47.059762 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 3.85345 (* 0.0272727 = 0.105094 loss) | |
| I0321 19:35:47.059775 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 3.89294 (* 0.0272727 = 0.106171 loss) | |
| I0321 19:35:47.059790 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 5.03994 (* 0.0272727 = 0.137453 loss) | |
| I0321 19:35:47.059804 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 3.94786 (* 0.0272727 = 0.107669 loss) | |
| I0321 19:35:47.059819 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 5.44111 (* 0.0272727 = 0.148394 loss) | |
| I0321 19:35:47.059834 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 4.10745 (* 0.0272727 = 0.112021 loss) | |
| I0321 19:35:47.059847 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 4.51101 (* 0.0272727 = 0.123027 loss) | |
| I0321 19:35:47.059857 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 4.21121 (* 0.0272727 = 0.114851 loss) | |
| I0321 19:35:47.059867 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 4.54047 (* 0.0272727 = 0.123831 loss) | |
| I0321 19:35:47.059876 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 4.02993 (* 0.0272727 = 0.109907 loss) | |
| I0321 19:35:47.059891 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 4.33044 (* 0.0272727 = 0.118103 loss) | |
| I0321 19:35:47.059906 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 4.60814 (* 0.0272727 = 0.125676 loss) | |
| I0321 19:35:47.059918 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:35:47.059929 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:35:47.059948 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:35:47.059959 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:35:47.059972 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0 | |
| I0321 19:35:47.059983 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0 | |
| I0321 19:35:47.059994 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0 | |
| I0321 19:35:47.060005 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0 | |
| I0321 19:35:47.060017 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0 | |
| I0321 19:35:47.060029 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.5 | |
| I0321 19:35:47.060067 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 0 | |
| I0321 19:35:47.060082 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 0 | |
| I0321 19:35:47.060094 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 0 | |
| I0321 19:35:47.060106 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 0 | |
| I0321 19:35:47.060117 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 0 | |
| I0321 19:35:47.060128 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 0 | |
| I0321 19:35:47.060139 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 0 | |
| I0321 19:35:47.060150 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 0 | |
| I0321 19:35:47.060163 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 0 | |
| I0321 19:35:47.060173 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 0 | |
| I0321 19:35:47.060184 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 0 | |
| I0321 19:35:47.060195 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 0 | |
| I0321 19:35:47.060209 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 4.53448 (* 0.0909091 = 0.412226 loss) | |
| I0321 19:35:47.060225 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 4.3933 (* 0.0909091 = 0.39939 loss) | |
| I0321 19:35:47.060238 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 4.27921 (* 0.0909091 = 0.389019 loss) | |
| I0321 19:35:47.060252 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 4.8516 (* 0.0909091 = 0.441054 loss) | |
| I0321 19:35:47.060266 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 4.68339 (* 0.0909091 = 0.425763 loss) | |
| I0321 19:35:47.060281 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 4.86615 (* 0.0909091 = 0.442377 loss) | |
| I0321 19:35:47.060295 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 4.79662 (* 0.0909091 = 0.436056 loss) | |
| I0321 19:35:47.060312 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 4.52681 (* 0.0909091 = 0.411528 loss) | |
| I0321 19:35:47.060328 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 4.21146 (* 0.0909091 = 0.38286 loss) | |
| I0321 19:35:47.060341 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 3.53026 (* 0.0909091 = 0.320933 loss) | |
| I0321 19:35:47.060355 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 4.33431 (* 0.0909091 = 0.394028 loss) | |
| I0321 19:35:47.060369 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 4.77678 (* 0.0909091 = 0.434253 loss) | |
| I0321 19:35:47.060384 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 4.13411 (* 0.0909091 = 0.375828 loss) | |
| I0321 19:35:47.060397 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 4.22275 (* 0.0909091 = 0.383887 loss) | |
| I0321 19:35:47.060411 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 4.94844 (* 0.0909091 = 0.449858 loss) | |
| I0321 19:35:47.060425 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 4.38443 (* 0.0909091 = 0.398584 loss) | |
| I0321 19:35:47.060439 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 4.54919 (* 0.0909091 = 0.413563 loss) | |
| I0321 19:35:47.060453 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 4.5911 (* 0.0909091 = 0.417373 loss) | |
| I0321 19:35:47.060467 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 4.32187 (* 0.0909091 = 0.392897 loss) | |
| I0321 19:35:47.060482 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 4.24919 (* 0.0909091 = 0.38629 loss) | |
| I0321 19:35:47.060495 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 4.1809 (* 0.0909091 = 0.380082 loss) | |
| I0321 19:35:47.060509 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 4.03385 (* 0.0909091 = 0.366713 loss) | |
| I0321 19:35:47.060521 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:35:47.060534 2639 solver.cpp:245] Train net output #133: total_confidence = 8.31031e-30 | |
| I0321 19:35:47.060554 2639 sgd_solver.cpp:106] Iteration 0, lr = 0.01 | |
| I0321 19:36:08.824504 2639 solver.cpp:229] Iteration 100, loss = 4.62042 | |
| I0321 19:36:08.824565 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:36:08.824582 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:36:08.824595 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:36:08.824609 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:36:08.824620 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:36:08.824632 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:36:08.824645 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:36:08.824666 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:36:08.824677 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:36:08.824689 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:36:08.824702 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:36:08.824713 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:36:08.824733 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:36:08.824744 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:36:08.824755 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:36:08.824770 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:36:08.824784 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:36:08.824795 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:36:08.824807 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:36:08.824818 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:36:08.824831 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:36:08.824842 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:36:08.824858 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.86182 (* 0.0272727 = 0.105322 loss) | |
| I0321 19:36:08.824873 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.32605 (* 0.0272727 = 0.117983 loss) | |
| I0321 19:36:08.824888 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.9673 (* 0.0272727 = 0.108199 loss) | |
| I0321 19:36:08.824903 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.17102 (* 0.0272727 = 0.113755 loss) | |
| I0321 19:36:08.824918 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.85447 (* 0.0272727 = 0.105122 loss) | |
| I0321 19:36:08.824933 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.71771 (* 0.0272727 = 0.0741194 loss) | |
| I0321 19:36:08.824947 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.62023 (* 0.0272727 = 0.0441882 loss) | |
| I0321 19:36:08.824962 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0840705 (* 0.0272727 = 0.00229283 loss) | |
| I0321 19:36:08.824977 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0366433 (* 0.0272727 = 0.000999364 loss) | |
| I0321 19:36:08.824991 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0299401 (* 0.0272727 = 0.000816547 loss) | |
| I0321 19:36:08.825006 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.0192071 (* 0.0272727 = 0.00052383 loss) | |
| I0321 19:36:08.825021 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.0192765 (* 0.0272727 = 0.000525722 loss) | |
| I0321 19:36:08.825037 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.0174924 (* 0.0272727 = 0.000477066 loss) | |
| I0321 19:36:08.825050 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.0154587 (* 0.0272727 = 0.000421601 loss) | |
| I0321 19:36:08.825065 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.0157996 (* 0.0272727 = 0.000430898 loss) | |
| I0321 19:36:08.825079 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.0113612 (* 0.0272727 = 0.000309852 loss) | |
| I0321 19:36:08.825124 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.0140222 (* 0.0272727 = 0.000382422 loss) | |
| I0321 19:36:08.825140 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.01769 (* 0.0272727 = 0.000482454 loss) | |
| I0321 19:36:08.825160 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.0146837 (* 0.0272727 = 0.000400464 loss) | |
| I0321 19:36:08.825175 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.015051 (* 0.0272727 = 0.000410481 loss) | |
| I0321 19:36:08.825189 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.0150429 (* 0.0272727 = 0.00041026 loss) | |
| I0321 19:36:08.825204 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.0150717 (* 0.0272727 = 0.000411046 loss) | |
| I0321 19:36:08.825217 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:36:08.825229 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:36:08.825242 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.25 | |
| I0321 19:36:08.825253 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:36:08.825265 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:36:08.825278 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:36:08.825289 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:36:08.825301 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:36:08.825314 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:36:08.825321 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:36:08.825328 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:36:08.825341 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:36:08.825353 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:36:08.825366 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:36:08.825384 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:36:08.825417 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:36:08.825440 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:36:08.825470 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:36:08.825495 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:36:08.825523 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:36:08.825541 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:36:08.825552 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:36:08.825567 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 4.10259 (* 0.0272727 = 0.111889 loss) | |
| I0321 19:36:08.825582 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.33702 (* 0.0272727 = 0.118282 loss) | |
| I0321 19:36:08.825595 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.53333 (* 0.0272727 = 0.0963634 loss) | |
| I0321 19:36:08.825610 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 4.02033 (* 0.0272727 = 0.109645 loss) | |
| I0321 19:36:08.825624 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 4.313 (* 0.0272727 = 0.117627 loss) | |
| I0321 19:36:08.825639 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.37498 (* 0.0272727 = 0.0647721 loss) | |
| I0321 19:36:08.825654 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.54374 (* 0.0272727 = 0.0421021 loss) | |
| I0321 19:36:08.825667 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0787451 (* 0.0272727 = 0.00214759 loss) | |
| I0321 19:36:08.825682 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0448731 (* 0.0272727 = 0.00122381 loss) | |
| I0321 19:36:08.825696 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0201829 (* 0.0272727 = 0.000550442 loss) | |
| I0321 19:36:08.825711 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.0140685 (* 0.0272727 = 0.000383687 loss) | |
| I0321 19:36:08.825739 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.0177577 (* 0.0272727 = 0.000484301 loss) | |
| I0321 19:36:08.825755 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.0176067 (* 0.0272727 = 0.000480182 loss) | |
| I0321 19:36:08.825770 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.0174621 (* 0.0272727 = 0.000476239 loss) | |
| I0321 19:36:08.825784 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.0148719 (* 0.0272727 = 0.000405598 loss) | |
| I0321 19:36:08.825798 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.0229319 (* 0.0272727 = 0.000625416 loss) | |
| I0321 19:36:08.825816 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.0156661 (* 0.0272727 = 0.000427258 loss) | |
| I0321 19:36:08.825831 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.0134542 (* 0.0272727 = 0.000366933 loss) | |
| I0321 19:36:08.825845 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.0148641 (* 0.0272727 = 0.000405385 loss) | |
| I0321 19:36:08.825860 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.015582 (* 0.0272727 = 0.000424963 loss) | |
| I0321 19:36:08.825875 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.0153417 (* 0.0272727 = 0.00041841 loss) | |
| I0321 19:36:08.825889 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.0132047 (* 0.0272727 = 0.000360128 loss) | |
| I0321 19:36:08.825901 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:36:08.825913 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:36:08.825925 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:36:08.825937 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:36:08.825948 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:36:08.825960 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:36:08.825973 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:36:08.825984 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:36:08.825996 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:36:08.826007 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:36:08.826020 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:36:08.826031 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:36:08.826042 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:36:08.826055 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:36:08.826066 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:36:08.826078 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:36:08.826091 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:36:08.826102 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:36:08.826113 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:36:08.826125 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:36:08.826136 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:36:08.826148 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:36:08.826162 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 4.28003 (* 0.0909091 = 0.389093 loss) | |
| I0321 19:36:08.826176 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.9506 (* 0.0909091 = 0.359145 loss) | |
| I0321 19:36:08.826191 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.71338 (* 0.0909091 = 0.33758 loss) | |
| I0321 19:36:08.826210 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.66802 (* 0.0909091 = 0.333457 loss) | |
| I0321 19:36:08.826227 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.83065 (* 0.0909091 = 0.348241 loss) | |
| I0321 19:36:08.826252 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.28799 (* 0.0909091 = 0.207999 loss) | |
| I0321 19:36:08.826267 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.55431 (* 0.0909091 = 0.141301 loss) | |
| I0321 19:36:08.826282 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0900925 (* 0.0909091 = 0.00819022 loss) | |
| I0321 19:36:08.826304 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0396016 (* 0.0909091 = 0.00360014 loss) | |
| I0321 19:36:08.826318 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00464021 (* 0.0909091 = 0.000421837 loss) | |
| I0321 19:36:08.826333 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000319857 (* 0.0909091 = 2.90779e-05 loss) | |
| I0321 19:36:08.826349 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000255469 (* 0.0909091 = 2.32245e-05 loss) | |
| I0321 19:36:08.826364 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000309914 (* 0.0909091 = 2.8174e-05 loss) | |
| I0321 19:36:08.826377 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000326306 (* 0.0909091 = 2.96641e-05 loss) | |
| I0321 19:36:08.826395 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000238676 (* 0.0909091 = 2.16978e-05 loss) | |
| I0321 19:36:08.826411 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.0003035 (* 0.0909091 = 2.75909e-05 loss) | |
| I0321 19:36:08.826426 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000309929 (* 0.0909091 = 2.81754e-05 loss) | |
| I0321 19:36:08.826439 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000250643 (* 0.0909091 = 2.27857e-05 loss) | |
| I0321 19:36:08.826454 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000340619 (* 0.0909091 = 3.09654e-05 loss) | |
| I0321 19:36:08.826468 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000303149 (* 0.0909091 = 2.7559e-05 loss) | |
| I0321 19:36:08.826483 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000312453 (* 0.0909091 = 2.84048e-05 loss) | |
| I0321 19:36:08.826498 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000375627 (* 0.0909091 = 3.41479e-05 loss) | |
| I0321 19:36:08.826510 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:36:08.826522 2639 solver.cpp:245] Train net output #133: total_confidence = 2.23814e-06 | |
| I0321 19:36:08.826534 2639 sgd_solver.cpp:106] Iteration 100, lr = 0.01 | |
| I0321 19:36:30.779911 2639 solver.cpp:229] Iteration 200, loss = 3.60609 | |
| I0321 19:36:30.780092 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:36:30.780125 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:36:30.780139 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:36:30.780151 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:36:30.780164 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:36:30.780176 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.125 | |
| I0321 19:36:30.780189 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:36:30.780200 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:36:30.780212 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:36:30.780225 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:36:30.780236 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:36:30.780248 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:36:30.780259 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:36:30.780272 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:36:30.780283 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:36:30.780295 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:36:30.780306 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:36:30.780318 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:36:30.780329 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:36:30.780341 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:36:30.780354 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:36:30.780365 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:36:30.780381 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.48552 (* 0.0272727 = 0.0950597 loss) | |
| I0321 19:36:30.780396 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.78532 (* 0.0272727 = 0.103236 loss) | |
| I0321 19:36:30.780411 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.92069 (* 0.0272727 = 0.106928 loss) | |
| I0321 19:36:30.780426 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.86491 (* 0.0272727 = 0.105407 loss) | |
| I0321 19:36:30.780439 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.35431 (* 0.0272727 = 0.0914813 loss) | |
| I0321 19:36:30.780454 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 4.24426 (* 0.0272727 = 0.115752 loss) | |
| I0321 19:36:30.780468 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 2.41116 (* 0.0272727 = 0.0657588 loss) | |
| I0321 19:36:30.780483 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.08753 (* 0.0272727 = 0.0296599 loss) | |
| I0321 19:36:30.780498 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0327385 (* 0.0272727 = 0.000892869 loss) | |
| I0321 19:36:30.780513 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0136075 (* 0.0272727 = 0.000371114 loss) | |
| I0321 19:36:30.780527 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00663887 (* 0.0272727 = 0.00018106 loss) | |
| I0321 19:36:30.780541 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00796149 (* 0.0272727 = 0.000217132 loss) | |
| I0321 19:36:30.780556 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00571057 (* 0.0272727 = 0.000155743 loss) | |
| I0321 19:36:30.780570 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.0066172 (* 0.0272727 = 0.000180469 loss) | |
| I0321 19:36:30.780586 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00564378 (* 0.0272727 = 0.000153921 loss) | |
| I0321 19:36:30.780599 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00863618 (* 0.0272727 = 0.000235532 loss) | |
| I0321 19:36:30.780614 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.0057774 (* 0.0272727 = 0.000157566 loss) | |
| I0321 19:36:30.780642 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00640222 (* 0.0272727 = 0.000174606 loss) | |
| I0321 19:36:30.780658 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00991222 (* 0.0272727 = 0.000270333 loss) | |
| I0321 19:36:30.780676 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.0055331 (* 0.0272727 = 0.000150903 loss) | |
| I0321 19:36:30.780691 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00760356 (* 0.0272727 = 0.00020737 loss) | |
| I0321 19:36:30.780706 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00588934 (* 0.0272727 = 0.000160618 loss) | |
| I0321 19:36:30.780719 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:36:30.780731 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:36:30.780743 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.25 | |
| I0321 19:36:30.780755 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:36:30.780767 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:36:30.780779 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.125 | |
| I0321 19:36:30.780791 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:36:30.780803 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:36:30.780815 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:36:30.780827 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:36:30.780838 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:36:30.780849 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:36:30.780861 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:36:30.780872 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:36:30.780884 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:36:30.780895 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:36:30.780907 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:36:30.780918 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:36:30.780930 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:36:30.780941 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:36:30.780953 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:36:30.780966 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:36:30.780978 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.57137 (* 0.0272727 = 0.0974011 loss) | |
| I0321 19:36:30.780993 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.34076 (* 0.0272727 = 0.0911116 loss) | |
| I0321 19:36:30.781008 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.79401 (* 0.0272727 = 0.103473 loss) | |
| I0321 19:36:30.781021 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.71552 (* 0.0272727 = 0.101332 loss) | |
| I0321 19:36:30.781035 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.64372 (* 0.0272727 = 0.0993742 loss) | |
| I0321 19:36:30.781049 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 4.14292 (* 0.0272727 = 0.112989 loss) | |
| I0321 19:36:30.781064 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 2.53348 (* 0.0272727 = 0.0690948 loss) | |
| I0321 19:36:30.781077 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.0856 (* 0.0272727 = 0.0296073 loss) | |
| I0321 19:36:30.781095 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0554927 (* 0.0272727 = 0.00151344 loss) | |
| I0321 19:36:30.781111 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0151878 (* 0.0272727 = 0.000414214 loss) | |
| I0321 19:36:30.781126 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00658028 (* 0.0272727 = 0.000179462 loss) | |
| I0321 19:36:30.781149 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00532821 (* 0.0272727 = 0.000145315 loss) | |
| I0321 19:36:30.781165 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00524493 (* 0.0272727 = 0.000143044 loss) | |
| I0321 19:36:30.781180 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.0054732 (* 0.0272727 = 0.000149269 loss) | |
| I0321 19:36:30.781195 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00476748 (* 0.0272727 = 0.000130022 loss) | |
| I0321 19:36:30.781209 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00528716 (* 0.0272727 = 0.000144195 loss) | |
| I0321 19:36:30.781224 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00618859 (* 0.0272727 = 0.00016878 loss) | |
| I0321 19:36:30.781239 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00749943 (* 0.0272727 = 0.00020453 loss) | |
| I0321 19:36:30.781252 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00807876 (* 0.0272727 = 0.00022033 loss) | |
| I0321 19:36:30.781267 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00644399 (* 0.0272727 = 0.000175745 loss) | |
| I0321 19:36:30.781281 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00573145 (* 0.0272727 = 0.000156312 loss) | |
| I0321 19:36:30.781296 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00640426 (* 0.0272727 = 0.000174662 loss) | |
| I0321 19:36:30.781308 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:36:30.781322 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:36:30.781333 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:36:30.781345 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:36:30.781358 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:36:30.781369 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.125 | |
| I0321 19:36:30.781381 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:36:30.781393 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:36:30.781404 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:36:30.781416 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:36:30.781429 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:36:30.781440 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:36:30.781451 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:36:30.781462 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:36:30.781474 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:36:30.781486 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:36:30.781497 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:36:30.781508 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:36:30.781520 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:36:30.781533 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:36:30.781543 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:36:30.781555 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:36:30.781569 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.40559 (* 0.0909091 = 0.309599 loss) | |
| I0321 19:36:30.781584 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.63368 (* 0.0909091 = 0.330334 loss) | |
| I0321 19:36:30.781597 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.64442 (* 0.0909091 = 0.331311 loss) | |
| I0321 19:36:30.781611 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.52845 (* 0.0909091 = 0.320769 loss) | |
| I0321 19:36:30.781625 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.28508 (* 0.0909091 = 0.298644 loss) | |
| I0321 19:36:30.781641 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.55907 (* 0.0909091 = 0.323552 loss) | |
| I0321 19:36:30.781664 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 2.21146 (* 0.0909091 = 0.201042 loss) | |
| I0321 19:36:30.781679 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.85421 (* 0.0909091 = 0.0776554 loss) | |
| I0321 19:36:30.781694 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.060862 (* 0.0909091 = 0.00553291 loss) | |
| I0321 19:36:30.781708 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0121154 (* 0.0909091 = 0.0011014 loss) | |
| I0321 19:36:30.781726 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000402417 (* 0.0909091 = 3.65834e-05 loss) | |
| I0321 19:36:30.781741 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000302734 (* 0.0909091 = 2.75212e-05 loss) | |
| I0321 19:36:30.781756 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00043837 (* 0.0909091 = 3.98519e-05 loss) | |
| I0321 19:36:30.781770 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000411236 (* 0.0909091 = 3.73851e-05 loss) | |
| I0321 19:36:30.781785 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000364179 (* 0.0909091 = 3.31072e-05 loss) | |
| I0321 19:36:30.781800 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00030934 (* 0.0909091 = 2.81218e-05 loss) | |
| I0321 19:36:30.781815 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000401494 (* 0.0909091 = 3.64994e-05 loss) | |
| I0321 19:36:30.781828 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000385937 (* 0.0909091 = 3.50852e-05 loss) | |
| I0321 19:36:30.781843 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000410896 (* 0.0909091 = 3.73542e-05 loss) | |
| I0321 19:36:30.781860 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000418419 (* 0.0909091 = 3.80381e-05 loss) | |
| I0321 19:36:30.781877 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000411198 (* 0.0909091 = 3.73816e-05 loss) | |
| I0321 19:36:30.781890 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000515566 (* 0.0909091 = 4.68696e-05 loss) | |
| I0321 19:36:30.781903 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:36:30.781915 2639 solver.cpp:245] Train net output #133: total_confidence = 6.05942e-06 | |
| I0321 19:36:30.781927 2639 sgd_solver.cpp:106] Iteration 200, lr = 0.01 | |
| I0321 19:36:52.587460 2639 solver.cpp:229] Iteration 300, loss = 3.52181 | |
| I0321 19:36:52.587512 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:36:52.587530 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:36:52.587543 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:36:52.587555 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.375 | |
| I0321 19:36:52.587568 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.5 | |
| I0321 19:36:52.587580 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:36:52.587592 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:36:52.587606 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:36:52.587618 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:36:52.587630 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:36:52.587642 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:36:52.587656 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:36:52.587671 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:36:52.587692 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:36:52.587704 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:36:52.587718 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:36:52.587728 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:36:52.587740 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:36:52.587779 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:36:52.587792 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:36:52.587805 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:36:52.587817 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:36:52.587833 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.80313 (* 0.0272727 = 0.103722 loss) | |
| I0321 19:36:52.587848 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.60282 (* 0.0272727 = 0.0982588 loss) | |
| I0321 19:36:52.587863 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.67859 (* 0.0272727 = 0.100325 loss) | |
| I0321 19:36:52.587878 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.25777 (* 0.0272727 = 0.0888483 loss) | |
| I0321 19:36:52.587893 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.61792 (* 0.0272727 = 0.0713978 loss) | |
| I0321 19:36:52.587908 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.24211 (* 0.0272727 = 0.0611483 loss) | |
| I0321 19:36:52.587921 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.13641 (* 0.0272727 = 0.030993 loss) | |
| I0321 19:36:52.587942 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.11719 (* 0.0272727 = 0.0304687 loss) | |
| I0321 19:36:52.587957 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0985207 (* 0.0272727 = 0.00268693 loss) | |
| I0321 19:36:52.587972 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0560233 (* 0.0272727 = 0.00152791 loss) | |
| I0321 19:36:52.587987 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00930183 (* 0.0272727 = 0.000253686 loss) | |
| I0321 19:36:52.588002 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.0142061 (* 0.0272727 = 0.00038744 loss) | |
| I0321 19:36:52.588017 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.0120405 (* 0.0272727 = 0.000328377 loss) | |
| I0321 19:36:52.588032 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00942248 (* 0.0272727 = 0.000256977 loss) | |
| I0321 19:36:52.588047 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.0120393 (* 0.0272727 = 0.000328344 loss) | |
| I0321 19:36:52.588079 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00921444 (* 0.0272727 = 0.000251303 loss) | |
| I0321 19:36:52.588095 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.0120095 (* 0.0272727 = 0.000327532 loss) | |
| I0321 19:36:52.588110 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.0144358 (* 0.0272727 = 0.000393704 loss) | |
| I0321 19:36:52.588124 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00623136 (* 0.0272727 = 0.000169946 loss) | |
| I0321 19:36:52.588140 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00875503 (* 0.0272727 = 0.000238774 loss) | |
| I0321 19:36:52.588153 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.016197 (* 0.0272727 = 0.000441735 loss) | |
| I0321 19:36:52.588168 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.0107304 (* 0.0272727 = 0.000292647 loss) | |
| I0321 19:36:52.588181 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:36:52.588193 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:36:52.588207 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:36:52.588217 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:36:52.588229 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.5 | |
| I0321 19:36:52.588241 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:36:52.588253 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:36:52.588265 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:36:52.588276 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:36:52.588289 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:36:52.588312 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:36:52.588326 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:36:52.588337 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:36:52.588351 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:36:52.588361 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:36:52.588373 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:36:52.588385 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:36:52.588397 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:36:52.588408 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:36:52.588420 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:36:52.588431 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:36:52.588443 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:36:52.588456 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.65729 (* 0.0272727 = 0.0997442 loss) | |
| I0321 19:36:52.588471 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.50031 (* 0.0272727 = 0.095463 loss) | |
| I0321 19:36:52.588485 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.87237 (* 0.0272727 = 0.10561 loss) | |
| I0321 19:36:52.588500 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.16455 (* 0.0272727 = 0.086306 loss) | |
| I0321 19:36:52.588515 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.43369 (* 0.0272727 = 0.0663734 loss) | |
| I0321 19:36:52.588528 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.43964 (* 0.0272727 = 0.0665357 loss) | |
| I0321 19:36:52.588542 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.975232 (* 0.0272727 = 0.0265972 loss) | |
| I0321 19:36:52.588557 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.04035 (* 0.0272727 = 0.0283733 loss) | |
| I0321 19:36:52.588572 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.10407 (* 0.0272727 = 0.00283827 loss) | |
| I0321 19:36:52.588587 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0365619 (* 0.0272727 = 0.000997142 loss) | |
| I0321 19:36:52.588601 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00544683 (* 0.0272727 = 0.00014855 loss) | |
| I0321 19:36:52.588616 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00828665 (* 0.0272727 = 0.000226 loss) | |
| I0321 19:36:52.588630 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00563153 (* 0.0272727 = 0.000153587 loss) | |
| I0321 19:36:52.588645 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.0106761 (* 0.0272727 = 0.000291167 loss) | |
| I0321 19:36:52.588660 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00847236 (* 0.0272727 = 0.000231064 loss) | |
| I0321 19:36:52.588675 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00757502 (* 0.0272727 = 0.000206592 loss) | |
| I0321 19:36:52.588693 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00809076 (* 0.0272727 = 0.000220657 loss) | |
| I0321 19:36:52.588703 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00745534 (* 0.0272727 = 0.000203328 loss) | |
| I0321 19:36:52.588721 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00718777 (* 0.0272727 = 0.00019603 loss) | |
| I0321 19:36:52.588737 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00716673 (* 0.0272727 = 0.000195456 loss) | |
| I0321 19:36:52.588752 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.0123893 (* 0.0272727 = 0.000337889 loss) | |
| I0321 19:36:52.588773 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00611281 (* 0.0272727 = 0.000166713 loss) | |
| I0321 19:36:52.588786 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:36:52.588798 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:36:52.588821 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:36:52.588835 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.375 | |
| I0321 19:36:52.588846 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.5 | |
| I0321 19:36:52.588858 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:36:52.588871 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:36:52.588883 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:36:52.588896 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:36:52.588907 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:36:52.588918 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:36:52.588930 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:36:52.588942 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:36:52.588953 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:36:52.588964 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:36:52.588975 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:36:52.588987 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:36:52.588999 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:36:52.589010 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:36:52.589020 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:36:52.589032 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:36:52.589043 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:36:52.589057 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.39595 (* 0.0909091 = 0.308723 loss) | |
| I0321 19:36:52.589071 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.52072 (* 0.0909091 = 0.320065 loss) | |
| I0321 19:36:52.589087 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.49467 (* 0.0909091 = 0.317697 loss) | |
| I0321 19:36:52.589100 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.15943 (* 0.0909091 = 0.287221 loss) | |
| I0321 19:36:52.589114 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.39614 (* 0.0909091 = 0.217831 loss) | |
| I0321 19:36:52.589128 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.12354 (* 0.0909091 = 0.193049 loss) | |
| I0321 19:36:52.589143 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.940838 (* 0.0909091 = 0.0855307 loss) | |
| I0321 19:36:52.589157 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.909503 (* 0.0909091 = 0.0826821 loss) | |
| I0321 19:36:52.589172 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.045471 (* 0.0909091 = 0.00413372 loss) | |
| I0321 19:36:52.589186 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0184081 (* 0.0909091 = 0.00167347 loss) | |
| I0321 19:36:52.589201 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000199265 (* 0.0909091 = 1.8115e-05 loss) | |
| I0321 19:36:52.589215 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000154538 (* 0.0909091 = 1.40489e-05 loss) | |
| I0321 19:36:52.589229 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000199759 (* 0.0909091 = 1.81599e-05 loss) | |
| I0321 19:36:52.589244 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000181608 (* 0.0909091 = 1.65099e-05 loss) | |
| I0321 19:36:52.589258 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000129264 (* 0.0909091 = 1.17513e-05 loss) | |
| I0321 19:36:52.589273 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000189527 (* 0.0909091 = 1.72297e-05 loss) | |
| I0321 19:36:52.589287 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00015923 (* 0.0909091 = 1.44755e-05 loss) | |
| I0321 19:36:52.589303 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000158843 (* 0.0909091 = 1.44403e-05 loss) | |
| I0321 19:36:52.589331 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000163201 (* 0.0909091 = 1.48364e-05 loss) | |
| I0321 19:36:52.589347 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000221599 (* 0.0909091 = 2.01454e-05 loss) | |
| I0321 19:36:52.589361 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000197389 (* 0.0909091 = 1.79445e-05 loss) | |
| I0321 19:36:52.589376 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000213477 (* 0.0909091 = 1.9407e-05 loss) | |
| I0321 19:36:52.589390 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:36:52.589401 2639 solver.cpp:245] Train net output #133: total_confidence = 2.06816e-05 | |
| I0321 19:36:52.589413 2639 sgd_solver.cpp:106] Iteration 300, lr = 0.01 | |
| I0321 19:37:14.498445 2639 solver.cpp:229] Iteration 400, loss = 3.50365 | |
| I0321 19:37:14.498559 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:37:14.498579 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:37:14.498592 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:37:14.498605 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:37:14.498616 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:37:14.498628 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:37:14.498641 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:37:14.498652 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:37:14.498667 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:37:14.498679 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:37:14.498692 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:37:14.498703 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:37:14.498715 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:37:14.498728 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:37:14.498739 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:37:14.498757 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:37:14.498770 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:37:14.498782 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:37:14.498795 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:37:14.498806 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:37:14.498817 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:37:14.498829 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:37:14.498845 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.74282 (* 0.0272727 = 0.102077 loss) | |
| I0321 19:37:14.498859 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.96517 (* 0.0272727 = 0.108141 loss) | |
| I0321 19:37:14.498874 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.72393 (* 0.0272727 = 0.101562 loss) | |
| I0321 19:37:14.498889 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.9318 (* 0.0272727 = 0.107231 loss) | |
| I0321 19:37:14.498903 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.16862 (* 0.0272727 = 0.086417 loss) | |
| I0321 19:37:14.498919 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.62643 (* 0.0272727 = 0.07163 loss) | |
| I0321 19:37:14.498932 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.03173 (* 0.0272727 = 0.0281381 loss) | |
| I0321 19:37:14.498946 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.771395 (* 0.0272727 = 0.021038 loss) | |
| I0321 19:37:14.498961 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0530608 (* 0.0272727 = 0.00144711 loss) | |
| I0321 19:37:14.498976 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0184189 (* 0.0272727 = 0.000502334 loss) | |
| I0321 19:37:14.498991 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.0055541 (* 0.0272727 = 0.000151475 loss) | |
| I0321 19:37:14.499006 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00450519 (* 0.0272727 = 0.000122869 loss) | |
| I0321 19:37:14.499020 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00565037 (* 0.0272727 = 0.000154101 loss) | |
| I0321 19:37:14.499035 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00536211 (* 0.0272727 = 0.000146239 loss) | |
| I0321 19:37:14.499050 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00444882 (* 0.0272727 = 0.000121332 loss) | |
| I0321 19:37:14.499064 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00477215 (* 0.0272727 = 0.00013015 loss) | |
| I0321 19:37:14.499079 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00549162 (* 0.0272727 = 0.000149772 loss) | |
| I0321 19:37:14.499116 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00381992 (* 0.0272727 = 0.00010418 loss) | |
| I0321 19:37:14.499132 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00518775 (* 0.0272727 = 0.000141484 loss) | |
| I0321 19:37:14.499146 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00444142 (* 0.0272727 = 0.00012113 loss) | |
| I0321 19:37:14.499161 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00540101 (* 0.0272727 = 0.0001473 loss) | |
| I0321 19:37:14.499176 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00460924 (* 0.0272727 = 0.000125707 loss) | |
| I0321 19:37:14.499189 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:37:14.499202 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:37:14.499212 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:37:14.499224 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:37:14.499236 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:37:14.499248 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:37:14.499260 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:37:14.499272 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:37:14.499284 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:37:14.499296 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:37:14.499307 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:37:14.499320 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:37:14.499330 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:37:14.499342 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:37:14.499353 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:37:14.499366 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:37:14.499377 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:37:14.499388 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:37:14.499399 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:37:14.499411 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:37:14.499423 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:37:14.499434 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:37:14.499449 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.48774 (* 0.0272727 = 0.0951202 loss) | |
| I0321 19:37:14.499462 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.77228 (* 0.0272727 = 0.10288 loss) | |
| I0321 19:37:14.499477 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.63146 (* 0.0272727 = 0.09904 loss) | |
| I0321 19:37:14.499491 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.7715 (* 0.0272727 = 0.102859 loss) | |
| I0321 19:37:14.499505 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.09996 (* 0.0272727 = 0.0845445 loss) | |
| I0321 19:37:14.499521 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.76744 (* 0.0272727 = 0.0754757 loss) | |
| I0321 19:37:14.499534 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.05015 (* 0.0272727 = 0.0286403 loss) | |
| I0321 19:37:14.499548 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.836354 (* 0.0272727 = 0.0228097 loss) | |
| I0321 19:37:14.499563 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0553841 (* 0.0272727 = 0.00151048 loss) | |
| I0321 19:37:14.499580 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0239027 (* 0.0272727 = 0.00065189 loss) | |
| I0321 19:37:14.499595 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00636202 (* 0.0272727 = 0.00017351 loss) | |
| I0321 19:37:14.499610 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00620839 (* 0.0272727 = 0.00016932 loss) | |
| I0321 19:37:14.499635 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00583498 (* 0.0272727 = 0.000159136 loss) | |
| I0321 19:37:14.499651 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00575756 (* 0.0272727 = 0.000157024 loss) | |
| I0321 19:37:14.499665 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00760717 (* 0.0272727 = 0.000207468 loss) | |
| I0321 19:37:14.499680 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00558874 (* 0.0272727 = 0.00015242 loss) | |
| I0321 19:37:14.499694 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00671645 (* 0.0272727 = 0.000183176 loss) | |
| I0321 19:37:14.499709 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00607181 (* 0.0272727 = 0.000165595 loss) | |
| I0321 19:37:14.499727 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00613397 (* 0.0272727 = 0.00016729 loss) | |
| I0321 19:37:14.499742 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00698769 (* 0.0272727 = 0.000190573 loss) | |
| I0321 19:37:14.499757 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00669349 (* 0.0272727 = 0.00018255 loss) | |
| I0321 19:37:14.499771 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00597482 (* 0.0272727 = 0.00016295 loss) | |
| I0321 19:37:14.499784 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:37:14.499796 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:37:14.499807 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:37:14.499819 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:37:14.499830 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:37:14.499842 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:37:14.499855 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:37:14.499866 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:37:14.499878 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:37:14.499889 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:37:14.499900 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:37:14.499912 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:37:14.499923 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:37:14.499934 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:37:14.499946 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:37:14.499958 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:37:14.499969 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:37:14.499980 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:37:14.499992 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:37:14.500004 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:37:14.500015 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:37:14.500026 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:37:14.500039 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.38965 (* 0.0909091 = 0.30815 loss) | |
| I0321 19:37:14.500072 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.42318 (* 0.0909091 = 0.311198 loss) | |
| I0321 19:37:14.500088 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.44354 (* 0.0909091 = 0.313049 loss) | |
| I0321 19:37:14.500103 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.85265 (* 0.0909091 = 0.350241 loss) | |
| I0321 19:37:14.500118 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.04566 (* 0.0909091 = 0.276878 loss) | |
| I0321 19:37:14.500133 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.86157 (* 0.0909091 = 0.260142 loss) | |
| I0321 19:37:14.500159 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.17667 (* 0.0909091 = 0.10697 loss) | |
| I0321 19:37:14.500174 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.884308 (* 0.0909091 = 0.0803916 loss) | |
| I0321 19:37:14.500188 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.040374 (* 0.0909091 = 0.00367036 loss) | |
| I0321 19:37:14.500202 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0211981 (* 0.0909091 = 0.0019271 loss) | |
| I0321 19:37:14.500217 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00062901 (* 0.0909091 = 5.71827e-05 loss) | |
| I0321 19:37:14.500232 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000542124 (* 0.0909091 = 4.9284e-05 loss) | |
| I0321 19:37:14.500247 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00066412 (* 0.0909091 = 6.03745e-05 loss) | |
| I0321 19:37:14.500262 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000666492 (* 0.0909091 = 6.05902e-05 loss) | |
| I0321 19:37:14.500277 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000680931 (* 0.0909091 = 6.19029e-05 loss) | |
| I0321 19:37:14.500293 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000541292 (* 0.0909091 = 4.92084e-05 loss) | |
| I0321 19:37:14.500306 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000616923 (* 0.0909091 = 5.6084e-05 loss) | |
| I0321 19:37:14.500321 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000667994 (* 0.0909091 = 6.07268e-05 loss) | |
| I0321 19:37:14.500336 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000721397 (* 0.0909091 = 6.55815e-05 loss) | |
| I0321 19:37:14.500351 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000795144 (* 0.0909091 = 7.22858e-05 loss) | |
| I0321 19:37:14.500361 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000631562 (* 0.0909091 = 5.74147e-05 loss) | |
| I0321 19:37:14.500371 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000736368 (* 0.0909091 = 6.69425e-05 loss) | |
| I0321 19:37:14.500385 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:37:14.500396 2639 solver.cpp:245] Train net output #133: total_confidence = 2.26454e-05 | |
| I0321 19:37:14.500409 2639 sgd_solver.cpp:106] Iteration 400, lr = 0.01 | |
| I0321 19:37:36.300267 2639 solver.cpp:229] Iteration 500, loss = 3.33261 | |
| I0321 19:37:36.300321 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:37:36.300338 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:37:36.300351 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:37:36.300364 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:37:36.300376 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0 | |
| I0321 19:37:36.300390 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0 | |
| I0321 19:37:36.300401 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:37:36.300413 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:37:36.300426 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:37:36.300438 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:37:36.300451 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:37:36.300462 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:37:36.300474 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:37:36.300487 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:37:36.300499 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:37:36.300511 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:37:36.300523 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:37:36.300535 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:37:36.300576 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:37:36.300590 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:37:36.300602 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:37:36.300614 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:37:36.300631 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.97025 (* 0.0272727 = 0.10828 loss) | |
| I0321 19:37:36.300645 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.93646 (* 0.0272727 = 0.107358 loss) | |
| I0321 19:37:36.300660 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.36967 (* 0.0272727 = 0.0919001 loss) | |
| I0321 19:37:36.300674 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.00243 (* 0.0272727 = 0.109157 loss) | |
| I0321 19:37:36.300689 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 4.10215 (* 0.0272727 = 0.111877 loss) | |
| I0321 19:37:36.300704 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 5.04677 (* 0.0272727 = 0.137639 loss) | |
| I0321 19:37:36.300717 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.735171 (* 0.0272727 = 0.0200501 loss) | |
| I0321 19:37:36.300732 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.831868 (* 0.0272727 = 0.0226873 loss) | |
| I0321 19:37:36.300750 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.24592 (* 0.0272727 = 0.0339796 loss) | |
| I0321 19:37:36.300765 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0556282 (* 0.0272727 = 0.00151713 loss) | |
| I0321 19:37:36.300781 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00329775 (* 0.0272727 = 8.99386e-05 loss) | |
| I0321 19:37:36.300796 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00413779 (* 0.0272727 = 0.000112849 loss) | |
| I0321 19:37:36.300811 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00405369 (* 0.0272727 = 0.000110555 loss) | |
| I0321 19:37:36.300824 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00320526 (* 0.0272727 = 8.74162e-05 loss) | |
| I0321 19:37:36.300839 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00334081 (* 0.0272727 = 9.11129e-05 loss) | |
| I0321 19:37:36.300854 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00310586 (* 0.0272727 = 8.47052e-05 loss) | |
| I0321 19:37:36.300869 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00523137 (* 0.0272727 = 0.000142674 loss) | |
| I0321 19:37:36.300884 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00331365 (* 0.0272727 = 9.03724e-05 loss) | |
| I0321 19:37:36.300899 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00279164 (* 0.0272727 = 7.61357e-05 loss) | |
| I0321 19:37:36.300914 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.0052212 (* 0.0272727 = 0.000142396 loss) | |
| I0321 19:37:36.300927 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00256793 (* 0.0272727 = 7.00343e-05 loss) | |
| I0321 19:37:36.300942 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00365542 (* 0.0272727 = 9.96932e-05 loss) | |
| I0321 19:37:36.300954 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:37:36.300967 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:37:36.300978 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:37:36.300990 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:37:36.301002 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0 | |
| I0321 19:37:36.301013 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0 | |
| I0321 19:37:36.301022 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:37:36.301029 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:37:36.301040 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:37:36.301053 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:37:36.301075 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:37:36.301089 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:37:36.301100 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:37:36.301111 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:37:36.301123 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:37:36.301136 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:37:36.301146 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:37:36.301158 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:37:36.301170 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:37:36.301182 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:37:36.301193 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:37:36.301208 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:37:36.301223 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.88594 (* 0.0272727 = 0.10598 loss) | |
| I0321 19:37:36.301237 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.76977 (* 0.0272727 = 0.102812 loss) | |
| I0321 19:37:36.301252 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.24469 (* 0.0272727 = 0.0884915 loss) | |
| I0321 19:37:36.301266 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 4.08885 (* 0.0272727 = 0.111514 loss) | |
| I0321 19:37:36.301280 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 4.19597 (* 0.0272727 = 0.114435 loss) | |
| I0321 19:37:36.301295 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 4.91917 (* 0.0272727 = 0.134159 loss) | |
| I0321 19:37:36.301309 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.794619 (* 0.0272727 = 0.0216714 loss) | |
| I0321 19:37:36.301323 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.733278 (* 0.0272727 = 0.0199985 loss) | |
| I0321 19:37:36.301338 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.981734 (* 0.0272727 = 0.0267746 loss) | |
| I0321 19:37:36.301353 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0514054 (* 0.0272727 = 0.00140196 loss) | |
| I0321 19:37:36.301367 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00455655 (* 0.0272727 = 0.000124269 loss) | |
| I0321 19:37:36.301383 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00446342 (* 0.0272727 = 0.00012173 loss) | |
| I0321 19:37:36.301396 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.0033563 (* 0.0272727 = 9.15353e-05 loss) | |
| I0321 19:37:36.301411 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00445048 (* 0.0272727 = 0.000121377 loss) | |
| I0321 19:37:36.301425 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00843865 (* 0.0272727 = 0.000230145 loss) | |
| I0321 19:37:36.301440 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00478899 (* 0.0272727 = 0.000130609 loss) | |
| I0321 19:37:36.301455 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00549555 (* 0.0272727 = 0.000149879 loss) | |
| I0321 19:37:36.301470 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00383035 (* 0.0272727 = 0.000104464 loss) | |
| I0321 19:37:36.301483 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00860274 (* 0.0272727 = 0.00023462 loss) | |
| I0321 19:37:36.301497 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00343161 (* 0.0272727 = 9.35894e-05 loss) | |
| I0321 19:37:36.301512 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00337687 (* 0.0272727 = 9.20964e-05 loss) | |
| I0321 19:37:36.301527 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.0027184 (* 0.0272727 = 7.4138e-05 loss) | |
| I0321 19:37:36.301539 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:37:36.301550 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:37:36.301563 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:37:36.301584 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:37:36.301596 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0 | |
| I0321 19:37:36.301609 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0 | |
| I0321 19:37:36.301620 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:37:36.301632 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:37:36.301645 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:37:36.301656 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:37:36.301667 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:37:36.301679 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:37:36.301690 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:37:36.301702 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:37:36.301713 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:37:36.301725 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:37:36.301736 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:37:36.301748 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:37:36.301760 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:37:36.301771 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:37:36.301784 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:37:36.301797 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:37:36.301812 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.90074 (* 0.0909091 = 0.354612 loss) | |
| I0321 19:37:36.301827 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.54741 (* 0.0909091 = 0.322492 loss) | |
| I0321 19:37:36.301841 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.20627 (* 0.0909091 = 0.29148 loss) | |
| I0321 19:37:36.301856 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.9094 (* 0.0909091 = 0.3554 loss) | |
| I0321 19:37:36.301870 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 4.09352 (* 0.0909091 = 0.372138 loss) | |
| I0321 19:37:36.301884 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 4.54815 (* 0.0909091 = 0.413469 loss) | |
| I0321 19:37:36.301899 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.72735 (* 0.0909091 = 0.0661228 loss) | |
| I0321 19:37:36.301913 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.685017 (* 0.0909091 = 0.0622743 loss) | |
| I0321 19:37:36.301928 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.978785 (* 0.0909091 = 0.0889805 loss) | |
| I0321 19:37:36.301941 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0108643 (* 0.0909091 = 0.00098766 loss) | |
| I0321 19:37:36.301956 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000190096 (* 0.0909091 = 1.72815e-05 loss) | |
| I0321 19:37:36.301970 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000172577 (* 0.0909091 = 1.56888e-05 loss) | |
| I0321 19:37:36.301985 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000225198 (* 0.0909091 = 2.04725e-05 loss) | |
| I0321 19:37:36.302000 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000200597 (* 0.0909091 = 1.82361e-05 loss) | |
| I0321 19:37:36.302013 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000201195 (* 0.0909091 = 1.82905e-05 loss) | |
| I0321 19:37:36.302028 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000202352 (* 0.0909091 = 1.83957e-05 loss) | |
| I0321 19:37:36.302043 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000191028 (* 0.0909091 = 1.73662e-05 loss) | |
| I0321 19:37:36.302057 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.00018644 (* 0.0909091 = 1.69491e-05 loss) | |
| I0321 19:37:36.302083 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00019517 (* 0.0909091 = 1.77427e-05 loss) | |
| I0321 19:37:36.302098 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000219184 (* 0.0909091 = 1.99258e-05 loss) | |
| I0321 19:37:36.302112 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000265655 (* 0.0909091 = 2.41505e-05 loss) | |
| I0321 19:37:36.302126 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000266007 (* 0.0909091 = 2.41824e-05 loss) | |
| I0321 19:37:36.302139 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:37:36.302150 2639 solver.cpp:245] Train net output #133: total_confidence = 1.73005e-05 | |
| I0321 19:37:36.302163 2639 sgd_solver.cpp:106] Iteration 500, lr = 0.01 | |
| I0321 19:37:58.157341 2639 solver.cpp:229] Iteration 600, loss = 3.36182 | |
| I0321 19:37:58.157477 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:37:58.157500 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:37:58.157512 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:37:58.157524 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:37:58.157537 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:37:58.157551 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:37:58.157563 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:37:58.157575 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:37:58.157588 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:37:58.157600 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:37:58.157611 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:37:58.157624 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:37:58.157636 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:37:58.157649 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:37:58.157660 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:37:58.157675 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:37:58.157686 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:37:58.157698 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:37:58.157711 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:37:58.157722 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:37:58.157733 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:37:58.157745 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:37:58.157763 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.57953 (* 0.0272727 = 0.0976235 loss) | |
| I0321 19:37:58.157778 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.2328 (* 0.0272727 = 0.0881672 loss) | |
| I0321 19:37:58.157793 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.82672 (* 0.0272727 = 0.104365 loss) | |
| I0321 19:37:58.157806 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.90713 (* 0.0272727 = 0.106558 loss) | |
| I0321 19:37:58.157820 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.49919 (* 0.0272727 = 0.0954325 loss) | |
| I0321 19:37:58.157835 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.58364 (* 0.0272727 = 0.0704629 loss) | |
| I0321 19:37:58.157850 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.79669 (* 0.0272727 = 0.0490007 loss) | |
| I0321 19:37:58.157863 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.696049 (* 0.0272727 = 0.0189832 loss) | |
| I0321 19:37:58.157878 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0380827 (* 0.0272727 = 0.00103862 loss) | |
| I0321 19:37:58.157896 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0127442 (* 0.0272727 = 0.000347568 loss) | |
| I0321 19:37:58.157910 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00232121 (* 0.0272727 = 6.33058e-05 loss) | |
| I0321 19:37:58.157925 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.0028248 (* 0.0272727 = 7.70399e-05 loss) | |
| I0321 19:37:58.157940 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00283217 (* 0.0272727 = 7.7241e-05 loss) | |
| I0321 19:37:58.157966 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00238226 (* 0.0272727 = 6.49709e-05 loss) | |
| I0321 19:37:58.157982 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00266627 (* 0.0272727 = 7.27163e-05 loss) | |
| I0321 19:37:58.157997 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00341601 (* 0.0272727 = 9.31638e-05 loss) | |
| I0321 19:37:58.158012 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00342738 (* 0.0272727 = 9.34739e-05 loss) | |
| I0321 19:37:58.158041 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00221702 (* 0.0272727 = 6.04642e-05 loss) | |
| I0321 19:37:58.158056 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00258039 (* 0.0272727 = 7.03742e-05 loss) | |
| I0321 19:37:58.158071 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00309883 (* 0.0272727 = 8.45135e-05 loss) | |
| I0321 19:37:58.158085 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00309958 (* 0.0272727 = 8.45341e-05 loss) | |
| I0321 19:37:58.158099 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00237865 (* 0.0272727 = 6.48723e-05 loss) | |
| I0321 19:37:58.158113 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:37:58.158124 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:37:58.158138 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:37:58.158149 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:37:58.158161 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:37:58.158174 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:37:58.158185 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:37:58.158197 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:37:58.158210 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:37:58.158221 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:37:58.158232 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:37:58.158243 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:37:58.158255 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:37:58.158267 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:37:58.158278 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:37:58.158289 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:37:58.158301 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:37:58.158313 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:37:58.158324 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:37:58.158335 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:37:58.158347 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:37:58.158360 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:37:58.158373 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.61058 (* 0.0272727 = 0.0984704 loss) | |
| I0321 19:37:58.158387 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.59758 (* 0.0272727 = 0.0981158 loss) | |
| I0321 19:37:58.158402 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.76103 (* 0.0272727 = 0.102573 loss) | |
| I0321 19:37:58.158416 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.87578 (* 0.0272727 = 0.105703 loss) | |
| I0321 19:37:58.158431 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.11347 (* 0.0272727 = 0.0849129 loss) | |
| I0321 19:37:58.158444 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.8038 (* 0.0272727 = 0.0764672 loss) | |
| I0321 19:37:58.158459 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.99944 (* 0.0272727 = 0.0545303 loss) | |
| I0321 19:37:58.158473 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.637314 (* 0.0272727 = 0.0173813 loss) | |
| I0321 19:37:58.158488 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0446111 (* 0.0272727 = 0.00121667 loss) | |
| I0321 19:37:58.158505 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0205378 (* 0.0272727 = 0.000560122 loss) | |
| I0321 19:37:58.158521 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00259748 (* 0.0272727 = 7.08404e-05 loss) | |
| I0321 19:37:58.158546 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00321477 (* 0.0272727 = 8.76755e-05 loss) | |
| I0321 19:37:58.158561 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00236492 (* 0.0272727 = 6.44979e-05 loss) | |
| I0321 19:37:58.158576 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00361736 (* 0.0272727 = 9.86552e-05 loss) | |
| I0321 19:37:58.158591 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00337158 (* 0.0272727 = 9.19523e-05 loss) | |
| I0321 19:37:58.158606 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00310336 (* 0.0272727 = 8.46372e-05 loss) | |
| I0321 19:37:58.158620 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00282061 (* 0.0272727 = 7.69258e-05 loss) | |
| I0321 19:37:58.158634 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00403036 (* 0.0272727 = 0.000109919 loss) | |
| I0321 19:37:58.158649 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00304392 (* 0.0272727 = 8.3016e-05 loss) | |
| I0321 19:37:58.158664 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00433417 (* 0.0272727 = 0.000118205 loss) | |
| I0321 19:37:58.158679 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00444148 (* 0.0272727 = 0.000121131 loss) | |
| I0321 19:37:58.158694 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00388537 (* 0.0272727 = 0.000105965 loss) | |
| I0321 19:37:58.158706 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:37:58.158720 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:37:58.158733 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:37:58.158746 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:37:58.158756 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:37:58.158769 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:37:58.158782 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:37:58.158793 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:37:58.158805 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:37:58.158818 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:37:58.158828 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:37:58.158840 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:37:58.158851 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:37:58.158864 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:37:58.158875 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:37:58.158886 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:37:58.158900 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:37:58.158906 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:37:58.158915 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:37:58.158929 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:37:58.158941 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:37:58.158952 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:37:58.158967 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.38209 (* 0.0909091 = 0.307463 loss) | |
| I0321 19:37:58.158980 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.47218 (* 0.0909091 = 0.315653 loss) | |
| I0321 19:37:58.158994 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.49405 (* 0.0909091 = 0.317641 loss) | |
| I0321 19:37:58.159008 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.80783 (* 0.0909091 = 0.346166 loss) | |
| I0321 19:37:58.159024 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.1779 (* 0.0909091 = 0.2889 loss) | |
| I0321 19:37:58.159037 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.91034 (* 0.0909091 = 0.264576 loss) | |
| I0321 19:37:58.159061 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.78417 (* 0.0909091 = 0.162197 loss) | |
| I0321 19:37:58.159077 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.591923 (* 0.0909091 = 0.0538112 loss) | |
| I0321 19:37:58.159091 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0490555 (* 0.0909091 = 0.00445959 loss) | |
| I0321 19:37:58.159106 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0159487 (* 0.0909091 = 0.00144989 loss) | |
| I0321 19:37:58.159121 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000378702 (* 0.0909091 = 3.44275e-05 loss) | |
| I0321 19:37:58.159134 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000389671 (* 0.0909091 = 3.54247e-05 loss) | |
| I0321 19:37:58.159149 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000523027 (* 0.0909091 = 4.75479e-05 loss) | |
| I0321 19:37:58.159163 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000470659 (* 0.0909091 = 4.27872e-05 loss) | |
| I0321 19:37:58.159178 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000669296 (* 0.0909091 = 6.08451e-05 loss) | |
| I0321 19:37:58.159193 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000357997 (* 0.0909091 = 3.25452e-05 loss) | |
| I0321 19:37:58.159206 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000528856 (* 0.0909091 = 4.80778e-05 loss) | |
| I0321 19:37:58.159220 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000429752 (* 0.0909091 = 3.90683e-05 loss) | |
| I0321 19:37:58.159235 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000537663 (* 0.0909091 = 4.88784e-05 loss) | |
| I0321 19:37:58.159250 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000595021 (* 0.0909091 = 5.40929e-05 loss) | |
| I0321 19:37:58.159263 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000535484 (* 0.0909091 = 4.86804e-05 loss) | |
| I0321 19:37:58.159278 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000676661 (* 0.0909091 = 6.15146e-05 loss) | |
| I0321 19:37:58.159291 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:37:58.159302 2639 solver.cpp:245] Train net output #133: total_confidence = 4.16538e-06 | |
| I0321 19:37:58.159315 2639 sgd_solver.cpp:106] Iteration 600, lr = 0.01 | |
| I0321 19:38:20.092855 2639 solver.cpp:229] Iteration 700, loss = 3.36713 | |
| I0321 19:38:20.092922 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:38:20.092949 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:38:20.092972 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:38:20.092993 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:38:20.093014 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0 | |
| I0321 19:38:20.093035 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:38:20.093058 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:38:20.093080 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:38:20.093102 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:38:20.093124 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:38:20.093149 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:38:20.093173 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:38:20.093195 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:38:20.093217 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:38:20.093237 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:38:20.093261 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:38:20.093284 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:38:20.093310 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:38:20.093374 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:38:20.093400 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:38:20.093422 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:38:20.093446 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:38:20.093473 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.43677 (* 0.0272727 = 0.09373 loss) | |
| I0321 19:38:20.093502 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.18581 (* 0.0272727 = 0.114158 loss) | |
| I0321 19:38:20.093529 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.46221 (* 0.0272727 = 0.094424 loss) | |
| I0321 19:38:20.093556 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.91225 (* 0.0272727 = 0.106698 loss) | |
| I0321 19:38:20.093585 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.78072 (* 0.0272727 = 0.103111 loss) | |
| I0321 19:38:20.093611 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.10402 (* 0.0272727 = 0.0846551 loss) | |
| I0321 19:38:20.093637 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.68597 (* 0.0272727 = 0.045981 loss) | |
| I0321 19:38:20.093664 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.590542 (* 0.0272727 = 0.0161057 loss) | |
| I0321 19:38:20.093693 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.037998 (* 0.0272727 = 0.00103631 loss) | |
| I0321 19:38:20.093724 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0104233 (* 0.0272727 = 0.000284272 loss) | |
| I0321 19:38:20.093754 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00299531 (* 0.0272727 = 8.16902e-05 loss) | |
| I0321 19:38:20.093781 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00277221 (* 0.0272727 = 7.56056e-05 loss) | |
| I0321 19:38:20.093808 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00208861 (* 0.0272727 = 5.69622e-05 loss) | |
| I0321 19:38:20.093837 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00234775 (* 0.0272727 = 6.40295e-05 loss) | |
| I0321 19:38:20.093863 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00226972 (* 0.0272727 = 6.19015e-05 loss) | |
| I0321 19:38:20.093890 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00264179 (* 0.0272727 = 7.20488e-05 loss) | |
| I0321 19:38:20.093919 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00206472 (* 0.0272727 = 5.63107e-05 loss) | |
| I0321 19:38:20.093945 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.0022247 (* 0.0272727 = 6.06737e-05 loss) | |
| I0321 19:38:20.093972 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00277005 (* 0.0272727 = 7.55468e-05 loss) | |
| I0321 19:38:20.093999 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00178479 (* 0.0272727 = 4.8676e-05 loss) | |
| I0321 19:38:20.094027 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00206973 (* 0.0272727 = 5.64473e-05 loss) | |
| I0321 19:38:20.094053 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00213229 (* 0.0272727 = 5.81534e-05 loss) | |
| I0321 19:38:20.094077 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:38:20.094099 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:38:20.094122 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:38:20.094144 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:38:20.094166 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:38:20.094187 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:38:20.094215 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:38:20.094238 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:38:20.094261 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:38:20.094283 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:38:20.094322 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:38:20.094349 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:38:20.094367 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:38:20.094393 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:38:20.094415 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:38:20.094439 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:38:20.094460 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:38:20.094482 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:38:20.094506 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:38:20.094527 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:38:20.094549 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:38:20.094571 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:38:20.094599 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.47628 (* 0.0272727 = 0.0948076 loss) | |
| I0321 19:38:20.094625 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.97487 (* 0.0272727 = 0.108405 loss) | |
| I0321 19:38:20.094652 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.9154 (* 0.0272727 = 0.106784 loss) | |
| I0321 19:38:20.094679 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.39933 (* 0.0272727 = 0.0927089 loss) | |
| I0321 19:38:20.094705 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.43638 (* 0.0272727 = 0.0937196 loss) | |
| I0321 19:38:20.094732 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.31242 (* 0.0272727 = 0.0903387 loss) | |
| I0321 19:38:20.094760 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.79194 (* 0.0272727 = 0.0488712 loss) | |
| I0321 19:38:20.094792 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.601106 (* 0.0272727 = 0.0163938 loss) | |
| I0321 19:38:20.094820 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0361905 (* 0.0272727 = 0.000987013 loss) | |
| I0321 19:38:20.094848 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.014789 (* 0.0272727 = 0.000403336 loss) | |
| I0321 19:38:20.094874 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00391765 (* 0.0272727 = 0.000106845 loss) | |
| I0321 19:38:20.094900 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00234657 (* 0.0272727 = 6.39973e-05 loss) | |
| I0321 19:38:20.094928 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00319006 (* 0.0272727 = 8.70016e-05 loss) | |
| I0321 19:38:20.094954 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00306237 (* 0.0272727 = 8.35192e-05 loss) | |
| I0321 19:38:20.094980 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00271641 (* 0.0272727 = 7.4084e-05 loss) | |
| I0321 19:38:20.095008 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.0036803 (* 0.0272727 = 0.000100372 loss) | |
| I0321 19:38:20.095036 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00199804 (* 0.0272727 = 5.4492e-05 loss) | |
| I0321 19:38:20.095062 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00302085 (* 0.0272727 = 8.23869e-05 loss) | |
| I0321 19:38:20.095089 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00259813 (* 0.0272727 = 7.0858e-05 loss) | |
| I0321 19:38:20.095116 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00710007 (* 0.0272727 = 0.000193638 loss) | |
| I0321 19:38:20.095142 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00278878 (* 0.0272727 = 7.60576e-05 loss) | |
| I0321 19:38:20.095168 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00335645 (* 0.0272727 = 9.15396e-05 loss) | |
| I0321 19:38:20.095191 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:38:20.095212 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:38:20.095255 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:38:20.095280 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:38:20.095301 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:38:20.095324 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:38:20.095347 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:38:20.095368 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:38:20.095391 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:38:20.095413 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:38:20.095435 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:38:20.095456 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:38:20.095476 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:38:20.095499 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:38:20.095521 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:38:20.095542 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:38:20.095563 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:38:20.095585 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:38:20.095607 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:38:20.095628 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:38:20.095649 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:38:20.095670 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:38:20.095698 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.40248 (* 0.0909091 = 0.309317 loss) | |
| I0321 19:38:20.095724 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.86131 (* 0.0909091 = 0.351028 loss) | |
| I0321 19:38:20.095752 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.43895 (* 0.0909091 = 0.312632 loss) | |
| I0321 19:38:20.095779 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.46677 (* 0.0909091 = 0.315161 loss) | |
| I0321 19:38:20.095806 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.49568 (* 0.0909091 = 0.317789 loss) | |
| I0321 19:38:20.095835 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.8281 (* 0.0909091 = 0.2571 loss) | |
| I0321 19:38:20.095863 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.66799 (* 0.0909091 = 0.151635 loss) | |
| I0321 19:38:20.095890 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.590074 (* 0.0909091 = 0.0536431 loss) | |
| I0321 19:38:20.095916 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0443668 (* 0.0909091 = 0.00403334 loss) | |
| I0321 19:38:20.095942 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0152782 (* 0.0909091 = 0.00138893 loss) | |
| I0321 19:38:20.095969 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000239863 (* 0.0909091 = 2.18058e-05 loss) | |
| I0321 19:38:20.095995 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000216367 (* 0.0909091 = 1.96697e-05 loss) | |
| I0321 19:38:20.096024 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000255667 (* 0.0909091 = 2.32425e-05 loss) | |
| I0321 19:38:20.096074 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000265463 (* 0.0909091 = 2.4133e-05 loss) | |
| I0321 19:38:20.096106 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000292552 (* 0.0909091 = 2.65956e-05 loss) | |
| I0321 19:38:20.096134 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000194126 (* 0.0909091 = 1.76478e-05 loss) | |
| I0321 19:38:20.096163 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000204168 (* 0.0909091 = 1.85607e-05 loss) | |
| I0321 19:38:20.096189 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000231214 (* 0.0909091 = 2.10194e-05 loss) | |
| I0321 19:38:20.096238 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000308432 (* 0.0909091 = 2.80393e-05 loss) | |
| I0321 19:38:20.096266 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000286857 (* 0.0909091 = 2.60779e-05 loss) | |
| I0321 19:38:20.096294 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000288442 (* 0.0909091 = 2.6222e-05 loss) | |
| I0321 19:38:20.096326 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000285885 (* 0.0909091 = 2.59896e-05 loss) | |
| I0321 19:38:20.096350 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:38:20.096371 2639 solver.cpp:245] Train net output #133: total_confidence = 3.65169e-05 | |
| I0321 19:38:20.096395 2639 sgd_solver.cpp:106] Iteration 700, lr = 0.01 | |
| I0321 19:38:41.933003 2639 solver.cpp:229] Iteration 800, loss = 3.20914 | |
| I0321 19:38:41.933130 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:38:41.933150 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:38:41.933162 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:38:41.933176 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:38:41.933187 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:38:41.933199 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.75 | |
| I0321 19:38:41.933212 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:38:41.933223 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:38:41.933235 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:38:41.933248 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:38:41.933259 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:38:41.933271 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:38:41.933284 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:38:41.933295 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:38:41.933306 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:38:41.933318 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:38:41.933329 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:38:41.933341 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:38:41.933353 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:38:41.933365 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:38:41.933377 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:38:41.933388 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:38:41.933405 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.93362 (* 0.0272727 = 0.0800078 loss) | |
| I0321 19:38:41.933420 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.21831 (* 0.0272727 = 0.0877722 loss) | |
| I0321 19:38:41.933434 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.55134 (* 0.0272727 = 0.0968548 loss) | |
| I0321 19:38:41.933449 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.22734 (* 0.0272727 = 0.0880184 loss) | |
| I0321 19:38:41.933464 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.87949 (* 0.0272727 = 0.0785316 loss) | |
| I0321 19:38:41.933478 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.55791 (* 0.0272727 = 0.0424884 loss) | |
| I0321 19:38:41.933492 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.784521 (* 0.0272727 = 0.021396 loss) | |
| I0321 19:38:41.933507 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.042794 (* 0.0272727 = 0.00116711 loss) | |
| I0321 19:38:41.933522 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.014147 (* 0.0272727 = 0.000385826 loss) | |
| I0321 19:38:41.933537 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00785669 (* 0.0272727 = 0.000214273 loss) | |
| I0321 19:38:41.933552 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00167729 (* 0.0272727 = 4.57443e-05 loss) | |
| I0321 19:38:41.933567 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00147293 (* 0.0272727 = 4.01708e-05 loss) | |
| I0321 19:38:41.933581 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00174681 (* 0.0272727 = 4.76403e-05 loss) | |
| I0321 19:38:41.933596 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00191462 (* 0.0272727 = 5.2217e-05 loss) | |
| I0321 19:38:41.933610 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00175145 (* 0.0272727 = 4.77669e-05 loss) | |
| I0321 19:38:41.933625 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00147945 (* 0.0272727 = 4.03486e-05 loss) | |
| I0321 19:38:41.933640 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00182911 (* 0.0272727 = 4.98848e-05 loss) | |
| I0321 19:38:41.933673 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.0018285 (* 0.0272727 = 4.98681e-05 loss) | |
| I0321 19:38:41.933689 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00181303 (* 0.0272727 = 4.94463e-05 loss) | |
| I0321 19:38:41.933704 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00159403 (* 0.0272727 = 4.34735e-05 loss) | |
| I0321 19:38:41.933719 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00163343 (* 0.0272727 = 4.45482e-05 loss) | |
| I0321 19:38:41.933733 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.001914 (* 0.0272727 = 5.22001e-05 loss) | |
| I0321 19:38:41.933747 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:38:41.933758 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:38:41.933771 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:38:41.933782 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:38:41.933794 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:38:41.933806 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.75 | |
| I0321 19:38:41.933818 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:38:41.933830 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:38:41.933842 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:38:41.933853 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:38:41.933866 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:38:41.933876 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:38:41.933888 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:38:41.933899 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:38:41.933912 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:38:41.933923 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:38:41.933934 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:38:41.933945 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:38:41.933957 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:38:41.933969 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:38:41.933979 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:38:41.933991 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:38:41.934005 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.19856 (* 0.0272727 = 0.0872335 loss) | |
| I0321 19:38:41.934020 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.51982 (* 0.0272727 = 0.0959951 loss) | |
| I0321 19:38:41.934033 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.30686 (* 0.0272727 = 0.0901871 loss) | |
| I0321 19:38:41.934047 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.20581 (* 0.0272727 = 0.0874313 loss) | |
| I0321 19:38:41.934062 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.94031 (* 0.0272727 = 0.0801903 loss) | |
| I0321 19:38:41.934077 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.48466 (* 0.0272727 = 0.0404907 loss) | |
| I0321 19:38:41.934090 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.612907 (* 0.0272727 = 0.0167156 loss) | |
| I0321 19:38:41.934105 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0432796 (* 0.0272727 = 0.00118035 loss) | |
| I0321 19:38:41.934119 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0112081 (* 0.0272727 = 0.000305675 loss) | |
| I0321 19:38:41.934134 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00755959 (* 0.0272727 = 0.000206171 loss) | |
| I0321 19:38:41.934151 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00190812 (* 0.0272727 = 5.20398e-05 loss) | |
| I0321 19:38:41.934177 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00195242 (* 0.0272727 = 5.32477e-05 loss) | |
| I0321 19:38:41.934193 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00191316 (* 0.0272727 = 5.21771e-05 loss) | |
| I0321 19:38:41.934208 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00148874 (* 0.0272727 = 4.0602e-05 loss) | |
| I0321 19:38:41.934223 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00176725 (* 0.0272727 = 4.81978e-05 loss) | |
| I0321 19:38:41.934237 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00186166 (* 0.0272727 = 5.07726e-05 loss) | |
| I0321 19:38:41.934252 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00190889 (* 0.0272727 = 5.20607e-05 loss) | |
| I0321 19:38:41.934267 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00151043 (* 0.0272727 = 4.11935e-05 loss) | |
| I0321 19:38:41.934281 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.0015427 (* 0.0272727 = 4.20736e-05 loss) | |
| I0321 19:38:41.934296 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00138834 (* 0.0272727 = 3.78638e-05 loss) | |
| I0321 19:38:41.934311 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00168095 (* 0.0272727 = 4.58441e-05 loss) | |
| I0321 19:38:41.934325 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00160216 (* 0.0272727 = 4.36953e-05 loss) | |
| I0321 19:38:41.934339 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:38:41.934350 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:38:41.934362 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:38:41.934373 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:38:41.934386 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:38:41.934397 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.75 | |
| I0321 19:38:41.934409 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:38:41.934422 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:38:41.934433 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:38:41.934444 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:38:41.934456 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:38:41.934468 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:38:41.934479 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:38:41.934491 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:38:41.934502 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:38:41.934514 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:38:41.934525 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:38:41.934537 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:38:41.934548 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:38:41.934561 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:38:41.934571 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:38:41.934583 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:38:41.934597 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.92222 (* 0.0909091 = 0.265657 loss) | |
| I0321 19:38:41.934610 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.1678 (* 0.0909091 = 0.287982 loss) | |
| I0321 19:38:41.934625 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.24416 (* 0.0909091 = 0.294924 loss) | |
| I0321 19:38:41.934639 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.30577 (* 0.0909091 = 0.300524 loss) | |
| I0321 19:38:41.934654 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.00137 (* 0.0909091 = 0.272852 loss) | |
| I0321 19:38:41.934669 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.74421 (* 0.0909091 = 0.158564 loss) | |
| I0321 19:38:41.934692 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.63817 (* 0.0909091 = 0.0580155 loss) | |
| I0321 19:38:41.934707 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0553223 (* 0.0909091 = 0.0050293 loss) | |
| I0321 19:38:41.934725 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0114215 (* 0.0909091 = 0.00103832 loss) | |
| I0321 19:38:41.934741 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0085526 (* 0.0909091 = 0.000777509 loss) | |
| I0321 19:38:41.934756 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000163128 (* 0.0909091 = 1.48298e-05 loss) | |
| I0321 19:38:41.934770 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000133054 (* 0.0909091 = 1.20958e-05 loss) | |
| I0321 19:38:41.934784 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000177132 (* 0.0909091 = 1.61029e-05 loss) | |
| I0321 19:38:41.934799 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000200008 (* 0.0909091 = 1.81825e-05 loss) | |
| I0321 19:38:41.934813 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000129712 (* 0.0909091 = 1.1792e-05 loss) | |
| I0321 19:38:41.934828 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000159367 (* 0.0909091 = 1.44879e-05 loss) | |
| I0321 19:38:41.934842 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000153432 (* 0.0909091 = 1.39484e-05 loss) | |
| I0321 19:38:41.934856 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000199398 (* 0.0909091 = 1.81271e-05 loss) | |
| I0321 19:38:41.934871 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000160445 (* 0.0909091 = 1.45859e-05 loss) | |
| I0321 19:38:41.934886 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000190415 (* 0.0909091 = 1.73105e-05 loss) | |
| I0321 19:38:41.934901 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000185024 (* 0.0909091 = 1.68204e-05 loss) | |
| I0321 19:38:41.934916 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000173472 (* 0.0909091 = 1.57702e-05 loss) | |
| I0321 19:38:41.934928 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:38:41.934940 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00118938 | |
| I0321 19:38:41.934952 2639 sgd_solver.cpp:106] Iteration 800, lr = 0.01 | |
| I0321 19:39:03.929625 2639 solver.cpp:229] Iteration 900, loss = 3.22591 | |
| I0321 19:39:03.929680 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:39:03.929713 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:39:03.929738 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:39:03.929762 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:39:03.929785 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:39:03.929808 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:39:03.929833 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:39:03.929859 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:39:03.929883 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:39:03.929906 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:39:03.929929 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:39:03.929951 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:39:03.929973 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:39:03.930001 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:39:03.930023 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:39:03.930045 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:39:03.930068 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:39:03.930088 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:39:03.930143 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:39:03.930168 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:39:03.930191 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:39:03.930212 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:39:03.930240 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.73414 (* 0.0272727 = 0.10184 loss) | |
| I0321 19:39:03.930269 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.97725 (* 0.0272727 = 0.10847 loss) | |
| I0321 19:39:03.930300 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.60208 (* 0.0272727 = 0.0982385 loss) | |
| I0321 19:39:03.930332 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.16487 (* 0.0272727 = 0.113587 loss) | |
| I0321 19:39:03.930361 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.30244 (* 0.0272727 = 0.0900665 loss) | |
| I0321 19:39:03.930389 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.14522 (* 0.0272727 = 0.0857787 loss) | |
| I0321 19:39:03.930415 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.6242 (* 0.0272727 = 0.0442963 loss) | |
| I0321 19:39:03.930443 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.74093 (* 0.0272727 = 0.04748 loss) | |
| I0321 19:39:03.930469 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.026187 (* 0.0272727 = 0.00071419 loss) | |
| I0321 19:39:03.930497 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0142222 (* 0.0272727 = 0.000387877 loss) | |
| I0321 19:39:03.930526 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00205826 (* 0.0272727 = 5.61343e-05 loss) | |
| I0321 19:39:03.930552 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00289525 (* 0.0272727 = 7.89613e-05 loss) | |
| I0321 19:39:03.930579 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00160082 (* 0.0272727 = 4.36587e-05 loss) | |
| I0321 19:39:03.930608 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00264923 (* 0.0272727 = 7.22518e-05 loss) | |
| I0321 19:39:03.930634 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00237003 (* 0.0272727 = 6.46372e-05 loss) | |
| I0321 19:39:03.930661 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00229073 (* 0.0272727 = 6.24743e-05 loss) | |
| I0321 19:39:03.930690 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00201434 (* 0.0272727 = 5.49367e-05 loss) | |
| I0321 19:39:03.930716 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00215607 (* 0.0272727 = 5.8802e-05 loss) | |
| I0321 19:39:03.930747 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00212725 (* 0.0272727 = 5.8016e-05 loss) | |
| I0321 19:39:03.930775 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00207195 (* 0.0272727 = 5.65078e-05 loss) | |
| I0321 19:39:03.930804 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00225706 (* 0.0272727 = 6.15561e-05 loss) | |
| I0321 19:39:03.930830 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00216735 (* 0.0272727 = 5.91095e-05 loss) | |
| I0321 19:39:03.930852 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:39:03.930876 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:39:03.930896 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:39:03.930918 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:39:03.930941 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:39:03.930963 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:39:03.930986 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:39:03.931010 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:39:03.931032 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:39:03.931058 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:39:03.931099 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:39:03.931124 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:39:03.931146 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:39:03.931167 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:39:03.931190 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:39:03.931211 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:39:03.931232 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:39:03.931254 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:39:03.931275 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:39:03.931296 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:39:03.931319 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:39:03.931341 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:39:03.931368 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.71084 (* 0.0272727 = 0.101205 loss) | |
| I0321 19:39:03.931396 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.3982 (* 0.0272727 = 0.119951 loss) | |
| I0321 19:39:03.931423 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.74064 (* 0.0272727 = 0.102017 loss) | |
| I0321 19:39:03.931449 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.90926 (* 0.0272727 = 0.106616 loss) | |
| I0321 19:39:03.931476 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.10708 (* 0.0272727 = 0.0847386 loss) | |
| I0321 19:39:03.931502 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.76796 (* 0.0272727 = 0.07549 loss) | |
| I0321 19:39:03.931529 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.6488 (* 0.0272727 = 0.0449672 loss) | |
| I0321 19:39:03.931556 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.84577 (* 0.0272727 = 0.0503393 loss) | |
| I0321 19:39:03.931583 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0304946 (* 0.0272727 = 0.000831671 loss) | |
| I0321 19:39:03.931614 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0104322 (* 0.0272727 = 0.000284514 loss) | |
| I0321 19:39:03.931638 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00268385 (* 0.0272727 = 7.3196e-05 loss) | |
| I0321 19:39:03.931668 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00236347 (* 0.0272727 = 6.44583e-05 loss) | |
| I0321 19:39:03.931697 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00234596 (* 0.0272727 = 6.39806e-05 loss) | |
| I0321 19:39:03.931725 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00282508 (* 0.0272727 = 7.70476e-05 loss) | |
| I0321 19:39:03.931751 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00245317 (* 0.0272727 = 6.69046e-05 loss) | |
| I0321 19:39:03.931778 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00327994 (* 0.0272727 = 8.9453e-05 loss) | |
| I0321 19:39:03.931810 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00300557 (* 0.0272727 = 8.19702e-05 loss) | |
| I0321 19:39:03.931838 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00266875 (* 0.0272727 = 7.27841e-05 loss) | |
| I0321 19:39:03.931864 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00229683 (* 0.0272727 = 6.26407e-05 loss) | |
| I0321 19:39:03.931891 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00292905 (* 0.0272727 = 7.98832e-05 loss) | |
| I0321 19:39:03.931920 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00274429 (* 0.0272727 = 7.48443e-05 loss) | |
| I0321 19:39:03.931946 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00295418 (* 0.0272727 = 8.05686e-05 loss) | |
| I0321 19:39:03.931970 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:39:03.931993 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:39:03.932030 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:39:03.932082 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:39:03.932109 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:39:03.932132 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:39:03.932154 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:39:03.932176 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:39:03.932199 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:39:03.932221 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:39:03.932243 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:39:03.932265 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:39:03.932286 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:39:03.932307 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:39:03.932329 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:39:03.932349 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:39:03.932370 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:39:03.932392 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:39:03.932415 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:39:03.932435 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:39:03.932457 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:39:03.932479 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:39:03.932512 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.65801 (* 0.0909091 = 0.332546 loss) | |
| I0321 19:39:03.932538 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.92267 (* 0.0909091 = 0.356607 loss) | |
| I0321 19:39:03.932564 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.54208 (* 0.0909091 = 0.322007 loss) | |
| I0321 19:39:03.932590 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.90675 (* 0.0909091 = 0.355159 loss) | |
| I0321 19:39:03.932616 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.28268 (* 0.0909091 = 0.298426 loss) | |
| I0321 19:39:03.932642 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.74701 (* 0.0909091 = 0.249728 loss) | |
| I0321 19:39:03.932670 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.56095 (* 0.0909091 = 0.141905 loss) | |
| I0321 19:39:03.932696 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.87256 (* 0.0909091 = 0.170233 loss) | |
| I0321 19:39:03.932723 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0281239 (* 0.0909091 = 0.00255672 loss) | |
| I0321 19:39:03.932750 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00665281 (* 0.0909091 = 0.000604801 loss) | |
| I0321 19:39:03.932777 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000158974 (* 0.0909091 = 1.44522e-05 loss) | |
| I0321 19:39:03.932806 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000176564 (* 0.0909091 = 1.60513e-05 loss) | |
| I0321 19:39:03.932833 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000250398 (* 0.0909091 = 2.27635e-05 loss) | |
| I0321 19:39:03.932867 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000216019 (* 0.0909091 = 1.96381e-05 loss) | |
| I0321 19:39:03.932893 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000242639 (* 0.0909091 = 2.20581e-05 loss) | |
| I0321 19:39:03.932919 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000180479 (* 0.0909091 = 1.64072e-05 loss) | |
| I0321 19:39:03.932945 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000164642 (* 0.0909091 = 1.49675e-05 loss) | |
| I0321 19:39:03.932972 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000200852 (* 0.0909091 = 1.82593e-05 loss) | |
| I0321 19:39:03.933018 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000242594 (* 0.0909091 = 2.2054e-05 loss) | |
| I0321 19:39:03.933046 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000228864 (* 0.0909091 = 2.08058e-05 loss) | |
| I0321 19:39:03.933073 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000224134 (* 0.0909091 = 2.03758e-05 loss) | |
| I0321 19:39:03.933104 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00025257 (* 0.0909091 = 2.29609e-05 loss) | |
| I0321 19:39:03.933128 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:39:03.933150 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00215217 | |
| I0321 19:39:03.933171 2639 sgd_solver.cpp:106] Iteration 900, lr = 0.01 | |
| I0321 19:39:25.673743 2639 solver.cpp:338] Iteration 1000, Testing net (#0) | |
| I0321 19:39:58.994304 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.052 | |
| I0321 19:39:58.994427 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.034 | |
| I0321 19:39:58.994446 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.038 | |
| I0321 19:39:58.994458 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.073 | |
| I0321 19:39:58.994470 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.2 | |
| I0321 19:39:58.994483 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.506 | |
| I0321 19:39:58.994495 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.807 | |
| I0321 19:39:58.994508 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.926 | |
| I0321 19:39:58.994519 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.965 | |
| I0321 19:39:58.994530 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.985 | |
| I0321 19:39:58.994542 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 1 | |
| I0321 19:39:58.994554 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 1 | |
| I0321 19:39:58.994566 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 1 | |
| I0321 19:39:58.994578 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 1 | |
| I0321 19:39:58.994590 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 1 | |
| I0321 19:39:58.994601 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 1 | |
| I0321 19:39:58.994613 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 1 | |
| I0321 19:39:58.994626 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 1 | |
| I0321 19:39:58.994637 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 1 | |
| I0321 19:39:58.994648 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 1 | |
| I0321 19:39:58.994663 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 1 | |
| I0321 19:39:58.994674 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 1 | |
| I0321 19:39:58.994691 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 3.94209 (* 0.0272727 = 0.107512 loss) | |
| I0321 19:39:58.994714 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 3.98629 (* 0.0272727 = 0.108717 loss) | |
| I0321 19:39:58.994729 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 4.01405 (* 0.0272727 = 0.109474 loss) | |
| I0321 19:39:58.994743 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 3.95802 (* 0.0272727 = 0.107946 loss) | |
| I0321 19:39:58.994757 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 3.64249 (* 0.0272727 = 0.0993406 loss) | |
| I0321 19:39:58.994772 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 2.58913 (* 0.0272727 = 0.0706127 loss) | |
| I0321 19:39:58.994786 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 1.25801 (* 0.0272727 = 0.0343094 loss) | |
| I0321 19:39:58.994801 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 0.564424 (* 0.0272727 = 0.0153934 loss) | |
| I0321 19:39:58.994815 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 0.309063 (* 0.0272727 = 0.00842898 loss) | |
| I0321 19:39:58.994829 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 0.145526 (* 0.0272727 = 0.00396889 loss) | |
| I0321 19:39:58.994844 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 0.0126414 (* 0.0272727 = 0.000344767 loss) | |
| I0321 19:39:58.994858 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 0.00767913 (* 0.0272727 = 0.000209431 loss) | |
| I0321 19:39:58.994874 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 0.00725844 (* 0.0272727 = 0.000197958 loss) | |
| I0321 19:39:58.994887 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 0.00629468 (* 0.0272727 = 0.000171673 loss) | |
| I0321 19:39:58.994902 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 0.00505832 (* 0.0272727 = 0.000137954 loss) | |
| I0321 19:39:58.994916 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 0.00565515 (* 0.0272727 = 0.000154231 loss) | |
| I0321 19:39:58.994930 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 0.0067185 (* 0.0272727 = 0.000183232 loss) | |
| I0321 19:39:58.994946 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 0.00418799 (* 0.0272727 = 0.000114218 loss) | |
| I0321 19:39:58.994977 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 0.00641808 (* 0.0272727 = 0.000175038 loss) | |
| I0321 19:39:58.994992 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 0.0101352 (* 0.0272727 = 0.000276415 loss) | |
| I0321 19:39:58.995007 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 0.00992232 (* 0.0272727 = 0.000270609 loss) | |
| I0321 19:39:58.995021 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 0.00595767 (* 0.0272727 = 0.000162482 loss) | |
| I0321 19:39:58.995034 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.052 | |
| I0321 19:39:58.995056 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.032 | |
| I0321 19:39:58.995069 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.042 | |
| I0321 19:39:58.995080 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.046 | |
| I0321 19:39:58.995092 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.138 | |
| I0321 19:39:58.995103 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.503 | |
| I0321 19:39:58.995115 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.807 | |
| I0321 19:39:58.995126 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.926 | |
| I0321 19:39:58.995138 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.965 | |
| I0321 19:39:58.995149 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.985 | |
| I0321 19:39:58.995162 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 1 | |
| I0321 19:39:58.995172 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 1 | |
| I0321 19:39:58.995183 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 1 | |
| I0321 19:39:58.995195 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 1 | |
| I0321 19:39:58.995206 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 1 | |
| I0321 19:39:58.995218 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 1 | |
| I0321 19:39:58.995229 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 1 | |
| I0321 19:39:58.995240 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 1 | |
| I0321 19:39:58.995251 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 1 | |
| I0321 19:39:58.995263 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 1 | |
| I0321 19:39:58.995271 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 1 | |
| I0321 19:39:58.995278 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 1 | |
| I0321 19:39:58.995292 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 3.97408 (* 0.0272727 = 0.108384 loss) | |
| I0321 19:39:58.995307 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 4.12548 (* 0.0272727 = 0.112513 loss) | |
| I0321 19:39:58.995321 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 4.07895 (* 0.0272727 = 0.111244 loss) | |
| I0321 19:39:58.995335 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 4.03992 (* 0.0272727 = 0.11018 loss) | |
| I0321 19:39:58.995349 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 3.79334 (* 0.0272727 = 0.103455 loss) | |
| I0321 19:39:58.995369 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 2.71392 (* 0.0272727 = 0.074016 loss) | |
| I0321 19:39:58.995383 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 1.38717 (* 0.0272727 = 0.0378319 loss) | |
| I0321 19:39:58.995398 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 0.599064 (* 0.0272727 = 0.0163381 loss) | |
| I0321 19:39:58.995411 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 0.324158 (* 0.0272727 = 0.00884069 loss) | |
| I0321 19:39:58.995425 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 0.157774 (* 0.0272727 = 0.00430293 loss) | |
| I0321 19:39:58.995440 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 0.00940252 (* 0.0272727 = 0.000256432 loss) | |
| I0321 19:39:58.995456 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 0.00930784 (* 0.0272727 = 0.00025385 loss) | |
| I0321 19:39:58.995471 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 0.0068851 (* 0.0272727 = 0.000187776 loss) | |
| I0321 19:39:58.995496 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 0.00895268 (* 0.0272727 = 0.000244164 loss) | |
| I0321 19:39:58.995512 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 0.00655735 (* 0.0272727 = 0.000178837 loss) | |
| I0321 19:39:58.995527 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 0.0112924 (* 0.0272727 = 0.000307975 loss) | |
| I0321 19:39:58.995540 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 0.00600191 (* 0.0272727 = 0.000163689 loss) | |
| I0321 19:39:58.995554 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 0.00947261 (* 0.0272727 = 0.000258344 loss) | |
| I0321 19:39:58.995568 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 0.00789871 (* 0.0272727 = 0.000215419 loss) | |
| I0321 19:39:58.995582 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 0.00728192 (* 0.0272727 = 0.000198598 loss) | |
| I0321 19:39:58.995596 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 0.0103155 (* 0.0272727 = 0.000281332 loss) | |
| I0321 19:39:58.995611 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 0.00875576 (* 0.0272727 = 0.000238794 loss) | |
| I0321 19:39:58.995623 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0.053 | |
| I0321 19:39:58.995635 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.029 | |
| I0321 19:39:58.995647 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.035 | |
| I0321 19:39:58.995658 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.053 | |
| I0321 19:39:58.995669 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.107 | |
| I0321 19:39:58.995682 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.496 | |
| I0321 19:39:58.995692 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.807 | |
| I0321 19:39:58.995704 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.926 | |
| I0321 19:39:58.995718 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.965 | |
| I0321 19:39:58.995730 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.985 | |
| I0321 19:39:58.995741 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:39:58.995754 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:39:58.995764 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:39:58.995774 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:39:58.995786 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:39:58.995796 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:39:58.995808 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:39:58.995820 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:39:58.995831 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:39:58.995841 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:39:58.995852 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:39:58.995863 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:39:58.995877 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 3.97609 (* 0.0909091 = 0.361463 loss) | |
| I0321 19:39:58.995890 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 4.17602 (* 0.0909091 = 0.379638 loss) | |
| I0321 19:39:58.995904 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 4.07678 (* 0.0909091 = 0.370616 loss) | |
| I0321 19:39:58.995918 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 3.99727 (* 0.0909091 = 0.363388 loss) | |
| I0321 19:39:58.995932 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 3.82807 (* 0.0909091 = 0.348006 loss) | |
| I0321 19:39:58.995945 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 2.77618 (* 0.0909091 = 0.25238 loss) | |
| I0321 19:39:58.995959 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 1.20625 (* 0.0909091 = 0.109659 loss) | |
| I0321 19:39:58.995983 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 0.535786 (* 0.0909091 = 0.0487078 loss) | |
| I0321 19:39:58.995998 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 0.28428 (* 0.0909091 = 0.0258436 loss) | |
| I0321 19:39:58.996012 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 0.137816 (* 0.0909091 = 0.0125287 loss) | |
| I0321 19:39:58.996026 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 0.000337787 (* 0.0909091 = 3.07079e-05 loss) | |
| I0321 19:39:58.996042 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 0.00063676 (* 0.0909091 = 5.78872e-05 loss) | |
| I0321 19:39:58.996076 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 0.000420272 (* 0.0909091 = 3.82065e-05 loss) | |
| I0321 19:39:58.996093 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 0.000411201 (* 0.0909091 = 3.73819e-05 loss) | |
| I0321 19:39:58.996107 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 0.000363166 (* 0.0909091 = 3.30151e-05 loss) | |
| I0321 19:39:58.996121 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 0.0002895 (* 0.0909091 = 2.63182e-05 loss) | |
| I0321 19:39:58.996135 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 0.000316236 (* 0.0909091 = 2.87487e-05 loss) | |
| I0321 19:39:58.996150 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 0.000559755 (* 0.0909091 = 5.08868e-05 loss) | |
| I0321 19:39:58.996165 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 0.000445568 (* 0.0909091 = 4.05062e-05 loss) | |
| I0321 19:39:58.996178 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 0.000286969 (* 0.0909091 = 2.60881e-05 loss) | |
| I0321 19:39:58.996191 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 0.000439279 (* 0.0909091 = 3.99345e-05 loss) | |
| I0321 19:39:58.996206 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 0.000516063 (* 0.0909091 = 4.69148e-05 loss) | |
| I0321 19:39:58.996218 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:39:58.996229 2639 solver.cpp:406] Test net output #133: total_confidence = 6.03716e-05 | |
| I0321 19:39:59.107554 2639 solver.cpp:229] Iteration 1000, loss = 3.34177 | |
| I0321 19:39:59.107594 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:39:59.107609 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:39:59.107622 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:39:59.107635 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:39:59.107647 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:39:59.107659 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:39:59.107676 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:39:59.107688 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:39:59.107700 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:39:59.107712 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.75 | |
| I0321 19:39:59.107724 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:39:59.107736 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:39:59.107748 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:39:59.107761 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:39:59.107772 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:39:59.107784 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:39:59.107795 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:39:59.107807 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:39:59.107820 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:39:59.107831 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:39:59.107842 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:39:59.107872 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:39:59.107888 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.39925 (* 0.0272727 = 0.0927068 loss) | |
| I0321 19:39:59.107903 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.00429 (* 0.0272727 = 0.109208 loss) | |
| I0321 19:39:59.107918 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.53384 (* 0.0272727 = 0.0963774 loss) | |
| I0321 19:39:59.107931 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.63813 (* 0.0272727 = 0.0992218 loss) | |
| I0321 19:39:59.107946 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.38664 (* 0.0272727 = 0.092363 loss) | |
| I0321 19:39:59.107959 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.93993 (* 0.0272727 = 0.0529073 loss) | |
| I0321 19:39:59.107975 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.51937 (* 0.0272727 = 0.0414375 loss) | |
| I0321 19:39:59.107988 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.57374 (* 0.0272727 = 0.0429203 loss) | |
| I0321 19:39:59.108002 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 2.00173 (* 0.0272727 = 0.0545927 loss) | |
| I0321 19:39:59.108016 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 2.19383 (* 0.0272727 = 0.0598316 loss) | |
| I0321 19:39:59.108031 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00314348 (* 0.0272727 = 8.57312e-05 loss) | |
| I0321 19:39:59.108047 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00228808 (* 0.0272727 = 6.24022e-05 loss) | |
| I0321 19:39:59.108077 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00197611 (* 0.0272727 = 5.3894e-05 loss) | |
| I0321 19:39:59.108091 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00226699 (* 0.0272727 = 6.1827e-05 loss) | |
| I0321 19:39:59.108108 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00202623 (* 0.0272727 = 5.52609e-05 loss) | |
| I0321 19:39:59.108122 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00339199 (* 0.0272727 = 9.25089e-05 loss) | |
| I0321 19:39:59.108136 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00273366 (* 0.0272727 = 7.45542e-05 loss) | |
| I0321 19:39:59.108151 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00238942 (* 0.0272727 = 6.51659e-05 loss) | |
| I0321 19:39:59.108166 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00229351 (* 0.0272727 = 6.25504e-05 loss) | |
| I0321 19:39:59.108180 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00308264 (* 0.0272727 = 8.40721e-05 loss) | |
| I0321 19:39:59.108196 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00256985 (* 0.0272727 = 7.00867e-05 loss) | |
| I0321 19:39:59.108209 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00269346 (* 0.0272727 = 7.3458e-05 loss) | |
| I0321 19:39:59.108222 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:39:59.108234 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:39:59.108247 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:39:59.108258 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:39:59.108269 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:39:59.108281 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:39:59.108294 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:39:59.108305 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:39:59.108317 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:39:59.108330 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.75 | |
| I0321 19:39:59.108340 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:39:59.108352 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:39:59.108363 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:39:59.108386 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:39:59.108399 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:39:59.108412 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:39:59.108423 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:39:59.108434 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:39:59.108446 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:39:59.108458 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:39:59.108469 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:39:59.108481 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:39:59.108495 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.88069 (* 0.0272727 = 0.105837 loss) | |
| I0321 19:39:59.108510 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.03634 (* 0.0272727 = 0.110082 loss) | |
| I0321 19:39:59.108525 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.79405 (* 0.0272727 = 0.103474 loss) | |
| I0321 19:39:59.108547 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.59256 (* 0.0272727 = 0.0979788 loss) | |
| I0321 19:39:59.108561 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.25206 (* 0.0272727 = 0.0886924 loss) | |
| I0321 19:39:59.108577 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.17851 (* 0.0272727 = 0.0594138 loss) | |
| I0321 19:39:59.108590 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.49837 (* 0.0272727 = 0.0408648 loss) | |
| I0321 19:39:59.108604 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.76002 (* 0.0272727 = 0.0480006 loss) | |
| I0321 19:39:59.108619 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.71077 (* 0.0272727 = 0.0466573 loss) | |
| I0321 19:39:59.108633 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 2.24039 (* 0.0272727 = 0.0611015 loss) | |
| I0321 19:39:59.108649 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00310243 (* 0.0272727 = 8.46118e-05 loss) | |
| I0321 19:39:59.108662 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00229043 (* 0.0272727 = 6.24663e-05 loss) | |
| I0321 19:39:59.108676 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00395223 (* 0.0272727 = 0.000107788 loss) | |
| I0321 19:39:59.108690 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00358196 (* 0.0272727 = 9.76899e-05 loss) | |
| I0321 19:39:59.108705 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00335439 (* 0.0272727 = 9.14834e-05 loss) | |
| I0321 19:39:59.108722 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00311476 (* 0.0272727 = 8.49481e-05 loss) | |
| I0321 19:39:59.108737 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.0039852 (* 0.0272727 = 0.000108687 loss) | |
| I0321 19:39:59.108752 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00348558 (* 0.0272727 = 9.50614e-05 loss) | |
| I0321 19:39:59.108767 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00274399 (* 0.0272727 = 7.48361e-05 loss) | |
| I0321 19:39:59.108780 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00506578 (* 0.0272727 = 0.000138158 loss) | |
| I0321 19:39:59.108795 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00371901 (* 0.0272727 = 0.000101428 loss) | |
| I0321 19:39:59.108809 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00359734 (* 0.0272727 = 9.81093e-05 loss) | |
| I0321 19:39:59.108821 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:39:59.108834 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:39:59.108845 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:39:59.108856 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:39:59.108868 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:39:59.108889 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:39:59.108903 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:39:59.108916 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:39:59.108927 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:39:59.108938 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.75 | |
| I0321 19:39:59.108950 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:39:59.108961 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:39:59.108973 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:39:59.108983 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:39:59.108995 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:39:59.109006 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:39:59.109017 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:39:59.109030 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:39:59.109040 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:39:59.109051 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:39:59.109063 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:39:59.109074 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:39:59.109088 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.63798 (* 0.0909091 = 0.330726 loss) | |
| I0321 19:39:59.109102 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 4.07664 (* 0.0909091 = 0.370604 loss) | |
| I0321 19:39:59.109117 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.53962 (* 0.0909091 = 0.321784 loss) | |
| I0321 19:39:59.109130 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.66324 (* 0.0909091 = 0.333022 loss) | |
| I0321 19:39:59.109144 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.36182 (* 0.0909091 = 0.30562 loss) | |
| I0321 19:39:59.109158 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.01111 (* 0.0909091 = 0.182828 loss) | |
| I0321 19:39:59.109172 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.42948 (* 0.0909091 = 0.129953 loss) | |
| I0321 19:39:59.109186 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.58884 (* 0.0909091 = 0.14444 loss) | |
| I0321 19:39:59.109200 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 2.01869 (* 0.0909091 = 0.183517 loss) | |
| I0321 19:39:59.109215 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 2.16353 (* 0.0909091 = 0.196685 loss) | |
| I0321 19:39:59.109230 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000623407 (* 0.0909091 = 5.66734e-05 loss) | |
| I0321 19:39:59.109243 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000642157 (* 0.0909091 = 5.83779e-05 loss) | |
| I0321 19:39:59.109257 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000794662 (* 0.0909091 = 7.2242e-05 loss) | |
| I0321 19:39:59.109272 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000835877 (* 0.0909091 = 7.59888e-05 loss) | |
| I0321 19:39:59.109287 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000654504 (* 0.0909091 = 5.95003e-05 loss) | |
| I0321 19:39:59.109302 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00052272 (* 0.0909091 = 4.752e-05 loss) | |
| I0321 19:39:59.109316 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000527955 (* 0.0909091 = 4.79959e-05 loss) | |
| I0321 19:39:59.109331 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000629945 (* 0.0909091 = 5.72677e-05 loss) | |
| I0321 19:39:59.109346 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000744054 (* 0.0909091 = 6.76413e-05 loss) | |
| I0321 19:39:59.109361 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000834788 (* 0.0909091 = 7.58898e-05 loss) | |
| I0321 19:39:59.109385 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000619495 (* 0.0909091 = 5.63177e-05 loss) | |
| I0321 19:39:59.109396 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000766358 (* 0.0909091 = 6.96689e-05 loss) | |
| I0321 19:39:59.109410 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:39:59.109421 2639 solver.cpp:245] Train net output #133: total_confidence = 1.71526e-05 | |
| I0321 19:39:59.109434 2639 sgd_solver.cpp:106] Iteration 1000, lr = 0.01 | |
| I0321 19:40:20.958477 2639 solver.cpp:229] Iteration 1100, loss = 3.23566 | |
| I0321 19:40:20.958539 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:40:20.958566 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:40:20.958590 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:40:20.958617 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:40:20.958642 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:40:20.958663 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:40:20.958688 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:40:20.958710 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:40:20.958737 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:40:20.958760 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:40:20.958782 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:40:20.958806 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:40:20.958832 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:40:20.958855 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:40:20.958878 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:40:20.958901 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:40:20.958922 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:40:20.958945 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:40:20.958967 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:40:20.958989 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:40:20.959012 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:40:20.959033 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:40:20.959063 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.07781 (* 0.0272727 = 0.0839404 loss) | |
| I0321 19:40:20.959089 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.71809 (* 0.0272727 = 0.101403 loss) | |
| I0321 19:40:20.959118 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 2.86991 (* 0.0272727 = 0.0782704 loss) | |
| I0321 19:40:20.959146 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.53388 (* 0.0272727 = 0.0963785 loss) | |
| I0321 19:40:20.959172 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.74474 (* 0.0272727 = 0.102129 loss) | |
| I0321 19:40:20.959200 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.7295 (* 0.0272727 = 0.0744409 loss) | |
| I0321 19:40:20.959226 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.488041 (* 0.0272727 = 0.0133102 loss) | |
| I0321 19:40:20.959254 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.547817 (* 0.0272727 = 0.0149405 loss) | |
| I0321 19:40:20.959281 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0483858 (* 0.0272727 = 0.00131961 loss) | |
| I0321 19:40:20.959308 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0285224 (* 0.0272727 = 0.000777883 loss) | |
| I0321 19:40:20.959336 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00214576 (* 0.0272727 = 5.85208e-05 loss) | |
| I0321 19:40:20.959363 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00231031 (* 0.0272727 = 6.30084e-05 loss) | |
| I0321 19:40:20.959429 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00259188 (* 0.0272727 = 7.06877e-05 loss) | |
| I0321 19:40:20.959458 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00233794 (* 0.0272727 = 6.37619e-05 loss) | |
| I0321 19:40:20.959486 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00244728 (* 0.0272727 = 6.6744e-05 loss) | |
| I0321 19:40:20.959514 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00150194 (* 0.0272727 = 4.0962e-05 loss) | |
| I0321 19:40:20.959542 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00184487 (* 0.0272727 = 5.03146e-05 loss) | |
| I0321 19:40:20.959570 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00202506 (* 0.0272727 = 5.52289e-05 loss) | |
| I0321 19:40:20.959600 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00174706 (* 0.0272727 = 4.7647e-05 loss) | |
| I0321 19:40:20.959631 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00201191 (* 0.0272727 = 5.48702e-05 loss) | |
| I0321 19:40:20.959664 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00153741 (* 0.0272727 = 4.19293e-05 loss) | |
| I0321 19:40:20.959689 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00171816 (* 0.0272727 = 4.6859e-05 loss) | |
| I0321 19:40:20.959713 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:40:20.959736 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:40:20.959759 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:40:20.959786 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:40:20.959810 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:40:20.959831 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:40:20.959853 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:40:20.959875 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:40:20.959898 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:40:20.959921 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:40:20.959942 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:40:20.959964 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:40:20.959986 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:40:20.960007 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:40:20.960028 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:40:20.960067 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:40:20.960094 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:40:20.960117 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:40:20.960139 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:40:20.960162 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:40:20.960183 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:40:20.960204 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:40:20.960232 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.1187 (* 0.0272727 = 0.0850555 loss) | |
| I0321 19:40:20.960259 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.67181 (* 0.0272727 = 0.10014 loss) | |
| I0321 19:40:20.960286 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.07948 (* 0.0272727 = 0.0839859 loss) | |
| I0321 19:40:20.960314 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.40078 (* 0.0272727 = 0.0927486 loss) | |
| I0321 19:40:20.960341 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.39349 (* 0.0272727 = 0.0925498 loss) | |
| I0321 19:40:20.960368 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.70296 (* 0.0272727 = 0.0737171 loss) | |
| I0321 19:40:20.960414 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.496323 (* 0.0272727 = 0.0135361 loss) | |
| I0321 19:40:20.960443 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.624931 (* 0.0272727 = 0.0170436 loss) | |
| I0321 19:40:20.960469 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0670484 (* 0.0272727 = 0.00182859 loss) | |
| I0321 19:40:20.960499 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0338057 (* 0.0272727 = 0.000921975 loss) | |
| I0321 19:40:20.960525 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00148049 (* 0.0272727 = 4.03771e-05 loss) | |
| I0321 19:40:20.960552 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00140645 (* 0.0272727 = 3.83579e-05 loss) | |
| I0321 19:40:20.960580 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00129991 (* 0.0272727 = 3.5452e-05 loss) | |
| I0321 19:40:20.960608 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00171937 (* 0.0272727 = 4.68918e-05 loss) | |
| I0321 19:40:20.960634 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.0012294 (* 0.0272727 = 3.3529e-05 loss) | |
| I0321 19:40:20.960664 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.0014754 (* 0.0272727 = 4.02381e-05 loss) | |
| I0321 19:40:20.960690 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00156763 (* 0.0272727 = 4.27536e-05 loss) | |
| I0321 19:40:20.960721 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00141829 (* 0.0272727 = 3.86806e-05 loss) | |
| I0321 19:40:20.960750 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00121203 (* 0.0272727 = 3.30553e-05 loss) | |
| I0321 19:40:20.960777 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00139474 (* 0.0272727 = 3.80382e-05 loss) | |
| I0321 19:40:20.960804 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00165644 (* 0.0272727 = 4.51756e-05 loss) | |
| I0321 19:40:20.960836 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00138842 (* 0.0272727 = 3.78661e-05 loss) | |
| I0321 19:40:20.960860 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:40:20.960882 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:40:20.960904 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:40:20.960927 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:40:20.960949 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:40:20.960970 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:40:20.960993 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:40:20.961015 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:40:20.961037 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:40:20.961057 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:40:20.961079 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:40:20.961102 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:40:20.961122 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:40:20.961143 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:40:20.961165 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:40:20.961189 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:40:20.961210 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:40:20.961230 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:40:20.961251 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:40:20.961273 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:40:20.961294 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:40:20.961315 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:40:20.961359 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.12701 (* 0.0909091 = 0.284274 loss) | |
| I0321 19:40:20.961386 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.62026 (* 0.0909091 = 0.329115 loss) | |
| I0321 19:40:20.961412 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.24607 (* 0.0909091 = 0.295098 loss) | |
| I0321 19:40:20.961439 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.39088 (* 0.0909091 = 0.308262 loss) | |
| I0321 19:40:20.961467 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.69949 (* 0.0909091 = 0.336317 loss) | |
| I0321 19:40:20.961493 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.72098 (* 0.0909091 = 0.247362 loss) | |
| I0321 19:40:20.961519 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.481734 (* 0.0909091 = 0.043794 loss) | |
| I0321 19:40:20.961546 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.723239 (* 0.0909091 = 0.065749 loss) | |
| I0321 19:40:20.961572 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0271092 (* 0.0909091 = 0.00246447 loss) | |
| I0321 19:40:20.961599 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0142608 (* 0.0909091 = 0.00129644 loss) | |
| I0321 19:40:20.961627 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000139873 (* 0.0909091 = 1.27157e-05 loss) | |
| I0321 19:40:20.961653 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000107403 (* 0.0909091 = 9.76387e-06 loss) | |
| I0321 19:40:20.961680 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00011641 (* 0.0909091 = 1.05828e-05 loss) | |
| I0321 19:40:20.961709 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000140096 (* 0.0909091 = 1.2736e-05 loss) | |
| I0321 19:40:20.961735 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 9.49359e-05 (* 0.0909091 = 8.63054e-06 loss) | |
| I0321 19:40:20.961766 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000122029 (* 0.0909091 = 1.10936e-05 loss) | |
| I0321 19:40:20.961794 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000123552 (* 0.0909091 = 1.1232e-05 loss) | |
| I0321 19:40:20.961820 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000113373 (* 0.0909091 = 1.03066e-05 loss) | |
| I0321 19:40:20.961848 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000104571 (* 0.0909091 = 9.50643e-06 loss) | |
| I0321 19:40:20.961879 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000138666 (* 0.0909091 = 1.2606e-05 loss) | |
| I0321 19:40:20.961907 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000129804 (* 0.0909091 = 1.18003e-05 loss) | |
| I0321 19:40:20.961933 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000128036 (* 0.0909091 = 1.16397e-05 loss) | |
| I0321 19:40:20.961956 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:40:20.961979 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000509201 | |
| I0321 19:40:20.962002 2639 sgd_solver.cpp:106] Iteration 1100, lr = 0.01 | |
| I0321 19:40:42.756302 2639 solver.cpp:229] Iteration 1200, loss = 3.22689 | |
| I0321 19:40:42.756458 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:40:42.756489 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:40:42.756505 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:40:42.756517 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:40:42.756528 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:40:42.756541 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:40:42.756553 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:40:42.756567 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:40:42.756578 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:40:42.756590 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:40:42.756603 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:40:42.756615 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:40:42.756628 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:40:42.756639 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:40:42.756651 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:40:42.756674 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:40:42.756686 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:40:42.756697 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:40:42.756711 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:40:42.756731 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:40:42.756745 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:40:42.756757 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:40:42.756773 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.03991 (* 0.0272727 = 0.0829067 loss) | |
| I0321 19:40:42.756788 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.20291 (* 0.0272727 = 0.0873522 loss) | |
| I0321 19:40:42.756803 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.8781 (* 0.0272727 = 0.105766 loss) | |
| I0321 19:40:42.756817 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.73458 (* 0.0272727 = 0.101852 loss) | |
| I0321 19:40:42.756831 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.55367 (* 0.0272727 = 0.0969182 loss) | |
| I0321 19:40:42.756846 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.1202 (* 0.0272727 = 0.0850964 loss) | |
| I0321 19:40:42.756860 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.901609 (* 0.0272727 = 0.0245893 loss) | |
| I0321 19:40:42.756875 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.393011 (* 0.0272727 = 0.0107185 loss) | |
| I0321 19:40:42.756889 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0385383 (* 0.0272727 = 0.00105105 loss) | |
| I0321 19:40:42.756906 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0157175 (* 0.0272727 = 0.000428658 loss) | |
| I0321 19:40:42.756921 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.003207 (* 0.0272727 = 8.74637e-05 loss) | |
| I0321 19:40:42.756935 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00287602 (* 0.0272727 = 7.8437e-05 loss) | |
| I0321 19:40:42.756959 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00181282 (* 0.0272727 = 4.94406e-05 loss) | |
| I0321 19:40:42.756978 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00307749 (* 0.0272727 = 8.39315e-05 loss) | |
| I0321 19:40:42.757001 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00151921 (* 0.0272727 = 4.1433e-05 loss) | |
| I0321 19:40:42.757017 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00325705 (* 0.0272727 = 8.88285e-05 loss) | |
| I0321 19:40:42.757032 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.0019493 (* 0.0272727 = 5.31629e-05 loss) | |
| I0321 19:40:42.757061 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00254805 (* 0.0272727 = 6.94923e-05 loss) | |
| I0321 19:40:42.757077 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00280129 (* 0.0272727 = 7.63989e-05 loss) | |
| I0321 19:40:42.757092 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00382566 (* 0.0272727 = 0.000104336 loss) | |
| I0321 19:40:42.757107 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00311899 (* 0.0272727 = 8.50634e-05 loss) | |
| I0321 19:40:42.757122 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00255561 (* 0.0272727 = 6.96984e-05 loss) | |
| I0321 19:40:42.757134 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:40:42.757146 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:40:42.757159 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:40:42.757170 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:40:42.757182 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:40:42.757194 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:40:42.757206 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:40:42.757218 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:40:42.757230 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:40:42.757241 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:40:42.757253 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:40:42.757264 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:40:42.757277 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:40:42.757287 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:40:42.757299 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:40:42.757310 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:40:42.757321 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:40:42.757333 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:40:42.757345 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:40:42.757356 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:40:42.757369 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:40:42.757380 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:40:42.757393 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.93733 (* 0.0272727 = 0.0801091 loss) | |
| I0321 19:40:42.757407 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.2444 (* 0.0272727 = 0.0884835 loss) | |
| I0321 19:40:42.757422 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.91875 (* 0.0272727 = 0.106875 loss) | |
| I0321 19:40:42.757436 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.94766 (* 0.0272727 = 0.107663 loss) | |
| I0321 19:40:42.757452 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.42246 (* 0.0272727 = 0.0933398 loss) | |
| I0321 19:40:42.757468 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.11294 (* 0.0272727 = 0.0848984 loss) | |
| I0321 19:40:42.757483 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.755762 (* 0.0272727 = 0.0206117 loss) | |
| I0321 19:40:42.757498 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.424193 (* 0.0272727 = 0.0115689 loss) | |
| I0321 19:40:42.757513 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0322906 (* 0.0272727 = 0.000880654 loss) | |
| I0321 19:40:42.757527 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0111915 (* 0.0272727 = 0.000305224 loss) | |
| I0321 19:40:42.757541 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00380917 (* 0.0272727 = 0.000103887 loss) | |
| I0321 19:40:42.757566 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00202374 (* 0.0272727 = 5.51928e-05 loss) | |
| I0321 19:40:42.757582 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00310331 (* 0.0272727 = 8.46357e-05 loss) | |
| I0321 19:40:42.757596 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00262397 (* 0.0272727 = 7.15628e-05 loss) | |
| I0321 19:40:42.757611 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00243507 (* 0.0272727 = 6.64111e-05 loss) | |
| I0321 19:40:42.757625 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00285459 (* 0.0272727 = 7.78523e-05 loss) | |
| I0321 19:40:42.757640 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00206126 (* 0.0272727 = 5.62162e-05 loss) | |
| I0321 19:40:42.757654 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00239155 (* 0.0272727 = 6.52242e-05 loss) | |
| I0321 19:40:42.757669 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00229685 (* 0.0272727 = 6.26415e-05 loss) | |
| I0321 19:40:42.757683 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00299632 (* 0.0272727 = 8.17178e-05 loss) | |
| I0321 19:40:42.757699 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00289141 (* 0.0272727 = 7.88565e-05 loss) | |
| I0321 19:40:42.757715 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00251148 (* 0.0272727 = 6.8495e-05 loss) | |
| I0321 19:40:42.757730 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:40:42.757741 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:40:42.757752 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:40:42.757764 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:40:42.757776 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:40:42.757787 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:40:42.757799 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:40:42.757812 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:40:42.757822 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:40:42.757833 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:40:42.757845 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:40:42.757856 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:40:42.757868 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:40:42.757879 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:40:42.757890 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:40:42.757901 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:40:42.757913 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:40:42.757925 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:40:42.757936 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:40:42.757947 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:40:42.757959 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:40:42.757971 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:40:42.757984 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.82273 (* 0.0909091 = 0.256612 loss) | |
| I0321 19:40:42.757999 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.0587 (* 0.0909091 = 0.278063 loss) | |
| I0321 19:40:42.758009 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 4.00658 (* 0.0909091 = 0.364235 loss) | |
| I0321 19:40:42.758026 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.89602 (* 0.0909091 = 0.354184 loss) | |
| I0321 19:40:42.758040 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.29212 (* 0.0909091 = 0.299283 loss) | |
| I0321 19:40:42.758055 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.02567 (* 0.0909091 = 0.275061 loss) | |
| I0321 19:40:42.758086 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.870485 (* 0.0909091 = 0.079135 loss) | |
| I0321 19:40:42.758115 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.365415 (* 0.0909091 = 0.0332195 loss) | |
| I0321 19:40:42.758136 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.045134 (* 0.0909091 = 0.00410309 loss) | |
| I0321 19:40:42.758157 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0166545 (* 0.0909091 = 0.00151404 loss) | |
| I0321 19:40:42.758172 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000406178 (* 0.0909091 = 3.69252e-05 loss) | |
| I0321 19:40:42.758186 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000681852 (* 0.0909091 = 6.19865e-05 loss) | |
| I0321 19:40:42.758200 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000858274 (* 0.0909091 = 7.80249e-05 loss) | |
| I0321 19:40:42.758215 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000560325 (* 0.0909091 = 5.09387e-05 loss) | |
| I0321 19:40:42.758230 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000768903 (* 0.0909091 = 6.99003e-05 loss) | |
| I0321 19:40:42.758244 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000512323 (* 0.0909091 = 4.65748e-05 loss) | |
| I0321 19:40:42.758260 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000527583 (* 0.0909091 = 4.79621e-05 loss) | |
| I0321 19:40:42.758273 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.00066934 (* 0.0909091 = 6.08491e-05 loss) | |
| I0321 19:40:42.758288 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000984002 (* 0.0909091 = 8.94547e-05 loss) | |
| I0321 19:40:42.758302 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000585648 (* 0.0909091 = 5.32408e-05 loss) | |
| I0321 19:40:42.758317 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000726345 (* 0.0909091 = 6.60314e-05 loss) | |
| I0321 19:40:42.758332 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00074033 (* 0.0909091 = 6.73027e-05 loss) | |
| I0321 19:40:42.758344 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:40:42.758355 2639 solver.cpp:245] Train net output #133: total_confidence = 6.42759e-05 | |
| I0321 19:40:42.758368 2639 sgd_solver.cpp:106] Iteration 1200, lr = 0.01 | |
| I0321 19:41:04.509441 2639 solver.cpp:229] Iteration 1300, loss = 3.18897 | |
| I0321 19:41:04.509501 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:41:04.509518 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:41:04.509531 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:41:04.509546 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:41:04.509558 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:41:04.509570 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:41:04.509582 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.5 | |
| I0321 19:41:04.509594 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:41:04.509608 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:41:04.509618 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:41:04.509630 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:41:04.509642 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:41:04.509654 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:41:04.509665 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:41:04.509677 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:41:04.509688 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:41:04.509703 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:41:04.509716 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:41:04.509755 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:41:04.509769 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:41:04.509781 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:41:04.509793 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:41:04.509811 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.29426 (* 0.0272727 = 0.0898434 loss) | |
| I0321 19:41:04.509826 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.47487 (* 0.0272727 = 0.0947692 loss) | |
| I0321 19:41:04.509847 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.77516 (* 0.0272727 = 0.102959 loss) | |
| I0321 19:41:04.509863 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.02982 (* 0.0272727 = 0.0826315 loss) | |
| I0321 19:41:04.509878 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.00628 (* 0.0272727 = 0.0819895 loss) | |
| I0321 19:41:04.509892 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.02961 (* 0.0272727 = 0.0826257 loss) | |
| I0321 19:41:04.509907 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.87069 (* 0.0272727 = 0.0510187 loss) | |
| I0321 19:41:04.509922 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.1476 (* 0.0272727 = 0.0312981 loss) | |
| I0321 19:41:04.509935 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0307675 (* 0.0272727 = 0.000839114 loss) | |
| I0321 19:41:04.509950 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0130075 (* 0.0272727 = 0.000354751 loss) | |
| I0321 19:41:04.509965 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00220571 (* 0.0272727 = 6.01558e-05 loss) | |
| I0321 19:41:04.509980 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00230309 (* 0.0272727 = 6.28114e-05 loss) | |
| I0321 19:41:04.509995 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.0024542 (* 0.0272727 = 6.69326e-05 loss) | |
| I0321 19:41:04.510010 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00405176 (* 0.0272727 = 0.000110503 loss) | |
| I0321 19:41:04.510025 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00236364 (* 0.0272727 = 6.4463e-05 loss) | |
| I0321 19:41:04.510040 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.0026742 (* 0.0272727 = 7.29326e-05 loss) | |
| I0321 19:41:04.510053 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00191019 (* 0.0272727 = 5.2096e-05 loss) | |
| I0321 19:41:04.510068 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00331252 (* 0.0272727 = 9.03413e-05 loss) | |
| I0321 19:41:04.510083 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00236048 (* 0.0272727 = 6.43767e-05 loss) | |
| I0321 19:41:04.510097 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00249594 (* 0.0272727 = 6.80712e-05 loss) | |
| I0321 19:41:04.510113 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00150458 (* 0.0272727 = 4.1034e-05 loss) | |
| I0321 19:41:04.510126 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00322266 (* 0.0272727 = 8.78906e-05 loss) | |
| I0321 19:41:04.510139 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:41:04.510154 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:41:04.510167 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:41:04.510179 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.375 | |
| I0321 19:41:04.510191 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:41:04.510203 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:41:04.510215 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.5 | |
| I0321 19:41:04.510228 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:41:04.510239 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:41:04.510251 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:41:04.510274 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:41:04.510288 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:41:04.510298 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:41:04.510310 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:41:04.510321 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:41:04.510334 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:41:04.510345 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:41:04.510356 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:41:04.510368 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:41:04.510380 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:41:04.510390 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:41:04.510402 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:41:04.510416 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.23228 (* 0.0272727 = 0.088153 loss) | |
| I0321 19:41:04.510431 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.64918 (* 0.0272727 = 0.0995231 loss) | |
| I0321 19:41:04.510444 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.54735 (* 0.0272727 = 0.0967459 loss) | |
| I0321 19:41:04.510458 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.9433 (* 0.0272727 = 0.0802718 loss) | |
| I0321 19:41:04.510473 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.95444 (* 0.0272727 = 0.0805756 loss) | |
| I0321 19:41:04.510488 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.80976 (* 0.0272727 = 0.0766299 loss) | |
| I0321 19:41:04.510501 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 2.03748 (* 0.0272727 = 0.0555675 loss) | |
| I0321 19:41:04.510515 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.997446 (* 0.0272727 = 0.0272031 loss) | |
| I0321 19:41:04.510530 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.046824 (* 0.0272727 = 0.00127702 loss) | |
| I0321 19:41:04.510541 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0237027 (* 0.0272727 = 0.000646436 loss) | |
| I0321 19:41:04.510556 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00342327 (* 0.0272727 = 9.33619e-05 loss) | |
| I0321 19:41:04.510571 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00320501 (* 0.0272727 = 8.74095e-05 loss) | |
| I0321 19:41:04.510586 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00277616 (* 0.0272727 = 7.57134e-05 loss) | |
| I0321 19:41:04.510599 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00251452 (* 0.0272727 = 6.8578e-05 loss) | |
| I0321 19:41:04.510620 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00309567 (* 0.0272727 = 8.44272e-05 loss) | |
| I0321 19:41:04.510637 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00288485 (* 0.0272727 = 7.86778e-05 loss) | |
| I0321 19:41:04.510650 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00196121 (* 0.0272727 = 5.34876e-05 loss) | |
| I0321 19:41:04.510665 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00335945 (* 0.0272727 = 9.16215e-05 loss) | |
| I0321 19:41:04.510679 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.0030243 (* 0.0272727 = 8.24809e-05 loss) | |
| I0321 19:41:04.510694 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.001691 (* 0.0272727 = 4.61181e-05 loss) | |
| I0321 19:41:04.510709 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00203335 (* 0.0272727 = 5.54551e-05 loss) | |
| I0321 19:41:04.510723 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00309957 (* 0.0272727 = 8.45339e-05 loss) | |
| I0321 19:41:04.510735 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:41:04.510751 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:41:04.510773 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:41:04.510787 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:41:04.510798 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:41:04.510810 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:41:04.510823 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.5 | |
| I0321 19:41:04.510834 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:41:04.510845 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:41:04.510857 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:41:04.510869 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:41:04.510879 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:41:04.510891 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:41:04.510902 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:41:04.510915 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:41:04.510926 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:41:04.510937 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:41:04.510948 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:41:04.510959 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:41:04.510970 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:41:04.510982 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:41:04.510993 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:41:04.511008 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.08876 (* 0.0909091 = 0.280796 loss) | |
| I0321 19:41:04.511021 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.30464 (* 0.0909091 = 0.300422 loss) | |
| I0321 19:41:04.511036 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.74212 (* 0.0909091 = 0.340193 loss) | |
| I0321 19:41:04.511050 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.31999 (* 0.0909091 = 0.301817 loss) | |
| I0321 19:41:04.511065 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.13292 (* 0.0909091 = 0.284811 loss) | |
| I0321 19:41:04.511078 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.00948 (* 0.0909091 = 0.273589 loss) | |
| I0321 19:41:04.511093 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.81481 (* 0.0909091 = 0.164983 loss) | |
| I0321 19:41:04.511107 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.12959 (* 0.0909091 = 0.10269 loss) | |
| I0321 19:41:04.511122 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0194235 (* 0.0909091 = 0.00176578 loss) | |
| I0321 19:41:04.511137 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0158309 (* 0.0909091 = 0.00143917 loss) | |
| I0321 19:41:04.511152 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000431747 (* 0.0909091 = 3.92498e-05 loss) | |
| I0321 19:41:04.511165 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000577688 (* 0.0909091 = 5.25171e-05 loss) | |
| I0321 19:41:04.511179 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000640413 (* 0.0909091 = 5.82193e-05 loss) | |
| I0321 19:41:04.511194 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000489027 (* 0.0909091 = 4.4457e-05 loss) | |
| I0321 19:41:04.511212 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000633487 (* 0.0909091 = 5.75898e-05 loss) | |
| I0321 19:41:04.511227 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000464551 (* 0.0909091 = 4.22319e-05 loss) | |
| I0321 19:41:04.511241 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000568006 (* 0.0909091 = 5.16369e-05 loss) | |
| I0321 19:41:04.511256 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000518887 (* 0.0909091 = 4.71715e-05 loss) | |
| I0321 19:41:04.511281 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000822595 (* 0.0909091 = 7.47814e-05 loss) | |
| I0321 19:41:04.511296 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000514046 (* 0.0909091 = 4.67315e-05 loss) | |
| I0321 19:41:04.511312 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00063663 (* 0.0909091 = 5.78754e-05 loss) | |
| I0321 19:41:04.511325 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000757506 (* 0.0909091 = 6.88642e-05 loss) | |
| I0321 19:41:04.511338 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:41:04.511350 2639 solver.cpp:245] Train net output #133: total_confidence = 4.20401e-05 | |
| I0321 19:41:04.511363 2639 sgd_solver.cpp:106] Iteration 1300, lr = 0.01 | |
| I0321 19:41:26.444721 2639 solver.cpp:229] Iteration 1400, loss = 3.24445 | |
| I0321 19:41:26.444838 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:41:26.444857 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:41:26.444870 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:41:26.444882 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:41:26.444895 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:41:26.444906 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:41:26.444919 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:41:26.444932 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:41:26.444944 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:41:26.444957 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:41:26.444969 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:41:26.444982 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:41:26.444999 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:41:26.445013 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:41:26.445024 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:41:26.445040 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:41:26.445061 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:41:26.445075 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:41:26.445087 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:41:26.445098 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:41:26.445111 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:41:26.445122 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:41:26.445138 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.25338 (* 0.0272727 = 0.0887285 loss) | |
| I0321 19:41:26.445153 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.68037 (* 0.0272727 = 0.100374 loss) | |
| I0321 19:41:26.445168 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.76837 (* 0.0272727 = 0.102774 loss) | |
| I0321 19:41:26.445183 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.82306 (* 0.0272727 = 0.104265 loss) | |
| I0321 19:41:26.445197 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.2767 (* 0.0272727 = 0.0893646 loss) | |
| I0321 19:41:26.445211 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.19398 (* 0.0272727 = 0.0871085 loss) | |
| I0321 19:41:26.445225 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.55354 (* 0.0272727 = 0.0423693 loss) | |
| I0321 19:41:26.445240 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.17747 (* 0.0272727 = 0.0321129 loss) | |
| I0321 19:41:26.445255 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.893396 (* 0.0272727 = 0.0243653 loss) | |
| I0321 19:41:26.445269 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.893457 (* 0.0272727 = 0.024367 loss) | |
| I0321 19:41:26.445284 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00403965 (* 0.0272727 = 0.000110172 loss) | |
| I0321 19:41:26.445299 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00149383 (* 0.0272727 = 4.07409e-05 loss) | |
| I0321 19:41:26.445320 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00207421 (* 0.0272727 = 5.65694e-05 loss) | |
| I0321 19:41:26.445338 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00204218 (* 0.0272727 = 5.56957e-05 loss) | |
| I0321 19:41:26.445361 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00232003 (* 0.0272727 = 6.32734e-05 loss) | |
| I0321 19:41:26.445377 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00245999 (* 0.0272727 = 6.70906e-05 loss) | |
| I0321 19:41:26.445392 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00200165 (* 0.0272727 = 5.45903e-05 loss) | |
| I0321 19:41:26.445425 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00243475 (* 0.0272727 = 6.64022e-05 loss) | |
| I0321 19:41:26.445441 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00338254 (* 0.0272727 = 9.2251e-05 loss) | |
| I0321 19:41:26.445456 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00230261 (* 0.0272727 = 6.27984e-05 loss) | |
| I0321 19:41:26.445469 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00340873 (* 0.0272727 = 9.29653e-05 loss) | |
| I0321 19:41:26.445484 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00179323 (* 0.0272727 = 4.89062e-05 loss) | |
| I0321 19:41:26.445497 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:41:26.445509 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:41:26.445521 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:41:26.445533 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:41:26.445545 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:41:26.445557 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:41:26.445570 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:41:26.445582 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:41:26.445595 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:41:26.445606 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:41:26.445618 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:41:26.445629 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:41:26.445641 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:41:26.445653 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:41:26.445667 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:41:26.445680 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:41:26.445691 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:41:26.445703 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:41:26.445715 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:41:26.445726 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:41:26.445739 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:41:26.445750 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:41:26.445765 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.32381 (* 0.0272727 = 0.0906494 loss) | |
| I0321 19:41:26.445778 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.48869 (* 0.0272727 = 0.0951462 loss) | |
| I0321 19:41:26.445793 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.34457 (* 0.0272727 = 0.0912156 loss) | |
| I0321 19:41:26.445807 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 4.10528 (* 0.0272727 = 0.111962 loss) | |
| I0321 19:41:26.445822 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.93671 (* 0.0272727 = 0.080092 loss) | |
| I0321 19:41:26.445837 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.93619 (* 0.0272727 = 0.0800779 loss) | |
| I0321 19:41:26.445850 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.61626 (* 0.0272727 = 0.0440799 loss) | |
| I0321 19:41:26.445868 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.4003 (* 0.0272727 = 0.0381901 loss) | |
| I0321 19:41:26.445883 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.938608 (* 0.0272727 = 0.0255984 loss) | |
| I0321 19:41:26.445897 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 1.07038 (* 0.0272727 = 0.0291923 loss) | |
| I0321 19:41:26.445912 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00162055 (* 0.0272727 = 4.41968e-05 loss) | |
| I0321 19:41:26.445927 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00128246 (* 0.0272727 = 3.49762e-05 loss) | |
| I0321 19:41:26.445952 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00179992 (* 0.0272727 = 4.90888e-05 loss) | |
| I0321 19:41:26.445967 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00142155 (* 0.0272727 = 3.87694e-05 loss) | |
| I0321 19:41:26.445982 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00143855 (* 0.0272727 = 3.92331e-05 loss) | |
| I0321 19:41:26.445997 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00161942 (* 0.0272727 = 4.4166e-05 loss) | |
| I0321 19:41:26.446012 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00223125 (* 0.0272727 = 6.08522e-05 loss) | |
| I0321 19:41:26.446027 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00243828 (* 0.0272727 = 6.64986e-05 loss) | |
| I0321 19:41:26.446041 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00141352 (* 0.0272727 = 3.85504e-05 loss) | |
| I0321 19:41:26.446055 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00270879 (* 0.0272727 = 7.38762e-05 loss) | |
| I0321 19:41:26.446070 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00190989 (* 0.0272727 = 5.20878e-05 loss) | |
| I0321 19:41:26.446085 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00195588 (* 0.0272727 = 5.33422e-05 loss) | |
| I0321 19:41:26.446097 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:41:26.446110 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:41:26.446122 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:41:26.446133 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:41:26.446146 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:41:26.446156 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:41:26.446168 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:41:26.446180 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:41:26.446192 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:41:26.446204 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:41:26.446216 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:41:26.446228 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:41:26.446239 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:41:26.446250 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:41:26.446262 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:41:26.446274 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:41:26.446285 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:41:26.446297 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:41:26.446308 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:41:26.446321 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:41:26.446332 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:41:26.446343 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:41:26.446357 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.30832 (* 0.0909091 = 0.300757 loss) | |
| I0321 19:41:26.446372 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.52936 (* 0.0909091 = 0.320851 loss) | |
| I0321 19:41:26.446382 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.28418 (* 0.0909091 = 0.298561 loss) | |
| I0321 19:41:26.446391 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.80935 (* 0.0909091 = 0.346305 loss) | |
| I0321 19:41:26.446405 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.80415 (* 0.0909091 = 0.254923 loss) | |
| I0321 19:41:26.446420 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.6976 (* 0.0909091 = 0.245237 loss) | |
| I0321 19:41:26.446451 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.59051 (* 0.0909091 = 0.144592 loss) | |
| I0321 19:41:26.446480 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.19335 (* 0.0909091 = 0.108486 loss) | |
| I0321 19:41:26.446502 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.857765 (* 0.0909091 = 0.0779786 loss) | |
| I0321 19:41:26.446523 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.907122 (* 0.0909091 = 0.0824656 loss) | |
| I0321 19:41:26.446538 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000524234 (* 0.0909091 = 4.76576e-05 loss) | |
| I0321 19:41:26.446553 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000937564 (* 0.0909091 = 8.52331e-05 loss) | |
| I0321 19:41:26.446568 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000896377 (* 0.0909091 = 8.14888e-05 loss) | |
| I0321 19:41:26.446583 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000694118 (* 0.0909091 = 6.31016e-05 loss) | |
| I0321 19:41:26.446596 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00108647 (* 0.0909091 = 9.87697e-05 loss) | |
| I0321 19:41:26.446611 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000604615 (* 0.0909091 = 5.4965e-05 loss) | |
| I0321 19:41:26.446625 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000845872 (* 0.0909091 = 7.68974e-05 loss) | |
| I0321 19:41:26.446640 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000699277 (* 0.0909091 = 6.35706e-05 loss) | |
| I0321 19:41:26.446655 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00107894 (* 0.0909091 = 9.80853e-05 loss) | |
| I0321 19:41:26.446669 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000740022 (* 0.0909091 = 6.72747e-05 loss) | |
| I0321 19:41:26.446683 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000712993 (* 0.0909091 = 6.48175e-05 loss) | |
| I0321 19:41:26.446698 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00123733 (* 0.0909091 = 0.000112485 loss) | |
| I0321 19:41:26.446710 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:41:26.446725 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000192055 | |
| I0321 19:41:26.446738 2639 sgd_solver.cpp:106] Iteration 1400, lr = 0.01 | |
| I0321 19:41:48.349910 2639 solver.cpp:229] Iteration 1500, loss = 3.16557 | |
| I0321 19:41:48.349973 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:41:48.349992 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:41:48.350004 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:41:48.350018 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:41:48.350030 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:41:48.350044 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:41:48.350055 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:41:48.350067 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:41:48.350080 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:41:48.350091 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:41:48.350103 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:41:48.350116 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:41:48.350126 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:41:48.350138 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:41:48.350149 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:41:48.350162 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:41:48.350172 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:41:48.350184 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:41:48.350224 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:41:48.350237 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:41:48.350250 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:41:48.350261 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:41:48.350278 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.72876 (* 0.0272727 = 0.101693 loss) | |
| I0321 19:41:48.350293 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.79944 (* 0.0272727 = 0.103621 loss) | |
| I0321 19:41:48.350308 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.73655 (* 0.0272727 = 0.101906 loss) | |
| I0321 19:41:48.350332 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.33197 (* 0.0272727 = 0.090872 loss) | |
| I0321 19:41:48.350347 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.27545 (* 0.0272727 = 0.0893304 loss) | |
| I0321 19:41:48.350360 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.11454 (* 0.0272727 = 0.0576694 loss) | |
| I0321 19:41:48.350375 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.29191 (* 0.0272727 = 0.035234 loss) | |
| I0321 19:41:48.350389 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.580955 (* 0.0272727 = 0.0158442 loss) | |
| I0321 19:41:48.350406 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.682041 (* 0.0272727 = 0.0186011 loss) | |
| I0321 19:41:48.350422 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.614441 (* 0.0272727 = 0.0167575 loss) | |
| I0321 19:41:48.350437 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000983235 (* 0.0272727 = 2.68155e-05 loss) | |
| I0321 19:41:48.350452 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.0009167 (* 0.0272727 = 2.50009e-05 loss) | |
| I0321 19:41:48.350467 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00113903 (* 0.0272727 = 3.10643e-05 loss) | |
| I0321 19:41:48.350482 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000869231 (* 0.0272727 = 2.37063e-05 loss) | |
| I0321 19:41:48.350497 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00124077 (* 0.0272727 = 3.38392e-05 loss) | |
| I0321 19:41:48.350512 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000844589 (* 0.0272727 = 2.30342e-05 loss) | |
| I0321 19:41:48.350527 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000865435 (* 0.0272727 = 2.36028e-05 loss) | |
| I0321 19:41:48.350541 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000923155 (* 0.0272727 = 2.51769e-05 loss) | |
| I0321 19:41:48.350555 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00080923 (* 0.0272727 = 2.20699e-05 loss) | |
| I0321 19:41:48.350570 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00114709 (* 0.0272727 = 3.12843e-05 loss) | |
| I0321 19:41:48.350584 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00123626 (* 0.0272727 = 3.37162e-05 loss) | |
| I0321 19:41:48.350600 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00171955 (* 0.0272727 = 4.68969e-05 loss) | |
| I0321 19:41:48.350611 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:41:48.350625 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:41:48.350636 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:41:48.350648 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:41:48.350661 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:41:48.350672 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:41:48.350683 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:41:48.350695 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:41:48.350708 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:41:48.350718 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:41:48.350744 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:41:48.350757 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:41:48.350769 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:41:48.350780 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:41:48.350792 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:41:48.350803 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:41:48.350816 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:41:48.350826 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:41:48.350838 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:41:48.350849 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:41:48.350860 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:41:48.350872 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:41:48.350886 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.72806 (* 0.0272727 = 0.101674 loss) | |
| I0321 19:41:48.350900 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.65619 (* 0.0272727 = 0.0997143 loss) | |
| I0321 19:41:48.350914 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.68119 (* 0.0272727 = 0.100396 loss) | |
| I0321 19:41:48.350929 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.20613 (* 0.0272727 = 0.0874398 loss) | |
| I0321 19:41:48.350944 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.248 (* 0.0272727 = 0.0885818 loss) | |
| I0321 19:41:48.350960 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.72472 (* 0.0272727 = 0.0470378 loss) | |
| I0321 19:41:48.350975 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.33553 (* 0.0272727 = 0.0364235 loss) | |
| I0321 19:41:48.350988 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.65583 (* 0.0272727 = 0.0178863 loss) | |
| I0321 19:41:48.351003 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.59016 (* 0.0272727 = 0.0160953 loss) | |
| I0321 19:41:48.351018 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.805194 (* 0.0272727 = 0.0219598 loss) | |
| I0321 19:41:48.351032 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00111255 (* 0.0272727 = 3.03422e-05 loss) | |
| I0321 19:41:48.351053 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00122184 (* 0.0272727 = 3.33228e-05 loss) | |
| I0321 19:41:48.351069 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.0011233 (* 0.0272727 = 3.06355e-05 loss) | |
| I0321 19:41:48.351084 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00100269 (* 0.0272727 = 2.73461e-05 loss) | |
| I0321 19:41:48.351099 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00107016 (* 0.0272727 = 2.91861e-05 loss) | |
| I0321 19:41:48.351114 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00120015 (* 0.0272727 = 3.27313e-05 loss) | |
| I0321 19:41:48.351127 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000989922 (* 0.0272727 = 2.69979e-05 loss) | |
| I0321 19:41:48.351142 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00123597 (* 0.0272727 = 3.37084e-05 loss) | |
| I0321 19:41:48.351156 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00104378 (* 0.0272727 = 2.84668e-05 loss) | |
| I0321 19:41:48.351171 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00113456 (* 0.0272727 = 3.09425e-05 loss) | |
| I0321 19:41:48.351186 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000876065 (* 0.0272727 = 2.38927e-05 loss) | |
| I0321 19:41:48.351199 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000991837 (* 0.0272727 = 2.70501e-05 loss) | |
| I0321 19:41:48.351212 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:41:48.351224 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:41:48.351248 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:41:48.351260 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:41:48.351272 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:41:48.351284 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.75 | |
| I0321 19:41:48.351295 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:41:48.351307 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:41:48.351320 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:41:48.351330 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:41:48.351342 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:41:48.351353 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:41:48.351364 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:41:48.351377 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:41:48.351387 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:41:48.351398 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:41:48.351409 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:41:48.351420 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:41:48.351433 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:41:48.351444 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:41:48.351455 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:41:48.351470 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:41:48.351485 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.66055 (* 0.0909091 = 0.332778 loss) | |
| I0321 19:41:48.351500 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.81918 (* 0.0909091 = 0.347199 loss) | |
| I0321 19:41:48.351513 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.89977 (* 0.0909091 = 0.354525 loss) | |
| I0321 19:41:48.351527 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.18117 (* 0.0909091 = 0.289197 loss) | |
| I0321 19:41:48.351542 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.33422 (* 0.0909091 = 0.303111 loss) | |
| I0321 19:41:48.351557 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.758 (* 0.0909091 = 0.159818 loss) | |
| I0321 19:41:48.351572 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.29105 (* 0.0909091 = 0.117368 loss) | |
| I0321 19:41:48.351585 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.583127 (* 0.0909091 = 0.0530115 loss) | |
| I0321 19:41:48.351599 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.746415 (* 0.0909091 = 0.0678559 loss) | |
| I0321 19:41:48.351613 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.796975 (* 0.0909091 = 0.0724523 loss) | |
| I0321 19:41:48.351629 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000184099 (* 0.0909091 = 1.67363e-05 loss) | |
| I0321 19:41:48.351642 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000264778 (* 0.0909091 = 2.40707e-05 loss) | |
| I0321 19:41:48.351657 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000269761 (* 0.0909091 = 2.45237e-05 loss) | |
| I0321 19:41:48.351672 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000237717 (* 0.0909091 = 2.16106e-05 loss) | |
| I0321 19:41:48.351686 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000236993 (* 0.0909091 = 2.15449e-05 loss) | |
| I0321 19:41:48.351701 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000241302 (* 0.0909091 = 2.19365e-05 loss) | |
| I0321 19:41:48.351716 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000221876 (* 0.0909091 = 2.01705e-05 loss) | |
| I0321 19:41:48.351730 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000246025 (* 0.0909091 = 2.23659e-05 loss) | |
| I0321 19:41:48.351755 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000374539 (* 0.0909091 = 3.4049e-05 loss) | |
| I0321 19:41:48.351770 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000254427 (* 0.0909091 = 2.31297e-05 loss) | |
| I0321 19:41:48.351785 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000255636 (* 0.0909091 = 2.32397e-05 loss) | |
| I0321 19:41:48.351802 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000361809 (* 0.0909091 = 3.28917e-05 loss) | |
| I0321 19:41:48.351815 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:41:48.351827 2639 solver.cpp:245] Train net output #133: total_confidence = 4.32757e-05 | |
| I0321 19:41:48.351840 2639 sgd_solver.cpp:106] Iteration 1500, lr = 0.01 | |
| I0321 19:42:10.113198 2639 solver.cpp:229] Iteration 1600, loss = 3.09544 | |
| I0321 19:42:10.113329 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:42:10.113350 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:42:10.113364 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:42:10.113376 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:42:10.113389 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:42:10.113401 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:42:10.113414 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:42:10.113426 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:42:10.113438 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:42:10.113450 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:42:10.113461 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:42:10.113481 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:42:10.113493 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:42:10.113505 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:42:10.113517 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:42:10.113529 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:42:10.113541 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:42:10.113553 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:42:10.113564 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:42:10.113576 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:42:10.113589 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:42:10.113600 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:42:10.113616 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.01876 (* 0.0272727 = 0.0823298 loss) | |
| I0321 19:42:10.113631 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.25953 (* 0.0272727 = 0.0888961 loss) | |
| I0321 19:42:10.113646 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.62979 (* 0.0272727 = 0.0989943 loss) | |
| I0321 19:42:10.113662 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.31299 (* 0.0272727 = 0.0903542 loss) | |
| I0321 19:42:10.113678 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.47204 (* 0.0272727 = 0.0946919 loss) | |
| I0321 19:42:10.113692 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.68153 (* 0.0272727 = 0.04586 loss) | |
| I0321 19:42:10.113708 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.92711 (* 0.0272727 = 0.0252848 loss) | |
| I0321 19:42:10.113723 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.114262 (* 0.0272727 = 0.00311624 loss) | |
| I0321 19:42:10.113737 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0459401 (* 0.0272727 = 0.00125291 loss) | |
| I0321 19:42:10.113752 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0193223 (* 0.0272727 = 0.000526973 loss) | |
| I0321 19:42:10.113767 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00122913 (* 0.0272727 = 3.35218e-05 loss) | |
| I0321 19:42:10.113782 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00132967 (* 0.0272727 = 3.62637e-05 loss) | |
| I0321 19:42:10.113797 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00155777 (* 0.0272727 = 4.24848e-05 loss) | |
| I0321 19:42:10.113811 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00103906 (* 0.0272727 = 2.83379e-05 loss) | |
| I0321 19:42:10.113826 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.0019277 (* 0.0272727 = 5.25736e-05 loss) | |
| I0321 19:42:10.113842 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00141189 (* 0.0272727 = 3.85062e-05 loss) | |
| I0321 19:42:10.113857 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00126076 (* 0.0272727 = 3.43843e-05 loss) | |
| I0321 19:42:10.113888 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00167129 (* 0.0272727 = 4.55806e-05 loss) | |
| I0321 19:42:10.113904 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00187818 (* 0.0272727 = 5.1223e-05 loss) | |
| I0321 19:42:10.113919 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00156398 (* 0.0272727 = 4.26539e-05 loss) | |
| I0321 19:42:10.113934 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00162935 (* 0.0272727 = 4.44367e-05 loss) | |
| I0321 19:42:10.113948 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00147521 (* 0.0272727 = 4.02329e-05 loss) | |
| I0321 19:42:10.113960 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:42:10.113973 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:42:10.113986 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:42:10.113997 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:42:10.114009 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0 | |
| I0321 19:42:10.114022 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:42:10.114033 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:42:10.114045 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:42:10.114058 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:42:10.114069 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:42:10.114080 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:42:10.114092 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:42:10.114104 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:42:10.114116 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:42:10.114127 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:42:10.114140 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:42:10.114151 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:42:10.114162 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:42:10.114174 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:42:10.114187 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:42:10.114197 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:42:10.114209 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:42:10.114223 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.80566 (* 0.0272727 = 0.0765179 loss) | |
| I0321 19:42:10.114238 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.17233 (* 0.0272727 = 0.086518 loss) | |
| I0321 19:42:10.114251 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.24714 (* 0.0272727 = 0.0885584 loss) | |
| I0321 19:42:10.114265 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.4052 (* 0.0272727 = 0.0928691 loss) | |
| I0321 19:42:10.114280 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.706 (* 0.0272727 = 0.101073 loss) | |
| I0321 19:42:10.114295 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.72989 (* 0.0272727 = 0.0471789 loss) | |
| I0321 19:42:10.114308 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.984009 (* 0.0272727 = 0.0268366 loss) | |
| I0321 19:42:10.114322 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.144223 (* 0.0272727 = 0.00393336 loss) | |
| I0321 19:42:10.114337 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.120269 (* 0.0272727 = 0.00328005 loss) | |
| I0321 19:42:10.114356 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0282587 (* 0.0272727 = 0.000770691 loss) | |
| I0321 19:42:10.114370 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.0021369 (* 0.0272727 = 5.82791e-05 loss) | |
| I0321 19:42:10.114395 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00255495 (* 0.0272727 = 6.96803e-05 loss) | |
| I0321 19:42:10.114411 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00135998 (* 0.0272727 = 3.70904e-05 loss) | |
| I0321 19:42:10.114425 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00184235 (* 0.0272727 = 5.02459e-05 loss) | |
| I0321 19:42:10.114440 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00167413 (* 0.0272727 = 4.5658e-05 loss) | |
| I0321 19:42:10.114454 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.0014615 (* 0.0272727 = 3.98592e-05 loss) | |
| I0321 19:42:10.114470 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00161942 (* 0.0272727 = 4.4166e-05 loss) | |
| I0321 19:42:10.114485 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00293026 (* 0.0272727 = 7.99162e-05 loss) | |
| I0321 19:42:10.114498 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00141369 (* 0.0272727 = 3.85552e-05 loss) | |
| I0321 19:42:10.114513 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00144706 (* 0.0272727 = 3.94654e-05 loss) | |
| I0321 19:42:10.114528 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00279 (* 0.0272727 = 7.60909e-05 loss) | |
| I0321 19:42:10.114543 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00160507 (* 0.0272727 = 4.37747e-05 loss) | |
| I0321 19:42:10.114555 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:42:10.114568 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.25 | |
| I0321 19:42:10.114580 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:42:10.114593 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:42:10.114603 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0 | |
| I0321 19:42:10.114615 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:42:10.114627 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:42:10.114639 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:42:10.114651 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:42:10.114662 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:42:10.114675 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:42:10.114686 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:42:10.114698 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:42:10.114711 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:42:10.114728 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:42:10.114749 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:42:10.114783 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:42:10.114809 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:42:10.114821 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:42:10.114833 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:42:10.114845 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:42:10.114857 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:42:10.114871 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.85812 (* 0.0909091 = 0.259829 loss) | |
| I0321 19:42:10.114886 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.00117 (* 0.0909091 = 0.272833 loss) | |
| I0321 19:42:10.114899 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.31818 (* 0.0909091 = 0.301653 loss) | |
| I0321 19:42:10.114913 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.16196 (* 0.0909091 = 0.287451 loss) | |
| I0321 19:42:10.114928 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.81886 (* 0.0909091 = 0.347169 loss) | |
| I0321 19:42:10.114943 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.62472 (* 0.0909091 = 0.147701 loss) | |
| I0321 19:42:10.114969 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.01443 (* 0.0909091 = 0.0922209 loss) | |
| I0321 19:42:10.114984 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.11285 (* 0.0909091 = 0.0102591 loss) | |
| I0321 19:42:10.114998 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0701051 (* 0.0909091 = 0.00637319 loss) | |
| I0321 19:42:10.115013 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0206057 (* 0.0909091 = 0.00187324 loss) | |
| I0321 19:42:10.115027 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000256805 (* 0.0909091 = 2.33459e-05 loss) | |
| I0321 19:42:10.115042 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000259619 (* 0.0909091 = 2.36017e-05 loss) | |
| I0321 19:42:10.115056 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000331006 (* 0.0909091 = 3.00915e-05 loss) | |
| I0321 19:42:10.115072 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000217444 (* 0.0909091 = 1.97676e-05 loss) | |
| I0321 19:42:10.115085 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000199571 (* 0.0909091 = 1.81428e-05 loss) | |
| I0321 19:42:10.115099 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000256634 (* 0.0909091 = 2.33304e-05 loss) | |
| I0321 19:42:10.115114 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000242665 (* 0.0909091 = 2.20605e-05 loss) | |
| I0321 19:42:10.115129 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000256298 (* 0.0909091 = 2.32998e-05 loss) | |
| I0321 19:42:10.115144 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000241388 (* 0.0909091 = 2.19443e-05 loss) | |
| I0321 19:42:10.115157 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000256111 (* 0.0909091 = 2.32829e-05 loss) | |
| I0321 19:42:10.115172 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000239866 (* 0.0909091 = 2.1806e-05 loss) | |
| I0321 19:42:10.115186 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000251356 (* 0.0909091 = 2.28505e-05 loss) | |
| I0321 19:42:10.115198 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:42:10.115211 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000807692 | |
| I0321 19:42:10.115223 2639 sgd_solver.cpp:106] Iteration 1600, lr = 0.01 | |
| I0321 19:42:32.026628 2639 solver.cpp:229] Iteration 1700, loss = 3.11737 | |
| I0321 19:42:32.026705 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:42:32.026726 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.25 | |
| I0321 19:42:32.026739 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:42:32.026752 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:42:32.026765 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.5 | |
| I0321 19:42:32.026777 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:42:32.026790 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:42:32.026803 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:42:32.026815 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:42:32.026828 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:42:32.026839 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:42:32.026851 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:42:32.026864 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:42:32.026875 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:42:32.026887 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:42:32.026900 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:42:32.026911 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:42:32.026922 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:42:32.026968 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:42:32.026983 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:42:32.026995 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:42:32.027006 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:42:32.027024 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.92606 (* 0.0272727 = 0.0798017 loss) | |
| I0321 19:42:32.027039 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.26308 (* 0.0272727 = 0.0889932 loss) | |
| I0321 19:42:32.027053 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.4438 (* 0.0272727 = 0.0939219 loss) | |
| I0321 19:42:32.027067 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.45136 (* 0.0272727 = 0.0941281 loss) | |
| I0321 19:42:32.027091 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.42439 (* 0.0272727 = 0.0661198 loss) | |
| I0321 19:42:32.027107 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.60856 (* 0.0272727 = 0.0438697 loss) | |
| I0321 19:42:32.027120 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.530341 (* 0.0272727 = 0.0144638 loss) | |
| I0321 19:42:32.027137 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0685142 (* 0.0272727 = 0.00186857 loss) | |
| I0321 19:42:32.027151 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0168013 (* 0.0272727 = 0.000458218 loss) | |
| I0321 19:42:32.027165 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0117423 (* 0.0272727 = 0.000320245 loss) | |
| I0321 19:42:32.027180 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000934495 (* 0.0272727 = 2.54862e-05 loss) | |
| I0321 19:42:32.027195 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00106372 (* 0.0272727 = 2.90105e-05 loss) | |
| I0321 19:42:32.027211 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00141567 (* 0.0272727 = 3.86091e-05 loss) | |
| I0321 19:42:32.027226 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00102573 (* 0.0272727 = 2.79744e-05 loss) | |
| I0321 19:42:32.027241 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00100685 (* 0.0272727 = 2.74596e-05 loss) | |
| I0321 19:42:32.027256 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00090704 (* 0.0272727 = 2.47375e-05 loss) | |
| I0321 19:42:32.027271 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00118949 (* 0.0272727 = 3.24407e-05 loss) | |
| I0321 19:42:32.027286 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00110507 (* 0.0272727 = 3.01382e-05 loss) | |
| I0321 19:42:32.027300 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00111788 (* 0.0272727 = 3.04878e-05 loss) | |
| I0321 19:42:32.027314 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00129098 (* 0.0272727 = 3.52085e-05 loss) | |
| I0321 19:42:32.027328 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00103991 (* 0.0272727 = 2.83611e-05 loss) | |
| I0321 19:42:32.027343 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00122761 (* 0.0272727 = 3.34802e-05 loss) | |
| I0321 19:42:32.027356 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:42:32.027369 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:42:32.027381 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:42:32.027393 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:42:32.027405 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.5 | |
| I0321 19:42:32.027416 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:42:32.027429 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:42:32.027441 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:42:32.027453 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:42:32.027465 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:42:32.027487 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:42:32.027500 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:42:32.027513 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:42:32.027523 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:42:32.027536 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:42:32.027549 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:42:32.027559 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:42:32.027571 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:42:32.027583 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:42:32.027601 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:42:32.027626 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:42:32.027644 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:42:32.027659 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.91554 (* 0.0272727 = 0.0795147 loss) | |
| I0321 19:42:32.027674 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.35262 (* 0.0272727 = 0.0914351 loss) | |
| I0321 19:42:32.027693 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.44175 (* 0.0272727 = 0.0938658 loss) | |
| I0321 19:42:32.027709 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.78487 (* 0.0272727 = 0.103224 loss) | |
| I0321 19:42:32.027719 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.34603 (* 0.0272727 = 0.0639825 loss) | |
| I0321 19:42:32.027727 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.60425 (* 0.0272727 = 0.0437523 loss) | |
| I0321 19:42:32.027745 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.628085 (* 0.0272727 = 0.0171296 loss) | |
| I0321 19:42:32.027760 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.08197 (* 0.0272727 = 0.00223555 loss) | |
| I0321 19:42:32.027777 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0301266 (* 0.0272727 = 0.000821634 loss) | |
| I0321 19:42:32.027792 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0162335 (* 0.0272727 = 0.000442733 loss) | |
| I0321 19:42:32.027813 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00118663 (* 0.0272727 = 3.23625e-05 loss) | |
| I0321 19:42:32.027829 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00102188 (* 0.0272727 = 2.78694e-05 loss) | |
| I0321 19:42:32.027844 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00104311 (* 0.0272727 = 2.84484e-05 loss) | |
| I0321 19:42:32.027859 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000773556 (* 0.0272727 = 2.1097e-05 loss) | |
| I0321 19:42:32.027873 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00147517 (* 0.0272727 = 4.0232e-05 loss) | |
| I0321 19:42:32.027889 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00123482 (* 0.0272727 = 3.3677e-05 loss) | |
| I0321 19:42:32.027904 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00105617 (* 0.0272727 = 2.88048e-05 loss) | |
| I0321 19:42:32.027918 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000916999 (* 0.0272727 = 2.50091e-05 loss) | |
| I0321 19:42:32.027932 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000895253 (* 0.0272727 = 2.4416e-05 loss) | |
| I0321 19:42:32.027947 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00113717 (* 0.0272727 = 3.10137e-05 loss) | |
| I0321 19:42:32.027961 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00159839 (* 0.0272727 = 4.35924e-05 loss) | |
| I0321 19:42:32.027976 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00127812 (* 0.0272727 = 3.48577e-05 loss) | |
| I0321 19:42:32.027989 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:42:32.028002 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:42:32.028025 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:42:32.028039 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:42:32.028069 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:42:32.028084 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:42:32.028096 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:42:32.028108 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:42:32.028120 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:42:32.028132 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:42:32.028143 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:42:32.028156 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:42:32.028167 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:42:32.028178 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:42:32.028190 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:42:32.028201 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:42:32.028213 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:42:32.028225 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:42:32.028237 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:42:32.028249 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:42:32.028260 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:42:32.028271 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:42:32.028286 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.82504 (* 0.0909091 = 0.256822 loss) | |
| I0321 19:42:32.028301 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.3917 (* 0.0909091 = 0.308336 loss) | |
| I0321 19:42:32.028314 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.29122 (* 0.0909091 = 0.299202 loss) | |
| I0321 19:42:32.028329 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.43438 (* 0.0909091 = 0.312216 loss) | |
| I0321 19:42:32.028343 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.49252 (* 0.0909091 = 0.226593 loss) | |
| I0321 19:42:32.028357 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.60123 (* 0.0909091 = 0.145566 loss) | |
| I0321 19:42:32.028373 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.589686 (* 0.0909091 = 0.0536078 loss) | |
| I0321 19:42:32.028388 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0720616 (* 0.0909091 = 0.00655106 loss) | |
| I0321 19:42:32.028401 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0471818 (* 0.0909091 = 0.00428925 loss) | |
| I0321 19:42:32.028416 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0238324 (* 0.0909091 = 0.00216658 loss) | |
| I0321 19:42:32.028431 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000179064 (* 0.0909091 = 1.62786e-05 loss) | |
| I0321 19:42:32.028445 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000127441 (* 0.0909091 = 1.15855e-05 loss) | |
| I0321 19:42:32.028460 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000139104 (* 0.0909091 = 1.26458e-05 loss) | |
| I0321 19:42:32.028475 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000167319 (* 0.0909091 = 1.52108e-05 loss) | |
| I0321 19:42:32.028489 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00011297 (* 0.0909091 = 1.027e-05 loss) | |
| I0321 19:42:32.028504 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000151051 (* 0.0909091 = 1.37319e-05 loss) | |
| I0321 19:42:32.028519 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000169503 (* 0.0909091 = 1.54094e-05 loss) | |
| I0321 19:42:32.028534 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000143538 (* 0.0909091 = 1.30489e-05 loss) | |
| I0321 19:42:32.028560 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000152359 (* 0.0909091 = 1.38508e-05 loss) | |
| I0321 19:42:32.028580 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000159624 (* 0.0909091 = 1.45113e-05 loss) | |
| I0321 19:42:32.028595 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000152826 (* 0.0909091 = 1.38933e-05 loss) | |
| I0321 19:42:32.028610 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000166315 (* 0.0909091 = 1.51196e-05 loss) | |
| I0321 19:42:32.028623 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:42:32.028635 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000148055 | |
| I0321 19:42:32.028648 2639 sgd_solver.cpp:106] Iteration 1700, lr = 0.01 | |
| I0321 19:42:53.834686 2639 solver.cpp:229] Iteration 1800, loss = 3.1324 | |
| I0321 19:42:53.834842 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:42:53.834864 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:42:53.834877 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:42:53.834890 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:42:53.834903 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:42:53.834915 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:42:53.834928 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:42:53.834939 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:42:53.834951 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:42:53.834964 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:42:53.834975 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:42:53.834987 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:42:53.834998 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:42:53.835011 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:42:53.835021 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:42:53.835033 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:42:53.835046 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:42:53.835057 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:42:53.835068 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:42:53.835080 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:42:53.835093 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:42:53.835103 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:42:53.835119 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.96673 (* 0.0272727 = 0.0809109 loss) | |
| I0321 19:42:53.835134 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.40336 (* 0.0272727 = 0.0928189 loss) | |
| I0321 19:42:53.835150 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.44241 (* 0.0272727 = 0.093884 loss) | |
| I0321 19:42:53.835163 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.73368 (* 0.0272727 = 0.101828 loss) | |
| I0321 19:42:53.835177 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.26455 (* 0.0272727 = 0.0890333 loss) | |
| I0321 19:42:53.835191 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.12724 (* 0.0272727 = 0.0580157 loss) | |
| I0321 19:42:53.835206 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.86541 (* 0.0272727 = 0.0508749 loss) | |
| I0321 19:42:53.835222 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0386526 (* 0.0272727 = 0.00105416 loss) | |
| I0321 19:42:53.835235 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0197926 (* 0.0272727 = 0.000539799 loss) | |
| I0321 19:42:53.835250 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00526901 (* 0.0272727 = 0.0001437 loss) | |
| I0321 19:42:53.835265 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000702616 (* 0.0272727 = 1.91623e-05 loss) | |
| I0321 19:42:53.835280 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000913432 (* 0.0272727 = 2.49118e-05 loss) | |
| I0321 19:42:53.835295 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000920346 (* 0.0272727 = 2.51003e-05 loss) | |
| I0321 19:42:53.835310 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000824268 (* 0.0272727 = 2.248e-05 loss) | |
| I0321 19:42:53.835325 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000693417 (* 0.0272727 = 1.89114e-05 loss) | |
| I0321 19:42:53.835340 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000674775 (* 0.0272727 = 1.8403e-05 loss) | |
| I0321 19:42:53.835353 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000580108 (* 0.0272727 = 1.58211e-05 loss) | |
| I0321 19:42:53.835382 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00130245 (* 0.0272727 = 3.55213e-05 loss) | |
| I0321 19:42:53.835397 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000826376 (* 0.0272727 = 2.25375e-05 loss) | |
| I0321 19:42:53.835412 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000828066 (* 0.0272727 = 2.25836e-05 loss) | |
| I0321 19:42:53.835427 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000670514 (* 0.0272727 = 1.82867e-05 loss) | |
| I0321 19:42:53.835441 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000833279 (* 0.0272727 = 2.27258e-05 loss) | |
| I0321 19:42:53.835453 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:42:53.835466 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:42:53.835477 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:42:53.835489 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:42:53.835500 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:42:53.835512 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:42:53.835525 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:42:53.835536 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:42:53.835547 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:42:53.835559 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:42:53.835571 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:42:53.835582 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:42:53.835593 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:42:53.835604 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:42:53.835615 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:42:53.835626 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:42:53.835638 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:42:53.835649 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:42:53.835662 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:42:53.835675 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:42:53.835686 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:42:53.835698 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:42:53.835711 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.07 (* 0.0272727 = 0.0837274 loss) | |
| I0321 19:42:53.835726 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.34827 (* 0.0272727 = 0.0913165 loss) | |
| I0321 19:42:53.835741 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.63807 (* 0.0272727 = 0.0992202 loss) | |
| I0321 19:42:53.835754 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.56689 (* 0.0272727 = 0.0972787 loss) | |
| I0321 19:42:53.835768 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.15763 (* 0.0272727 = 0.0861171 loss) | |
| I0321 19:42:53.835783 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.33693 (* 0.0272727 = 0.0637345 loss) | |
| I0321 19:42:53.835798 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.96988 (* 0.0272727 = 0.0537241 loss) | |
| I0321 19:42:53.835811 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0352154 (* 0.0272727 = 0.000960419 loss) | |
| I0321 19:42:53.835826 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0206813 (* 0.0272727 = 0.000564036 loss) | |
| I0321 19:42:53.835841 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00605161 (* 0.0272727 = 0.000165044 loss) | |
| I0321 19:42:53.835858 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000803091 (* 0.0272727 = 2.19025e-05 loss) | |
| I0321 19:42:53.835885 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000671343 (* 0.0272727 = 1.83093e-05 loss) | |
| I0321 19:42:53.835901 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00102815 (* 0.0272727 = 2.80404e-05 loss) | |
| I0321 19:42:53.835916 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000638423 (* 0.0272727 = 1.74115e-05 loss) | |
| I0321 19:42:53.835929 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000592233 (* 0.0272727 = 1.61518e-05 loss) | |
| I0321 19:42:53.835944 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000736786 (* 0.0272727 = 2.00942e-05 loss) | |
| I0321 19:42:53.835959 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000634335 (* 0.0272727 = 1.73e-05 loss) | |
| I0321 19:42:53.835969 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000529399 (* 0.0272727 = 1.44381e-05 loss) | |
| I0321 19:42:53.835979 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000678228 (* 0.0272727 = 1.84971e-05 loss) | |
| I0321 19:42:53.835994 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000736703 (* 0.0272727 = 2.00919e-05 loss) | |
| I0321 19:42:53.836009 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000588339 (* 0.0272727 = 1.60456e-05 loss) | |
| I0321 19:42:53.836024 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000626678 (* 0.0272727 = 1.70912e-05 loss) | |
| I0321 19:42:53.836035 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:42:53.836063 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.25 | |
| I0321 19:42:53.836079 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:42:53.836100 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:42:53.836120 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:42:53.836133 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:42:53.836146 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:42:53.836158 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:42:53.836169 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:42:53.836179 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:42:53.836191 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:42:53.836202 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:42:53.836215 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:42:53.836225 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:42:53.836237 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:42:53.836248 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:42:53.836259 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:42:53.836271 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:42:53.836282 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:42:53.836294 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:42:53.836305 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:42:53.836316 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:42:53.836330 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.95153 (* 0.0909091 = 0.268321 loss) | |
| I0321 19:42:53.836345 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.22208 (* 0.0909091 = 0.292916 loss) | |
| I0321 19:42:53.836359 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.72295 (* 0.0909091 = 0.33845 loss) | |
| I0321 19:42:53.836372 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.49235 (* 0.0909091 = 0.317487 loss) | |
| I0321 19:42:53.836386 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.05917 (* 0.0909091 = 0.278106 loss) | |
| I0321 19:42:53.836400 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.16074 (* 0.0909091 = 0.196431 loss) | |
| I0321 19:42:53.836427 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 2.00657 (* 0.0909091 = 0.182416 loss) | |
| I0321 19:42:53.836442 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0486875 (* 0.0909091 = 0.00442613 loss) | |
| I0321 19:42:53.836457 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0163543 (* 0.0909091 = 0.00148676 loss) | |
| I0321 19:42:53.836472 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00414252 (* 0.0909091 = 0.000376592 loss) | |
| I0321 19:42:53.836485 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00013084 (* 0.0909091 = 1.18945e-05 loss) | |
| I0321 19:42:53.836500 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 9.34231e-05 (* 0.0909091 = 8.49301e-06 loss) | |
| I0321 19:42:53.836514 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 8.76615e-05 (* 0.0909091 = 7.96923e-06 loss) | |
| I0321 19:42:53.836529 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000106031 (* 0.0909091 = 9.63916e-06 loss) | |
| I0321 19:42:53.836544 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 8.98921e-05 (* 0.0909091 = 8.17201e-06 loss) | |
| I0321 19:42:53.836557 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000103989 (* 0.0909091 = 9.45356e-06 loss) | |
| I0321 19:42:53.836572 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000112381 (* 0.0909091 = 1.02165e-05 loss) | |
| I0321 19:42:53.836586 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 9.30647e-05 (* 0.0909091 = 8.46043e-06 loss) | |
| I0321 19:42:53.836601 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 8.33632e-05 (* 0.0909091 = 7.57847e-06 loss) | |
| I0321 19:42:53.836616 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.0001053 (* 0.0909091 = 9.57276e-06 loss) | |
| I0321 19:42:53.836630 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000118708 (* 0.0909091 = 1.07917e-05 loss) | |
| I0321 19:42:53.836644 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00011586 (* 0.0909091 = 1.05328e-05 loss) | |
| I0321 19:42:53.836657 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:42:53.836668 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000313397 | |
| I0321 19:42:53.836680 2639 sgd_solver.cpp:106] Iteration 1800, lr = 0.01 | |
| I0321 19:43:15.921023 2639 solver.cpp:229] Iteration 1900, loss = 3.06225 | |
| I0321 19:43:15.921092 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:43:15.921110 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:43:15.921123 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:43:15.921138 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:43:15.921150 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:43:15.921162 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:43:15.921175 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:43:15.921188 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:43:15.921200 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:43:15.921212 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:43:15.921224 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:43:15.921236 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:43:15.921248 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:43:15.921260 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:43:15.921272 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:43:15.921284 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:43:15.921296 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:43:15.921345 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:43:15.921360 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:43:15.921372 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:43:15.921386 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:43:15.921397 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:43:15.921414 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.35791 (* 0.0272727 = 0.0915793 loss) | |
| I0321 19:43:15.921429 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.26429 (* 0.0272727 = 0.0890261 loss) | |
| I0321 19:43:15.921444 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.18998 (* 0.0272727 = 0.0869994 loss) | |
| I0321 19:43:15.921458 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.12482 (* 0.0272727 = 0.0852224 loss) | |
| I0321 19:43:15.921473 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.62059 (* 0.0272727 = 0.0714707 loss) | |
| I0321 19:43:15.921489 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.61939 (* 0.0272727 = 0.0441651 loss) | |
| I0321 19:43:15.921502 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.577363 (* 0.0272727 = 0.0157463 loss) | |
| I0321 19:43:15.921525 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.709549 (* 0.0272727 = 0.0193513 loss) | |
| I0321 19:43:15.921540 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0303225 (* 0.0272727 = 0.000826978 loss) | |
| I0321 19:43:15.921555 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00694668 (* 0.0272727 = 0.000189455 loss) | |
| I0321 19:43:15.921569 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00112063 (* 0.0272727 = 3.05625e-05 loss) | |
| I0321 19:43:15.921591 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00094459 (* 0.0272727 = 2.57616e-05 loss) | |
| I0321 19:43:15.921604 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00205063 (* 0.0272727 = 5.59264e-05 loss) | |
| I0321 19:43:15.921619 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000831577 (* 0.0272727 = 2.26794e-05 loss) | |
| I0321 19:43:15.921634 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00151114 (* 0.0272727 = 4.12129e-05 loss) | |
| I0321 19:43:15.921649 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00137407 (* 0.0272727 = 3.74747e-05 loss) | |
| I0321 19:43:15.921664 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00119479 (* 0.0272727 = 3.25853e-05 loss) | |
| I0321 19:43:15.921679 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000927635 (* 0.0272727 = 2.52991e-05 loss) | |
| I0321 19:43:15.921694 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00157147 (* 0.0272727 = 4.28582e-05 loss) | |
| I0321 19:43:15.921708 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00159232 (* 0.0272727 = 4.34269e-05 loss) | |
| I0321 19:43:15.921726 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00121855 (* 0.0272727 = 3.32332e-05 loss) | |
| I0321 19:43:15.921741 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.0010696 (* 0.0272727 = 2.91709e-05 loss) | |
| I0321 19:43:15.921756 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:43:15.921768 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:43:15.921780 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.25 | |
| I0321 19:43:15.921793 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:43:15.921805 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.5 | |
| I0321 19:43:15.921818 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:43:15.921830 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:43:15.921843 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:43:15.921854 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:43:15.921877 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:43:15.921891 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:43:15.921903 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:43:15.921916 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:43:15.921928 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:43:15.921941 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:43:15.921952 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:43:15.921967 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:43:15.921980 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:43:15.921993 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:43:15.922004 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:43:15.922016 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:43:15.922029 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:43:15.922044 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.00897 (* 0.0272727 = 0.0820627 loss) | |
| I0321 19:43:15.922058 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.27204 (* 0.0272727 = 0.0892375 loss) | |
| I0321 19:43:15.922073 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.29764 (* 0.0272727 = 0.0899356 loss) | |
| I0321 19:43:15.922087 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.01541 (* 0.0272727 = 0.0822384 loss) | |
| I0321 19:43:15.922102 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.33076 (* 0.0272727 = 0.0635661 loss) | |
| I0321 19:43:15.922116 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.76023 (* 0.0272727 = 0.0480063 loss) | |
| I0321 19:43:15.922132 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.546015 (* 0.0272727 = 0.0148913 loss) | |
| I0321 19:43:15.922147 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.930108 (* 0.0272727 = 0.0253666 loss) | |
| I0321 19:43:15.922161 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0184014 (* 0.0272727 = 0.000501856 loss) | |
| I0321 19:43:15.922175 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00762986 (* 0.0272727 = 0.000208087 loss) | |
| I0321 19:43:15.922190 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00160088 (* 0.0272727 = 4.36602e-05 loss) | |
| I0321 19:43:15.922205 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00181714 (* 0.0272727 = 4.95583e-05 loss) | |
| I0321 19:43:15.922220 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00142383 (* 0.0272727 = 3.88318e-05 loss) | |
| I0321 19:43:15.922235 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00177474 (* 0.0272727 = 4.84019e-05 loss) | |
| I0321 19:43:15.922250 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00190739 (* 0.0272727 = 5.20199e-05 loss) | |
| I0321 19:43:15.922265 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00176802 (* 0.0272727 = 4.82187e-05 loss) | |
| I0321 19:43:15.922279 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00132508 (* 0.0272727 = 3.61385e-05 loss) | |
| I0321 19:43:15.922298 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00135988 (* 0.0272727 = 3.70876e-05 loss) | |
| I0321 19:43:15.922309 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00100098 (* 0.0272727 = 2.72995e-05 loss) | |
| I0321 19:43:15.922319 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00107799 (* 0.0272727 = 2.93996e-05 loss) | |
| I0321 19:43:15.922334 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00154158 (* 0.0272727 = 4.20431e-05 loss) | |
| I0321 19:43:15.922348 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00217646 (* 0.0272727 = 5.9358e-05 loss) | |
| I0321 19:43:15.922368 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:43:15.922379 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:43:15.922402 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:43:15.922416 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:43:15.922436 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:43:15.922449 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:43:15.922461 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 1 | |
| I0321 19:43:15.922473 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:43:15.922485 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:43:15.922497 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:43:15.922508 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:43:15.922520 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:43:15.922531 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:43:15.922544 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:43:15.922555 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:43:15.922567 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:43:15.922580 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:43:15.922590 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:43:15.922602 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:43:15.922615 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:43:15.922626 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:43:15.922637 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:43:15.922652 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.22278 (* 0.0909091 = 0.29298 loss) | |
| I0321 19:43:15.922667 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.16214 (* 0.0909091 = 0.287468 loss) | |
| I0321 19:43:15.922680 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.35587 (* 0.0909091 = 0.305079 loss) | |
| I0321 19:43:15.922694 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.0901 (* 0.0909091 = 0.280918 loss) | |
| I0321 19:43:15.922709 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.51834 (* 0.0909091 = 0.22894 loss) | |
| I0321 19:43:15.922724 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.73865 (* 0.0909091 = 0.158059 loss) | |
| I0321 19:43:15.922737 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.498869 (* 0.0909091 = 0.0453517 loss) | |
| I0321 19:43:15.922751 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.825084 (* 0.0909091 = 0.0750076 loss) | |
| I0321 19:43:15.922765 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0377569 (* 0.0909091 = 0.00343244 loss) | |
| I0321 19:43:15.922783 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00567817 (* 0.0909091 = 0.000516197 loss) | |
| I0321 19:43:15.922798 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000188633 (* 0.0909091 = 1.71485e-05 loss) | |
| I0321 19:43:15.922812 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000202238 (* 0.0909091 = 1.83853e-05 loss) | |
| I0321 19:43:15.922827 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000271808 (* 0.0909091 = 2.47098e-05 loss) | |
| I0321 19:43:15.922842 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000238322 (* 0.0909091 = 2.16656e-05 loss) | |
| I0321 19:43:15.922857 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000158767 (* 0.0909091 = 1.44333e-05 loss) | |
| I0321 19:43:15.922871 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000273582 (* 0.0909091 = 2.48711e-05 loss) | |
| I0321 19:43:15.922886 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000192842 (* 0.0909091 = 1.75311e-05 loss) | |
| I0321 19:43:15.922901 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000223917 (* 0.0909091 = 2.03561e-05 loss) | |
| I0321 19:43:15.922926 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000216256 (* 0.0909091 = 1.96597e-05 loss) | |
| I0321 19:43:15.922942 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000222899 (* 0.0909091 = 2.02635e-05 loss) | |
| I0321 19:43:15.922956 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000227749 (* 0.0909091 = 2.07044e-05 loss) | |
| I0321 19:43:15.922971 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000247063 (* 0.0909091 = 2.24603e-05 loss) | |
| I0321 19:43:15.922984 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:43:15.922996 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000628528 | |
| I0321 19:43:15.923010 2639 sgd_solver.cpp:106] Iteration 1900, lr = 0.01 | |
| I0321 19:43:37.732255 2639 solver.cpp:338] Iteration 2000, Testing net (#0) | |
| I0321 19:44:11.057490 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.055 | |
| I0321 19:44:11.057637 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.061 | |
| I0321 19:44:11.057656 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.053 | |
| I0321 19:44:11.057672 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.061 | |
| I0321 19:44:11.057693 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.202 | |
| I0321 19:44:11.057705 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.515 | |
| I0321 19:44:11.057718 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.834 | |
| I0321 19:44:11.057729 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.928 | |
| I0321 19:44:11.057741 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.972 | |
| I0321 19:44:11.057762 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.99 | |
| I0321 19:44:11.057773 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 1 | |
| I0321 19:44:11.057785 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 1 | |
| I0321 19:44:11.057796 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 1 | |
| I0321 19:44:11.057807 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 1 | |
| I0321 19:44:11.057819 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 1 | |
| I0321 19:44:11.057834 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 1 | |
| I0321 19:44:11.057847 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 1 | |
| I0321 19:44:11.057857 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 1 | |
| I0321 19:44:11.057869 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 1 | |
| I0321 19:44:11.057880 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 1 | |
| I0321 19:44:11.057893 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 1 | |
| I0321 19:44:11.057904 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 1 | |
| I0321 19:44:11.057920 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 3.85208 (* 0.0272727 = 0.105057 loss) | |
| I0321 19:44:11.057935 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 3.88008 (* 0.0272727 = 0.10582 loss) | |
| I0321 19:44:11.057957 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 3.94866 (* 0.0272727 = 0.107691 loss) | |
| I0321 19:44:11.057972 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 3.88879 (* 0.0272727 = 0.106058 loss) | |
| I0321 19:44:11.057986 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 3.51398 (* 0.0272727 = 0.0958357 loss) | |
| I0321 19:44:11.058001 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 2.45679 (* 0.0272727 = 0.0670034 loss) | |
| I0321 19:44:11.058027 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 1.17701 (* 0.0272727 = 0.0321004 loss) | |
| I0321 19:44:11.058040 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 0.656368 (* 0.0272727 = 0.017901 loss) | |
| I0321 19:44:11.058054 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 0.25124 (* 0.0272727 = 0.006852 loss) | |
| I0321 19:44:11.058069 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 0.109699 (* 0.0272727 = 0.00299179 loss) | |
| I0321 19:44:11.058084 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 0.0122767 (* 0.0272727 = 0.000334819 loss) | |
| I0321 19:44:11.058099 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 0.00928385 (* 0.0272727 = 0.000253196 loss) | |
| I0321 19:44:11.058114 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 0.0110898 (* 0.0272727 = 0.00030245 loss) | |
| I0321 19:44:11.058127 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 0.00941567 (* 0.0272727 = 0.000256791 loss) | |
| I0321 19:44:11.058142 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 0.00909421 (* 0.0272727 = 0.000248024 loss) | |
| I0321 19:44:11.058157 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 0.0128934 (* 0.0272727 = 0.000351639 loss) | |
| I0321 19:44:11.058171 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 0.010604 (* 0.0272727 = 0.0002892 loss) | |
| I0321 19:44:11.058187 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 0.00819028 (* 0.0272727 = 0.000223371 loss) | |
| I0321 19:44:11.058221 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 0.0104415 (* 0.0272727 = 0.000284767 loss) | |
| I0321 19:44:11.058238 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 0.0122015 (* 0.0272727 = 0.000332767 loss) | |
| I0321 19:44:11.058251 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 0.0103845 (* 0.0272727 = 0.000283212 loss) | |
| I0321 19:44:11.058265 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 0.00796021 (* 0.0272727 = 0.000217097 loss) | |
| I0321 19:44:11.058279 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.068 | |
| I0321 19:44:11.058290 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.055 | |
| I0321 19:44:11.058302 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.052 | |
| I0321 19:44:11.058320 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.071 | |
| I0321 19:44:11.058331 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.184 | |
| I0321 19:44:11.058342 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.438 | |
| I0321 19:44:11.058354 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.834 | |
| I0321 19:44:11.058367 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.928 | |
| I0321 19:44:11.058377 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.972 | |
| I0321 19:44:11.058389 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.99 | |
| I0321 19:44:11.058401 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 1 | |
| I0321 19:44:11.058413 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 1 | |
| I0321 19:44:11.058423 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 1 | |
| I0321 19:44:11.058434 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 1 | |
| I0321 19:44:11.058446 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 1 | |
| I0321 19:44:11.058456 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 1 | |
| I0321 19:44:11.058467 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 1 | |
| I0321 19:44:11.058488 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 1 | |
| I0321 19:44:11.058500 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 1 | |
| I0321 19:44:11.058511 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 1 | |
| I0321 19:44:11.058521 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 1 | |
| I0321 19:44:11.058532 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 1 | |
| I0321 19:44:11.058547 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 3.86266 (* 0.0272727 = 0.105345 loss) | |
| I0321 19:44:11.058560 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 3.94449 (* 0.0272727 = 0.107577 loss) | |
| I0321 19:44:11.058574 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 3.9419 (* 0.0272727 = 0.107506 loss) | |
| I0321 19:44:11.058588 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 3.92364 (* 0.0272727 = 0.107008 loss) | |
| I0321 19:44:11.058598 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 3.5922 (* 0.0272727 = 0.097969 loss) | |
| I0321 19:44:11.058609 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 2.62285 (* 0.0272727 = 0.0715323 loss) | |
| I0321 19:44:11.058622 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 0.999316 (* 0.0272727 = 0.0272541 loss) | |
| I0321 19:44:11.058641 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 0.461324 (* 0.0272727 = 0.0125816 loss) | |
| I0321 19:44:11.058658 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 0.204845 (* 0.0272727 = 0.00558669 loss) | |
| I0321 19:44:11.058679 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 0.0888159 (* 0.0272727 = 0.00242225 loss) | |
| I0321 19:44:11.058699 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 0.00399551 (* 0.0272727 = 0.000108969 loss) | |
| I0321 19:44:11.058718 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 0.0036664 (* 0.0272727 = 9.99928e-05 loss) | |
| I0321 19:44:11.058734 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 0.00288927 (* 0.0272727 = 7.87984e-05 loss) | |
| I0321 19:44:11.058761 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 0.00387268 (* 0.0272727 = 0.000105618 loss) | |
| I0321 19:44:11.058776 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 0.00401965 (* 0.0272727 = 0.000109627 loss) | |
| I0321 19:44:11.058790 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 0.00318069 (* 0.0272727 = 8.6746e-05 loss) | |
| I0321 19:44:11.058809 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 0.0030174 (* 0.0272727 = 8.22927e-05 loss) | |
| I0321 19:44:11.058823 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 0.00452207 (* 0.0272727 = 0.000123329 loss) | |
| I0321 19:44:11.058838 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 0.00439619 (* 0.0272727 = 0.000119896 loss) | |
| I0321 19:44:11.058852 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 0.00344989 (* 0.0272727 = 9.40879e-05 loss) | |
| I0321 19:44:11.058872 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 0.0036822 (* 0.0272727 = 0.000100424 loss) | |
| I0321 19:44:11.058887 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 0.00376558 (* 0.0272727 = 0.000102698 loss) | |
| I0321 19:44:11.058898 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0.053 | |
| I0321 19:44:11.058910 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.056 | |
| I0321 19:44:11.058923 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.048 | |
| I0321 19:44:11.058934 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.065 | |
| I0321 19:44:11.058945 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.192 | |
| I0321 19:44:11.058956 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.426 | |
| I0321 19:44:11.058967 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.834 | |
| I0321 19:44:11.058979 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.928 | |
| I0321 19:44:11.058990 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.972 | |
| I0321 19:44:11.059001 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.99 | |
| I0321 19:44:11.059013 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:44:11.059025 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:44:11.059043 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:44:11.059054 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:44:11.059065 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:44:11.059077 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:44:11.059087 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:44:11.059106 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:44:11.059118 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:44:11.059128 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:44:11.059139 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:44:11.059150 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:44:11.059164 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 4.1122 (* 0.0909091 = 0.373836 loss) | |
| I0321 19:44:11.059177 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 4.16018 (* 0.0909091 = 0.378198 loss) | |
| I0321 19:44:11.059191 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 4.10799 (* 0.0909091 = 0.373454 loss) | |
| I0321 19:44:11.059206 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 4.19088 (* 0.0909091 = 0.380989 loss) | |
| I0321 19:44:11.059218 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 3.6222 (* 0.0909091 = 0.329291 loss) | |
| I0321 19:44:11.059232 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 2.53642 (* 0.0909091 = 0.230584 loss) | |
| I0321 19:44:11.059247 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 0.904726 (* 0.0909091 = 0.0822478 loss) | |
| I0321 19:44:11.059272 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 0.441508 (* 0.0909091 = 0.0401371 loss) | |
| I0321 19:44:11.059286 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 0.201151 (* 0.0909091 = 0.0182864 loss) | |
| I0321 19:44:11.059300 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 0.0917543 (* 0.0909091 = 0.0083413 loss) | |
| I0321 19:44:11.059315 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 0.000125947 (* 0.0909091 = 1.14498e-05 loss) | |
| I0321 19:44:11.059329 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 0.00017804 (* 0.0909091 = 1.61854e-05 loss) | |
| I0321 19:44:11.059343 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 0.000155439 (* 0.0909091 = 1.41308e-05 loss) | |
| I0321 19:44:11.059357 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 0.000120456 (* 0.0909091 = 1.09506e-05 loss) | |
| I0321 19:44:11.059371 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 0.000163663 (* 0.0909091 = 1.48784e-05 loss) | |
| I0321 19:44:11.059386 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 0.000112756 (* 0.0909091 = 1.02506e-05 loss) | |
| I0321 19:44:11.059399 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 0.000167252 (* 0.0909091 = 1.52048e-05 loss) | |
| I0321 19:44:11.059413 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 0.000168586 (* 0.0909091 = 1.5326e-05 loss) | |
| I0321 19:44:11.059428 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 0.000150119 (* 0.0909091 = 1.36472e-05 loss) | |
| I0321 19:44:11.059442 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 0.000170613 (* 0.0909091 = 1.55102e-05 loss) | |
| I0321 19:44:11.059456 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 0.000182238 (* 0.0909091 = 1.65671e-05 loss) | |
| I0321 19:44:11.059470 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 0.000231866 (* 0.0909091 = 2.10787e-05 loss) | |
| I0321 19:44:11.059483 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:44:11.059494 2639 solver.cpp:406] Test net output #133: total_confidence = 0.00123306 | |
| I0321 19:44:11.170815 2639 solver.cpp:229] Iteration 2000, loss = 3.09006 | |
| I0321 19:44:11.170871 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:44:11.170887 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.25 | |
| I0321 19:44:11.170900 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:44:11.170913 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:44:11.170925 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:44:11.170938 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:44:11.170949 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:44:11.170963 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:44:11.170974 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:44:11.170986 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:44:11.170999 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:44:11.171010 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:44:11.171022 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:44:11.171036 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:44:11.171061 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:44:11.171085 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:44:11.171100 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:44:11.171113 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:44:11.171123 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:44:11.171135 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:44:11.171154 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:44:11.171187 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:44:11.171205 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.62473 (* 0.0272727 = 0.0715837 loss) | |
| I0321 19:44:11.171221 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.77028 (* 0.0272727 = 0.0755532 loss) | |
| I0321 19:44:11.171234 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.47051 (* 0.0272727 = 0.0946504 loss) | |
| I0321 19:44:11.171252 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.33742 (* 0.0272727 = 0.0910206 loss) | |
| I0321 19:44:11.171267 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.45869 (* 0.0272727 = 0.0670551 loss) | |
| I0321 19:44:11.171282 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.03102 (* 0.0272727 = 0.0553914 loss) | |
| I0321 19:44:11.171296 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.801924 (* 0.0272727 = 0.0218707 loss) | |
| I0321 19:44:11.171311 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.859214 (* 0.0272727 = 0.0234331 loss) | |
| I0321 19:44:11.171325 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.53795 (* 0.0272727 = 0.0146714 loss) | |
| I0321 19:44:11.171339 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.826721 (* 0.0272727 = 0.0225469 loss) | |
| I0321 19:44:11.171355 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00148727 (* 0.0272727 = 4.0562e-05 loss) | |
| I0321 19:44:11.171370 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00178719 (* 0.0272727 = 4.87416e-05 loss) | |
| I0321 19:44:11.171385 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00165728 (* 0.0272727 = 4.51984e-05 loss) | |
| I0321 19:44:11.171399 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00196188 (* 0.0272727 = 5.35058e-05 loss) | |
| I0321 19:44:11.171414 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00102146 (* 0.0272727 = 2.78581e-05 loss) | |
| I0321 19:44:11.171428 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.001336 (* 0.0272727 = 3.64365e-05 loss) | |
| I0321 19:44:11.171443 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00155639 (* 0.0272727 = 4.24469e-05 loss) | |
| I0321 19:44:11.171458 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00189157 (* 0.0272727 = 5.15882e-05 loss) | |
| I0321 19:44:11.171473 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00155579 (* 0.0272727 = 4.24307e-05 loss) | |
| I0321 19:44:11.171486 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00128005 (* 0.0272727 = 3.49106e-05 loss) | |
| I0321 19:44:11.171501 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00156415 (* 0.0272727 = 4.26587e-05 loss) | |
| I0321 19:44:11.171515 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00128122 (* 0.0272727 = 3.49422e-05 loss) | |
| I0321 19:44:11.171527 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:44:11.171540 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:44:11.171552 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:44:11.171563 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:44:11.171576 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:44:11.171587 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:44:11.171599 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:44:11.171612 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:44:11.171623 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:44:11.171632 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:44:11.171643 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:44:11.171654 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:44:11.171666 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:44:11.171689 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:44:11.171701 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:44:11.171713 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:44:11.171725 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:44:11.171736 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:44:11.171747 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:44:11.171761 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:44:11.171773 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:44:11.171785 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:44:11.171799 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.71106 (* 0.0272727 = 0.0739379 loss) | |
| I0321 19:44:11.171813 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.94109 (* 0.0272727 = 0.0802114 loss) | |
| I0321 19:44:11.171828 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.14646 (* 0.0272727 = 0.0858126 loss) | |
| I0321 19:44:11.171841 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.13708 (* 0.0272727 = 0.0855566 loss) | |
| I0321 19:44:11.171855 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.49583 (* 0.0272727 = 0.0680681 loss) | |
| I0321 19:44:11.171870 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.83399 (* 0.0272727 = 0.0500179 loss) | |
| I0321 19:44:11.171885 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.848264 (* 0.0272727 = 0.0231345 loss) | |
| I0321 19:44:11.171898 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.746265 (* 0.0272727 = 0.0203527 loss) | |
| I0321 19:44:11.171912 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.805783 (* 0.0272727 = 0.0219759 loss) | |
| I0321 19:44:11.171926 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 1.05608 (* 0.0272727 = 0.0288022 loss) | |
| I0321 19:44:11.171941 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000889463 (* 0.0272727 = 2.42581e-05 loss) | |
| I0321 19:44:11.171955 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000868097 (* 0.0272727 = 2.36754e-05 loss) | |
| I0321 19:44:11.171969 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000879848 (* 0.0272727 = 2.39959e-05 loss) | |
| I0321 19:44:11.171983 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00110135 (* 0.0272727 = 3.00369e-05 loss) | |
| I0321 19:44:11.171998 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000887044 (* 0.0272727 = 2.41921e-05 loss) | |
| I0321 19:44:11.172013 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000888678 (* 0.0272727 = 2.42367e-05 loss) | |
| I0321 19:44:11.172026 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000826434 (* 0.0272727 = 2.25391e-05 loss) | |
| I0321 19:44:11.172041 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000943777 (* 0.0272727 = 2.57394e-05 loss) | |
| I0321 19:44:11.172078 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000786905 (* 0.0272727 = 2.1461e-05 loss) | |
| I0321 19:44:11.172094 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000856286 (* 0.0272727 = 2.33533e-05 loss) | |
| I0321 19:44:11.172109 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000808 (* 0.0272727 = 2.20364e-05 loss) | |
| I0321 19:44:11.172123 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000901566 (* 0.0272727 = 2.45882e-05 loss) | |
| I0321 19:44:11.172137 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:44:11.172148 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:44:11.172160 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:44:11.172171 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:44:11.172183 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:44:11.172207 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:44:11.172220 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:44:11.172238 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:44:11.172250 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:44:11.172262 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:44:11.172273 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:44:11.172286 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:44:11.172304 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:44:11.172317 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:44:11.172328 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:44:11.172339 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:44:11.172351 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:44:11.172363 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:44:11.172374 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:44:11.172385 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:44:11.172397 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:44:11.172408 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:44:11.172422 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.68369 (* 0.0909091 = 0.243972 loss) | |
| I0321 19:44:11.172436 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.99659 (* 0.0909091 = 0.272417 loss) | |
| I0321 19:44:11.172451 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.02269 (* 0.0909091 = 0.27479 loss) | |
| I0321 19:44:11.172464 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.00108 (* 0.0909091 = 0.272826 loss) | |
| I0321 19:44:11.172479 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.38921 (* 0.0909091 = 0.217201 loss) | |
| I0321 19:44:11.172493 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.83075 (* 0.0909091 = 0.166432 loss) | |
| I0321 19:44:11.172508 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.867485 (* 0.0909091 = 0.0788622 loss) | |
| I0321 19:44:11.172521 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.738819 (* 0.0909091 = 0.0671654 loss) | |
| I0321 19:44:11.172535 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.661045 (* 0.0909091 = 0.060095 loss) | |
| I0321 19:44:11.172549 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.952046 (* 0.0909091 = 0.0865496 loss) | |
| I0321 19:44:11.172564 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000384243 (* 0.0909091 = 3.49312e-05 loss) | |
| I0321 19:44:11.172579 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000296544 (* 0.0909091 = 2.69586e-05 loss) | |
| I0321 19:44:11.172593 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000405534 (* 0.0909091 = 3.68667e-05 loss) | |
| I0321 19:44:11.172607 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000427684 (* 0.0909091 = 3.88804e-05 loss) | |
| I0321 19:44:11.172621 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000302303 (* 0.0909091 = 2.74821e-05 loss) | |
| I0321 19:44:11.172636 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000368451 (* 0.0909091 = 3.34956e-05 loss) | |
| I0321 19:44:11.172651 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000378286 (* 0.0909091 = 3.43897e-05 loss) | |
| I0321 19:44:11.172664 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000382248 (* 0.0909091 = 3.47498e-05 loss) | |
| I0321 19:44:11.172679 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000420317 (* 0.0909091 = 3.82106e-05 loss) | |
| I0321 19:44:11.172693 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.00035967 (* 0.0909091 = 3.26972e-05 loss) | |
| I0321 19:44:11.172719 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000399324 (* 0.0909091 = 3.63022e-05 loss) | |
| I0321 19:44:11.172734 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000418332 (* 0.0909091 = 3.80302e-05 loss) | |
| I0321 19:44:11.172747 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:44:11.172758 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000167348 | |
| I0321 19:44:11.172771 2639 sgd_solver.cpp:106] Iteration 2000, lr = 0.01 | |
| I0321 19:44:32.986933 2639 solver.cpp:229] Iteration 2100, loss = 3.13593 | |
| I0321 19:44:32.986979 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:44:32.986994 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:44:32.987007 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:44:32.987020 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:44:32.987031 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:44:32.987043 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.125 | |
| I0321 19:44:32.987056 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:44:32.987071 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:44:32.987084 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:44:32.987097 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:44:32.987107 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:44:32.987120 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:44:32.987131 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:44:32.987143 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:44:32.987155 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:44:32.987167 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:44:32.987179 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:44:32.987190 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:44:32.987202 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:44:32.987215 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:44:32.987226 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:44:32.987237 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:44:32.987253 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.82584 (* 0.0272727 = 0.104341 loss) | |
| I0321 19:44:32.987268 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.12129 (* 0.0272727 = 0.112399 loss) | |
| I0321 19:44:32.987283 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.788 (* 0.0272727 = 0.103309 loss) | |
| I0321 19:44:32.987298 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.68649 (* 0.0272727 = 0.100541 loss) | |
| I0321 19:44:32.987313 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.41022 (* 0.0272727 = 0.0930059 loss) | |
| I0321 19:44:32.987326 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.575 (* 0.0272727 = 0.0974999 loss) | |
| I0321 19:44:32.987341 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.89556 (* 0.0272727 = 0.0516971 loss) | |
| I0321 19:44:32.987356 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0798808 (* 0.0272727 = 0.00217857 loss) | |
| I0321 19:44:32.987370 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0206063 (* 0.0272727 = 0.000561989 loss) | |
| I0321 19:44:32.987385 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00631276 (* 0.0272727 = 0.000172166 loss) | |
| I0321 19:44:32.987401 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000431244 (* 0.0272727 = 1.17612e-05 loss) | |
| I0321 19:44:32.987416 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000532491 (* 0.0272727 = 1.45225e-05 loss) | |
| I0321 19:44:32.987457 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000549927 (* 0.0272727 = 1.4998e-05 loss) | |
| I0321 19:44:32.987473 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00053783 (* 0.0272727 = 1.46681e-05 loss) | |
| I0321 19:44:32.987488 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000606928 (* 0.0272727 = 1.65526e-05 loss) | |
| I0321 19:44:32.987503 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000666132 (* 0.0272727 = 1.81672e-05 loss) | |
| I0321 19:44:32.987517 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000538986 (* 0.0272727 = 1.46996e-05 loss) | |
| I0321 19:44:32.987531 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000469122 (* 0.0272727 = 1.27942e-05 loss) | |
| I0321 19:44:32.987545 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00055189 (* 0.0272727 = 1.50515e-05 loss) | |
| I0321 19:44:32.987560 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000657397 (* 0.0272727 = 1.7929e-05 loss) | |
| I0321 19:44:32.987574 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000547973 (* 0.0272727 = 1.49447e-05 loss) | |
| I0321 19:44:32.987589 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000476064 (* 0.0272727 = 1.29836e-05 loss) | |
| I0321 19:44:32.987601 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:44:32.987613 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:44:32.987625 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:44:32.987637 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:44:32.987649 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:44:32.987660 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.125 | |
| I0321 19:44:32.987673 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:44:32.987684 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:44:32.987696 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:44:32.987707 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:44:32.987720 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:44:32.987730 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:44:32.987742 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:44:32.987753 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:44:32.987767 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:44:32.987779 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:44:32.987792 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:44:32.987803 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:44:32.987814 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:44:32.987826 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:44:32.987838 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:44:32.987849 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:44:32.987864 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.36812 (* 0.0272727 = 0.0918579 loss) | |
| I0321 19:44:32.987879 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.71976 (* 0.0272727 = 0.101448 loss) | |
| I0321 19:44:32.987892 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.49548 (* 0.0272727 = 0.0953313 loss) | |
| I0321 19:44:32.987906 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.75094 (* 0.0272727 = 0.102298 loss) | |
| I0321 19:44:32.987920 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.39964 (* 0.0272727 = 0.0927175 loss) | |
| I0321 19:44:32.987936 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.71497 (* 0.0272727 = 0.101317 loss) | |
| I0321 19:44:32.987960 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.9386 (* 0.0272727 = 0.0528708 loss) | |
| I0321 19:44:32.987975 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0739974 (* 0.0272727 = 0.00201811 loss) | |
| I0321 19:44:32.987990 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0626424 (* 0.0272727 = 0.00170843 loss) | |
| I0321 19:44:32.988004 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0106286 (* 0.0272727 = 0.000289871 loss) | |
| I0321 19:44:32.988019 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000549104 (* 0.0272727 = 1.49756e-05 loss) | |
| I0321 19:44:32.988034 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000638808 (* 0.0272727 = 1.7422e-05 loss) | |
| I0321 19:44:32.988070 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000671979 (* 0.0272727 = 1.83267e-05 loss) | |
| I0321 19:44:32.988095 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000760571 (* 0.0272727 = 2.07428e-05 loss) | |
| I0321 19:44:32.988111 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000700103 (* 0.0272727 = 1.90937e-05 loss) | |
| I0321 19:44:32.988129 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00058583 (* 0.0272727 = 1.59772e-05 loss) | |
| I0321 19:44:32.988144 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000713726 (* 0.0272727 = 1.94653e-05 loss) | |
| I0321 19:44:32.988158 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000739443 (* 0.0272727 = 2.01666e-05 loss) | |
| I0321 19:44:32.988173 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000595997 (* 0.0272727 = 1.62545e-05 loss) | |
| I0321 19:44:32.988188 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000794151 (* 0.0272727 = 2.16587e-05 loss) | |
| I0321 19:44:32.988203 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000718571 (* 0.0272727 = 1.95974e-05 loss) | |
| I0321 19:44:32.988217 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000742885 (* 0.0272727 = 2.02605e-05 loss) | |
| I0321 19:44:32.988230 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:44:32.988242 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:44:32.988255 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:44:32.988266 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:44:32.988278 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:44:32.988291 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.125 | |
| I0321 19:44:32.988302 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:44:32.988314 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:44:32.988325 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:44:32.988337 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:44:32.988349 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:44:32.988360 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:44:32.988373 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:44:32.988384 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:44:32.988395 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:44:32.988406 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:44:32.988418 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:44:32.988430 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:44:32.988441 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:44:32.988453 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:44:32.988464 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:44:32.988476 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:44:32.988502 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.47055 (* 0.0909091 = 0.315504 loss) | |
| I0321 19:44:32.988518 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.7301 (* 0.0909091 = 0.3391 loss) | |
| I0321 19:44:32.988533 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.48666 (* 0.0909091 = 0.316969 loss) | |
| I0321 19:44:32.988546 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.54861 (* 0.0909091 = 0.3226 loss) | |
| I0321 19:44:32.988561 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.28259 (* 0.0909091 = 0.298417 loss) | |
| I0321 19:44:32.988575 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.4948 (* 0.0909091 = 0.317709 loss) | |
| I0321 19:44:32.988590 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.81663 (* 0.0909091 = 0.165148 loss) | |
| I0321 19:44:32.988605 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0404286 (* 0.0909091 = 0.00367533 loss) | |
| I0321 19:44:32.988620 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0178332 (* 0.0909091 = 0.0016212 loss) | |
| I0321 19:44:32.988634 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00990616 (* 0.0909091 = 0.00090056 loss) | |
| I0321 19:44:32.988648 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000126744 (* 0.0909091 = 1.15222e-05 loss) | |
| I0321 19:44:32.988663 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000140872 (* 0.0909091 = 1.28065e-05 loss) | |
| I0321 19:44:32.988677 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000176906 (* 0.0909091 = 1.60824e-05 loss) | |
| I0321 19:44:32.988692 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000139021 (* 0.0909091 = 1.26383e-05 loss) | |
| I0321 19:44:32.988706 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000127046 (* 0.0909091 = 1.15497e-05 loss) | |
| I0321 19:44:32.988721 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000134862 (* 0.0909091 = 1.22602e-05 loss) | |
| I0321 19:44:32.988735 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000126817 (* 0.0909091 = 1.15288e-05 loss) | |
| I0321 19:44:32.988750 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000127771 (* 0.0909091 = 1.16156e-05 loss) | |
| I0321 19:44:32.988765 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000179216 (* 0.0909091 = 1.62923e-05 loss) | |
| I0321 19:44:32.988778 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000138187 (* 0.0909091 = 1.25625e-05 loss) | |
| I0321 19:44:32.988793 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000154206 (* 0.0909091 = 1.40187e-05 loss) | |
| I0321 19:44:32.988807 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000195799 (* 0.0909091 = 1.77999e-05 loss) | |
| I0321 19:44:32.988822 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:44:32.988834 2639 solver.cpp:245] Train net output #133: total_confidence = 9.01177e-06 | |
| I0321 19:44:32.988847 2639 sgd_solver.cpp:106] Iteration 2100, lr = 0.01 | |
| I0321 19:44:54.962954 2639 solver.cpp:229] Iteration 2200, loss = 3.15785 | |
| I0321 19:44:54.963125 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:44:54.963160 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:44:54.963186 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:44:54.963212 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:44:54.963233 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:44:54.963255 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.125 | |
| I0321 19:44:54.963279 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:44:54.963301 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:44:54.963325 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:44:54.963347 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:44:54.963371 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:44:54.963397 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:44:54.963421 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:44:54.963444 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:44:54.963467 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:44:54.963490 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:44:54.963511 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:44:54.963533 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:44:54.963554 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:44:54.963577 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:44:54.963598 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:44:54.963619 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:44:54.963647 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.81734 (* 0.0272727 = 0.0768366 loss) | |
| I0321 19:44:54.963681 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.28599 (* 0.0272727 = 0.0896179 loss) | |
| I0321 19:44:54.963708 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.59966 (* 0.0272727 = 0.0981726 loss) | |
| I0321 19:44:54.963735 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.62357 (* 0.0272727 = 0.0988247 loss) | |
| I0321 19:44:54.963762 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.23108 (* 0.0272727 = 0.0881204 loss) | |
| I0321 19:44:54.963789 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.52279 (* 0.0272727 = 0.096076 loss) | |
| I0321 19:44:54.963817 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.78854 (* 0.0272727 = 0.0487784 loss) | |
| I0321 19:44:54.963858 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.557542 (* 0.0272727 = 0.0152057 loss) | |
| I0321 19:44:54.963887 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0315647 (* 0.0272727 = 0.000860857 loss) | |
| I0321 19:44:54.963914 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0226948 (* 0.0272727 = 0.00061895 loss) | |
| I0321 19:44:54.963942 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00157067 (* 0.0272727 = 4.28365e-05 loss) | |
| I0321 19:44:54.963970 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00197277 (* 0.0272727 = 5.38028e-05 loss) | |
| I0321 19:44:54.963996 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00198957 (* 0.0272727 = 5.42611e-05 loss) | |
| I0321 19:44:54.964025 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00128305 (* 0.0272727 = 3.49922e-05 loss) | |
| I0321 19:44:54.964076 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.0015176 (* 0.0272727 = 4.13892e-05 loss) | |
| I0321 19:44:54.964109 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00173841 (* 0.0272727 = 4.74112e-05 loss) | |
| I0321 19:44:54.964140 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00205011 (* 0.0272727 = 5.59121e-05 loss) | |
| I0321 19:44:54.964190 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00125858 (* 0.0272727 = 3.4325e-05 loss) | |
| I0321 19:44:54.964220 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00149854 (* 0.0272727 = 4.08693e-05 loss) | |
| I0321 19:44:54.964248 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00208131 (* 0.0272727 = 5.6763e-05 loss) | |
| I0321 19:44:54.964275 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00117741 (* 0.0272727 = 3.21113e-05 loss) | |
| I0321 19:44:54.964303 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00186455 (* 0.0272727 = 5.08512e-05 loss) | |
| I0321 19:44:54.964328 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:44:54.964349 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:44:54.964371 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:44:54.964393 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:44:54.964416 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:44:54.964437 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.125 | |
| I0321 19:44:54.964459 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:44:54.964480 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:44:54.964501 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:44:54.964524 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:44:54.964545 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:44:54.964566 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:44:54.964588 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:44:54.964610 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:44:54.964632 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:44:54.964653 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:44:54.964675 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:44:54.964697 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:44:54.964722 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:44:54.964745 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:44:54.964767 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:44:54.964789 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:44:54.964818 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.95749 (* 0.0272727 = 0.0806589 loss) | |
| I0321 19:44:54.964843 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.36547 (* 0.0272727 = 0.0917855 loss) | |
| I0321 19:44:54.964870 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.40511 (* 0.0272727 = 0.0928666 loss) | |
| I0321 19:44:54.964902 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.55851 (* 0.0272727 = 0.0970502 loss) | |
| I0321 19:44:54.964928 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.79381 (* 0.0272727 = 0.0761948 loss) | |
| I0321 19:44:54.964956 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.44892 (* 0.0272727 = 0.0940613 loss) | |
| I0321 19:44:54.964982 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.43593 (* 0.0272727 = 0.0391617 loss) | |
| I0321 19:44:54.965008 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.525783 (* 0.0272727 = 0.0143395 loss) | |
| I0321 19:44:54.965035 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0318106 (* 0.0272727 = 0.000867561 loss) | |
| I0321 19:44:54.965062 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.01542 (* 0.0272727 = 0.000420545 loss) | |
| I0321 19:44:54.965088 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00126516 (* 0.0272727 = 3.45044e-05 loss) | |
| I0321 19:44:54.965132 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00124871 (* 0.0272727 = 3.40558e-05 loss) | |
| I0321 19:44:54.965162 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000955181 (* 0.0272727 = 2.60504e-05 loss) | |
| I0321 19:44:54.965189 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00108728 (* 0.0272727 = 2.9653e-05 loss) | |
| I0321 19:44:54.965216 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000958306 (* 0.0272727 = 2.61356e-05 loss) | |
| I0321 19:44:54.965243 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.0018954 (* 0.0272727 = 5.16927e-05 loss) | |
| I0321 19:44:54.965271 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00137059 (* 0.0272727 = 3.73798e-05 loss) | |
| I0321 19:44:54.965298 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00134833 (* 0.0272727 = 3.67727e-05 loss) | |
| I0321 19:44:54.965324 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00123161 (* 0.0272727 = 3.35894e-05 loss) | |
| I0321 19:44:54.965351 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00107645 (* 0.0272727 = 2.93578e-05 loss) | |
| I0321 19:44:54.965379 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00114142 (* 0.0272727 = 3.11296e-05 loss) | |
| I0321 19:44:54.965405 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00105096 (* 0.0272727 = 2.86625e-05 loss) | |
| I0321 19:44:54.965427 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:44:54.965451 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:44:54.965472 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:44:54.965492 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:44:54.965514 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:44:54.965536 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.125 | |
| I0321 19:44:54.965559 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:44:54.965580 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:44:54.965602 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:44:54.965625 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:44:54.965646 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:44:54.965667 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:44:54.965688 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:44:54.965710 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:44:54.965733 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:44:54.965754 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:44:54.965780 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:44:54.965802 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:44:54.965824 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:44:54.965847 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:44:54.965867 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:44:54.965889 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:44:54.965916 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.99075 (* 0.0909091 = 0.271886 loss) | |
| I0321 19:44:54.965946 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.26541 (* 0.0909091 = 0.296855 loss) | |
| I0321 19:44:54.965975 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.52479 (* 0.0909091 = 0.320436 loss) | |
| I0321 19:44:54.966002 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.53036 (* 0.0909091 = 0.320942 loss) | |
| I0321 19:44:54.966028 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.02459 (* 0.0909091 = 0.274963 loss) | |
| I0321 19:44:54.966054 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.23347 (* 0.0909091 = 0.293952 loss) | |
| I0321 19:44:54.966097 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.51952 (* 0.0909091 = 0.138138 loss) | |
| I0321 19:44:54.966125 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.616888 (* 0.0909091 = 0.0560808 loss) | |
| I0321 19:44:54.966152 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0346275 (* 0.0909091 = 0.00314796 loss) | |
| I0321 19:44:54.966179 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0123761 (* 0.0909091 = 0.0011251 loss) | |
| I0321 19:44:54.966207 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000202674 (* 0.0909091 = 1.84249e-05 loss) | |
| I0321 19:44:54.966234 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000217535 (* 0.0909091 = 1.97759e-05 loss) | |
| I0321 19:44:54.966262 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00024312 (* 0.0909091 = 2.21019e-05 loss) | |
| I0321 19:44:54.966289 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000201504 (* 0.0909091 = 1.83185e-05 loss) | |
| I0321 19:44:54.966317 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000250381 (* 0.0909091 = 2.27619e-05 loss) | |
| I0321 19:44:54.966347 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000209455 (* 0.0909091 = 1.90414e-05 loss) | |
| I0321 19:44:54.966383 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000208933 (* 0.0909091 = 1.89939e-05 loss) | |
| I0321 19:44:54.966414 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000227375 (* 0.0909091 = 2.06705e-05 loss) | |
| I0321 19:44:54.966442 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000241267 (* 0.0909091 = 2.19333e-05 loss) | |
| I0321 19:44:54.966470 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000237169 (* 0.0909091 = 2.15608e-05 loss) | |
| I0321 19:44:54.966495 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000249417 (* 0.0909091 = 2.26743e-05 loss) | |
| I0321 19:44:54.966523 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000313616 (* 0.0909091 = 2.85105e-05 loss) | |
| I0321 19:44:54.966547 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:44:54.966567 2639 solver.cpp:245] Train net output #133: total_confidence = 1.56251e-05 | |
| I0321 19:44:54.966588 2639 sgd_solver.cpp:106] Iteration 2200, lr = 0.01 | |
| I0321 19:45:16.748286 2639 solver.cpp:229] Iteration 2300, loss = 3.02028 | |
| I0321 19:45:16.748342 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:45:16.748360 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:45:16.748374 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:45:16.748386 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:45:16.748399 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.5 | |
| I0321 19:45:16.748411 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:45:16.748424 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:45:16.748435 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:45:16.748447 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:45:16.748459 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:45:16.748471 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:45:16.748482 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:45:16.748494 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:45:16.748507 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:45:16.748517 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:45:16.748529 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:45:16.748541 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:45:16.748553 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:45:16.748591 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:45:16.748612 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:45:16.748625 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:45:16.748637 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:45:16.748653 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.45556 (* 0.0272727 = 0.0669698 loss) | |
| I0321 19:45:16.748668 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.67344 (* 0.0272727 = 0.072912 loss) | |
| I0321 19:45:16.748683 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.08559 (* 0.0272727 = 0.0841525 loss) | |
| I0321 19:45:16.748697 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.9769 (* 0.0272727 = 0.0811882 loss) | |
| I0321 19:45:16.748713 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.3596 (* 0.0272727 = 0.0643526 loss) | |
| I0321 19:45:16.748726 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.83641 (* 0.0272727 = 0.0773566 loss) | |
| I0321 19:45:16.748740 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.34879 (* 0.0272727 = 0.0367853 loss) | |
| I0321 19:45:16.748759 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.112007 (* 0.0272727 = 0.00305474 loss) | |
| I0321 19:45:16.748774 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.03151 (* 0.0272727 = 0.000859364 loss) | |
| I0321 19:45:16.748787 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00727268 (* 0.0272727 = 0.000198346 loss) | |
| I0321 19:45:16.748802 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000689821 (* 0.0272727 = 1.88133e-05 loss) | |
| I0321 19:45:16.748816 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000993165 (* 0.0272727 = 2.70863e-05 loss) | |
| I0321 19:45:16.748831 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000646444 (* 0.0272727 = 1.76303e-05 loss) | |
| I0321 19:45:16.748847 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000825578 (* 0.0272727 = 2.25158e-05 loss) | |
| I0321 19:45:16.748860 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000941245 (* 0.0272727 = 2.56703e-05 loss) | |
| I0321 19:45:16.748875 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000572689 (* 0.0272727 = 1.56188e-05 loss) | |
| I0321 19:45:16.748889 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000611842 (* 0.0272727 = 1.66866e-05 loss) | |
| I0321 19:45:16.748903 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00064675 (* 0.0272727 = 1.76386e-05 loss) | |
| I0321 19:45:16.748919 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000634653 (* 0.0272727 = 1.73087e-05 loss) | |
| I0321 19:45:16.748932 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000790459 (* 0.0272727 = 2.1558e-05 loss) | |
| I0321 19:45:16.748947 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000679965 (* 0.0272727 = 1.85445e-05 loss) | |
| I0321 19:45:16.748961 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000862271 (* 0.0272727 = 2.35165e-05 loss) | |
| I0321 19:45:16.748975 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:45:16.748986 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:45:16.748998 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:45:16.749011 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:45:16.749022 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:45:16.749034 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:45:16.749047 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:45:16.749058 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:45:16.749069 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:45:16.749081 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:45:16.749104 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:45:16.749116 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:45:16.749128 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:45:16.749140 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:45:16.749155 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:45:16.749167 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:45:16.749178 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:45:16.749186 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:45:16.749198 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:45:16.749210 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:45:16.749222 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:45:16.749233 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:45:16.749255 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.21055 (* 0.0272727 = 0.0602877 loss) | |
| I0321 19:45:16.749269 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.84564 (* 0.0272727 = 0.0776083 loss) | |
| I0321 19:45:16.749284 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.05351 (* 0.0272727 = 0.0832776 loss) | |
| I0321 19:45:16.749299 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.97853 (* 0.0272727 = 0.0812325 loss) | |
| I0321 19:45:16.749312 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.53246 (* 0.0272727 = 0.069067 loss) | |
| I0321 19:45:16.749327 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.70481 (* 0.0272727 = 0.0737675 loss) | |
| I0321 19:45:16.749341 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.11998 (* 0.0272727 = 0.0305448 loss) | |
| I0321 19:45:16.749356 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.117197 (* 0.0272727 = 0.00319629 loss) | |
| I0321 19:45:16.749371 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0191759 (* 0.0272727 = 0.000522978 loss) | |
| I0321 19:45:16.749384 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00922391 (* 0.0272727 = 0.000251561 loss) | |
| I0321 19:45:16.749399 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000823911 (* 0.0272727 = 2.24703e-05 loss) | |
| I0321 19:45:16.749413 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000880946 (* 0.0272727 = 2.40258e-05 loss) | |
| I0321 19:45:16.749428 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00101283 (* 0.0272727 = 2.76226e-05 loss) | |
| I0321 19:45:16.749442 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000776481 (* 0.0272727 = 2.11767e-05 loss) | |
| I0321 19:45:16.749456 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000922658 (* 0.0272727 = 2.51634e-05 loss) | |
| I0321 19:45:16.749471 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000717621 (* 0.0272727 = 1.95715e-05 loss) | |
| I0321 19:45:16.749485 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000978031 (* 0.0272727 = 2.66736e-05 loss) | |
| I0321 19:45:16.749500 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.0010041 (* 0.0272727 = 2.73845e-05 loss) | |
| I0321 19:45:16.749514 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00082852 (* 0.0272727 = 2.2596e-05 loss) | |
| I0321 19:45:16.749528 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000836147 (* 0.0272727 = 2.2804e-05 loss) | |
| I0321 19:45:16.749543 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00127857 (* 0.0272727 = 3.48702e-05 loss) | |
| I0321 19:45:16.749558 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000983867 (* 0.0272727 = 2.68327e-05 loss) | |
| I0321 19:45:16.749570 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:45:16.749583 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:45:16.749605 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:45:16.749619 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:45:16.749630 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.5 | |
| I0321 19:45:16.749642 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:45:16.749655 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:45:16.749665 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:45:16.749677 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:45:16.749688 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:45:16.749699 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:45:16.749711 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:45:16.749722 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:45:16.749734 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:45:16.749745 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:45:16.749757 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:45:16.749768 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:45:16.749779 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:45:16.749791 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:45:16.749805 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:45:16.749817 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:45:16.749830 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:45:16.749843 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.43589 (* 0.0909091 = 0.221444 loss) | |
| I0321 19:45:16.749857 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.74275 (* 0.0909091 = 0.249341 loss) | |
| I0321 19:45:16.749871 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.09894 (* 0.0909091 = 0.281722 loss) | |
| I0321 19:45:16.749886 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.33548 (* 0.0909091 = 0.303225 loss) | |
| I0321 19:45:16.749899 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.25478 (* 0.0909091 = 0.20498 loss) | |
| I0321 19:45:16.749913 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.76087 (* 0.0909091 = 0.250988 loss) | |
| I0321 19:45:16.749927 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.21291 (* 0.0909091 = 0.110264 loss) | |
| I0321 19:45:16.749941 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0769437 (* 0.0909091 = 0.00699488 loss) | |
| I0321 19:45:16.749955 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0178313 (* 0.0909091 = 0.00162103 loss) | |
| I0321 19:45:16.749970 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0060587 (* 0.0909091 = 0.000550791 loss) | |
| I0321 19:45:16.749984 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000213639 (* 0.0909091 = 1.94217e-05 loss) | |
| I0321 19:45:16.750000 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.00034485 (* 0.0909091 = 3.135e-05 loss) | |
| I0321 19:45:16.750013 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000364287 (* 0.0909091 = 3.3117e-05 loss) | |
| I0321 19:45:16.750028 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000241989 (* 0.0909091 = 2.1999e-05 loss) | |
| I0321 19:45:16.750042 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00044824 (* 0.0909091 = 4.0749e-05 loss) | |
| I0321 19:45:16.750057 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000270703 (* 0.0909091 = 2.46094e-05 loss) | |
| I0321 19:45:16.750072 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00027504 (* 0.0909091 = 2.50037e-05 loss) | |
| I0321 19:45:16.750087 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000308639 (* 0.0909091 = 2.80581e-05 loss) | |
| I0321 19:45:16.750111 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000340528 (* 0.0909091 = 3.09571e-05 loss) | |
| I0321 19:45:16.750128 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000271956 (* 0.0909091 = 2.47233e-05 loss) | |
| I0321 19:45:16.750141 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000274246 (* 0.0909091 = 2.49314e-05 loss) | |
| I0321 19:45:16.750155 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000458428 (* 0.0909091 = 4.16753e-05 loss) | |
| I0321 19:45:16.750169 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:45:16.750180 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000497741 | |
| I0321 19:45:16.750192 2639 sgd_solver.cpp:106] Iteration 2300, lr = 0.01 | |
| I0321 19:45:38.571074 2639 solver.cpp:229] Iteration 2400, loss = 3.0598 | |
| I0321 19:45:38.571209 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:45:38.571240 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:45:38.571265 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:45:38.571288 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:45:38.571310 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:45:38.571332 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:45:38.571355 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:45:38.571382 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:45:38.571404 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:45:38.571427 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:45:38.571449 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:45:38.571471 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:45:38.571493 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:45:38.571516 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:45:38.571537 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:45:38.571559 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:45:38.571580 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:45:38.571604 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:45:38.571624 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:45:38.571646 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:45:38.571673 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:45:38.571696 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:45:38.571724 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.75197 (* 0.0272727 = 0.0750537 loss) | |
| I0321 19:45:38.571753 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.80096 (* 0.0272727 = 0.0763898 loss) | |
| I0321 19:45:38.571780 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.0651 (* 0.0272727 = 0.0835936 loss) | |
| I0321 19:45:38.571806 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.72279 (* 0.0272727 = 0.0742579 loss) | |
| I0321 19:45:38.571833 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.21501 (* 0.0272727 = 0.0604092 loss) | |
| I0321 19:45:38.571862 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.06625 (* 0.0272727 = 0.0563523 loss) | |
| I0321 19:45:38.571892 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.885439 (* 0.0272727 = 0.0241483 loss) | |
| I0321 19:45:38.571923 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.45459 (* 0.0272727 = 0.0123979 loss) | |
| I0321 19:45:38.571950 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.758578 (* 0.0272727 = 0.0206885 loss) | |
| I0321 19:45:38.571979 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0121281 (* 0.0272727 = 0.000330766 loss) | |
| I0321 19:45:38.572006 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000637335 (* 0.0272727 = 1.73819e-05 loss) | |
| I0321 19:45:38.572034 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000541029 (* 0.0272727 = 1.47553e-05 loss) | |
| I0321 19:45:38.572089 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000575788 (* 0.0272727 = 1.57033e-05 loss) | |
| I0321 19:45:38.572121 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000586973 (* 0.0272727 = 1.60084e-05 loss) | |
| I0321 19:45:38.572149 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000514949 (* 0.0272727 = 1.40441e-05 loss) | |
| I0321 19:45:38.572176 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.0007279 (* 0.0272727 = 1.98518e-05 loss) | |
| I0321 19:45:38.572204 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000547062 (* 0.0272727 = 1.49199e-05 loss) | |
| I0321 19:45:38.572262 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000539094 (* 0.0272727 = 1.47026e-05 loss) | |
| I0321 19:45:38.572290 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000736473 (* 0.0272727 = 2.00856e-05 loss) | |
| I0321 19:45:38.572317 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000595486 (* 0.0272727 = 1.62405e-05 loss) | |
| I0321 19:45:38.572345 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000496309 (* 0.0272727 = 1.35357e-05 loss) | |
| I0321 19:45:38.572371 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000523175 (* 0.0272727 = 1.42684e-05 loss) | |
| I0321 19:45:38.572394 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.375 | |
| I0321 19:45:38.572417 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.25 | |
| I0321 19:45:38.572440 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:45:38.572461 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.375 | |
| I0321 19:45:38.572484 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:45:38.572506 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:45:38.572528 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:45:38.572551 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:45:38.572573 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:45:38.572595 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:45:38.572618 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:45:38.572641 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:45:38.572662 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:45:38.572684 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:45:38.572706 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:45:38.572732 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:45:38.572756 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:45:38.572777 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:45:38.572799 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:45:38.572820 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:45:38.572842 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:45:38.572865 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:45:38.572890 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.65328 (* 0.0272727 = 0.0723623 loss) | |
| I0321 19:45:38.572917 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.7084 (* 0.0272727 = 0.0738655 loss) | |
| I0321 19:45:38.572943 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.21758 (* 0.0272727 = 0.0877522 loss) | |
| I0321 19:45:38.572968 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.69943 (* 0.0272727 = 0.0736209 loss) | |
| I0321 19:45:38.572996 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.02592 (* 0.0272727 = 0.0552523 loss) | |
| I0321 19:45:38.573022 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.16447 (* 0.0272727 = 0.059031 loss) | |
| I0321 19:45:38.573050 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.79876 (* 0.0272727 = 0.0217844 loss) | |
| I0321 19:45:38.573076 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.425214 (* 0.0272727 = 0.0115967 loss) | |
| I0321 19:45:38.573103 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.639438 (* 0.0272727 = 0.0174392 loss) | |
| I0321 19:45:38.573132 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0201046 (* 0.0272727 = 0.000548308 loss) | |
| I0321 19:45:38.573156 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000593936 (* 0.0272727 = 1.61983e-05 loss) | |
| I0321 19:45:38.573201 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000530391 (* 0.0272727 = 1.44652e-05 loss) | |
| I0321 19:45:38.573230 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000522812 (* 0.0272727 = 1.42585e-05 loss) | |
| I0321 19:45:38.573257 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000547219 (* 0.0272727 = 1.49242e-05 loss) | |
| I0321 19:45:38.573288 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000619808 (* 0.0272727 = 1.69039e-05 loss) | |
| I0321 19:45:38.573318 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000615289 (* 0.0272727 = 1.67806e-05 loss) | |
| I0321 19:45:38.573345 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000501384 (* 0.0272727 = 1.36741e-05 loss) | |
| I0321 19:45:38.573372 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000559986 (* 0.0272727 = 1.52723e-05 loss) | |
| I0321 19:45:38.573400 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000475993 (* 0.0272727 = 1.29816e-05 loss) | |
| I0321 19:45:38.573426 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000511285 (* 0.0272727 = 1.39441e-05 loss) | |
| I0321 19:45:38.573452 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000549768 (* 0.0272727 = 1.49937e-05 loss) | |
| I0321 19:45:38.573480 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00056273 (* 0.0272727 = 1.53472e-05 loss) | |
| I0321 19:45:38.573503 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:45:38.573526 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:45:38.573549 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:45:38.573571 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:45:38.573593 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:45:38.573617 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:45:38.573642 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:45:38.573657 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:45:38.573684 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:45:38.573707 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:45:38.573730 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:45:38.573751 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:45:38.573777 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:45:38.573799 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:45:38.573822 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:45:38.573843 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:45:38.573863 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:45:38.573884 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:45:38.573906 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:45:38.573927 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:45:38.573948 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:45:38.573971 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:45:38.573997 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.72837 (* 0.0909091 = 0.248034 loss) | |
| I0321 19:45:38.574024 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.78535 (* 0.0909091 = 0.253214 loss) | |
| I0321 19:45:38.574051 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.34187 (* 0.0909091 = 0.303807 loss) | |
| I0321 19:45:38.574079 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.71739 (* 0.0909091 = 0.247035 loss) | |
| I0321 19:45:38.574105 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 1.98112 (* 0.0909091 = 0.180102 loss) | |
| I0321 19:45:38.574148 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.00159 (* 0.0909091 = 0.181963 loss) | |
| I0321 19:45:38.574177 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.795236 (* 0.0909091 = 0.0722942 loss) | |
| I0321 19:45:38.574203 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.510232 (* 0.0909091 = 0.0463848 loss) | |
| I0321 19:45:38.574229 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.609398 (* 0.0909091 = 0.0553998 loss) | |
| I0321 19:45:38.574255 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0168197 (* 0.0909091 = 0.00152907 loss) | |
| I0321 19:45:38.574282 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000212181 (* 0.0909091 = 1.92892e-05 loss) | |
| I0321 19:45:38.574308 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000405707 (* 0.0909091 = 3.68824e-05 loss) | |
| I0321 19:45:38.574340 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000387335 (* 0.0909091 = 3.52123e-05 loss) | |
| I0321 19:45:38.574369 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000301238 (* 0.0909091 = 2.73852e-05 loss) | |
| I0321 19:45:38.574395 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000367811 (* 0.0909091 = 3.34373e-05 loss) | |
| I0321 19:45:38.574422 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000264407 (* 0.0909091 = 2.4037e-05 loss) | |
| I0321 19:45:38.574450 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000313587 (* 0.0909091 = 2.85079e-05 loss) | |
| I0321 19:45:38.574476 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000343371 (* 0.0909091 = 3.12156e-05 loss) | |
| I0321 19:45:38.574502 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000413832 (* 0.0909091 = 3.76211e-05 loss) | |
| I0321 19:45:38.574529 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000284543 (* 0.0909091 = 2.58676e-05 loss) | |
| I0321 19:45:38.574555 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000290792 (* 0.0909091 = 2.64356e-05 loss) | |
| I0321 19:45:38.574581 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000446287 (* 0.0909091 = 4.05716e-05 loss) | |
| I0321 19:45:38.574604 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:45:38.574627 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000398238 | |
| I0321 19:45:38.574648 2639 sgd_solver.cpp:106] Iteration 2400, lr = 0.01 | |
| I0321 19:46:00.566893 2639 solver.cpp:229] Iteration 2500, loss = 3.02528 | |
| I0321 19:46:00.566948 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:46:00.566964 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:46:00.566977 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:46:00.566989 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:46:00.567003 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:46:00.567014 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:46:00.567026 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:46:00.567039 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:46:00.567051 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:46:00.567064 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:46:00.567075 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:46:00.567087 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:46:00.567098 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:46:00.567111 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:46:00.567123 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:46:00.567134 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:46:00.567147 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:46:00.567195 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:46:00.567209 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:46:00.567221 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:46:00.567234 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:46:00.567245 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:46:00.567262 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.56708 (* 0.0272727 = 0.097284 loss) | |
| I0321 19:46:00.567277 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.3665 (* 0.0272727 = 0.0918136 loss) | |
| I0321 19:46:00.567292 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.16741 (* 0.0272727 = 0.0863838 loss) | |
| I0321 19:46:00.567306 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.44185 (* 0.0272727 = 0.0938686 loss) | |
| I0321 19:46:00.567322 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.73917 (* 0.0272727 = 0.0747046 loss) | |
| I0321 19:46:00.567335 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.45297 (* 0.0272727 = 0.0668991 loss) | |
| I0321 19:46:00.567349 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.39581 (* 0.0272727 = 0.0380675 loss) | |
| I0321 19:46:00.567364 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.621753 (* 0.0272727 = 0.0169569 loss) | |
| I0321 19:46:00.567378 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.926521 (* 0.0272727 = 0.0252687 loss) | |
| I0321 19:46:00.567394 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0126856 (* 0.0272727 = 0.00034597 loss) | |
| I0321 19:46:00.567409 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00162824 (* 0.0272727 = 4.44066e-05 loss) | |
| I0321 19:46:00.567425 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00185373 (* 0.0272727 = 5.05562e-05 loss) | |
| I0321 19:46:00.567440 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00176615 (* 0.0272727 = 4.81678e-05 loss) | |
| I0321 19:46:00.567453 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00267124 (* 0.0272727 = 7.28519e-05 loss) | |
| I0321 19:46:00.567471 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00171329 (* 0.0272727 = 4.6726e-05 loss) | |
| I0321 19:46:00.567487 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00361354 (* 0.0272727 = 9.85511e-05 loss) | |
| I0321 19:46:00.567502 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000842414 (* 0.0272727 = 2.29749e-05 loss) | |
| I0321 19:46:00.567517 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00311316 (* 0.0272727 = 8.49042e-05 loss) | |
| I0321 19:46:00.567531 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00141847 (* 0.0272727 = 3.86854e-05 loss) | |
| I0321 19:46:00.567545 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00166087 (* 0.0272727 = 4.52966e-05 loss) | |
| I0321 19:46:00.567560 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00198296 (* 0.0272727 = 5.40807e-05 loss) | |
| I0321 19:46:00.567575 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00259686 (* 0.0272727 = 7.08235e-05 loss) | |
| I0321 19:46:00.567589 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:46:00.567600 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:46:00.567612 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:46:00.567625 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:46:00.567636 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:46:00.567648 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:46:00.567661 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:46:00.567672 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:46:00.567684 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:46:00.567706 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:46:00.567720 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:46:00.567731 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:46:00.567744 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:46:00.567754 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:46:00.567769 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:46:00.567781 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:46:00.567793 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:46:00.567805 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:46:00.567816 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:46:00.567828 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:46:00.567841 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:46:00.567852 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:46:00.567865 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.61605 (* 0.0272727 = 0.0986196 loss) | |
| I0321 19:46:00.567880 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.44471 (* 0.0272727 = 0.0939465 loss) | |
| I0321 19:46:00.567894 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.09911 (* 0.0272727 = 0.0845211 loss) | |
| I0321 19:46:00.567909 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.43025 (* 0.0272727 = 0.0935524 loss) | |
| I0321 19:46:00.567924 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.67269 (* 0.0272727 = 0.0728914 loss) | |
| I0321 19:46:00.567937 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.5814 (* 0.0272727 = 0.0704017 loss) | |
| I0321 19:46:00.567951 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.10128 (* 0.0272727 = 0.0300348 loss) | |
| I0321 19:46:00.567965 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.411443 (* 0.0272727 = 0.0112212 loss) | |
| I0321 19:46:00.567980 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.676089 (* 0.0272727 = 0.0184388 loss) | |
| I0321 19:46:00.567994 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00579027 (* 0.0272727 = 0.000157916 loss) | |
| I0321 19:46:00.568009 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000874453 (* 0.0272727 = 2.38487e-05 loss) | |
| I0321 19:46:00.568023 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000581543 (* 0.0272727 = 1.58603e-05 loss) | |
| I0321 19:46:00.568038 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000706782 (* 0.0272727 = 1.92759e-05 loss) | |
| I0321 19:46:00.568074 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000633901 (* 0.0272727 = 1.72882e-05 loss) | |
| I0321 19:46:00.568091 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000624121 (* 0.0272727 = 1.70215e-05 loss) | |
| I0321 19:46:00.568106 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000639045 (* 0.0272727 = 1.74285e-05 loss) | |
| I0321 19:46:00.568121 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000788491 (* 0.0272727 = 2.15043e-05 loss) | |
| I0321 19:46:00.568135 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00047413 (* 0.0272727 = 1.29308e-05 loss) | |
| I0321 19:46:00.568150 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00048107 (* 0.0272727 = 1.31201e-05 loss) | |
| I0321 19:46:00.568166 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000457504 (* 0.0272727 = 1.24774e-05 loss) | |
| I0321 19:46:00.568179 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000669113 (* 0.0272727 = 1.82485e-05 loss) | |
| I0321 19:46:00.568194 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000576528 (* 0.0272727 = 1.57235e-05 loss) | |
| I0321 19:46:00.568207 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:46:00.568231 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:46:00.568244 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:46:00.568256 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:46:00.568269 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:46:00.568280 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:46:00.568294 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:46:00.568305 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:46:00.568316 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:46:00.568328 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:46:00.568341 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:46:00.568352 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:46:00.568364 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:46:00.568375 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:46:00.568387 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:46:00.568398 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:46:00.568410 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:46:00.568423 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:46:00.568434 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:46:00.568445 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:46:00.568457 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:46:00.568469 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:46:00.568483 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.52766 (* 0.0909091 = 0.320696 loss) | |
| I0321 19:46:00.568497 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.27566 (* 0.0909091 = 0.297787 loss) | |
| I0321 19:46:00.568511 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.20471 (* 0.0909091 = 0.291337 loss) | |
| I0321 19:46:00.568531 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.26376 (* 0.0909091 = 0.296705 loss) | |
| I0321 19:46:00.568544 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.67444 (* 0.0909091 = 0.243131 loss) | |
| I0321 19:46:00.568559 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.30102 (* 0.0909091 = 0.209184 loss) | |
| I0321 19:46:00.568573 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.31863 (* 0.0909091 = 0.119875 loss) | |
| I0321 19:46:00.568588 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.447456 (* 0.0909091 = 0.0406778 loss) | |
| I0321 19:46:00.568603 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.56697 (* 0.0909091 = 0.0515427 loss) | |
| I0321 19:46:00.568616 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00752292 (* 0.0909091 = 0.000683902 loss) | |
| I0321 19:46:00.568632 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000148939 (* 0.0909091 = 1.35399e-05 loss) | |
| I0321 19:46:00.568646 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000116421 (* 0.0909091 = 1.05837e-05 loss) | |
| I0321 19:46:00.568661 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000137767 (* 0.0909091 = 1.25242e-05 loss) | |
| I0321 19:46:00.568675 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000150863 (* 0.0909091 = 1.37149e-05 loss) | |
| I0321 19:46:00.568691 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000102158 (* 0.0909091 = 9.28712e-06 loss) | |
| I0321 19:46:00.568704 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000141568 (* 0.0909091 = 1.28698e-05 loss) | |
| I0321 19:46:00.568719 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000131463 (* 0.0909091 = 1.19512e-05 loss) | |
| I0321 19:46:00.568744 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000140102 (* 0.0909091 = 1.27365e-05 loss) | |
| I0321 19:46:00.568760 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000120596 (* 0.0909091 = 1.09633e-05 loss) | |
| I0321 19:46:00.568775 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000136575 (* 0.0909091 = 1.24159e-05 loss) | |
| I0321 19:46:00.568789 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000131185 (* 0.0909091 = 1.19259e-05 loss) | |
| I0321 19:46:00.568804 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000124098 (* 0.0909091 = 1.12816e-05 loss) | |
| I0321 19:46:00.568819 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:46:00.568831 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000216106 | |
| I0321 19:46:00.568845 2639 sgd_solver.cpp:106] Iteration 2500, lr = 0.01 | |
| I0321 19:46:22.399523 2639 solver.cpp:229] Iteration 2600, loss = 3.10069 | |
| I0321 19:46:22.399646 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:46:22.399667 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.375 | |
| I0321 19:46:22.399680 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:46:22.399694 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:46:22.399713 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:46:22.399725 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:46:22.399737 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:46:22.399749 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:46:22.399761 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:46:22.399773 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:46:22.399785 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:46:22.399797 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:46:22.399808 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:46:22.399821 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:46:22.399832 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:46:22.399843 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:46:22.399854 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:46:22.399866 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:46:22.399878 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:46:22.399890 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:46:22.399902 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:46:22.399914 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:46:22.399930 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.7813 (* 0.0272727 = 0.0758537 loss) | |
| I0321 19:46:22.399945 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.87895 (* 0.0272727 = 0.0785167 loss) | |
| I0321 19:46:22.399960 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.40619 (* 0.0272727 = 0.0928961 loss) | |
| I0321 19:46:22.399973 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.51187 (* 0.0272727 = 0.0957783 loss) | |
| I0321 19:46:22.399988 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.3359 (* 0.0272727 = 0.0909792 loss) | |
| I0321 19:46:22.400002 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.0467 (* 0.0272727 = 0.0830919 loss) | |
| I0321 19:46:22.400017 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.808382 (* 0.0272727 = 0.0220468 loss) | |
| I0321 19:46:22.400032 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.116253 (* 0.0272727 = 0.00317053 loss) | |
| I0321 19:46:22.400046 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0329757 (* 0.0272727 = 0.000899336 loss) | |
| I0321 19:46:22.400084 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0135804 (* 0.0272727 = 0.000370376 loss) | |
| I0321 19:46:22.400100 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000733005 (* 0.0272727 = 1.99911e-05 loss) | |
| I0321 19:46:22.400115 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00114345 (* 0.0272727 = 3.11849e-05 loss) | |
| I0321 19:46:22.400130 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000919129 (* 0.0272727 = 2.50672e-05 loss) | |
| I0321 19:46:22.400146 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000863232 (* 0.0272727 = 2.35427e-05 loss) | |
| I0321 19:46:22.400159 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00125921 (* 0.0272727 = 3.43421e-05 loss) | |
| I0321 19:46:22.400174 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000879874 (* 0.0272727 = 2.39966e-05 loss) | |
| I0321 19:46:22.400189 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000994452 (* 0.0272727 = 2.71214e-05 loss) | |
| I0321 19:46:22.400221 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000765976 (* 0.0272727 = 2.08903e-05 loss) | |
| I0321 19:46:22.400238 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00105293 (* 0.0272727 = 2.87162e-05 loss) | |
| I0321 19:46:22.400252 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00116947 (* 0.0272727 = 3.18946e-05 loss) | |
| I0321 19:46:22.400267 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00106344 (* 0.0272727 = 2.90029e-05 loss) | |
| I0321 19:46:22.400282 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000763742 (* 0.0272727 = 2.08293e-05 loss) | |
| I0321 19:46:22.400295 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:46:22.400307 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:46:22.400320 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:46:22.400331 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:46:22.400343 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:46:22.400355 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:46:22.400367 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:46:22.400379 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:46:22.400390 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:46:22.400403 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:46:22.400413 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:46:22.400425 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:46:22.400436 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:46:22.400449 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:46:22.400460 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:46:22.400471 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:46:22.400483 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:46:22.400495 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:46:22.400506 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:46:22.400517 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:46:22.400528 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:46:22.400540 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:46:22.400554 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.56474 (* 0.0272727 = 0.0699474 loss) | |
| I0321 19:46:22.400568 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.79966 (* 0.0272727 = 0.0763544 loss) | |
| I0321 19:46:22.400583 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.38219 (* 0.0272727 = 0.0922416 loss) | |
| I0321 19:46:22.400598 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.61521 (* 0.0272727 = 0.0985966 loss) | |
| I0321 19:46:22.400611 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.57669 (* 0.0272727 = 0.0975462 loss) | |
| I0321 19:46:22.400625 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.81637 (* 0.0272727 = 0.0768101 loss) | |
| I0321 19:46:22.400640 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.789028 (* 0.0272727 = 0.0215189 loss) | |
| I0321 19:46:22.400655 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.107589 (* 0.0272727 = 0.00293425 loss) | |
| I0321 19:46:22.400672 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0385988 (* 0.0272727 = 0.00105269 loss) | |
| I0321 19:46:22.400687 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0196966 (* 0.0272727 = 0.000537181 loss) | |
| I0321 19:46:22.400702 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00140021 (* 0.0272727 = 3.81876e-05 loss) | |
| I0321 19:46:22.400729 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00111032 (* 0.0272727 = 3.02815e-05 loss) | |
| I0321 19:46:22.400745 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00104338 (* 0.0272727 = 2.84558e-05 loss) | |
| I0321 19:46:22.400760 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00130769 (* 0.0272727 = 3.56643e-05 loss) | |
| I0321 19:46:22.400774 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00137552 (* 0.0272727 = 3.75141e-05 loss) | |
| I0321 19:46:22.400789 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00104869 (* 0.0272727 = 2.86007e-05 loss) | |
| I0321 19:46:22.400804 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000973244 (* 0.0272727 = 2.6543e-05 loss) | |
| I0321 19:46:22.400820 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00192606 (* 0.0272727 = 5.25289e-05 loss) | |
| I0321 19:46:22.400833 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.0013129 (* 0.0272727 = 3.58063e-05 loss) | |
| I0321 19:46:22.400848 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00102663 (* 0.0272727 = 2.79989e-05 loss) | |
| I0321 19:46:22.400862 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00091062 (* 0.0272727 = 2.48351e-05 loss) | |
| I0321 19:46:22.400877 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00130637 (* 0.0272727 = 3.56281e-05 loss) | |
| I0321 19:46:22.400889 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:46:22.400902 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:46:22.400913 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:46:22.400925 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:46:22.400938 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0 | |
| I0321 19:46:22.400949 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:46:22.400961 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:46:22.400972 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:46:22.400985 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:46:22.400995 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:46:22.401007 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:46:22.401018 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:46:22.401031 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:46:22.401041 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:46:22.401053 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:46:22.401065 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:46:22.401077 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:46:22.401087 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:46:22.401099 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:46:22.401113 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:46:22.401127 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:46:22.401139 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:46:22.401154 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.8832 (* 0.0909091 = 0.262109 loss) | |
| I0321 19:46:22.401167 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.97509 (* 0.0909091 = 0.270462 loss) | |
| I0321 19:46:22.401182 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.45824 (* 0.0909091 = 0.314385 loss) | |
| I0321 19:46:22.401197 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.40304 (* 0.0909091 = 0.309368 loss) | |
| I0321 19:46:22.401211 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.32701 (* 0.0909091 = 0.302456 loss) | |
| I0321 19:46:22.401237 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.83858 (* 0.0909091 = 0.258053 loss) | |
| I0321 19:46:22.401252 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.823573 (* 0.0909091 = 0.0748703 loss) | |
| I0321 19:46:22.401267 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0975162 (* 0.0909091 = 0.00886511 loss) | |
| I0321 19:46:22.401280 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0334647 (* 0.0909091 = 0.00304225 loss) | |
| I0321 19:46:22.401295 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0169407 (* 0.0909091 = 0.00154006 loss) | |
| I0321 19:46:22.401310 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000712099 (* 0.0909091 = 6.47363e-05 loss) | |
| I0321 19:46:22.401325 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000816909 (* 0.0909091 = 7.42645e-05 loss) | |
| I0321 19:46:22.401340 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00106495 (* 0.0909091 = 9.68136e-05 loss) | |
| I0321 19:46:22.401355 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.0007823 (* 0.0909091 = 7.11182e-05 loss) | |
| I0321 19:46:22.401368 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00115283 (* 0.0909091 = 0.000104803 loss) | |
| I0321 19:46:22.401383 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000750737 (* 0.0909091 = 6.82488e-05 loss) | |
| I0321 19:46:22.401397 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00104472 (* 0.0909091 = 9.49746e-05 loss) | |
| I0321 19:46:22.401412 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000783377 (* 0.0909091 = 7.12161e-05 loss) | |
| I0321 19:46:22.401427 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00100826 (* 0.0909091 = 9.16602e-05 loss) | |
| I0321 19:46:22.401442 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000834763 (* 0.0909091 = 7.58875e-05 loss) | |
| I0321 19:46:22.401455 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00119735 (* 0.0909091 = 0.00010885 loss) | |
| I0321 19:46:22.401469 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00124144 (* 0.0909091 = 0.000112858 loss) | |
| I0321 19:46:22.401482 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:46:22.401494 2639 solver.cpp:245] Train net output #133: total_confidence = 2.60026e-05 | |
| I0321 19:46:22.401507 2639 sgd_solver.cpp:106] Iteration 2600, lr = 0.01 | |
| I0321 19:46:44.314782 2639 solver.cpp:229] Iteration 2700, loss = 3.04393 | |
| I0321 19:46:44.314844 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:46:44.314873 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:46:44.314898 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:46:44.314920 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:46:44.314944 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:46:44.314970 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:46:44.314996 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:46:44.315019 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:46:44.315047 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:46:44.315070 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:46:44.315093 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:46:44.315114 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:46:44.315135 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:46:44.315157 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:46:44.315179 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:46:44.315206 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:46:44.315227 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:46:44.315294 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:46:44.315318 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:46:44.315341 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:46:44.315362 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:46:44.315383 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:46:44.315412 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.68389 (* 0.0272727 = 0.10047 loss) | |
| I0321 19:46:44.315440 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.45519 (* 0.0272727 = 0.121505 loss) | |
| I0321 19:46:44.315467 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.71714 (* 0.0272727 = 0.101377 loss) | |
| I0321 19:46:44.315495 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.25391 (* 0.0272727 = 0.0887429 loss) | |
| I0321 19:46:44.315520 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.68963 (* 0.0272727 = 0.100626 loss) | |
| I0321 19:46:44.315546 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.41893 (* 0.0272727 = 0.0659707 loss) | |
| I0321 19:46:44.315573 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.44536 (* 0.0272727 = 0.039419 loss) | |
| I0321 19:46:44.315601 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.473449 (* 0.0272727 = 0.0129122 loss) | |
| I0321 19:46:44.315631 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0875001 (* 0.0272727 = 0.00238637 loss) | |
| I0321 19:46:44.315665 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0123188 (* 0.0272727 = 0.000335967 loss) | |
| I0321 19:46:44.315695 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000941796 (* 0.0272727 = 2.56854e-05 loss) | |
| I0321 19:46:44.315721 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00116291 (* 0.0272727 = 3.17156e-05 loss) | |
| I0321 19:46:44.315749 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000841108 (* 0.0272727 = 2.29393e-05 loss) | |
| I0321 19:46:44.315780 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00158838 (* 0.0272727 = 4.33195e-05 loss) | |
| I0321 19:46:44.315809 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00122441 (* 0.0272727 = 3.3393e-05 loss) | |
| I0321 19:46:44.315834 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000880317 (* 0.0272727 = 2.40086e-05 loss) | |
| I0321 19:46:44.315861 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000777 (* 0.0272727 = 2.11909e-05 loss) | |
| I0321 19:46:44.315889 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.0011114 (* 0.0272727 = 3.0311e-05 loss) | |
| I0321 19:46:44.315919 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00161088 (* 0.0272727 = 4.3933e-05 loss) | |
| I0321 19:46:44.315946 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000795855 (* 0.0272727 = 2.17051e-05 loss) | |
| I0321 19:46:44.315982 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000972722 (* 0.0272727 = 2.65288e-05 loss) | |
| I0321 19:46:44.316009 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000981788 (* 0.0272727 = 2.6776e-05 loss) | |
| I0321 19:46:44.316033 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:46:44.316082 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:46:44.316109 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:46:44.316133 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:46:44.316154 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:46:44.316176 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:46:44.316200 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:46:44.316229 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:46:44.316251 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:46:44.316273 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:46:44.316314 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:46:44.316347 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:46:44.316370 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:46:44.316393 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:46:44.316416 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:46:44.316438 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:46:44.316459 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:46:44.316481 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:46:44.316504 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:46:44.316524 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:46:44.316546 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:46:44.316570 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:46:44.316596 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.71328 (* 0.0272727 = 0.101271 loss) | |
| I0321 19:46:44.316623 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.12242 (* 0.0272727 = 0.11243 loss) | |
| I0321 19:46:44.316650 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 4.10491 (* 0.0272727 = 0.111952 loss) | |
| I0321 19:46:44.316676 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.47412 (* 0.0272727 = 0.0947487 loss) | |
| I0321 19:46:44.316704 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.78626 (* 0.0272727 = 0.103262 loss) | |
| I0321 19:46:44.316735 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.41033 (* 0.0272727 = 0.0657362 loss) | |
| I0321 19:46:44.316762 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.24155 (* 0.0272727 = 0.0338604 loss) | |
| I0321 19:46:44.316788 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.416729 (* 0.0272727 = 0.0113653 loss) | |
| I0321 19:46:44.316817 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0258444 (* 0.0272727 = 0.000704847 loss) | |
| I0321 19:46:44.316844 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00790806 (* 0.0272727 = 0.000215674 loss) | |
| I0321 19:46:44.316872 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.0019821 (* 0.0272727 = 5.40574e-05 loss) | |
| I0321 19:46:44.316898 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00143584 (* 0.0272727 = 3.91593e-05 loss) | |
| I0321 19:46:44.316926 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00185729 (* 0.0272727 = 5.06534e-05 loss) | |
| I0321 19:46:44.316954 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00118316 (* 0.0272727 = 3.22681e-05 loss) | |
| I0321 19:46:44.316982 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00153502 (* 0.0272727 = 4.18642e-05 loss) | |
| I0321 19:46:44.317008 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00112713 (* 0.0272727 = 3.074e-05 loss) | |
| I0321 19:46:44.317034 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00149813 (* 0.0272727 = 4.08581e-05 loss) | |
| I0321 19:46:44.317061 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00131076 (* 0.0272727 = 3.57481e-05 loss) | |
| I0321 19:46:44.317087 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00132743 (* 0.0272727 = 3.62026e-05 loss) | |
| I0321 19:46:44.317114 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00216247 (* 0.0272727 = 5.89764e-05 loss) | |
| I0321 19:46:44.317142 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00114742 (* 0.0272727 = 3.12932e-05 loss) | |
| I0321 19:46:44.317169 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.0016357 (* 0.0272727 = 4.461e-05 loss) | |
| I0321 19:46:44.317191 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:46:44.317214 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:46:44.317251 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:46:44.317276 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:46:44.317301 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:46:44.317327 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:46:44.317345 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:46:44.317369 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:46:44.317392 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:46:44.317416 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:46:44.317437 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:46:44.317458 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:46:44.317479 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:46:44.317502 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:46:44.317523 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:46:44.317545 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:46:44.317566 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:46:44.317589 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:46:44.317610 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:46:44.317631 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:46:44.317653 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:46:44.317675 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:46:44.317703 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.83596 (* 0.0909091 = 0.348724 loss) | |
| I0321 19:46:44.317729 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 4.18706 (* 0.0909091 = 0.380642 loss) | |
| I0321 19:46:44.317755 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.83204 (* 0.0909091 = 0.348367 loss) | |
| I0321 19:46:44.317787 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.41169 (* 0.0909091 = 0.310154 loss) | |
| I0321 19:46:44.317813 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.558 (* 0.0909091 = 0.323455 loss) | |
| I0321 19:46:44.317839 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.08042 (* 0.0909091 = 0.189129 loss) | |
| I0321 19:46:44.317870 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.24888 (* 0.0909091 = 0.113534 loss) | |
| I0321 19:46:44.317898 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.42381 (* 0.0909091 = 0.0385281 loss) | |
| I0321 19:46:44.317931 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0518899 (* 0.0909091 = 0.00471726 loss) | |
| I0321 19:46:44.317958 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0258192 (* 0.0909091 = 0.0023472 loss) | |
| I0321 19:46:44.317993 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000262379 (* 0.0909091 = 2.38527e-05 loss) | |
| I0321 19:46:44.318020 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000296371 (* 0.0909091 = 2.69428e-05 loss) | |
| I0321 19:46:44.318048 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000311345 (* 0.0909091 = 2.83041e-05 loss) | |
| I0321 19:46:44.318076 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000280176 (* 0.0909091 = 2.54706e-05 loss) | |
| I0321 19:46:44.318101 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000241438 (* 0.0909091 = 2.19489e-05 loss) | |
| I0321 19:46:44.318128 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00028329 (* 0.0909091 = 2.57536e-05 loss) | |
| I0321 19:46:44.318156 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000248461 (* 0.0909091 = 2.25873e-05 loss) | |
| I0321 19:46:44.318181 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000264273 (* 0.0909091 = 2.40248e-05 loss) | |
| I0321 19:46:44.318225 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000318476 (* 0.0909091 = 2.89523e-05 loss) | |
| I0321 19:46:44.318254 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.00030234 (* 0.0909091 = 2.74855e-05 loss) | |
| I0321 19:46:44.318280 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000327667 (* 0.0909091 = 2.97879e-05 loss) | |
| I0321 19:46:44.318306 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000317898 (* 0.0909091 = 2.88998e-05 loss) | |
| I0321 19:46:44.318330 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:46:44.318351 2639 solver.cpp:245] Train net output #133: total_confidence = 2.89838e-05 | |
| I0321 19:46:44.318372 2639 sgd_solver.cpp:106] Iteration 2700, lr = 0.01 | |
| I0321 19:47:06.304157 2639 solver.cpp:229] Iteration 2800, loss = 3.04925 | |
| I0321 19:47:06.304283 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:47:06.304313 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:47:06.304338 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:47:06.304361 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:47:06.304383 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.5 | |
| I0321 19:47:06.304405 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:47:06.304430 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:47:06.304455 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.625 | |
| I0321 19:47:06.304481 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:47:06.304504 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:47:06.304528 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:47:06.304550 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:47:06.304572 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:47:06.304594 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:47:06.304616 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:47:06.304637 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:47:06.304659 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:47:06.304687 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:47:06.304708 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:47:06.304729 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:47:06.304750 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:47:06.304772 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:47:06.304802 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.90803 (* 0.0272727 = 0.0793099 loss) | |
| I0321 19:47:06.304831 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.10309 (* 0.0272727 = 0.0846297 loss) | |
| I0321 19:47:06.304858 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.55778 (* 0.0272727 = 0.0970303 loss) | |
| I0321 19:47:06.304884 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.18589 (* 0.0272727 = 0.086888 loss) | |
| I0321 19:47:06.304911 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.40072 (* 0.0272727 = 0.0654742 loss) | |
| I0321 19:47:06.304939 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.75371 (* 0.0272727 = 0.0478285 loss) | |
| I0321 19:47:06.304965 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.37458 (* 0.0272727 = 0.0374885 loss) | |
| I0321 19:47:06.304992 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.60681 (* 0.0272727 = 0.043822 loss) | |
| I0321 19:47:06.305021 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.30456 (* 0.0272727 = 0.0355789 loss) | |
| I0321 19:47:06.305050 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.034933 (* 0.0272727 = 0.000952717 loss) | |
| I0321 19:47:06.305083 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000655136 (* 0.0272727 = 1.78673e-05 loss) | |
| I0321 19:47:06.305110 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000489065 (* 0.0272727 = 1.33381e-05 loss) | |
| I0321 19:47:06.305138 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000447772 (* 0.0272727 = 1.2212e-05 loss) | |
| I0321 19:47:06.305165 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000528561 (* 0.0272727 = 1.44153e-05 loss) | |
| I0321 19:47:06.305192 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000513518 (* 0.0272727 = 1.4005e-05 loss) | |
| I0321 19:47:06.305220 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000509337 (* 0.0272727 = 1.3891e-05 loss) | |
| I0321 19:47:06.305248 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000422038 (* 0.0272727 = 1.15101e-05 loss) | |
| I0321 19:47:06.305300 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000481849 (* 0.0272727 = 1.31413e-05 loss) | |
| I0321 19:47:06.305331 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000465679 (* 0.0272727 = 1.27003e-05 loss) | |
| I0321 19:47:06.305359 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000648264 (* 0.0272727 = 1.76799e-05 loss) | |
| I0321 19:47:06.305387 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000423917 (* 0.0272727 = 1.15614e-05 loss) | |
| I0321 19:47:06.305413 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000519233 (* 0.0272727 = 1.41609e-05 loss) | |
| I0321 19:47:06.305438 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:47:06.305460 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:47:06.305482 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:47:06.305505 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:47:06.305527 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.5 | |
| I0321 19:47:06.305549 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:47:06.305572 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:47:06.305593 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.625 | |
| I0321 19:47:06.305615 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:47:06.305637 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:47:06.305660 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:47:06.305680 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:47:06.305702 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:47:06.305728 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:47:06.305750 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:47:06.305773 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:47:06.305795 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:47:06.305817 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:47:06.305840 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:47:06.305861 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:47:06.305882 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:47:06.305903 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:47:06.305930 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.91793 (* 0.0272727 = 0.0795799 loss) | |
| I0321 19:47:06.305958 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.02549 (* 0.0272727 = 0.0825133 loss) | |
| I0321 19:47:06.305984 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.49536 (* 0.0272727 = 0.095328 loss) | |
| I0321 19:47:06.306010 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.12827 (* 0.0272727 = 0.0853163 loss) | |
| I0321 19:47:06.306036 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.32128 (* 0.0272727 = 0.0633077 loss) | |
| I0321 19:47:06.306063 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.81461 (* 0.0272727 = 0.0494894 loss) | |
| I0321 19:47:06.306089 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.41356 (* 0.0272727 = 0.0385516 loss) | |
| I0321 19:47:06.306116 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.65948 (* 0.0272727 = 0.0452584 loss) | |
| I0321 19:47:06.306143 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.31591 (* 0.0272727 = 0.0358883 loss) | |
| I0321 19:47:06.306169 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0148918 (* 0.0272727 = 0.000406141 loss) | |
| I0321 19:47:06.306197 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000704894 (* 0.0272727 = 1.92244e-05 loss) | |
| I0321 19:47:06.306239 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000529772 (* 0.0272727 = 1.44483e-05 loss) | |
| I0321 19:47:06.306269 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000739997 (* 0.0272727 = 2.01817e-05 loss) | |
| I0321 19:47:06.306295 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000742963 (* 0.0272727 = 2.02626e-05 loss) | |
| I0321 19:47:06.306321 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000813974 (* 0.0272727 = 2.21993e-05 loss) | |
| I0321 19:47:06.306351 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000677493 (* 0.0272727 = 1.84771e-05 loss) | |
| I0321 19:47:06.306381 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00055215 (* 0.0272727 = 1.50586e-05 loss) | |
| I0321 19:47:06.306408 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000953491 (* 0.0272727 = 2.60043e-05 loss) | |
| I0321 19:47:06.306434 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000846391 (* 0.0272727 = 2.30834e-05 loss) | |
| I0321 19:47:06.306460 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00111895 (* 0.0272727 = 3.05168e-05 loss) | |
| I0321 19:47:06.306488 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000645988 (* 0.0272727 = 1.76179e-05 loss) | |
| I0321 19:47:06.306514 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000786388 (* 0.0272727 = 2.1447e-05 loss) | |
| I0321 19:47:06.306536 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:47:06.306560 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:47:06.306581 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:47:06.306602 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:47:06.306624 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:47:06.306646 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:47:06.306668 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:47:06.306689 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.625 | |
| I0321 19:47:06.306712 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:47:06.306733 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:47:06.306751 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:47:06.306773 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:47:06.306792 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:47:06.306814 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:47:06.306836 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:47:06.306857 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:47:06.306881 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:47:06.306902 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:47:06.306924 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:47:06.306946 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:47:06.306968 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:47:06.306989 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:47:06.307018 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.79621 (* 0.0909091 = 0.254201 loss) | |
| I0321 19:47:06.307049 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.25021 (* 0.0909091 = 0.295474 loss) | |
| I0321 19:47:06.307071 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.39892 (* 0.0909091 = 0.308993 loss) | |
| I0321 19:47:06.307101 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.25215 (* 0.0909091 = 0.29565 loss) | |
| I0321 19:47:06.307127 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.39326 (* 0.0909091 = 0.217569 loss) | |
| I0321 19:47:06.307170 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.82301 (* 0.0909091 = 0.165728 loss) | |
| I0321 19:47:06.307199 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.46816 (* 0.0909091 = 0.133469 loss) | |
| I0321 19:47:06.307227 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.78488 (* 0.0909091 = 0.162262 loss) | |
| I0321 19:47:06.307255 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 1.24359 (* 0.0909091 = 0.113054 loss) | |
| I0321 19:47:06.307281 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0249294 (* 0.0909091 = 0.00226631 loss) | |
| I0321 19:47:06.307307 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.0001717 (* 0.0909091 = 1.56091e-05 loss) | |
| I0321 19:47:06.307335 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000179827 (* 0.0909091 = 1.63479e-05 loss) | |
| I0321 19:47:06.307361 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000204924 (* 0.0909091 = 1.86295e-05 loss) | |
| I0321 19:47:06.307389 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000181649 (* 0.0909091 = 1.65136e-05 loss) | |
| I0321 19:47:06.307420 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000171148 (* 0.0909091 = 1.55589e-05 loss) | |
| I0321 19:47:06.307447 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000175777 (* 0.0909091 = 1.59797e-05 loss) | |
| I0321 19:47:06.307476 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000185075 (* 0.0909091 = 1.6825e-05 loss) | |
| I0321 19:47:06.307502 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000187303 (* 0.0909091 = 1.70275e-05 loss) | |
| I0321 19:47:06.307528 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000185529 (* 0.0909091 = 1.68663e-05 loss) | |
| I0321 19:47:06.307554 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000189708 (* 0.0909091 = 1.72462e-05 loss) | |
| I0321 19:47:06.307582 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000176224 (* 0.0909091 = 1.60203e-05 loss) | |
| I0321 19:47:06.307610 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000192765 (* 0.0909091 = 1.75241e-05 loss) | |
| I0321 19:47:06.307632 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:47:06.307653 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000104124 | |
| I0321 19:47:06.307675 2639 sgd_solver.cpp:106] Iteration 2800, lr = 0.01 | |
| I0321 19:47:28.070555 2639 solver.cpp:229] Iteration 2900, loss = 3.0002 | |
| I0321 19:47:28.070621 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:47:28.070652 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:47:28.070678 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:47:28.070700 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.375 | |
| I0321 19:47:28.070726 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.75 | |
| I0321 19:47:28.070754 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:47:28.070786 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:47:28.070812 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:47:28.070844 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:47:28.070868 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:47:28.070890 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:47:28.070911 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:47:28.070933 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:47:28.070963 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:47:28.070986 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:47:28.071007 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:47:28.071038 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:47:28.071095 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:47:28.071120 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:47:28.071142 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:47:28.071164 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:47:28.071187 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:47:28.071218 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.61862 (* 0.0272727 = 0.0714168 loss) | |
| I0321 19:47:28.071250 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.20737 (* 0.0272727 = 0.0874737 loss) | |
| I0321 19:47:28.071280 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.85991 (* 0.0272727 = 0.10527 loss) | |
| I0321 19:47:28.071306 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.50718 (* 0.0272727 = 0.0683777 loss) | |
| I0321 19:47:28.071332 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.08042 (* 0.0272727 = 0.0567388 loss) | |
| I0321 19:47:28.071362 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.06045 (* 0.0272727 = 0.0561941 loss) | |
| I0321 19:47:28.071388 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.76296 (* 0.0272727 = 0.0480807 loss) | |
| I0321 19:47:28.071415 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.769568 (* 0.0272727 = 0.0209882 loss) | |
| I0321 19:47:28.071444 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0198014 (* 0.0272727 = 0.000540038 loss) | |
| I0321 19:47:28.071470 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0125859 (* 0.0272727 = 0.000343251 loss) | |
| I0321 19:47:28.071497 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00104532 (* 0.0272727 = 2.85087e-05 loss) | |
| I0321 19:47:28.071524 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.0010045 (* 0.0272727 = 2.73956e-05 loss) | |
| I0321 19:47:28.071552 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00097721 (* 0.0272727 = 2.66512e-05 loss) | |
| I0321 19:47:28.071579 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000774452 (* 0.0272727 = 2.11214e-05 loss) | |
| I0321 19:47:28.071607 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000867455 (* 0.0272727 = 2.36579e-05 loss) | |
| I0321 19:47:28.071635 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000839743 (* 0.0272727 = 2.29021e-05 loss) | |
| I0321 19:47:28.071663 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000780394 (* 0.0272727 = 2.12835e-05 loss) | |
| I0321 19:47:28.071696 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000658502 (* 0.0272727 = 1.79591e-05 loss) | |
| I0321 19:47:28.071724 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000998792 (* 0.0272727 = 2.72398e-05 loss) | |
| I0321 19:47:28.071751 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000847182 (* 0.0272727 = 2.3105e-05 loss) | |
| I0321 19:47:28.071784 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000517471 (* 0.0272727 = 1.41128e-05 loss) | |
| I0321 19:47:28.071810 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00104272 (* 0.0272727 = 2.84378e-05 loss) | |
| I0321 19:47:28.071833 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:47:28.071856 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:47:28.071877 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:47:28.071899 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.375 | |
| I0321 19:47:28.071923 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.75 | |
| I0321 19:47:28.071944 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:47:28.071967 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:47:28.071990 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:47:28.072011 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:47:28.072072 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:47:28.072098 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:47:28.072121 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:47:28.072144 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:47:28.072166 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:47:28.072188 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:47:28.072209 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:47:28.072232 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:47:28.072253 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:47:28.072275 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:47:28.072296 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:47:28.072319 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:47:28.072340 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:47:28.072367 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.62386 (* 0.0272727 = 0.0715597 loss) | |
| I0321 19:47:28.072394 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.3067 (* 0.0272727 = 0.0901826 loss) | |
| I0321 19:47:28.072422 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.6664 (* 0.0272727 = 0.0999928 loss) | |
| I0321 19:47:28.072450 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.5538 (* 0.0272727 = 0.0696492 loss) | |
| I0321 19:47:28.072479 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 1.79976 (* 0.0272727 = 0.0490842 loss) | |
| I0321 19:47:28.072512 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.84201 (* 0.0272727 = 0.0502367 loss) | |
| I0321 19:47:28.072540 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.6746 (* 0.0272727 = 0.0456709 loss) | |
| I0321 19:47:28.072568 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.64325 (* 0.0272727 = 0.0175432 loss) | |
| I0321 19:47:28.072595 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.00948315 (* 0.0272727 = 0.000258631 loss) | |
| I0321 19:47:28.072623 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00653916 (* 0.0272727 = 0.000178341 loss) | |
| I0321 19:47:28.072652 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000776753 (* 0.0272727 = 2.11842e-05 loss) | |
| I0321 19:47:28.072679 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000491533 (* 0.0272727 = 1.34054e-05 loss) | |
| I0321 19:47:28.072706 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000715034 (* 0.0272727 = 1.95009e-05 loss) | |
| I0321 19:47:28.072739 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000499049 (* 0.0272727 = 1.36104e-05 loss) | |
| I0321 19:47:28.072767 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000604617 (* 0.0272727 = 1.64896e-05 loss) | |
| I0321 19:47:28.072794 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000636159 (* 0.0272727 = 1.73498e-05 loss) | |
| I0321 19:47:28.072825 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.0004647 (* 0.0272727 = 1.26736e-05 loss) | |
| I0321 19:47:28.072854 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000809914 (* 0.0272727 = 2.20886e-05 loss) | |
| I0321 19:47:28.072880 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000650008 (* 0.0272727 = 1.77275e-05 loss) | |
| I0321 19:47:28.072907 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000769688 (* 0.0272727 = 2.09915e-05 loss) | |
| I0321 19:47:28.072935 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000618363 (* 0.0272727 = 1.68644e-05 loss) | |
| I0321 19:47:28.072962 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000754197 (* 0.0272727 = 2.0569e-05 loss) | |
| I0321 19:47:28.072984 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:47:28.073007 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:47:28.073048 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:47:28.073073 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.375 | |
| I0321 19:47:28.073096 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.75 | |
| I0321 19:47:28.073118 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:47:28.073140 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:47:28.073163 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:47:28.073185 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:47:28.073207 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:47:28.073228 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:47:28.073249 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:47:28.073271 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:47:28.073293 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:47:28.073313 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:47:28.073335 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:47:28.073356 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:47:28.073379 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:47:28.073400 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:47:28.073421 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:47:28.073442 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:47:28.073464 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:47:28.073492 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.46848 (* 0.0909091 = 0.224407 loss) | |
| I0321 19:47:28.073516 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.32472 (* 0.0909091 = 0.302247 loss) | |
| I0321 19:47:28.073544 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.88425 (* 0.0909091 = 0.353114 loss) | |
| I0321 19:47:28.073570 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.46491 (* 0.0909091 = 0.224083 loss) | |
| I0321 19:47:28.073596 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 1.75523 (* 0.0909091 = 0.159566 loss) | |
| I0321 19:47:28.073622 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.07417 (* 0.0909091 = 0.188561 loss) | |
| I0321 19:47:28.073649 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.68365 (* 0.0909091 = 0.153059 loss) | |
| I0321 19:47:28.073675 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.591027 (* 0.0909091 = 0.0537297 loss) | |
| I0321 19:47:28.073703 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.00835146 (* 0.0909091 = 0.000759223 loss) | |
| I0321 19:47:28.073730 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00554838 (* 0.0909091 = 0.000504398 loss) | |
| I0321 19:47:28.073757 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000244419 (* 0.0909091 = 2.22199e-05 loss) | |
| I0321 19:47:28.073788 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000408954 (* 0.0909091 = 3.71776e-05 loss) | |
| I0321 19:47:28.073817 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00044584 (* 0.0909091 = 4.05309e-05 loss) | |
| I0321 19:47:28.073845 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000315781 (* 0.0909091 = 2.87074e-05 loss) | |
| I0321 19:47:28.073874 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00054614 (* 0.0909091 = 4.96491e-05 loss) | |
| I0321 19:47:28.073902 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00035827 (* 0.0909091 = 3.257e-05 loss) | |
| I0321 19:47:28.073931 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000397706 (* 0.0909091 = 3.61551e-05 loss) | |
| I0321 19:47:28.073957 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000431309 (* 0.0909091 = 3.92099e-05 loss) | |
| I0321 19:47:28.074002 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000477384 (* 0.0909091 = 4.33986e-05 loss) | |
| I0321 19:47:28.074029 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000320342 (* 0.0909091 = 2.9122e-05 loss) | |
| I0321 19:47:28.074056 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000307739 (* 0.0909091 = 2.79762e-05 loss) | |
| I0321 19:47:28.074084 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000508767 (* 0.0909091 = 4.62515e-05 loss) | |
| I0321 19:47:28.074108 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:47:28.074128 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000650915 | |
| I0321 19:47:28.074151 2639 sgd_solver.cpp:106] Iteration 2900, lr = 0.01 | |
| I0321 19:47:49.843827 2639 solver.cpp:338] Iteration 3000, Testing net (#0) | |
| I0321 19:48:22.973311 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.09 | |
| I0321 19:48:22.973443 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.065 | |
| I0321 19:48:22.973474 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.055 | |
| I0321 19:48:22.973498 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.097 | |
| I0321 19:48:22.973521 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.211 | |
| I0321 19:48:22.973542 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.516 | |
| I0321 19:48:22.973563 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.816 | |
| I0321 19:48:22.973587 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.925 | |
| I0321 19:48:22.973609 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.977 | |
| I0321 19:48:22.973633 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.993 | |
| I0321 19:48:22.973656 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 1 | |
| I0321 19:48:22.973683 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 1 | |
| I0321 19:48:22.973706 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 1 | |
| I0321 19:48:22.973728 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 1 | |
| I0321 19:48:22.973749 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 1 | |
| I0321 19:48:22.973770 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 1 | |
| I0321 19:48:22.973791 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 1 | |
| I0321 19:48:22.973812 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 1 | |
| I0321 19:48:22.973834 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 1 | |
| I0321 19:48:22.973855 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 1 | |
| I0321 19:48:22.973876 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 1 | |
| I0321 19:48:22.973897 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 1 | |
| I0321 19:48:22.973925 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 3.66849 (* 0.0272727 = 0.10005 loss) | |
| I0321 19:48:22.973953 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 3.79048 (* 0.0272727 = 0.103377 loss) | |
| I0321 19:48:22.973978 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 3.84657 (* 0.0272727 = 0.104906 loss) | |
| I0321 19:48:22.974004 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 3.78993 (* 0.0272727 = 0.103362 loss) | |
| I0321 19:48:22.974031 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 3.3563 (* 0.0272727 = 0.0915354 loss) | |
| I0321 19:48:22.974056 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 2.19044 (* 0.0272727 = 0.0597393 loss) | |
| I0321 19:48:22.974081 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 1.02006 (* 0.0272727 = 0.0278197 loss) | |
| I0321 19:48:22.974107 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 0.471745 (* 0.0272727 = 0.0128658 loss) | |
| I0321 19:48:22.974133 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 0.185357 (* 0.0272727 = 0.0050552 loss) | |
| I0321 19:48:22.974159 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 0.0592497 (* 0.0272727 = 0.0016159 loss) | |
| I0321 19:48:22.974184 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 0.00197579 (* 0.0272727 = 5.38851e-05 loss) | |
| I0321 19:48:22.974210 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 0.00230219 (* 0.0272727 = 6.27871e-05 loss) | |
| I0321 19:48:22.974237 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 0.00168258 (* 0.0272727 = 4.58887e-05 loss) | |
| I0321 19:48:22.974264 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 0.00214361 (* 0.0272727 = 5.84622e-05 loss) | |
| I0321 19:48:22.974294 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 0.00201583 (* 0.0272727 = 5.49773e-05 loss) | |
| I0321 19:48:22.974325 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 0.00200843 (* 0.0272727 = 5.47754e-05 loss) | |
| I0321 19:48:22.974352 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 0.0018857 (* 0.0272727 = 5.14282e-05 loss) | |
| I0321 19:48:22.974380 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 0.00147247 (* 0.0272727 = 4.01583e-05 loss) | |
| I0321 19:48:22.974429 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 0.00214925 (* 0.0272727 = 5.86158e-05 loss) | |
| I0321 19:48:22.974462 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 0.00224284 (* 0.0272727 = 6.11683e-05 loss) | |
| I0321 19:48:22.974490 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 0.00182101 (* 0.0272727 = 4.96638e-05 loss) | |
| I0321 19:48:22.974519 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 0.00216441 (* 0.0272727 = 5.90293e-05 loss) | |
| I0321 19:48:22.974540 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.084 | |
| I0321 19:48:22.974561 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.065 | |
| I0321 19:48:22.974583 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.052 | |
| I0321 19:48:22.974604 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.084 | |
| I0321 19:48:22.974625 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.21 | |
| I0321 19:48:22.974647 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.521 | |
| I0321 19:48:22.974668 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.817 | |
| I0321 19:48:22.974689 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.927 | |
| I0321 19:48:22.974710 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.977 | |
| I0321 19:48:22.974737 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.993 | |
| I0321 19:48:22.974758 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 1 | |
| I0321 19:48:22.974779 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 1 | |
| I0321 19:48:22.974800 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 1 | |
| I0321 19:48:22.974820 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 1 | |
| I0321 19:48:22.974843 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 1 | |
| I0321 19:48:22.974863 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 1 | |
| I0321 19:48:22.974884 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 1 | |
| I0321 19:48:22.974903 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 1 | |
| I0321 19:48:22.974923 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 1 | |
| I0321 19:48:22.974946 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 1 | |
| I0321 19:48:22.974967 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 1 | |
| I0321 19:48:22.974987 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 1 | |
| I0321 19:48:22.975013 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 3.78143 (* 0.0272727 = 0.10313 loss) | |
| I0321 19:48:22.975039 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 3.93021 (* 0.0272727 = 0.107187 loss) | |
| I0321 19:48:22.975065 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 3.9428 (* 0.0272727 = 0.107531 loss) | |
| I0321 19:48:22.975090 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 3.91797 (* 0.0272727 = 0.106854 loss) | |
| I0321 19:48:22.975116 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 3.42734 (* 0.0272727 = 0.0934729 loss) | |
| I0321 19:48:22.975142 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 2.18007 (* 0.0272727 = 0.0594563 loss) | |
| I0321 19:48:22.975167 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 0.95332 (* 0.0272727 = 0.0259996 loss) | |
| I0321 19:48:22.975193 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 0.443744 (* 0.0272727 = 0.0121021 loss) | |
| I0321 19:48:22.975219 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 0.145708 (* 0.0272727 = 0.00397386 loss) | |
| I0321 19:48:22.975244 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 0.0600827 (* 0.0272727 = 0.00163862 loss) | |
| I0321 19:48:22.975270 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 0.0013405 (* 0.0272727 = 3.65591e-05 loss) | |
| I0321 19:48:22.975296 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 0.00197355 (* 0.0272727 = 5.3824e-05 loss) | |
| I0321 19:48:22.975322 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 0.00140467 (* 0.0272727 = 3.83092e-05 loss) | |
| I0321 19:48:22.975365 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 0.00139742 (* 0.0272727 = 3.81114e-05 loss) | |
| I0321 19:48:22.975392 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 0.00175166 (* 0.0272727 = 4.77726e-05 loss) | |
| I0321 19:48:22.975417 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 0.00122421 (* 0.0272727 = 3.33876e-05 loss) | |
| I0321 19:48:22.975445 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 0.00163645 (* 0.0272727 = 4.46305e-05 loss) | |
| I0321 19:48:22.975469 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 0.00131638 (* 0.0272727 = 3.59013e-05 loss) | |
| I0321 19:48:22.975494 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 0.00150955 (* 0.0272727 = 4.11696e-05 loss) | |
| I0321 19:48:22.975527 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 0.00196951 (* 0.0272727 = 5.3714e-05 loss) | |
| I0321 19:48:22.975553 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 0.00143259 (* 0.0272727 = 3.90706e-05 loss) | |
| I0321 19:48:22.975579 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 0.00163042 (* 0.0272727 = 4.44661e-05 loss) | |
| I0321 19:48:22.975600 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0.074 | |
| I0321 19:48:22.975623 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.055 | |
| I0321 19:48:22.975644 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.042 | |
| I0321 19:48:22.975666 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.087 | |
| I0321 19:48:22.975687 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.211 | |
| I0321 19:48:22.975708 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.526 | |
| I0321 19:48:22.975728 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.816 | |
| I0321 19:48:22.975749 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.927 | |
| I0321 19:48:22.975774 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.977 | |
| I0321 19:48:22.975797 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.993 | |
| I0321 19:48:22.975817 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:48:22.975837 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:48:22.975858 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:48:22.975880 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:48:22.975900 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:48:22.975920 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:48:22.975941 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:48:22.975962 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:48:22.975981 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:48:22.976001 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:48:22.976022 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:48:22.976043 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:48:22.976089 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 3.92638 (* 0.0909091 = 0.356943 loss) | |
| I0321 19:48:22.976117 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 3.9354 (* 0.0909091 = 0.357764 loss) | |
| I0321 19:48:22.976142 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 4.0155 (* 0.0909091 = 0.365046 loss) | |
| I0321 19:48:22.976169 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 3.87506 (* 0.0909091 = 0.352278 loss) | |
| I0321 19:48:22.976194 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 3.37788 (* 0.0909091 = 0.30708 loss) | |
| I0321 19:48:22.976219 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 2.21755 (* 0.0909091 = 0.201595 loss) | |
| I0321 19:48:22.976245 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 0.960283 (* 0.0909091 = 0.0872985 loss) | |
| I0321 19:48:22.976289 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 0.401308 (* 0.0909091 = 0.0364826 loss) | |
| I0321 19:48:22.976315 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 0.129452 (* 0.0909091 = 0.0117684 loss) | |
| I0321 19:48:22.976343 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 0.0507638 (* 0.0909091 = 0.00461489 loss) | |
| I0321 19:48:22.976368 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 0.000184863 (* 0.0909091 = 1.68057e-05 loss) | |
| I0321 19:48:22.976393 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 0.000176479 (* 0.0909091 = 1.60435e-05 loss) | |
| I0321 19:48:22.976419 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 0.000158987 (* 0.0909091 = 1.44533e-05 loss) | |
| I0321 19:48:22.976446 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 0.00018078 (* 0.0909091 = 1.64345e-05 loss) | |
| I0321 19:48:22.976472 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 0.000142208 (* 0.0909091 = 1.2928e-05 loss) | |
| I0321 19:48:22.976501 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 0.000205105 (* 0.0909091 = 1.86459e-05 loss) | |
| I0321 19:48:22.976522 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 0.000182273 (* 0.0909091 = 1.65703e-05 loss) | |
| I0321 19:48:22.976553 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 0.000168723 (* 0.0909091 = 1.53384e-05 loss) | |
| I0321 19:48:22.976586 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 0.00019134 (* 0.0909091 = 1.73945e-05 loss) | |
| I0321 19:48:22.976613 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 0.000149713 (* 0.0909091 = 1.36102e-05 loss) | |
| I0321 19:48:22.976639 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 0.00019116 (* 0.0909091 = 1.73782e-05 loss) | |
| I0321 19:48:22.976665 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 0.000201082 (* 0.0909091 = 1.82801e-05 loss) | |
| I0321 19:48:22.976687 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:48:22.976707 2639 solver.cpp:406] Test net output #133: total_confidence = 0.000292147 | |
| I0321 19:48:23.088376 2639 solver.cpp:229] Iteration 3000, loss = 3.04365 | |
| I0321 19:48:23.088415 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.5 | |
| I0321 19:48:23.088443 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:48:23.088469 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:48:23.088492 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.375 | |
| I0321 19:48:23.088516 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:48:23.088538 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:48:23.088562 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 1 | |
| I0321 19:48:23.088584 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:48:23.088608 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:48:23.088634 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:48:23.088660 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:48:23.088682 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:48:23.088706 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:48:23.088732 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:48:23.088754 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:48:23.088778 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:48:23.088799 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:48:23.088821 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:48:23.088843 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:48:23.088865 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:48:23.088887 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:48:23.088932 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:48:23.088961 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.64222 (* 0.0272727 = 0.0720606 loss) | |
| I0321 19:48:23.088989 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.69124 (* 0.0272727 = 0.10067 loss) | |
| I0321 19:48:23.089017 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.15567 (* 0.0272727 = 0.0860638 loss) | |
| I0321 19:48:23.089045 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.52753 (* 0.0272727 = 0.0689328 loss) | |
| I0321 19:48:23.089071 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.83235 (* 0.0272727 = 0.077246 loss) | |
| I0321 19:48:23.089099 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.76894 (* 0.0272727 = 0.0482438 loss) | |
| I0321 19:48:23.089129 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.361978 (* 0.0272727 = 0.00987212 loss) | |
| I0321 19:48:23.089167 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0934228 (* 0.0272727 = 0.00254789 loss) | |
| I0321 19:48:23.089196 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0317529 (* 0.0272727 = 0.000865988 loss) | |
| I0321 19:48:23.089224 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0108006 (* 0.0272727 = 0.000294562 loss) | |
| I0321 19:48:23.089251 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000724465 (* 0.0272727 = 1.97581e-05 loss) | |
| I0321 19:48:23.089279 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000608685 (* 0.0272727 = 1.66005e-05 loss) | |
| I0321 19:48:23.089306 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000613796 (* 0.0272727 = 1.67399e-05 loss) | |
| I0321 19:48:23.089334 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000845176 (* 0.0272727 = 2.30502e-05 loss) | |
| I0321 19:48:23.089361 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00060849 (* 0.0272727 = 1.65952e-05 loss) | |
| I0321 19:48:23.089388 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000613692 (* 0.0272727 = 1.67371e-05 loss) | |
| I0321 19:48:23.089416 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000568986 (* 0.0272727 = 1.55178e-05 loss) | |
| I0321 19:48:23.089442 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000683541 (* 0.0272727 = 1.8642e-05 loss) | |
| I0321 19:48:23.089470 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00073241 (* 0.0272727 = 1.99748e-05 loss) | |
| I0321 19:48:23.089498 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000762605 (* 0.0272727 = 2.07983e-05 loss) | |
| I0321 19:48:23.089526 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000661807 (* 0.0272727 = 1.80493e-05 loss) | |
| I0321 19:48:23.089555 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000879396 (* 0.0272727 = 2.39835e-05 loss) | |
| I0321 19:48:23.089578 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:48:23.089601 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:48:23.089624 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:48:23.089646 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:48:23.089668 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:48:23.089690 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:48:23.089714 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 1 | |
| I0321 19:48:23.089735 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:48:23.089757 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:48:23.089783 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:48:23.089805 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:48:23.089828 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:48:23.089849 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:48:23.089887 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:48:23.089911 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:48:23.089933 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:48:23.089956 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:48:23.089977 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:48:23.089998 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:48:23.090019 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:48:23.090039 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:48:23.090056 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:48:23.090082 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.91138 (* 0.0272727 = 0.0794012 loss) | |
| I0321 19:48:23.090109 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.5406 (* 0.0272727 = 0.0965618 loss) | |
| I0321 19:48:23.090137 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.17119 (* 0.0272727 = 0.086487 loss) | |
| I0321 19:48:23.090163 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.75708 (* 0.0272727 = 0.075193 loss) | |
| I0321 19:48:23.090190 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.71147 (* 0.0272727 = 0.0739492 loss) | |
| I0321 19:48:23.090222 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.682 (* 0.0272727 = 0.0458727 loss) | |
| I0321 19:48:23.090250 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.382516 (* 0.0272727 = 0.0104323 loss) | |
| I0321 19:48:23.090276 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.112846 (* 0.0272727 = 0.00307763 loss) | |
| I0321 19:48:23.090302 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0358521 (* 0.0272727 = 0.000977785 loss) | |
| I0321 19:48:23.090329 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0144862 (* 0.0272727 = 0.000395077 loss) | |
| I0321 19:48:23.090356 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00103813 (* 0.0272727 = 2.83127e-05 loss) | |
| I0321 19:48:23.090383 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000742382 (* 0.0272727 = 2.02468e-05 loss) | |
| I0321 19:48:23.090410 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000826862 (* 0.0272727 = 2.25508e-05 loss) | |
| I0321 19:48:23.090437 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000672478 (* 0.0272727 = 1.83403e-05 loss) | |
| I0321 19:48:23.090463 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000936913 (* 0.0272727 = 2.55522e-05 loss) | |
| I0321 19:48:23.090490 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000673673 (* 0.0272727 = 1.83729e-05 loss) | |
| I0321 19:48:23.090517 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000849087 (* 0.0272727 = 2.31569e-05 loss) | |
| I0321 19:48:23.090545 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00107316 (* 0.0272727 = 2.92681e-05 loss) | |
| I0321 19:48:23.090572 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00102251 (* 0.0272727 = 2.78868e-05 loss) | |
| I0321 19:48:23.090600 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000955784 (* 0.0272727 = 2.60668e-05 loss) | |
| I0321 19:48:23.090627 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000761858 (* 0.0272727 = 2.07779e-05 loss) | |
| I0321 19:48:23.090658 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00066924 (* 0.0272727 = 1.8252e-05 loss) | |
| I0321 19:48:23.090677 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:48:23.090701 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:48:23.090724 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:48:23.090747 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:48:23.090770 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:48:23.090811 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:48:23.090839 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 1 | |
| I0321 19:48:23.090862 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:48:23.090883 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:48:23.090905 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:48:23.090927 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:48:23.090950 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:48:23.090970 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:48:23.090993 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:48:23.091015 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:48:23.091037 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:48:23.091058 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:48:23.091080 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:48:23.091104 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:48:23.091123 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:48:23.091145 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:48:23.091166 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:48:23.091194 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.97294 (* 0.0909091 = 0.270267 loss) | |
| I0321 19:48:23.091220 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.76178 (* 0.0909091 = 0.34198 loss) | |
| I0321 19:48:23.091248 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.18763 (* 0.0909091 = 0.289785 loss) | |
| I0321 19:48:23.091280 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.69573 (* 0.0909091 = 0.245066 loss) | |
| I0321 19:48:23.091306 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.98957 (* 0.0909091 = 0.271779 loss) | |
| I0321 19:48:23.091332 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.60837 (* 0.0909091 = 0.146216 loss) | |
| I0321 19:48:23.091359 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.329992 (* 0.0909091 = 0.0299992 loss) | |
| I0321 19:48:23.091387 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.1298 (* 0.0909091 = 0.0118 loss) | |
| I0321 19:48:23.091413 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0375878 (* 0.0909091 = 0.00341707 loss) | |
| I0321 19:48:23.091439 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0169187 (* 0.0909091 = 0.00153806 loss) | |
| I0321 19:48:23.091466 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000194728 (* 0.0909091 = 1.77025e-05 loss) | |
| I0321 19:48:23.091493 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000143734 (* 0.0909091 = 1.30667e-05 loss) | |
| I0321 19:48:23.091521 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000166081 (* 0.0909091 = 1.50982e-05 loss) | |
| I0321 19:48:23.091548 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000198387 (* 0.0909091 = 1.80352e-05 loss) | |
| I0321 19:48:23.091575 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000115856 (* 0.0909091 = 1.05323e-05 loss) | |
| I0321 19:48:23.091603 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000162704 (* 0.0909091 = 1.47913e-05 loss) | |
| I0321 19:48:23.091629 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00015066 (* 0.0909091 = 1.36964e-05 loss) | |
| I0321 19:48:23.091657 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000146121 (* 0.0909091 = 1.32837e-05 loss) | |
| I0321 19:48:23.091684 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000125349 (* 0.0909091 = 1.13954e-05 loss) | |
| I0321 19:48:23.091711 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000168957 (* 0.0909091 = 1.53597e-05 loss) | |
| I0321 19:48:23.091754 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000153832 (* 0.0909091 = 1.39847e-05 loss) | |
| I0321 19:48:23.091784 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000140947 (* 0.0909091 = 1.28134e-05 loss) | |
| I0321 19:48:23.091806 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:48:23.091828 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000101536 | |
| I0321 19:48:23.091851 2639 sgd_solver.cpp:106] Iteration 3000, lr = 0.01 | |
| I0321 19:48:44.918611 2639 solver.cpp:229] Iteration 3100, loss = 3.00061 | |
| I0321 19:48:44.918668 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:48:44.918695 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:48:44.918721 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:48:44.918750 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:48:44.918773 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:48:44.918795 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:48:44.918819 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:48:44.918843 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:48:44.918865 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:48:44.918889 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:48:44.918916 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:48:44.918939 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:48:44.918962 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:48:44.918983 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:48:44.919004 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:48:44.919028 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:48:44.919049 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:48:44.919071 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:48:44.919092 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:48:44.919114 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:48:44.919137 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:48:44.919158 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:48:44.919188 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.51582 (* 0.0272727 = 0.0958861 loss) | |
| I0321 19:48:44.919214 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.00106 (* 0.0272727 = 0.10912 loss) | |
| I0321 19:48:44.919242 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.3666 (* 0.0272727 = 0.0918163 loss) | |
| I0321 19:48:44.919270 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.27693 (* 0.0272727 = 0.0893707 loss) | |
| I0321 19:48:44.919296 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.10095 (* 0.0272727 = 0.0845714 loss) | |
| I0321 19:48:44.919322 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.12876 (* 0.0272727 = 0.0853298 loss) | |
| I0321 19:48:44.919355 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.707548 (* 0.0272727 = 0.0192968 loss) | |
| I0321 19:48:44.919384 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0944993 (* 0.0272727 = 0.00257725 loss) | |
| I0321 19:48:44.919409 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0292182 (* 0.0272727 = 0.000796861 loss) | |
| I0321 19:48:44.919436 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0163719 (* 0.0272727 = 0.000446506 loss) | |
| I0321 19:48:44.919464 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000640621 (* 0.0272727 = 1.74715e-05 loss) | |
| I0321 19:48:44.919494 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000556832 (* 0.0272727 = 1.51863e-05 loss) | |
| I0321 19:48:44.919559 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000781472 (* 0.0272727 = 2.13129e-05 loss) | |
| I0321 19:48:44.919589 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000609834 (* 0.0272727 = 1.66318e-05 loss) | |
| I0321 19:48:44.919616 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000745068 (* 0.0272727 = 2.032e-05 loss) | |
| I0321 19:48:44.919646 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000874608 (* 0.0272727 = 2.38529e-05 loss) | |
| I0321 19:48:44.919672 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000577 (* 0.0272727 = 1.57364e-05 loss) | |
| I0321 19:48:44.919702 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000662378 (* 0.0272727 = 1.80649e-05 loss) | |
| I0321 19:48:44.919729 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000561003 (* 0.0272727 = 1.53001e-05 loss) | |
| I0321 19:48:44.919756 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000540478 (* 0.0272727 = 1.47403e-05 loss) | |
| I0321 19:48:44.919785 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000749622 (* 0.0272727 = 2.04442e-05 loss) | |
| I0321 19:48:44.919816 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000745087 (* 0.0272727 = 2.03206e-05 loss) | |
| I0321 19:48:44.919839 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:48:44.919862 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:48:44.919883 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:48:44.919906 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:48:44.919929 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:48:44.919951 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:48:44.919973 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:48:44.919996 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:48:44.920018 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:48:44.920040 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:48:44.920080 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:48:44.920105 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:48:44.920127 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:48:44.920150 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:48:44.920172 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:48:44.920195 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:48:44.920228 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:48:44.920250 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:48:44.920271 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:48:44.920294 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:48:44.920315 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:48:44.920337 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:48:44.920364 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.37367 (* 0.0272727 = 0.0920093 loss) | |
| I0321 19:48:44.920397 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.26588 (* 0.0272727 = 0.116342 loss) | |
| I0321 19:48:44.920424 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.10083 (* 0.0272727 = 0.084568 loss) | |
| I0321 19:48:44.920450 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.49138 (* 0.0272727 = 0.0952195 loss) | |
| I0321 19:48:44.920475 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.05451 (* 0.0272727 = 0.0833049 loss) | |
| I0321 19:48:44.920502 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.10745 (* 0.0272727 = 0.0847486 loss) | |
| I0321 19:48:44.920547 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.93558 (* 0.0272727 = 0.0255158 loss) | |
| I0321 19:48:44.920575 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.145194 (* 0.0272727 = 0.00395984 loss) | |
| I0321 19:48:44.920603 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0750657 (* 0.0272727 = 0.00204725 loss) | |
| I0321 19:48:44.920629 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0142548 (* 0.0272727 = 0.000388769 loss) | |
| I0321 19:48:44.920656 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000501887 (* 0.0272727 = 1.36878e-05 loss) | |
| I0321 19:48:44.920683 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00044662 (* 0.0272727 = 1.21806e-05 loss) | |
| I0321 19:48:44.920711 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000693563 (* 0.0272727 = 1.89153e-05 loss) | |
| I0321 19:48:44.920738 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000656978 (* 0.0272727 = 1.79176e-05 loss) | |
| I0321 19:48:44.920765 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00047971 (* 0.0272727 = 1.3083e-05 loss) | |
| I0321 19:48:44.920792 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000544784 (* 0.0272727 = 1.48578e-05 loss) | |
| I0321 19:48:44.920819 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00043964 (* 0.0272727 = 1.19902e-05 loss) | |
| I0321 19:48:44.920848 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00060051 (* 0.0272727 = 1.63775e-05 loss) | |
| I0321 19:48:44.920877 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00043007 (* 0.0272727 = 1.17292e-05 loss) | |
| I0321 19:48:44.920903 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000475613 (* 0.0272727 = 1.29713e-05 loss) | |
| I0321 19:48:44.920931 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000577208 (* 0.0272727 = 1.5742e-05 loss) | |
| I0321 19:48:44.920959 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000594125 (* 0.0272727 = 1.62034e-05 loss) | |
| I0321 19:48:44.920981 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:48:44.921003 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:48:44.921026 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:48:44.921047 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:48:44.921068 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:48:44.921089 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:48:44.921113 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:48:44.921134 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:48:44.921156 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:48:44.921177 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:48:44.921200 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:48:44.921221 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:48:44.921242 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:48:44.921264 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:48:44.921288 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:48:44.921308 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:48:44.921330 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:48:44.921352 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:48:44.921376 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:48:44.921393 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:48:44.921419 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:48:44.921447 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:48:44.921491 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.54569 (* 0.0909091 = 0.322335 loss) | |
| I0321 19:48:44.921519 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.84077 (* 0.0909091 = 0.349161 loss) | |
| I0321 19:48:44.921546 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.40544 (* 0.0909091 = 0.309586 loss) | |
| I0321 19:48:44.921572 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.61957 (* 0.0909091 = 0.329052 loss) | |
| I0321 19:48:44.921599 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.99856 (* 0.0909091 = 0.272596 loss) | |
| I0321 19:48:44.921627 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.06927 (* 0.0909091 = 0.279024 loss) | |
| I0321 19:48:44.921653 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.990259 (* 0.0909091 = 0.0900235 loss) | |
| I0321 19:48:44.921679 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.103347 (* 0.0909091 = 0.00939514 loss) | |
| I0321 19:48:44.921706 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0438335 (* 0.0909091 = 0.00398486 loss) | |
| I0321 19:48:44.921735 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0111473 (* 0.0909091 = 0.00101339 loss) | |
| I0321 19:48:44.921761 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000208266 (* 0.0909091 = 1.89333e-05 loss) | |
| I0321 19:48:44.921788 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000249629 (* 0.0909091 = 2.26936e-05 loss) | |
| I0321 19:48:44.921816 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000324866 (* 0.0909091 = 2.95333e-05 loss) | |
| I0321 19:48:44.921844 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000243009 (* 0.0909091 = 2.20917e-05 loss) | |
| I0321 19:48:44.921869 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000178515 (* 0.0909091 = 1.62286e-05 loss) | |
| I0321 19:48:44.921900 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000297819 (* 0.0909091 = 2.70744e-05 loss) | |
| I0321 19:48:44.921927 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000224521 (* 0.0909091 = 2.0411e-05 loss) | |
| I0321 19:48:44.921953 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000248235 (* 0.0909091 = 2.25668e-05 loss) | |
| I0321 19:48:44.921980 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000236104 (* 0.0909091 = 2.1464e-05 loss) | |
| I0321 19:48:44.922008 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000237698 (* 0.0909091 = 2.16089e-05 loss) | |
| I0321 19:48:44.922034 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000250386 (* 0.0909091 = 2.27624e-05 loss) | |
| I0321 19:48:44.922060 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000277268 (* 0.0909091 = 2.52062e-05 loss) | |
| I0321 19:48:44.922085 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:48:44.922104 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00093547 | |
| I0321 19:48:44.922127 2639 sgd_solver.cpp:106] Iteration 3100, lr = 0.01 | |
| I0321 19:49:06.753607 2639 solver.cpp:229] Iteration 3200, loss = 3.08437 | |
| I0321 19:49:06.753777 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:49:06.753798 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:49:06.753811 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:49:06.753825 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:49:06.753837 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:49:06.753849 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:49:06.753862 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:49:06.753875 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:49:06.753886 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:49:06.753898 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:49:06.753911 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:49:06.753922 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:49:06.753934 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:49:06.753947 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:49:06.753957 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:49:06.753969 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:49:06.753980 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:49:06.753993 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:49:06.754004 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:49:06.754016 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:49:06.754027 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:49:06.754040 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:49:06.754057 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.22526 (* 0.0272727 = 0.0879616 loss) | |
| I0321 19:49:06.754072 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.69249 (* 0.0272727 = 0.100704 loss) | |
| I0321 19:49:06.754087 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.86397 (* 0.0272727 = 0.105381 loss) | |
| I0321 19:49:06.754102 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.83998 (* 0.0272727 = 0.104727 loss) | |
| I0321 19:49:06.754117 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 4.2219 (* 0.0272727 = 0.115143 loss) | |
| I0321 19:49:06.754132 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.61764 (* 0.0272727 = 0.0713902 loss) | |
| I0321 19:49:06.754145 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.54079 (* 0.0272727 = 0.0420215 loss) | |
| I0321 19:49:06.754168 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.559834 (* 0.0272727 = 0.0152682 loss) | |
| I0321 19:49:06.754184 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0495359 (* 0.0272727 = 0.00135098 loss) | |
| I0321 19:49:06.754199 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0269602 (* 0.0272727 = 0.000735278 loss) | |
| I0321 19:49:06.754215 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00154128 (* 0.0272727 = 4.20349e-05 loss) | |
| I0321 19:49:06.754230 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00238109 (* 0.0272727 = 6.49388e-05 loss) | |
| I0321 19:49:06.754243 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00307119 (* 0.0272727 = 8.37596e-05 loss) | |
| I0321 19:49:06.754258 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.0026382 (* 0.0272727 = 7.1951e-05 loss) | |
| I0321 19:49:06.754273 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00142959 (* 0.0272727 = 3.89888e-05 loss) | |
| I0321 19:49:06.754288 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00257602 (* 0.0272727 = 7.0255e-05 loss) | |
| I0321 19:49:06.754302 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00210382 (* 0.0272727 = 5.73769e-05 loss) | |
| I0321 19:49:06.754338 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00183758 (* 0.0272727 = 5.01158e-05 loss) | |
| I0321 19:49:06.754354 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00130065 (* 0.0272727 = 3.54724e-05 loss) | |
| I0321 19:49:06.754369 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00192926 (* 0.0272727 = 5.26161e-05 loss) | |
| I0321 19:49:06.754384 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00334407 (* 0.0272727 = 9.12018e-05 loss) | |
| I0321 19:49:06.754398 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00260156 (* 0.0272727 = 7.09516e-05 loss) | |
| I0321 19:49:06.754411 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:49:06.754425 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:49:06.754436 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:49:06.754448 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:49:06.754461 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:49:06.754472 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:49:06.754484 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:49:06.754497 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:49:06.754508 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:49:06.754519 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:49:06.754531 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:49:06.754544 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:49:06.754554 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:49:06.754566 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:49:06.754578 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:49:06.754590 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:49:06.754601 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:49:06.754612 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:49:06.754624 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:49:06.754637 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:49:06.754648 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:49:06.754659 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:49:06.754678 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.02628 (* 0.0272727 = 0.082535 loss) | |
| I0321 19:49:06.754691 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.42154 (* 0.0272727 = 0.0933148 loss) | |
| I0321 19:49:06.754706 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 4.1191 (* 0.0272727 = 0.112339 loss) | |
| I0321 19:49:06.754720 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.69684 (* 0.0272727 = 0.100823 loss) | |
| I0321 19:49:06.754735 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 4.26129 (* 0.0272727 = 0.116217 loss) | |
| I0321 19:49:06.754750 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.68095 (* 0.0272727 = 0.0731168 loss) | |
| I0321 19:49:06.754763 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.56139 (* 0.0272727 = 0.0425833 loss) | |
| I0321 19:49:06.754778 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.37539 (* 0.0272727 = 0.0102379 loss) | |
| I0321 19:49:06.754796 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.076313 (* 0.0272727 = 0.00208126 loss) | |
| I0321 19:49:06.754812 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0179938 (* 0.0272727 = 0.00049074 loss) | |
| I0321 19:49:06.754825 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00148013 (* 0.0272727 = 4.03672e-05 loss) | |
| I0321 19:49:06.754851 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.0021181 (* 0.0272727 = 5.77663e-05 loss) | |
| I0321 19:49:06.754868 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00164827 (* 0.0272727 = 4.49528e-05 loss) | |
| I0321 19:49:06.754883 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00130229 (* 0.0272727 = 3.5517e-05 loss) | |
| I0321 19:49:06.754897 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00277132 (* 0.0272727 = 7.55814e-05 loss) | |
| I0321 19:49:06.754909 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00163433 (* 0.0272727 = 4.45726e-05 loss) | |
| I0321 19:49:06.754919 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00168532 (* 0.0272727 = 4.59634e-05 loss) | |
| I0321 19:49:06.754935 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00187549 (* 0.0272727 = 5.11498e-05 loss) | |
| I0321 19:49:06.754950 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00147618 (* 0.0272727 = 4.02595e-05 loss) | |
| I0321 19:49:06.754966 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.0021295 (* 0.0272727 = 5.80774e-05 loss) | |
| I0321 19:49:06.754979 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.0021507 (* 0.0272727 = 5.86555e-05 loss) | |
| I0321 19:49:06.754994 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.002358 (* 0.0272727 = 6.43091e-05 loss) | |
| I0321 19:49:06.755007 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:49:06.755025 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:49:06.755039 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:49:06.755051 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:49:06.755064 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:49:06.755076 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:49:06.755089 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:49:06.755100 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:49:06.755112 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:49:06.755125 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:49:06.755136 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:49:06.755147 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:49:06.755159 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:49:06.755170 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:49:06.755182 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:49:06.755193 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:49:06.755205 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:49:06.755216 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:49:06.755228 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:49:06.755240 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:49:06.755251 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:49:06.755262 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:49:06.755276 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.16946 (* 0.0909091 = 0.288132 loss) | |
| I0321 19:49:06.755291 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.38106 (* 0.0909091 = 0.307369 loss) | |
| I0321 19:49:06.755306 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 4.17481 (* 0.0909091 = 0.379528 loss) | |
| I0321 19:49:06.755319 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.71405 (* 0.0909091 = 0.337641 loss) | |
| I0321 19:49:06.755333 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 4.14212 (* 0.0909091 = 0.376557 loss) | |
| I0321 19:49:06.755348 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.47595 (* 0.0909091 = 0.225086 loss) | |
| I0321 19:49:06.755373 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.36628 (* 0.0909091 = 0.124207 loss) | |
| I0321 19:49:06.755388 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.464129 (* 0.0909091 = 0.0421935 loss) | |
| I0321 19:49:06.755403 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.102811 (* 0.0909091 = 0.00934647 loss) | |
| I0321 19:49:06.755417 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0163773 (* 0.0909091 = 0.00148885 loss) | |
| I0321 19:49:06.755432 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00143638 (* 0.0909091 = 0.00013058 loss) | |
| I0321 19:49:06.755446 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.0015585 (* 0.0909091 = 0.000141682 loss) | |
| I0321 19:49:06.755461 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00147508 (* 0.0909091 = 0.000134099 loss) | |
| I0321 19:49:06.755476 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.00138022 (* 0.0909091 = 0.000125474 loss) | |
| I0321 19:49:06.755491 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00154901 (* 0.0909091 = 0.000140819 loss) | |
| I0321 19:49:06.755509 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00119985 (* 0.0909091 = 0.000109077 loss) | |
| I0321 19:49:06.755539 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00151899 (* 0.0909091 = 0.00013809 loss) | |
| I0321 19:49:06.755556 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.00128398 (* 0.0909091 = 0.000116726 loss) | |
| I0321 19:49:06.755571 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00143288 (* 0.0909091 = 0.000130261 loss) | |
| I0321 19:49:06.755586 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.00132475 (* 0.0909091 = 0.000120432 loss) | |
| I0321 19:49:06.755601 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.0014305 (* 0.0909091 = 0.000130046 loss) | |
| I0321 19:49:06.755615 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00137689 (* 0.0909091 = 0.000125172 loss) | |
| I0321 19:49:06.755628 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:49:06.755640 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000439655 | |
| I0321 19:49:06.755653 2639 sgd_solver.cpp:106] Iteration 3200, lr = 0.01 | |
| I0321 19:49:28.650362 2639 solver.cpp:229] Iteration 3300, loss = 3.09557 | |
| I0321 19:49:28.650405 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:49:28.650421 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:49:28.650434 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:49:28.650446 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:49:28.650459 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:49:28.650471 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:49:28.650483 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:49:28.650496 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:49:28.650508 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:49:28.650521 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:49:28.650532 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:49:28.650544 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:49:28.650557 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:49:28.650568 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:49:28.650580 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:49:28.650591 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:49:28.650604 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:49:28.650614 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:49:28.650653 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:49:28.650667 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:49:28.650679 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:49:28.650691 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:49:28.650707 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.31495 (* 0.0272727 = 0.0904077 loss) | |
| I0321 19:49:28.650722 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.77264 (* 0.0272727 = 0.10289 loss) | |
| I0321 19:49:28.650739 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.95235 (* 0.0272727 = 0.107791 loss) | |
| I0321 19:49:28.650754 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.03832 (* 0.0272727 = 0.110136 loss) | |
| I0321 19:49:28.650769 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.91978 (* 0.0272727 = 0.106903 loss) | |
| I0321 19:49:28.650784 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 3.57376 (* 0.0272727 = 0.0974663 loss) | |
| I0321 19:49:28.650797 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.19562 (* 0.0272727 = 0.0326079 loss) | |
| I0321 19:49:28.650812 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.613566 (* 0.0272727 = 0.0167336 loss) | |
| I0321 19:49:28.650826 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.945033 (* 0.0272727 = 0.0257736 loss) | |
| I0321 19:49:28.650840 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.931614 (* 0.0272727 = 0.0254077 loss) | |
| I0321 19:49:28.650856 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000842859 (* 0.0272727 = 2.29871e-05 loss) | |
| I0321 19:49:28.650871 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00175376 (* 0.0272727 = 4.78297e-05 loss) | |
| I0321 19:49:28.650885 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00151118 (* 0.0272727 = 4.1214e-05 loss) | |
| I0321 19:49:28.650900 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000825216 (* 0.0272727 = 2.25059e-05 loss) | |
| I0321 19:49:28.650914 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00124079 (* 0.0272727 = 3.38396e-05 loss) | |
| I0321 19:49:28.650928 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00106153 (* 0.0272727 = 2.89508e-05 loss) | |
| I0321 19:49:28.650943 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000645 (* 0.0272727 = 1.75909e-05 loss) | |
| I0321 19:49:28.650956 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00183277 (* 0.0272727 = 4.99846e-05 loss) | |
| I0321 19:49:28.650971 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000699208 (* 0.0272727 = 1.90693e-05 loss) | |
| I0321 19:49:28.650986 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00145245 (* 0.0272727 = 3.96123e-05 loss) | |
| I0321 19:49:28.651000 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00112601 (* 0.0272727 = 3.07095e-05 loss) | |
| I0321 19:49:28.651015 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00169634 (* 0.0272727 = 4.62637e-05 loss) | |
| I0321 19:49:28.651027 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:49:28.651041 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:49:28.651051 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:49:28.651063 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:49:28.651075 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:49:28.651087 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:49:28.651098 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:49:28.651110 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:49:28.651123 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:49:28.651134 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:49:28.651156 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:49:28.651170 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:49:28.651181 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:49:28.651192 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:49:28.651204 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:49:28.651216 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:49:28.651227 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:49:28.651239 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:49:28.651253 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:49:28.651265 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:49:28.651278 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:49:28.651288 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:49:28.651303 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.12087 (* 0.0272727 = 0.0851148 loss) | |
| I0321 19:49:28.651316 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.63672 (* 0.0272727 = 0.0991833 loss) | |
| I0321 19:49:28.651330 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 4.02751 (* 0.0272727 = 0.109841 loss) | |
| I0321 19:49:28.651345 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.78407 (* 0.0272727 = 0.103202 loss) | |
| I0321 19:49:28.651358 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.81045 (* 0.0272727 = 0.103921 loss) | |
| I0321 19:49:28.651372 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.36097 (* 0.0272727 = 0.0916628 loss) | |
| I0321 19:49:28.651386 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.10912 (* 0.0272727 = 0.0302486 loss) | |
| I0321 19:49:28.651401 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.524763 (* 0.0272727 = 0.0143117 loss) | |
| I0321 19:49:28.651415 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.933081 (* 0.0272727 = 0.0254477 loss) | |
| I0321 19:49:28.651429 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 1.08335 (* 0.0272727 = 0.0295458 loss) | |
| I0321 19:49:28.651443 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00116191 (* 0.0272727 = 3.16885e-05 loss) | |
| I0321 19:49:28.651458 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000697226 (* 0.0272727 = 1.90153e-05 loss) | |
| I0321 19:49:28.651473 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.0006107 (* 0.0272727 = 1.66555e-05 loss) | |
| I0321 19:49:28.651486 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000850071 (* 0.0272727 = 2.31838e-05 loss) | |
| I0321 19:49:28.651501 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00104939 (* 0.0272727 = 2.86199e-05 loss) | |
| I0321 19:49:28.651515 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000912761 (* 0.0272727 = 2.48935e-05 loss) | |
| I0321 19:49:28.651530 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000515032 (* 0.0272727 = 1.40463e-05 loss) | |
| I0321 19:49:28.651543 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000865948 (* 0.0272727 = 2.36168e-05 loss) | |
| I0321 19:49:28.651557 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000540239 (* 0.0272727 = 1.47338e-05 loss) | |
| I0321 19:49:28.651572 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000821295 (* 0.0272727 = 2.2399e-05 loss) | |
| I0321 19:49:28.651587 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000947387 (* 0.0272727 = 2.58378e-05 loss) | |
| I0321 19:49:28.651602 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000805957 (* 0.0272727 = 2.19806e-05 loss) | |
| I0321 19:49:28.651613 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.375 | |
| I0321 19:49:28.651625 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:49:28.651648 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:49:28.651660 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:49:28.651672 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:49:28.651684 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:49:28.651695 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:49:28.651707 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:49:28.651720 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:49:28.651731 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:49:28.651742 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:49:28.651753 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:49:28.651765 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:49:28.651777 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:49:28.651792 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:49:28.651803 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:49:28.651815 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:49:28.651828 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:49:28.651839 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:49:28.651850 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:49:28.651861 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:49:28.651873 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:49:28.651887 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.84281 (* 0.0909091 = 0.258437 loss) | |
| I0321 19:49:28.651901 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.71751 (* 0.0909091 = 0.337955 loss) | |
| I0321 19:49:28.651916 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.92219 (* 0.0909091 = 0.356563 loss) | |
| I0321 19:49:28.651931 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.92138 (* 0.0909091 = 0.356489 loss) | |
| I0321 19:49:28.651944 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.95638 (* 0.0909091 = 0.359671 loss) | |
| I0321 19:49:28.651958 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.41786 (* 0.0909091 = 0.310715 loss) | |
| I0321 19:49:28.651973 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.24944 (* 0.0909091 = 0.113585 loss) | |
| I0321 19:49:28.651986 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.644441 (* 0.0909091 = 0.0585856 loss) | |
| I0321 19:49:28.652001 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.972262 (* 0.0909091 = 0.0883875 loss) | |
| I0321 19:49:28.652015 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 1.02739 (* 0.0909091 = 0.0933995 loss) | |
| I0321 19:49:28.652029 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000352802 (* 0.0909091 = 3.20729e-05 loss) | |
| I0321 19:49:28.652045 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000272785 (* 0.0909091 = 2.47987e-05 loss) | |
| I0321 19:49:28.652082 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000274997 (* 0.0909091 = 2.49997e-05 loss) | |
| I0321 19:49:28.652098 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000290553 (* 0.0909091 = 2.64139e-05 loss) | |
| I0321 19:49:28.652113 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000245749 (* 0.0909091 = 2.23408e-05 loss) | |
| I0321 19:49:28.652127 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000316419 (* 0.0909091 = 2.87654e-05 loss) | |
| I0321 19:49:28.652143 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000335496 (* 0.0909091 = 3.04996e-05 loss) | |
| I0321 19:49:28.652156 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000254228 (* 0.0909091 = 2.31117e-05 loss) | |
| I0321 19:49:28.652182 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000268724 (* 0.0909091 = 2.44294e-05 loss) | |
| I0321 19:49:28.652199 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.00028107 (* 0.0909091 = 2.55518e-05 loss) | |
| I0321 19:49:28.652214 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00037111 (* 0.0909091 = 3.37372e-05 loss) | |
| I0321 19:49:28.652227 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00033221 (* 0.0909091 = 3.02009e-05 loss) | |
| I0321 19:49:28.652240 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:49:28.652252 2639 solver.cpp:245] Train net output #133: total_confidence = 8.75852e-05 | |
| I0321 19:49:28.652264 2639 sgd_solver.cpp:106] Iteration 3300, lr = 0.01 | |
| I0321 19:49:50.409099 2639 solver.cpp:229] Iteration 3400, loss = 3.01971 | |
| I0321 19:49:50.409241 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:49:50.409260 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:49:50.409273 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:49:50.409293 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:49:50.409307 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:49:50.409318 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:49:50.409330 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:49:50.409343 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.625 | |
| I0321 19:49:50.409354 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:49:50.409366 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:49:50.409379 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:49:50.409390 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:49:50.409404 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:49:50.409417 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:49:50.409430 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:49:50.409441 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:49:50.409452 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:49:50.409464 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:49:50.409476 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:49:50.409488 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:49:50.409499 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:49:50.409512 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:49:50.409528 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 4.35138 (* 0.0272727 = 0.118674 loss) | |
| I0321 19:49:50.409543 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.11156 (* 0.0272727 = 0.112133 loss) | |
| I0321 19:49:50.409557 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 4.20354 (* 0.0272727 = 0.114642 loss) | |
| I0321 19:49:50.409571 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.8398 (* 0.0272727 = 0.104722 loss) | |
| I0321 19:49:50.409585 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.43212 (* 0.0272727 = 0.0663306 loss) | |
| I0321 19:49:50.409600 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.21027 (* 0.0272727 = 0.06028 loss) | |
| I0321 19:49:50.409613 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.46407 (* 0.0272727 = 0.0399291 loss) | |
| I0321 19:49:50.409627 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.8634 (* 0.0272727 = 0.0508201 loss) | |
| I0321 19:49:50.409641 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.45202 (* 0.0272727 = 0.0396004 loss) | |
| I0321 19:49:50.409656 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.899174 (* 0.0272727 = 0.0245229 loss) | |
| I0321 19:49:50.409672 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000401534 (* 0.0272727 = 1.09509e-05 loss) | |
| I0321 19:49:50.409687 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000438923 (* 0.0272727 = 1.19706e-05 loss) | |
| I0321 19:49:50.409703 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000423417 (* 0.0272727 = 1.15477e-05 loss) | |
| I0321 19:49:50.409718 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000229909 (* 0.0272727 = 6.27024e-06 loss) | |
| I0321 19:49:50.409735 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000670646 (* 0.0272727 = 1.82904e-05 loss) | |
| I0321 19:49:50.409751 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000403702 (* 0.0272727 = 1.10101e-05 loss) | |
| I0321 19:49:50.409766 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000389173 (* 0.0272727 = 1.06138e-05 loss) | |
| I0321 19:49:50.409795 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000636902 (* 0.0272727 = 1.73701e-05 loss) | |
| I0321 19:49:50.409809 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000390032 (* 0.0272727 = 1.06372e-05 loss) | |
| I0321 19:49:50.409824 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000513983 (* 0.0272727 = 1.40177e-05 loss) | |
| I0321 19:49:50.409838 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000300969 (* 0.0272727 = 8.20823e-06 loss) | |
| I0321 19:49:50.409853 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000353093 (* 0.0272727 = 9.62981e-06 loss) | |
| I0321 19:49:50.409865 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0 | |
| I0321 19:49:50.409878 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:49:50.409889 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:49:50.409900 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:49:50.409912 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:49:50.409924 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:49:50.409936 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:49:50.409948 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.625 | |
| I0321 19:49:50.409960 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:49:50.409971 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:49:50.409982 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:49:50.409994 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:49:50.410006 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:49:50.410017 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:49:50.410028 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:49:50.410040 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:49:50.410051 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:49:50.410063 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:49:50.410075 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:49:50.410086 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:49:50.410099 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:49:50.410109 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:49:50.410123 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 4.23962 (* 0.0272727 = 0.115626 loss) | |
| I0321 19:49:50.410137 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.94783 (* 0.0272727 = 0.107668 loss) | |
| I0321 19:49:50.410151 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 4.43526 (* 0.0272727 = 0.120962 loss) | |
| I0321 19:49:50.410166 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 4.04303 (* 0.0272727 = 0.110264 loss) | |
| I0321 19:49:50.410179 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.64501 (* 0.0272727 = 0.0721368 loss) | |
| I0321 19:49:50.410194 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.04981 (* 0.0272727 = 0.0559039 loss) | |
| I0321 19:49:50.410208 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.5629 (* 0.0272727 = 0.0426245 loss) | |
| I0321 19:49:50.410223 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.76322 (* 0.0272727 = 0.0480877 loss) | |
| I0321 19:49:50.410236 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.27979 (* 0.0272727 = 0.0349032 loss) | |
| I0321 19:49:50.410250 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.864867 (* 0.0272727 = 0.0235873 loss) | |
| I0321 19:49:50.410269 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000493938 (* 0.0272727 = 1.3471e-05 loss) | |
| I0321 19:49:50.410293 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000539857 (* 0.0272727 = 1.47234e-05 loss) | |
| I0321 19:49:50.410308 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000304491 (* 0.0272727 = 8.30429e-06 loss) | |
| I0321 19:49:50.410323 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000510208 (* 0.0272727 = 1.39148e-05 loss) | |
| I0321 19:49:50.410337 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000443531 (* 0.0272727 = 1.20963e-05 loss) | |
| I0321 19:49:50.410352 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000550277 (* 0.0272727 = 1.50076e-05 loss) | |
| I0321 19:49:50.410367 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000465255 (* 0.0272727 = 1.26888e-05 loss) | |
| I0321 19:49:50.410380 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000366924 (* 0.0272727 = 1.0007e-05 loss) | |
| I0321 19:49:50.410395 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000501385 (* 0.0272727 = 1.36741e-05 loss) | |
| I0321 19:49:50.410409 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000360519 (* 0.0272727 = 9.83235e-06 loss) | |
| I0321 19:49:50.410424 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000510701 (* 0.0272727 = 1.39282e-05 loss) | |
| I0321 19:49:50.410439 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000396181 (* 0.0272727 = 1.08049e-05 loss) | |
| I0321 19:49:50.410451 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:49:50.410464 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:49:50.410475 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:49:50.410486 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:49:50.410498 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:49:50.410511 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:49:50.410522 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:49:50.410533 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.625 | |
| I0321 19:49:50.410545 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:49:50.410557 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:49:50.410569 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:49:50.410580 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:49:50.410593 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:49:50.410604 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:49:50.410615 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:49:50.410626 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:49:50.410639 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:49:50.410650 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:49:50.410661 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:49:50.410672 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:49:50.410683 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:49:50.410696 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:49:50.410709 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 4.40573 (* 0.0909091 = 0.400521 loss) | |
| I0321 19:49:50.410727 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 4.05972 (* 0.0909091 = 0.369065 loss) | |
| I0321 19:49:50.410743 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 4.42124 (* 0.0909091 = 0.401931 loss) | |
| I0321 19:49:50.410758 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 4.00957 (* 0.0909091 = 0.364507 loss) | |
| I0321 19:49:50.410771 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.51578 (* 0.0909091 = 0.228707 loss) | |
| I0321 19:49:50.410785 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.94103 (* 0.0909091 = 0.176457 loss) | |
| I0321 19:49:50.410815 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.5154 (* 0.0909091 = 0.137763 loss) | |
| I0321 19:49:50.410830 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.75982 (* 0.0909091 = 0.159984 loss) | |
| I0321 19:49:50.410845 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 1.23418 (* 0.0909091 = 0.112198 loss) | |
| I0321 19:49:50.410858 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.799271 (* 0.0909091 = 0.072661 loss) | |
| I0321 19:49:50.410873 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000138245 (* 0.0909091 = 1.25678e-05 loss) | |
| I0321 19:49:50.410888 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000108021 (* 0.0909091 = 9.82007e-06 loss) | |
| I0321 19:49:50.410903 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000125696 (* 0.0909091 = 1.14269e-05 loss) | |
| I0321 19:49:50.410917 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000131859 (* 0.0909091 = 1.19872e-05 loss) | |
| I0321 19:49:50.410931 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 8.65224e-05 (* 0.0909091 = 7.86567e-06 loss) | |
| I0321 19:49:50.410946 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000122007 (* 0.0909091 = 1.10915e-05 loss) | |
| I0321 19:49:50.410960 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00011873 (* 0.0909091 = 1.07936e-05 loss) | |
| I0321 19:49:50.410975 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000120584 (* 0.0909091 = 1.09622e-05 loss) | |
| I0321 19:49:50.410989 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000100784 (* 0.0909091 = 9.1622e-06 loss) | |
| I0321 19:49:50.411003 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000119004 (* 0.0909091 = 1.08186e-05 loss) | |
| I0321 19:49:50.411017 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000106135 (* 0.0909091 = 9.64861e-06 loss) | |
| I0321 19:49:50.411032 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000111523 (* 0.0909091 = 1.01384e-05 loss) | |
| I0321 19:49:50.411044 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:49:50.411056 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000716199 | |
| I0321 19:49:50.411069 2639 sgd_solver.cpp:106] Iteration 3400, lr = 0.01 | |
| I0321 19:50:12.380131 2639 solver.cpp:229] Iteration 3500, loss = 3.0059 | |
| I0321 19:50:12.380188 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:50:12.380218 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:50:12.380242 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:50:12.380265 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:50:12.380288 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:50:12.380311 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:50:12.380336 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.5 | |
| I0321 19:50:12.380363 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:50:12.380388 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:50:12.380411 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:50:12.380434 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:50:12.380456 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:50:12.380478 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:50:12.380501 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:50:12.380522 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:50:12.380543 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:50:12.380566 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:50:12.380587 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:50:12.380651 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:50:12.380676 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:50:12.380698 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:50:12.380722 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:50:12.380749 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.46116 (* 0.0272727 = 0.0943953 loss) | |
| I0321 19:50:12.380781 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 4.0233 (* 0.0272727 = 0.109726 loss) | |
| I0321 19:50:12.380810 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.60117 (* 0.0272727 = 0.0982137 loss) | |
| I0321 19:50:12.380841 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.47859 (* 0.0272727 = 0.0948707 loss) | |
| I0321 19:50:12.380870 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.93793 (* 0.0272727 = 0.0801253 loss) | |
| I0321 19:50:12.380897 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.75283 (* 0.0272727 = 0.0478044 loss) | |
| I0321 19:50:12.380924 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.69874 (* 0.0272727 = 0.0463292 loss) | |
| I0321 19:50:12.380951 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.623619 (* 0.0272727 = 0.0170078 loss) | |
| I0321 19:50:12.380980 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0143162 (* 0.0272727 = 0.00039044 loss) | |
| I0321 19:50:12.381006 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00475965 (* 0.0272727 = 0.000129808 loss) | |
| I0321 19:50:12.381034 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000378584 (* 0.0272727 = 1.0325e-05 loss) | |
| I0321 19:50:12.381062 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000332491 (* 0.0272727 = 9.06795e-06 loss) | |
| I0321 19:50:12.381090 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00045478 (* 0.0272727 = 1.24031e-05 loss) | |
| I0321 19:50:12.381117 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000305981 (* 0.0272727 = 8.34495e-06 loss) | |
| I0321 19:50:12.381145 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000424832 (* 0.0272727 = 1.15863e-05 loss) | |
| I0321 19:50:12.381172 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000415927 (* 0.0272727 = 1.13435e-05 loss) | |
| I0321 19:50:12.381198 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000331664 (* 0.0272727 = 9.04539e-06 loss) | |
| I0321 19:50:12.381225 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000404574 (* 0.0272727 = 1.10338e-05 loss) | |
| I0321 19:50:12.381253 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000328397 (* 0.0272727 = 8.95627e-06 loss) | |
| I0321 19:50:12.381280 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000378616 (* 0.0272727 = 1.03259e-05 loss) | |
| I0321 19:50:12.381307 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00042486 (* 0.0272727 = 1.15871e-05 loss) | |
| I0321 19:50:12.381333 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000427485 (* 0.0272727 = 1.16587e-05 loss) | |
| I0321 19:50:12.381356 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:50:12.381379 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:50:12.381402 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:50:12.381423 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:50:12.381445 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:50:12.381467 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:50:12.381490 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.5 | |
| I0321 19:50:12.381512 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:50:12.381533 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:50:12.381556 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:50:12.381594 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:50:12.381618 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:50:12.381640 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:50:12.381661 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:50:12.381687 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:50:12.381710 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:50:12.381731 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:50:12.381753 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:50:12.381774 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:50:12.381795 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:50:12.381820 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:50:12.381844 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:50:12.381870 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.57597 (* 0.0272727 = 0.0975263 loss) | |
| I0321 19:50:12.381896 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.07376 (* 0.0272727 = 0.111103 loss) | |
| I0321 19:50:12.381923 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.53143 (* 0.0272727 = 0.0963119 loss) | |
| I0321 19:50:12.381949 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.50534 (* 0.0272727 = 0.0956001 loss) | |
| I0321 19:50:12.381976 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.055 (* 0.0272727 = 0.0833182 loss) | |
| I0321 19:50:12.382002 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.81447 (* 0.0272727 = 0.0494855 loss) | |
| I0321 19:50:12.382027 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.74852 (* 0.0272727 = 0.0476868 loss) | |
| I0321 19:50:12.382055 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.622606 (* 0.0272727 = 0.0169802 loss) | |
| I0321 19:50:12.382079 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0170766 (* 0.0272727 = 0.000465725 loss) | |
| I0321 19:50:12.382108 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00691008 (* 0.0272727 = 0.000188457 loss) | |
| I0321 19:50:12.382138 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000292206 (* 0.0272727 = 7.96926e-06 loss) | |
| I0321 19:50:12.382170 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000316603 (* 0.0272727 = 8.63462e-06 loss) | |
| I0321 19:50:12.382200 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000341041 (* 0.0272727 = 9.30113e-06 loss) | |
| I0321 19:50:12.382227 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000317307 (* 0.0272727 = 8.65383e-06 loss) | |
| I0321 19:50:12.382254 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000317699 (* 0.0272727 = 8.66453e-06 loss) | |
| I0321 19:50:12.382282 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000404213 (* 0.0272727 = 1.1024e-05 loss) | |
| I0321 19:50:12.382310 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000430831 (* 0.0272727 = 1.17499e-05 loss) | |
| I0321 19:50:12.382335 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000265031 (* 0.0272727 = 7.22813e-06 loss) | |
| I0321 19:50:12.382361 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000357057 (* 0.0272727 = 9.73793e-06 loss) | |
| I0321 19:50:12.382390 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000337278 (* 0.0272727 = 9.19849e-06 loss) | |
| I0321 19:50:12.382416 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00032973 (* 0.0272727 = 8.99264e-06 loss) | |
| I0321 19:50:12.382441 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000382832 (* 0.0272727 = 1.04409e-05 loss) | |
| I0321 19:50:12.382465 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:50:12.382488 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:50:12.382525 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.25 | |
| I0321 19:50:12.382551 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:50:12.382573 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:50:12.382596 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:50:12.382619 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:50:12.382642 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:50:12.382663 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:50:12.382683 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:50:12.382706 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:50:12.382731 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:50:12.382753 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:50:12.382774 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:50:12.382797 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:50:12.382817 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:50:12.382838 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:50:12.382858 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:50:12.382884 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:50:12.382905 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:50:12.382925 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:50:12.382947 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:50:12.382974 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.30582 (* 0.0909091 = 0.300529 loss) | |
| I0321 19:50:12.383000 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.68605 (* 0.0909091 = 0.335095 loss) | |
| I0321 19:50:12.383025 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.39374 (* 0.0909091 = 0.308521 loss) | |
| I0321 19:50:12.383052 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.43383 (* 0.0909091 = 0.312167 loss) | |
| I0321 19:50:12.383079 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.79544 (* 0.0909091 = 0.254131 loss) | |
| I0321 19:50:12.383105 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.71527 (* 0.0909091 = 0.155934 loss) | |
| I0321 19:50:12.383131 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.64533 (* 0.0909091 = 0.149575 loss) | |
| I0321 19:50:12.383157 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.609451 (* 0.0909091 = 0.0554046 loss) | |
| I0321 19:50:12.383183 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0192008 (* 0.0909091 = 0.00174553 loss) | |
| I0321 19:50:12.383210 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00523459 (* 0.0909091 = 0.000475871 loss) | |
| I0321 19:50:12.383237 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000117087 (* 0.0909091 = 1.06442e-05 loss) | |
| I0321 19:50:12.383262 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 7.6451e-05 (* 0.0909091 = 6.9501e-06 loss) | |
| I0321 19:50:12.383288 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 8.23214e-05 (* 0.0909091 = 7.48377e-06 loss) | |
| I0321 19:50:12.383316 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 9.59992e-05 (* 0.0909091 = 8.7272e-06 loss) | |
| I0321 19:50:12.383342 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 7.56765e-05 (* 0.0909091 = 6.87968e-06 loss) | |
| I0321 19:50:12.383368 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 8.62274e-05 (* 0.0909091 = 7.83885e-06 loss) | |
| I0321 19:50:12.383396 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 8.85826e-05 (* 0.0909091 = 8.05296e-06 loss) | |
| I0321 19:50:12.383422 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 7.6972e-05 (* 0.0909091 = 6.99745e-06 loss) | |
| I0321 19:50:12.383471 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 6.6442e-05 (* 0.0909091 = 6.04018e-06 loss) | |
| I0321 19:50:12.383499 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000109445 (* 0.0909091 = 9.94956e-06 loss) | |
| I0321 19:50:12.383527 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 8.67931e-05 (* 0.0909091 = 7.89028e-06 loss) | |
| I0321 19:50:12.383553 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 7.21194e-05 (* 0.0909091 = 6.55631e-06 loss) | |
| I0321 19:50:12.383577 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:50:12.383599 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000247401 | |
| I0321 19:50:12.383620 2639 sgd_solver.cpp:106] Iteration 3500, lr = 0.01 | |
| I0321 19:50:34.218861 2639 solver.cpp:229] Iteration 3600, loss = 3.00629 | |
| I0321 19:50:34.218984 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:50:34.219004 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:50:34.219017 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:50:34.219029 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:50:34.219041 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:50:34.219054 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:50:34.219066 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:50:34.219079 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:50:34.219091 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:50:34.219104 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:50:34.219115 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:50:34.219127 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:50:34.219138 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:50:34.219151 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:50:34.219162 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:50:34.219173 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:50:34.219189 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:50:34.219202 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:50:34.219213 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:50:34.219225 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:50:34.219236 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:50:34.219252 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:50:34.219269 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.61784 (* 0.0272727 = 0.0713957 loss) | |
| I0321 19:50:34.219283 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.85529 (* 0.0272727 = 0.0778714 loss) | |
| I0321 19:50:34.219298 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.12094 (* 0.0272727 = 0.0851164 loss) | |
| I0321 19:50:34.219315 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.57539 (* 0.0272727 = 0.0702379 loss) | |
| I0321 19:50:34.219331 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.25903 (* 0.0272727 = 0.0888828 loss) | |
| I0321 19:50:34.219344 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.48521 (* 0.0272727 = 0.0677784 loss) | |
| I0321 19:50:34.219359 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.12013 (* 0.0272727 = 0.0305489 loss) | |
| I0321 19:50:34.219373 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.424739 (* 0.0272727 = 0.0115838 loss) | |
| I0321 19:50:34.219388 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.122483 (* 0.0272727 = 0.00334043 loss) | |
| I0321 19:50:34.219403 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0575949 (* 0.0272727 = 0.00157077 loss) | |
| I0321 19:50:34.219418 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000977629 (* 0.0272727 = 2.66626e-05 loss) | |
| I0321 19:50:34.219431 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000655378 (* 0.0272727 = 1.78739e-05 loss) | |
| I0321 19:50:34.219446 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000963975 (* 0.0272727 = 2.62902e-05 loss) | |
| I0321 19:50:34.219460 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00160458 (* 0.0272727 = 4.37613e-05 loss) | |
| I0321 19:50:34.219475 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000592484 (* 0.0272727 = 1.61587e-05 loss) | |
| I0321 19:50:34.219490 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.0014994 (* 0.0272727 = 4.08928e-05 loss) | |
| I0321 19:50:34.219503 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000641098 (* 0.0272727 = 1.74845e-05 loss) | |
| I0321 19:50:34.219535 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000745943 (* 0.0272727 = 2.03439e-05 loss) | |
| I0321 19:50:34.219552 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00101714 (* 0.0272727 = 2.77402e-05 loss) | |
| I0321 19:50:34.219565 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00117105 (* 0.0272727 = 3.19378e-05 loss) | |
| I0321 19:50:34.219580 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000760098 (* 0.0272727 = 2.07299e-05 loss) | |
| I0321 19:50:34.219594 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000564285 (* 0.0272727 = 1.53896e-05 loss) | |
| I0321 19:50:34.219607 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:50:34.219620 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:50:34.219633 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:50:34.219645 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.375 | |
| I0321 19:50:34.219657 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:50:34.219676 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:50:34.219687 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:50:34.219701 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:50:34.219712 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:50:34.219723 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:50:34.219743 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:50:34.219754 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:50:34.219766 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:50:34.219777 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:50:34.219789 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:50:34.219800 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:50:34.219812 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:50:34.219823 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:50:34.219835 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:50:34.219846 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:50:34.219858 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:50:34.219869 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:50:34.219883 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.6465 (* 0.0272727 = 0.0721774 loss) | |
| I0321 19:50:34.219897 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.04934 (* 0.0272727 = 0.0831639 loss) | |
| I0321 19:50:34.219912 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.27539 (* 0.0272727 = 0.089329 loss) | |
| I0321 19:50:34.219925 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.75927 (* 0.0272727 = 0.0752527 loss) | |
| I0321 19:50:34.219939 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.21693 (* 0.0272727 = 0.0877345 loss) | |
| I0321 19:50:34.219954 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.36579 (* 0.0272727 = 0.0645216 loss) | |
| I0321 19:50:34.219967 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.04285 (* 0.0272727 = 0.0284413 loss) | |
| I0321 19:50:34.219981 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.450411 (* 0.0272727 = 0.0122839 loss) | |
| I0321 19:50:34.219996 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.170569 (* 0.0272727 = 0.00465189 loss) | |
| I0321 19:50:34.220028 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.056721 (* 0.0272727 = 0.00154694 loss) | |
| I0321 19:50:34.220046 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000670082 (* 0.0272727 = 1.8275e-05 loss) | |
| I0321 19:50:34.220072 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000807809 (* 0.0272727 = 2.20311e-05 loss) | |
| I0321 19:50:34.220088 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000920539 (* 0.0272727 = 2.51056e-05 loss) | |
| I0321 19:50:34.220103 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00096183 (* 0.0272727 = 2.62317e-05 loss) | |
| I0321 19:50:34.220118 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000798315 (* 0.0272727 = 2.17722e-05 loss) | |
| I0321 19:50:34.220131 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000768728 (* 0.0272727 = 2.09653e-05 loss) | |
| I0321 19:50:34.220146 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000533307 (* 0.0272727 = 1.45447e-05 loss) | |
| I0321 19:50:34.220160 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000573942 (* 0.0272727 = 1.5653e-05 loss) | |
| I0321 19:50:34.220175 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000688943 (* 0.0272727 = 1.87894e-05 loss) | |
| I0321 19:50:34.220191 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00103299 (* 0.0272727 = 2.81725e-05 loss) | |
| I0321 19:50:34.220204 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00085723 (* 0.0272727 = 2.3379e-05 loss) | |
| I0321 19:50:34.220219 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000996319 (* 0.0272727 = 2.71723e-05 loss) | |
| I0321 19:50:34.220232 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:50:34.220244 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:50:34.220257 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:50:34.220268 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:50:34.220279 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:50:34.220291 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:50:34.220304 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:50:34.220314 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:50:34.220326 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:50:34.220338 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:50:34.220350 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:50:34.220361 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:50:34.220372 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:50:34.220384 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:50:34.220396 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:50:34.220407 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:50:34.220419 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:50:34.220430 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:50:34.220443 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:50:34.220453 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:50:34.220465 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:50:34.220476 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:50:34.220490 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.8037 (* 0.0909091 = 0.254882 loss) | |
| I0321 19:50:34.220504 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.31416 (* 0.0909091 = 0.301287 loss) | |
| I0321 19:50:34.220518 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.36512 (* 0.0909091 = 0.30592 loss) | |
| I0321 19:50:34.220532 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.01094 (* 0.0909091 = 0.273722 loss) | |
| I0321 19:50:34.220546 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.2726 (* 0.0909091 = 0.297509 loss) | |
| I0321 19:50:34.220571 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.47759 (* 0.0909091 = 0.225235 loss) | |
| I0321 19:50:34.220587 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.09362 (* 0.0909091 = 0.0994201 loss) | |
| I0321 19:50:34.220600 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.506413 (* 0.0909091 = 0.0460375 loss) | |
| I0321 19:50:34.220615 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.121882 (* 0.0909091 = 0.0110802 loss) | |
| I0321 19:50:34.220629 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0322971 (* 0.0909091 = 0.0029361 loss) | |
| I0321 19:50:34.220643 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00021998 (* 0.0909091 = 1.99982e-05 loss) | |
| I0321 19:50:34.220659 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000240416 (* 0.0909091 = 2.1856e-05 loss) | |
| I0321 19:50:34.220672 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000227601 (* 0.0909091 = 2.0691e-05 loss) | |
| I0321 19:50:34.220687 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000223312 (* 0.0909091 = 2.03011e-05 loss) | |
| I0321 19:50:34.220701 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000252068 (* 0.0909091 = 2.29153e-05 loss) | |
| I0321 19:50:34.220718 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000246141 (* 0.0909091 = 2.23764e-05 loss) | |
| I0321 19:50:34.220733 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00023665 (* 0.0909091 = 2.15137e-05 loss) | |
| I0321 19:50:34.220747 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000254596 (* 0.0909091 = 2.31451e-05 loss) | |
| I0321 19:50:34.220762 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000225786 (* 0.0909091 = 2.0526e-05 loss) | |
| I0321 19:50:34.220777 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000244984 (* 0.0909091 = 2.22713e-05 loss) | |
| I0321 19:50:34.220791 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00025582 (* 0.0909091 = 2.32564e-05 loss) | |
| I0321 19:50:34.220805 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000297951 (* 0.0909091 = 2.70865e-05 loss) | |
| I0321 19:50:34.220818 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:50:34.220829 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000317771 | |
| I0321 19:50:34.220841 2639 sgd_solver.cpp:106] Iteration 3600, lr = 0.01 | |
| I0321 19:50:56.142467 2639 solver.cpp:229] Iteration 3700, loss = 2.93647 | |
| I0321 19:50:56.142521 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.5 | |
| I0321 19:50:56.142539 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:50:56.142552 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:50:56.142565 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:50:56.142580 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:50:56.142592 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:50:56.142606 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:50:56.142617 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:50:56.142630 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:50:56.142642 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:50:56.142653 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:50:56.142666 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:50:56.142678 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:50:56.142689 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:50:56.142701 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:50:56.142715 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:50:56.142729 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:50:56.142770 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:50:56.142783 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:50:56.142796 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:50:56.142807 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:50:56.142819 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:50:56.142835 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.364 (* 0.0272727 = 0.0644727 loss) | |
| I0321 19:50:56.142858 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.50264 (* 0.0272727 = 0.0955265 loss) | |
| I0321 19:50:56.142879 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.20782 (* 0.0272727 = 0.0874859 loss) | |
| I0321 19:50:56.142894 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.46012 (* 0.0272727 = 0.0943668 loss) | |
| I0321 19:50:56.142909 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.42561 (* 0.0272727 = 0.0934257 loss) | |
| I0321 19:50:56.142922 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.30446 (* 0.0272727 = 0.0628489 loss) | |
| I0321 19:50:56.142937 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.76088 (* 0.0272727 = 0.0207513 loss) | |
| I0321 19:50:56.142951 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.338585 (* 0.0272727 = 0.00923415 loss) | |
| I0321 19:50:56.142966 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0327122 (* 0.0272727 = 0.000892151 loss) | |
| I0321 19:50:56.142981 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00673381 (* 0.0272727 = 0.000183649 loss) | |
| I0321 19:50:56.142995 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000335971 (* 0.0272727 = 9.16285e-06 loss) | |
| I0321 19:50:56.143009 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000399217 (* 0.0272727 = 1.08877e-05 loss) | |
| I0321 19:50:56.143024 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000266705 (* 0.0272727 = 7.27377e-06 loss) | |
| I0321 19:50:56.143039 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000337559 (* 0.0272727 = 9.20615e-06 loss) | |
| I0321 19:50:56.143054 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000428391 (* 0.0272727 = 1.16834e-05 loss) | |
| I0321 19:50:56.143067 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00024886 (* 0.0272727 = 6.78708e-06 loss) | |
| I0321 19:50:56.143082 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00036125 (* 0.0272727 = 9.85227e-06 loss) | |
| I0321 19:50:56.143096 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000260343 (* 0.0272727 = 7.10027e-06 loss) | |
| I0321 19:50:56.143110 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000432562 (* 0.0272727 = 1.17972e-05 loss) | |
| I0321 19:50:56.143124 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000401103 (* 0.0272727 = 1.09392e-05 loss) | |
| I0321 19:50:56.143139 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000306846 (* 0.0272727 = 8.36852e-06 loss) | |
| I0321 19:50:56.143153 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000327927 (* 0.0272727 = 8.94347e-06 loss) | |
| I0321 19:50:56.143165 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:50:56.143178 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:50:56.143190 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:50:56.143201 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:50:56.143213 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:50:56.143224 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:50:56.143236 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:50:56.143249 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:50:56.143260 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:50:56.143283 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:50:56.143296 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:50:56.143304 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:50:56.143311 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:50:56.143323 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:50:56.143337 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:50:56.143347 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:50:56.143359 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:50:56.143370 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:50:56.143391 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:50:56.143409 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:50:56.143427 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:50:56.143440 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:50:56.143455 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.42186 (* 0.0272727 = 0.0660507 loss) | |
| I0321 19:50:56.143468 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.64199 (* 0.0272727 = 0.099327 loss) | |
| I0321 19:50:56.143482 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.23614 (* 0.0272727 = 0.0882582 loss) | |
| I0321 19:50:56.143496 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.41801 (* 0.0272727 = 0.0932183 loss) | |
| I0321 19:50:56.143510 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.16364 (* 0.0272727 = 0.086281 loss) | |
| I0321 19:50:56.143523 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.47916 (* 0.0272727 = 0.0676133 loss) | |
| I0321 19:50:56.143537 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.705449 (* 0.0272727 = 0.0192395 loss) | |
| I0321 19:50:56.143551 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.295712 (* 0.0272727 = 0.00806487 loss) | |
| I0321 19:50:56.143566 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0559182 (* 0.0272727 = 0.00152504 loss) | |
| I0321 19:50:56.143580 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0145584 (* 0.0272727 = 0.000397047 loss) | |
| I0321 19:50:56.143594 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000314762 (* 0.0272727 = 8.58441e-06 loss) | |
| I0321 19:50:56.143609 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.0003736 (* 0.0272727 = 1.01891e-05 loss) | |
| I0321 19:50:56.143623 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000267568 (* 0.0272727 = 7.29731e-06 loss) | |
| I0321 19:50:56.143641 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000269039 (* 0.0272727 = 7.33744e-06 loss) | |
| I0321 19:50:56.143656 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000375565 (* 0.0272727 = 1.02427e-05 loss) | |
| I0321 19:50:56.143669 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000281085 (* 0.0272727 = 7.66595e-06 loss) | |
| I0321 19:50:56.143684 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000406617 (* 0.0272727 = 1.10895e-05 loss) | |
| I0321 19:50:56.143698 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000320241 (* 0.0272727 = 8.73384e-06 loss) | |
| I0321 19:50:56.143712 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000402908 (* 0.0272727 = 1.09884e-05 loss) | |
| I0321 19:50:56.143726 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000396994 (* 0.0272727 = 1.08271e-05 loss) | |
| I0321 19:50:56.143740 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000313859 (* 0.0272727 = 8.55978e-06 loss) | |
| I0321 19:50:56.143755 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000301384 (* 0.0272727 = 8.21958e-06 loss) | |
| I0321 19:50:56.143769 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.625 | |
| I0321 19:50:56.143793 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:50:56.143806 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:50:56.143817 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:50:56.143829 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:50:56.143841 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:50:56.143853 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:50:56.143865 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:50:56.143877 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:50:56.143888 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:50:56.143899 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:50:56.143910 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:50:56.143923 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:50:56.143934 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:50:56.143944 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:50:56.143956 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:50:56.143967 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:50:56.143978 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:50:56.143990 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:50:56.144001 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:50:56.144013 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:50:56.144024 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:50:56.144037 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.37262 (* 0.0909091 = 0.215693 loss) | |
| I0321 19:50:56.144079 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.75442 (* 0.0909091 = 0.341311 loss) | |
| I0321 19:50:56.144109 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.2657 (* 0.0909091 = 0.296881 loss) | |
| I0321 19:50:56.144132 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.76379 (* 0.0909091 = 0.342163 loss) | |
| I0321 19:50:56.144147 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.36423 (* 0.0909091 = 0.305839 loss) | |
| I0321 19:50:56.144161 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.30187 (* 0.0909091 = 0.209261 loss) | |
| I0321 19:50:56.144176 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.801696 (* 0.0909091 = 0.0728814 loss) | |
| I0321 19:50:56.144191 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.313526 (* 0.0909091 = 0.0285023 loss) | |
| I0321 19:50:56.144204 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0567744 (* 0.0909091 = 0.00516131 loss) | |
| I0321 19:50:56.144218 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0141434 (* 0.0909091 = 0.00128577 loss) | |
| I0321 19:50:56.144233 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 7.80047e-05 (* 0.0909091 = 7.09134e-06 loss) | |
| I0321 19:50:56.144248 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 6.75296e-05 (* 0.0909091 = 6.13905e-06 loss) | |
| I0321 19:50:56.144263 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 6.93317e-05 (* 0.0909091 = 6.30288e-06 loss) | |
| I0321 19:50:56.144276 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 7.35638e-05 (* 0.0909091 = 6.68762e-06 loss) | |
| I0321 19:50:56.144291 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 5.83638e-05 (* 0.0909091 = 5.3058e-06 loss) | |
| I0321 19:50:56.144305 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 8.53385e-05 (* 0.0909091 = 7.75805e-06 loss) | |
| I0321 19:50:56.144320 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 6.59261e-05 (* 0.0909091 = 5.99328e-06 loss) | |
| I0321 19:50:56.144347 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 6.01585e-05 (* 0.0909091 = 5.46895e-06 loss) | |
| I0321 19:50:56.144363 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 6.05467e-05 (* 0.0909091 = 5.50425e-06 loss) | |
| I0321 19:50:56.144377 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 8.26805e-05 (* 0.0909091 = 7.51641e-06 loss) | |
| I0321 19:50:56.144392 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 7.55616e-05 (* 0.0909091 = 6.86924e-06 loss) | |
| I0321 19:50:56.144407 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 6.54717e-05 (* 0.0909091 = 5.95197e-06 loss) | |
| I0321 19:50:56.144419 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:50:56.144430 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000523506 | |
| I0321 19:50:56.144444 2639 sgd_solver.cpp:106] Iteration 3700, lr = 0.01 | |
| I0321 19:51:18.065258 2639 solver.cpp:229] Iteration 3800, loss = 2.93498 | |
| I0321 19:51:18.065403 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:51:18.065433 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:51:18.065454 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:51:18.065475 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:51:18.065497 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:51:18.065520 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:51:18.065542 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.5 | |
| I0321 19:51:18.065565 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:51:18.065589 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:51:18.065613 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:51:18.065632 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:51:18.065654 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:51:18.065678 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:51:18.065699 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:51:18.065719 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:51:18.065737 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:51:18.065750 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:51:18.065762 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:51:18.065773 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:51:18.065785 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:51:18.065796 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:51:18.065809 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:51:18.065824 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.77597 (* 0.0272727 = 0.0757084 loss) | |
| I0321 19:51:18.065840 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.07803 (* 0.0272727 = 0.0839463 loss) | |
| I0321 19:51:18.065853 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.0315 (* 0.0272727 = 0.0826771 loss) | |
| I0321 19:51:18.065868 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.37063 (* 0.0272727 = 0.0919263 loss) | |
| I0321 19:51:18.065882 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.43702 (* 0.0272727 = 0.0664642 loss) | |
| I0321 19:51:18.065896 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.6237 (* 0.0272727 = 0.0715554 loss) | |
| I0321 19:51:18.065910 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.9748 (* 0.0272727 = 0.0538583 loss) | |
| I0321 19:51:18.065924 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.04076 (* 0.0272727 = 0.0283844 loss) | |
| I0321 19:51:18.065939 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0693994 (* 0.0272727 = 0.00189271 loss) | |
| I0321 19:51:18.065953 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0196738 (* 0.0272727 = 0.000536558 loss) | |
| I0321 19:51:18.065968 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000628383 (* 0.0272727 = 1.71377e-05 loss) | |
| I0321 19:51:18.065984 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000663075 (* 0.0272727 = 1.80839e-05 loss) | |
| I0321 19:51:18.065997 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000795062 (* 0.0272727 = 2.16835e-05 loss) | |
| I0321 19:51:18.066011 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000651345 (* 0.0272727 = 1.77639e-05 loss) | |
| I0321 19:51:18.066026 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000495657 (* 0.0272727 = 1.35179e-05 loss) | |
| I0321 19:51:18.066040 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000859126 (* 0.0272727 = 2.34307e-05 loss) | |
| I0321 19:51:18.066056 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00074769 (* 0.0272727 = 2.03915e-05 loss) | |
| I0321 19:51:18.066087 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000673193 (* 0.0272727 = 1.83598e-05 loss) | |
| I0321 19:51:18.066102 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000509284 (* 0.0272727 = 1.38896e-05 loss) | |
| I0321 19:51:18.066117 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000687357 (* 0.0272727 = 1.87461e-05 loss) | |
| I0321 19:51:18.066131 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000602114 (* 0.0272727 = 1.64213e-05 loss) | |
| I0321 19:51:18.066146 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000648826 (* 0.0272727 = 1.76953e-05 loss) | |
| I0321 19:51:18.066159 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:51:18.066170 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:51:18.066182 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:51:18.066195 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:51:18.066205 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:51:18.066217 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:51:18.066229 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.5 | |
| I0321 19:51:18.066249 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:51:18.066262 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:51:18.066272 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:51:18.066283 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:51:18.066295 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:51:18.066306 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:51:18.066318 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:51:18.066329 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:51:18.066341 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:51:18.066352 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:51:18.066365 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:51:18.066375 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:51:18.066386 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:51:18.066398 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:51:18.066409 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:51:18.066426 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.82737 (* 0.0272727 = 0.0771102 loss) | |
| I0321 19:51:18.066442 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.12409 (* 0.0272727 = 0.0852024 loss) | |
| I0321 19:51:18.066457 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.15435 (* 0.0272727 = 0.0860277 loss) | |
| I0321 19:51:18.066470 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.62423 (* 0.0272727 = 0.0988425 loss) | |
| I0321 19:51:18.066484 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.53924 (* 0.0272727 = 0.0692519 loss) | |
| I0321 19:51:18.066498 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.65355 (* 0.0272727 = 0.0723696 loss) | |
| I0321 19:51:18.066514 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 2.12503 (* 0.0272727 = 0.0579554 loss) | |
| I0321 19:51:18.066527 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.0401 (* 0.0272727 = 0.0283665 loss) | |
| I0321 19:51:18.066541 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0805921 (* 0.0272727 = 0.00219797 loss) | |
| I0321 19:51:18.066556 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0223847 (* 0.0272727 = 0.000610492 loss) | |
| I0321 19:51:18.066570 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000843069 (* 0.0272727 = 2.29928e-05 loss) | |
| I0321 19:51:18.066596 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00066766 (* 0.0272727 = 1.82089e-05 loss) | |
| I0321 19:51:18.066612 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000880378 (* 0.0272727 = 2.40103e-05 loss) | |
| I0321 19:51:18.066627 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00121439 (* 0.0272727 = 3.31196e-05 loss) | |
| I0321 19:51:18.066642 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000871288 (* 0.0272727 = 2.37624e-05 loss) | |
| I0321 19:51:18.066655 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000871126 (* 0.0272727 = 2.3758e-05 loss) | |
| I0321 19:51:18.066670 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000985561 (* 0.0272727 = 2.68789e-05 loss) | |
| I0321 19:51:18.066684 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000772854 (* 0.0272727 = 2.10778e-05 loss) | |
| I0321 19:51:18.066699 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000829103 (* 0.0272727 = 2.26119e-05 loss) | |
| I0321 19:51:18.066715 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000871525 (* 0.0272727 = 2.37689e-05 loss) | |
| I0321 19:51:18.066730 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00128771 (* 0.0272727 = 3.51195e-05 loss) | |
| I0321 19:51:18.066745 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000797953 (* 0.0272727 = 2.17623e-05 loss) | |
| I0321 19:51:18.066757 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:51:18.066769 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:51:18.066781 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:51:18.066792 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:51:18.066804 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:51:18.066817 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:51:18.066828 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.5 | |
| I0321 19:51:18.066839 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:51:18.066851 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:51:18.066862 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:51:18.066874 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:51:18.066885 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:51:18.066896 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:51:18.066908 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:51:18.066920 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:51:18.066931 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:51:18.066942 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:51:18.066953 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:51:18.066965 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:51:18.066977 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:51:18.066988 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:51:18.066999 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:51:18.067013 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.6106 (* 0.0909091 = 0.237327 loss) | |
| I0321 19:51:18.067028 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.07278 (* 0.0909091 = 0.279344 loss) | |
| I0321 19:51:18.067042 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.06967 (* 0.0909091 = 0.279061 loss) | |
| I0321 19:51:18.067056 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.32518 (* 0.0909091 = 0.302289 loss) | |
| I0321 19:51:18.067070 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.40081 (* 0.0909091 = 0.218255 loss) | |
| I0321 19:51:18.067085 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.73856 (* 0.0909091 = 0.24896 loss) | |
| I0321 19:51:18.067109 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 2.03095 (* 0.0909091 = 0.184631 loss) | |
| I0321 19:51:18.067124 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.09274 (* 0.0909091 = 0.0993398 loss) | |
| I0321 19:51:18.067138 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0527012 (* 0.0909091 = 0.00479101 loss) | |
| I0321 19:51:18.067152 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0105385 (* 0.0909091 = 0.000958047 loss) | |
| I0321 19:51:18.067167 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000196609 (* 0.0909091 = 1.78736e-05 loss) | |
| I0321 19:51:18.067181 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000151261 (* 0.0909091 = 1.3751e-05 loss) | |
| I0321 19:51:18.067195 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.0001632 (* 0.0909091 = 1.48364e-05 loss) | |
| I0321 19:51:18.067210 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000186913 (* 0.0909091 = 1.69921e-05 loss) | |
| I0321 19:51:18.067224 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000142654 (* 0.0909091 = 1.29686e-05 loss) | |
| I0321 19:51:18.067237 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000193057 (* 0.0909091 = 1.75506e-05 loss) | |
| I0321 19:51:18.067252 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000188335 (* 0.0909091 = 1.71214e-05 loss) | |
| I0321 19:51:18.067266 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000202547 (* 0.0909091 = 1.84133e-05 loss) | |
| I0321 19:51:18.067281 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000171828 (* 0.0909091 = 1.56208e-05 loss) | |
| I0321 19:51:18.067294 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000182216 (* 0.0909091 = 1.65651e-05 loss) | |
| I0321 19:51:18.067308 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000192872 (* 0.0909091 = 1.75338e-05 loss) | |
| I0321 19:51:18.067322 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.0001806 (* 0.0909091 = 1.64182e-05 loss) | |
| I0321 19:51:18.067335 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:51:18.067347 2639 solver.cpp:245] Train net output #133: total_confidence = 9.14524e-05 | |
| I0321 19:51:18.067359 2639 sgd_solver.cpp:106] Iteration 3800, lr = 0.01 | |
| I0321 19:51:39.939230 2639 solver.cpp:229] Iteration 3900, loss = 2.9778 | |
| I0321 19:51:39.939290 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:51:39.939306 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.375 | |
| I0321 19:51:39.939321 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:51:39.939333 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:51:39.939345 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:51:39.939358 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:51:39.939370 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:51:39.939383 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:51:39.939394 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:51:39.939406 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:51:39.939419 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:51:39.939430 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:51:39.939442 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:51:39.939455 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:51:39.939466 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:51:39.939478 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:51:39.939491 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:51:39.939502 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:51:39.939543 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:51:39.939558 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:51:39.939569 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:51:39.939581 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:51:39.939597 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.61908 (* 0.0272727 = 0.0714296 loss) | |
| I0321 19:51:39.939612 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.90806 (* 0.0272727 = 0.106584 loss) | |
| I0321 19:51:39.939627 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.67538 (* 0.0272727 = 0.100238 loss) | |
| I0321 19:51:39.939641 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.50152 (* 0.0272727 = 0.0954959 loss) | |
| I0321 19:51:39.939656 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.20856 (* 0.0272727 = 0.0875063 loss) | |
| I0321 19:51:39.939671 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.546 (* 0.0272727 = 0.0694363 loss) | |
| I0321 19:51:39.939684 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.935407 (* 0.0272727 = 0.0255111 loss) | |
| I0321 19:51:39.939699 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.367801 (* 0.0272727 = 0.0100309 loss) | |
| I0321 19:51:39.939713 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.035656 (* 0.0272727 = 0.000972436 loss) | |
| I0321 19:51:39.939733 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0096495 (* 0.0272727 = 0.000263168 loss) | |
| I0321 19:51:39.939748 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000267746 (* 0.0272727 = 7.30216e-06 loss) | |
| I0321 19:51:39.939762 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000296107 (* 0.0272727 = 8.07565e-06 loss) | |
| I0321 19:51:39.939776 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000417473 (* 0.0272727 = 1.13856e-05 loss) | |
| I0321 19:51:39.939791 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000283542 (* 0.0272727 = 7.73297e-06 loss) | |
| I0321 19:51:39.939805 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00036248 (* 0.0272727 = 9.88583e-06 loss) | |
| I0321 19:51:39.939821 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000266494 (* 0.0272727 = 7.26802e-06 loss) | |
| I0321 19:51:39.939834 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000328725 (* 0.0272727 = 8.96524e-06 loss) | |
| I0321 19:51:39.939849 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000294169 (* 0.0272727 = 8.02279e-06 loss) | |
| I0321 19:51:39.939863 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000312968 (* 0.0272727 = 8.53548e-06 loss) | |
| I0321 19:51:39.939878 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000430239 (* 0.0272727 = 1.17338e-05 loss) | |
| I0321 19:51:39.939893 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000356378 (* 0.0272727 = 9.71941e-06 loss) | |
| I0321 19:51:39.939906 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000311765 (* 0.0272727 = 8.50267e-06 loss) | |
| I0321 19:51:39.939919 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:51:39.939931 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:51:39.939944 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:51:39.939956 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:51:39.939968 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:51:39.939980 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:51:39.939992 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:51:39.940004 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:51:39.940016 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:51:39.940038 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:51:39.940069 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:51:39.940084 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:51:39.940096 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:51:39.940109 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:51:39.940120 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:51:39.940131 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:51:39.940147 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:51:39.940155 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:51:39.940171 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:51:39.940193 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:51:39.940209 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:51:39.940222 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:51:39.940235 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.76189 (* 0.0272727 = 0.0753242 loss) | |
| I0321 19:51:39.940250 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.77127 (* 0.0272727 = 0.102853 loss) | |
| I0321 19:51:39.940264 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.58555 (* 0.0272727 = 0.0977878 loss) | |
| I0321 19:51:39.940279 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.47365 (* 0.0272727 = 0.0947359 loss) | |
| I0321 19:51:39.940294 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.24368 (* 0.0272727 = 0.0884641 loss) | |
| I0321 19:51:39.940307 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.67344 (* 0.0272727 = 0.0729119 loss) | |
| I0321 19:51:39.940321 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.0833 (* 0.0272727 = 0.0295445 loss) | |
| I0321 19:51:39.940335 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.448576 (* 0.0272727 = 0.0122339 loss) | |
| I0321 19:51:39.940351 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0217484 (* 0.0272727 = 0.000593139 loss) | |
| I0321 19:51:39.940366 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00703092 (* 0.0272727 = 0.000191752 loss) | |
| I0321 19:51:39.940379 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000461834 (* 0.0272727 = 1.25955e-05 loss) | |
| I0321 19:51:39.940394 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000380846 (* 0.0272727 = 1.03867e-05 loss) | |
| I0321 19:51:39.940408 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000351053 (* 0.0272727 = 9.57418e-06 loss) | |
| I0321 19:51:39.940423 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000338596 (* 0.0272727 = 9.23442e-06 loss) | |
| I0321 19:51:39.940436 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000339848 (* 0.0272727 = 9.26857e-06 loss) | |
| I0321 19:51:39.940451 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000312612 (* 0.0272727 = 8.52577e-06 loss) | |
| I0321 19:51:39.940465 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000368265 (* 0.0272727 = 1.00436e-05 loss) | |
| I0321 19:51:39.940480 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000282333 (* 0.0272727 = 7.69998e-06 loss) | |
| I0321 19:51:39.940495 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00031785 (* 0.0272727 = 8.66863e-06 loss) | |
| I0321 19:51:39.940508 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000332451 (* 0.0272727 = 9.06684e-06 loss) | |
| I0321 19:51:39.940523 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00041852 (* 0.0272727 = 1.14142e-05 loss) | |
| I0321 19:51:39.940537 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000354686 (* 0.0272727 = 9.67326e-06 loss) | |
| I0321 19:51:39.940549 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:51:39.940562 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.25 | |
| I0321 19:51:39.940587 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:51:39.940599 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:51:39.940611 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:51:39.940623 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:51:39.940635 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:51:39.940646 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:51:39.940659 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:51:39.940670 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:51:39.940681 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:51:39.940692 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:51:39.940703 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:51:39.940716 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:51:39.940727 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:51:39.940738 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:51:39.940749 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:51:39.940762 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:51:39.940775 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:51:39.940788 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:51:39.940799 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:51:39.940810 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:51:39.940824 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.71131 (* 0.0909091 = 0.246483 loss) | |
| I0321 19:51:39.940839 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.87505 (* 0.0909091 = 0.352277 loss) | |
| I0321 19:51:39.940853 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.54996 (* 0.0909091 = 0.322724 loss) | |
| I0321 19:51:39.940867 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.35536 (* 0.0909091 = 0.305033 loss) | |
| I0321 19:51:39.940881 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.07339 (* 0.0909091 = 0.279399 loss) | |
| I0321 19:51:39.940896 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.70566 (* 0.0909091 = 0.245969 loss) | |
| I0321 19:51:39.940910 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.963799 (* 0.0909091 = 0.0876181 loss) | |
| I0321 19:51:39.940925 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.514081 (* 0.0909091 = 0.0467346 loss) | |
| I0321 19:51:39.940940 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0224685 (* 0.0909091 = 0.00204259 loss) | |
| I0321 19:51:39.940954 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0106871 (* 0.0909091 = 0.000971552 loss) | |
| I0321 19:51:39.940968 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00016439 (* 0.0909091 = 1.49446e-05 loss) | |
| I0321 19:51:39.940984 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000117011 (* 0.0909091 = 1.06374e-05 loss) | |
| I0321 19:51:39.940997 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000120908 (* 0.0909091 = 1.09917e-05 loss) | |
| I0321 19:51:39.941012 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000139369 (* 0.0909091 = 1.26699e-05 loss) | |
| I0321 19:51:39.941026 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000105201 (* 0.0909091 = 9.56371e-06 loss) | |
| I0321 19:51:39.941041 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000151283 (* 0.0909091 = 1.3753e-05 loss) | |
| I0321 19:51:39.941056 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000136934 (* 0.0909091 = 1.24485e-05 loss) | |
| I0321 19:51:39.941071 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000127571 (* 0.0909091 = 1.15974e-05 loss) | |
| I0321 19:51:39.941095 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000120951 (* 0.0909091 = 1.09955e-05 loss) | |
| I0321 19:51:39.941112 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000142398 (* 0.0909091 = 1.29453e-05 loss) | |
| I0321 19:51:39.941126 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000157682 (* 0.0909091 = 1.43347e-05 loss) | |
| I0321 19:51:39.941140 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000128325 (* 0.0909091 = 1.16659e-05 loss) | |
| I0321 19:51:39.941154 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:51:39.941165 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00011821 | |
| I0321 19:51:39.941177 2639 sgd_solver.cpp:106] Iteration 3900, lr = 0.01 | |
| I0321 19:52:01.732782 2639 solver.cpp:338] Iteration 4000, Testing net (#0) | |
| I0321 19:52:34.827339 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.106 | |
| I0321 19:52:34.827456 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.07 | |
| I0321 19:52:34.827476 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.059 | |
| I0321 19:52:34.827488 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.07 | |
| I0321 19:52:34.827500 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.165 | |
| I0321 19:52:34.827512 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.511 | |
| I0321 19:52:34.827525 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.813 | |
| I0321 19:52:34.827538 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.921 | |
| I0321 19:52:34.827549 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.974 | |
| I0321 19:52:34.827567 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.991 | |
| I0321 19:52:34.827579 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 1 | |
| I0321 19:52:34.827591 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 1 | |
| I0321 19:52:34.827602 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 1 | |
| I0321 19:52:34.827621 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 1 | |
| I0321 19:52:34.827633 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 1 | |
| I0321 19:52:34.827646 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 1 | |
| I0321 19:52:34.827666 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 1 | |
| I0321 19:52:34.827687 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 1 | |
| I0321 19:52:34.827699 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 1 | |
| I0321 19:52:34.827710 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 1 | |
| I0321 19:52:34.827723 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 1 | |
| I0321 19:52:34.827733 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 1 | |
| I0321 19:52:34.827759 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 3.55199 (* 0.0272727 = 0.0968725 loss) | |
| I0321 19:52:34.827774 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 3.67699 (* 0.0272727 = 0.100281 loss) | |
| I0321 19:52:34.827787 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 3.76281 (* 0.0272727 = 0.102622 loss) | |
| I0321 19:52:34.827802 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 3.72641 (* 0.0272727 = 0.101629 loss) | |
| I0321 19:52:34.827819 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 3.43946 (* 0.0272727 = 0.0938034 loss) | |
| I0321 19:52:34.827833 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 2.33248 (* 0.0272727 = 0.0636132 loss) | |
| I0321 19:52:34.827847 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 0.939508 (* 0.0272727 = 0.025623 loss) | |
| I0321 19:52:34.827863 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 0.478222 (* 0.0272727 = 0.0130424 loss) | |
| I0321 19:52:34.827880 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 0.170454 (* 0.0272727 = 0.00464876 loss) | |
| I0321 19:52:34.827895 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 0.0765848 (* 0.0272727 = 0.00208868 loss) | |
| I0321 19:52:34.827910 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 0.00153866 (* 0.0272727 = 4.19633e-05 loss) | |
| I0321 19:52:34.827924 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 0.0020589 (* 0.0272727 = 5.61517e-05 loss) | |
| I0321 19:52:34.827939 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 0.00167753 (* 0.0272727 = 4.57508e-05 loss) | |
| I0321 19:52:34.827953 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 0.00187986 (* 0.0272727 = 5.12688e-05 loss) | |
| I0321 19:52:34.827968 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 0.00187826 (* 0.0272727 = 5.12252e-05 loss) | |
| I0321 19:52:34.827982 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 0.00139891 (* 0.0272727 = 3.81521e-05 loss) | |
| I0321 19:52:34.827997 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 0.00176856 (* 0.0272727 = 4.82334e-05 loss) | |
| I0321 19:52:34.828011 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 0.00157455 (* 0.0272727 = 4.29423e-05 loss) | |
| I0321 19:52:34.828044 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 0.00171369 (* 0.0272727 = 4.6737e-05 loss) | |
| I0321 19:52:34.828090 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 0.00194269 (* 0.0272727 = 5.29824e-05 loss) | |
| I0321 19:52:34.828105 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 0.00174155 (* 0.0272727 = 4.74969e-05 loss) | |
| I0321 19:52:34.828119 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 0.00205318 (* 0.0272727 = 5.59957e-05 loss) | |
| I0321 19:52:34.828132 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.098 | |
| I0321 19:52:34.828145 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.078 | |
| I0321 19:52:34.828156 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.05 | |
| I0321 19:52:34.828168 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.071 | |
| I0321 19:52:34.828179 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.166 | |
| I0321 19:52:34.828191 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.483 | |
| I0321 19:52:34.828203 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.812 | |
| I0321 19:52:34.828222 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.92 | |
| I0321 19:52:34.828233 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.974 | |
| I0321 19:52:34.828244 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.991 | |
| I0321 19:52:34.828255 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 1 | |
| I0321 19:52:34.828266 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 1 | |
| I0321 19:52:34.828284 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 1 | |
| I0321 19:52:34.828294 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 1 | |
| I0321 19:52:34.828306 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 1 | |
| I0321 19:52:34.828317 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 1 | |
| I0321 19:52:34.828328 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 1 | |
| I0321 19:52:34.828339 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 1 | |
| I0321 19:52:34.828351 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 1 | |
| I0321 19:52:34.828362 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 1 | |
| I0321 19:52:34.828373 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 1 | |
| I0321 19:52:34.828384 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 1 | |
| I0321 19:52:34.828398 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 3.60045 (* 0.0272727 = 0.0981941 loss) | |
| I0321 19:52:34.828413 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 3.70529 (* 0.0272727 = 0.101053 loss) | |
| I0321 19:52:34.828426 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 3.78726 (* 0.0272727 = 0.103289 loss) | |
| I0321 19:52:34.828440 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 3.74618 (* 0.0272727 = 0.102169 loss) | |
| I0321 19:52:34.828454 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 3.44993 (* 0.0272727 = 0.094089 loss) | |
| I0321 19:52:34.828469 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 2.30954 (* 0.0272727 = 0.0629874 loss) | |
| I0321 19:52:34.828486 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 1.00135 (* 0.0272727 = 0.0273096 loss) | |
| I0321 19:52:34.828500 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 0.529391 (* 0.0272727 = 0.0144379 loss) | |
| I0321 19:52:34.828516 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 0.172307 (* 0.0272727 = 0.00469927 loss) | |
| I0321 19:52:34.828529 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 0.0814806 (* 0.0272727 = 0.0022222 loss) | |
| I0321 19:52:34.828543 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 0.0021578 (* 0.0272727 = 5.88491e-05 loss) | |
| I0321 19:52:34.828557 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 0.00239211 (* 0.0272727 = 6.52394e-05 loss) | |
| I0321 19:52:34.828572 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 0.00189556 (* 0.0272727 = 5.16971e-05 loss) | |
| I0321 19:52:34.828599 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 0.00215499 (* 0.0272727 = 5.87724e-05 loss) | |
| I0321 19:52:34.828622 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 0.00143056 (* 0.0272727 = 3.90153e-05 loss) | |
| I0321 19:52:34.828636 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 0.00227465 (* 0.0272727 = 6.20359e-05 loss) | |
| I0321 19:52:34.828651 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 0.00188528 (* 0.0272727 = 5.14169e-05 loss) | |
| I0321 19:52:34.828665 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 0.00176511 (* 0.0272727 = 4.81394e-05 loss) | |
| I0321 19:52:34.828685 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 0.00165279 (* 0.0272727 = 4.50762e-05 loss) | |
| I0321 19:52:34.828699 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 0.00185229 (* 0.0272727 = 5.05169e-05 loss) | |
| I0321 19:52:34.828716 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 0.00231385 (* 0.0272727 = 6.31051e-05 loss) | |
| I0321 19:52:34.828730 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 0.00341746 (* 0.0272727 = 9.32035e-05 loss) | |
| I0321 19:52:34.828743 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0.099 | |
| I0321 19:52:34.828755 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.068 | |
| I0321 19:52:34.828768 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.067 | |
| I0321 19:52:34.828778 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.075 | |
| I0321 19:52:34.828790 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.183 | |
| I0321 19:52:34.828801 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.496 | |
| I0321 19:52:34.828812 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.81 | |
| I0321 19:52:34.828824 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.919 | |
| I0321 19:52:34.828835 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.974 | |
| I0321 19:52:34.828846 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.991 | |
| I0321 19:52:34.828866 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:52:34.828877 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:52:34.828888 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:52:34.828899 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:52:34.828912 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:52:34.828922 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:52:34.828939 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:52:34.828950 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:52:34.828961 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:52:34.828972 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:52:34.828984 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:52:34.828995 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:52:34.829008 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 3.77402 (* 0.0909091 = 0.343093 loss) | |
| I0321 19:52:34.829022 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 3.84706 (* 0.0909091 = 0.349733 loss) | |
| I0321 19:52:34.829035 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 3.88988 (* 0.0909091 = 0.353626 loss) | |
| I0321 19:52:34.829049 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 3.81704 (* 0.0909091 = 0.347004 loss) | |
| I0321 19:52:34.829066 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 3.46382 (* 0.0909091 = 0.314893 loss) | |
| I0321 19:52:34.829080 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 2.2862 (* 0.0909091 = 0.207836 loss) | |
| I0321 19:52:34.829094 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 0.982494 (* 0.0909091 = 0.0893176 loss) | |
| I0321 19:52:34.829118 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 0.463011 (* 0.0909091 = 0.042092 loss) | |
| I0321 19:52:34.829133 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 0.148699 (* 0.0909091 = 0.0135181 loss) | |
| I0321 19:52:34.829149 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 0.0657906 (* 0.0909091 = 0.00598097 loss) | |
| I0321 19:52:34.829161 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 0.0003768 (* 0.0909091 = 3.42545e-05 loss) | |
| I0321 19:52:34.829176 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 0.000357507 (* 0.0909091 = 3.25006e-05 loss) | |
| I0321 19:52:34.829190 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 0.000275999 (* 0.0909091 = 2.50908e-05 loss) | |
| I0321 19:52:34.829205 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 0.000307365 (* 0.0909091 = 2.79423e-05 loss) | |
| I0321 19:52:34.829218 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 0.000271956 (* 0.0909091 = 2.47233e-05 loss) | |
| I0321 19:52:34.829241 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 0.00029238 (* 0.0909091 = 2.658e-05 loss) | |
| I0321 19:52:34.829255 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 0.000311102 (* 0.0909091 = 2.8282e-05 loss) | |
| I0321 19:52:34.829269 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 0.000248068 (* 0.0909091 = 2.25517e-05 loss) | |
| I0321 19:52:34.829283 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 0.000266126 (* 0.0909091 = 2.41933e-05 loss) | |
| I0321 19:52:34.829298 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 0.000247094 (* 0.0909091 = 2.24631e-05 loss) | |
| I0321 19:52:34.829311 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 0.000306306 (* 0.0909091 = 2.7846e-05 loss) | |
| I0321 19:52:34.829329 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 0.000293868 (* 0.0909091 = 2.67153e-05 loss) | |
| I0321 19:52:34.829340 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:52:34.829351 2639 solver.cpp:406] Test net output #133: total_confidence = 0.000313145 | |
| I0321 19:52:34.939734 2639 solver.cpp:229] Iteration 4000, loss = 2.97088 | |
| I0321 19:52:34.939775 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:52:34.939792 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:52:34.939805 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:52:34.939817 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:52:34.939831 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:52:34.939842 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:52:34.939854 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.5 | |
| I0321 19:52:34.939867 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:52:34.939878 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:52:34.939890 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.75 | |
| I0321 19:52:34.939903 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:52:34.939915 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:52:34.939927 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:52:34.939939 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:52:34.939951 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:52:34.939962 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:52:34.939975 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:52:34.939986 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:52:34.939997 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:52:34.940009 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:52:34.940040 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:52:34.940071 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:52:34.940088 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.59822 (* 0.0272727 = 0.0708607 loss) | |
| I0321 19:52:34.940104 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.12038 (* 0.0272727 = 0.0851014 loss) | |
| I0321 19:52:34.940119 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.2733 (* 0.0272727 = 0.0892718 loss) | |
| I0321 19:52:34.940132 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.49408 (* 0.0272727 = 0.0952931 loss) | |
| I0321 19:52:34.940147 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.94692 (* 0.0272727 = 0.0803706 loss) | |
| I0321 19:52:34.940161 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.25107 (* 0.0272727 = 0.0613927 loss) | |
| I0321 19:52:34.940176 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.79363 (* 0.0272727 = 0.0489172 loss) | |
| I0321 19:52:34.940189 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.58565 (* 0.0272727 = 0.0432449 loss) | |
| I0321 19:52:34.940203 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.3457 (* 0.0272727 = 0.0367009 loss) | |
| I0321 19:52:34.940217 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 1.75097 (* 0.0272727 = 0.0477537 loss) | |
| I0321 19:52:34.940232 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00144951 (* 0.0272727 = 3.9532e-05 loss) | |
| I0321 19:52:34.940248 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00116749 (* 0.0272727 = 3.18405e-05 loss) | |
| I0321 19:52:34.940261 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000852281 (* 0.0272727 = 2.3244e-05 loss) | |
| I0321 19:52:34.940275 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000837394 (* 0.0272727 = 2.2838e-05 loss) | |
| I0321 19:52:34.940290 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00084112 (* 0.0272727 = 2.29396e-05 loss) | |
| I0321 19:52:34.940304 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00102964 (* 0.0272727 = 2.80812e-05 loss) | |
| I0321 19:52:34.940320 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000873227 (* 0.0272727 = 2.38153e-05 loss) | |
| I0321 19:52:34.940333 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000847256 (* 0.0272727 = 2.3107e-05 loss) | |
| I0321 19:52:34.940348 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00132184 (* 0.0272727 = 3.60503e-05 loss) | |
| I0321 19:52:34.940362 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00173722 (* 0.0272727 = 4.73788e-05 loss) | |
| I0321 19:52:34.940376 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00109749 (* 0.0272727 = 2.99314e-05 loss) | |
| I0321 19:52:34.940390 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000868031 (* 0.0272727 = 2.36736e-05 loss) | |
| I0321 19:52:34.940403 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.375 | |
| I0321 19:52:34.940415 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:52:34.940428 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:52:34.940439 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:52:34.940451 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:52:34.940462 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:52:34.940474 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.5 | |
| I0321 19:52:34.940485 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:52:34.940497 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:52:34.940508 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.75 | |
| I0321 19:52:34.940521 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:52:34.940532 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:52:34.940556 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:52:34.940568 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:52:34.940580 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:52:34.940592 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:52:34.940603 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:52:34.940614 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:52:34.940626 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:52:34.940637 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:52:34.940649 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:52:34.940660 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:52:34.940675 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.53179 (* 0.0272727 = 0.0690487 loss) | |
| I0321 19:52:34.940690 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.98448 (* 0.0272727 = 0.0813948 loss) | |
| I0321 19:52:34.940706 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 2.86742 (* 0.0272727 = 0.0782024 loss) | |
| I0321 19:52:34.940721 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.30272 (* 0.0272727 = 0.0900743 loss) | |
| I0321 19:52:34.940735 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.09759 (* 0.0272727 = 0.0844798 loss) | |
| I0321 19:52:34.940749 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.1635 (* 0.0272727 = 0.0590047 loss) | |
| I0321 19:52:34.940763 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.81574 (* 0.0272727 = 0.0495202 loss) | |
| I0321 19:52:34.940780 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.5918 (* 0.0272727 = 0.0434127 loss) | |
| I0321 19:52:34.940794 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.34628 (* 0.0272727 = 0.0367166 loss) | |
| I0321 19:52:34.940809 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 1.64807 (* 0.0272727 = 0.0449474 loss) | |
| I0321 19:52:34.940824 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00169224 (* 0.0272727 = 4.6152e-05 loss) | |
| I0321 19:52:34.940837 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00101789 (* 0.0272727 = 2.77605e-05 loss) | |
| I0321 19:52:34.940851 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00222257 (* 0.0272727 = 6.06156e-05 loss) | |
| I0321 19:52:34.940866 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00144813 (* 0.0272727 = 3.94945e-05 loss) | |
| I0321 19:52:34.940881 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00180408 (* 0.0272727 = 4.92023e-05 loss) | |
| I0321 19:52:34.940894 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00149853 (* 0.0272727 = 4.08689e-05 loss) | |
| I0321 19:52:34.940908 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.00140929 (* 0.0272727 = 3.84353e-05 loss) | |
| I0321 19:52:34.940922 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00196874 (* 0.0272727 = 5.3693e-05 loss) | |
| I0321 19:52:34.940937 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.00096978 (* 0.0272727 = 2.64486e-05 loss) | |
| I0321 19:52:34.940951 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00179207 (* 0.0272727 = 4.88745e-05 loss) | |
| I0321 19:52:34.940965 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00182916 (* 0.0272727 = 4.98863e-05 loss) | |
| I0321 19:52:34.940980 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00161333 (* 0.0272727 = 4.4e-05 loss) | |
| I0321 19:52:34.940992 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:52:34.941004 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:52:34.941016 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:52:34.941028 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:52:34.941040 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:52:34.941061 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:52:34.941074 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.5 | |
| I0321 19:52:34.941087 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:52:34.941097 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:52:34.941109 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.75 | |
| I0321 19:52:34.941120 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:52:34.941131 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:52:34.941143 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:52:34.941154 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:52:34.941165 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:52:34.941176 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:52:34.941189 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:52:34.941200 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:52:34.941211 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:52:34.941222 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:52:34.941233 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:52:34.941246 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:52:34.941258 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.36643 (* 0.0909091 = 0.21513 loss) | |
| I0321 19:52:34.941272 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.35793 (* 0.0909091 = 0.305266 loss) | |
| I0321 19:52:34.941287 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 2.95669 (* 0.0909091 = 0.26879 loss) | |
| I0321 19:52:34.941300 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.432 (* 0.0909091 = 0.312 loss) | |
| I0321 19:52:34.941315 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.88454 (* 0.0909091 = 0.262231 loss) | |
| I0321 19:52:34.941329 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.03508 (* 0.0909091 = 0.185007 loss) | |
| I0321 19:52:34.941344 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.65554 (* 0.0909091 = 0.150504 loss) | |
| I0321 19:52:34.941357 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.61594 (* 0.0909091 = 0.146903 loss) | |
| I0321 19:52:34.941371 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 1.25411 (* 0.0909091 = 0.11401 loss) | |
| I0321 19:52:34.941385 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 1.49741 (* 0.0909091 = 0.136128 loss) | |
| I0321 19:52:34.941400 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00115799 (* 0.0909091 = 0.000105272 loss) | |
| I0321 19:52:34.941413 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.00161315 (* 0.0909091 = 0.00014665 loss) | |
| I0321 19:52:34.941427 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00136062 (* 0.0909091 = 0.000123693 loss) | |
| I0321 19:52:34.941442 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.001361 (* 0.0909091 = 0.000123727 loss) | |
| I0321 19:52:34.941455 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00167858 (* 0.0909091 = 0.000152598 loss) | |
| I0321 19:52:34.941469 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.0016157 (* 0.0909091 = 0.000146882 loss) | |
| I0321 19:52:34.941483 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.00159341 (* 0.0909091 = 0.000144856 loss) | |
| I0321 19:52:34.941498 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.00168724 (* 0.0909091 = 0.000153385 loss) | |
| I0321 19:52:34.941511 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00153139 (* 0.0909091 = 0.000139218 loss) | |
| I0321 19:52:34.941526 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.00141804 (* 0.0909091 = 0.000128913 loss) | |
| I0321 19:52:34.941550 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00144424 (* 0.0909091 = 0.000131295 loss) | |
| I0321 19:52:34.941570 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00174986 (* 0.0909091 = 0.000159079 loss) | |
| I0321 19:52:34.941582 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:52:34.941594 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00129998 | |
| I0321 19:52:34.941608 2639 sgd_solver.cpp:106] Iteration 4000, lr = 0.01 | |
| I0321 19:52:56.674183 2639 solver.cpp:229] Iteration 4100, loss = 2.94918 | |
| I0321 19:52:56.674239 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:52:56.674257 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:52:56.674270 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:52:56.674283 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:52:56.674295 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:52:56.674307 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:52:56.674319 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:52:56.674331 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:52:56.674345 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:52:56.674355 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:52:56.674367 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:52:56.674379 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:52:56.674391 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:52:56.674410 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:52:56.674423 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:52:56.674435 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:52:56.674448 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:52:56.674458 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:52:56.674470 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:52:56.674489 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:52:56.674501 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:52:56.674513 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:52:56.674530 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.94444 (* 0.0272727 = 0.0803029 loss) | |
| I0321 19:52:56.674553 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.73525 (* 0.0272727 = 0.101871 loss) | |
| I0321 19:52:56.674568 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.08076 (* 0.0272727 = 0.0840207 loss) | |
| I0321 19:52:56.674583 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.97484 (* 0.0272727 = 0.0811319 loss) | |
| I0321 19:52:56.674598 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.55129 (* 0.0272727 = 0.0695807 loss) | |
| I0321 19:52:56.674612 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.53862 (* 0.0272727 = 0.069235 loss) | |
| I0321 19:52:56.674626 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.03355 (* 0.0272727 = 0.0281876 loss) | |
| I0321 19:52:56.674643 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.051534 (* 0.0272727 = 0.00140547 loss) | |
| I0321 19:52:56.674656 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0101435 (* 0.0272727 = 0.000276641 loss) | |
| I0321 19:52:56.674671 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00709733 (* 0.0272727 = 0.000193563 loss) | |
| I0321 19:52:56.674687 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000585926 (* 0.0272727 = 1.59798e-05 loss) | |
| I0321 19:52:56.674705 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000413785 (* 0.0272727 = 1.1285e-05 loss) | |
| I0321 19:52:56.674757 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000699034 (* 0.0272727 = 1.90646e-05 loss) | |
| I0321 19:52:56.674773 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000476543 (* 0.0272727 = 1.29966e-05 loss) | |
| I0321 19:52:56.674788 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000404352 (* 0.0272727 = 1.10278e-05 loss) | |
| I0321 19:52:56.674803 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000661727 (* 0.0272727 = 1.80471e-05 loss) | |
| I0321 19:52:56.674820 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000518114 (* 0.0272727 = 1.41304e-05 loss) | |
| I0321 19:52:56.674835 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00065538 (* 0.0272727 = 1.7874e-05 loss) | |
| I0321 19:52:56.674849 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000420364 (* 0.0272727 = 1.14645e-05 loss) | |
| I0321 19:52:56.674865 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000638413 (* 0.0272727 = 1.74113e-05 loss) | |
| I0321 19:52:56.674882 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000667637 (* 0.0272727 = 1.82083e-05 loss) | |
| I0321 19:52:56.674897 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000548535 (* 0.0272727 = 1.496e-05 loss) | |
| I0321 19:52:56.674911 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:52:56.674922 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:52:56.674934 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:52:56.674947 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:52:56.674958 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:52:56.674970 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:52:56.674983 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:52:56.674994 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:52:56.675006 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:52:56.675019 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:52:56.675029 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:52:56.675040 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:52:56.675052 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:52:56.675065 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:52:56.675076 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:52:56.675086 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:52:56.675097 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:52:56.675109 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:52:56.675120 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:52:56.675132 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:52:56.675143 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:52:56.675154 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:52:56.675168 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.05664 (* 0.0272727 = 0.083363 loss) | |
| I0321 19:52:56.675182 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.74304 (* 0.0272727 = 0.102083 loss) | |
| I0321 19:52:56.675196 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.03481 (* 0.0272727 = 0.0827675 loss) | |
| I0321 19:52:56.675211 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.10969 (* 0.0272727 = 0.0848096 loss) | |
| I0321 19:52:56.675225 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.49796 (* 0.0272727 = 0.0681263 loss) | |
| I0321 19:52:56.675240 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.68728 (* 0.0272727 = 0.0732895 loss) | |
| I0321 19:52:56.675264 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.05215 (* 0.0272727 = 0.028695 loss) | |
| I0321 19:52:56.675279 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0612313 (* 0.0272727 = 0.00166995 loss) | |
| I0321 19:52:56.675294 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0188308 (* 0.0272727 = 0.000513568 loss) | |
| I0321 19:52:56.675309 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0106981 (* 0.0272727 = 0.000291765 loss) | |
| I0321 19:52:56.675323 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00128749 (* 0.0272727 = 3.51134e-05 loss) | |
| I0321 19:52:56.675338 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000788016 (* 0.0272727 = 2.14914e-05 loss) | |
| I0321 19:52:56.675353 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000906653 (* 0.0272727 = 2.47269e-05 loss) | |
| I0321 19:52:56.675367 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000783488 (* 0.0272727 = 2.13679e-05 loss) | |
| I0321 19:52:56.675382 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00116426 (* 0.0272727 = 3.17525e-05 loss) | |
| I0321 19:52:56.675396 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00097862 (* 0.0272727 = 2.66896e-05 loss) | |
| I0321 19:52:56.675411 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000615985 (* 0.0272727 = 1.67996e-05 loss) | |
| I0321 19:52:56.675426 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.00111078 (* 0.0272727 = 3.0294e-05 loss) | |
| I0321 19:52:56.675441 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000805743 (* 0.0272727 = 2.19748e-05 loss) | |
| I0321 19:52:56.675456 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000934802 (* 0.0272727 = 2.54946e-05 loss) | |
| I0321 19:52:56.675470 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00125952 (* 0.0272727 = 3.43506e-05 loss) | |
| I0321 19:52:56.675485 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00076399 (* 0.0272727 = 2.08361e-05 loss) | |
| I0321 19:52:56.675498 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0 | |
| I0321 19:52:56.675509 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:52:56.675521 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:52:56.675534 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:52:56.675545 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:52:56.675557 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:52:56.675570 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:52:56.675581 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:52:56.675595 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:52:56.675606 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:52:56.675617 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:52:56.675629 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:52:56.675640 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:52:56.675657 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:52:56.675669 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:52:56.675680 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:52:56.675691 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:52:56.675703 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:52:56.675714 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:52:56.675725 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:52:56.675736 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:52:56.675748 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:52:56.675776 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.23867 (* 0.0909091 = 0.294425 loss) | |
| I0321 19:52:56.675792 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.45145 (* 0.0909091 = 0.313768 loss) | |
| I0321 19:52:56.675806 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.30075 (* 0.0909091 = 0.300068 loss) | |
| I0321 19:52:56.675822 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.09288 (* 0.0909091 = 0.281171 loss) | |
| I0321 19:52:56.675835 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.28429 (* 0.0909091 = 0.207663 loss) | |
| I0321 19:52:56.675849 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.39584 (* 0.0909091 = 0.217804 loss) | |
| I0321 19:52:56.675864 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.02589 (* 0.0909091 = 0.0932624 loss) | |
| I0321 19:52:56.675879 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0538875 (* 0.0909091 = 0.00489887 loss) | |
| I0321 19:52:56.675894 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0173971 (* 0.0909091 = 0.00158155 loss) | |
| I0321 19:52:56.675909 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00974437 (* 0.0909091 = 0.000885852 loss) | |
| I0321 19:52:56.675922 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000198256 (* 0.0909091 = 1.80233e-05 loss) | |
| I0321 19:52:56.675937 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000204274 (* 0.0909091 = 1.85704e-05 loss) | |
| I0321 19:52:56.675951 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000230567 (* 0.0909091 = 2.09607e-05 loss) | |
| I0321 19:52:56.675966 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000176453 (* 0.0909091 = 1.60412e-05 loss) | |
| I0321 19:52:56.675981 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000188772 (* 0.0909091 = 1.71611e-05 loss) | |
| I0321 19:52:56.675994 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000196266 (* 0.0909091 = 1.78424e-05 loss) | |
| I0321 19:52:56.676009 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000241824 (* 0.0909091 = 2.1984e-05 loss) | |
| I0321 19:52:56.676024 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000232907 (* 0.0909091 = 2.11734e-05 loss) | |
| I0321 19:52:56.676035 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000257561 (* 0.0909091 = 2.34146e-05 loss) | |
| I0321 19:52:56.676045 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.0001919 (* 0.0909091 = 1.74454e-05 loss) | |
| I0321 19:52:56.676084 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.00019973 (* 0.0909091 = 1.81572e-05 loss) | |
| I0321 19:52:56.676100 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000195892 (* 0.0909091 = 1.78083e-05 loss) | |
| I0321 19:52:56.676116 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:52:56.676128 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000724263 | |
| I0321 19:52:56.676141 2639 sgd_solver.cpp:106] Iteration 4100, lr = 0.01 | |
| I0321 19:53:18.688308 2639 solver.cpp:229] Iteration 4200, loss = 2.9452 | |
| I0321 19:53:18.688464 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:53:18.688485 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.25 | |
| I0321 19:53:18.688498 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:53:18.688511 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:53:18.688524 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.75 | |
| I0321 19:53:18.688535 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.75 | |
| I0321 19:53:18.688547 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:53:18.688560 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:53:18.688571 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:53:18.688583 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:53:18.688596 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:53:18.688607 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:53:18.688619 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:53:18.688632 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:53:18.688642 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:53:18.688654 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:53:18.688669 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:53:18.688681 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:53:18.688694 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:53:18.688705 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:53:18.688716 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:53:18.688729 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:53:18.688745 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.21659 (* 0.0272727 = 0.0604526 loss) | |
| I0321 19:53:18.688760 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.29519 (* 0.0272727 = 0.0898689 loss) | |
| I0321 19:53:18.688774 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.09115 (* 0.0272727 = 0.0843042 loss) | |
| I0321 19:53:18.688788 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.88442 (* 0.0272727 = 0.0786661 loss) | |
| I0321 19:53:18.688802 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 1.5514 (* 0.0272727 = 0.0423109 loss) | |
| I0321 19:53:18.688817 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 0.962377 (* 0.0272727 = 0.0262466 loss) | |
| I0321 19:53:18.688832 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.666662 (* 0.0272727 = 0.0181817 loss) | |
| I0321 19:53:18.688846 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0345224 (* 0.0272727 = 0.000941521 loss) | |
| I0321 19:53:18.688861 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.00862768 (* 0.0272727 = 0.0002353 loss) | |
| I0321 19:53:18.688876 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00501453 (* 0.0272727 = 0.00013676 loss) | |
| I0321 19:53:18.688890 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000270133 (* 0.0272727 = 7.36725e-06 loss) | |
| I0321 19:53:18.688905 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000461229 (* 0.0272727 = 1.2579e-05 loss) | |
| I0321 19:53:18.688920 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000248089 (* 0.0272727 = 6.76606e-06 loss) | |
| I0321 19:53:18.688935 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000294709 (* 0.0272727 = 8.03751e-06 loss) | |
| I0321 19:53:18.688951 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000346732 (* 0.0272727 = 9.45633e-06 loss) | |
| I0321 19:53:18.688964 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000317003 (* 0.0272727 = 8.64553e-06 loss) | |
| I0321 19:53:18.688978 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000447994 (* 0.0272727 = 1.2218e-05 loss) | |
| I0321 19:53:18.689007 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000256742 (* 0.0272727 = 7.00204e-06 loss) | |
| I0321 19:53:18.689023 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000350344 (* 0.0272727 = 9.55484e-06 loss) | |
| I0321 19:53:18.689036 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000361081 (* 0.0272727 = 9.84766e-06 loss) | |
| I0321 19:53:18.689051 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00026579 (* 0.0272727 = 7.24883e-06 loss) | |
| I0321 19:53:18.689065 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000292594 (* 0.0272727 = 7.97984e-06 loss) | |
| I0321 19:53:18.689079 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:53:18.689090 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:53:18.689102 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:53:18.689115 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:53:18.689126 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.625 | |
| I0321 19:53:18.689138 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.75 | |
| I0321 19:53:18.689151 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:53:18.689162 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:53:18.689174 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:53:18.689185 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:53:18.689196 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:53:18.689208 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:53:18.689220 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:53:18.689231 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:53:18.689244 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:53:18.689255 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:53:18.689266 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:53:18.689277 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:53:18.689290 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:53:18.689301 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:53:18.689312 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:53:18.689324 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:53:18.689337 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.1258 (* 0.0272727 = 0.0579762 loss) | |
| I0321 19:53:18.689352 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.44099 (* 0.0272727 = 0.0938452 loss) | |
| I0321 19:53:18.689366 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 2.86183 (* 0.0272727 = 0.07805 loss) | |
| I0321 19:53:18.689380 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.48072 (* 0.0272727 = 0.0676561 loss) | |
| I0321 19:53:18.689394 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 1.44725 (* 0.0272727 = 0.0394703 loss) | |
| I0321 19:53:18.689409 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.11413 (* 0.0272727 = 0.0303854 loss) | |
| I0321 19:53:18.689424 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.740623 (* 0.0272727 = 0.0201988 loss) | |
| I0321 19:53:18.689437 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0289544 (* 0.0272727 = 0.000789666 loss) | |
| I0321 19:53:18.689452 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.00654774 (* 0.0272727 = 0.000178575 loss) | |
| I0321 19:53:18.689466 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00305769 (* 0.0272727 = 8.33916e-05 loss) | |
| I0321 19:53:18.689484 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000272958 (* 0.0272727 = 7.44431e-06 loss) | |
| I0321 19:53:18.689510 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000316758 (* 0.0272727 = 8.63885e-06 loss) | |
| I0321 19:53:18.689527 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000365071 (* 0.0272727 = 9.95648e-06 loss) | |
| I0321 19:53:18.689540 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000296743 (* 0.0272727 = 8.09298e-06 loss) | |
| I0321 19:53:18.689555 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000285892 (* 0.0272727 = 7.79705e-06 loss) | |
| I0321 19:53:18.689570 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000372987 (* 0.0272727 = 1.01724e-05 loss) | |
| I0321 19:53:18.689585 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000295994 (* 0.0272727 = 8.07257e-06 loss) | |
| I0321 19:53:18.689599 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000370008 (* 0.0272727 = 1.00911e-05 loss) | |
| I0321 19:53:18.689615 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000383841 (* 0.0272727 = 1.04684e-05 loss) | |
| I0321 19:53:18.689628 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000342028 (* 0.0272727 = 9.32804e-06 loss) | |
| I0321 19:53:18.689642 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000392692 (* 0.0272727 = 1.07098e-05 loss) | |
| I0321 19:53:18.689657 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000332777 (* 0.0272727 = 9.07573e-06 loss) | |
| I0321 19:53:18.689671 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:53:18.689682 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:53:18.689694 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.25 | |
| I0321 19:53:18.689707 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:53:18.689720 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.75 | |
| I0321 19:53:18.689733 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.75 | |
| I0321 19:53:18.689745 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:53:18.689757 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:53:18.689769 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:53:18.689780 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:53:18.689791 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:53:18.689803 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:53:18.689815 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:53:18.689826 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:53:18.689837 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:53:18.689849 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:53:18.689860 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:53:18.689872 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:53:18.689883 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:53:18.689895 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:53:18.689906 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:53:18.689918 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:53:18.689932 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.12116 (* 0.0909091 = 0.192832 loss) | |
| I0321 19:53:18.689946 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.14011 (* 0.0909091 = 0.285465 loss) | |
| I0321 19:53:18.689961 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 2.73227 (* 0.0909091 = 0.248388 loss) | |
| I0321 19:53:18.689975 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.8834 (* 0.0909091 = 0.262127 loss) | |
| I0321 19:53:18.689990 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 1.49285 (* 0.0909091 = 0.135713 loss) | |
| I0321 19:53:18.690013 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.07595 (* 0.0909091 = 0.0978136 loss) | |
| I0321 19:53:18.690028 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.738521 (* 0.0909091 = 0.0671383 loss) | |
| I0321 19:53:18.690043 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.035378 (* 0.0909091 = 0.00321618 loss) | |
| I0321 19:53:18.690057 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.00846617 (* 0.0909091 = 0.000769652 loss) | |
| I0321 19:53:18.690073 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00459123 (* 0.0909091 = 0.000417385 loss) | |
| I0321 19:53:18.690088 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000125133 (* 0.0909091 = 1.13757e-05 loss) | |
| I0321 19:53:18.690099 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000134557 (* 0.0909091 = 1.22324e-05 loss) | |
| I0321 19:53:18.690117 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000135113 (* 0.0909091 = 1.2283e-05 loss) | |
| I0321 19:53:18.690131 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000139493 (* 0.0909091 = 1.26812e-05 loss) | |
| I0321 19:53:18.690145 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000108878 (* 0.0909091 = 9.89802e-06 loss) | |
| I0321 19:53:18.690160 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000115504 (* 0.0909091 = 1.05004e-05 loss) | |
| I0321 19:53:18.690174 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000126434 (* 0.0909091 = 1.1494e-05 loss) | |
| I0321 19:53:18.690188 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000116984 (* 0.0909091 = 1.06349e-05 loss) | |
| I0321 19:53:18.690201 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000129563 (* 0.0909091 = 1.17785e-05 loss) | |
| I0321 19:53:18.690215 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000124441 (* 0.0909091 = 1.13128e-05 loss) | |
| I0321 19:53:18.690229 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000138539 (* 0.0909091 = 1.25944e-05 loss) | |
| I0321 19:53:18.690243 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000138703 (* 0.0909091 = 1.26093e-05 loss) | |
| I0321 19:53:18.690256 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:53:18.690268 2639 solver.cpp:245] Train net output #133: total_confidence = 0.0014301 | |
| I0321 19:53:18.690280 2639 sgd_solver.cpp:106] Iteration 4200, lr = 0.01 | |
| I0321 19:53:40.498692 2639 solver.cpp:229] Iteration 4300, loss = 2.95528 | |
| I0321 19:53:40.498752 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.5 | |
| I0321 19:53:40.498770 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:53:40.498783 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:53:40.498796 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:53:40.498808 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:53:40.498821 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:53:40.498833 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:53:40.498845 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:53:40.498857 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:53:40.498869 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:53:40.498881 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:53:40.498893 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:53:40.498905 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:53:40.498917 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:53:40.498929 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:53:40.498940 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:53:40.498952 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:53:40.498998 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:53:40.499012 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:53:40.499024 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:53:40.499037 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:53:40.499048 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:53:40.499064 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.15573 (* 0.0272727 = 0.0587927 loss) | |
| I0321 19:53:40.499079 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.40034 (* 0.0272727 = 0.0927366 loss) | |
| I0321 19:53:40.499094 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.17884 (* 0.0272727 = 0.0866957 loss) | |
| I0321 19:53:40.499109 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.22911 (* 0.0272727 = 0.0880665 loss) | |
| I0321 19:53:40.499122 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.15043 (* 0.0272727 = 0.0859209 loss) | |
| I0321 19:53:40.499136 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.53344 (* 0.0272727 = 0.0418211 loss) | |
| I0321 19:53:40.499150 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.993331 (* 0.0272727 = 0.0270909 loss) | |
| I0321 19:53:40.499167 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.060008 (* 0.0272727 = 0.00163658 loss) | |
| I0321 19:53:40.499184 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0125499 (* 0.0272727 = 0.000342269 loss) | |
| I0321 19:53:40.499199 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0046789 (* 0.0272727 = 0.000127606 loss) | |
| I0321 19:53:40.499214 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000278507 (* 0.0272727 = 7.59565e-06 loss) | |
| I0321 19:53:40.499229 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000300215 (* 0.0272727 = 8.18767e-06 loss) | |
| I0321 19:53:40.499243 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000254342 (* 0.0272727 = 6.9366e-06 loss) | |
| I0321 19:53:40.499258 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000248059 (* 0.0272727 = 6.76523e-06 loss) | |
| I0321 19:53:40.499274 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000273827 (* 0.0272727 = 7.468e-06 loss) | |
| I0321 19:53:40.499289 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000251852 (* 0.0272727 = 6.86868e-06 loss) | |
| I0321 19:53:40.499302 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000289254 (* 0.0272727 = 7.88873e-06 loss) | |
| I0321 19:53:40.499316 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000287038 (* 0.0272727 = 7.82832e-06 loss) | |
| I0321 19:53:40.499331 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000418572 (* 0.0272727 = 1.14156e-05 loss) | |
| I0321 19:53:40.499346 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000237849 (* 0.0272727 = 6.4868e-06 loss) | |
| I0321 19:53:40.499361 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000273438 (* 0.0272727 = 7.45741e-06 loss) | |
| I0321 19:53:40.499375 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000216084 (* 0.0272727 = 5.8932e-06 loss) | |
| I0321 19:53:40.499387 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:53:40.499400 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:53:40.499413 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:53:40.499424 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:53:40.499436 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:53:40.499449 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:53:40.499460 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:53:40.499472 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:53:40.499485 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:53:40.499506 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:53:40.499521 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:53:40.499532 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:53:40.499544 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:53:40.499557 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:53:40.499568 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:53:40.499579 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:53:40.499591 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:53:40.499603 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:53:40.499614 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:53:40.499625 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:53:40.499637 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:53:40.499649 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:53:40.499663 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.2444 (* 0.0272727 = 0.061211 loss) | |
| I0321 19:53:40.499677 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.41986 (* 0.0272727 = 0.093269 loss) | |
| I0321 19:53:40.499691 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.07057 (* 0.0272727 = 0.0837428 loss) | |
| I0321 19:53:40.499706 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.35468 (* 0.0272727 = 0.0914912 loss) | |
| I0321 19:53:40.499721 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.20527 (* 0.0272727 = 0.0874163 loss) | |
| I0321 19:53:40.499733 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.82063 (* 0.0272727 = 0.0496537 loss) | |
| I0321 19:53:40.499748 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.999578 (* 0.0272727 = 0.0272612 loss) | |
| I0321 19:53:40.499776 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0600972 (* 0.0272727 = 0.00163901 loss) | |
| I0321 19:53:40.499804 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0127589 (* 0.0272727 = 0.00034797 loss) | |
| I0321 19:53:40.499821 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00515991 (* 0.0272727 = 0.000140725 loss) | |
| I0321 19:53:40.499836 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000378815 (* 0.0272727 = 1.03313e-05 loss) | |
| I0321 19:53:40.499851 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000312718 (* 0.0272727 = 8.52867e-06 loss) | |
| I0321 19:53:40.499866 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000306218 (* 0.0272727 = 8.3514e-06 loss) | |
| I0321 19:53:40.499881 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000450559 (* 0.0272727 = 1.2288e-05 loss) | |
| I0321 19:53:40.499896 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000386299 (* 0.0272727 = 1.05354e-05 loss) | |
| I0321 19:53:40.499909 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000320968 (* 0.0272727 = 8.75368e-06 loss) | |
| I0321 19:53:40.499924 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000445536 (* 0.0272727 = 1.2151e-05 loss) | |
| I0321 19:53:40.499938 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000339811 (* 0.0272727 = 9.26756e-06 loss) | |
| I0321 19:53:40.499953 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000608657 (* 0.0272727 = 1.65997e-05 loss) | |
| I0321 19:53:40.499968 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000404626 (* 0.0272727 = 1.10352e-05 loss) | |
| I0321 19:53:40.499981 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000394732 (* 0.0272727 = 1.07654e-05 loss) | |
| I0321 19:53:40.499996 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000271205 (* 0.0272727 = 7.3965e-06 loss) | |
| I0321 19:53:40.500010 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:53:40.500033 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:53:40.500067 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.25 | |
| I0321 19:53:40.500085 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:53:40.500097 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:53:40.500113 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:53:40.500126 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:53:40.500138 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:53:40.500150 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:53:40.500162 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:53:40.500174 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:53:40.500186 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:53:40.500197 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:53:40.500210 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:53:40.500221 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:53:40.500233 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:53:40.500244 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:53:40.500257 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:53:40.500267 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:53:40.500279 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:53:40.500291 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:53:40.500303 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:53:40.500318 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.42955 (* 0.0909091 = 0.220868 loss) | |
| I0321 19:53:40.500332 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.45461 (* 0.0909091 = 0.314056 loss) | |
| I0321 19:53:40.500346 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.11275 (* 0.0909091 = 0.282977 loss) | |
| I0321 19:53:40.500360 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.4336 (* 0.0909091 = 0.312146 loss) | |
| I0321 19:53:40.500375 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.93226 (* 0.0909091 = 0.266569 loss) | |
| I0321 19:53:40.500388 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.83154 (* 0.0909091 = 0.166504 loss) | |
| I0321 19:53:40.500402 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.00816 (* 0.0909091 = 0.0916512 loss) | |
| I0321 19:53:40.500417 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0823558 (* 0.0909091 = 0.00748689 loss) | |
| I0321 19:53:40.500432 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0211179 (* 0.0909091 = 0.00191981 loss) | |
| I0321 19:53:40.500445 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00636537 (* 0.0909091 = 0.00057867 loss) | |
| I0321 19:53:40.500459 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000516119 (* 0.0909091 = 4.69199e-05 loss) | |
| I0321 19:53:40.500473 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000566652 (* 0.0909091 = 5.15138e-05 loss) | |
| I0321 19:53:40.500488 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000418514 (* 0.0909091 = 3.80467e-05 loss) | |
| I0321 19:53:40.500502 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000466603 (* 0.0909091 = 4.24185e-05 loss) | |
| I0321 19:53:40.500516 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00050015 (* 0.0909091 = 4.54682e-05 loss) | |
| I0321 19:53:40.500530 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00053315 (* 0.0909091 = 4.84682e-05 loss) | |
| I0321 19:53:40.500545 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000547877 (* 0.0909091 = 4.9807e-05 loss) | |
| I0321 19:53:40.500571 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000492659 (* 0.0909091 = 4.47871e-05 loss) | |
| I0321 19:53:40.500587 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000495627 (* 0.0909091 = 4.5057e-05 loss) | |
| I0321 19:53:40.500602 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000442816 (* 0.0909091 = 4.0256e-05 loss) | |
| I0321 19:53:40.500617 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000623519 (* 0.0909091 = 5.66836e-05 loss) | |
| I0321 19:53:40.500630 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.00051042 (* 0.0909091 = 4.64018e-05 loss) | |
| I0321 19:53:40.500643 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:53:40.500655 2639 solver.cpp:245] Train net output #133: total_confidence = 2.28893e-05 | |
| I0321 19:53:40.500669 2639 sgd_solver.cpp:106] Iteration 4300, lr = 0.01 | |
| I0321 19:54:02.266261 2639 solver.cpp:229] Iteration 4400, loss = 2.98203 | |
| I0321 19:54:02.266384 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.5 | |
| I0321 19:54:02.266404 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:54:02.266417 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:54:02.266429 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:54:02.266443 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.5 | |
| I0321 19:54:02.266454 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:54:02.266466 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:54:02.266479 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:54:02.266491 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:54:02.266504 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:54:02.266516 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:54:02.266528 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:54:02.266540 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:54:02.266551 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:54:02.266563 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:54:02.266576 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:54:02.266594 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:54:02.266609 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:54:02.266623 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:54:02.266634 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:54:02.266645 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:54:02.266657 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:54:02.266675 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.34695 (* 0.0272727 = 0.0640076 loss) | |
| I0321 19:54:02.266691 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.17318 (* 0.0272727 = 0.0865414 loss) | |
| I0321 19:54:02.266705 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.02638 (* 0.0272727 = 0.0825376 loss) | |
| I0321 19:54:02.266719 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.67751 (* 0.0272727 = 0.0730231 loss) | |
| I0321 19:54:02.266734 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.11849 (* 0.0272727 = 0.057777 loss) | |
| I0321 19:54:02.266748 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.87164 (* 0.0272727 = 0.0510447 loss) | |
| I0321 19:54:02.266763 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.46064 (* 0.0272727 = 0.0398357 loss) | |
| I0321 19:54:02.266777 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.993574 (* 0.0272727 = 0.0270975 loss) | |
| I0321 19:54:02.266793 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.291154 (* 0.0272727 = 0.00794056 loss) | |
| I0321 19:54:02.266808 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.827377 (* 0.0272727 = 0.0225648 loss) | |
| I0321 19:54:02.266822 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000338403 (* 0.0272727 = 9.22918e-06 loss) | |
| I0321 19:54:02.266837 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000375078 (* 0.0272727 = 1.02294e-05 loss) | |
| I0321 19:54:02.266852 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000483613 (* 0.0272727 = 1.31895e-05 loss) | |
| I0321 19:54:02.266867 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000355988 (* 0.0272727 = 9.70877e-06 loss) | |
| I0321 19:54:02.266882 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000473128 (* 0.0272727 = 1.29035e-05 loss) | |
| I0321 19:54:02.266902 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000263916 (* 0.0272727 = 7.19771e-06 loss) | |
| I0321 19:54:02.266917 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000425354 (* 0.0272727 = 1.16006e-05 loss) | |
| I0321 19:54:02.266947 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000375321 (* 0.0272727 = 1.0236e-05 loss) | |
| I0321 19:54:02.266963 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000395323 (* 0.0272727 = 1.07815e-05 loss) | |
| I0321 19:54:02.266978 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000494001 (* 0.0272727 = 1.34728e-05 loss) | |
| I0321 19:54:02.266993 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000385024 (* 0.0272727 = 1.05007e-05 loss) | |
| I0321 19:54:02.267006 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000464964 (* 0.0272727 = 1.26808e-05 loss) | |
| I0321 19:54:02.267019 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.375 | |
| I0321 19:54:02.267032 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:54:02.267045 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:54:02.267056 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:54:02.267068 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:54:02.267079 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:54:02.267091 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:54:02.267103 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:54:02.267115 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:54:02.267127 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:54:02.267138 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:54:02.267150 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:54:02.267161 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:54:02.267174 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:54:02.267184 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:54:02.267195 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:54:02.267207 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:54:02.267218 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:54:02.267230 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:54:02.267241 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:54:02.267252 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:54:02.267264 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:54:02.267278 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.28694 (* 0.0272727 = 0.062371 loss) | |
| I0321 19:54:02.267292 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.9163 (* 0.0272727 = 0.0795356 loss) | |
| I0321 19:54:02.267307 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.07507 (* 0.0272727 = 0.0838655 loss) | |
| I0321 19:54:02.267320 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.87808 (* 0.0272727 = 0.0784931 loss) | |
| I0321 19:54:02.267334 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.20761 (* 0.0272727 = 0.0602076 loss) | |
| I0321 19:54:02.267349 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.76637 (* 0.0272727 = 0.0481736 loss) | |
| I0321 19:54:02.267364 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.48134 (* 0.0272727 = 0.0404003 loss) | |
| I0321 19:54:02.267377 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.971191 (* 0.0272727 = 0.026487 loss) | |
| I0321 19:54:02.267392 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.338423 (* 0.0272727 = 0.00922971 loss) | |
| I0321 19:54:02.267410 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.788579 (* 0.0272727 = 0.0215067 loss) | |
| I0321 19:54:02.267426 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000292718 (* 0.0272727 = 7.98321e-06 loss) | |
| I0321 19:54:02.267451 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000516141 (* 0.0272727 = 1.40766e-05 loss) | |
| I0321 19:54:02.267465 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000457875 (* 0.0272727 = 1.24875e-05 loss) | |
| I0321 19:54:02.267480 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000260522 (* 0.0272727 = 7.10515e-06 loss) | |
| I0321 19:54:02.267495 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000243877 (* 0.0272727 = 6.6512e-06 loss) | |
| I0321 19:54:02.267510 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000248298 (* 0.0272727 = 6.77177e-06 loss) | |
| I0321 19:54:02.267524 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000464466 (* 0.0272727 = 1.26672e-05 loss) | |
| I0321 19:54:02.267539 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000284867 (* 0.0272727 = 7.76909e-06 loss) | |
| I0321 19:54:02.267554 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000297415 (* 0.0272727 = 8.11133e-06 loss) | |
| I0321 19:54:02.267567 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000300658 (* 0.0272727 = 8.19975e-06 loss) | |
| I0321 19:54:02.267582 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000336608 (* 0.0272727 = 9.18022e-06 loss) | |
| I0321 19:54:02.267596 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000544653 (* 0.0272727 = 1.48542e-05 loss) | |
| I0321 19:54:02.267608 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.375 | |
| I0321 19:54:02.267621 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:54:02.267633 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:54:02.267644 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:54:02.267657 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:54:02.267668 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:54:02.267680 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:54:02.267693 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:54:02.267704 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:54:02.267719 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:54:02.267730 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:54:02.267742 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:54:02.267753 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:54:02.267765 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:54:02.267776 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:54:02.267788 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:54:02.267799 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:54:02.267810 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:54:02.267822 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:54:02.267833 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:54:02.267844 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:54:02.267855 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:54:02.267869 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.46757 (* 0.0909091 = 0.224324 loss) | |
| I0321 19:54:02.267884 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.90996 (* 0.0909091 = 0.264542 loss) | |
| I0321 19:54:02.267899 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.05498 (* 0.0909091 = 0.277725 loss) | |
| I0321 19:54:02.267912 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.97023 (* 0.0909091 = 0.270021 loss) | |
| I0321 19:54:02.267927 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.18804 (* 0.0909091 = 0.198913 loss) | |
| I0321 19:54:02.267951 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.83763 (* 0.0909091 = 0.167057 loss) | |
| I0321 19:54:02.267969 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.62602 (* 0.0909091 = 0.14782 loss) | |
| I0321 19:54:02.267984 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.89857 (* 0.0909091 = 0.0816882 loss) | |
| I0321 19:54:02.267998 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.389334 (* 0.0909091 = 0.035394 loss) | |
| I0321 19:54:02.268013 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.697922 (* 0.0909091 = 0.0634475 loss) | |
| I0321 19:54:02.268028 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 9.20392e-05 (* 0.0909091 = 8.3672e-06 loss) | |
| I0321 19:54:02.268043 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 7.05844e-05 (* 0.0909091 = 6.41677e-06 loss) | |
| I0321 19:54:02.268071 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 8.21329e-05 (* 0.0909091 = 7.46663e-06 loss) | |
| I0321 19:54:02.268088 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 9.60038e-05 (* 0.0909091 = 8.72762e-06 loss) | |
| I0321 19:54:02.268102 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 6.60405e-05 (* 0.0909091 = 6.00368e-06 loss) | |
| I0321 19:54:02.268117 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 8.7186e-05 (* 0.0909091 = 7.926e-06 loss) | |
| I0321 19:54:02.268138 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 7.15977e-05 (* 0.0909091 = 6.50888e-06 loss) | |
| I0321 19:54:02.268153 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 7.50254e-05 (* 0.0909091 = 6.8205e-06 loss) | |
| I0321 19:54:02.268172 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 7.30429e-05 (* 0.0909091 = 6.64026e-06 loss) | |
| I0321 19:54:02.268187 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 9.28891e-05 (* 0.0909091 = 8.44446e-06 loss) | |
| I0321 19:54:02.268203 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 7.7589e-05 (* 0.0909091 = 7.05354e-06 loss) | |
| I0321 19:54:02.268216 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 7.67545e-05 (* 0.0909091 = 6.97768e-06 loss) | |
| I0321 19:54:02.268229 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:54:02.268241 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000998634 | |
| I0321 19:54:02.268254 2639 sgd_solver.cpp:106] Iteration 4400, lr = 0.01 | |
| I0321 19:54:24.202988 2639 solver.cpp:229] Iteration 4500, loss = 2.97509 | |
| I0321 19:54:24.203043 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:54:24.203061 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:54:24.203074 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:54:24.203086 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:54:24.203099 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:54:24.203111 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:54:24.203124 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:54:24.203135 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:54:24.203147 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:54:24.203160 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:54:24.203171 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:54:24.203184 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:54:24.203197 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:54:24.203208 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:54:24.203222 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:54:24.203233 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:54:24.203245 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:54:24.203285 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:54:24.203307 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:54:24.203320 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:54:24.203331 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:54:24.203343 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:54:24.203359 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.31087 (* 0.0272727 = 0.0902965 loss) | |
| I0321 19:54:24.203374 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.68016 (* 0.0272727 = 0.100368 loss) | |
| I0321 19:54:24.203397 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.35572 (* 0.0272727 = 0.0915198 loss) | |
| I0321 19:54:24.203410 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.30547 (* 0.0272727 = 0.0901493 loss) | |
| I0321 19:54:24.203424 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.62451 (* 0.0272727 = 0.0715775 loss) | |
| I0321 19:54:24.203438 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.15447 (* 0.0272727 = 0.0587584 loss) | |
| I0321 19:54:24.203461 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.00146 (* 0.0272727 = 0.0273125 loss) | |
| I0321 19:54:24.203476 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.760861 (* 0.0272727 = 0.0207508 loss) | |
| I0321 19:54:24.203490 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.897631 (* 0.0272727 = 0.0244808 loss) | |
| I0321 19:54:24.203505 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 1.09544 (* 0.0272727 = 0.0298757 loss) | |
| I0321 19:54:24.203519 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000518853 (* 0.0272727 = 1.41505e-05 loss) | |
| I0321 19:54:24.203534 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00032751 (* 0.0272727 = 8.93209e-06 loss) | |
| I0321 19:54:24.203549 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00056144 (* 0.0272727 = 1.5312e-05 loss) | |
| I0321 19:54:24.203564 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000408512 (* 0.0272727 = 1.11412e-05 loss) | |
| I0321 19:54:24.203578 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000359672 (* 0.0272727 = 9.80925e-06 loss) | |
| I0321 19:54:24.203593 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000445716 (* 0.0272727 = 1.21559e-05 loss) | |
| I0321 19:54:24.203608 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000396319 (* 0.0272727 = 1.08087e-05 loss) | |
| I0321 19:54:24.203621 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000490889 (* 0.0272727 = 1.33879e-05 loss) | |
| I0321 19:54:24.203636 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000299918 (* 0.0272727 = 8.17957e-06 loss) | |
| I0321 19:54:24.203650 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000363575 (* 0.0272727 = 9.91569e-06 loss) | |
| I0321 19:54:24.203665 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000370011 (* 0.0272727 = 1.00912e-05 loss) | |
| I0321 19:54:24.203680 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000373472 (* 0.0272727 = 1.01856e-05 loss) | |
| I0321 19:54:24.203691 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.25 | |
| I0321 19:54:24.203703 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:54:24.203716 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:54:24.203727 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:54:24.203739 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:54:24.203752 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:54:24.203763 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:54:24.203778 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:54:24.203790 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:54:24.203814 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:54:24.203826 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:54:24.203838 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:54:24.203850 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:54:24.203865 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:54:24.203877 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:54:24.203888 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:54:24.203902 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:54:24.203913 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:54:24.203925 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:54:24.203943 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:54:24.203955 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:54:24.203968 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:54:24.203981 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.28911 (* 0.0272727 = 0.0897029 loss) | |
| I0321 19:54:24.203995 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.49308 (* 0.0272727 = 0.0952658 loss) | |
| I0321 19:54:24.204015 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.49433 (* 0.0272727 = 0.0952999 loss) | |
| I0321 19:54:24.204030 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.54442 (* 0.0272727 = 0.096666 loss) | |
| I0321 19:54:24.204043 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.65338 (* 0.0272727 = 0.0723648 loss) | |
| I0321 19:54:24.204077 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.06828 (* 0.0272727 = 0.0564075 loss) | |
| I0321 19:54:24.204093 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.856271 (* 0.0272727 = 0.0233528 loss) | |
| I0321 19:54:24.204107 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.600075 (* 0.0272727 = 0.0163657 loss) | |
| I0321 19:54:24.204123 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.796893 (* 0.0272727 = 0.0217335 loss) | |
| I0321 19:54:24.204136 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.854426 (* 0.0272727 = 0.0233025 loss) | |
| I0321 19:54:24.204150 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00029826 (* 0.0272727 = 8.13436e-06 loss) | |
| I0321 19:54:24.204165 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000377856 (* 0.0272727 = 1.03052e-05 loss) | |
| I0321 19:54:24.204180 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000306411 (* 0.0272727 = 8.35666e-06 loss) | |
| I0321 19:54:24.204193 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000314279 (* 0.0272727 = 8.57126e-06 loss) | |
| I0321 19:54:24.204208 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000277973 (* 0.0272727 = 7.58109e-06 loss) | |
| I0321 19:54:24.204222 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000333974 (* 0.0272727 = 9.10839e-06 loss) | |
| I0321 19:54:24.204237 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000387445 (* 0.0272727 = 1.05667e-05 loss) | |
| I0321 19:54:24.204252 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000245781 (* 0.0272727 = 6.70311e-06 loss) | |
| I0321 19:54:24.204267 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000276941 (* 0.0272727 = 7.55294e-06 loss) | |
| I0321 19:54:24.204280 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00027379 (* 0.0272727 = 7.467e-06 loss) | |
| I0321 19:54:24.204295 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000298435 (* 0.0272727 = 8.13914e-06 loss) | |
| I0321 19:54:24.204310 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000246488 (* 0.0272727 = 6.72239e-06 loss) | |
| I0321 19:54:24.204322 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.375 | |
| I0321 19:54:24.204346 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:54:24.204360 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:54:24.204371 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:54:24.204382 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:54:24.204394 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:54:24.204406 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:54:24.204417 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:54:24.204429 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:54:24.204440 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:54:24.204452 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:54:24.204464 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:54:24.204475 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:54:24.204488 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:54:24.204499 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:54:24.204510 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:54:24.204521 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:54:24.204532 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:54:24.204545 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:54:24.204556 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:54:24.204567 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:54:24.204579 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:54:24.204593 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.09312 (* 0.0909091 = 0.281193 loss) | |
| I0321 19:54:24.204607 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.74615 (* 0.0909091 = 0.340559 loss) | |
| I0321 19:54:24.204622 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.64039 (* 0.0909091 = 0.330944 loss) | |
| I0321 19:54:24.204635 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.46152 (* 0.0909091 = 0.314683 loss) | |
| I0321 19:54:24.204649 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.7109 (* 0.0909091 = 0.246446 loss) | |
| I0321 19:54:24.204664 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.16566 (* 0.0909091 = 0.196878 loss) | |
| I0321 19:54:24.204679 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.825065 (* 0.0909091 = 0.0750059 loss) | |
| I0321 19:54:24.204692 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.607256 (* 0.0909091 = 0.0552051 loss) | |
| I0321 19:54:24.204707 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.744421 (* 0.0909091 = 0.0676747 loss) | |
| I0321 19:54:24.204721 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.719211 (* 0.0909091 = 0.0653829 loss) | |
| I0321 19:54:24.204735 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000216647 (* 0.0909091 = 1.96952e-05 loss) | |
| I0321 19:54:24.204751 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000207502 (* 0.0909091 = 1.88638e-05 loss) | |
| I0321 19:54:24.204764 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000227946 (* 0.0909091 = 2.07223e-05 loss) | |
| I0321 19:54:24.204778 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000233052 (* 0.0909091 = 2.11865e-05 loss) | |
| I0321 19:54:24.204793 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000159703 (* 0.0909091 = 1.45185e-05 loss) | |
| I0321 19:54:24.204807 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.00021402 (* 0.0909091 = 1.94564e-05 loss) | |
| I0321 19:54:24.204825 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000165608 (* 0.0909091 = 1.50553e-05 loss) | |
| I0321 19:54:24.204850 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000177608 (* 0.0909091 = 1.61462e-05 loss) | |
| I0321 19:54:24.204866 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000193631 (* 0.0909091 = 1.76028e-05 loss) | |
| I0321 19:54:24.204880 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000216613 (* 0.0909091 = 1.96921e-05 loss) | |
| I0321 19:54:24.204895 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000156528 (* 0.0909091 = 1.42298e-05 loss) | |
| I0321 19:54:24.204913 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000149417 (* 0.0909091 = 1.35834e-05 loss) | |
| I0321 19:54:24.204926 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:54:24.204938 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000163394 | |
| I0321 19:54:24.204951 2639 sgd_solver.cpp:106] Iteration 4500, lr = 0.01 | |
| I0321 19:54:46.252318 2639 solver.cpp:229] Iteration 4600, loss = 2.92545 | |
| I0321 19:54:46.252478 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:54:46.252498 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.25 | |
| I0321 19:54:46.252523 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:54:46.252535 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:54:46.252547 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:54:46.252560 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:54:46.252573 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:54:46.252584 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:54:46.252596 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:54:46.252609 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:54:46.252620 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:54:46.252631 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:54:46.252643 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:54:46.252655 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:54:46.252670 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:54:46.252682 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:54:46.252696 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:54:46.252707 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:54:46.252718 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:54:46.252730 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:54:46.252743 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:54:46.252754 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:54:46.252770 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.65383 (* 0.0272727 = 0.0723772 loss) | |
| I0321 19:54:46.252785 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.98254 (* 0.0272727 = 0.081342 loss) | |
| I0321 19:54:46.252800 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.12169 (* 0.0272727 = 0.085137 loss) | |
| I0321 19:54:46.252815 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.01246 (* 0.0272727 = 0.0821579 loss) | |
| I0321 19:54:46.252830 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.15167 (* 0.0272727 = 0.0859547 loss) | |
| I0321 19:54:46.252845 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.70508 (* 0.0272727 = 0.0465021 loss) | |
| I0321 19:54:46.252858 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.612932 (* 0.0272727 = 0.0167163 loss) | |
| I0321 19:54:46.252885 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.033188 (* 0.0272727 = 0.000905126 loss) | |
| I0321 19:54:46.252900 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0188782 (* 0.0272727 = 0.00051486 loss) | |
| I0321 19:54:46.252915 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0044049 (* 0.0272727 = 0.000120134 loss) | |
| I0321 19:54:46.252930 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000261324 (* 0.0272727 = 7.12702e-06 loss) | |
| I0321 19:54:46.252954 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000501167 (* 0.0272727 = 1.36682e-05 loss) | |
| I0321 19:54:46.252967 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000252319 (* 0.0272727 = 6.88143e-06 loss) | |
| I0321 19:54:46.252982 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000218879 (* 0.0272727 = 5.96943e-06 loss) | |
| I0321 19:54:46.252997 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000329837 (* 0.0272727 = 8.99556e-06 loss) | |
| I0321 19:54:46.253011 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000244634 (* 0.0272727 = 6.67183e-06 loss) | |
| I0321 19:54:46.253026 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000234343 (* 0.0272727 = 6.39116e-06 loss) | |
| I0321 19:54:46.253062 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000414115 (* 0.0272727 = 1.1294e-05 loss) | |
| I0321 19:54:46.253078 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00025623 (* 0.0272727 = 6.9881e-06 loss) | |
| I0321 19:54:46.253093 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000240125 (* 0.0272727 = 6.54886e-06 loss) | |
| I0321 19:54:46.253108 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00028792 (* 0.0272727 = 7.85238e-06 loss) | |
| I0321 19:54:46.253123 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000269356 (* 0.0272727 = 7.34607e-06 loss) | |
| I0321 19:54:46.253135 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:54:46.253149 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.125 | |
| I0321 19:54:46.253160 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:54:46.253172 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:54:46.253185 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:54:46.253196 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:54:46.253208 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:54:46.253221 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:54:46.253232 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:54:46.253243 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:54:46.253254 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:54:46.253267 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:54:46.253278 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:54:46.253289 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:54:46.253300 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:54:46.253312 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:54:46.253324 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:54:46.253335 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:54:46.253346 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:54:46.253358 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:54:46.253371 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:54:46.253378 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:54:46.253393 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.11784 (* 0.0272727 = 0.0577592 loss) | |
| I0321 19:54:46.253408 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.03622 (* 0.0272727 = 0.0828059 loss) | |
| I0321 19:54:46.253422 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.21956 (* 0.0272727 = 0.0878061 loss) | |
| I0321 19:54:46.253437 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.64797 (* 0.0272727 = 0.0722174 loss) | |
| I0321 19:54:46.253451 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.10704 (* 0.0272727 = 0.0847373 loss) | |
| I0321 19:54:46.253465 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.77391 (* 0.0272727 = 0.0483795 loss) | |
| I0321 19:54:46.253486 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.613775 (* 0.0272727 = 0.0167393 loss) | |
| I0321 19:54:46.253500 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0264621 (* 0.0272727 = 0.000721694 loss) | |
| I0321 19:54:46.253515 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0117612 (* 0.0272727 = 0.00032076 loss) | |
| I0321 19:54:46.253530 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00326875 (* 0.0272727 = 8.91477e-05 loss) | |
| I0321 19:54:46.253551 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000415356 (* 0.0272727 = 1.13279e-05 loss) | |
| I0321 19:54:46.253576 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000247341 (* 0.0272727 = 6.74567e-06 loss) | |
| I0321 19:54:46.253592 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000254903 (* 0.0272727 = 6.95191e-06 loss) | |
| I0321 19:54:46.253613 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000233669 (* 0.0272727 = 6.37278e-06 loss) | |
| I0321 19:54:46.253628 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000214945 (* 0.0272727 = 5.86213e-06 loss) | |
| I0321 19:54:46.253641 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000195655 (* 0.0272727 = 5.33605e-06 loss) | |
| I0321 19:54:46.253656 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000294277 (* 0.0272727 = 8.02575e-06 loss) | |
| I0321 19:54:46.253670 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000322708 (* 0.0272727 = 8.80113e-06 loss) | |
| I0321 19:54:46.253685 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000317747 (* 0.0272727 = 8.66583e-06 loss) | |
| I0321 19:54:46.253708 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000354856 (* 0.0272727 = 9.6779e-06 loss) | |
| I0321 19:54:46.253726 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000242766 (* 0.0272727 = 6.62089e-06 loss) | |
| I0321 19:54:46.253741 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000277777 (* 0.0272727 = 7.57575e-06 loss) | |
| I0321 19:54:46.253753 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:54:46.253765 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:54:46.253777 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:54:46.253788 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:54:46.253800 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:54:46.253811 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.75 | |
| I0321 19:54:46.253823 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:54:46.253835 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:54:46.253846 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:54:46.253857 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:54:46.253870 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:54:46.253881 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:54:46.253892 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:54:46.253903 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:54:46.253916 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:54:46.253931 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:54:46.253942 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:54:46.253953 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:54:46.253965 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:54:46.253976 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:54:46.253988 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:54:46.253999 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:54:46.254014 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.34205 (* 0.0909091 = 0.212914 loss) | |
| I0321 19:54:46.254027 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.05891 (* 0.0909091 = 0.278083 loss) | |
| I0321 19:54:46.254042 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.3256 (* 0.0909091 = 0.302327 loss) | |
| I0321 19:54:46.254056 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.92931 (* 0.0909091 = 0.266301 loss) | |
| I0321 19:54:46.254070 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.00823 (* 0.0909091 = 0.273475 loss) | |
| I0321 19:54:46.254096 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.76081 (* 0.0909091 = 0.160074 loss) | |
| I0321 19:54:46.254111 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.577563 (* 0.0909091 = 0.0525057 loss) | |
| I0321 19:54:46.254124 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.037243 (* 0.0909091 = 0.00338573 loss) | |
| I0321 19:54:46.254139 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0252008 (* 0.0909091 = 0.00229098 loss) | |
| I0321 19:54:46.254154 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00612392 (* 0.0909091 = 0.00055672 loss) | |
| I0321 19:54:46.254168 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000303858 (* 0.0909091 = 2.76235e-05 loss) | |
| I0321 19:54:46.254182 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000231653 (* 0.0909091 = 2.10594e-05 loss) | |
| I0321 19:54:46.254197 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000244019 (* 0.0909091 = 2.21835e-05 loss) | |
| I0321 19:54:46.254211 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.00028521 (* 0.0909091 = 2.59282e-05 loss) | |
| I0321 19:54:46.254225 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000169273 (* 0.0909091 = 1.53885e-05 loss) | |
| I0321 19:54:46.254240 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000261665 (* 0.0909091 = 2.37878e-05 loss) | |
| I0321 19:54:46.254254 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000249542 (* 0.0909091 = 2.26856e-05 loss) | |
| I0321 19:54:46.254268 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000164569 (* 0.0909091 = 1.49608e-05 loss) | |
| I0321 19:54:46.254283 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000218428 (* 0.0909091 = 1.98571e-05 loss) | |
| I0321 19:54:46.254297 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000303014 (* 0.0909091 = 2.75467e-05 loss) | |
| I0321 19:54:46.254312 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000292515 (* 0.0909091 = 2.65923e-05 loss) | |
| I0321 19:54:46.254326 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000291185 (* 0.0909091 = 2.64714e-05 loss) | |
| I0321 19:54:46.254338 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:54:46.254350 2639 solver.cpp:245] Train net output #133: total_confidence = 5.71588e-05 | |
| I0321 19:54:46.254362 2639 sgd_solver.cpp:106] Iteration 4600, lr = 0.01 | |
| I0321 19:55:08.017191 2639 solver.cpp:229] Iteration 4700, loss = 2.89779 | |
| I0321 19:55:08.017246 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:55:08.017263 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:55:08.017277 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:55:08.017288 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:55:08.017300 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0 | |
| I0321 19:55:08.017313 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.5 | |
| I0321 19:55:08.017325 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:55:08.017338 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:55:08.017352 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:55:08.017365 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:55:08.017377 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:55:08.017390 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:55:08.017401 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:55:08.017413 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:55:08.017426 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:55:08.017437 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:55:08.017449 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:55:08.017491 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:55:08.017504 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:55:08.017518 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:55:08.017529 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:55:08.017549 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:55:08.017565 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.54491 (* 0.0272727 = 0.0694068 loss) | |
| I0321 19:55:08.017580 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.54843 (* 0.0272727 = 0.0967753 loss) | |
| I0321 19:55:08.017595 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 4.0308 (* 0.0272727 = 0.109931 loss) | |
| I0321 19:55:08.017617 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 4.03474 (* 0.0272727 = 0.110038 loss) | |
| I0321 19:55:08.017632 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 4.10629 (* 0.0272727 = 0.11199 loss) | |
| I0321 19:55:08.017645 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.96217 (* 0.0272727 = 0.0535137 loss) | |
| I0321 19:55:08.017660 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.743856 (* 0.0272727 = 0.020287 loss) | |
| I0321 19:55:08.017674 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0858631 (* 0.0272727 = 0.00234172 loss) | |
| I0321 19:55:08.017689 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0191744 (* 0.0272727 = 0.000522939 loss) | |
| I0321 19:55:08.017704 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.011855 (* 0.0272727 = 0.000323318 loss) | |
| I0321 19:55:08.017721 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000483456 (* 0.0272727 = 1.31852e-05 loss) | |
| I0321 19:55:08.017736 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000369406 (* 0.0272727 = 1.00747e-05 loss) | |
| I0321 19:55:08.017751 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000449256 (* 0.0272727 = 1.22524e-05 loss) | |
| I0321 19:55:08.017773 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000465977 (* 0.0272727 = 1.27085e-05 loss) | |
| I0321 19:55:08.017787 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.00047794 (* 0.0272727 = 1.30347e-05 loss) | |
| I0321 19:55:08.017802 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000495075 (* 0.0272727 = 1.3502e-05 loss) | |
| I0321 19:55:08.017817 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000504948 (* 0.0272727 = 1.37713e-05 loss) | |
| I0321 19:55:08.017835 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000439964 (* 0.0272727 = 1.1999e-05 loss) | |
| I0321 19:55:08.017850 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000546033 (* 0.0272727 = 1.48918e-05 loss) | |
| I0321 19:55:08.017864 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000367747 (* 0.0272727 = 1.00295e-05 loss) | |
| I0321 19:55:08.017879 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.00041228 (* 0.0272727 = 1.1244e-05 loss) | |
| I0321 19:55:08.017894 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00049941 (* 0.0272727 = 1.36203e-05 loss) | |
| I0321 19:55:08.017905 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:55:08.017918 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:55:08.017932 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:55:08.017945 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:55:08.017956 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0 | |
| I0321 19:55:08.017967 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:55:08.017981 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:55:08.018002 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:55:08.018025 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:55:08.018054 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:55:08.018066 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:55:08.018084 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:55:08.018095 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:55:08.018106 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:55:08.018118 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:55:08.018131 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:55:08.018144 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:55:08.018156 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:55:08.018167 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:55:08.018178 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:55:08.018190 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:55:08.018203 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:55:08.018216 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.06442 (* 0.0272727 = 0.0563023 loss) | |
| I0321 19:55:08.018230 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.36609 (* 0.0272727 = 0.0918024 loss) | |
| I0321 19:55:08.018244 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.68572 (* 0.0272727 = 0.10052 loss) | |
| I0321 19:55:08.018259 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.46268 (* 0.0272727 = 0.0944367 loss) | |
| I0321 19:55:08.018272 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.89017 (* 0.0272727 = 0.106096 loss) | |
| I0321 19:55:08.018286 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.19863 (* 0.0272727 = 0.0599626 loss) | |
| I0321 19:55:08.018301 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.672444 (* 0.0272727 = 0.0183394 loss) | |
| I0321 19:55:08.018316 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0840894 (* 0.0272727 = 0.00229335 loss) | |
| I0321 19:55:08.018329 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0187711 (* 0.0272727 = 0.000511939 loss) | |
| I0321 19:55:08.018344 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0114693 (* 0.0272727 = 0.000312799 loss) | |
| I0321 19:55:08.018358 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000637706 (* 0.0272727 = 1.7392e-05 loss) | |
| I0321 19:55:08.018373 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000520769 (* 0.0272727 = 1.42028e-05 loss) | |
| I0321 19:55:08.018386 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000608654 (* 0.0272727 = 1.65997e-05 loss) | |
| I0321 19:55:08.018404 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000424045 (* 0.0272727 = 1.15649e-05 loss) | |
| I0321 19:55:08.018419 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000501788 (* 0.0272727 = 1.36851e-05 loss) | |
| I0321 19:55:08.018435 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000849752 (* 0.0272727 = 2.3175e-05 loss) | |
| I0321 19:55:08.018448 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000418036 (* 0.0272727 = 1.1401e-05 loss) | |
| I0321 19:55:08.018462 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000541039 (* 0.0272727 = 1.47556e-05 loss) | |
| I0321 19:55:08.018477 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000472812 (* 0.0272727 = 1.28949e-05 loss) | |
| I0321 19:55:08.018491 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000635254 (* 0.0272727 = 1.73251e-05 loss) | |
| I0321 19:55:08.018507 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000422513 (* 0.0272727 = 1.15231e-05 loss) | |
| I0321 19:55:08.018520 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000544167 (* 0.0272727 = 1.48409e-05 loss) | |
| I0321 19:55:08.018533 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.5 | |
| I0321 19:55:08.018545 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:55:08.018568 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.25 | |
| I0321 19:55:08.018581 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:55:08.018594 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0 | |
| I0321 19:55:08.018604 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:55:08.018616 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:55:08.018628 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:55:08.018640 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:55:08.018651 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:55:08.018662 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:55:08.018673 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:55:08.018684 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:55:08.018695 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:55:08.018707 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:55:08.018718 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:55:08.018730 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:55:08.018741 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:55:08.018753 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:55:08.018766 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:55:08.018779 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:55:08.018791 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:55:08.018805 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.0427 (* 0.0909091 = 0.1857 loss) | |
| I0321 19:55:08.018820 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.29471 (* 0.0909091 = 0.299519 loss) | |
| I0321 19:55:08.018833 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.42097 (* 0.0909091 = 0.310997 loss) | |
| I0321 19:55:08.018847 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.59812 (* 0.0909091 = 0.327102 loss) | |
| I0321 19:55:08.018862 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.62099 (* 0.0909091 = 0.329181 loss) | |
| I0321 19:55:08.018875 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.15226 (* 0.0909091 = 0.19566 loss) | |
| I0321 19:55:08.018890 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.561571 (* 0.0909091 = 0.0510519 loss) | |
| I0321 19:55:08.018904 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.140994 (* 0.0909091 = 0.0128177 loss) | |
| I0321 19:55:08.018918 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0223132 (* 0.0909091 = 0.00202847 loss) | |
| I0321 19:55:08.018932 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0155956 (* 0.0909091 = 0.00141779 loss) | |
| I0321 19:55:08.018947 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000259668 (* 0.0909091 = 2.36062e-05 loss) | |
| I0321 19:55:08.018961 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000277064 (* 0.0909091 = 2.51877e-05 loss) | |
| I0321 19:55:08.018975 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00031767 (* 0.0909091 = 2.88791e-05 loss) | |
| I0321 19:55:08.018990 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.0003432 (* 0.0909091 = 3.12e-05 loss) | |
| I0321 19:55:08.019006 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00029363 (* 0.0909091 = 2.66936e-05 loss) | |
| I0321 19:55:08.019019 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000326369 (* 0.0909091 = 2.96699e-05 loss) | |
| I0321 19:55:08.019033 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000297588 (* 0.0909091 = 2.70534e-05 loss) | |
| I0321 19:55:08.019047 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000242276 (* 0.0909091 = 2.20251e-05 loss) | |
| I0321 19:55:08.019073 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000318267 (* 0.0909091 = 2.89334e-05 loss) | |
| I0321 19:55:08.019088 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000397468 (* 0.0909091 = 3.61335e-05 loss) | |
| I0321 19:55:08.019103 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000369396 (* 0.0909091 = 3.35815e-05 loss) | |
| I0321 19:55:08.019116 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000415193 (* 0.0909091 = 3.77448e-05 loss) | |
| I0321 19:55:08.019129 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:55:08.019140 2639 solver.cpp:245] Train net output #133: total_confidence = 6.64937e-05 | |
| I0321 19:55:08.019153 2639 sgd_solver.cpp:106] Iteration 4700, lr = 0.01 | |
| I0321 19:55:29.932137 2639 solver.cpp:229] Iteration 4800, loss = 2.90021 | |
| I0321 19:55:29.932256 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:55:29.932276 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:55:29.932289 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:55:29.932301 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:55:29.932313 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:55:29.932327 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:55:29.932338 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:55:29.932353 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.625 | |
| I0321 19:55:29.932364 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:55:29.932376 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:55:29.932389 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:55:29.932401 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:55:29.932413 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:55:29.932426 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:55:29.932440 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:55:29.932452 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:55:29.932464 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:55:29.932476 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:55:29.932487 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:55:29.932499 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:55:29.932512 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:55:29.932528 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:55:29.932543 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.60914 (* 0.0272727 = 0.0984311 loss) | |
| I0321 19:55:29.932557 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.87452 (* 0.0272727 = 0.105669 loss) | |
| I0321 19:55:29.932572 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.23782 (* 0.0272727 = 0.0883042 loss) | |
| I0321 19:55:29.932592 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.4194 (* 0.0272727 = 0.0932563 loss) | |
| I0321 19:55:29.932606 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.3959 (* 0.0272727 = 0.0926154 loss) | |
| I0321 19:55:29.932621 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.98785 (* 0.0272727 = 0.0814867 loss) | |
| I0321 19:55:29.932634 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 2.01169 (* 0.0272727 = 0.0548642 loss) | |
| I0321 19:55:29.932649 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.89198 (* 0.0272727 = 0.0515994 loss) | |
| I0321 19:55:29.932667 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.78897 (* 0.0272727 = 0.04879 loss) | |
| I0321 19:55:29.932682 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0125816 (* 0.0272727 = 0.000343134 loss) | |
| I0321 19:55:29.932696 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000662459 (* 0.0272727 = 1.80671e-05 loss) | |
| I0321 19:55:29.932711 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000690586 (* 0.0272727 = 1.88342e-05 loss) | |
| I0321 19:55:29.932726 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000433324 (* 0.0272727 = 1.18179e-05 loss) | |
| I0321 19:55:29.932740 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000573889 (* 0.0272727 = 1.56515e-05 loss) | |
| I0321 19:55:29.932755 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000574607 (* 0.0272727 = 1.56711e-05 loss) | |
| I0321 19:55:29.932770 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000652896 (* 0.0272727 = 1.78063e-05 loss) | |
| I0321 19:55:29.932785 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000537416 (* 0.0272727 = 1.46568e-05 loss) | |
| I0321 19:55:29.932816 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000641161 (* 0.0272727 = 1.74862e-05 loss) | |
| I0321 19:55:29.932832 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000765966 (* 0.0272727 = 2.089e-05 loss) | |
| I0321 19:55:29.932847 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000615949 (* 0.0272727 = 1.67986e-05 loss) | |
| I0321 19:55:29.932862 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000555053 (* 0.0272727 = 1.51378e-05 loss) | |
| I0321 19:55:29.932876 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000560552 (* 0.0272727 = 1.52878e-05 loss) | |
| I0321 19:55:29.932889 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:55:29.932901 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:55:29.932914 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:55:29.932925 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0 | |
| I0321 19:55:29.932936 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:55:29.932948 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:55:29.932960 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:55:29.932972 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.625 | |
| I0321 19:55:29.932984 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:55:29.932996 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:55:29.933007 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:55:29.933019 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:55:29.933030 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:55:29.933043 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:55:29.933054 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:55:29.933065 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:55:29.933078 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:55:29.933089 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:55:29.933099 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:55:29.933111 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:55:29.933122 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:55:29.933135 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:55:29.933152 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 3.75 (* 0.0272727 = 0.102273 loss) | |
| I0321 19:55:29.933166 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.91098 (* 0.0272727 = 0.106663 loss) | |
| I0321 19:55:29.933181 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.54902 (* 0.0272727 = 0.0967915 loss) | |
| I0321 19:55:29.933194 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.67393 (* 0.0272727 = 0.100198 loss) | |
| I0321 19:55:29.933214 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.42111 (* 0.0272727 = 0.0933029 loss) | |
| I0321 19:55:29.933228 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.11249 (* 0.0272727 = 0.084886 loss) | |
| I0321 19:55:29.933243 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 2.03606 (* 0.0272727 = 0.055529 loss) | |
| I0321 19:55:29.933257 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 1.99518 (* 0.0272727 = 0.054414 loss) | |
| I0321 19:55:29.933274 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.83514 (* 0.0272727 = 0.0500493 loss) | |
| I0321 19:55:29.933290 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0191398 (* 0.0272727 = 0.000521996 loss) | |
| I0321 19:55:29.933305 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000693905 (* 0.0272727 = 1.89247e-05 loss) | |
| I0321 19:55:29.933331 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000695552 (* 0.0272727 = 1.89696e-05 loss) | |
| I0321 19:55:29.933346 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000515993 (* 0.0272727 = 1.40725e-05 loss) | |
| I0321 19:55:29.933360 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000664947 (* 0.0272727 = 1.81349e-05 loss) | |
| I0321 19:55:29.933375 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000783021 (* 0.0272727 = 2.13551e-05 loss) | |
| I0321 19:55:29.933389 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000818862 (* 0.0272727 = 2.23326e-05 loss) | |
| I0321 19:55:29.933404 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000636741 (* 0.0272727 = 1.73657e-05 loss) | |
| I0321 19:55:29.933418 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000677227 (* 0.0272727 = 1.84698e-05 loss) | |
| I0321 19:55:29.933436 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000532328 (* 0.0272727 = 1.4518e-05 loss) | |
| I0321 19:55:29.933451 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000765034 (* 0.0272727 = 2.08646e-05 loss) | |
| I0321 19:55:29.933466 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000682794 (* 0.0272727 = 1.86217e-05 loss) | |
| I0321 19:55:29.933480 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000435738 (* 0.0272727 = 1.18838e-05 loss) | |
| I0321 19:55:29.933493 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:55:29.933506 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:55:29.933517 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:55:29.933528 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:55:29.933539 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:55:29.933552 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:55:29.933563 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:55:29.933575 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.625 | |
| I0321 19:55:29.933588 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:55:29.933598 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:55:29.933615 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:55:29.933624 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:55:29.933631 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:55:29.933643 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:55:29.933655 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:55:29.933667 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:55:29.933678 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:55:29.933691 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:55:29.933701 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:55:29.933715 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:55:29.933734 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:55:29.933747 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:55:29.933760 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 3.58078 (* 0.0909091 = 0.325525 loss) | |
| I0321 19:55:29.933774 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.73377 (* 0.0909091 = 0.339434 loss) | |
| I0321 19:55:29.933789 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.46755 (* 0.0909091 = 0.315232 loss) | |
| I0321 19:55:29.933802 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.65267 (* 0.0909091 = 0.332061 loss) | |
| I0321 19:55:29.933816 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.12714 (* 0.0909091 = 0.284285 loss) | |
| I0321 19:55:29.933830 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.04432 (* 0.0909091 = 0.276756 loss) | |
| I0321 19:55:29.933854 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.84269 (* 0.0909091 = 0.167517 loss) | |
| I0321 19:55:29.933868 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.6985 (* 0.0909091 = 0.154409 loss) | |
| I0321 19:55:29.933883 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 1.46047 (* 0.0909091 = 0.13277 loss) | |
| I0321 19:55:29.933897 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0148609 (* 0.0909091 = 0.00135099 loss) | |
| I0321 19:55:29.933912 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.00026186 (* 0.0909091 = 2.38055e-05 loss) | |
| I0321 19:55:29.933926 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000298665 (* 0.0909091 = 2.71514e-05 loss) | |
| I0321 19:55:29.933940 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00031052 (* 0.0909091 = 2.82291e-05 loss) | |
| I0321 19:55:29.933954 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000399201 (* 0.0909091 = 3.6291e-05 loss) | |
| I0321 19:55:29.933969 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000282502 (* 0.0909091 = 2.5682e-05 loss) | |
| I0321 19:55:29.933982 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000434764 (* 0.0909091 = 3.9524e-05 loss) | |
| I0321 19:55:29.933997 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000272832 (* 0.0909091 = 2.48029e-05 loss) | |
| I0321 19:55:29.934011 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000303083 (* 0.0909091 = 2.7553e-05 loss) | |
| I0321 19:55:29.934026 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000359683 (* 0.0909091 = 3.26985e-05 loss) | |
| I0321 19:55:29.934039 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000350921 (* 0.0909091 = 3.19019e-05 loss) | |
| I0321 19:55:29.934053 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000342005 (* 0.0909091 = 3.10914e-05 loss) | |
| I0321 19:55:29.934067 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000370787 (* 0.0909091 = 3.37079e-05 loss) | |
| I0321 19:55:29.934079 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:55:29.934092 2639 solver.cpp:245] Train net output #133: total_confidence = 7.30568e-05 | |
| I0321 19:55:29.934103 2639 sgd_solver.cpp:106] Iteration 4800, lr = 0.01 | |
| I0321 19:55:51.788172 2639 solver.cpp:229] Iteration 4900, loss = 2.92508 | |
| I0321 19:55:51.788239 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:55:51.788256 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:55:51.788269 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:55:51.788282 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:55:51.788295 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:55:51.788311 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:55:51.788322 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:55:51.788336 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.75 | |
| I0321 19:55:51.788347 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.75 | |
| I0321 19:55:51.788359 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:55:51.788372 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:55:51.788383 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:55:51.788395 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:55:51.788408 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:55:51.788419 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:55:51.788430 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:55:51.788442 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:55:51.788455 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:55:51.788496 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:55:51.788509 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:55:51.788522 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:55:51.788533 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:55:51.788549 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.76824 (* 0.0272727 = 0.0754974 loss) | |
| I0321 19:55:51.788564 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.13543 (* 0.0272727 = 0.0855117 loss) | |
| I0321 19:55:51.788583 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.68841 (* 0.0272727 = 0.100593 loss) | |
| I0321 19:55:51.788596 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.80956 (* 0.0272727 = 0.103897 loss) | |
| I0321 19:55:51.788616 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.64441 (* 0.0272727 = 0.0993931 loss) | |
| I0321 19:55:51.788645 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.51224 (* 0.0272727 = 0.0685156 loss) | |
| I0321 19:55:51.788666 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.71578 (* 0.0272727 = 0.0467939 loss) | |
| I0321 19:55:51.788681 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 1.09284 (* 0.0272727 = 0.0298048 loss) | |
| I0321 19:55:51.788694 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 1.27027 (* 0.0272727 = 0.0346437 loss) | |
| I0321 19:55:51.788709 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0424663 (* 0.0272727 = 0.00115817 loss) | |
| I0321 19:55:51.788723 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000515273 (* 0.0272727 = 1.40529e-05 loss) | |
| I0321 19:55:51.788738 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000543052 (* 0.0272727 = 1.48105e-05 loss) | |
| I0321 19:55:51.788753 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.00073194 (* 0.0272727 = 1.9962e-05 loss) | |
| I0321 19:55:51.788770 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000398639 (* 0.0272727 = 1.0872e-05 loss) | |
| I0321 19:55:51.788785 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000438577 (* 0.0272727 = 1.19612e-05 loss) | |
| I0321 19:55:51.788800 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000523417 (* 0.0272727 = 1.4275e-05 loss) | |
| I0321 19:55:51.788815 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000317037 (* 0.0272727 = 8.64645e-06 loss) | |
| I0321 19:55:51.788828 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000371028 (* 0.0272727 = 1.01189e-05 loss) | |
| I0321 19:55:51.788843 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000416419 (* 0.0272727 = 1.13569e-05 loss) | |
| I0321 19:55:51.788857 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000467186 (* 0.0272727 = 1.27414e-05 loss) | |
| I0321 19:55:51.788872 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000407783 (* 0.0272727 = 1.11214e-05 loss) | |
| I0321 19:55:51.788887 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000327179 (* 0.0272727 = 8.92308e-06 loss) | |
| I0321 19:55:51.788899 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:55:51.788911 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:55:51.788923 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:55:51.788935 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:55:51.788947 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:55:51.788959 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:55:51.788971 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:55:51.788983 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.75 | |
| I0321 19:55:51.788995 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.75 | |
| I0321 19:55:51.789006 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:55:51.789031 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:55:51.789043 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:55:51.789055 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:55:51.789067 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:55:51.789078 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:55:51.789090 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:55:51.789101 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:55:51.789113 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:55:51.789124 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:55:51.789136 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:55:51.789147 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:55:51.789160 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:55:51.789173 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.65599 (* 0.0272727 = 0.072436 loss) | |
| I0321 19:55:51.789187 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.21042 (* 0.0272727 = 0.0875569 loss) | |
| I0321 19:55:51.789201 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.75993 (* 0.0272727 = 0.102544 loss) | |
| I0321 19:55:51.789216 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.58693 (* 0.0272727 = 0.0978253 loss) | |
| I0321 19:55:51.789230 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.5811 (* 0.0272727 = 0.0976664 loss) | |
| I0321 19:55:51.789244 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.73567 (* 0.0272727 = 0.0746091 loss) | |
| I0321 19:55:51.789258 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.8377 (* 0.0272727 = 0.0501192 loss) | |
| I0321 19:55:51.789273 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.977854 (* 0.0272727 = 0.0266688 loss) | |
| I0321 19:55:51.789286 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 1.05873 (* 0.0272727 = 0.0288744 loss) | |
| I0321 19:55:51.789300 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.057118 (* 0.0272727 = 0.00155776 loss) | |
| I0321 19:55:51.789315 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000392452 (* 0.0272727 = 1.07032e-05 loss) | |
| I0321 19:55:51.789330 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000352052 (* 0.0272727 = 9.60143e-06 loss) | |
| I0321 19:55:51.789345 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000397301 (* 0.0272727 = 1.08355e-05 loss) | |
| I0321 19:55:51.789362 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000296251 (* 0.0272727 = 8.07957e-06 loss) | |
| I0321 19:55:51.789377 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000319105 (* 0.0272727 = 8.70285e-06 loss) | |
| I0321 19:55:51.789391 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000325565 (* 0.0272727 = 8.87904e-06 loss) | |
| I0321 19:55:51.789407 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000267914 (* 0.0272727 = 7.30675e-06 loss) | |
| I0321 19:55:51.789422 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000278016 (* 0.0272727 = 7.58226e-06 loss) | |
| I0321 19:55:51.789435 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000266988 (* 0.0272727 = 7.28148e-06 loss) | |
| I0321 19:55:51.789449 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.00028914 (* 0.0272727 = 7.88563e-06 loss) | |
| I0321 19:55:51.789464 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000196579 (* 0.0272727 = 5.36124e-06 loss) | |
| I0321 19:55:51.789479 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000358657 (* 0.0272727 = 9.78156e-06 loss) | |
| I0321 19:55:51.789487 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.25 | |
| I0321 19:55:51.789495 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:55:51.789516 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:55:51.789530 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0 | |
| I0321 19:55:51.789542 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:55:51.789554 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:55:51.789566 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:55:51.789578 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.75 | |
| I0321 19:55:51.789589 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.75 | |
| I0321 19:55:51.789602 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:55:51.789613 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:55:51.789623 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:55:51.789635 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:55:51.789646 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:55:51.789659 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:55:51.789669 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:55:51.789685 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:55:51.789696 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:55:51.789707 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:55:51.789719 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:55:51.789731 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:55:51.789741 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:55:51.789757 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.63729 (* 0.0909091 = 0.239754 loss) | |
| I0321 19:55:51.789772 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.30504 (* 0.0909091 = 0.300458 loss) | |
| I0321 19:55:51.789785 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.80625 (* 0.0909091 = 0.346023 loss) | |
| I0321 19:55:51.789799 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.51877 (* 0.0909091 = 0.319888 loss) | |
| I0321 19:55:51.789815 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.36587 (* 0.0909091 = 0.305988 loss) | |
| I0321 19:55:51.789830 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.42141 (* 0.0909091 = 0.220128 loss) | |
| I0321 19:55:51.789844 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.87677 (* 0.0909091 = 0.170616 loss) | |
| I0321 19:55:51.789858 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 1.03299 (* 0.0909091 = 0.0939086 loss) | |
| I0321 19:55:51.789875 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 1.16056 (* 0.0909091 = 0.105505 loss) | |
| I0321 19:55:51.789891 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0590052 (* 0.0909091 = 0.00536411 loss) | |
| I0321 19:55:51.789906 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000105472 (* 0.0909091 = 9.58833e-06 loss) | |
| I0321 19:55:51.789919 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000138924 (* 0.0909091 = 1.26295e-05 loss) | |
| I0321 19:55:51.789934 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000103074 (* 0.0909091 = 9.3704e-06 loss) | |
| I0321 19:55:51.789948 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000123809 (* 0.0909091 = 1.12554e-05 loss) | |
| I0321 19:55:51.789963 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 7.97702e-05 (* 0.0909091 = 7.25184e-06 loss) | |
| I0321 19:55:51.789976 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000115149 (* 0.0909091 = 1.04681e-05 loss) | |
| I0321 19:55:51.789990 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000113706 (* 0.0909091 = 1.03369e-05 loss) | |
| I0321 19:55:51.790005 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000127686 (* 0.0909091 = 1.16079e-05 loss) | |
| I0321 19:55:51.790030 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 9.36562e-05 (* 0.0909091 = 8.5142e-06 loss) | |
| I0321 19:55:51.790045 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 9.73703e-05 (* 0.0909091 = 8.85185e-06 loss) | |
| I0321 19:55:51.790060 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 9.67089e-05 (* 0.0909091 = 8.79172e-06 loss) | |
| I0321 19:55:51.790074 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000110188 (* 0.0909091 = 1.00171e-05 loss) | |
| I0321 19:55:51.790086 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:55:51.790098 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000867832 | |
| I0321 19:55:51.790110 2639 sgd_solver.cpp:106] Iteration 4900, lr = 0.01 | |
| I0321 19:56:13.551370 2639 solver.cpp:338] Iteration 5000, Testing net (#0) | |
| I0321 19:56:46.715097 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.129 | |
| I0321 19:56:46.715236 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.071 | |
| I0321 19:56:46.715255 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.061 | |
| I0321 19:56:46.715270 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.07 | |
| I0321 19:56:46.715281 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.199 | |
| I0321 19:56:46.715293 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.499 | |
| I0321 19:56:46.715306 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.818 | |
| I0321 19:56:46.715318 2639 solver.cpp:406] Test net output #7: loss1/accuracy08 = 0.926 | |
| I0321 19:56:46.715330 2639 solver.cpp:406] Test net output #8: loss1/accuracy09 = 0.977 | |
| I0321 19:56:46.715342 2639 solver.cpp:406] Test net output #9: loss1/accuracy10 = 0.994 | |
| I0321 19:56:46.715353 2639 solver.cpp:406] Test net output #10: loss1/accuracy11 = 1 | |
| I0321 19:56:46.715365 2639 solver.cpp:406] Test net output #11: loss1/accuracy12 = 1 | |
| I0321 19:56:46.715378 2639 solver.cpp:406] Test net output #12: loss1/accuracy13 = 1 | |
| I0321 19:56:46.715389 2639 solver.cpp:406] Test net output #13: loss1/accuracy14 = 1 | |
| I0321 19:56:46.715400 2639 solver.cpp:406] Test net output #14: loss1/accuracy15 = 1 | |
| I0321 19:56:46.715411 2639 solver.cpp:406] Test net output #15: loss1/accuracy16 = 1 | |
| I0321 19:56:46.715422 2639 solver.cpp:406] Test net output #16: loss1/accuracy17 = 1 | |
| I0321 19:56:46.715435 2639 solver.cpp:406] Test net output #17: loss1/accuracy18 = 1 | |
| I0321 19:56:46.715445 2639 solver.cpp:406] Test net output #18: loss1/accuracy19 = 1 | |
| I0321 19:56:46.715457 2639 solver.cpp:406] Test net output #19: loss1/accuracy20 = 1 | |
| I0321 19:56:46.715468 2639 solver.cpp:406] Test net output #20: loss1/accuracy21 = 1 | |
| I0321 19:56:46.715481 2639 solver.cpp:406] Test net output #21: loss1/accuracy22 = 1 | |
| I0321 19:56:46.715497 2639 solver.cpp:406] Test net output #22: loss1/loss01 = 3.50465 (* 0.0272727 = 0.0955814 loss) | |
| I0321 19:56:46.715512 2639 solver.cpp:406] Test net output #23: loss1/loss02 = 3.71896 (* 0.0272727 = 0.101426 loss) | |
| I0321 19:56:46.715530 2639 solver.cpp:406] Test net output #24: loss1/loss03 = 3.71171 (* 0.0272727 = 0.101228 loss) | |
| I0321 19:56:46.715544 2639 solver.cpp:406] Test net output #25: loss1/loss04 = 3.72454 (* 0.0272727 = 0.101578 loss) | |
| I0321 19:56:46.715559 2639 solver.cpp:406] Test net output #26: loss1/loss05 = 3.35366 (* 0.0272727 = 0.0914634 loss) | |
| I0321 19:56:46.715572 2639 solver.cpp:406] Test net output #27: loss1/loss06 = 2.36643 (* 0.0272727 = 0.0645389 loss) | |
| I0321 19:56:46.715586 2639 solver.cpp:406] Test net output #28: loss1/loss07 = 1.10466 (* 0.0272727 = 0.030127 loss) | |
| I0321 19:56:46.715600 2639 solver.cpp:406] Test net output #29: loss1/loss08 = 0.535604 (* 0.0272727 = 0.0146074 loss) | |
| I0321 19:56:46.715615 2639 solver.cpp:406] Test net output #30: loss1/loss09 = 0.246476 (* 0.0272727 = 0.00672207 loss) | |
| I0321 19:56:46.715637 2639 solver.cpp:406] Test net output #31: loss1/loss10 = 0.0785976 (* 0.0272727 = 0.00214357 loss) | |
| I0321 19:56:46.715652 2639 solver.cpp:406] Test net output #32: loss1/loss11 = 0.0035788 (* 0.0272727 = 9.76036e-05 loss) | |
| I0321 19:56:46.715670 2639 solver.cpp:406] Test net output #33: loss1/loss12 = 0.0046802 (* 0.0272727 = 0.000127642 loss) | |
| I0321 19:56:46.715684 2639 solver.cpp:406] Test net output #34: loss1/loss13 = 0.0055271 (* 0.0272727 = 0.000150739 loss) | |
| I0321 19:56:46.715699 2639 solver.cpp:406] Test net output #35: loss1/loss14 = 0.00413623 (* 0.0272727 = 0.000112806 loss) | |
| I0321 19:56:46.715713 2639 solver.cpp:406] Test net output #36: loss1/loss15 = 0.00388233 (* 0.0272727 = 0.000105882 loss) | |
| I0321 19:56:46.715728 2639 solver.cpp:406] Test net output #37: loss1/loss16 = 0.00418408 (* 0.0272727 = 0.000114111 loss) | |
| I0321 19:56:46.715742 2639 solver.cpp:406] Test net output #38: loss1/loss17 = 0.00370252 (* 0.0272727 = 0.000100978 loss) | |
| I0321 19:56:46.715757 2639 solver.cpp:406] Test net output #39: loss1/loss18 = 0.00333913 (* 0.0272727 = 9.10672e-05 loss) | |
| I0321 19:56:46.715791 2639 solver.cpp:406] Test net output #40: loss1/loss19 = 0.00397442 (* 0.0272727 = 0.000108393 loss) | |
| I0321 19:56:46.715807 2639 solver.cpp:406] Test net output #41: loss1/loss20 = 0.0031869 (* 0.0272727 = 8.69154e-05 loss) | |
| I0321 19:56:46.715821 2639 solver.cpp:406] Test net output #42: loss1/loss21 = 0.00379821 (* 0.0272727 = 0.000103587 loss) | |
| I0321 19:56:46.715837 2639 solver.cpp:406] Test net output #43: loss1/loss22 = 0.00351068 (* 0.0272727 = 9.57459e-05 loss) | |
| I0321 19:56:46.715848 2639 solver.cpp:406] Test net output #44: loss2/accuracy01 = 0.115 | |
| I0321 19:56:46.715860 2639 solver.cpp:406] Test net output #45: loss2/accuracy02 = 0.079 | |
| I0321 19:56:46.715873 2639 solver.cpp:406] Test net output #46: loss2/accuracy03 = 0.078 | |
| I0321 19:56:46.715884 2639 solver.cpp:406] Test net output #47: loss2/accuracy04 = 0.07 | |
| I0321 19:56:46.715896 2639 solver.cpp:406] Test net output #48: loss2/accuracy05 = 0.212 | |
| I0321 19:56:46.715908 2639 solver.cpp:406] Test net output #49: loss2/accuracy06 = 0.504 | |
| I0321 19:56:46.715919 2639 solver.cpp:406] Test net output #50: loss2/accuracy07 = 0.819 | |
| I0321 19:56:46.715930 2639 solver.cpp:406] Test net output #51: loss2/accuracy08 = 0.929 | |
| I0321 19:56:46.715942 2639 solver.cpp:406] Test net output #52: loss2/accuracy09 = 0.977 | |
| I0321 19:56:46.715955 2639 solver.cpp:406] Test net output #53: loss2/accuracy10 = 0.994 | |
| I0321 19:56:46.715965 2639 solver.cpp:406] Test net output #54: loss2/accuracy11 = 1 | |
| I0321 19:56:46.715977 2639 solver.cpp:406] Test net output #55: loss2/accuracy12 = 1 | |
| I0321 19:56:46.715988 2639 solver.cpp:406] Test net output #56: loss2/accuracy13 = 1 | |
| I0321 19:56:46.715999 2639 solver.cpp:406] Test net output #57: loss2/accuracy14 = 1 | |
| I0321 19:56:46.716011 2639 solver.cpp:406] Test net output #58: loss2/accuracy15 = 1 | |
| I0321 19:56:46.716022 2639 solver.cpp:406] Test net output #59: loss2/accuracy16 = 1 | |
| I0321 19:56:46.716033 2639 solver.cpp:406] Test net output #60: loss2/accuracy17 = 1 | |
| I0321 19:56:46.716044 2639 solver.cpp:406] Test net output #61: loss2/accuracy18 = 1 | |
| I0321 19:56:46.716073 2639 solver.cpp:406] Test net output #62: loss2/accuracy19 = 1 | |
| I0321 19:56:46.716086 2639 solver.cpp:406] Test net output #63: loss2/accuracy20 = 1 | |
| I0321 19:56:46.716099 2639 solver.cpp:406] Test net output #64: loss2/accuracy21 = 1 | |
| I0321 19:56:46.716109 2639 solver.cpp:406] Test net output #65: loss2/accuracy22 = 1 | |
| I0321 19:56:46.716123 2639 solver.cpp:406] Test net output #66: loss2/loss01 = 3.53973 (* 0.0272727 = 0.0965381 loss) | |
| I0321 19:56:46.716137 2639 solver.cpp:406] Test net output #67: loss2/loss02 = 3.68612 (* 0.0272727 = 0.10053 loss) | |
| I0321 19:56:46.716151 2639 solver.cpp:406] Test net output #68: loss2/loss03 = 3.68697 (* 0.0272727 = 0.100554 loss) | |
| I0321 19:56:46.716166 2639 solver.cpp:406] Test net output #69: loss2/loss04 = 3.67948 (* 0.0272727 = 0.100349 loss) | |
| I0321 19:56:46.716179 2639 solver.cpp:406] Test net output #70: loss2/loss05 = 3.28355 (* 0.0272727 = 0.0895515 loss) | |
| I0321 19:56:46.716193 2639 solver.cpp:406] Test net output #71: loss2/loss06 = 2.20595 (* 0.0272727 = 0.0601624 loss) | |
| I0321 19:56:46.716207 2639 solver.cpp:406] Test net output #72: loss2/loss07 = 1.02105 (* 0.0272727 = 0.0278468 loss) | |
| I0321 19:56:46.716222 2639 solver.cpp:406] Test net output #73: loss2/loss08 = 0.474658 (* 0.0272727 = 0.0129452 loss) | |
| I0321 19:56:46.716235 2639 solver.cpp:406] Test net output #74: loss2/loss09 = 0.188789 (* 0.0272727 = 0.00514879 loss) | |
| I0321 19:56:46.716253 2639 solver.cpp:406] Test net output #75: loss2/loss10 = 0.0737687 (* 0.0272727 = 0.00201187 loss) | |
| I0321 19:56:46.716269 2639 solver.cpp:406] Test net output #76: loss2/loss11 = 0.0022939 (* 0.0272727 = 6.25609e-05 loss) | |
| I0321 19:56:46.716282 2639 solver.cpp:406] Test net output #77: loss2/loss12 = 0.00253029 (* 0.0272727 = 6.9008e-05 loss) | |
| I0321 19:56:46.716296 2639 solver.cpp:406] Test net output #78: loss2/loss13 = 0.00282989 (* 0.0272727 = 7.71789e-05 loss) | |
| I0321 19:56:46.716323 2639 solver.cpp:406] Test net output #79: loss2/loss14 = 0.00212559 (* 0.0272727 = 5.79707e-05 loss) | |
| I0321 19:56:46.716338 2639 solver.cpp:406] Test net output #80: loss2/loss15 = 0.00283889 (* 0.0272727 = 7.74244e-05 loss) | |
| I0321 19:56:46.716352 2639 solver.cpp:406] Test net output #81: loss2/loss16 = 0.00260194 (* 0.0272727 = 7.09619e-05 loss) | |
| I0321 19:56:46.716367 2639 solver.cpp:406] Test net output #82: loss2/loss17 = 0.003274 (* 0.0272727 = 8.9291e-05 loss) | |
| I0321 19:56:46.716382 2639 solver.cpp:406] Test net output #83: loss2/loss18 = 0.00198143 (* 0.0272727 = 5.4039e-05 loss) | |
| I0321 19:56:46.716394 2639 solver.cpp:406] Test net output #84: loss2/loss19 = 0.00241537 (* 0.0272727 = 6.58737e-05 loss) | |
| I0321 19:56:46.716409 2639 solver.cpp:406] Test net output #85: loss2/loss20 = 0.00257459 (* 0.0272727 = 7.02161e-05 loss) | |
| I0321 19:56:46.716423 2639 solver.cpp:406] Test net output #86: loss2/loss21 = 0.00261554 (* 0.0272727 = 7.1333e-05 loss) | |
| I0321 19:56:46.716434 2639 solver.cpp:406] Test net output #87: loss2/loss22 = 0.00289472 (* 0.0272727 = 7.8947e-05 loss) | |
| I0321 19:56:46.716441 2639 solver.cpp:406] Test net output #88: loss3/accuracy01 = 0.104 | |
| I0321 19:56:46.716449 2639 solver.cpp:406] Test net output #89: loss3/accuracy02 = 0.065 | |
| I0321 19:56:46.716461 2639 solver.cpp:406] Test net output #90: loss3/accuracy03 = 0.071 | |
| I0321 19:56:46.716473 2639 solver.cpp:406] Test net output #91: loss3/accuracy04 = 0.069 | |
| I0321 19:56:46.716485 2639 solver.cpp:406] Test net output #92: loss3/accuracy05 = 0.224 | |
| I0321 19:56:46.716496 2639 solver.cpp:406] Test net output #93: loss3/accuracy06 = 0.497 | |
| I0321 19:56:46.716508 2639 solver.cpp:406] Test net output #94: loss3/accuracy07 = 0.812 | |
| I0321 19:56:46.716519 2639 solver.cpp:406] Test net output #95: loss3/accuracy08 = 0.928 | |
| I0321 19:56:46.716531 2639 solver.cpp:406] Test net output #96: loss3/accuracy09 = 0.977 | |
| I0321 19:56:46.716542 2639 solver.cpp:406] Test net output #97: loss3/accuracy10 = 0.994 | |
| I0321 19:56:46.716553 2639 solver.cpp:406] Test net output #98: loss3/accuracy11 = 1 | |
| I0321 19:56:46.716564 2639 solver.cpp:406] Test net output #99: loss3/accuracy12 = 1 | |
| I0321 19:56:46.716575 2639 solver.cpp:406] Test net output #100: loss3/accuracy13 = 1 | |
| I0321 19:56:46.716586 2639 solver.cpp:406] Test net output #101: loss3/accuracy14 = 1 | |
| I0321 19:56:46.716598 2639 solver.cpp:406] Test net output #102: loss3/accuracy15 = 1 | |
| I0321 19:56:46.716609 2639 solver.cpp:406] Test net output #103: loss3/accuracy16 = 1 | |
| I0321 19:56:46.716619 2639 solver.cpp:406] Test net output #104: loss3/accuracy17 = 1 | |
| I0321 19:56:46.716630 2639 solver.cpp:406] Test net output #105: loss3/accuracy18 = 1 | |
| I0321 19:56:46.716641 2639 solver.cpp:406] Test net output #106: loss3/accuracy19 = 1 | |
| I0321 19:56:46.716652 2639 solver.cpp:406] Test net output #107: loss3/accuracy20 = 1 | |
| I0321 19:56:46.716663 2639 solver.cpp:406] Test net output #108: loss3/accuracy21 = 1 | |
| I0321 19:56:46.716675 2639 solver.cpp:406] Test net output #109: loss3/accuracy22 = 1 | |
| I0321 19:56:46.716687 2639 solver.cpp:406] Test net output #110: loss3/loss01 = 3.72181 (* 0.0909091 = 0.338346 loss) | |
| I0321 19:56:46.716701 2639 solver.cpp:406] Test net output #111: loss3/loss02 = 3.75986 (* 0.0909091 = 0.341805 loss) | |
| I0321 19:56:46.716717 2639 solver.cpp:406] Test net output #112: loss3/loss03 = 3.73521 (* 0.0909091 = 0.339564 loss) | |
| I0321 19:56:46.716732 2639 solver.cpp:406] Test net output #113: loss3/loss04 = 3.75196 (* 0.0909091 = 0.341088 loss) | |
| I0321 19:56:46.716745 2639 solver.cpp:406] Test net output #114: loss3/loss05 = 3.28677 (* 0.0909091 = 0.298797 loss) | |
| I0321 19:56:46.716759 2639 solver.cpp:406] Test net output #115: loss3/loss06 = 2.26368 (* 0.0909091 = 0.205789 loss) | |
| I0321 19:56:46.716773 2639 solver.cpp:406] Test net output #116: loss3/loss07 = 1.00472 (* 0.0909091 = 0.0913379 loss) | |
| I0321 19:56:46.716797 2639 solver.cpp:406] Test net output #117: loss3/loss08 = 0.413863 (* 0.0909091 = 0.0376239 loss) | |
| I0321 19:56:46.716811 2639 solver.cpp:406] Test net output #118: loss3/loss09 = 0.161935 (* 0.0909091 = 0.0147214 loss) | |
| I0321 19:56:46.716826 2639 solver.cpp:406] Test net output #119: loss3/loss10 = 0.0588755 (* 0.0909091 = 0.00535232 loss) | |
| I0321 19:56:46.716840 2639 solver.cpp:406] Test net output #120: loss3/loss11 = 0.000719075 (* 0.0909091 = 6.53704e-05 loss) | |
| I0321 19:56:46.716855 2639 solver.cpp:406] Test net output #121: loss3/loss12 = 0.000732889 (* 0.0909091 = 6.66262e-05 loss) | |
| I0321 19:56:46.716868 2639 solver.cpp:406] Test net output #122: loss3/loss13 = 0.000748448 (* 0.0909091 = 6.80407e-05 loss) | |
| I0321 19:56:46.716882 2639 solver.cpp:406] Test net output #123: loss3/loss14 = 0.000666751 (* 0.0909091 = 6.06137e-05 loss) | |
| I0321 19:56:46.716897 2639 solver.cpp:406] Test net output #124: loss3/loss15 = 0.000709869 (* 0.0909091 = 6.45336e-05 loss) | |
| I0321 19:56:46.716910 2639 solver.cpp:406] Test net output #125: loss3/loss16 = 0.000814003 (* 0.0909091 = 7.40003e-05 loss) | |
| I0321 19:56:46.716925 2639 solver.cpp:406] Test net output #126: loss3/loss17 = 0.000760558 (* 0.0909091 = 6.91417e-05 loss) | |
| I0321 19:56:46.716939 2639 solver.cpp:406] Test net output #127: loss3/loss18 = 0.000762788 (* 0.0909091 = 6.93443e-05 loss) | |
| I0321 19:56:46.716953 2639 solver.cpp:406] Test net output #128: loss3/loss19 = 0.000792466 (* 0.0909091 = 7.20424e-05 loss) | |
| I0321 19:56:46.716967 2639 solver.cpp:406] Test net output #129: loss3/loss20 = 0.000654557 (* 0.0909091 = 5.95052e-05 loss) | |
| I0321 19:56:46.716981 2639 solver.cpp:406] Test net output #130: loss3/loss21 = 0.000795156 (* 0.0909091 = 7.22869e-05 loss) | |
| I0321 19:56:46.716995 2639 solver.cpp:406] Test net output #131: loss3/loss22 = 0.000831394 (* 0.0909091 = 7.55813e-05 loss) | |
| I0321 19:56:46.717007 2639 solver.cpp:406] Test net output #132: total_accuracy = 0 | |
| I0321 19:56:46.717018 2639 solver.cpp:406] Test net output #133: total_confidence = 8.73719e-05 | |
| I0321 19:56:46.828994 2639 solver.cpp:229] Iteration 5000, loss = 2.89385 | |
| I0321 19:56:46.829048 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.125 | |
| I0321 19:56:46.829066 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:56:46.829079 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:56:46.829092 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:56:46.829104 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:56:46.829116 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:56:46.829128 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:56:46.829141 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:56:46.829156 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:56:46.829169 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:56:46.829180 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:56:46.829193 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:56:46.829205 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:56:46.829217 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:56:46.829228 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:56:46.829241 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:56:46.829252 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:56:46.829264 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:56:46.829277 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:56:46.829288 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:56:46.829329 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:56:46.829344 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:56:46.829360 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 3.08585 (* 0.0272727 = 0.0841596 loss) | |
| I0321 19:56:46.829375 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.4618 (* 0.0272727 = 0.0944127 loss) | |
| I0321 19:56:46.829388 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 2.8867 (* 0.0272727 = 0.0787282 loss) | |
| I0321 19:56:46.829403 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.73443 (* 0.0272727 = 0.0745755 loss) | |
| I0321 19:56:46.829417 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.18206 (* 0.0272727 = 0.0867834 loss) | |
| I0321 19:56:46.829432 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.42741 (* 0.0272727 = 0.0662022 loss) | |
| I0321 19:56:46.829445 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.771994 (* 0.0272727 = 0.0210544 loss) | |
| I0321 19:56:46.829460 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.507451 (* 0.0272727 = 0.0138396 loss) | |
| I0321 19:56:46.829475 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0318919 (* 0.0272727 = 0.00086978 loss) | |
| I0321 19:56:46.829490 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0178836 (* 0.0272727 = 0.000487736 loss) | |
| I0321 19:56:46.829505 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00068449 (* 0.0272727 = 1.86679e-05 loss) | |
| I0321 19:56:46.829520 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.00148081 (* 0.0272727 = 4.03857e-05 loss) | |
| I0321 19:56:46.829535 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000730259 (* 0.0272727 = 1.99161e-05 loss) | |
| I0321 19:56:46.829550 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.00092667 (* 0.0272727 = 2.52728e-05 loss) | |
| I0321 19:56:46.829563 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000754883 (* 0.0272727 = 2.05877e-05 loss) | |
| I0321 19:56:46.829578 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.00106595 (* 0.0272727 = 2.90713e-05 loss) | |
| I0321 19:56:46.829592 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00169884 (* 0.0272727 = 4.6332e-05 loss) | |
| I0321 19:56:46.829607 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.00104535 (* 0.0272727 = 2.85094e-05 loss) | |
| I0321 19:56:46.829622 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.00117341 (* 0.0272727 = 3.20021e-05 loss) | |
| I0321 19:56:46.829635 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000894848 (* 0.0272727 = 2.44049e-05 loss) | |
| I0321 19:56:46.829650 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.0011731 (* 0.0272727 = 3.19937e-05 loss) | |
| I0321 19:56:46.829664 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000737514 (* 0.0272727 = 2.0114e-05 loss) | |
| I0321 19:56:46.829677 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:56:46.829690 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:56:46.829702 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:56:46.829716 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:56:46.829730 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:56:46.829742 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:56:46.829754 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:56:46.829766 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:56:46.829777 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:56:46.829789 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:56:46.829802 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:56:46.829813 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:56:46.829836 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:56:46.829849 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:56:46.829861 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:56:46.829872 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:56:46.829885 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:56:46.829895 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:56:46.829907 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:56:46.829919 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:56:46.829931 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:56:46.829942 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:56:46.829957 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.75862 (* 0.0272727 = 0.0752351 loss) | |
| I0321 19:56:46.829972 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.9642 (* 0.0272727 = 0.0808418 loss) | |
| I0321 19:56:46.829985 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.07748 (* 0.0272727 = 0.0839312 loss) | |
| I0321 19:56:46.830000 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 2.58709 (* 0.0272727 = 0.0705569 loss) | |
| I0321 19:56:46.830014 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.02139 (* 0.0272727 = 0.0824016 loss) | |
| I0321 19:56:46.830029 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.64798 (* 0.0272727 = 0.0722176 loss) | |
| I0321 19:56:46.830042 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.793521 (* 0.0272727 = 0.0216415 loss) | |
| I0321 19:56:46.830057 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.654857 (* 0.0272727 = 0.0178597 loss) | |
| I0321 19:56:46.830072 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0243401 (* 0.0272727 = 0.00066382 loss) | |
| I0321 19:56:46.830087 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.0107612 (* 0.0272727 = 0.000293488 loss) | |
| I0321 19:56:46.830101 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000526076 (* 0.0272727 = 1.43475e-05 loss) | |
| I0321 19:56:46.830116 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000591906 (* 0.0272727 = 1.61429e-05 loss) | |
| I0321 19:56:46.830130 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000510661 (* 0.0272727 = 1.39271e-05 loss) | |
| I0321 19:56:46.830145 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.00058147 (* 0.0272727 = 1.58583e-05 loss) | |
| I0321 19:56:46.830159 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000555751 (* 0.0272727 = 1.51568e-05 loss) | |
| I0321 19:56:46.830173 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.00112824 (* 0.0272727 = 3.07703e-05 loss) | |
| I0321 19:56:46.830188 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000658294 (* 0.0272727 = 1.79535e-05 loss) | |
| I0321 19:56:46.830205 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000645136 (* 0.0272727 = 1.75946e-05 loss) | |
| I0321 19:56:46.830220 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000662051 (* 0.0272727 = 1.80559e-05 loss) | |
| I0321 19:56:46.830235 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.0004329 (* 0.0272727 = 1.18064e-05 loss) | |
| I0321 19:56:46.830250 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000574082 (* 0.0272727 = 1.56568e-05 loss) | |
| I0321 19:56:46.830265 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000411002 (* 0.0272727 = 1.12091e-05 loss) | |
| I0321 19:56:46.830277 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:56:46.830289 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:56:46.830302 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:56:46.830312 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.375 | |
| I0321 19:56:46.830324 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:56:46.830345 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:56:46.830359 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:56:46.830371 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:56:46.830384 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:56:46.830394 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:56:46.830406 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:56:46.830418 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:56:46.830430 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:56:46.830441 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:56:46.830453 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:56:46.830464 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:56:46.830476 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:56:46.830487 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:56:46.830498 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:56:46.830510 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:56:46.830521 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:56:46.830533 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:56:46.830548 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.73163 (* 0.0909091 = 0.24833 loss) | |
| I0321 19:56:46.830561 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.2152 (* 0.0909091 = 0.29229 loss) | |
| I0321 19:56:46.830576 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 2.97739 (* 0.0909091 = 0.270671 loss) | |
| I0321 19:56:46.830590 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.74599 (* 0.0909091 = 0.249635 loss) | |
| I0321 19:56:46.830605 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 3.14132 (* 0.0909091 = 0.285575 loss) | |
| I0321 19:56:46.830618 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.44719 (* 0.0909091 = 0.222472 loss) | |
| I0321 19:56:46.830644 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.85713 (* 0.0909091 = 0.0779209 loss) | |
| I0321 19:56:46.830672 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.590192 (* 0.0909091 = 0.0536538 loss) | |
| I0321 19:56:46.830692 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0158057 (* 0.0909091 = 0.00143688 loss) | |
| I0321 19:56:46.830706 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00654466 (* 0.0909091 = 0.000594969 loss) | |
| I0321 19:56:46.830720 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000229909 (* 0.0909091 = 2.09008e-05 loss) | |
| I0321 19:56:46.830735 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000220618 (* 0.0909091 = 2.00562e-05 loss) | |
| I0321 19:56:46.830749 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.00024325 (* 0.0909091 = 2.21136e-05 loss) | |
| I0321 19:56:46.830766 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000276142 (* 0.0909091 = 2.51038e-05 loss) | |
| I0321 19:56:46.830782 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.00023202 (* 0.0909091 = 2.10927e-05 loss) | |
| I0321 19:56:46.830796 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000252807 (* 0.0909091 = 2.29825e-05 loss) | |
| I0321 19:56:46.830811 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000183985 (* 0.0909091 = 1.67259e-05 loss) | |
| I0321 19:56:46.830826 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000233392 (* 0.0909091 = 2.12174e-05 loss) | |
| I0321 19:56:46.830840 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.00018157 (* 0.0909091 = 1.65064e-05 loss) | |
| I0321 19:56:46.830855 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000239356 (* 0.0909091 = 2.17596e-05 loss) | |
| I0321 19:56:46.830881 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000211416 (* 0.0909091 = 1.92196e-05 loss) | |
| I0321 19:56:46.830898 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000203858 (* 0.0909091 = 1.85326e-05 loss) | |
| I0321 19:56:46.830909 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:56:46.830921 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00159793 | |
| I0321 19:56:46.830935 2639 sgd_solver.cpp:106] Iteration 5000, lr = 0.01 | |
| I0321 19:57:08.694922 2639 solver.cpp:229] Iteration 5100, loss = 2.88937 | |
| I0321 19:57:08.694974 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:57:08.694993 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:57:08.695004 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.125 | |
| I0321 19:57:08.695018 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:57:08.695029 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:57:08.695041 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:57:08.695053 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:57:08.695066 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:57:08.695078 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 0.875 | |
| I0321 19:57:08.695091 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 0.875 | |
| I0321 19:57:08.695103 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:57:08.695116 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:57:08.695128 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:57:08.695142 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:57:08.695154 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:57:08.695166 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:57:08.695178 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:57:08.695189 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:57:08.695200 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:57:08.695212 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:57:08.695225 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:57:08.695235 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:57:08.695251 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.51106 (* 0.0272727 = 0.0684836 loss) | |
| I0321 19:57:08.695266 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.96936 (* 0.0272727 = 0.108255 loss) | |
| I0321 19:57:08.695281 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.91525 (* 0.0272727 = 0.10678 loss) | |
| I0321 19:57:08.695296 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.50419 (* 0.0272727 = 0.0955687 loss) | |
| I0321 19:57:08.695309 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 3.00244 (* 0.0272727 = 0.0818847 loss) | |
| I0321 19:57:08.695323 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.72962 (* 0.0272727 = 0.0471716 loss) | |
| I0321 19:57:08.695338 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.68317 (* 0.0272727 = 0.0459046 loss) | |
| I0321 19:57:08.695353 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.632062 (* 0.0272727 = 0.0172381 loss) | |
| I0321 19:57:08.695366 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.826817 (* 0.0272727 = 0.0225495 loss) | |
| I0321 19:57:08.695381 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.948485 (* 0.0272727 = 0.0258678 loss) | |
| I0321 19:57:08.695396 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00026885 (* 0.0272727 = 7.33228e-06 loss) | |
| I0321 19:57:08.695443 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000252843 (* 0.0272727 = 6.89573e-06 loss) | |
| I0321 19:57:08.695461 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000292559 (* 0.0272727 = 7.97889e-06 loss) | |
| I0321 19:57:08.695474 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000282606 (* 0.0272727 = 7.70745e-06 loss) | |
| I0321 19:57:08.695492 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000272437 (* 0.0272727 = 7.43009e-06 loss) | |
| I0321 19:57:08.695507 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000360222 (* 0.0272727 = 9.82424e-06 loss) | |
| I0321 19:57:08.695521 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.0003157 (* 0.0272727 = 8.61001e-06 loss) | |
| I0321 19:57:08.695535 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000342303 (* 0.0272727 = 9.33552e-06 loss) | |
| I0321 19:57:08.695550 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000440619 (* 0.0272727 = 1.20169e-05 loss) | |
| I0321 19:57:08.695564 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.00029016 (* 0.0272727 = 7.91344e-06 loss) | |
| I0321 19:57:08.695580 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000377799 (* 0.0272727 = 1.03036e-05 loss) | |
| I0321 19:57:08.695593 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000253926 (* 0.0272727 = 6.92526e-06 loss) | |
| I0321 19:57:08.695610 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:57:08.695622 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:57:08.695634 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:57:08.695647 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:57:08.695658 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:57:08.695669 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.5 | |
| I0321 19:57:08.695682 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.625 | |
| I0321 19:57:08.695694 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:57:08.695706 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 0.875 | |
| I0321 19:57:08.695718 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 0.875 | |
| I0321 19:57:08.695734 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:57:08.695746 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:57:08.695758 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:57:08.695770 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:57:08.695781 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:57:08.695793 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:57:08.695804 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:57:08.695819 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:57:08.695832 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:57:08.695842 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:57:08.695854 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:57:08.695865 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:57:08.695879 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.43363 (* 0.0272727 = 0.0663716 loss) | |
| I0321 19:57:08.695894 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 4.21551 (* 0.0272727 = 0.114968 loss) | |
| I0321 19:57:08.695909 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.58919 (* 0.0272727 = 0.0978869 loss) | |
| I0321 19:57:08.695922 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.15652 (* 0.0272727 = 0.0860869 loss) | |
| I0321 19:57:08.695936 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.00891 (* 0.0272727 = 0.0820613 loss) | |
| I0321 19:57:08.695962 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.85312 (* 0.0272727 = 0.0505395 loss) | |
| I0321 19:57:08.695977 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.53528 (* 0.0272727 = 0.0418712 loss) | |
| I0321 19:57:08.695991 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.562219 (* 0.0272727 = 0.0153333 loss) | |
| I0321 19:57:08.696005 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.680067 (* 0.0272727 = 0.0185473 loss) | |
| I0321 19:57:08.696019 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.89706 (* 0.0272727 = 0.0244653 loss) | |
| I0321 19:57:08.696034 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000228027 (* 0.0272727 = 6.21891e-06 loss) | |
| I0321 19:57:08.696069 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000220607 (* 0.0272727 = 6.01654e-06 loss) | |
| I0321 19:57:08.696085 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.00019585 (* 0.0272727 = 5.34136e-06 loss) | |
| I0321 19:57:08.696100 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000301768 (* 0.0272727 = 8.23005e-06 loss) | |
| I0321 19:57:08.696115 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000256785 (* 0.0272727 = 7.00323e-06 loss) | |
| I0321 19:57:08.696130 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000257319 (* 0.0272727 = 7.01779e-06 loss) | |
| I0321 19:57:08.696146 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000241713 (* 0.0272727 = 6.59218e-06 loss) | |
| I0321 19:57:08.696159 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000205437 (* 0.0272727 = 5.60283e-06 loss) | |
| I0321 19:57:08.696173 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000205279 (* 0.0272727 = 5.59851e-06 loss) | |
| I0321 19:57:08.696188 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000184647 (* 0.0272727 = 5.03583e-06 loss) | |
| I0321 19:57:08.696202 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000253707 (* 0.0272727 = 6.91928e-06 loss) | |
| I0321 19:57:08.696218 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00020871 (* 0.0272727 = 5.6921e-06 loss) | |
| I0321 19:57:08.696230 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.375 | |
| I0321 19:57:08.696243 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:57:08.696254 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:57:08.696265 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:57:08.696277 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:57:08.696290 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.5 | |
| I0321 19:57:08.696301 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:57:08.696313 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:57:08.696324 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 0.875 | |
| I0321 19:57:08.696336 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 0.875 | |
| I0321 19:57:08.696348 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:57:08.696360 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:57:08.696372 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:57:08.696382 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:57:08.696394 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:57:08.696406 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:57:08.696418 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:57:08.696429 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:57:08.696441 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:57:08.696452 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:57:08.696465 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:57:08.696491 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:57:08.696507 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.67301 (* 0.0909091 = 0.243001 loss) | |
| I0321 19:57:08.696521 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 4.30007 (* 0.0909091 = 0.390916 loss) | |
| I0321 19:57:08.696532 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 4.1133 (* 0.0909091 = 0.373936 loss) | |
| I0321 19:57:08.696542 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.29955 (* 0.0909091 = 0.299959 loss) | |
| I0321 19:57:08.696557 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.79359 (* 0.0909091 = 0.253963 loss) | |
| I0321 19:57:08.696571 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.08014 (* 0.0909091 = 0.189104 loss) | |
| I0321 19:57:08.696585 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.5025 (* 0.0909091 = 0.136591 loss) | |
| I0321 19:57:08.696599 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.675647 (* 0.0909091 = 0.0614225 loss) | |
| I0321 19:57:08.696614 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.697112 (* 0.0909091 = 0.0633738 loss) | |
| I0321 19:57:08.696627 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.854512 (* 0.0909091 = 0.0776829 loss) | |
| I0321 19:57:08.696641 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000151385 (* 0.0909091 = 1.37622e-05 loss) | |
| I0321 19:57:08.696655 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000150297 (* 0.0909091 = 1.36634e-05 loss) | |
| I0321 19:57:08.696671 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000134229 (* 0.0909091 = 1.22026e-05 loss) | |
| I0321 19:57:08.696684 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000164206 (* 0.0909091 = 1.49278e-05 loss) | |
| I0321 19:57:08.696698 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000106426 (* 0.0909091 = 9.67506e-06 loss) | |
| I0321 19:57:08.696712 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000124685 (* 0.0909091 = 1.1335e-05 loss) | |
| I0321 19:57:08.696727 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000158258 (* 0.0909091 = 1.43871e-05 loss) | |
| I0321 19:57:08.696740 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000142681 (* 0.0909091 = 1.2971e-05 loss) | |
| I0321 19:57:08.696754 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000108573 (* 0.0909091 = 9.87026e-06 loss) | |
| I0321 19:57:08.696768 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.0001295 (* 0.0909091 = 1.17727e-05 loss) | |
| I0321 19:57:08.696786 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000148396 (* 0.0909091 = 1.34906e-05 loss) | |
| I0321 19:57:08.696800 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000151954 (* 0.0909091 = 1.3814e-05 loss) | |
| I0321 19:57:08.696813 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:57:08.696825 2639 solver.cpp:245] Train net output #133: total_confidence = 0.0014835 | |
| I0321 19:57:08.696836 2639 sgd_solver.cpp:106] Iteration 5100, lr = 0.01 | |
| I0321 19:57:30.539230 2639 solver.cpp:229] Iteration 5200, loss = 2.91478 | |
| I0321 19:57:30.539397 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0 | |
| I0321 19:57:30.539417 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:57:30.539430 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:57:30.539443 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:57:30.539455 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.125 | |
| I0321 19:57:30.539468 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:57:30.539479 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:57:30.539491 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:57:30.539505 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:57:30.539515 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:57:30.539527 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:57:30.539540 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:57:30.539551 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:57:30.539562 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:57:30.539574 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:57:30.539587 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:57:30.539597 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:57:30.539609 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:57:30.539621 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:57:30.539633 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:57:30.539644 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:57:30.539655 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:57:30.539674 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.78878 (* 0.0272727 = 0.0760577 loss) | |
| I0321 19:57:30.539690 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.97328 (* 0.0272727 = 0.0810893 loss) | |
| I0321 19:57:30.539705 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 2.84228 (* 0.0272727 = 0.0775166 loss) | |
| I0321 19:57:30.539719 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 2.97376 (* 0.0272727 = 0.0811026 loss) | |
| I0321 19:57:30.539733 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.98059 (* 0.0272727 = 0.0812888 loss) | |
| I0321 19:57:30.539748 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.99929 (* 0.0272727 = 0.0817989 loss) | |
| I0321 19:57:30.539762 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.28935 (* 0.0272727 = 0.035164 loss) | |
| I0321 19:57:30.539777 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0702343 (* 0.0272727 = 0.00191548 loss) | |
| I0321 19:57:30.539791 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0123183 (* 0.0272727 = 0.000335954 loss) | |
| I0321 19:57:30.539806 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00652893 (* 0.0272727 = 0.000178062 loss) | |
| I0321 19:57:30.539821 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000578442 (* 0.0272727 = 1.57757e-05 loss) | |
| I0321 19:57:30.539835 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000427236 (* 0.0272727 = 1.16519e-05 loss) | |
| I0321 19:57:30.539850 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000374939 (* 0.0272727 = 1.02256e-05 loss) | |
| I0321 19:57:30.539865 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000370315 (* 0.0272727 = 1.00995e-05 loss) | |
| I0321 19:57:30.539888 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000362277 (* 0.0272727 = 9.88027e-06 loss) | |
| I0321 19:57:30.539918 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000513907 (* 0.0272727 = 1.40156e-05 loss) | |
| I0321 19:57:30.539947 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000373913 (* 0.0272727 = 1.01976e-05 loss) | |
| I0321 19:57:30.539995 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000389632 (* 0.0272727 = 1.06263e-05 loss) | |
| I0321 19:57:30.540027 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000513567 (* 0.0272727 = 1.40064e-05 loss) | |
| I0321 19:57:30.540083 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000400743 (* 0.0272727 = 1.09293e-05 loss) | |
| I0321 19:57:30.540117 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000380836 (* 0.0272727 = 1.03864e-05 loss) | |
| I0321 19:57:30.540146 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000319268 (* 0.0272727 = 8.70732e-06 loss) | |
| I0321 19:57:30.540170 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:57:30.540195 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:57:30.540220 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.125 | |
| I0321 19:57:30.540246 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:57:30.540269 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.125 | |
| I0321 19:57:30.540290 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:57:30.540315 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:57:30.540340 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:57:30.540365 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:57:30.540390 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:57:30.540419 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:57:30.540446 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:57:30.540470 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:57:30.540493 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:57:30.540518 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:57:30.540541 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:57:30.540565 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:57:30.540591 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:57:30.540616 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:57:30.540639 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:57:30.540663 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:57:30.540686 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:57:30.540719 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.63751 (* 0.0272727 = 0.071932 loss) | |
| I0321 19:57:30.540747 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.01207 (* 0.0272727 = 0.0821473 loss) | |
| I0321 19:57:30.540777 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 2.9593 (* 0.0272727 = 0.0807082 loss) | |
| I0321 19:57:30.540804 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.24916 (* 0.0272727 = 0.0886135 loss) | |
| I0321 19:57:30.540820 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 3.0736 (* 0.0272727 = 0.0838256 loss) | |
| I0321 19:57:30.540835 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 3.10428 (* 0.0272727 = 0.0846621 loss) | |
| I0321 19:57:30.540849 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.39022 (* 0.0272727 = 0.0379151 loss) | |
| I0321 19:57:30.540864 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0767624 (* 0.0272727 = 0.00209352 loss) | |
| I0321 19:57:30.540879 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0143699 (* 0.0272727 = 0.000391907 loss) | |
| I0321 19:57:30.540894 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.004337 (* 0.0272727 = 0.000118282 loss) | |
| I0321 19:57:30.540907 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.00035208 (* 0.0272727 = 9.60217e-06 loss) | |
| I0321 19:57:30.540941 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000343146 (* 0.0272727 = 9.35853e-06 loss) | |
| I0321 19:57:30.540958 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000336556 (* 0.0272727 = 9.17881e-06 loss) | |
| I0321 19:57:30.540972 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000581197 (* 0.0272727 = 1.58508e-05 loss) | |
| I0321 19:57:30.540987 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000323573 (* 0.0272727 = 8.82472e-06 loss) | |
| I0321 19:57:30.541002 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000433476 (* 0.0272727 = 1.18221e-05 loss) | |
| I0321 19:57:30.541016 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000303141 (* 0.0272727 = 8.26748e-06 loss) | |
| I0321 19:57:30.541030 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000382438 (* 0.0272727 = 1.04301e-05 loss) | |
| I0321 19:57:30.541045 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000320895 (* 0.0272727 = 8.75168e-06 loss) | |
| I0321 19:57:30.541059 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000396945 (* 0.0272727 = 1.08258e-05 loss) | |
| I0321 19:57:30.541074 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000398571 (* 0.0272727 = 1.08701e-05 loss) | |
| I0321 19:57:30.541088 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000365282 (* 0.0272727 = 9.96223e-06 loss) | |
| I0321 19:57:30.541101 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:57:30.541113 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:57:30.541126 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.125 | |
| I0321 19:57:30.541137 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.25 | |
| I0321 19:57:30.541149 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.125 | |
| I0321 19:57:30.541162 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:57:30.541173 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.625 | |
| I0321 19:57:30.541184 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:57:30.541196 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:57:30.541208 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:57:30.541220 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:57:30.541231 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:57:30.541242 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:57:30.541254 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:57:30.541266 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:57:30.541277 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:57:30.541290 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:57:30.541301 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:57:30.541312 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:57:30.541323 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:57:30.541335 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:57:30.541347 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:57:30.541360 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.81052 (* 0.0909091 = 0.255502 loss) | |
| I0321 19:57:30.541374 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.02243 (* 0.0909091 = 0.274767 loss) | |
| I0321 19:57:30.541388 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 2.92762 (* 0.0909091 = 0.266148 loss) | |
| I0321 19:57:30.541405 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 2.97332 (* 0.0909091 = 0.270302 loss) | |
| I0321 19:57:30.541432 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.85446 (* 0.0909091 = 0.259496 loss) | |
| I0321 19:57:30.541473 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 3.04086 (* 0.0909091 = 0.276442 loss) | |
| I0321 19:57:30.541504 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.41889 (* 0.0909091 = 0.12899 loss) | |
| I0321 19:57:30.541535 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0528445 (* 0.0909091 = 0.00480405 loss) | |
| I0321 19:57:30.541568 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0149742 (* 0.0909091 = 0.00136129 loss) | |
| I0321 19:57:30.541601 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00346029 (* 0.0909091 = 0.000314572 loss) | |
| I0321 19:57:30.541632 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000127141 (* 0.0909091 = 1.15583e-05 loss) | |
| I0321 19:57:30.541661 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000199968 (* 0.0909091 = 1.81789e-05 loss) | |
| I0321 19:57:30.541687 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000164989 (* 0.0909091 = 1.4999e-05 loss) | |
| I0321 19:57:30.541702 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000155278 (* 0.0909091 = 1.41162e-05 loss) | |
| I0321 19:57:30.541715 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000153903 (* 0.0909091 = 1.39912e-05 loss) | |
| I0321 19:57:30.541730 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000165866 (* 0.0909091 = 1.50787e-05 loss) | |
| I0321 19:57:30.541744 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000152996 (* 0.0909091 = 1.39088e-05 loss) | |
| I0321 19:57:30.541761 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000153482 (* 0.0909091 = 1.39529e-05 loss) | |
| I0321 19:57:30.541779 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000160436 (* 0.0909091 = 1.45851e-05 loss) | |
| I0321 19:57:30.541795 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000147054 (* 0.0909091 = 1.33686e-05 loss) | |
| I0321 19:57:30.541808 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000178696 (* 0.0909091 = 1.62451e-05 loss) | |
| I0321 19:57:30.541823 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000170024 (* 0.0909091 = 1.54567e-05 loss) | |
| I0321 19:57:30.541836 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:57:30.541846 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000753298 | |
| I0321 19:57:30.541859 2639 sgd_solver.cpp:106] Iteration 5200, lr = 0.01 | |
| I0321 19:57:52.448987 2639 solver.cpp:229] Iteration 5300, loss = 2.90296 | |
| I0321 19:57:52.449043 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:57:52.449060 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:57:52.449074 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:57:52.449086 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:57:52.449098 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.25 | |
| I0321 19:57:52.449110 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.25 | |
| I0321 19:57:52.449122 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.75 | |
| I0321 19:57:52.449134 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:57:52.449146 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:57:52.449159 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:57:52.449172 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:57:52.449183 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:57:52.449195 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:57:52.449208 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:57:52.449218 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:57:52.449230 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:57:52.449242 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:57:52.449286 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:57:52.449301 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:57:52.449312 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:57:52.449324 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:57:52.449336 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:57:52.449354 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.87655 (* 0.0272727 = 0.0784513 loss) | |
| I0321 19:57:52.449370 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.3948 (* 0.0272727 = 0.0925856 loss) | |
| I0321 19:57:52.449384 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.05428 (* 0.0272727 = 0.0832986 loss) | |
| I0321 19:57:52.449399 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.32156 (* 0.0272727 = 0.0905881 loss) | |
| I0321 19:57:52.449414 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.77168 (* 0.0272727 = 0.0755913 loss) | |
| I0321 19:57:52.449427 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.63353 (* 0.0272727 = 0.0718236 loss) | |
| I0321 19:57:52.449441 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.29518 (* 0.0272727 = 0.0353232 loss) | |
| I0321 19:57:52.449456 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.837597 (* 0.0272727 = 0.0228436 loss) | |
| I0321 19:57:52.449471 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0424572 (* 0.0272727 = 0.00115792 loss) | |
| I0321 19:57:52.449486 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00952199 (* 0.0272727 = 0.000259691 loss) | |
| I0321 19:57:52.449501 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.00112185 (* 0.0272727 = 3.05959e-05 loss) | |
| I0321 19:57:52.449517 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000826534 (* 0.0272727 = 2.25418e-05 loss) | |
| I0321 19:57:52.449532 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000668117 (* 0.0272727 = 1.82214e-05 loss) | |
| I0321 19:57:52.449545 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000567716 (* 0.0272727 = 1.54832e-05 loss) | |
| I0321 19:57:52.449560 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000577261 (* 0.0272727 = 1.57435e-05 loss) | |
| I0321 19:57:52.449574 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000800416 (* 0.0272727 = 2.18295e-05 loss) | |
| I0321 19:57:52.449589 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.00061786 (* 0.0272727 = 1.68507e-05 loss) | |
| I0321 19:57:52.449604 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000609847 (* 0.0272727 = 1.66322e-05 loss) | |
| I0321 19:57:52.449618 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000588213 (* 0.0272727 = 1.60422e-05 loss) | |
| I0321 19:57:52.449633 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000644403 (* 0.0272727 = 1.75746e-05 loss) | |
| I0321 19:57:52.449647 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000565711 (* 0.0272727 = 1.54285e-05 loss) | |
| I0321 19:57:52.449662 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.00044045 (* 0.0272727 = 1.20123e-05 loss) | |
| I0321 19:57:52.449674 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.125 | |
| I0321 19:57:52.449687 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0.25 | |
| I0321 19:57:52.449703 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0 | |
| I0321 19:57:52.449715 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.25 | |
| I0321 19:57:52.449728 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:57:52.449739 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.25 | |
| I0321 19:57:52.449753 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.75 | |
| I0321 19:57:52.449764 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 0.875 | |
| I0321 19:57:52.449776 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:57:52.449805 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:57:52.449818 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:57:52.449831 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:57:52.449841 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:57:52.449853 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:57:52.449870 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:57:52.449882 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:57:52.449894 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:57:52.449905 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:57:52.449918 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:57:52.449929 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:57:52.449940 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:57:52.449952 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:57:52.449966 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 2.93105 (* 0.0272727 = 0.0799378 loss) | |
| I0321 19:57:52.449980 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.14572 (* 0.0272727 = 0.0857925 loss) | |
| I0321 19:57:52.449995 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 3.27561 (* 0.0272727 = 0.0893349 loss) | |
| I0321 19:57:52.450008 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.18592 (* 0.0272727 = 0.0868888 loss) | |
| I0321 19:57:52.450023 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.79467 (* 0.0272727 = 0.0762182 loss) | |
| I0321 19:57:52.450037 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.65943 (* 0.0272727 = 0.0725298 loss) | |
| I0321 19:57:52.450052 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 1.40958 (* 0.0272727 = 0.0384431 loss) | |
| I0321 19:57:52.450067 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.786072 (* 0.0272727 = 0.0214383 loss) | |
| I0321 19:57:52.450080 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.033199 (* 0.0272727 = 0.000905429 loss) | |
| I0321 19:57:52.450095 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.012484 (* 0.0272727 = 0.000340473 loss) | |
| I0321 19:57:52.450109 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000808972 (* 0.0272727 = 2.20629e-05 loss) | |
| I0321 19:57:52.450124 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.00097477 (* 0.0272727 = 2.65846e-05 loss) | |
| I0321 19:57:52.450139 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000743582 (* 0.0272727 = 2.02795e-05 loss) | |
| I0321 19:57:52.450152 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000850821 (* 0.0272727 = 2.32042e-05 loss) | |
| I0321 19:57:52.450166 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.00142483 (* 0.0272727 = 3.88589e-05 loss) | |
| I0321 19:57:52.450181 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000677737 (* 0.0272727 = 1.84837e-05 loss) | |
| I0321 19:57:52.450196 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000793803 (* 0.0272727 = 2.16492e-05 loss) | |
| I0321 19:57:52.450222 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000880001 (* 0.0272727 = 2.4e-05 loss) | |
| I0321 19:57:52.450248 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000850161 (* 0.0272727 = 2.31862e-05 loss) | |
| I0321 19:57:52.450265 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000714113 (* 0.0272727 = 1.94758e-05 loss) | |
| I0321 19:57:52.450279 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.00118755 (* 0.0272727 = 3.23877e-05 loss) | |
| I0321 19:57:52.450294 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.00117154 (* 0.0272727 = 3.19511e-05 loss) | |
| I0321 19:57:52.450306 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.125 | |
| I0321 19:57:52.450330 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.125 | |
| I0321 19:57:52.450345 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:57:52.450356 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:57:52.450367 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:57:52.450379 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.25 | |
| I0321 19:57:52.450392 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.75 | |
| I0321 19:57:52.450407 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 0.875 | |
| I0321 19:57:52.450419 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:57:52.450431 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:57:52.450443 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:57:52.450454 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:57:52.450466 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:57:52.450477 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:57:52.450489 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:57:52.450500 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:57:52.450512 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:57:52.450523 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:57:52.450536 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:57:52.450546 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:57:52.450558 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:57:52.450569 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:57:52.450583 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 2.94864 (* 0.0909091 = 0.268058 loss) | |
| I0321 19:57:52.450598 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.07718 (* 0.0909091 = 0.279744 loss) | |
| I0321 19:57:52.450613 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.0172 (* 0.0909091 = 0.274291 loss) | |
| I0321 19:57:52.450626 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.31534 (* 0.0909091 = 0.301394 loss) | |
| I0321 19:57:52.450640 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.96822 (* 0.0909091 = 0.269838 loss) | |
| I0321 19:57:52.450654 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.69275 (* 0.0909091 = 0.244796 loss) | |
| I0321 19:57:52.450669 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 1.39476 (* 0.0909091 = 0.126797 loss) | |
| I0321 19:57:52.450682 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.781041 (* 0.0909091 = 0.0710038 loss) | |
| I0321 19:57:52.450696 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0527356 (* 0.0909091 = 0.00479414 loss) | |
| I0321 19:57:52.450711 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.0119618 (* 0.0909091 = 0.00108743 loss) | |
| I0321 19:57:52.450726 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000613377 (* 0.0909091 = 5.57615e-05 loss) | |
| I0321 19:57:52.450739 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000813241 (* 0.0909091 = 7.3931e-05 loss) | |
| I0321 19:57:52.450757 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000838211 (* 0.0909091 = 7.6201e-05 loss) | |
| I0321 19:57:52.450772 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000636036 (* 0.0909091 = 5.78214e-05 loss) | |
| I0321 19:57:52.450786 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000813647 (* 0.0909091 = 7.39679e-05 loss) | |
| I0321 19:57:52.450800 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000708998 (* 0.0909091 = 6.44544e-05 loss) | |
| I0321 19:57:52.450815 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000660281 (* 0.0909091 = 6.00255e-05 loss) | |
| I0321 19:57:52.450840 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 0.000774273 (* 0.0909091 = 7.03885e-05 loss) | |
| I0321 19:57:52.450855 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000989339 (* 0.0909091 = 8.99399e-05 loss) | |
| I0321 19:57:52.450870 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000681895 (* 0.0909091 = 6.19904e-05 loss) | |
| I0321 19:57:52.450884 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000753709 (* 0.0909091 = 6.8519e-05 loss) | |
| I0321 19:57:52.450899 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 0.000673578 (* 0.0909091 = 6.12344e-05 loss) | |
| I0321 19:57:52.450911 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:57:52.450923 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000591265 | |
| I0321 19:57:52.450935 2639 sgd_solver.cpp:106] Iteration 5300, lr = 0.01 | |
| I0321 19:58:14.276425 2639 solver.cpp:229] Iteration 5400, loss = 2.85352 | |
| I0321 19:58:14.276600 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.375 | |
| I0321 19:58:14.276643 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0 | |
| I0321 19:58:14.276671 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0 | |
| I0321 19:58:14.276700 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.25 | |
| I0321 19:58:14.276724 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:58:14.276739 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:58:14.276751 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 1 | |
| I0321 19:58:14.276773 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:58:14.276794 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:58:14.276815 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:58:14.276830 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:58:14.276842 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:58:14.276854 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:58:14.276866 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:58:14.276890 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:58:14.276911 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:58:14.276923 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:58:14.276935 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:58:14.276947 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:58:14.276959 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:58:14.276978 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:58:14.276993 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:58:14.277014 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 1.93131 (* 0.0272727 = 0.0526721 loss) | |
| I0321 19:58:14.277039 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.3055 (* 0.0272727 = 0.09015 loss) | |
| I0321 19:58:14.277052 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.0194 (* 0.0272727 = 0.0823474 loss) | |
| I0321 19:58:14.277067 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.25976 (* 0.0272727 = 0.0889027 loss) | |
| I0321 19:58:14.277081 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.809 (* 0.0272727 = 0.0766091 loss) | |
| I0321 19:58:14.277096 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.02121 (* 0.0272727 = 0.0551238 loss) | |
| I0321 19:58:14.277110 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.325736 (* 0.0272727 = 0.00888371 loss) | |
| I0321 19:58:14.277125 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0266553 (* 0.0272727 = 0.000726963 loss) | |
| I0321 19:58:14.277140 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.00829372 (* 0.0272727 = 0.000226192 loss) | |
| I0321 19:58:14.277154 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00411415 (* 0.0272727 = 0.000112204 loss) | |
| I0321 19:58:14.277169 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000226229 (* 0.0272727 = 6.16987e-06 loss) | |
| I0321 19:58:14.277184 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000174776 (* 0.0272727 = 4.76663e-06 loss) | |
| I0321 19:58:14.277199 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000299644 (* 0.0272727 = 8.1721e-06 loss) | |
| I0321 19:58:14.277212 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000180184 (* 0.0272727 = 4.91412e-06 loss) | |
| I0321 19:58:14.277226 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000225204 (* 0.0272727 = 6.14193e-06 loss) | |
| I0321 19:58:14.277241 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000174916 (* 0.0272727 = 4.77043e-06 loss) | |
| I0321 19:58:14.277256 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000164707 (* 0.0272727 = 4.492e-06 loss) | |
| I0321 19:58:14.277287 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000202951 (* 0.0272727 = 5.53503e-06 loss) | |
| I0321 19:58:14.277307 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000178986 (* 0.0272727 = 4.88143e-06 loss) | |
| I0321 19:58:14.277323 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000237282 (* 0.0272727 = 6.47133e-06 loss) | |
| I0321 19:58:14.277338 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000221202 (* 0.0272727 = 6.03278e-06 loss) | |
| I0321 19:58:14.277351 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000311935 (* 0.0272727 = 8.50731e-06 loss) | |
| I0321 19:58:14.277364 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:58:14.277376 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:58:14.277389 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.25 | |
| I0321 19:58:14.277400 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:58:14.277412 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.25 | |
| I0321 19:58:14.277425 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.375 | |
| I0321 19:58:14.277436 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 1 | |
| I0321 19:58:14.277448 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:58:14.277459 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:58:14.277472 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:58:14.277489 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:58:14.277505 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:58:14.277524 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:58:14.277545 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:58:14.277556 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:58:14.277568 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:58:14.277580 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:58:14.277591 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:58:14.277606 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:58:14.277618 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:58:14.277631 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:58:14.277642 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:58:14.277657 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 1.70866 (* 0.0272727 = 0.0465997 loss) | |
| I0321 19:58:14.277670 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 3.45112 (* 0.0272727 = 0.0941214 loss) | |
| I0321 19:58:14.277684 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 2.85562 (* 0.0272727 = 0.0778807 loss) | |
| I0321 19:58:14.277698 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.6648 (* 0.0272727 = 0.0999491 loss) | |
| I0321 19:58:14.277714 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.53366 (* 0.0272727 = 0.0690999 loss) | |
| I0321 19:58:14.277729 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 2.30449 (* 0.0272727 = 0.0628498 loss) | |
| I0321 19:58:14.277745 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.3567 (* 0.0272727 = 0.00972818 loss) | |
| I0321 19:58:14.277758 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.021964 (* 0.0272727 = 0.000599019 loss) | |
| I0321 19:58:14.277773 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.00892268 (* 0.0272727 = 0.000243346 loss) | |
| I0321 19:58:14.277788 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00331275 (* 0.0272727 = 9.03478e-05 loss) | |
| I0321 19:58:14.277802 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000228739 (* 0.0272727 = 6.23835e-06 loss) | |
| I0321 19:58:14.277832 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000245621 (* 0.0272727 = 6.69875e-06 loss) | |
| I0321 19:58:14.277848 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000309649 (* 0.0272727 = 8.44497e-06 loss) | |
| I0321 19:58:14.277863 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000173236 (* 0.0272727 = 4.72461e-06 loss) | |
| I0321 19:58:14.277876 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000230578 (* 0.0272727 = 6.28849e-06 loss) | |
| I0321 19:58:14.277890 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000180916 (* 0.0272727 = 4.93406e-06 loss) | |
| I0321 19:58:14.277905 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000246215 (* 0.0272727 = 6.71496e-06 loss) | |
| I0321 19:58:14.277920 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000196989 (* 0.0272727 = 5.37244e-06 loss) | |
| I0321 19:58:14.277933 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000212315 (* 0.0272727 = 5.7904e-06 loss) | |
| I0321 19:58:14.277948 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000219847 (* 0.0272727 = 5.99583e-06 loss) | |
| I0321 19:58:14.277962 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000234028 (* 0.0272727 = 6.38257e-06 loss) | |
| I0321 19:58:14.277976 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.0002222 (* 0.0272727 = 6.05999e-06 loss) | |
| I0321 19:58:14.277989 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.375 | |
| I0321 19:58:14.278002 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0 | |
| I0321 19:58:14.278013 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0 | |
| I0321 19:58:14.278024 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:58:14.278036 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.25 | |
| I0321 19:58:14.278048 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.375 | |
| I0321 19:58:14.278059 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 1 | |
| I0321 19:58:14.278071 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:58:14.278082 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:58:14.278095 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:58:14.278105 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:58:14.278117 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:58:14.278128 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:58:14.278141 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:58:14.278151 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:58:14.278163 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:58:14.278174 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:58:14.278187 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:58:14.278198 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:58:14.278209 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:58:14.278220 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:58:14.278233 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:58:14.278246 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 1.79127 (* 0.0909091 = 0.162843 loss) | |
| I0321 19:58:14.278260 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 3.2799 (* 0.0909091 = 0.298173 loss) | |
| I0321 19:58:14.278275 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.28027 (* 0.0909091 = 0.298207 loss) | |
| I0321 19:58:14.278288 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.50334 (* 0.0909091 = 0.318485 loss) | |
| I0321 19:58:14.278302 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.86726 (* 0.0909091 = 0.26066 loss) | |
| I0321 19:58:14.278316 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 2.29217 (* 0.0909091 = 0.208379 loss) | |
| I0321 19:58:14.278342 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.33769 (* 0.0909091 = 0.030699 loss) | |
| I0321 19:58:14.278357 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0197818 (* 0.0909091 = 0.00179834 loss) | |
| I0321 19:58:14.278370 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.00606104 (* 0.0909091 = 0.000551004 loss) | |
| I0321 19:58:14.278384 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00331246 (* 0.0909091 = 0.000301132 loss) | |
| I0321 19:58:14.278399 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 8.68727e-05 (* 0.0909091 = 7.89752e-06 loss) | |
| I0321 19:58:14.278414 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 6.51295e-05 (* 0.0909091 = 5.92086e-06 loss) | |
| I0321 19:58:14.278427 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 6.84236e-05 (* 0.0909091 = 6.22033e-06 loss) | |
| I0321 19:58:14.278441 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 9.11302e-05 (* 0.0909091 = 8.28457e-06 loss) | |
| I0321 19:58:14.278455 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 6.85426e-05 (* 0.0909091 = 6.23114e-06 loss) | |
| I0321 19:58:14.278470 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 7.05244e-05 (* 0.0909091 = 6.41131e-06 loss) | |
| I0321 19:58:14.278483 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 7.81095e-05 (* 0.0909091 = 7.10086e-06 loss) | |
| I0321 19:58:14.278498 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 6.50472e-05 (* 0.0909091 = 5.91338e-06 loss) | |
| I0321 19:58:14.278512 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 5.88704e-05 (* 0.0909091 = 5.35186e-06 loss) | |
| I0321 19:58:14.278527 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 8.65393e-05 (* 0.0909091 = 7.86721e-06 loss) | |
| I0321 19:58:14.278540 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 7.76341e-05 (* 0.0909091 = 7.05765e-06 loss) | |
| I0321 19:58:14.278554 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 7.49064e-05 (* 0.0909091 = 6.80967e-06 loss) | |
| I0321 19:58:14.278566 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:58:14.278578 2639 solver.cpp:245] Train net output #133: total_confidence = 0.00112265 | |
| I0321 19:58:14.278591 2639 sgd_solver.cpp:106] Iteration 5400, lr = 0.01 | |
| I0321 19:58:36.188725 2639 solver.cpp:229] Iteration 5500, loss = 2.89857 | |
| I0321 19:58:36.188781 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.5 | |
| I0321 19:58:36.188798 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:58:36.188812 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:58:36.188824 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0.125 | |
| I0321 19:58:36.188837 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:58:36.188849 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.625 | |
| I0321 19:58:36.188861 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.875 | |
| I0321 19:58:36.188874 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 1 | |
| I0321 19:58:36.188886 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:58:36.188897 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:58:36.188910 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:58:36.188921 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:58:36.188933 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:58:36.188944 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:58:36.188957 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:58:36.188969 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:58:36.188982 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:58:36.189023 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:58:36.189051 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:58:36.189064 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:58:36.189076 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:58:36.189087 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:58:36.189107 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 1.75102 (* 0.0272727 = 0.0477551 loss) | |
| I0321 19:58:36.189122 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 2.87173 (* 0.0272727 = 0.07832 loss) | |
| I0321 19:58:36.189136 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 2.90995 (* 0.0272727 = 0.0793621 loss) | |
| I0321 19:58:36.189154 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.06058 (* 0.0272727 = 0.0834704 loss) | |
| I0321 19:58:36.189169 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.4685 (* 0.0272727 = 0.0673226 loss) | |
| I0321 19:58:36.189184 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 1.36168 (* 0.0272727 = 0.0371369 loss) | |
| I0321 19:58:36.189198 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 0.530636 (* 0.0272727 = 0.0144719 loss) | |
| I0321 19:58:36.189213 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.0363262 (* 0.0272727 = 0.000990716 loss) | |
| I0321 19:58:36.189229 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.00919352 (* 0.0272727 = 0.000250732 loss) | |
| I0321 19:58:36.189244 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.00371168 (* 0.0272727 = 0.000101228 loss) | |
| I0321 19:58:36.189259 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000221939 (* 0.0272727 = 6.05288e-06 loss) | |
| I0321 19:58:36.189273 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000214322 (* 0.0272727 = 5.84516e-06 loss) | |
| I0321 19:58:36.189287 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000275046 (* 0.0272727 = 7.50127e-06 loss) | |
| I0321 19:58:36.189302 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000201019 (* 0.0272727 = 5.48233e-06 loss) | |
| I0321 19:58:36.189317 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000235466 (* 0.0272727 = 6.42179e-06 loss) | |
| I0321 19:58:36.189332 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000209617 (* 0.0272727 = 5.71682e-06 loss) | |
| I0321 19:58:36.189347 2639 solver.cpp:245] Train net output #38: loss1/loss17 = 0.000249149 (* 0.0272727 = 6.79497e-06 loss) | |
| I0321 19:58:36.189360 2639 solver.cpp:245] Train net output #39: loss1/loss18 = 0.000251893 (* 0.0272727 = 6.8698e-06 loss) | |
| I0321 19:58:36.189374 2639 solver.cpp:245] Train net output #40: loss1/loss19 = 0.000182147 (* 0.0272727 = 4.96766e-06 loss) | |
| I0321 19:58:36.189389 2639 solver.cpp:245] Train net output #41: loss1/loss20 = 0.000244567 (* 0.0272727 = 6.67e-06 loss) | |
| I0321 19:58:36.189404 2639 solver.cpp:245] Train net output #42: loss1/loss21 = 0.000187782 (* 0.0272727 = 5.12131e-06 loss) | |
| I0321 19:58:36.189419 2639 solver.cpp:245] Train net output #43: loss1/loss22 = 0.000199373 (* 0.0272727 = 5.43744e-06 loss) | |
| I0321 19:58:36.189432 2639 solver.cpp:245] Train net output #44: loss2/accuracy01 = 0.5 | |
| I0321 19:58:36.189445 2639 solver.cpp:245] Train net output #45: loss2/accuracy02 = 0 | |
| I0321 19:58:36.189455 2639 solver.cpp:245] Train net output #46: loss2/accuracy03 = 0.25 | |
| I0321 19:58:36.189467 2639 solver.cpp:245] Train net output #47: loss2/accuracy04 = 0.125 | |
| I0321 19:58:36.189479 2639 solver.cpp:245] Train net output #48: loss2/accuracy05 = 0.375 | |
| I0321 19:58:36.189491 2639 solver.cpp:245] Train net output #49: loss2/accuracy06 = 0.625 | |
| I0321 19:58:36.189503 2639 solver.cpp:245] Train net output #50: loss2/accuracy07 = 0.875 | |
| I0321 19:58:36.189515 2639 solver.cpp:245] Train net output #51: loss2/accuracy08 = 1 | |
| I0321 19:58:36.189527 2639 solver.cpp:245] Train net output #52: loss2/accuracy09 = 1 | |
| I0321 19:58:36.189545 2639 solver.cpp:245] Train net output #53: loss2/accuracy10 = 1 | |
| I0321 19:58:36.189559 2639 solver.cpp:245] Train net output #54: loss2/accuracy11 = 1 | |
| I0321 19:58:36.189570 2639 solver.cpp:245] Train net output #55: loss2/accuracy12 = 1 | |
| I0321 19:58:36.189587 2639 solver.cpp:245] Train net output #56: loss2/accuracy13 = 1 | |
| I0321 19:58:36.189600 2639 solver.cpp:245] Train net output #57: loss2/accuracy14 = 1 | |
| I0321 19:58:36.189611 2639 solver.cpp:245] Train net output #58: loss2/accuracy15 = 1 | |
| I0321 19:58:36.189623 2639 solver.cpp:245] Train net output #59: loss2/accuracy16 = 1 | |
| I0321 19:58:36.189635 2639 solver.cpp:245] Train net output #60: loss2/accuracy17 = 1 | |
| I0321 19:58:36.189646 2639 solver.cpp:245] Train net output #61: loss2/accuracy18 = 1 | |
| I0321 19:58:36.189657 2639 solver.cpp:245] Train net output #62: loss2/accuracy19 = 1 | |
| I0321 19:58:36.189669 2639 solver.cpp:245] Train net output #63: loss2/accuracy20 = 1 | |
| I0321 19:58:36.189681 2639 solver.cpp:245] Train net output #64: loss2/accuracy21 = 1 | |
| I0321 19:58:36.189692 2639 solver.cpp:245] Train net output #65: loss2/accuracy22 = 1 | |
| I0321 19:58:36.189707 2639 solver.cpp:245] Train net output #66: loss2/loss01 = 1.72872 (* 0.0272727 = 0.047147 loss) | |
| I0321 19:58:36.189723 2639 solver.cpp:245] Train net output #67: loss2/loss02 = 2.91759 (* 0.0272727 = 0.0795705 loss) | |
| I0321 19:58:36.189738 2639 solver.cpp:245] Train net output #68: loss2/loss03 = 2.74689 (* 0.0272727 = 0.0749151 loss) | |
| I0321 19:58:36.189752 2639 solver.cpp:245] Train net output #69: loss2/loss04 = 3.01076 (* 0.0272727 = 0.0821116 loss) | |
| I0321 19:58:36.189766 2639 solver.cpp:245] Train net output #70: loss2/loss05 = 2.16583 (* 0.0272727 = 0.0590681 loss) | |
| I0321 19:58:36.189781 2639 solver.cpp:245] Train net output #71: loss2/loss06 = 1.38827 (* 0.0272727 = 0.037862 loss) | |
| I0321 19:58:36.189795 2639 solver.cpp:245] Train net output #72: loss2/loss07 = 0.525199 (* 0.0272727 = 0.0143236 loss) | |
| I0321 19:58:36.189810 2639 solver.cpp:245] Train net output #73: loss2/loss08 = 0.0396418 (* 0.0272727 = 0.00108114 loss) | |
| I0321 19:58:36.189824 2639 solver.cpp:245] Train net output #74: loss2/loss09 = 0.0109752 (* 0.0272727 = 0.000299323 loss) | |
| I0321 19:58:36.189839 2639 solver.cpp:245] Train net output #75: loss2/loss10 = 0.00369549 (* 0.0272727 = 0.000100786 loss) | |
| I0321 19:58:36.189853 2639 solver.cpp:245] Train net output #76: loss2/loss11 = 0.000272354 (* 0.0272727 = 7.42784e-06 loss) | |
| I0321 19:58:36.189867 2639 solver.cpp:245] Train net output #77: loss2/loss12 = 0.000220178 (* 0.0272727 = 6.00486e-06 loss) | |
| I0321 19:58:36.189882 2639 solver.cpp:245] Train net output #78: loss2/loss13 = 0.000273434 (* 0.0272727 = 7.4573e-06 loss) | |
| I0321 19:58:36.189896 2639 solver.cpp:245] Train net output #79: loss2/loss14 = 0.000221423 (* 0.0272727 = 6.03881e-06 loss) | |
| I0321 19:58:36.189910 2639 solver.cpp:245] Train net output #80: loss2/loss15 = 0.000216654 (* 0.0272727 = 5.90873e-06 loss) | |
| I0321 19:58:36.189925 2639 solver.cpp:245] Train net output #81: loss2/loss16 = 0.000280884 (* 0.0272727 = 7.66047e-06 loss) | |
| I0321 19:58:36.189939 2639 solver.cpp:245] Train net output #82: loss2/loss17 = 0.000322659 (* 0.0272727 = 8.7998e-06 loss) | |
| I0321 19:58:36.189954 2639 solver.cpp:245] Train net output #83: loss2/loss18 = 0.000199204 (* 0.0272727 = 5.43284e-06 loss) | |
| I0321 19:58:36.189968 2639 solver.cpp:245] Train net output #84: loss2/loss19 = 0.000227779 (* 0.0272727 = 6.21214e-06 loss) | |
| I0321 19:58:36.189982 2639 solver.cpp:245] Train net output #85: loss2/loss20 = 0.000229769 (* 0.0272727 = 6.26643e-06 loss) | |
| I0321 19:58:36.189997 2639 solver.cpp:245] Train net output #86: loss2/loss21 = 0.000250737 (* 0.0272727 = 6.83828e-06 loss) | |
| I0321 19:58:36.190011 2639 solver.cpp:245] Train net output #87: loss2/loss22 = 0.000255122 (* 0.0272727 = 6.95787e-06 loss) | |
| I0321 19:58:36.190024 2639 solver.cpp:245] Train net output #88: loss3/accuracy01 = 0.5 | |
| I0321 19:58:36.190045 2639 solver.cpp:245] Train net output #89: loss3/accuracy02 = 0.25 | |
| I0321 19:58:36.190059 2639 solver.cpp:245] Train net output #90: loss3/accuracy03 = 0.25 | |
| I0321 19:58:36.190071 2639 solver.cpp:245] Train net output #91: loss3/accuracy04 = 0.125 | |
| I0321 19:58:36.190083 2639 solver.cpp:245] Train net output #92: loss3/accuracy05 = 0.375 | |
| I0321 19:58:36.190094 2639 solver.cpp:245] Train net output #93: loss3/accuracy06 = 0.625 | |
| I0321 19:58:36.190106 2639 solver.cpp:245] Train net output #94: loss3/accuracy07 = 0.875 | |
| I0321 19:58:36.190119 2639 solver.cpp:245] Train net output #95: loss3/accuracy08 = 1 | |
| I0321 19:58:36.190129 2639 solver.cpp:245] Train net output #96: loss3/accuracy09 = 1 | |
| I0321 19:58:36.190140 2639 solver.cpp:245] Train net output #97: loss3/accuracy10 = 1 | |
| I0321 19:58:36.190152 2639 solver.cpp:245] Train net output #98: loss3/accuracy11 = 1 | |
| I0321 19:58:36.190165 2639 solver.cpp:245] Train net output #99: loss3/accuracy12 = 1 | |
| I0321 19:58:36.190176 2639 solver.cpp:245] Train net output #100: loss3/accuracy13 = 1 | |
| I0321 19:58:36.190186 2639 solver.cpp:245] Train net output #101: loss3/accuracy14 = 1 | |
| I0321 19:58:36.190201 2639 solver.cpp:245] Train net output #102: loss3/accuracy15 = 1 | |
| I0321 19:58:36.190213 2639 solver.cpp:245] Train net output #103: loss3/accuracy16 = 1 | |
| I0321 19:58:36.190224 2639 solver.cpp:245] Train net output #104: loss3/accuracy17 = 1 | |
| I0321 19:58:36.190237 2639 solver.cpp:245] Train net output #105: loss3/accuracy18 = 1 | |
| I0321 19:58:36.190248 2639 solver.cpp:245] Train net output #106: loss3/accuracy19 = 1 | |
| I0321 19:58:36.190259 2639 solver.cpp:245] Train net output #107: loss3/accuracy20 = 1 | |
| I0321 19:58:36.190271 2639 solver.cpp:245] Train net output #108: loss3/accuracy21 = 1 | |
| I0321 19:58:36.190282 2639 solver.cpp:245] Train net output #109: loss3/accuracy22 = 1 | |
| I0321 19:58:36.190297 2639 solver.cpp:245] Train net output #110: loss3/loss01 = 1.57603 (* 0.0909091 = 0.143276 loss) | |
| I0321 19:58:36.190311 2639 solver.cpp:245] Train net output #111: loss3/loss02 = 2.91376 (* 0.0909091 = 0.264888 loss) | |
| I0321 19:58:36.190325 2639 solver.cpp:245] Train net output #112: loss3/loss03 = 3.03311 (* 0.0909091 = 0.275737 loss) | |
| I0321 19:58:36.190340 2639 solver.cpp:245] Train net output #113: loss3/loss04 = 3.20424 (* 0.0909091 = 0.291295 loss) | |
| I0321 19:58:36.190354 2639 solver.cpp:245] Train net output #114: loss3/loss05 = 2.49564 (* 0.0909091 = 0.226877 loss) | |
| I0321 19:58:36.190368 2639 solver.cpp:245] Train net output #115: loss3/loss06 = 1.51846 (* 0.0909091 = 0.138041 loss) | |
| I0321 19:58:36.190382 2639 solver.cpp:245] Train net output #116: loss3/loss07 = 0.564863 (* 0.0909091 = 0.0513511 loss) | |
| I0321 19:58:36.190397 2639 solver.cpp:245] Train net output #117: loss3/loss08 = 0.0232368 (* 0.0909091 = 0.00211243 loss) | |
| I0321 19:58:36.190410 2639 solver.cpp:245] Train net output #118: loss3/loss09 = 0.0084629 (* 0.0909091 = 0.000769355 loss) | |
| I0321 19:58:36.190424 2639 solver.cpp:245] Train net output #119: loss3/loss10 = 0.00303304 (* 0.0909091 = 0.000275731 loss) | |
| I0321 19:58:36.190439 2639 solver.cpp:245] Train net output #120: loss3/loss11 = 0.000119016 (* 0.0909091 = 1.08196e-05 loss) | |
| I0321 19:58:36.190454 2639 solver.cpp:245] Train net output #121: loss3/loss12 = 0.000119848 (* 0.0909091 = 1.08952e-05 loss) | |
| I0321 19:58:36.190469 2639 solver.cpp:245] Train net output #122: loss3/loss13 = 0.000120656 (* 0.0909091 = 1.09687e-05 loss) | |
| I0321 19:58:36.190482 2639 solver.cpp:245] Train net output #123: loss3/loss14 = 0.000139722 (* 0.0909091 = 1.2702e-05 loss) | |
| I0321 19:58:36.190497 2639 solver.cpp:245] Train net output #124: loss3/loss15 = 0.000109691 (* 0.0909091 = 9.97192e-06 loss) | |
| I0321 19:58:36.190511 2639 solver.cpp:245] Train net output #125: loss3/loss16 = 0.000148451 (* 0.0909091 = 1.34956e-05 loss) | |
| I0321 19:58:36.190526 2639 solver.cpp:245] Train net output #126: loss3/loss17 = 0.000104106 (* 0.0909091 = 9.46419e-06 loss) | |
| I0321 19:58:36.190551 2639 solver.cpp:245] Train net output #127: loss3/loss18 = 9.46921e-05 (* 0.0909091 = 8.60837e-06 loss) | |
| I0321 19:58:36.190567 2639 solver.cpp:245] Train net output #128: loss3/loss19 = 0.000115188 (* 0.0909091 = 1.04716e-05 loss) | |
| I0321 19:58:36.190580 2639 solver.cpp:245] Train net output #129: loss3/loss20 = 0.000114672 (* 0.0909091 = 1.04247e-05 loss) | |
| I0321 19:58:36.190595 2639 solver.cpp:245] Train net output #130: loss3/loss21 = 0.000110313 (* 0.0909091 = 1.00285e-05 loss) | |
| I0321 19:58:36.190609 2639 solver.cpp:245] Train net output #131: loss3/loss22 = 9.38502e-05 (* 0.0909091 = 8.53183e-06 loss) | |
| I0321 19:58:36.190623 2639 solver.cpp:245] Train net output #132: total_accuracy = 0 | |
| I0321 19:58:36.190634 2639 solver.cpp:245] Train net output #133: total_confidence = 0.000423524 | |
| I0321 19:58:36.190646 2639 sgd_solver.cpp:106] Iteration 5500, lr = 0.01 | |
| I0321 19:58:58.095136 2639 solver.cpp:229] Iteration 5600, loss = 2.85593 | |
| I0321 19:58:58.095296 2639 solver.cpp:245] Train net output #0: loss1/accuracy01 = 0.25 | |
| I0321 19:58:58.095319 2639 solver.cpp:245] Train net output #1: loss1/accuracy02 = 0.125 | |
| I0321 19:58:58.095340 2639 solver.cpp:245] Train net output #2: loss1/accuracy03 = 0.25 | |
| I0321 19:58:58.095353 2639 solver.cpp:245] Train net output #3: loss1/accuracy04 = 0 | |
| I0321 19:58:58.095366 2639 solver.cpp:245] Train net output #4: loss1/accuracy05 = 0.375 | |
| I0321 19:58:58.095377 2639 solver.cpp:245] Train net output #5: loss1/accuracy06 = 0.375 | |
| I0321 19:58:58.095389 2639 solver.cpp:245] Train net output #6: loss1/accuracy07 = 0.625 | |
| I0321 19:58:58.095402 2639 solver.cpp:245] Train net output #7: loss1/accuracy08 = 0.875 | |
| I0321 19:58:58.095415 2639 solver.cpp:245] Train net output #8: loss1/accuracy09 = 1 | |
| I0321 19:58:58.095427 2639 solver.cpp:245] Train net output #9: loss1/accuracy10 = 1 | |
| I0321 19:58:58.095439 2639 solver.cpp:245] Train net output #10: loss1/accuracy11 = 1 | |
| I0321 19:58:58.095450 2639 solver.cpp:245] Train net output #11: loss1/accuracy12 = 1 | |
| I0321 19:58:58.095463 2639 solver.cpp:245] Train net output #12: loss1/accuracy13 = 1 | |
| I0321 19:58:58.095477 2639 solver.cpp:245] Train net output #13: loss1/accuracy14 = 1 | |
| I0321 19:58:58.095513 2639 solver.cpp:245] Train net output #14: loss1/accuracy15 = 1 | |
| I0321 19:58:58.095541 2639 solver.cpp:245] Train net output #15: loss1/accuracy16 = 1 | |
| I0321 19:58:58.095571 2639 solver.cpp:245] Train net output #16: loss1/accuracy17 = 1 | |
| I0321 19:58:58.095587 2639 solver.cpp:245] Train net output #17: loss1/accuracy18 = 1 | |
| I0321 19:58:58.095599 2639 solver.cpp:245] Train net output #18: loss1/accuracy19 = 1 | |
| I0321 19:58:58.095612 2639 solver.cpp:245] Train net output #19: loss1/accuracy20 = 1 | |
| I0321 19:58:58.095623 2639 solver.cpp:245] Train net output #20: loss1/accuracy21 = 1 | |
| I0321 19:58:58.095635 2639 solver.cpp:245] Train net output #21: loss1/accuracy22 = 1 | |
| I0321 19:58:58.095651 2639 solver.cpp:245] Train net output #22: loss1/loss01 = 2.92582 (* 0.0272727 = 0.0797951 loss) | |
| I0321 19:58:58.095670 2639 solver.cpp:245] Train net output #23: loss1/loss02 = 3.29382 (* 0.0272727 = 0.0898314 loss) | |
| I0321 19:58:58.095685 2639 solver.cpp:245] Train net output #24: loss1/loss03 = 3.48727 (* 0.0272727 = 0.0951074 loss) | |
| I0321 19:58:58.095700 2639 solver.cpp:245] Train net output #25: loss1/loss04 = 3.6082 (* 0.0272727 = 0.0984055 loss) | |
| I0321 19:58:58.095715 2639 solver.cpp:245] Train net output #26: loss1/loss05 = 2.53763 (* 0.0272727 = 0.0692081 loss) | |
| I0321 19:58:58.095729 2639 solver.cpp:245] Train net output #27: loss1/loss06 = 2.35359 (* 0.0272727 = 0.0641887 loss) | |
| I0321 19:58:58.095743 2639 solver.cpp:245] Train net output #28: loss1/loss07 = 1.71388 (* 0.0272727 = 0.0467422 loss) | |
| I0321 19:58:58.095758 2639 solver.cpp:245] Train net output #29: loss1/loss08 = 0.446863 (* 0.0272727 = 0.0121872 loss) | |
| I0321 19:58:58.095773 2639 solver.cpp:245] Train net output #30: loss1/loss09 = 0.0394648 (* 0.0272727 = 0.00107631 loss) | |
| I0321 19:58:58.095788 2639 solver.cpp:245] Train net output #31: loss1/loss10 = 0.0129083 (* 0.0272727 = 0.000352044 loss) | |
| I0321 19:58:58.095804 2639 solver.cpp:245] Train net output #32: loss1/loss11 = 0.000346785 (* 0.0272727 = 9.45778e-06 loss) | |
| I0321 19:58:58.095819 2639 solver.cpp:245] Train net output #33: loss1/loss12 = 0.000267993 (* 0.0272727 = 7.3089e-06 loss) | |
| I0321 19:58:58.095835 2639 solver.cpp:245] Train net output #34: loss1/loss13 = 0.000455292 (* 0.0272727 = 1.24171e-05 loss) | |
| I0321 19:58:58.095870 2639 solver.cpp:245] Train net output #35: loss1/loss14 = 0.000431065 (* 0.0272727 = 1.17563e-05 loss) | |
| I0321 19:58:58.095904 2639 solver.cpp:245] Train net output #36: loss1/loss15 = 0.000426815 (* 0.0272727 = 1.16404e-05 loss) | |
| I0321 19:58:58.095927 2639 solver.cpp:245] Train net output #37: loss1/loss16 = 0.000406259 (* 0.0272727 = 1.10798e-05 loss) | |
| I0321 |
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