Created
March 22, 2018 14:48
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Training log for DE-EN MUSE
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INFO - 03/21/18 14:43:48 - 0:00:00 - ============ Initialized logger ============ | |
INFO - 03/21/18 14:43:48 - 0:00:00 - adversarial: True | |
batch_size: 32 | |
cuda: True | |
dico_build: S2T&T2S | |
dico_max_rank: 15000 | |
dico_max_size: 0 | |
dico_method: csls_knn_10 | |
dico_min_size: 0 | |
dico_threshold: 0 | |
dis_clip_weights: 0 | |
dis_dropout: 0.0 | |
dis_hid_dim: 2048 | |
dis_input_dropout: 0.1 | |
dis_lambda: 1 | |
dis_layers: 2 | |
dis_most_frequent: 75000 | |
dis_optimizer: sgd,lr=0.1 | |
dis_smooth: 0.1 | |
dis_steps: 5 | |
emb_dim: 300 | |
epoch_size: 1000000 | |
exp_path: dumped/de-en-unsup | |
export: True | |
lr_decay: 0.98 | |
lr_shrink: 0.5 | |
map_beta: 0.001 | |
map_id_init: True | |
map_optimizer: sgd,lr=0.1 | |
max_vocab: 200000 | |
min_lr: 1e-06 | |
n_epochs: 5 | |
n_iters: 5 | |
normalize_embeddings: | |
refinement: False | |
seed: -1 | |
src_emb: data/fasttext-vectors/wiki.de.vec | |
src_lang: de | |
tgt_emb: data/fasttext-vectors/wiki.en.vec | |
tgt_lang: en | |
verbose: 2 | |
INFO - 03/21/18 14:43:48 - 0:00:00 - The experiment will be stored in dumped/de-en-unsup | |
INFO - 03/21/18 14:44:04 - 0:00:15 - Loaded 200000 pre-trained word embeddings | |
INFO - 03/21/18 14:44:47 - 0:00:59 - Loaded 200000 pre-trained word embeddings | |
INFO - 03/21/18 14:44:55 - 0:01:07 - ----> ADVERSARIAL TRAINING <---- | |
INFO - 03/21/18 14:44:55 - 0:01:07 - Starting adversarial training epoch 0... | |
INFO - 03/21/18 14:44:57 - 0:01:08 - 000000 - Discriminator loss: 0.6788 - 37 samples/s | |
INFO - 03/21/18 14:44:58 - 0:01:10 - 004000 - Discriminator loss: 0.6083 - 4684 samples/s | |
INFO - 03/21/18 14:45:00 - 0:01:12 - 008000 - Discriminator loss: 0.5122 - 4711 samples/s | |
INFO - 03/21/18 14:45:02 - 0:01:13 - 012000 - Discriminator loss: 0.5405 - 5065 samples/s | |
INFO - 03/21/18 14:45:04 - 0:01:15 - 016000 - Discriminator loss: 0.5420 - 4272 samples/s | |
INFO - 03/21/18 14:45:05 - 0:01:17 - 020000 - Discriminator loss: 0.5404 - 5442 samples/s | |
INFO - 03/21/18 14:45:07 - 0:01:19 - 024000 - Discriminator loss: 0.5237 - 4369 samples/s | |
INFO - 03/21/18 14:45:09 - 0:01:21 - 028000 - Discriminator loss: 0.5099 - 4006 samples/s | |
INFO - 03/21/18 14:45:10 - 0:01:22 - 032000 - Discriminator loss: 0.4941 - 5496 samples/s | |
INFO - 03/21/18 14:45:12 - 0:01:24 - 036000 - Discriminator loss: 0.4858 - 4938 samples/s | |
INFO - 03/21/18 14:45:14 - 0:01:25 - 040000 - Discriminator loss: 0.4817 - 4837 samples/s | |
INFO - 03/21/18 14:45:15 - 0:01:27 - 044000 - Discriminator loss: 0.4719 - 4680 samples/s | |
INFO - 03/21/18 14:45:17 - 0:01:29 - 048000 - Discriminator loss: 0.4683 - 5242 samples/s | |
INFO - 03/21/18 14:45:18 - 0:01:30 - 052000 - Discriminator loss: 0.4600 - 5214 samples/s | |
INFO - 03/21/18 14:45:20 - 0:01:32 - 056000 - Discriminator loss: 0.4584 - 5040 samples/s | |
INFO - 03/21/18 14:45:22 - 0:01:34 - 060000 - Discriminator loss: 0.4577 - 4317 samples/s | |
INFO - 03/21/18 14:45:23 - 0:01:35 - 064000 - Discriminator loss: 0.4532 - 5243 samples/s | |
INFO - 03/21/18 14:45:25 - 0:01:37 - 068000 - Discriminator loss: 0.4542 - 4942 samples/s | |
INFO - 03/21/18 14:45:27 - 0:01:38 - 072000 - Discriminator loss: 0.4473 - 4934 samples/s | |
INFO - 03/21/18 14:45:28 - 0:01:40 - 076000 - Discriminator loss: 0.4474 - 5236 samples/s | |
INFO - 03/21/18 14:45:30 - 0:01:41 - 080000 - Discriminator loss: 0.4432 - 5396 samples/s | |
INFO - 03/21/18 14:45:31 - 0:01:43 - 084000 - Discriminator loss: 0.4402 - 4592 samples/s | |
INFO - 03/21/18 14:45:33 - 0:01:45 - 088000 - Discriminator loss: 0.4377 - 4850 samples/s | |
INFO - 03/21/18 14:45:35 - 0:01:46 - 092000 - Discriminator loss: 0.4355 - 4919 samples/s | |
INFO - 03/21/18 14:45:36 - 0:01:48 - 096000 - Discriminator loss: 0.4359 - 4988 samples/s | |
INFO - 03/21/18 14:45:38 - 0:01:50 - 100000 - Discriminator loss: 0.4358 - 4456 samples/s | |
INFO - 03/21/18 14:45:40 - 0:01:51 - 104000 - Discriminator loss: 0.4337 - 5205 samples/s | |
INFO - 03/21/18 14:45:41 - 0:01:53 - 108000 - Discriminator loss: 0.4340 - 4866 samples/s | |
INFO - 03/21/18 14:45:43 - 0:01:54 - 112000 - Discriminator loss: 0.4324 - 5075 samples/s | |
INFO - 03/21/18 14:45:45 - 0:01:56 - 116000 - Discriminator loss: 0.4319 - 4707 samples/s | |
INFO - 03/21/18 14:45:46 - 0:01:58 - 120000 - Discriminator loss: 0.4300 - 4783 samples/s | |
INFO - 03/21/18 14:45:48 - 0:01:59 - 124000 - Discriminator loss: 0.4324 - 5217 samples/s | |
INFO - 03/21/18 14:45:49 - 0:02:01 - 128000 - Discriminator loss: 0.4281 - 5024 samples/s | |
INFO - 03/21/18 14:45:51 - 0:02:03 - 132000 - Discriminator loss: 0.4284 - 5161 samples/s | |
INFO - 03/21/18 14:45:52 - 0:02:04 - 136000 - Discriminator loss: 0.4287 - 5175 samples/s | |
INFO - 03/21/18 14:45:54 - 0:02:06 - 140000 - Discriminator loss: 0.4281 - 4599 samples/s | |
INFO - 03/21/18 14:45:56 - 0:02:07 - 144000 - Discriminator loss: 0.4259 - 4922 samples/s | |
INFO - 03/21/18 14:45:57 - 0:02:09 - 148000 - Discriminator loss: 0.4254 - 4786 samples/s | |
INFO - 03/21/18 14:45:59 - 0:02:11 - 152000 - Discriminator loss: 0.4246 - 5304 samples/s | |
INFO - 03/21/18 14:46:01 - 0:02:12 - 156000 - Discriminator loss: 0.4242 - 4998 samples/s | |
INFO - 03/21/18 14:46:02 - 0:02:14 - 160000 - Discriminator loss: 0.4223 - 4748 samples/s | |
INFO - 03/21/18 14:46:04 - 0:02:16 - 164000 - Discriminator loss: 0.4208 - 4868 samples/s | |
INFO - 03/21/18 14:46:06 - 0:02:18 - 168000 - Discriminator loss: 0.4204 - 4105 samples/s | |
INFO - 03/21/18 14:46:07 - 0:02:19 - 172000 - Discriminator loss: 0.4214 - 5181 samples/s | |
INFO - 03/21/18 14:46:09 - 0:02:21 - 176000 - Discriminator loss: 0.4192 - 5421 samples/s | |
INFO - 03/21/18 14:46:10 - 0:02:22 - 180000 - Discriminator loss: 0.4197 - 5644 samples/s | |
INFO - 03/21/18 14:46:12 - 0:02:23 - 184000 - Discriminator loss: 0.4187 - 5146 samples/s | |
INFO - 03/21/18 14:46:13 - 0:02:25 - 188000 - Discriminator loss: 0.4175 - 5113 samples/s | |
INFO - 03/21/18 14:46:15 - 0:02:27 - 192000 - Discriminator loss: 0.4173 - 4715 samples/s | |
INFO - 03/21/18 14:46:17 - 0:02:29 - 196000 - Discriminator loss: 0.4175 - 4334 samples/s | |
INFO - 03/21/18 14:46:19 - 0:02:30 - 200000 - Discriminator loss: 0.4149 - 4451 samples/s | |
INFO - 03/21/18 14:46:20 - 0:02:32 - 204000 - Discriminator loss: 0.4152 - 5220 samples/s | |
INFO - 03/21/18 14:46:22 - 0:02:34 - 208000 - Discriminator loss: 0.4152 - 4887 samples/s | |
INFO - 03/21/18 14:46:23 - 0:02:35 - 212000 - Discriminator loss: 0.4149 - 5493 samples/s | |
INFO - 03/21/18 14:46:25 - 0:02:37 - 216000 - Discriminator loss: 0.4143 - 5134 samples/s | |
INFO - 03/21/18 14:46:27 - 0:02:38 - 220000 - Discriminator loss: 0.4116 - 4369 samples/s | |
INFO - 03/21/18 14:46:28 - 0:02:40 - 224000 - Discriminator loss: 0.4110 - 5422 samples/s | |
INFO - 03/21/18 14:46:30 - 0:02:42 - 228000 - Discriminator loss: 0.4127 - 4705 samples/s | |
INFO - 03/21/18 14:46:32 - 0:02:43 - 232000 - Discriminator loss: 0.4116 - 4933 samples/s | |
INFO - 03/21/18 14:46:33 - 0:02:45 - 236000 - Discriminator loss: 0.4093 - 5033 samples/s | |
INFO - 03/21/18 14:46:35 - 0:02:46 - 240000 - Discriminator loss: 0.4095 - 5106 samples/s | |
INFO - 03/21/18 14:46:36 - 0:02:48 - 244000 - Discriminator loss: 0.4080 - 5140 samples/s | |
INFO - 03/21/18 14:46:38 - 0:02:50 - 248000 - Discriminator loss: 0.4097 - 4928 samples/s | |
INFO - 03/21/18 14:46:39 - 0:02:51 - 252000 - Discriminator loss: 0.4057 - 5271 samples/s | |
INFO - 03/21/18 14:46:41 - 0:02:53 - 256000 - Discriminator loss: 0.4055 - 4891 samples/s | |
INFO - 03/21/18 14:46:43 - 0:02:54 - 260000 - Discriminator loss: 0.4050 - 5178 samples/s | |
INFO - 03/21/18 14:46:44 - 0:02:56 - 264000 - Discriminator loss: 0.4075 - 5068 samples/s | |
INFO - 03/21/18 14:46:46 - 0:02:58 - 268000 - Discriminator loss: 0.4074 - 4652 samples/s | |
INFO - 03/21/18 14:46:47 - 0:02:59 - 272000 - Discriminator loss: 0.4038 - 5247 samples/s | |
INFO - 03/21/18 14:46:49 - 0:03:01 - 276000 - Discriminator loss: 0.4050 - 5324 samples/s | |
INFO - 03/21/18 14:46:50 - 0:03:02 - 280000 - Discriminator loss: 0.4062 - 5429 samples/s | |
INFO - 03/21/18 14:46:52 - 0:03:04 - 284000 - Discriminator loss: 0.4055 - 4082 samples/s | |
INFO - 03/21/18 14:46:54 - 0:03:06 - 288000 - Discriminator loss: 0.4056 - 4963 samples/s | |
INFO - 03/21/18 14:46:55 - 0:03:07 - 292000 - Discriminator loss: 0.4029 - 5182 samples/s | |
INFO - 03/21/18 14:46:57 - 0:03:09 - 296000 - Discriminator loss: 0.4064 - 5236 samples/s | |
INFO - 03/21/18 14:46:59 - 0:03:10 - 300000 - Discriminator loss: 0.4055 - 5246 samples/s | |
INFO - 03/21/18 14:47:00 - 0:03:12 - 304000 - Discriminator loss: 0.4056 - 4382 samples/s | |
INFO - 03/21/18 14:47:02 - 0:03:14 - 308000 - Discriminator loss: 0.4049 - 4710 samples/s | |
INFO - 03/21/18 14:47:04 - 0:03:16 - 312000 - Discriminator loss: 0.4039 - 4123 samples/s | |
INFO - 03/21/18 14:47:06 - 0:03:17 - 316000 - Discriminator loss: 0.4047 - 5347 samples/s | |
INFO - 03/21/18 14:47:07 - 0:03:19 - 320000 - Discriminator loss: 0.4057 - 5451 samples/s | |
INFO - 03/21/18 14:47:09 - 0:03:20 - 324000 - Discriminator loss: 0.4068 - 5011 samples/s | |
INFO - 03/21/18 14:47:10 - 0:03:22 - 328000 - Discriminator loss: 0.4051 - 5306 samples/s | |
INFO - 03/21/18 14:47:12 - 0:03:23 - 332000 - Discriminator loss: 0.4056 - 5206 samples/s | |
INFO - 03/21/18 14:47:13 - 0:03:25 - 336000 - Discriminator loss: 0.4087 - 4794 samples/s | |
INFO - 03/21/18 14:47:15 - 0:03:26 - 340000 - Discriminator loss: 0.4071 - 5303 samples/s | |
INFO - 03/21/18 14:47:16 - 0:03:28 - 344000 - Discriminator loss: 0.4082 - 5386 samples/s | |
INFO - 03/21/18 14:47:18 - 0:03:30 - 348000 - Discriminator loss: 0.4105 - 4055 samples/s | |
INFO - 03/21/18 14:47:20 - 0:03:32 - 352000 - Discriminator loss: 0.4107 - 4863 samples/s | |
INFO - 03/21/18 14:47:21 - 0:03:33 - 356000 - Discriminator loss: 0.4141 - 5170 samples/s | |
INFO - 03/21/18 14:47:23 - 0:03:35 - 360000 - Discriminator loss: 0.4162 - 5142 samples/s | |
INFO - 03/21/18 14:47:25 - 0:03:36 - 364000 - Discriminator loss: 0.4206 - 4917 samples/s | |
INFO - 03/21/18 14:47:26 - 0:03:38 - 368000 - Discriminator loss: 0.4228 - 4694 samples/s | |
INFO - 03/21/18 14:47:28 - 0:03:40 - 372000 - Discriminator loss: 0.4268 - 5389 samples/s | |
INFO - 03/21/18 14:47:29 - 0:03:41 - 376000 - Discriminator loss: 0.4313 - 5231 samples/s | |
INFO - 03/21/18 14:47:31 - 0:03:43 - 380000 - Discriminator loss: 0.4350 - 4429 samples/s | |
INFO - 03/21/18 14:47:33 - 0:03:45 - 384000 - Discriminator loss: 0.4384 - 4261 samples/s | |
INFO - 03/21/18 14:47:35 - 0:03:46 - 388000 - Discriminator loss: 0.4426 - 4864 samples/s | |
INFO - 03/21/18 14:47:36 - 0:03:48 - 392000 - Discriminator loss: 0.4447 - 4496 samples/s | |
INFO - 03/21/18 14:47:38 - 0:03:50 - 396000 - Discriminator loss: 0.4459 - 5059 samples/s | |
INFO - 03/21/18 14:47:40 - 0:03:51 - 400000 - Discriminator loss: 0.4469 - 5101 samples/s | |
INFO - 03/21/18 14:47:41 - 0:03:53 - 404000 - Discriminator loss: 0.4516 - 4766 samples/s | |
INFO - 03/21/18 14:47:43 - 0:03:55 - 408000 - Discriminator loss: 0.4486 - 4874 samples/s | |
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INFO - 03/21/18 14:47:51 - 0:04:03 - 428000 - Discriminator loss: 0.4441 - 5369 samples/s | |
INFO - 03/21/18 14:47:53 - 0:04:04 - 432000 - Discriminator loss: 0.4446 - 4825 samples/s | |
INFO - 03/21/18 14:47:54 - 0:04:06 - 436000 - Discriminator loss: 0.4439 - 5275 samples/s | |
INFO - 03/21/18 14:47:56 - 0:04:07 - 440000 - Discriminator loss: 0.4453 - 5063 samples/s | |
INFO - 03/21/18 14:47:58 - 0:04:09 - 444000 - Discriminator loss: 0.4430 - 3946 samples/s | |
INFO - 03/21/18 14:47:59 - 0:04:11 - 448000 - Discriminator loss: 0.4443 - 4696 samples/s | |
INFO - 03/21/18 14:48:01 - 0:04:13 - 452000 - Discriminator loss: 0.4410 - 5365 samples/s | |
INFO - 03/21/18 14:48:03 - 0:04:14 - 456000 - Discriminator loss: 0.4424 - 4994 samples/s | |
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INFO - 03/21/18 14:48:10 - 0:04:21 - 472000 - Discriminator loss: 0.4374 - 4616 samples/s | |
INFO - 03/21/18 14:48:11 - 0:04:23 - 476000 - Discriminator loss: 0.4373 - 5221 samples/s | |
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INFO - 03/21/18 14:48:14 - 0:04:26 - 484000 - Discriminator loss: 0.4346 - 5154 samples/s | |
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INFO - 03/21/18 14:48:17 - 0:04:29 - 492000 - Discriminator loss: 0.4340 - 5271 samples/s | |
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INFO - 03/21/18 14:48:21 - 0:04:33 - 500000 - Discriminator loss: 0.4332 - 4055 samples/s | |
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INFO - 03/21/18 14:48:24 - 0:04:36 - 508000 - Discriminator loss: 0.4351 - 4924 samples/s | |
INFO - 03/21/18 14:48:26 - 0:04:38 - 512000 - Discriminator loss: 0.4292 - 5013 samples/s | |
INFO - 03/21/18 14:48:27 - 0:04:39 - 516000 - Discriminator loss: 0.4323 - 5129 samples/s | |
INFO - 03/21/18 14:48:29 - 0:04:41 - 520000 - Discriminator loss: 0.4287 - 4757 samples/s | |
INFO - 03/21/18 14:48:31 - 0:04:42 - 524000 - Discriminator loss: 0.4299 - 4869 samples/s | |
INFO - 03/21/18 14:48:32 - 0:04:44 - 528000 - Discriminator loss: 0.4283 - 5204 samples/s | |
INFO - 03/21/18 14:48:34 - 0:04:45 - 532000 - Discriminator loss: 0.4270 - 5325 samples/s | |
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INFO - 03/21/18 14:48:37 - 0:04:49 - 540000 - Discriminator loss: 0.4266 - 5317 samples/s | |
INFO - 03/21/18 14:48:39 - 0:04:50 - 544000 - Discriminator loss: 0.4281 - 4902 samples/s | |
INFO - 03/21/18 14:48:40 - 0:04:52 - 548000 - Discriminator loss: 0.4257 - 5121 samples/s | |
INFO - 03/21/18 14:48:42 - 0:04:54 - 552000 - Discriminator loss: 0.4277 - 4672 samples/s | |
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INFO - 03/21/18 14:49:12 - 0:05:24 - 628000 - Discriminator loss: 0.4151 - 4809 samples/s | |
INFO - 03/21/18 14:49:14 - 0:05:26 - 632000 - Discriminator loss: 0.4137 - 4838 samples/s | |
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INFO - 03/21/18 14:49:39 - 0:05:51 - 696000 - Discriminator loss: 0.4061 - 5403 samples/s | |
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INFO - 03/21/18 14:49:44 - 0:05:56 - 708000 - Discriminator loss: 0.4027 - 5116 samples/s | |
INFO - 03/21/18 14:49:46 - 0:05:58 - 712000 - Discriminator loss: 0.4012 - 5162 samples/s | |
INFO - 03/21/18 14:49:47 - 0:05:59 - 716000 - Discriminator loss: 0.3994 - 5604 samples/s | |
INFO - 03/21/18 14:49:49 - 0:06:01 - 720000 - Discriminator loss: 0.3994 - 4836 samples/s | |
INFO - 03/21/18 14:49:51 - 0:06:02 - 724000 - Discriminator loss: 0.4002 - 5299 samples/s | |
INFO - 03/21/18 14:49:52 - 0:06:04 - 728000 - Discriminator loss: 0.3978 - 5323 samples/s | |
INFO - 03/21/18 14:49:53 - 0:06:05 - 732000 - Discriminator loss: 0.3984 - 5617 samples/s | |
INFO - 03/21/18 14:49:55 - 0:06:07 - 736000 - Discriminator loss: 0.3983 - 4619 samples/s | |
INFO - 03/21/18 14:49:57 - 0:06:09 - 740000 - Discriminator loss: 0.3985 - 4817 samples/s | |
INFO - 03/21/18 14:49:59 - 0:06:10 - 744000 - Discriminator loss: 0.3984 - 4855 samples/s | |
INFO - 03/21/18 14:50:00 - 0:06:12 - 748000 - Discriminator loss: 0.3979 - 5001 samples/s | |
INFO - 03/21/18 14:50:02 - 0:06:13 - 752000 - Discriminator loss: 0.3981 - 4822 samples/s | |
INFO - 03/21/18 14:50:03 - 0:06:15 - 756000 - Discriminator loss: 0.3962 - 5170 samples/s | |
INFO - 03/21/18 14:50:05 - 0:06:16 - 760000 - Discriminator loss: 0.3966 - 5580 samples/s | |
INFO - 03/21/18 14:50:06 - 0:06:18 - 764000 - Discriminator loss: 0.3962 - 5321 samples/s | |
INFO - 03/21/18 14:50:08 - 0:06:20 - 768000 - Discriminator loss: 0.3975 - 4176 samples/s | |
INFO - 03/21/18 14:50:10 - 0:06:21 - 772000 - Discriminator loss: 0.3954 - 4939 samples/s | |
INFO - 03/21/18 14:50:11 - 0:06:23 - 776000 - Discriminator loss: 0.3959 - 5348 samples/s | |
INFO - 03/21/18 14:50:13 - 0:06:24 - 780000 - Discriminator loss: 0.3961 - 5453 samples/s | |
INFO - 03/21/18 14:50:14 - 0:06:26 - 784000 - Discriminator loss: 0.3957 - 5515 samples/s | |
INFO - 03/21/18 14:50:16 - 0:06:28 - 788000 - Discriminator loss: 0.3953 - 4800 samples/s | |
INFO - 03/21/18 14:50:18 - 0:06:29 - 792000 - Discriminator loss: 0.3931 - 4702 samples/s | |
INFO - 03/21/18 14:50:19 - 0:06:31 - 796000 - Discriminator loss: 0.3923 - 4503 samples/s | |
INFO - 03/21/18 14:50:21 - 0:06:33 - 800000 - Discriminator loss: 0.3921 - 5484 samples/s | |
INFO - 03/21/18 14:50:22 - 0:06:34 - 804000 - Discriminator loss: 0.3917 - 5384 samples/s | |
INFO - 03/21/18 14:50:24 - 0:06:36 - 808000 - Discriminator loss: 0.3915 - 5392 samples/s | |
INFO - 03/21/18 14:50:25 - 0:06:37 - 812000 - Discriminator loss: 0.3913 - 5103 samples/s | |
INFO - 03/21/18 14:50:27 - 0:06:39 - 816000 - Discriminator loss: 0.3943 - 5315 samples/s | |
INFO - 03/21/18 14:50:28 - 0:06:40 - 820000 - Discriminator loss: 0.3936 - 5485 samples/s | |
INFO - 03/21/18 14:50:30 - 0:06:42 - 824000 - Discriminator loss: 0.3939 - 4745 samples/s | |
INFO - 03/21/18 14:50:32 - 0:06:44 - 828000 - Discriminator loss: 0.3943 - 4366 samples/s | |
INFO - 03/21/18 14:50:34 - 0:06:45 - 832000 - Discriminator loss: 0.3950 - 4696 samples/s | |
INFO - 03/21/18 14:50:35 - 0:06:47 - 836000 - Discriminator loss: 0.3945 - 4805 samples/s | |
INFO - 03/21/18 14:50:37 - 0:06:49 - 840000 - Discriminator loss: 0.3939 - 4642 samples/s | |
INFO - 03/21/18 14:50:39 - 0:06:50 - 844000 - Discriminator loss: 0.3940 - 5021 samples/s | |
INFO - 03/21/18 14:50:40 - 0:06:52 - 848000 - Discriminator loss: 0.3933 - 5480 samples/s | |
INFO - 03/21/18 14:50:42 - 0:06:53 - 852000 - Discriminator loss: 0.3945 - 5334 samples/s | |
INFO - 03/21/18 14:50:43 - 0:06:55 - 856000 - Discriminator loss: 0.3930 - 4939 samples/s | |
INFO - 03/21/18 14:50:45 - 0:06:57 - 860000 - Discriminator loss: 0.3925 - 3937 samples/s | |
INFO - 03/21/18 14:50:47 - 0:06:58 - 864000 - Discriminator loss: 0.3909 - 5096 samples/s | |
INFO - 03/21/18 14:50:48 - 0:07:00 - 868000 - Discriminator loss: 0.3918 - 5507 samples/s | |
INFO - 03/21/18 14:50:50 - 0:07:01 - 872000 - Discriminator loss: 0.3920 - 5183 samples/s | |
INFO - 03/21/18 14:50:52 - 0:07:03 - 876000 - Discriminator loss: 0.3912 - 4349 samples/s | |
INFO - 03/21/18 14:50:54 - 0:07:05 - 880000 - Discriminator loss: 0.3900 - 4107 samples/s | |
INFO - 03/21/18 14:50:55 - 0:07:07 - 884000 - Discriminator loss: 0.3890 - 5006 samples/s | |
INFO - 03/21/18 14:50:57 - 0:07:08 - 888000 - Discriminator loss: 0.3901 - 5001 samples/s | |
INFO - 03/21/18 14:50:58 - 0:07:10 - 892000 - Discriminator loss: 0.3876 - 5029 samples/s | |
INFO - 03/21/18 14:51:00 - 0:07:12 - 896000 - Discriminator loss: 0.3892 - 5247 samples/s | |
INFO - 03/21/18 14:51:01 - 0:07:13 - 900000 - Discriminator loss: 0.3868 - 5216 samples/s | |
INFO - 03/21/18 14:51:03 - 0:07:15 - 904000 - Discriminator loss: 0.3878 - 5417 samples/s | |
INFO - 03/21/18 14:51:04 - 0:07:16 - 908000 - Discriminator loss: 0.3868 - 4993 samples/s | |
INFO - 03/21/18 14:51:06 - 0:07:18 - 912000 - Discriminator loss: 0.3851 - 4058 samples/s | |
INFO - 03/21/18 14:51:08 - 0:07:20 - 916000 - Discriminator loss: 0.3865 - 5616 samples/s | |
INFO - 03/21/18 14:51:09 - 0:07:21 - 920000 - Discriminator loss: 0.3851 - 5295 samples/s | |
INFO - 03/21/18 14:51:11 - 0:07:23 - 924000 - Discriminator loss: 0.3872 - 5188 samples/s | |
INFO - 03/21/18 14:51:13 - 0:07:24 - 928000 - Discriminator loss: 0.3870 - 4736 samples/s | |
INFO - 03/21/18 14:51:14 - 0:07:26 - 932000 - Discriminator loss: 0.3861 - 4889 samples/s | |
INFO - 03/21/18 14:51:16 - 0:07:28 - 936000 - Discriminator loss: 0.3856 - 4979 samples/s | |
INFO - 03/21/18 14:51:17 - 0:07:29 - 940000 - Discriminator loss: 0.3856 - 5429 samples/s | |
INFO - 03/21/18 14:51:19 - 0:07:31 - 944000 - Discriminator loss: 0.3856 - 5316 samples/s | |
INFO - 03/21/18 14:51:20 - 0:07:32 - 948000 - Discriminator loss: 0.3835 - 5340 samples/s | |
INFO - 03/21/18 14:51:22 - 0:07:33 - 952000 - Discriminator loss: 0.3851 - 5408 samples/s | |
INFO - 03/21/18 14:51:23 - 0:07:35 - 956000 - Discriminator loss: 0.3862 - 5247 samples/s | |
INFO - 03/21/18 14:51:25 - 0:07:37 - 960000 - Discriminator loss: 0.3855 - 5016 samples/s | |
INFO - 03/21/18 14:51:26 - 0:07:38 - 964000 - Discriminator loss: 0.3845 - 5307 samples/s | |
INFO - 03/21/18 14:51:28 - 0:07:40 - 968000 - Discriminator loss: 0.3856 - 4395 samples/s | |
INFO - 03/21/18 14:51:30 - 0:07:42 - 972000 - Discriminator loss: 0.3849 - 4676 samples/s | |
INFO - 03/21/18 14:51:32 - 0:07:43 - 976000 - Discriminator loss: 0.3844 - 4900 samples/s | |
INFO - 03/21/18 14:51:33 - 0:07:45 - 980000 - Discriminator loss: 0.3838 - 5139 samples/s | |
INFO - 03/21/18 14:51:35 - 0:07:47 - 984000 - Discriminator loss: 0.3837 - 4757 samples/s | |
INFO - 03/21/18 14:51:36 - 0:07:48 - 988000 - Discriminator loss: 0.3832 - 5302 samples/s | |
INFO - 03/21/18 14:51:38 - 0:07:50 - 992000 - Discriminator loss: 0.3813 - 4460 samples/s | |
INFO - 03/21/18 14:51:40 - 0:07:52 - 996000 - Discriminator loss: 0.3823 - 4184 samples/s | |
INFO - 03/21/18 14:51:42 - 0:07:53 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:53 - Dataset Found Not found Rho | |
INFO - 03/21/18 14:51:42 - 0:07:53 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_GUR350 268 82 0.6882 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_GUR65 64 1 0.8090 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_SIMLEX-999 956 43 0.3966 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_WS-353 342 8 0.6607 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_ZG222 154 68 0.3924 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - DE_SEMEVAL17 372 74 0.7272 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:54 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:54 - Dataset Found Not found Rho | |
INFO - 03/21/18 14:51:42 - 0:07:54 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_MC-30 30 0 0.8123 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_MTurk-287 286 1 0.6773 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_RG-65 65 0 0.7974 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_VERB-143 144 0 0.3973 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_WS-353-REL 252 0 0.6820 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_YP-130 130 0 0.5333 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_MEN-TR-3k 3000 0 0.7637 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_MTurk-771 771 0 0.6689 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_RW-STANFORD 1323 711 0.5080 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_SIMLEX-999 998 1 0.3823 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_WS-353-ALL 353 0 0.7388 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_WS-353-SIM 203 0 0.7811 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - EN_SEMEVAL17 379 9 0.7216 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - ==================================================================== | |
INFO - 03/21/18 14:51:42 - 0:07:54 - Monolingual source word similarity score average: 0.61237 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - Monolingual target word similarity score average: 0.65108 | |
INFO - 03/21/18 14:51:42 - 0:07:54 - Monolingual word similarity score average: 0.63173 | |
INFO - 03/21/18 14:51:43 - 0:07:55 - ==================================================================== | |
INFO - 03/21/18 14:51:43 - 0:07:55 - Dataset Found Not found Rho | |
INFO - 03/21/18 14:51:43 - 0:07:55 - ==================================================================== | |
INFO - 03/21/18 14:51:43 - 0:07:55 - DE_EN_SEMEVAL17 683 72 0.6691 | |
INFO - 03/21/18 14:51:43 - 0:07:55 - ==================================================================== | |
INFO - 03/21/18 14:51:43 - 0:07:55 - Cross-lingual word similarity score average: 0.66908 | |
INFO - 03/21/18 14:51:43 - 0:07:55 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 14:51:44 - 0:07:55 - 1500 source words - nn - Precision at k = 1: 45.933333 | |
INFO - 03/21/18 14:51:44 - 0:07:55 - 1500 source words - nn - Precision at k = 5: 62.000000 | |
INFO - 03/21/18 14:51:44 - 0:07:55 - 1500 source words - nn - Precision at k = 10: 67.133333 | |
INFO - 03/21/18 14:51:44 - 0:07:55 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 15:03:53 - 0:20:05 - 1500 source words - csls_knn_10 - Precision at k = 1: 53.866667 | |
INFO - 03/21/18 15:03:53 - 0:20:05 - 1500 source words - csls_knn_10 - Precision at k = 5: 68.466667 | |
INFO - 03/21/18 15:03:53 - 0:20:05 - 1500 source words - csls_knn_10 - Precision at k = 10: 72.933333 | |
INFO - 03/21/18 15:03:59 - 0:20:11 - Building the train dictionary ... | |
INFO - 03/21/18 15:03:59 - 0:20:11 - New train dictionary of 5672 pairs. | |
INFO - 03/21/18 15:03:59 - 0:20:11 - Mean cosine (nn method, S2T build, 10000 max size): 0.60967 | |
INFO - 03/21/18 15:30:30 - 0:46:41 - Building the train dictionary ... | |
INFO - 03/21/18 15:30:30 - 0:46:41 - New train dictionary of 6066 pairs. | |
INFO - 03/21/18 15:30:30 - 0:46:41 - Mean cosine (csls_knn_10 method, S2T build, 10000 max size): 0.59839 | |
INFO - 03/21/18 15:30:31 - 0:46:43 - Discriminator source / target predictions: 0.81601 / 0.24498 | |
INFO - 03/21/18 15:30:31 - 0:46:43 - Discriminator source / target / global accuracy: 0.96304 / 0.84050 / 0.90177 | |
INFO - 03/21/18 15:30:32 - 0:46:43 - __log__:{"n_epoch": 0, "src_ws_monolingual_scores": 0.6123675490031756, "src_DE_GUR350": 0.6882090814841444, "src_DE_GUR65": 0.8090069025344577, "src_DE_SIMLEX-999": 0.39663510092380455, "src_DE_WS-353": 0.6607456708653445, "src_DE_ZG222": 0.3924438380453158, "src_DE_SEMEVAL17": 0.7271647001659861, "tgt_ws_monolingual_scores": 0.6510844458154897, "tgt_EN_MC-30": 0.8122844560731877, "tgt_EN_MTurk-287": 0.6773484753662096, "tgt_EN_RG-65": 0.7974341920962535, "tgt_EN_VERB-143": 0.39730727587681697, "tgt_EN_WS-353-REL": 0.6820189571624744, "tgt_EN_YP-130": 0.5332791408572926, "tgt_EN_MEN-TR-3k": 0.7636758268962788, "tgt_EN_MTurk-771": 0.6689253094490287, "tgt_EN_RW-STANFORD": 0.5080076589673553, "tgt_EN_SIMLEX-999": 0.3822891920029773, "tgt_EN_WS-353-ALL": 0.7388081960366618, "tgt_EN_WS-353-SIM": 0.7811195898733946, "tgt_EN_SEMEVAL17": 0.7215995249434355, "ws_monolingual_scores": 0.6317259974093327, "ws_crosslingual_scores": 0.6690844634449808, "src_tgt_DE_EN_SEMEVAL17": 0.6690844634449808, "precision_at_1-nn": 45.93333333333333, "precision_at_5-nn": 62.0, "precision_at_10-nn": 67.13333333333334, "precision_at_1-csls_knn_10": 53.86666666666666, "precision_at_5-csls_knn_10": 68.46666666666667, "precision_at_10-csls_knn_10": 72.93333333333332, "mean_cosine-nn-S2T-10000": 0.6096667647361755, "mean_cosine-csls_knn_10-S2T-10000": 0.5983935594558716, "dis_accu": 0.9017725, "dis_src_pred": 0.8160087970842608, "dis_tgt_pred": 0.2449812952298377} | |
INFO - 03/21/18 15:30:32 - 0:46:43 - * Best value for "mean_cosine-csls_knn_10-S2T-10000": 0.59839 | |
INFO - 03/21/18 15:30:32 - 0:46:43 - * Saving the mapping to dumped/de-en-unsup/best_mapping.t7 ... | |
INFO - 03/21/18 15:30:32 - 0:46:43 - End of epoch 0. | |
INFO - 03/21/18 15:30:32 - 0:46:43 - Decreasing learning rate: 0.10000000 -> 0.09800000 | |
INFO - 03/21/18 15:30:32 - 0:46:43 - Starting adversarial training epoch 1... | |
INFO - 03/21/18 15:30:32 - 0:46:43 - 000000 - Discriminator loss: 0.3749 - 4578 samples/s | |
INFO - 03/21/18 15:30:33 - 0:46:45 - 004000 - Discriminator loss: 0.3829 - 5207 samples/s | |
INFO - 03/21/18 15:30:35 - 0:46:46 - 008000 - Discriminator loss: 0.3820 - 5090 samples/s | |
INFO - 03/21/18 15:30:36 - 0:46:48 - 012000 - Discriminator loss: 0.3823 - 5164 samples/s | |
INFO - 03/21/18 15:30:38 - 0:46:49 - 016000 - Discriminator loss: 0.3815 - 5549 samples/s | |
INFO - 03/21/18 15:30:39 - 0:46:51 - 020000 - Discriminator loss: 0.3807 - 5265 samples/s | |
INFO - 03/21/18 15:30:41 - 0:46:52 - 024000 - Discriminator loss: 0.3817 - 5665 samples/s | |
INFO - 03/21/18 15:30:42 - 0:46:54 - 028000 - Discriminator loss: 0.3799 - 5086 samples/s | |
INFO - 03/21/18 15:30:44 - 0:46:56 - 032000 - Discriminator loss: 0.3814 - 3961 samples/s | |
INFO - 03/21/18 15:30:46 - 0:46:57 - 036000 - Discriminator loss: 0.3792 - 5406 samples/s | |
INFO - 03/21/18 15:30:47 - 0:46:59 - 040000 - Discriminator loss: 0.3793 - 5211 samples/s | |
INFO - 03/21/18 15:30:49 - 0:47:01 - 044000 - Discriminator loss: 0.3790 - 4474 samples/s | |
INFO - 03/21/18 15:30:51 - 0:47:02 - 048000 - Discriminator loss: 0.3789 - 4944 samples/s | |
INFO - 03/21/18 15:30:52 - 0:47:04 - 052000 - Discriminator loss: 0.3793 - 4954 samples/s | |
INFO - 03/21/18 15:30:54 - 0:47:05 - 056000 - Discriminator loss: 0.3797 - 5440 samples/s | |
INFO - 03/21/18 15:30:55 - 0:47:07 - 060000 - Discriminator loss: 0.3791 - 5474 samples/s | |
INFO - 03/21/18 15:30:57 - 0:47:09 - 064000 - Discriminator loss: 0.3777 - 4384 samples/s | |
INFO - 03/21/18 15:30:59 - 0:47:10 - 068000 - Discriminator loss: 0.3775 - 5255 samples/s | |
INFO - 03/21/18 15:31:00 - 0:47:12 - 072000 - Discriminator loss: 0.3770 - 5347 samples/s | |
INFO - 03/21/18 15:31:02 - 0:47:13 - 076000 - Discriminator loss: 0.3777 - 5456 samples/s | |
INFO - 03/21/18 15:31:03 - 0:47:15 - 080000 - Discriminator loss: 0.3772 - 4865 samples/s | |
INFO - 03/21/18 15:31:05 - 0:47:16 - 084000 - Discriminator loss: 0.3757 - 5123 samples/s | |
INFO - 03/21/18 15:31:06 - 0:47:18 - 088000 - Discriminator loss: 0.3756 - 4873 samples/s | |
INFO - 03/21/18 15:31:08 - 0:47:20 - 092000 - Discriminator loss: 0.3761 - 5158 samples/s | |
INFO - 03/21/18 15:31:10 - 0:47:21 - 096000 - Discriminator loss: 0.3764 - 5047 samples/s | |
INFO - 03/21/18 15:31:11 - 0:47:23 - 100000 - Discriminator loss: 0.3760 - 4665 samples/s | |
INFO - 03/21/18 15:31:13 - 0:47:24 - 104000 - Discriminator loss: 0.3761 - 5117 samples/s | |
INFO - 03/21/18 15:31:14 - 0:47:26 - 108000 - Discriminator loss: 0.3746 - 5395 samples/s | |
INFO - 03/21/18 15:31:16 - 0:47:27 - 112000 - Discriminator loss: 0.3754 - 5212 samples/s | |
INFO - 03/21/18 15:31:17 - 0:47:29 - 116000 - Discriminator loss: 0.3761 - 4966 samples/s | |
INFO - 03/21/18 15:31:19 - 0:47:31 - 120000 - Discriminator loss: 0.3763 - 5228 samples/s | |
INFO - 03/21/18 15:31:20 - 0:47:32 - 124000 - Discriminator loss: 0.3773 - 5500 samples/s | |
INFO - 03/21/18 15:31:22 - 0:47:34 - 128000 - Discriminator loss: 0.3762 - 4952 samples/s | |
INFO - 03/21/18 15:31:24 - 0:47:35 - 132000 - Discriminator loss: 0.3775 - 4691 samples/s | |
INFO - 03/21/18 15:31:25 - 0:47:37 - 136000 - Discriminator loss: 0.3777 - 5018 samples/s | |
INFO - 03/21/18 15:31:27 - 0:47:39 - 140000 - Discriminator loss: 0.3773 - 5224 samples/s | |
INFO - 03/21/18 15:31:28 - 0:47:40 - 144000 - Discriminator loss: 0.3795 - 5226 samples/s | |
INFO - 03/21/18 15:31:30 - 0:47:42 - 148000 - Discriminator loss: 0.3815 - 5330 samples/s | |
INFO - 03/21/18 15:31:32 - 0:47:43 - 152000 - Discriminator loss: 0.3824 - 4806 samples/s | |
INFO - 03/21/18 15:31:33 - 0:47:45 - 156000 - Discriminator loss: 0.3843 - 5016 samples/s | |
INFO - 03/21/18 15:31:35 - 0:47:46 - 160000 - Discriminator loss: 0.3842 - 5069 samples/s | |
INFO - 03/21/18 15:31:37 - 0:47:48 - 164000 - Discriminator loss: 0.3825 - 4468 samples/s | |
INFO - 03/21/18 15:31:38 - 0:47:50 - 168000 - Discriminator loss: 0.3841 - 5616 samples/s | |
INFO - 03/21/18 15:31:40 - 0:47:51 - 172000 - Discriminator loss: 0.3831 - 5005 samples/s | |
INFO - 03/21/18 15:31:41 - 0:47:53 - 176000 - Discriminator loss: 0.3824 - 5228 samples/s | |
INFO - 03/21/18 15:31:43 - 0:47:54 - 180000 - Discriminator loss: 0.3828 - 5341 samples/s | |
INFO - 03/21/18 15:31:44 - 0:47:56 - 184000 - Discriminator loss: 0.3824 - 5088 samples/s | |
INFO - 03/21/18 15:31:46 - 0:47:57 - 188000 - Discriminator loss: 0.3818 - 5202 samples/s | |
INFO - 03/21/18 15:31:47 - 0:47:59 - 192000 - Discriminator loss: 0.3817 - 5043 samples/s | |
INFO - 03/21/18 15:31:49 - 0:48:00 - 196000 - Discriminator loss: 0.3821 - 5585 samples/s | |
INFO - 03/21/18 15:31:50 - 0:48:02 - 200000 - Discriminator loss: 0.3819 - 4937 samples/s | |
INFO - 03/21/18 15:31:52 - 0:48:04 - 204000 - Discriminator loss: 0.3805 - 5022 samples/s | |
INFO - 03/21/18 15:31:53 - 0:48:05 - 208000 - Discriminator loss: 0.3788 - 5095 samples/s | |
INFO - 03/21/18 15:31:55 - 0:48:07 - 212000 - Discriminator loss: 0.3798 - 4793 samples/s | |
INFO - 03/21/18 15:31:57 - 0:48:08 - 216000 - Discriminator loss: 0.3782 - 4886 samples/s | |
INFO - 03/21/18 15:31:58 - 0:48:10 - 220000 - Discriminator loss: 0.3787 - 4788 samples/s | |
INFO - 03/21/18 15:32:00 - 0:48:12 - 224000 - Discriminator loss: 0.3785 - 4457 samples/s | |
INFO - 03/21/18 15:32:02 - 0:48:13 - 228000 - Discriminator loss: 0.3779 - 5533 samples/s | |
INFO - 03/21/18 15:32:03 - 0:48:15 - 232000 - Discriminator loss: 0.3769 - 4875 samples/s | |
INFO - 03/21/18 15:32:05 - 0:48:17 - 236000 - Discriminator loss: 0.3780 - 5188 samples/s | |
INFO - 03/21/18 15:32:06 - 0:48:18 - 240000 - Discriminator loss: 0.3766 - 5055 samples/s | |
INFO - 03/21/18 15:32:08 - 0:48:20 - 244000 - Discriminator loss: 0.3779 - 4960 samples/s | |
INFO - 03/21/18 15:32:10 - 0:48:21 - 248000 - Discriminator loss: 0.3769 - 4863 samples/s | |
INFO - 03/21/18 15:32:11 - 0:48:23 - 252000 - Discriminator loss: 0.3755 - 5225 samples/s | |
INFO - 03/21/18 15:32:13 - 0:48:24 - 256000 - Discriminator loss: 0.3757 - 5200 samples/s | |
INFO - 03/21/18 15:32:14 - 0:48:26 - 260000 - Discriminator loss: 0.3747 - 5215 samples/s | |
INFO - 03/21/18 15:32:16 - 0:48:27 - 264000 - Discriminator loss: 0.3743 - 5460 samples/s | |
INFO - 03/21/18 15:32:17 - 0:48:29 - 268000 - Discriminator loss: 0.3738 - 4870 samples/s | |
INFO - 03/21/18 15:32:19 - 0:48:31 - 272000 - Discriminator loss: 0.3732 - 5201 samples/s | |
INFO - 03/21/18 15:32:20 - 0:48:32 - 276000 - Discriminator loss: 0.3745 - 5331 samples/s | |
INFO - 03/21/18 15:32:22 - 0:48:34 - 280000 - Discriminator loss: 0.3732 - 4892 samples/s | |
INFO - 03/21/18 15:32:24 - 0:48:35 - 284000 - Discriminator loss: 0.3734 - 4939 samples/s | |
INFO - 03/21/18 15:32:25 - 0:48:37 - 288000 - Discriminator loss: 0.3733 - 5262 samples/s | |
INFO - 03/21/18 15:32:27 - 0:48:39 - 292000 - Discriminator loss: 0.3726 - 5007 samples/s | |
INFO - 03/21/18 15:32:28 - 0:48:40 - 296000 - Discriminator loss: 0.3723 - 4998 samples/s | |
INFO - 03/21/18 15:32:30 - 0:48:42 - 300000 - Discriminator loss: 0.3714 - 4877 samples/s | |
INFO - 03/21/18 15:32:32 - 0:48:44 - 304000 - Discriminator loss: 0.3712 - 4610 samples/s | |
INFO - 03/21/18 15:32:34 - 0:48:45 - 308000 - Discriminator loss: 0.3708 - 5038 samples/s | |
INFO - 03/21/18 15:32:35 - 0:48:47 - 312000 - Discriminator loss: 0.3714 - 4546 samples/s | |
INFO - 03/21/18 15:32:37 - 0:48:48 - 316000 - Discriminator loss: 0.3704 - 5367 samples/s | |
INFO - 03/21/18 15:32:38 - 0:48:50 - 320000 - Discriminator loss: 0.3711 - 5264 samples/s | |
INFO - 03/21/18 15:32:40 - 0:48:51 - 324000 - Discriminator loss: 0.3702 - 5432 samples/s | |
INFO - 03/21/18 15:32:42 - 0:48:53 - 328000 - Discriminator loss: 0.3703 - 4546 samples/s | |
INFO - 03/21/18 15:32:43 - 0:48:55 - 332000 - Discriminator loss: 0.3702 - 5559 samples/s | |
INFO - 03/21/18 15:32:44 - 0:48:56 - 336000 - Discriminator loss: 0.3686 - 5452 samples/s | |
INFO - 03/21/18 15:32:46 - 0:48:58 - 340000 - Discriminator loss: 0.3704 - 4955 samples/s | |
INFO - 03/21/18 15:32:48 - 0:48:59 - 344000 - Discriminator loss: 0.3707 - 4670 samples/s | |
INFO - 03/21/18 15:32:49 - 0:49:01 - 348000 - Discriminator loss: 0.3683 - 5206 samples/s | |
INFO - 03/21/18 15:32:51 - 0:49:03 - 352000 - Discriminator loss: 0.3692 - 5229 samples/s | |
INFO - 03/21/18 15:32:52 - 0:49:04 - 356000 - Discriminator loss: 0.3677 - 4874 samples/s | |
INFO - 03/21/18 15:32:54 - 0:49:06 - 360000 - Discriminator loss: 0.3694 - 5001 samples/s | |
INFO - 03/21/18 15:32:56 - 0:49:07 - 364000 - Discriminator loss: 0.3685 - 5308 samples/s | |
INFO - 03/21/18 15:32:57 - 0:49:09 - 368000 - Discriminator loss: 0.3684 - 5379 samples/s | |
INFO - 03/21/18 15:32:59 - 0:49:10 - 372000 - Discriminator loss: 0.3691 - 4979 samples/s | |
INFO - 03/21/18 15:33:00 - 0:49:12 - 376000 - Discriminator loss: 0.3686 - 5156 samples/s | |
INFO - 03/21/18 15:33:02 - 0:49:14 - 380000 - Discriminator loss: 0.3688 - 4656 samples/s | |
INFO - 03/21/18 15:33:03 - 0:49:15 - 384000 - Discriminator loss: 0.3681 - 5368 samples/s | |
INFO - 03/21/18 15:33:05 - 0:49:17 - 388000 - Discriminator loss: 0.3683 - 4342 samples/s | |
INFO - 03/21/18 15:33:07 - 0:49:19 - 392000 - Discriminator loss: 0.3686 - 5158 samples/s | |
INFO - 03/21/18 15:33:08 - 0:49:20 - 396000 - Discriminator loss: 0.3676 - 4946 samples/s | |
INFO - 03/21/18 15:33:10 - 0:49:22 - 400000 - Discriminator loss: 0.3681 - 4859 samples/s | |
INFO - 03/21/18 15:33:12 - 0:49:23 - 404000 - Discriminator loss: 0.3676 - 4995 samples/s | |
INFO - 03/21/18 15:33:13 - 0:49:25 - 408000 - Discriminator loss: 0.3690 - 4551 samples/s | |
INFO - 03/21/18 15:33:15 - 0:49:27 - 412000 - Discriminator loss: 0.3699 - 5139 samples/s | |
INFO - 03/21/18 15:33:17 - 0:49:28 - 416000 - Discriminator loss: 0.3690 - 5305 samples/s | |
INFO - 03/21/18 15:33:18 - 0:49:30 - 420000 - Discriminator loss: 0.3696 - 5367 samples/s | |
INFO - 03/21/18 15:33:19 - 0:49:31 - 424000 - Discriminator loss: 0.3695 - 5344 samples/s | |
INFO - 03/21/18 15:33:21 - 0:49:33 - 428000 - Discriminator loss: 0.3697 - 4738 samples/s | |
INFO - 03/21/18 15:33:23 - 0:49:34 - 432000 - Discriminator loss: 0.3716 - 5021 samples/s | |
INFO - 03/21/18 15:33:25 - 0:49:36 - 436000 - Discriminator loss: 0.3696 - 4539 samples/s | |
INFO - 03/21/18 15:33:26 - 0:49:38 - 440000 - Discriminator loss: 0.3708 - 5328 samples/s | |
INFO - 03/21/18 15:33:28 - 0:49:39 - 444000 - Discriminator loss: 0.3695 - 4997 samples/s | |
INFO - 03/21/18 15:33:29 - 0:49:41 - 448000 - Discriminator loss: 0.3714 - 5205 samples/s | |
INFO - 03/21/18 15:33:31 - 0:49:42 - 452000 - Discriminator loss: 0.3713 - 5716 samples/s | |
INFO - 03/21/18 15:33:32 - 0:49:44 - 456000 - Discriminator loss: 0.3705 - 5341 samples/s | |
INFO - 03/21/18 15:33:34 - 0:49:45 - 460000 - Discriminator loss: 0.3705 - 5155 samples/s | |
INFO - 03/21/18 15:33:35 - 0:49:47 - 464000 - Discriminator loss: 0.3708 - 5223 samples/s | |
INFO - 03/21/18 15:33:37 - 0:49:48 - 468000 - Discriminator loss: 0.3728 - 5018 samples/s | |
INFO - 03/21/18 15:33:38 - 0:49:50 - 472000 - Discriminator loss: 0.3715 - 5317 samples/s | |
INFO - 03/21/18 15:33:40 - 0:49:51 - 476000 - Discriminator loss: 0.3712 - 5197 samples/s | |
INFO - 03/21/18 15:33:41 - 0:49:53 - 480000 - Discriminator loss: 0.3718 - 5244 samples/s | |
INFO - 03/21/18 15:33:43 - 0:49:55 - 484000 - Discriminator loss: 0.3710 - 4923 samples/s | |
INFO - 03/21/18 15:33:45 - 0:49:56 - 488000 - Discriminator loss: 0.3708 - 4346 samples/s | |
INFO - 03/21/18 15:33:46 - 0:49:58 - 492000 - Discriminator loss: 0.3704 - 4734 samples/s | |
INFO - 03/21/18 15:33:48 - 0:50:00 - 496000 - Discriminator loss: 0.3716 - 5255 samples/s | |
INFO - 03/21/18 15:33:49 - 0:50:01 - 500000 - Discriminator loss: 0.3716 - 5560 samples/s | |
INFO - 03/21/18 15:33:51 - 0:50:03 - 504000 - Discriminator loss: 0.3724 - 5538 samples/s | |
INFO - 03/21/18 15:33:52 - 0:50:04 - 508000 - Discriminator loss: 0.3714 - 5081 samples/s | |
INFO - 03/21/18 15:33:54 - 0:50:06 - 512000 - Discriminator loss: 0.3713 - 5218 samples/s | |
INFO - 03/21/18 15:33:56 - 0:50:07 - 516000 - Discriminator loss: 0.3718 - 4742 samples/s | |
INFO - 03/21/18 15:33:57 - 0:50:09 - 520000 - Discriminator loss: 0.3718 - 5454 samples/s | |
INFO - 03/21/18 15:33:59 - 0:50:10 - 524000 - Discriminator loss: 0.3729 - 5103 samples/s | |
INFO - 03/21/18 15:34:00 - 0:50:12 - 528000 - Discriminator loss: 0.3712 - 4880 samples/s | |
INFO - 03/21/18 15:34:02 - 0:50:14 - 532000 - Discriminator loss: 0.3722 - 5245 samples/s | |
INFO - 03/21/18 15:34:03 - 0:50:15 - 536000 - Discriminator loss: 0.3724 - 5015 samples/s | |
INFO - 03/21/18 15:34:05 - 0:50:17 - 540000 - Discriminator loss: 0.3716 - 5272 samples/s | |
INFO - 03/21/18 15:34:07 - 0:50:18 - 544000 - Discriminator loss: 0.3715 - 4801 samples/s | |
INFO - 03/21/18 15:34:08 - 0:50:20 - 548000 - Discriminator loss: 0.3713 - 5108 samples/s | |
INFO - 03/21/18 15:34:10 - 0:50:22 - 552000 - Discriminator loss: 0.3710 - 4986 samples/s | |
INFO - 03/21/18 15:34:11 - 0:50:23 - 556000 - Discriminator loss: 0.3716 - 4805 samples/s | |
INFO - 03/21/18 15:34:13 - 0:50:25 - 560000 - Discriminator loss: 0.3716 - 5097 samples/s | |
INFO - 03/21/18 15:34:15 - 0:50:26 - 564000 - Discriminator loss: 0.3709 - 5211 samples/s | |
INFO - 03/21/18 15:34:16 - 0:50:28 - 568000 - Discriminator loss: 0.3712 - 4581 samples/s | |
INFO - 03/21/18 15:34:18 - 0:50:29 - 572000 - Discriminator loss: 0.3695 - 5691 samples/s | |
INFO - 03/21/18 15:34:19 - 0:50:31 - 576000 - Discriminator loss: 0.3692 - 5126 samples/s | |
INFO - 03/21/18 15:34:21 - 0:50:33 - 580000 - Discriminator loss: 0.3693 - 4490 samples/s | |
INFO - 03/21/18 15:34:23 - 0:50:34 - 584000 - Discriminator loss: 0.3690 - 4880 samples/s | |
INFO - 03/21/18 15:34:24 - 0:50:36 - 588000 - Discriminator loss: 0.3693 - 5193 samples/s | |
INFO - 03/21/18 15:34:26 - 0:50:38 - 592000 - Discriminator loss: 0.3689 - 4874 samples/s | |
INFO - 03/21/18 15:34:28 - 0:50:40 - 596000 - Discriminator loss: 0.3685 - 4149 samples/s | |
INFO - 03/21/18 15:34:29 - 0:50:41 - 600000 - Discriminator loss: 0.3683 - 4920 samples/s | |
INFO - 03/21/18 15:34:31 - 0:50:43 - 604000 - Discriminator loss: 0.3675 - 5298 samples/s | |
INFO - 03/21/18 15:34:33 - 0:50:44 - 608000 - Discriminator loss: 0.3687 - 5041 samples/s | |
INFO - 03/21/18 15:34:34 - 0:50:46 - 612000 - Discriminator loss: 0.3680 - 4699 samples/s | |
INFO - 03/21/18 15:34:36 - 0:50:47 - 616000 - Discriminator loss: 0.3675 - 5364 samples/s | |
INFO - 03/21/18 15:34:37 - 0:50:49 - 620000 - Discriminator loss: 0.3681 - 5441 samples/s | |
INFO - 03/21/18 15:34:39 - 0:50:50 - 624000 - Discriminator loss: 0.3667 - 5290 samples/s | |
INFO - 03/21/18 15:34:40 - 0:50:52 - 628000 - Discriminator loss: 0.3677 - 4579 samples/s | |
INFO - 03/21/18 15:34:42 - 0:50:54 - 632000 - Discriminator loss: 0.3676 - 5165 samples/s | |
INFO - 03/21/18 15:34:44 - 0:50:56 - 636000 - Discriminator loss: 0.3677 - 4472 samples/s | |
INFO - 03/21/18 15:34:45 - 0:50:57 - 640000 - Discriminator loss: 0.3674 - 4888 samples/s | |
INFO - 03/21/18 15:34:47 - 0:50:59 - 644000 - Discriminator loss: 0.3678 - 5374 samples/s | |
INFO - 03/21/18 15:34:49 - 0:51:00 - 648000 - Discriminator loss: 0.3671 - 5117 samples/s | |
INFO - 03/21/18 15:34:50 - 0:51:02 - 652000 - Discriminator loss: 0.3676 - 5053 samples/s | |
INFO - 03/21/18 15:34:52 - 0:51:04 - 656000 - Discriminator loss: 0.3666 - 4625 samples/s | |
INFO - 03/21/18 15:34:53 - 0:51:05 - 660000 - Discriminator loss: 0.3665 - 5310 samples/s | |
INFO - 03/21/18 15:34:55 - 0:51:06 - 664000 - Discriminator loss: 0.3667 - 5551 samples/s | |
INFO - 03/21/18 15:34:56 - 0:51:08 - 668000 - Discriminator loss: 0.3669 - 5046 samples/s | |
INFO - 03/21/18 15:34:58 - 0:51:10 - 672000 - Discriminator loss: 0.3669 - 5406 samples/s | |
INFO - 03/21/18 15:34:59 - 0:51:11 - 676000 - Discriminator loss: 0.3665 - 4935 samples/s | |
INFO - 03/21/18 15:35:01 - 0:51:13 - 680000 - Discriminator loss: 0.3669 - 5314 samples/s | |
INFO - 03/21/18 15:35:03 - 0:51:14 - 684000 - Discriminator loss: 0.3673 - 4914 samples/s | |
INFO - 03/21/18 15:35:04 - 0:51:16 - 688000 - Discriminator loss: 0.3674 - 5422 samples/s | |
INFO - 03/21/18 15:35:06 - 0:51:17 - 692000 - Discriminator loss: 0.3681 - 5102 samples/s | |
INFO - 03/21/18 15:35:07 - 0:51:19 - 696000 - Discriminator loss: 0.3685 - 4360 samples/s | |
INFO - 03/21/18 15:35:09 - 0:51:21 - 700000 - Discriminator loss: 0.3693 - 5003 samples/s | |
INFO - 03/21/18 15:35:11 - 0:51:22 - 704000 - Discriminator loss: 0.3699 - 5210 samples/s | |
INFO - 03/21/18 15:35:12 - 0:51:24 - 708000 - Discriminator loss: 0.3711 - 5118 samples/s | |
INFO - 03/21/18 15:35:14 - 0:51:26 - 712000 - Discriminator loss: 0.3700 - 4400 samples/s | |
INFO - 03/21/18 15:35:15 - 0:51:27 - 716000 - Discriminator loss: 0.3706 - 5434 samples/s | |
INFO - 03/21/18 15:35:17 - 0:51:29 - 720000 - Discriminator loss: 0.3700 - 4942 samples/s | |
INFO - 03/21/18 15:35:19 - 0:51:30 - 724000 - Discriminator loss: 0.3712 - 5284 samples/s | |
INFO - 03/21/18 15:35:20 - 0:51:32 - 728000 - Discriminator loss: 0.3695 - 5330 samples/s | |
INFO - 03/21/18 15:35:22 - 0:51:33 - 732000 - Discriminator loss: 0.3688 - 5010 samples/s | |
INFO - 03/21/18 15:35:23 - 0:51:35 - 736000 - Discriminator loss: 0.3680 - 5174 samples/s | |
INFO - 03/21/18 15:35:25 - 0:51:37 - 740000 - Discriminator loss: 0.3688 - 4711 samples/s | |
INFO - 03/21/18 15:35:26 - 0:51:38 - 744000 - Discriminator loss: 0.3689 - 5191 samples/s | |
INFO - 03/21/18 15:35:28 - 0:51:40 - 748000 - Discriminator loss: 0.3678 - 5140 samples/s | |
INFO - 03/21/18 15:35:30 - 0:51:41 - 752000 - Discriminator loss: 0.3682 - 5253 samples/s | |
INFO - 03/21/18 15:35:31 - 0:51:43 - 756000 - Discriminator loss: 0.3675 - 4982 samples/s | |
INFO - 03/21/18 15:35:33 - 0:51:45 - 760000 - Discriminator loss: 0.3667 - 4671 samples/s | |
INFO - 03/21/18 15:35:35 - 0:51:46 - 764000 - Discriminator loss: 0.3677 - 4953 samples/s | |
INFO - 03/21/18 15:35:36 - 0:51:48 - 768000 - Discriminator loss: 0.3664 - 5205 samples/s | |
INFO - 03/21/18 15:35:38 - 0:51:50 - 772000 - Discriminator loss: 0.3666 - 4488 samples/s | |
INFO - 03/21/18 15:35:40 - 0:51:51 - 776000 - Discriminator loss: 0.3658 - 4643 samples/s | |
INFO - 03/21/18 15:35:41 - 0:51:53 - 780000 - Discriminator loss: 0.3666 - 5374 samples/s | |
INFO - 03/21/18 15:35:43 - 0:51:54 - 784000 - Discriminator loss: 0.3661 - 4845 samples/s | |
INFO - 03/21/18 15:35:44 - 0:51:56 - 788000 - Discriminator loss: 0.3656 - 4976 samples/s | |
INFO - 03/21/18 15:35:46 - 0:51:57 - 792000 - Discriminator loss: 0.3653 - 5268 samples/s | |
INFO - 03/21/18 15:35:47 - 0:51:59 - 796000 - Discriminator loss: 0.3651 - 5277 samples/s | |
INFO - 03/21/18 15:35:49 - 0:52:00 - 800000 - Discriminator loss: 0.3646 - 5433 samples/s | |
INFO - 03/21/18 15:35:50 - 0:52:02 - 804000 - Discriminator loss: 0.3651 - 5466 samples/s | |
INFO - 03/21/18 15:35:52 - 0:52:03 - 808000 - Discriminator loss: 0.3664 - 5501 samples/s | |
INFO - 03/21/18 15:35:53 - 0:52:05 - 812000 - Discriminator loss: 0.3666 - 5443 samples/s | |
INFO - 03/21/18 15:35:55 - 0:52:06 - 816000 - Discriminator loss: 0.3671 - 5034 samples/s | |
INFO - 03/21/18 15:35:56 - 0:52:08 - 820000 - Discriminator loss: 0.3684 - 5111 samples/s | |
INFO - 03/21/18 15:35:58 - 0:52:09 - 824000 - Discriminator loss: 0.3688 - 5439 samples/s | |
INFO - 03/21/18 15:35:59 - 0:52:11 - 828000 - Discriminator loss: 0.3689 - 5276 samples/s | |
INFO - 03/21/18 15:36:01 - 0:52:13 - 832000 - Discriminator loss: 0.3698 - 4752 samples/s | |
INFO - 03/21/18 15:36:03 - 0:52:14 - 836000 - Discriminator loss: 0.3698 - 4636 samples/s | |
INFO - 03/21/18 15:36:04 - 0:52:16 - 840000 - Discriminator loss: 0.3709 - 4549 samples/s | |
INFO - 03/21/18 15:36:06 - 0:52:18 - 844000 - Discriminator loss: 0.3717 - 4738 samples/s | |
INFO - 03/21/18 15:36:08 - 0:52:20 - 848000 - Discriminator loss: 0.3723 - 4860 samples/s | |
INFO - 03/21/18 15:36:10 - 0:52:21 - 852000 - Discriminator loss: 0.3716 - 4604 samples/s | |
INFO - 03/21/18 15:36:11 - 0:52:23 - 856000 - Discriminator loss: 0.3712 - 5478 samples/s | |
INFO - 03/21/18 15:36:13 - 0:52:24 - 860000 - Discriminator loss: 0.3721 - 5527 samples/s | |
INFO - 03/21/18 15:36:14 - 0:52:26 - 864000 - Discriminator loss: 0.3725 - 4703 samples/s | |
INFO - 03/21/18 15:36:16 - 0:52:27 - 868000 - Discriminator loss: 0.3723 - 5185 samples/s | |
INFO - 03/21/18 15:36:18 - 0:52:29 - 872000 - Discriminator loss: 0.3719 - 4641 samples/s | |
INFO - 03/21/18 15:36:19 - 0:52:31 - 876000 - Discriminator loss: 0.3734 - 4983 samples/s | |
INFO - 03/21/18 15:36:21 - 0:52:32 - 880000 - Discriminator loss: 0.3739 - 5455 samples/s | |
INFO - 03/21/18 15:36:22 - 0:52:34 - 884000 - Discriminator loss: 0.3740 - 5107 samples/s | |
INFO - 03/21/18 15:36:24 - 0:52:36 - 888000 - Discriminator loss: 0.3733 - 4494 samples/s | |
INFO - 03/21/18 15:36:26 - 0:52:37 - 892000 - Discriminator loss: 0.3736 - 4262 samples/s | |
INFO - 03/21/18 15:36:27 - 0:52:39 - 896000 - Discriminator loss: 0.3737 - 4780 samples/s | |
INFO - 03/21/18 15:36:29 - 0:52:41 - 900000 - Discriminator loss: 0.3725 - 4840 samples/s | |
INFO - 03/21/18 15:36:31 - 0:52:43 - 904000 - Discriminator loss: 0.3715 - 4645 samples/s | |
INFO - 03/21/18 15:36:32 - 0:52:44 - 908000 - Discriminator loss: 0.3714 - 5034 samples/s | |
INFO - 03/21/18 15:36:34 - 0:52:46 - 912000 - Discriminator loss: 0.3711 - 5197 samples/s | |
INFO - 03/21/18 15:36:36 - 0:52:47 - 916000 - Discriminator loss: 0.3701 - 5191 samples/s | |
INFO - 03/21/18 15:36:37 - 0:52:49 - 920000 - Discriminator loss: 0.3702 - 4854 samples/s | |
INFO - 03/21/18 15:36:39 - 0:52:50 - 924000 - Discriminator loss: 0.3702 - 5465 samples/s | |
INFO - 03/21/18 15:36:40 - 0:52:52 - 928000 - Discriminator loss: 0.3718 - 5317 samples/s | |
INFO - 03/21/18 15:36:42 - 0:52:54 - 932000 - Discriminator loss: 0.3713 - 4491 samples/s | |
INFO - 03/21/18 15:36:43 - 0:52:55 - 936000 - Discriminator loss: 0.3698 - 5254 samples/s | |
INFO - 03/21/18 15:36:45 - 0:52:57 - 940000 - Discriminator loss: 0.3712 - 4600 samples/s | |
INFO - 03/21/18 15:36:47 - 0:52:58 - 944000 - Discriminator loss: 0.3708 - 5422 samples/s | |
INFO - 03/21/18 15:36:48 - 0:53:00 - 948000 - Discriminator loss: 0.3701 - 5098 samples/s | |
INFO - 03/21/18 15:36:50 - 0:53:01 - 952000 - Discriminator loss: 0.3717 - 5132 samples/s | |
INFO - 03/21/18 15:36:51 - 0:53:03 - 956000 - Discriminator loss: 0.3709 - 4783 samples/s | |
INFO - 03/21/18 15:36:53 - 0:53:05 - 960000 - Discriminator loss: 0.3707 - 5034 samples/s | |
INFO - 03/21/18 15:36:55 - 0:53:06 - 964000 - Discriminator loss: 0.3700 - 5300 samples/s | |
INFO - 03/21/18 15:36:56 - 0:53:08 - 968000 - Discriminator loss: 0.3710 - 4985 samples/s | |
INFO - 03/21/18 15:36:58 - 0:53:09 - 972000 - Discriminator loss: 0.3718 - 5544 samples/s | |
INFO - 03/21/18 15:36:59 - 0:53:11 - 976000 - Discriminator loss: 0.3703 - 4324 samples/s | |
INFO - 03/21/18 15:37:01 - 0:53:13 - 980000 - Discriminator loss: 0.3700 - 5044 samples/s | |
INFO - 03/21/18 15:37:03 - 0:53:14 - 984000 - Discriminator loss: 0.3707 - 4978 samples/s | |
INFO - 03/21/18 15:37:04 - 0:53:16 - 988000 - Discriminator loss: 0.3717 - 4585 samples/s | |
INFO - 03/21/18 15:37:06 - 0:53:18 - 992000 - Discriminator loss: 0.3709 - 4986 samples/s | |
INFO - 03/21/18 15:37:08 - 0:53:19 - 996000 - Discriminator loss: 0.3706 - 5114 samples/s | |
INFO - 03/21/18 15:37:10 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:10 - 0:53:22 - Dataset Found Not found Rho | |
INFO - 03/21/18 15:37:10 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_GUR350 268 82 0.5733 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_GUR65 64 1 0.8044 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_SIMLEX-999 956 43 0.3728 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_WS-353 342 8 0.5723 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_ZG222 154 68 0.2800 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - DE_SEMEVAL17 372 74 0.7136 | |
INFO - 03/21/18 15:37:10 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:11 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:11 - 0:53:22 - Dataset Found Not found Rho | |
INFO - 03/21/18 15:37:11 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_MC-30 30 0 0.8123 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_MTurk-287 286 1 0.6773 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_RG-65 65 0 0.7974 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_VERB-143 144 0 0.3973 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_WS-353-REL 252 0 0.6820 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_YP-130 130 0 0.5333 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_MEN-TR-3k 3000 0 0.7637 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_MTurk-771 771 0 0.6689 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_RW-STANFORD 1323 711 0.5080 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_SIMLEX-999 998 1 0.3823 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_WS-353-ALL 353 0 0.7388 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_WS-353-SIM 203 0 0.7811 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - EN_SEMEVAL17 379 9 0.7216 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - ==================================================================== | |
INFO - 03/21/18 15:37:11 - 0:53:22 - Monolingual source word similarity score average: 0.55274 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - Monolingual target word similarity score average: 0.65108 | |
INFO - 03/21/18 15:37:11 - 0:53:22 - Monolingual word similarity score average: 0.60191 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - ==================================================================== | |
INFO - 03/21/18 15:37:12 - 0:53:24 - Dataset Found Not found Rho | |
INFO - 03/21/18 15:37:12 - 0:53:24 - ==================================================================== | |
INFO - 03/21/18 15:37:12 - 0:53:24 - DE_EN_SEMEVAL17 683 72 0.3960 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - ==================================================================== | |
INFO - 03/21/18 15:37:12 - 0:53:24 - Cross-lingual word similarity score average: 0.39599 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 15:37:12 - 0:53:24 - 1500 source words - nn - Precision at k = 1: 0.933333 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - 1500 source words - nn - Precision at k = 5: 2.000000 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - 1500 source words - nn - Precision at k = 10: 3.000000 | |
INFO - 03/21/18 15:37:12 - 0:53:24 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 15:49:38 - 1:05:50 - 1500 source words - csls_knn_10 - Precision at k = 1: 2.800000 | |
INFO - 03/21/18 15:49:39 - 1:05:50 - 1500 source words - csls_knn_10 - Precision at k = 5: 5.600000 | |
INFO - 03/21/18 15:49:39 - 1:05:50 - 1500 source words - csls_knn_10 - Precision at k = 10: 7.533333 | |
INFO - 03/21/18 15:49:45 - 1:05:56 - Building the train dictionary ... | |
INFO - 03/21/18 15:49:45 - 1:05:56 - New train dictionary of 1773 pairs. | |
INFO - 03/21/18 15:49:45 - 1:05:56 - Mean cosine (nn method, S2T build, 10000 max size): 0.58498 | |
INFO - 03/21/18 16:15:53 - 1:32:05 - Building the train dictionary ... | |
INFO - 03/21/18 16:15:53 - 1:32:05 - New train dictionary of 1229 pairs. | |
INFO - 03/21/18 16:15:53 - 1:32:05 - Mean cosine (csls_knn_10 method, S2T build, 10000 max size): 0.55816 | |
INFO - 03/21/18 16:15:55 - 1:32:07 - Discriminator source / target predictions: 0.76779 / 0.17875 | |
INFO - 03/21/18 16:15:55 - 1:32:07 - Discriminator source / target / global accuracy: 0.94837 / 0.91005 / 0.92921 | |
INFO - 03/21/18 16:15:55 - 1:32:07 - __log__:{"n_epoch": 1, "src_ws_monolingual_scores": 0.5527380463165278, "src_DE_GUR350": 0.5733349873097555, "src_DE_GUR65": 0.8043569109943225, "src_DE_SIMLEX-999": 0.37280821770018463, "src_DE_WS-353": 0.5722878783160491, "src_DE_ZG222": 0.28004283257541596, "src_DE_SEMEVAL17": 0.7135974510034389, "tgt_ws_monolingual_scores": 0.6510844458154897, "tgt_EN_MC-30": 0.8122844560731877, "tgt_EN_MTurk-287": 0.6773484753662096, "tgt_EN_RG-65": 0.7974341920962535, "tgt_EN_VERB-143": 0.39730727587681697, "tgt_EN_WS-353-REL": 0.6820189571624744, "tgt_EN_YP-130": 0.5332791408572926, "tgt_EN_MEN-TR-3k": 0.7636758268962788, "tgt_EN_MTurk-771": 0.6689253094490287, "tgt_EN_RW-STANFORD": 0.5080076589673553, "tgt_EN_SIMLEX-999": 0.3822891920029773, "tgt_EN_WS-353-ALL": 0.7388081960366618, "tgt_EN_WS-353-SIM": 0.7811195898733946, "tgt_EN_SEMEVAL17": 0.7215995249434355, "ws_monolingual_scores": 0.6019112460660088, "ws_crosslingual_scores": 0.3959899657175473, "src_tgt_DE_EN_SEMEVAL17": 0.3959899657175473, "precision_at_1-nn": 0.9333333333333335, "precision_at_5-nn": 2.0, "precision_at_10-nn": 3.0, "precision_at_1-csls_knn_10": 2.8000000000000003, "precision_at_5-csls_knn_10": 5.6000000000000005, "precision_at_10-csls_knn_10": 7.533333333333333, "mean_cosine-nn-S2T-10000": 0.5849763751029968, "mean_cosine-csls_knn_10-S2T-10000": 0.558163046836853, "dis_accu": 0.92921, "dis_src_pred": 0.7677895593277179, "dis_tgt_pred": 0.17875056014983692} | |
INFO - 03/21/18 16:15:55 - 1:32:07 - End of epoch 1. | |
INFO - 03/21/18 16:15:55 - 1:32:07 - Decreasing learning rate: 0.09800000 -> 0.09604000 | |
INFO - 03/21/18 16:15:55 - 1:32:07 - Validation metric is smaller than the best: 0.55816 vs 0.59839 | |
INFO - 03/21/18 16:15:55 - 1:32:07 - Starting adversarial training epoch 2... | |
INFO - 03/21/18 16:15:55 - 1:32:07 - 000000 - Discriminator loss: 0.3713 - 3282 samples/s | |
INFO - 03/21/18 16:15:57 - 1:32:09 - 004000 - Discriminator loss: 0.3704 - 4496 samples/s | |
INFO - 03/21/18 16:15:59 - 1:32:11 - 008000 - Discriminator loss: 0.3697 - 3857 samples/s | |
INFO - 03/21/18 16:16:01 - 1:32:13 - 012000 - Discriminator loss: 0.3687 - 3659 samples/s | |
INFO - 03/21/18 16:16:03 - 1:32:14 - 016000 - Discriminator loss: 0.3681 - 5022 samples/s | |
INFO - 03/21/18 16:16:05 - 1:32:17 - 020000 - Discriminator loss: 0.3673 - 3563 samples/s | |
INFO - 03/21/18 16:16:07 - 1:32:19 - 024000 - Discriminator loss: 0.3673 - 3774 samples/s | |
INFO - 03/21/18 16:16:09 - 1:32:21 - 028000 - Discriminator loss: 0.3679 - 4116 samples/s | |
INFO - 03/21/18 16:16:11 - 1:32:23 - 032000 - Discriminator loss: 0.3678 - 3385 samples/s | |
INFO - 03/21/18 16:16:13 - 1:32:25 - 036000 - Discriminator loss: 0.3678 - 4292 samples/s | |
INFO - 03/21/18 16:16:15 - 1:32:27 - 040000 - Discriminator loss: 0.3667 - 4774 samples/s | |
INFO - 03/21/18 16:16:17 - 1:32:29 - 044000 - Discriminator loss: 0.3663 - 4028 samples/s | |
INFO - 03/21/18 16:16:19 - 1:32:31 - 048000 - Discriminator loss: 0.3659 - 3495 samples/s | |
INFO - 03/21/18 16:16:21 - 1:32:33 - 052000 - Discriminator loss: 0.3657 - 3702 samples/s | |
INFO - 03/21/18 16:16:23 - 1:32:34 - 056000 - Discriminator loss: 0.3640 - 5836 samples/s | |
INFO - 03/21/18 16:16:24 - 1:32:36 - 060000 - Discriminator loss: 0.3655 - 4960 samples/s | |
INFO - 03/21/18 16:16:27 - 1:32:38 - 064000 - Discriminator loss: 0.3648 - 3305 samples/s | |
INFO - 03/21/18 16:16:29 - 1:32:41 - 068000 - Discriminator loss: 0.3650 - 3454 samples/s | |
INFO - 03/21/18 16:16:31 - 1:32:43 - 072000 - Discriminator loss: 0.3651 - 3533 samples/s | |
INFO - 03/21/18 16:16:34 - 1:32:45 - 076000 - Discriminator loss: 0.3642 - 3617 samples/s | |
INFO - 03/21/18 16:16:36 - 1:32:47 - 080000 - Discriminator loss: 0.3637 - 3750 samples/s | |
INFO - 03/21/18 16:16:38 - 1:32:50 - 084000 - Discriminator loss: 0.3646 - 3586 samples/s | |
INFO - 03/21/18 16:16:41 - 1:32:52 - 088000 - Discriminator loss: 0.3620 - 3113 samples/s | |
INFO - 03/21/18 16:16:43 - 1:32:55 - 092000 - Discriminator loss: 0.3631 - 3308 samples/s | |
INFO - 03/21/18 16:16:45 - 1:32:57 - 096000 - Discriminator loss: 0.3638 - 3767 samples/s | |
INFO - 03/21/18 16:16:47 - 1:32:59 - 100000 - Discriminator loss: 0.3620 - 4444 samples/s | |
INFO - 03/21/18 16:16:49 - 1:33:01 - 104000 - Discriminator loss: 0.3631 - 3301 samples/s | |
INFO - 03/21/18 16:16:51 - 1:33:03 - 108000 - Discriminator loss: 0.3625 - 4275 samples/s | |
INFO - 03/21/18 16:16:53 - 1:33:05 - 112000 - Discriminator loss: 0.3619 - 4413 samples/s | |
INFO - 03/21/18 16:16:55 - 1:33:06 - 116000 - Discriminator loss: 0.3627 - 5038 samples/s | |
INFO - 03/21/18 16:16:57 - 1:33:08 - 120000 - Discriminator loss: 0.3625 - 3896 samples/s | |
INFO - 03/21/18 16:16:58 - 1:33:10 - 124000 - Discriminator loss: 0.3628 - 5617 samples/s | |
INFO - 03/21/18 16:17:00 - 1:33:11 - 128000 - Discriminator loss: 0.3618 - 4827 samples/s | |
INFO - 03/21/18 16:17:02 - 1:33:13 - 132000 - Discriminator loss: 0.3614 - 3914 samples/s | |
INFO - 03/21/18 16:17:04 - 1:33:16 - 136000 - Discriminator loss: 0.3612 - 3489 samples/s | |
INFO - 03/21/18 16:17:06 - 1:33:18 - 140000 - Discriminator loss: 0.3621 - 3383 samples/s | |
INFO - 03/21/18 16:17:08 - 1:33:20 - 144000 - Discriminator loss: 0.3624 - 3828 samples/s | |
INFO - 03/21/18 16:17:11 - 1:33:22 - 148000 - Discriminator loss: 0.3614 - 3644 samples/s | |
INFO - 03/21/18 16:17:13 - 1:33:24 - 152000 - Discriminator loss: 0.3596 - 4017 samples/s | |
INFO - 03/21/18 16:17:15 - 1:33:27 - 156000 - Discriminator loss: 0.3599 - 3586 samples/s | |
INFO - 03/21/18 16:17:17 - 1:33:28 - 160000 - Discriminator loss: 0.3600 - 4318 samples/s | |
INFO - 03/21/18 16:17:19 - 1:33:30 - 164000 - Discriminator loss: 0.3610 - 4029 samples/s | |
INFO - 03/21/18 16:17:21 - 1:33:33 - 168000 - Discriminator loss: 0.3613 - 3142 samples/s | |
INFO - 03/21/18 16:17:23 - 1:33:35 - 172000 - Discriminator loss: 0.3610 - 4684 samples/s | |
INFO - 03/21/18 16:17:25 - 1:33:37 - 176000 - Discriminator loss: 0.3603 - 3922 samples/s | |
INFO - 03/21/18 16:17:27 - 1:33:38 - 180000 - Discriminator loss: 0.3595 - 4740 samples/s | |
INFO - 03/21/18 16:17:29 - 1:33:40 - 184000 - Discriminator loss: 0.3609 - 3945 samples/s | |
INFO - 03/21/18 16:17:31 - 1:33:42 - 188000 - Discriminator loss: 0.3599 - 4370 samples/s | |
INFO - 03/21/18 16:17:33 - 1:33:44 - 192000 - Discriminator loss: 0.3598 - 3868 samples/s | |
INFO - 03/21/18 16:17:34 - 1:33:46 - 196000 - Discriminator loss: 0.3605 - 5316 samples/s | |
INFO - 03/21/18 16:17:36 - 1:33:48 - 200000 - Discriminator loss: 0.3601 - 4332 samples/s | |
INFO - 03/21/18 16:17:38 - 1:33:50 - 204000 - Discriminator loss: 0.3591 - 3470 samples/s | |
INFO - 03/21/18 16:17:41 - 1:33:53 - 208000 - Discriminator loss: 0.3594 - 2751 samples/s | |
INFO - 03/21/18 16:17:43 - 1:33:54 - 212000 - Discriminator loss: 0.3592 - 5100 samples/s | |
INFO - 03/21/18 16:17:45 - 1:33:57 - 216000 - Discriminator loss: 0.3586 - 3400 samples/s | |
INFO - 03/21/18 16:17:47 - 1:33:58 - 220000 - Discriminator loss: 0.3596 - 5560 samples/s | |
INFO - 03/21/18 16:17:48 - 1:34:00 - 224000 - Discriminator loss: 0.3596 - 5915 samples/s | |
INFO - 03/21/18 16:17:50 - 1:34:02 - 228000 - Discriminator loss: 0.3596 - 3871 samples/s | |
INFO - 03/21/18 16:17:52 - 1:34:03 - 232000 - Discriminator loss: 0.3599 - 4894 samples/s | |
INFO - 03/21/18 16:17:53 - 1:34:05 - 236000 - Discriminator loss: 0.3595 - 4282 samples/s | |
INFO - 03/21/18 16:17:55 - 1:34:07 - 240000 - Discriminator loss: 0.3593 - 5300 samples/s | |
INFO - 03/21/18 16:17:57 - 1:34:08 - 244000 - Discriminator loss: 0.3594 - 4838 samples/s | |
INFO - 03/21/18 16:17:59 - 1:34:10 - 248000 - Discriminator loss: 0.3589 - 4148 samples/s | |
INFO - 03/21/18 16:18:01 - 1:34:13 - 252000 - Discriminator loss: 0.3591 - 3475 samples/s | |
INFO - 03/21/18 16:18:02 - 1:34:14 - 256000 - Discriminator loss: 0.3587 - 5757 samples/s | |
INFO - 03/21/18 16:18:04 - 1:34:15 - 260000 - Discriminator loss: 0.3592 - 5266 samples/s | |
INFO - 03/21/18 16:18:06 - 1:34:17 - 264000 - Discriminator loss: 0.3597 - 4349 samples/s | |
INFO - 03/21/18 16:18:08 - 1:34:20 - 268000 - Discriminator loss: 0.3590 - 3216 samples/s | |
INFO - 03/21/18 16:18:10 - 1:34:22 - 272000 - Discriminator loss: 0.3581 - 4072 samples/s | |
INFO - 03/21/18 16:18:12 - 1:34:24 - 276000 - Discriminator loss: 0.3587 - 4166 samples/s | |
INFO - 03/21/18 16:18:14 - 1:34:26 - 280000 - Discriminator loss: 0.3581 - 3259 samples/s | |
INFO - 03/21/18 16:18:17 - 1:34:28 - 284000 - Discriminator loss: 0.3566 - 3899 samples/s | |
INFO - 03/21/18 16:18:19 - 1:34:30 - 288000 - Discriminator loss: 0.3575 - 4009 samples/s | |
INFO - 03/21/18 16:18:21 - 1:34:32 - 292000 - Discriminator loss: 0.3577 - 3606 samples/s | |
INFO - 03/21/18 16:18:23 - 1:34:35 - 296000 - Discriminator loss: 0.3564 - 3066 samples/s | |
INFO - 03/21/18 16:18:26 - 1:34:37 - 300000 - Discriminator loss: 0.3569 - 3390 samples/s | |
INFO - 03/21/18 16:18:28 - 1:34:40 - 304000 - Discriminator loss: 0.3566 - 3734 samples/s | |
INFO - 03/21/18 16:18:30 - 1:34:42 - 308000 - Discriminator loss: 0.3569 - 3848 samples/s | |
INFO - 03/21/18 16:18:32 - 1:34:43 - 312000 - Discriminator loss: 0.3571 - 4250 samples/s | |
INFO - 03/21/18 16:18:34 - 1:34:46 - 316000 - Discriminator loss: 0.3572 - 3760 samples/s | |
INFO - 03/21/18 16:18:36 - 1:34:47 - 320000 - Discriminator loss: 0.3571 - 4572 samples/s | |
INFO - 03/21/18 16:18:37 - 1:34:49 - 324000 - Discriminator loss: 0.3572 - 4587 samples/s | |
INFO - 03/21/18 16:18:40 - 1:34:51 - 328000 - Discriminator loss: 0.3565 - 3827 samples/s | |
INFO - 03/21/18 16:18:41 - 1:34:53 - 332000 - Discriminator loss: 0.3566 - 4324 samples/s | |
INFO - 03/21/18 16:18:43 - 1:34:55 - 336000 - Discriminator loss: 0.3557 - 4060 samples/s | |
INFO - 03/21/18 16:18:46 - 1:34:57 - 340000 - Discriminator loss: 0.3555 - 3418 samples/s | |
INFO - 03/21/18 16:18:48 - 1:35:00 - 344000 - Discriminator loss: 0.3560 - 3590 samples/s | |
INFO - 03/21/18 16:18:50 - 1:35:01 - 348000 - Discriminator loss: 0.3550 - 4314 samples/s | |
INFO - 03/21/18 16:18:52 - 1:35:03 - 352000 - Discriminator loss: 0.3557 - 4511 samples/s | |
INFO - 03/21/18 16:18:54 - 1:35:05 - 356000 - Discriminator loss: 0.3544 - 3741 samples/s | |
INFO - 03/21/18 16:18:56 - 1:35:07 - 360000 - Discriminator loss: 0.3544 - 4082 samples/s | |
INFO - 03/21/18 16:18:58 - 1:35:10 - 364000 - Discriminator loss: 0.3554 - 3306 samples/s | |
INFO - 03/21/18 16:19:00 - 1:35:12 - 368000 - Discriminator loss: 0.3544 - 3930 samples/s | |
INFO - 03/21/18 16:19:02 - 1:35:14 - 372000 - Discriminator loss: 0.3547 - 3364 samples/s | |
INFO - 03/21/18 16:19:05 - 1:35:17 - 376000 - Discriminator loss: 0.3542 - 3319 samples/s | |
INFO - 03/21/18 16:19:07 - 1:35:19 - 380000 - Discriminator loss: 0.3558 - 3585 samples/s | |
INFO - 03/21/18 16:19:09 - 1:35:20 - 384000 - Discriminator loss: 0.3545 - 4935 samples/s | |
INFO - 03/21/18 16:19:10 - 1:35:22 - 388000 - Discriminator loss: 0.3543 - 5150 samples/s | |
INFO - 03/21/18 16:19:12 - 1:35:24 - 392000 - Discriminator loss: 0.3550 - 4935 samples/s | |
INFO - 03/21/18 16:19:14 - 1:35:25 - 396000 - Discriminator loss: 0.3548 - 4270 samples/s | |
INFO - 03/21/18 16:19:16 - 1:35:27 - 400000 - Discriminator loss: 0.3544 - 4257 samples/s | |
INFO - 03/21/18 16:19:18 - 1:35:30 - 404000 - Discriminator loss: 0.3540 - 3431 samples/s | |
INFO - 03/21/18 16:19:20 - 1:35:32 - 408000 - Discriminator loss: 0.3541 - 3229 samples/s | |
INFO - 03/21/18 16:19:23 - 1:35:34 - 412000 - Discriminator loss: 0.3549 - 3858 samples/s | |
INFO - 03/21/18 16:19:25 - 1:35:37 - 416000 - Discriminator loss: 0.3546 - 3483 samples/s | |
INFO - 03/21/18 16:19:27 - 1:35:39 - 420000 - Discriminator loss: 0.3549 - 3891 samples/s | |
INFO - 03/21/18 16:19:29 - 1:35:41 - 424000 - Discriminator loss: 0.3544 - 3805 samples/s | |
INFO - 03/21/18 16:19:31 - 1:35:43 - 428000 - Discriminator loss: 0.3540 - 3734 samples/s | |
INFO - 03/21/18 16:19:33 - 1:35:45 - 432000 - Discriminator loss: 0.3541 - 3955 samples/s | |
INFO - 03/21/18 16:19:35 - 1:35:46 - 436000 - Discriminator loss: 0.3535 - 5551 samples/s | |
INFO - 03/21/18 16:19:37 - 1:35:48 - 440000 - Discriminator loss: 0.3533 - 4239 samples/s | |
INFO - 03/21/18 16:19:38 - 1:35:50 - 444000 - Discriminator loss: 0.3533 - 4240 samples/s | |
INFO - 03/21/18 16:19:41 - 1:35:52 - 448000 - Discriminator loss: 0.3525 - 3539 samples/s | |
INFO - 03/21/18 16:19:42 - 1:35:54 - 452000 - Discriminator loss: 0.3525 - 4863 samples/s | |
INFO - 03/21/18 16:19:45 - 1:35:56 - 456000 - Discriminator loss: 0.3530 - 3502 samples/s | |
INFO - 03/21/18 16:19:47 - 1:35:58 - 460000 - Discriminator loss: 0.3529 - 3850 samples/s | |
INFO - 03/21/18 16:19:48 - 1:36:00 - 464000 - Discriminator loss: 0.3522 - 4576 samples/s | |
INFO - 03/21/18 16:19:50 - 1:36:01 - 468000 - Discriminator loss: 0.3518 - 5865 samples/s | |
INFO - 03/21/18 16:19:52 - 1:36:04 - 472000 - Discriminator loss: 0.3524 - 3753 samples/s | |
INFO - 03/21/18 16:19:54 - 1:36:06 - 476000 - Discriminator loss: 0.3518 - 3670 samples/s | |
INFO - 03/21/18 16:19:56 - 1:36:07 - 480000 - Discriminator loss: 0.3524 - 4603 samples/s | |
INFO - 03/21/18 16:19:58 - 1:36:10 - 484000 - Discriminator loss: 0.3519 - 3295 samples/s | |
INFO - 03/21/18 16:20:00 - 1:36:12 - 488000 - Discriminator loss: 0.3517 - 3964 samples/s | |
INFO - 03/21/18 16:20:02 - 1:36:14 - 492000 - Discriminator loss: 0.3523 - 4199 samples/s | |
INFO - 03/21/18 16:20:04 - 1:36:16 - 496000 - Discriminator loss: 0.3515 - 4715 samples/s | |
INFO - 03/21/18 16:20:06 - 1:36:18 - 500000 - Discriminator loss: 0.3508 - 3934 samples/s | |
INFO - 03/21/18 16:20:08 - 1:36:20 - 504000 - Discriminator loss: 0.3517 - 3127 samples/s | |
INFO - 03/21/18 16:20:10 - 1:36:22 - 508000 - Discriminator loss: 0.3514 - 4691 samples/s | |
INFO - 03/21/18 16:20:13 - 1:36:24 - 512000 - Discriminator loss: 0.3512 - 3332 samples/s | |
INFO - 03/21/18 16:20:15 - 1:36:26 - 516000 - Discriminator loss: 0.3509 - 3810 samples/s | |
INFO - 03/21/18 16:20:17 - 1:36:28 - 520000 - Discriminator loss: 0.3513 - 4191 samples/s | |
INFO - 03/21/18 16:20:19 - 1:36:31 - 524000 - Discriminator loss: 0.3510 - 3302 samples/s | |
INFO - 03/21/18 16:20:21 - 1:36:33 - 528000 - Discriminator loss: 0.3510 - 3581 samples/s | |
INFO - 03/21/18 16:20:23 - 1:36:35 - 532000 - Discriminator loss: 0.3510 - 3683 samples/s | |
INFO - 03/21/18 16:20:25 - 1:36:37 - 536000 - Discriminator loss: 0.3508 - 3975 samples/s | |
INFO - 03/21/18 16:20:27 - 1:36:39 - 540000 - Discriminator loss: 0.3508 - 4843 samples/s | |
INFO - 03/21/18 16:20:29 - 1:36:41 - 544000 - Discriminator loss: 0.3505 - 3996 samples/s | |
INFO - 03/21/18 16:20:31 - 1:36:43 - 548000 - Discriminator loss: 0.3507 - 4460 samples/s | |
INFO - 03/21/18 16:20:33 - 1:36:45 - 552000 - Discriminator loss: 0.3510 - 4038 samples/s | |
INFO - 03/21/18 16:20:35 - 1:36:46 - 556000 - Discriminator loss: 0.3506 - 4302 samples/s | |
INFO - 03/21/18 16:20:37 - 1:36:49 - 560000 - Discriminator loss: 0.3507 - 3312 samples/s | |
INFO - 03/21/18 16:20:39 - 1:36:51 - 564000 - Discriminator loss: 0.3501 - 4021 samples/s | |
INFO - 03/21/18 16:20:42 - 1:36:53 - 568000 - Discriminator loss: 0.3501 - 3281 samples/s | |
INFO - 03/21/18 16:20:43 - 1:36:55 - 572000 - Discriminator loss: 0.3506 - 5100 samples/s | |
INFO - 03/21/18 16:20:45 - 1:36:57 - 576000 - Discriminator loss: 0.3507 - 4622 samples/s | |
INFO - 03/21/18 16:20:47 - 1:36:58 - 580000 - Discriminator loss: 0.3506 - 4138 samples/s | |
INFO - 03/21/18 16:20:49 - 1:37:01 - 584000 - Discriminator loss: 0.3508 - 3489 samples/s | |
INFO - 03/21/18 16:20:51 - 1:37:03 - 588000 - Discriminator loss: 0.3507 - 3799 samples/s | |
INFO - 03/21/18 16:20:53 - 1:37:05 - 592000 - Discriminator loss: 0.3506 - 3534 samples/s | |
INFO - 03/21/18 16:20:56 - 1:37:07 - 596000 - Discriminator loss: 0.3512 - 3602 samples/s | |
INFO - 03/21/18 16:20:58 - 1:37:10 - 600000 - Discriminator loss: 0.3510 - 3569 samples/s | |
INFO - 03/21/18 16:21:00 - 1:37:11 - 604000 - Discriminator loss: 0.3521 - 4601 samples/s | |
INFO - 03/21/18 16:21:02 - 1:37:14 - 608000 - Discriminator loss: 0.3517 - 3681 samples/s | |
INFO - 03/21/18 16:21:04 - 1:37:15 - 612000 - Discriminator loss: 0.3516 - 4134 samples/s | |
INFO - 03/21/18 16:21:06 - 1:37:18 - 616000 - Discriminator loss: 0.3514 - 3346 samples/s | |
INFO - 03/21/18 16:21:09 - 1:37:21 - 620000 - Discriminator loss: 0.3522 - 2750 samples/s | |
INFO - 03/21/18 16:21:11 - 1:37:23 - 624000 - Discriminator loss: 0.3512 - 3634 samples/s | |
INFO - 03/21/18 16:21:13 - 1:37:25 - 628000 - Discriminator loss: 0.3520 - 3939 samples/s | |
INFO - 03/21/18 16:21:15 - 1:37:27 - 632000 - Discriminator loss: 0.3515 - 4081 samples/s | |
INFO - 03/21/18 16:21:18 - 1:37:29 - 636000 - Discriminator loss: 0.3518 - 3319 samples/s | |
INFO - 03/21/18 16:21:19 - 1:37:31 - 640000 - Discriminator loss: 0.3518 - 4663 samples/s | |
INFO - 03/21/18 16:21:21 - 1:37:33 - 644000 - Discriminator loss: 0.3526 - 5368 samples/s | |
INFO - 03/21/18 16:21:23 - 1:37:34 - 648000 - Discriminator loss: 0.3518 - 4150 samples/s | |
INFO - 03/21/18 16:21:24 - 1:37:36 - 652000 - Discriminator loss: 0.3511 - 4719 samples/s | |
INFO - 03/21/18 16:21:26 - 1:37:38 - 656000 - Discriminator loss: 0.3517 - 4334 samples/s | |
INFO - 03/21/18 16:21:28 - 1:37:40 - 660000 - Discriminator loss: 0.3528 - 3834 samples/s | |
INFO - 03/21/18 16:21:30 - 1:37:42 - 664000 - Discriminator loss: 0.3522 - 3989 samples/s | |
INFO - 03/21/18 16:21:33 - 1:37:44 - 668000 - Discriminator loss: 0.3523 - 3627 samples/s | |
INFO - 03/21/18 16:21:34 - 1:37:46 - 672000 - Discriminator loss: 0.3529 - 5227 samples/s | |
INFO - 03/21/18 16:21:37 - 1:37:48 - 676000 - Discriminator loss: 0.3527 - 3333 samples/s | |
INFO - 03/21/18 16:21:39 - 1:37:50 - 680000 - Discriminator loss: 0.3529 - 4127 samples/s | |
INFO - 03/21/18 16:21:40 - 1:37:52 - 684000 - Discriminator loss: 0.3537 - 4712 samples/s | |
INFO - 03/21/18 16:21:42 - 1:37:53 - 688000 - Discriminator loss: 0.3530 - 4977 samples/s | |
INFO - 03/21/18 16:21:44 - 1:37:56 - 692000 - Discriminator loss: 0.3527 - 3978 samples/s | |
INFO - 03/21/18 16:21:46 - 1:37:58 - 696000 - Discriminator loss: 0.3535 - 3744 samples/s | |
INFO - 03/21/18 16:21:48 - 1:37:59 - 700000 - Discriminator loss: 0.3540 - 5023 samples/s | |
INFO - 03/21/18 16:21:49 - 1:38:01 - 704000 - Discriminator loss: 0.3538 - 5764 samples/s | |
INFO - 03/21/18 16:21:51 - 1:38:02 - 708000 - Discriminator loss: 0.3537 - 4622 samples/s | |
INFO - 03/21/18 16:21:52 - 1:38:04 - 712000 - Discriminator loss: 0.3534 - 4690 samples/s | |
INFO - 03/21/18 16:21:55 - 1:38:06 - 716000 - Discriminator loss: 0.3536 - 3649 samples/s | |
INFO - 03/21/18 16:21:56 - 1:38:08 - 720000 - Discriminator loss: 0.3533 - 4492 samples/s | |
INFO - 03/21/18 16:21:58 - 1:38:09 - 724000 - Discriminator loss: 0.3532 - 5734 samples/s | |
INFO - 03/21/18 16:22:00 - 1:38:11 - 728000 - Discriminator loss: 0.3528 - 4382 samples/s | |
INFO - 03/21/18 16:22:02 - 1:38:14 - 732000 - Discriminator loss: 0.3534 - 3496 samples/s | |
INFO - 03/21/18 16:22:03 - 1:38:15 - 736000 - Discriminator loss: 0.3535 - 4957 samples/s | |
INFO - 03/21/18 16:22:05 - 1:38:17 - 740000 - Discriminator loss: 0.3534 - 5732 samples/s | |
INFO - 03/21/18 16:22:07 - 1:38:19 - 744000 - Discriminator loss: 0.3532 - 3133 samples/s | |
INFO - 03/21/18 16:22:09 - 1:38:21 - 748000 - Discriminator loss: 0.3531 - 4990 samples/s | |
INFO - 03/21/18 16:22:11 - 1:38:23 - 752000 - Discriminator loss: 0.3541 - 3588 samples/s | |
INFO - 03/21/18 16:22:13 - 1:38:25 - 756000 - Discriminator loss: 0.3539 - 5047 samples/s | |
INFO - 03/21/18 16:22:15 - 1:38:27 - 760000 - Discriminator loss: 0.3544 - 3521 samples/s | |
INFO - 03/21/18 16:22:17 - 1:38:29 - 764000 - Discriminator loss: 0.3551 - 3615 samples/s | |
INFO - 03/21/18 16:22:19 - 1:38:30 - 768000 - Discriminator loss: 0.3555 - 5883 samples/s | |
INFO - 03/21/18 16:22:20 - 1:38:32 - 772000 - Discriminator loss: 0.3550 - 4690 samples/s | |
INFO - 03/21/18 16:22:22 - 1:38:34 - 776000 - Discriminator loss: 0.3547 - 4145 samples/s | |
INFO - 03/21/18 16:22:25 - 1:38:36 - 780000 - Discriminator loss: 0.3546 - 3527 samples/s | |
INFO - 03/21/18 16:22:27 - 1:38:38 - 784000 - Discriminator loss: 0.3549 - 3835 samples/s | |
INFO - 03/21/18 16:22:28 - 1:38:40 - 788000 - Discriminator loss: 0.3554 - 4634 samples/s | |
INFO - 03/21/18 16:22:31 - 1:38:42 - 792000 - Discriminator loss: 0.3556 - 3463 samples/s | |
INFO - 03/21/18 16:22:33 - 1:38:45 - 796000 - Discriminator loss: 0.3552 - 3383 samples/s | |
INFO - 03/21/18 16:22:35 - 1:38:47 - 800000 - Discriminator loss: 0.3551 - 3578 samples/s | |
INFO - 03/21/18 16:22:38 - 1:38:50 - 804000 - Discriminator loss: 0.3552 - 3040 samples/s | |
INFO - 03/21/18 16:22:40 - 1:38:52 - 808000 - Discriminator loss: 0.3550 - 3204 samples/s | |
INFO - 03/21/18 16:22:43 - 1:38:54 - 812000 - Discriminator loss: 0.3557 - 3795 samples/s | |
INFO - 03/21/18 16:22:45 - 1:38:56 - 816000 - Discriminator loss: 0.3546 - 3923 samples/s | |
INFO - 03/21/18 16:22:47 - 1:38:58 - 820000 - Discriminator loss: 0.3541 - 3632 samples/s | |
INFO - 03/21/18 16:22:49 - 1:39:00 - 824000 - Discriminator loss: 0.3534 - 4301 samples/s | |
INFO - 03/21/18 16:22:51 - 1:39:02 - 828000 - Discriminator loss: 0.3536 - 3706 samples/s | |
INFO - 03/21/18 16:22:53 - 1:39:04 - 832000 - Discriminator loss: 0.3531 - 3994 samples/s | |
INFO - 03/21/18 16:22:55 - 1:39:07 - 836000 - Discriminator loss: 0.3533 - 3364 samples/s | |
INFO - 03/21/18 16:22:57 - 1:39:08 - 840000 - Discriminator loss: 0.3525 - 5217 samples/s | |
INFO - 03/21/18 16:22:59 - 1:39:10 - 844000 - Discriminator loss: 0.3521 - 4407 samples/s | |
INFO - 03/21/18 16:23:00 - 1:39:12 - 848000 - Discriminator loss: 0.3522 - 5054 samples/s | |
INFO - 03/21/18 16:23:02 - 1:39:13 - 852000 - Discriminator loss: 0.3523 - 5203 samples/s | |
INFO - 03/21/18 16:23:03 - 1:39:15 - 856000 - Discriminator loss: 0.3523 - 4575 samples/s | |
INFO - 03/21/18 16:23:05 - 1:39:17 - 860000 - Discriminator loss: 0.3525 - 5435 samples/s | |
INFO - 03/21/18 16:23:07 - 1:39:18 - 864000 - Discriminator loss: 0.3531 - 4539 samples/s | |
INFO - 03/21/18 16:23:08 - 1:39:20 - 868000 - Discriminator loss: 0.3530 - 5858 samples/s | |
INFO - 03/21/18 16:23:09 - 1:39:21 - 872000 - Discriminator loss: 0.3522 - 5776 samples/s | |
INFO - 03/21/18 16:23:11 - 1:39:23 - 876000 - Discriminator loss: 0.3522 - 5528 samples/s | |
INFO - 03/21/18 16:23:12 - 1:39:24 - 880000 - Discriminator loss: 0.3527 - 5510 samples/s | |
INFO - 03/21/18 16:23:14 - 1:39:25 - 884000 - Discriminator loss: 0.3522 - 5310 samples/s | |
INFO - 03/21/18 16:23:15 - 1:39:27 - 888000 - Discriminator loss: 0.3522 - 5363 samples/s | |
INFO - 03/21/18 16:23:17 - 1:39:29 - 892000 - Discriminator loss: 0.3521 - 4721 samples/s | |
INFO - 03/21/18 16:23:18 - 1:39:30 - 896000 - Discriminator loss: 0.3516 - 5668 samples/s | |
INFO - 03/21/18 16:23:20 - 1:39:32 - 900000 - Discriminator loss: 0.3513 - 4936 samples/s | |
INFO - 03/21/18 16:23:22 - 1:39:33 - 904000 - Discriminator loss: 0.3514 - 5221 samples/s | |
INFO - 03/21/18 16:23:23 - 1:39:35 - 908000 - Discriminator loss: 0.3521 - 4423 samples/s | |
INFO - 03/21/18 16:23:25 - 1:39:37 - 912000 - Discriminator loss: 0.3516 - 4524 samples/s | |
INFO - 03/21/18 16:23:27 - 1:39:38 - 916000 - Discriminator loss: 0.3513 - 4775 samples/s | |
INFO - 03/21/18 16:23:29 - 1:39:40 - 920000 - Discriminator loss: 0.3514 - 4124 samples/s | |
INFO - 03/21/18 16:23:30 - 1:39:42 - 924000 - Discriminator loss: 0.3519 - 5716 samples/s | |
INFO - 03/21/18 16:23:32 - 1:39:43 - 928000 - Discriminator loss: 0.3526 - 5677 samples/s | |
INFO - 03/21/18 16:23:33 - 1:39:45 - 932000 - Discriminator loss: 0.3518 - 5471 samples/s | |
INFO - 03/21/18 16:23:34 - 1:39:46 - 936000 - Discriminator loss: 0.3518 - 5454 samples/s | |
INFO - 03/21/18 16:23:36 - 1:39:48 - 940000 - Discriminator loss: 0.3517 - 5095 samples/s | |
INFO - 03/21/18 16:23:38 - 1:39:50 - 944000 - Discriminator loss: 0.3515 - 4269 samples/s | |
INFO - 03/21/18 16:23:39 - 1:39:51 - 948000 - Discriminator loss: 0.3512 - 5806 samples/s | |
INFO - 03/21/18 16:23:41 - 1:39:52 - 952000 - Discriminator loss: 0.3516 - 5683 samples/s | |
INFO - 03/21/18 16:23:43 - 1:39:54 - 956000 - Discriminator loss: 0.3510 - 4442 samples/s | |
INFO - 03/21/18 16:23:44 - 1:39:56 - 960000 - Discriminator loss: 0.3508 - 5629 samples/s | |
INFO - 03/21/18 16:23:45 - 1:39:57 - 964000 - Discriminator loss: 0.3519 - 5295 samples/s | |
INFO - 03/21/18 16:23:47 - 1:39:59 - 968000 - Discriminator loss: 0.3514 - 5448 samples/s | |
INFO - 03/21/18 16:23:48 - 1:40:00 - 972000 - Discriminator loss: 0.3513 - 5376 samples/s | |
INFO - 03/21/18 16:23:50 - 1:40:02 - 976000 - Discriminator loss: 0.3504 - 4688 samples/s | |
INFO - 03/21/18 16:23:52 - 1:40:03 - 980000 - Discriminator loss: 0.3506 - 4807 samples/s | |
INFO - 03/21/18 16:23:53 - 1:40:05 - 984000 - Discriminator loss: 0.3510 - 4808 samples/s | |
INFO - 03/21/18 16:23:55 - 1:40:07 - 988000 - Discriminator loss: 0.3508 - 5237 samples/s | |
INFO - 03/21/18 16:23:57 - 1:40:08 - 992000 - Discriminator loss: 0.3516 - 5127 samples/s | |
INFO - 03/21/18 16:23:58 - 1:40:10 - 996000 - Discriminator loss: 0.3512 - 5006 samples/s | |
INFO - 03/21/18 16:24:00 - 1:40:11 - ==================================================================== | |
INFO - 03/21/18 16:24:00 - 1:40:11 - Dataset Found Not found Rho | |
INFO - 03/21/18 16:24:00 - 1:40:11 - ==================================================================== | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_GUR350 268 82 0.5995 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_GUR65 64 1 0.8035 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_SIMLEX-999 956 43 0.3415 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_WS-353 342 8 0.6541 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_ZG222 154 68 0.3473 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - DE_SEMEVAL17 372 74 0.7142 | |
INFO - 03/21/18 16:24:00 - 1:40:11 - ==================================================================== | |
INFO - 03/21/18 16:24:01 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:01 - 1:40:13 - Dataset Found Not found Rho | |
INFO - 03/21/18 16:24:01 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_MC-30 30 0 0.8123 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_MTurk-287 286 1 0.6773 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_RG-65 65 0 0.7974 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_VERB-143 144 0 0.3973 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_WS-353-REL 252 0 0.6820 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_YP-130 130 0 0.5333 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_MEN-TR-3k 3000 0 0.7637 | |
INFO - 03/21/18 16:24:01 - 1:40:13 - EN_MTurk-771 771 0 0.6689 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - EN_RW-STANFORD 1323 711 0.5080 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - EN_SIMLEX-999 998 1 0.3823 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - EN_WS-353-ALL 353 0 0.7388 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - EN_WS-353-SIM 203 0 0.7811 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - EN_SEMEVAL17 379 9 0.7216 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Monolingual source word similarity score average: 0.57669 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Monolingual target word similarity score average: 0.65108 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Monolingual word similarity score average: 0.61389 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Dataset Found Not found Rho | |
INFO - 03/21/18 16:24:02 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:02 - 1:40:13 - DE_EN_SEMEVAL17 683 72 0.0637 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - ==================================================================== | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Cross-lingual word similarity score average: 0.06370 | |
INFO - 03/21/18 16:24:02 - 1:40:13 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 16:24:02 - 1:40:14 - 1500 source words - nn - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 16:24:02 - 1:40:14 - 1500 source words - nn - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 16:24:02 - 1:40:14 - 1500 source words - nn - Precision at k = 10: 0.000000 | |
INFO - 03/21/18 16:24:02 - 1:40:14 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 16:38:03 - 1:54:15 - 1500 source words - csls_knn_10 - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 16:38:03 - 1:54:15 - 1500 source words - csls_knn_10 - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 16:38:03 - 1:54:15 - 1500 source words - csls_knn_10 - Precision at k = 10: 0.066667 | |
INFO - 03/21/18 16:38:10 - 1:54:22 - Building the train dictionary ... | |
INFO - 03/21/18 16:38:10 - 1:54:22 - New train dictionary of 1304 pairs. | |
INFO - 03/21/18 16:38:10 - 1:54:22 - Mean cosine (nn method, S2T build, 10000 max size): 0.55206 | |
INFO - 03/21/18 17:09:00 - 2:25:12 - Building the train dictionary ... | |
INFO - 03/21/18 17:09:00 - 2:25:12 - New train dictionary of 848 pairs. | |
INFO - 03/21/18 17:09:00 - 2:25:12 - Mean cosine (csls_knn_10 method, S2T build, 10000 max size): 0.50053 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Discriminator source / target predictions: 0.84987 / 0.20323 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Discriminator source / target / global accuracy: 0.99213 / 0.87355 / 0.93284 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - __log__:{"n_epoch": 2, "src_ws_monolingual_scores": 0.576692576763071, "src_DE_GUR350": 0.599511287952934, "src_DE_GUR65": 0.8034635628659221, "src_DE_SIMLEX-999": 0.3415029751214942, "src_DE_WS-353": 0.6541294751623667, "src_DE_ZG222": 0.34732896663931245, "src_DE_SEMEVAL17": 0.7142191928363957, "tgt_ws_monolingual_scores": 0.6510844458154897, "tgt_EN_MC-30": 0.8122844560731877, "tgt_EN_MTurk-287": 0.6773484753662096, "tgt_EN_RG-65": 0.7974341920962535, "tgt_EN_VERB-143": 0.39730727587681697, "tgt_EN_WS-353-REL": 0.6820189571624744, "tgt_EN_YP-130": 0.5332791408572926, "tgt_EN_MEN-TR-3k": 0.7636758268962788, "tgt_EN_MTurk-771": 0.6689253094490287, "tgt_EN_RW-STANFORD": 0.5080076589673553, "tgt_EN_SIMLEX-999": 0.3822891920029773, "tgt_EN_WS-353-ALL": 0.7388081960366618, "tgt_EN_WS-353-SIM": 0.7811195898733946, "tgt_EN_SEMEVAL17": 0.7215995249434355, "ws_monolingual_scores": 0.6138885112892803, "ws_crosslingual_scores": 0.06370184383550073, "src_tgt_DE_EN_SEMEVAL17": 0.06370184383550073, "precision_at_1-nn": 0.0, "precision_at_5-nn": 0.0, "precision_at_10-nn": 0.0, "precision_at_1-csls_knn_10": 0.0, "precision_at_5-csls_knn_10": 0.0, "precision_at_10-csls_knn_10": 0.06666666666666667, "mean_cosine-nn-S2T-10000": 0.5520573258399963, "mean_cosine-csls_knn_10-S2T-10000": 0.5005293488502502, "dis_accu": 0.93284, "dis_src_pred": 0.8498660081712902, "dis_tgt_pred": 0.203232791167876} | |
INFO - 03/21/18 17:09:04 - 2:25:15 - End of epoch 2. | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Decreasing learning rate: 0.09604000 -> 0.09411920 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Validation metric is smaller than the best: 0.50053 vs 0.59839 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Shrinking the learning rate: 0.09412 -> 0.04706 | |
INFO - 03/21/18 17:09:04 - 2:25:15 - Starting adversarial training epoch 3... | |
INFO - 03/21/18 17:09:04 - 2:25:16 - 000000 - Discriminator loss: 0.3574 - 2690 samples/s | |
INFO - 03/21/18 17:09:06 - 2:25:18 - 004000 - Discriminator loss: 0.3495 - 3556 samples/s | |
INFO - 03/21/18 17:09:08 - 2:25:19 - 008000 - Discriminator loss: 0.3469 - 4899 samples/s | |
INFO - 03/21/18 17:09:10 - 2:25:22 - 012000 - Discriminator loss: 0.3467 - 3657 samples/s | |
INFO - 03/21/18 17:09:12 - 2:25:23 - 016000 - Discriminator loss: 0.3455 - 4207 samples/s | |
INFO - 03/21/18 17:09:13 - 2:25:25 - 020000 - Discriminator loss: 0.3453 - 4868 samples/s | |
INFO - 03/21/18 17:09:16 - 2:25:27 - 024000 - Discriminator loss: 0.3446 - 3899 samples/s | |
INFO - 03/21/18 17:09:18 - 2:25:29 - 028000 - Discriminator loss: 0.3445 - 3581 samples/s | |
INFO - 03/21/18 17:09:20 - 2:25:31 - 032000 - Discriminator loss: 0.3441 - 4158 samples/s | |
INFO - 03/21/18 17:09:22 - 2:25:34 - 036000 - Discriminator loss: 0.3441 - 3462 samples/s | |
INFO - 03/21/18 17:09:24 - 2:25:36 - 040000 - Discriminator loss: 0.3438 - 3542 samples/s | |
INFO - 03/21/18 17:09:26 - 2:25:38 - 044000 - Discriminator loss: 0.3438 - 3615 samples/s | |
INFO - 03/21/18 17:09:29 - 2:25:40 - 048000 - Discriminator loss: 0.3441 - 3416 samples/s | |
INFO - 03/21/18 17:09:31 - 2:25:42 - 052000 - Discriminator loss: 0.3436 - 4286 samples/s | |
INFO - 03/21/18 17:09:32 - 2:25:44 - 056000 - Discriminator loss: 0.3434 - 5707 samples/s | |
INFO - 03/21/18 17:09:34 - 2:25:45 - 060000 - Discriminator loss: 0.3434 - 5470 samples/s | |
INFO - 03/21/18 17:09:36 - 2:25:47 - 064000 - Discriminator loss: 0.3431 - 3984 samples/s | |
INFO - 03/21/18 17:09:38 - 2:25:49 - 068000 - Discriminator loss: 0.3438 - 3757 samples/s | |
INFO - 03/21/18 17:09:39 - 2:25:51 - 072000 - Discriminator loss: 0.3428 - 4967 samples/s | |
INFO - 03/21/18 17:09:41 - 2:25:53 - 076000 - Discriminator loss: 0.3430 - 4120 samples/s | |
INFO - 03/21/18 17:09:43 - 2:25:55 - 080000 - Discriminator loss: 0.3428 - 4343 samples/s | |
INFO - 03/21/18 17:09:45 - 2:25:57 - 084000 - Discriminator loss: 0.3428 - 3678 samples/s | |
INFO - 03/21/18 17:09:47 - 2:25:59 - 088000 - Discriminator loss: 0.3428 - 4028 samples/s | |
INFO - 03/21/18 17:09:49 - 2:26:01 - 092000 - Discriminator loss: 0.3423 - 3708 samples/s | |
INFO - 03/21/18 17:09:52 - 2:26:04 - 096000 - Discriminator loss: 0.3424 - 3151 samples/s | |
INFO - 03/21/18 17:09:54 - 2:26:05 - 100000 - Discriminator loss: 0.3425 - 4527 samples/s | |
INFO - 03/21/18 17:09:56 - 2:26:08 - 104000 - Discriminator loss: 0.3422 - 3593 samples/s | |
INFO - 03/21/18 17:09:58 - 2:26:09 - 108000 - Discriminator loss: 0.3419 - 4195 samples/s | |
INFO - 03/21/18 17:10:00 - 2:26:12 - 112000 - Discriminator loss: 0.3421 - 3356 samples/s | |
INFO - 03/21/18 17:10:02 - 2:26:14 - 116000 - Discriminator loss: 0.3421 - 3874 samples/s | |
INFO - 03/21/18 17:10:04 - 2:26:16 - 120000 - Discriminator loss: 0.3420 - 3740 samples/s | |
INFO - 03/21/18 17:10:06 - 2:26:18 - 124000 - Discriminator loss: 0.3418 - 4852 samples/s | |
INFO - 03/21/18 17:10:08 - 2:26:20 - 128000 - Discriminator loss: 0.3417 - 3443 samples/s | |
INFO - 03/21/18 17:10:10 - 2:26:22 - 132000 - Discriminator loss: 0.3418 - 4933 samples/s | |
INFO - 03/21/18 17:10:12 - 2:26:23 - 136000 - Discriminator loss: 0.3418 - 5126 samples/s | |
INFO - 03/21/18 17:10:14 - 2:26:26 - 140000 - Discriminator loss: 0.3419 - 3072 samples/s | |
INFO - 03/21/18 17:10:16 - 2:26:28 - 144000 - Discriminator loss: 0.3418 - 3434 samples/s | |
INFO - 03/21/18 17:10:19 - 2:26:30 - 148000 - Discriminator loss: 0.3416 - 3491 samples/s | |
INFO - 03/21/18 17:10:21 - 2:26:32 - 152000 - Discriminator loss: 0.3415 - 3965 samples/s | |
INFO - 03/21/18 17:10:23 - 2:26:35 - 156000 - Discriminator loss: 0.3419 - 3209 samples/s | |
INFO - 03/21/18 17:10:26 - 2:26:37 - 160000 - Discriminator loss: 0.3417 - 3286 samples/s | |
INFO - 03/21/18 17:10:28 - 2:26:40 - 164000 - Discriminator loss: 0.3416 - 3758 samples/s | |
INFO - 03/21/18 17:10:30 - 2:26:42 - 168000 - Discriminator loss: 0.3418 - 3592 samples/s | |
INFO - 03/21/18 17:10:33 - 2:26:44 - 172000 - Discriminator loss: 0.3414 - 3215 samples/s | |
INFO - 03/21/18 17:10:35 - 2:26:47 - 176000 - Discriminator loss: 0.3414 - 3301 samples/s | |
INFO - 03/21/18 17:10:37 - 2:26:49 - 180000 - Discriminator loss: 0.3417 - 4167 samples/s | |
INFO - 03/21/18 17:10:39 - 2:26:50 - 184000 - Discriminator loss: 0.3415 - 4855 samples/s | |
INFO - 03/21/18 17:10:41 - 2:26:52 - 188000 - Discriminator loss: 0.3418 - 3821 samples/s | |
INFO - 03/21/18 17:10:42 - 2:26:54 - 192000 - Discriminator loss: 0.3415 - 4569 samples/s | |
INFO - 03/21/18 17:10:44 - 2:26:55 - 196000 - Discriminator loss: 0.3410 - 5851 samples/s | |
INFO - 03/21/18 17:10:46 - 2:26:58 - 200000 - Discriminator loss: 0.3412 - 3846 samples/s | |
INFO - 03/21/18 17:10:48 - 2:26:59 - 204000 - Discriminator loss: 0.3412 - 4302 samples/s | |
INFO - 03/21/18 17:10:50 - 2:27:01 - 208000 - Discriminator loss: 0.3415 - 4090 samples/s | |
INFO - 03/21/18 17:10:52 - 2:27:03 - 212000 - Discriminator loss: 0.3416 - 4179 samples/s | |
INFO - 03/21/18 17:10:53 - 2:27:05 - 216000 - Discriminator loss: 0.3415 - 4382 samples/s | |
INFO - 03/21/18 17:10:55 - 2:27:07 - 220000 - Discriminator loss: 0.3414 - 5384 samples/s | |
INFO - 03/21/18 17:10:57 - 2:27:09 - 224000 - Discriminator loss: 0.3417 - 4070 samples/s | |
INFO - 03/21/18 17:10:59 - 2:27:10 - 228000 - Discriminator loss: 0.3417 - 4176 samples/s | |
INFO - 03/21/18 17:11:01 - 2:27:13 - 232000 - Discriminator loss: 0.3416 - 3129 samples/s | |
INFO - 03/21/18 17:11:04 - 2:27:15 - 236000 - Discriminator loss: 0.3420 - 3483 samples/s | |
INFO - 03/21/18 17:11:06 - 2:27:18 - 240000 - Discriminator loss: 0.3415 - 3584 samples/s | |
INFO - 03/21/18 17:11:08 - 2:27:19 - 244000 - Discriminator loss: 0.3418 - 4185 samples/s | |
INFO - 03/21/18 17:11:10 - 2:27:21 - 248000 - Discriminator loss: 0.3418 - 4491 samples/s | |
INFO - 03/21/18 17:11:11 - 2:27:23 - 252000 - Discriminator loss: 0.3419 - 5550 samples/s | |
INFO - 03/21/18 17:11:13 - 2:27:24 - 256000 - Discriminator loss: 0.3413 - 4819 samples/s | |
INFO - 03/21/18 17:11:14 - 2:27:26 - 260000 - Discriminator loss: 0.3417 - 4718 samples/s | |
INFO - 03/21/18 17:11:17 - 2:27:29 - 264000 - Discriminator loss: 0.3413 - 3237 samples/s | |
INFO - 03/21/18 17:11:19 - 2:27:31 - 268000 - Discriminator loss: 0.3411 - 3284 samples/s | |
INFO - 03/21/18 17:11:21 - 2:27:33 - 272000 - Discriminator loss: 0.3414 - 4928 samples/s | |
INFO - 03/21/18 17:11:22 - 2:27:34 - 276000 - Discriminator loss: 0.3412 - 5656 samples/s | |
INFO - 03/21/18 17:11:24 - 2:27:36 - 280000 - Discriminator loss: 0.3414 - 3660 samples/s | |
INFO - 03/21/18 17:11:26 - 2:27:38 - 284000 - Discriminator loss: 0.3419 - 4464 samples/s | |
INFO - 03/21/18 17:11:28 - 2:27:40 - 288000 - Discriminator loss: 0.3412 - 4831 samples/s | |
INFO - 03/21/18 17:11:30 - 2:27:42 - 292000 - Discriminator loss: 0.3413 - 4060 samples/s | |
INFO - 03/21/18 17:11:32 - 2:27:44 - 296000 - Discriminator loss: 0.3416 - 3573 samples/s | |
INFO - 03/21/18 17:11:34 - 2:27:46 - 300000 - Discriminator loss: 0.3415 - 3944 samples/s | |
INFO - 03/21/18 17:11:37 - 2:27:48 - 304000 - Discriminator loss: 0.3415 - 3194 samples/s | |
INFO - 03/21/18 17:11:39 - 2:27:51 - 308000 - Discriminator loss: 0.3414 - 3430 samples/s | |
INFO - 03/21/18 17:11:42 - 2:27:53 - 312000 - Discriminator loss: 0.3412 - 2953 samples/s | |
INFO - 03/21/18 17:11:44 - 2:27:55 - 316000 - Discriminator loss: 0.3417 - 3831 samples/s | |
INFO - 03/21/18 17:11:46 - 2:27:57 - 320000 - Discriminator loss: 0.3417 - 4108 samples/s | |
INFO - 03/21/18 17:11:48 - 2:27:59 - 324000 - Discriminator loss: 0.3416 - 4108 samples/s | |
INFO - 03/21/18 17:11:49 - 2:28:01 - 328000 - Discriminator loss: 0.3416 - 4628 samples/s | |
INFO - 03/21/18 17:11:51 - 2:28:03 - 332000 - Discriminator loss: 0.3418 - 4913 samples/s | |
INFO - 03/21/18 17:11:53 - 2:28:05 - 336000 - Discriminator loss: 0.3420 - 4372 samples/s | |
INFO - 03/21/18 17:11:55 - 2:28:07 - 340000 - Discriminator loss: 0.3415 - 3629 samples/s | |
INFO - 03/21/18 17:11:58 - 2:28:09 - 344000 - Discriminator loss: 0.3417 - 3205 samples/s | |
INFO - 03/21/18 17:11:59 - 2:28:11 - 348000 - Discriminator loss: 0.3416 - 5914 samples/s | |
INFO - 03/21/18 17:12:01 - 2:28:13 - 352000 - Discriminator loss: 0.3413 - 3907 samples/s | |
INFO - 03/21/18 17:12:03 - 2:28:15 - 356000 - Discriminator loss: 0.3417 - 3402 samples/s | |
INFO - 03/21/18 17:12:05 - 2:28:17 - 360000 - Discriminator loss: 0.3416 - 4906 samples/s | |
INFO - 03/21/18 17:12:08 - 2:28:19 - 364000 - Discriminator loss: 0.3417 - 2982 samples/s | |
INFO - 03/21/18 17:12:10 - 2:28:21 - 368000 - Discriminator loss: 0.3414 - 3875 samples/s | |
INFO - 03/21/18 17:12:12 - 2:28:23 - 372000 - Discriminator loss: 0.3413 - 4060 samples/s | |
INFO - 03/21/18 17:12:14 - 2:28:26 - 376000 - Discriminator loss: 0.3413 - 3007 samples/s | |
INFO - 03/21/18 17:12:16 - 2:28:28 - 380000 - Discriminator loss: 0.3415 - 4054 samples/s | |
INFO - 03/21/18 17:12:18 - 2:28:30 - 384000 - Discriminator loss: 0.3412 - 4046 samples/s | |
INFO - 03/21/18 17:12:20 - 2:28:32 - 388000 - Discriminator loss: 0.3415 - 4687 samples/s | |
INFO - 03/21/18 17:12:22 - 2:28:34 - 392000 - Discriminator loss: 0.3413 - 3365 samples/s | |
INFO - 03/21/18 17:12:25 - 2:28:37 - 396000 - Discriminator loss: 0.3413 - 3224 samples/s | |
INFO - 03/21/18 17:12:27 - 2:28:39 - 400000 - Discriminator loss: 0.3414 - 3908 samples/s | |
INFO - 03/21/18 17:12:30 - 2:28:41 - 404000 - Discriminator loss: 0.3417 - 2860 samples/s | |
INFO - 03/21/18 17:12:32 - 2:28:43 - 408000 - Discriminator loss: 0.3414 - 3845 samples/s | |
INFO - 03/21/18 17:12:34 - 2:28:45 - 412000 - Discriminator loss: 0.3413 - 4474 samples/s | |
INFO - 03/21/18 17:12:36 - 2:28:48 - 416000 - Discriminator loss: 0.3416 - 3500 samples/s | |
INFO - 03/21/18 17:12:38 - 2:28:50 - 420000 - Discriminator loss: 0.3415 - 4092 samples/s | |
INFO - 03/21/18 17:12:40 - 2:28:52 - 424000 - Discriminator loss: 0.3415 - 3689 samples/s | |
INFO - 03/21/18 17:12:42 - 2:28:54 - 428000 - Discriminator loss: 0.3418 - 3405 samples/s | |
INFO - 03/21/18 17:12:44 - 2:28:56 - 432000 - Discriminator loss: 0.3413 - 5089 samples/s | |
INFO - 03/21/18 17:12:46 - 2:28:58 - 436000 - Discriminator loss: 0.3414 - 3714 samples/s | |
INFO - 03/21/18 17:12:48 - 2:29:00 - 440000 - Discriminator loss: 0.3414 - 4532 samples/s | |
INFO - 03/21/18 17:12:50 - 2:29:02 - 444000 - Discriminator loss: 0.3412 - 3512 samples/s | |
INFO - 03/21/18 17:12:52 - 2:29:04 - 448000 - Discriminator loss: 0.3412 - 3653 samples/s | |
INFO - 03/21/18 17:12:55 - 2:29:06 - 452000 - Discriminator loss: 0.3413 - 3592 samples/s | |
INFO - 03/21/18 17:12:57 - 2:29:08 - 456000 - Discriminator loss: 0.3413 - 3957 samples/s | |
INFO - 03/21/18 17:12:59 - 2:29:11 - 460000 - Discriminator loss: 0.3412 - 2909 samples/s | |
INFO - 03/21/18 17:13:01 - 2:29:13 - 464000 - Discriminator loss: 0.3408 - 3708 samples/s | |
INFO - 03/21/18 17:13:03 - 2:29:15 - 468000 - Discriminator loss: 0.3411 - 4182 samples/s | |
INFO - 03/21/18 17:13:06 - 2:29:17 - 472000 - Discriminator loss: 0.3413 - 3519 samples/s | |
INFO - 03/21/18 17:13:08 - 2:29:19 - 476000 - Discriminator loss: 0.3411 - 3811 samples/s | |
INFO - 03/21/18 17:13:10 - 2:29:21 - 480000 - Discriminator loss: 0.3411 - 3968 samples/s | |
INFO - 03/21/18 17:13:12 - 2:29:23 - 484000 - Discriminator loss: 0.3412 - 4273 samples/s | |
INFO - 03/21/18 17:13:14 - 2:29:26 - 488000 - Discriminator loss: 0.3413 - 3124 samples/s | |
INFO - 03/21/18 17:13:16 - 2:29:28 - 492000 - Discriminator loss: 0.3414 - 4178 samples/s | |
INFO - 03/21/18 17:13:18 - 2:29:30 - 496000 - Discriminator loss: 0.3411 - 3421 samples/s | |
INFO - 03/21/18 17:13:21 - 2:29:32 - 500000 - Discriminator loss: 0.3416 - 3461 samples/s | |
INFO - 03/21/18 17:13:23 - 2:29:34 - 504000 - Discriminator loss: 0.3415 - 4419 samples/s | |
INFO - 03/21/18 17:13:24 - 2:29:36 - 508000 - Discriminator loss: 0.3412 - 4678 samples/s | |
INFO - 03/21/18 17:13:27 - 2:29:38 - 512000 - Discriminator loss: 0.3410 - 3443 samples/s | |
INFO - 03/21/18 17:13:29 - 2:29:40 - 516000 - Discriminator loss: 0.3411 - 3853 samples/s | |
INFO - 03/21/18 17:13:31 - 2:29:42 - 520000 - Discriminator loss: 0.3410 - 3998 samples/s | |
INFO - 03/21/18 17:13:33 - 2:29:44 - 524000 - Discriminator loss: 0.3409 - 3954 samples/s | |
INFO - 03/21/18 17:13:35 - 2:29:46 - 528000 - Discriminator loss: 0.3409 - 4029 samples/s | |
INFO - 03/21/18 17:13:36 - 2:29:48 - 532000 - Discriminator loss: 0.3412 - 4525 samples/s | |
INFO - 03/21/18 17:13:38 - 2:29:50 - 536000 - Discriminator loss: 0.3411 - 4780 samples/s | |
INFO - 03/21/18 17:13:41 - 2:29:53 - 540000 - Discriminator loss: 0.3410 - 2847 samples/s | |
INFO - 03/21/18 17:13:43 - 2:29:55 - 544000 - Discriminator loss: 0.3404 - 3230 samples/s | |
INFO - 03/21/18 17:13:45 - 2:29:57 - 548000 - Discriminator loss: 0.3409 - 4220 samples/s | |
INFO - 03/21/18 17:13:47 - 2:29:59 - 552000 - Discriminator loss: 0.3411 - 4007 samples/s | |
INFO - 03/21/18 17:13:49 - 2:30:00 - 556000 - Discriminator loss: 0.3409 - 5672 samples/s | |
INFO - 03/21/18 17:13:51 - 2:30:02 - 560000 - Discriminator loss: 0.3412 - 4146 samples/s | |
INFO - 03/21/18 17:13:53 - 2:30:04 - 564000 - Discriminator loss: 0.3409 - 3948 samples/s | |
INFO - 03/21/18 17:13:55 - 2:30:06 - 568000 - Discriminator loss: 0.3407 - 3848 samples/s | |
INFO - 03/21/18 17:13:56 - 2:30:08 - 572000 - Discriminator loss: 0.3407 - 4772 samples/s | |
INFO - 03/21/18 17:13:59 - 2:30:10 - 576000 - Discriminator loss: 0.3408 - 3395 samples/s | |
INFO - 03/21/18 17:14:01 - 2:30:13 - 580000 - Discriminator loss: 0.3405 - 3611 samples/s | |
INFO - 03/21/18 17:14:04 - 2:30:15 - 584000 - Discriminator loss: 0.3409 - 3027 samples/s | |
INFO - 03/21/18 17:14:06 - 2:30:17 - 588000 - Discriminator loss: 0.3409 - 4036 samples/s | |
INFO - 03/21/18 17:14:08 - 2:30:19 - 592000 - Discriminator loss: 0.3406 - 4252 samples/s | |
INFO - 03/21/18 17:14:10 - 2:30:21 - 596000 - Discriminator loss: 0.3408 - 3831 samples/s | |
INFO - 03/21/18 17:14:11 - 2:30:23 - 600000 - Discriminator loss: 0.3407 - 4641 samples/s | |
INFO - 03/21/18 17:14:13 - 2:30:25 - 604000 - Discriminator loss: 0.3411 - 5146 samples/s | |
INFO - 03/21/18 17:14:15 - 2:30:26 - 608000 - Discriminator loss: 0.3408 - 4207 samples/s | |
INFO - 03/21/18 17:14:17 - 2:30:28 - 612000 - Discriminator loss: 0.3405 - 4485 samples/s | |
INFO - 03/21/18 17:14:18 - 2:30:30 - 616000 - Discriminator loss: 0.3410 - 4168 samples/s | |
INFO - 03/21/18 17:14:21 - 2:30:32 - 620000 - Discriminator loss: 0.3411 - 3721 samples/s | |
INFO - 03/21/18 17:14:23 - 2:30:35 - 624000 - Discriminator loss: 0.3408 - 3204 samples/s | |
INFO - 03/21/18 17:14:25 - 2:30:37 - 628000 - Discriminator loss: 0.3413 - 3473 samples/s | |
INFO - 03/21/18 17:14:28 - 2:30:40 - 632000 - Discriminator loss: 0.3409 - 3233 samples/s | |
INFO - 03/21/18 17:14:30 - 2:30:41 - 636000 - Discriminator loss: 0.3413 - 4277 samples/s | |
INFO - 03/21/18 17:14:32 - 2:30:43 - 640000 - Discriminator loss: 0.3414 - 4484 samples/s | |
INFO - 03/21/18 17:14:33 - 2:30:45 - 644000 - Discriminator loss: 0.3411 - 5570 samples/s | |
INFO - 03/21/18 17:14:36 - 2:30:47 - 648000 - Discriminator loss: 0.3410 - 3212 samples/s | |
INFO - 03/21/18 17:14:38 - 2:30:50 - 652000 - Discriminator loss: 0.3414 - 3305 samples/s | |
INFO - 03/21/18 17:14:40 - 2:30:52 - 656000 - Discriminator loss: 0.3415 - 3643 samples/s | |
INFO - 03/21/18 17:14:42 - 2:30:53 - 660000 - Discriminator loss: 0.3413 - 4860 samples/s | |
INFO - 03/21/18 17:14:44 - 2:30:56 - 664000 - Discriminator loss: 0.3411 - 3582 samples/s | |
INFO - 03/21/18 17:14:46 - 2:30:58 - 668000 - Discriminator loss: 0.3412 - 3928 samples/s | |
INFO - 03/21/18 17:14:48 - 2:30:59 - 672000 - Discriminator loss: 0.3414 - 4682 samples/s | |
INFO - 03/21/18 17:14:49 - 2:31:01 - 676000 - Discriminator loss: 0.3415 - 4890 samples/s | |
INFO - 03/21/18 17:14:51 - 2:31:03 - 680000 - Discriminator loss: 0.3415 - 5015 samples/s | |
INFO - 03/21/18 17:14:53 - 2:31:05 - 684000 - Discriminator loss: 0.3412 - 3822 samples/s | |
INFO - 03/21/18 17:14:55 - 2:31:07 - 688000 - Discriminator loss: 0.3414 - 4112 samples/s | |
INFO - 03/21/18 17:14:57 - 2:31:09 - 692000 - Discriminator loss: 0.3413 - 3778 samples/s | |
INFO - 03/21/18 17:14:59 - 2:31:10 - 696000 - Discriminator loss: 0.3411 - 5063 samples/s | |
INFO - 03/21/18 17:15:00 - 2:31:12 - 700000 - Discriminator loss: 0.3411 - 5681 samples/s | |
INFO - 03/21/18 17:15:02 - 2:31:13 - 704000 - Discriminator loss: 0.3413 - 5113 samples/s | |
INFO - 03/21/18 17:15:04 - 2:31:16 - 708000 - Discriminator loss: 0.3412 - 3407 samples/s | |
INFO - 03/21/18 17:15:06 - 2:31:17 - 712000 - Discriminator loss: 0.3414 - 5161 samples/s | |
INFO - 03/21/18 17:15:08 - 2:31:19 - 716000 - Discriminator loss: 0.3412 - 3990 samples/s | |
INFO - 03/21/18 17:15:10 - 2:31:22 - 720000 - Discriminator loss: 0.3410 - 3481 samples/s | |
INFO - 03/21/18 17:15:12 - 2:31:24 - 724000 - Discriminator loss: 0.3411 - 3392 samples/s | |
INFO - 03/21/18 17:15:14 - 2:31:26 - 728000 - Discriminator loss: 0.3409 - 3640 samples/s | |
INFO - 03/21/18 17:15:16 - 2:31:28 - 732000 - Discriminator loss: 0.3411 - 4204 samples/s | |
INFO - 03/21/18 17:15:18 - 2:31:30 - 736000 - Discriminator loss: 0.3412 - 4648 samples/s | |
INFO - 03/21/18 17:15:20 - 2:31:31 - 740000 - Discriminator loss: 0.3416 - 4778 samples/s | |
INFO - 03/21/18 17:15:22 - 2:31:34 - 744000 - Discriminator loss: 0.3414 - 3478 samples/s | |
INFO - 03/21/18 17:15:24 - 2:31:36 - 748000 - Discriminator loss: 0.3415 - 3543 samples/s | |
INFO - 03/21/18 17:15:26 - 2:31:38 - 752000 - Discriminator loss: 0.3413 - 3990 samples/s | |
INFO - 03/21/18 17:15:28 - 2:31:40 - 756000 - Discriminator loss: 0.3413 - 3997 samples/s | |
INFO - 03/21/18 17:15:30 - 2:31:42 - 760000 - Discriminator loss: 0.3408 - 4728 samples/s | |
INFO - 03/21/18 17:15:33 - 2:31:45 - 764000 - Discriminator loss: 0.3411 - 2830 samples/s | |
INFO - 03/21/18 17:15:35 - 2:31:47 - 768000 - Discriminator loss: 0.3409 - 3133 samples/s | |
INFO - 03/21/18 17:15:37 - 2:31:49 - 772000 - Discriminator loss: 0.3409 - 3838 samples/s | |
INFO - 03/21/18 17:15:40 - 2:31:51 - 776000 - Discriminator loss: 0.3411 - 3576 samples/s | |
INFO - 03/21/18 17:15:42 - 2:31:53 - 780000 - Discriminator loss: 0.3411 - 3947 samples/s | |
INFO - 03/21/18 17:15:44 - 2:31:56 - 784000 - Discriminator loss: 0.3412 - 3015 samples/s | |
INFO - 03/21/18 17:15:46 - 2:31:58 - 788000 - Discriminator loss: 0.3410 - 4114 samples/s | |
INFO - 03/21/18 17:15:48 - 2:32:00 - 792000 - Discriminator loss: 0.3412 - 4425 samples/s | |
INFO - 03/21/18 17:15:50 - 2:32:02 - 796000 - Discriminator loss: 0.3410 - 3519 samples/s | |
INFO - 03/21/18 17:15:52 - 2:32:04 - 800000 - Discriminator loss: 0.3413 - 4875 samples/s | |
INFO - 03/21/18 17:15:54 - 2:32:05 - 804000 - Discriminator loss: 0.3412 - 4912 samples/s | |
INFO - 03/21/18 17:15:56 - 2:32:07 - 808000 - Discriminator loss: 0.3411 - 4239 samples/s | |
INFO - 03/21/18 17:15:58 - 2:32:09 - 812000 - Discriminator loss: 0.3410 - 3671 samples/s | |
INFO - 03/21/18 17:15:59 - 2:32:11 - 816000 - Discriminator loss: 0.3409 - 5273 samples/s | |
INFO - 03/21/18 17:16:02 - 2:32:13 - 820000 - Discriminator loss: 0.3411 - 3454 samples/s | |
INFO - 03/21/18 17:16:04 - 2:32:16 - 824000 - Discriminator loss: 0.3410 - 3222 samples/s | |
INFO - 03/21/18 17:16:06 - 2:32:18 - 828000 - Discriminator loss: 0.3409 - 3556 samples/s | |
INFO - 03/21/18 17:16:09 - 2:32:20 - 832000 - Discriminator loss: 0.3409 - 3514 samples/s | |
INFO - 03/21/18 17:16:11 - 2:32:23 - 836000 - Discriminator loss: 0.3409 - 3424 samples/s | |
INFO - 03/21/18 17:16:13 - 2:32:25 - 840000 - Discriminator loss: 0.3408 - 3569 samples/s | |
INFO - 03/21/18 17:16:16 - 2:32:27 - 844000 - Discriminator loss: 0.3408 - 3374 samples/s | |
INFO - 03/21/18 17:16:18 - 2:32:30 - 848000 - Discriminator loss: 0.3407 - 2724 samples/s | |
INFO - 03/21/18 17:16:21 - 2:32:33 - 852000 - Discriminator loss: 0.3413 - 3040 samples/s | |
INFO - 03/21/18 17:16:23 - 2:32:35 - 856000 - Discriminator loss: 0.3408 - 3801 samples/s | |
INFO - 03/21/18 17:16:26 - 2:32:37 - 860000 - Discriminator loss: 0.3408 - 3342 samples/s | |
INFO - 03/21/18 17:16:28 - 2:32:40 - 864000 - Discriminator loss: 0.3411 - 3131 samples/s | |
INFO - 03/21/18 17:16:30 - 2:32:42 - 868000 - Discriminator loss: 0.3411 - 3959 samples/s | |
INFO - 03/21/18 17:16:32 - 2:32:43 - 872000 - Discriminator loss: 0.3409 - 5235 samples/s | |
INFO - 03/21/18 17:16:34 - 2:32:45 - 876000 - Discriminator loss: 0.3408 - 3804 samples/s | |
INFO - 03/21/18 17:16:35 - 2:32:47 - 880000 - Discriminator loss: 0.3409 - 5405 samples/s | |
INFO - 03/21/18 17:16:38 - 2:32:49 - 884000 - Discriminator loss: 0.3411 - 3385 samples/s | |
INFO - 03/21/18 17:16:40 - 2:32:52 - 888000 - Discriminator loss: 0.3412 - 3314 samples/s | |
INFO - 03/21/18 17:16:43 - 2:32:54 - 892000 - Discriminator loss: 0.3409 - 3267 samples/s | |
INFO - 03/21/18 17:16:45 - 2:32:56 - 896000 - Discriminator loss: 0.3413 - 3671 samples/s | |
INFO - 03/21/18 17:16:47 - 2:32:58 - 900000 - Discriminator loss: 0.3412 - 4171 samples/s | |
INFO - 03/21/18 17:16:48 - 2:33:00 - 904000 - Discriminator loss: 0.3413 - 5860 samples/s | |
INFO - 03/21/18 17:16:50 - 2:33:01 - 908000 - Discriminator loss: 0.3415 - 5231 samples/s | |
INFO - 03/21/18 17:16:51 - 2:33:03 - 912000 - Discriminator loss: 0.3415 - 4392 samples/s | |
INFO - 03/21/18 17:16:53 - 2:33:05 - 916000 - Discriminator loss: 0.3415 - 4569 samples/s | |
INFO - 03/21/18 17:16:55 - 2:33:07 - 920000 - Discriminator loss: 0.3413 - 3841 samples/s | |
INFO - 03/21/18 17:16:57 - 2:33:09 - 924000 - Discriminator loss: 0.3413 - 3954 samples/s | |
INFO - 03/21/18 17:16:59 - 2:33:11 - 928000 - Discriminator loss: 0.3414 - 3808 samples/s | |
INFO - 03/21/18 17:17:02 - 2:33:14 - 932000 - Discriminator loss: 0.3417 - 3037 samples/s | |
INFO - 03/21/18 17:17:04 - 2:33:16 - 936000 - Discriminator loss: 0.3416 - 3816 samples/s | |
INFO - 03/21/18 17:17:06 - 2:33:18 - 940000 - Discriminator loss: 0.3413 - 4003 samples/s | |
INFO - 03/21/18 17:17:08 - 2:33:20 - 944000 - Discriminator loss: 0.3418 - 3441 samples/s | |
INFO - 03/21/18 17:17:10 - 2:33:22 - 948000 - Discriminator loss: 0.3416 - 4203 samples/s | |
INFO - 03/21/18 17:17:12 - 2:33:24 - 952000 - Discriminator loss: 0.3418 - 3936 samples/s | |
INFO - 03/21/18 17:17:15 - 2:33:26 - 956000 - Discriminator loss: 0.3420 - 3507 samples/s | |
INFO - 03/21/18 17:17:16 - 2:33:28 - 960000 - Discriminator loss: 0.3421 - 4488 samples/s | |
INFO - 03/21/18 17:17:18 - 2:33:30 - 964000 - Discriminator loss: 0.3418 - 4717 samples/s | |
INFO - 03/21/18 17:17:20 - 2:33:31 - 968000 - Discriminator loss: 0.3417 - 5234 samples/s | |
INFO - 03/21/18 17:17:22 - 2:33:33 - 972000 - Discriminator loss: 0.3415 - 3894 samples/s | |
INFO - 03/21/18 17:17:24 - 2:33:35 - 976000 - Discriminator loss: 0.3415 - 3698 samples/s | |
INFO - 03/21/18 17:17:26 - 2:33:38 - 980000 - Discriminator loss: 0.3415 - 3665 samples/s | |
INFO - 03/21/18 17:17:28 - 2:33:40 - 984000 - Discriminator loss: 0.3412 - 4069 samples/s | |
INFO - 03/21/18 17:17:30 - 2:33:42 - 988000 - Discriminator loss: 0.3412 - 3162 samples/s | |
INFO - 03/21/18 17:17:32 - 2:33:44 - 992000 - Discriminator loss: 0.3412 - 4432 samples/s | |
INFO - 03/21/18 17:17:35 - 2:33:46 - 996000 - Discriminator loss: 0.3410 - 3508 samples/s | |
INFO - 03/21/18 17:17:37 - 2:33:48 - ==================================================================== | |
INFO - 03/21/18 17:17:37 - 2:33:48 - Dataset Found Not found Rho | |
INFO - 03/21/18 17:17:37 - 2:33:48 - ==================================================================== | |
INFO - 03/21/18 17:17:37 - 2:33:48 - DE_GUR350 268 82 0.5936 | |
INFO - 03/21/18 17:17:37 - 2:33:48 - DE_GUR65 64 1 0.7879 | |
INFO - 03/21/18 17:17:37 - 2:33:49 - DE_SIMLEX-999 956 43 0.3479 | |
INFO - 03/21/18 17:17:37 - 2:33:49 - DE_WS-353 342 8 0.6426 | |
INFO - 03/21/18 17:17:37 - 2:33:49 - DE_ZG222 154 68 0.3291 | |
INFO - 03/21/18 17:17:37 - 2:33:49 - DE_SEMEVAL17 372 74 0.7340 | |
INFO - 03/21/18 17:17:37 - 2:33:49 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:49 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:49 - Dataset Found Not found Rho | |
INFO - 03/21/18 17:17:38 - 2:33:49 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_MC-30 30 0 0.8123 | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_MTurk-287 286 1 0.6773 | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_RG-65 65 0 0.7974 | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_VERB-143 144 0 0.3973 | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_WS-353-REL 252 0 0.6820 | |
INFO - 03/21/18 17:17:38 - 2:33:49 - EN_YP-130 130 0 0.5333 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_MEN-TR-3k 3000 0 0.7637 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_MTurk-771 771 0 0.6689 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_RW-STANFORD 1323 711 0.5080 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_SIMLEX-999 998 1 0.3823 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_WS-353-ALL 353 0 0.7388 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_WS-353-SIM 203 0 0.7811 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - EN_SEMEVAL17 379 9 0.7216 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Monolingual source word similarity score average: 0.57251 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Monolingual target word similarity score average: 0.65108 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Monolingual word similarity score average: 0.61180 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Dataset Found Not found Rho | |
INFO - 03/21/18 17:17:38 - 2:33:50 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:50 - DE_EN_SEMEVAL17 683 72 0.0241 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - ==================================================================== | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Cross-lingual word similarity score average: 0.02408 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 17:17:38 - 2:33:50 - 1500 source words - nn - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 17:17:38 - 2:33:50 - 1500 source words - nn - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 17:17:39 - 2:33:50 - 1500 source words - nn - Precision at k = 10: 0.000000 | |
INFO - 03/21/18 17:17:39 - 2:33:50 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 17:34:33 - 2:50:45 - 1500 source words - csls_knn_10 - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 17:34:33 - 2:50:45 - 1500 source words - csls_knn_10 - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 17:34:33 - 2:50:45 - 1500 source words - csls_knn_10 - Precision at k = 10: 0.000000 | |
INFO - 03/21/18 17:34:40 - 2:50:52 - Building the train dictionary ... | |
INFO - 03/21/18 17:34:40 - 2:50:52 - New train dictionary of 1154 pairs. | |
INFO - 03/21/18 17:34:40 - 2:50:52 - Mean cosine (nn method, S2T build, 10000 max size): 0.54663 | |
INFO - 03/21/18 18:05:53 - 3:22:05 - Building the train dictionary ... | |
INFO - 03/21/18 18:05:53 - 3:22:05 - New train dictionary of 853 pairs. | |
INFO - 03/21/18 18:05:53 - 3:22:05 - Mean cosine (csls_knn_10 method, S2T build, 10000 max size): 0.48157 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Discriminator source / target predictions: 0.86983 / 0.18838 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Discriminator source / target / global accuracy: 0.99863 / 0.89851 / 0.94857 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - __log__:{"n_epoch": 3, "src_ws_monolingual_scores": 0.5725059123412879, "src_DE_GUR350": 0.5935663830787264, "src_DE_GUR65": 0.787933049249116, "src_DE_SIMLEX-999": 0.34793058040282254, "src_DE_WS-353": 0.6425905826565341, "src_DE_ZG222": 0.3290555868026855, "src_DE_SEMEVAL17": 0.7339592918578428, "tgt_ws_monolingual_scores": 0.6510844458154897, "tgt_EN_MC-30": 0.8122844560731877, "tgt_EN_MTurk-287": 0.6773484753662096, "tgt_EN_RG-65": 0.7974341920962535, "tgt_EN_VERB-143": 0.39730727587681697, "tgt_EN_WS-353-REL": 0.6820189571624744, "tgt_EN_YP-130": 0.5332791408572926, "tgt_EN_MEN-TR-3k": 0.7636758268962788, "tgt_EN_MTurk-771": 0.6689253094490287, "tgt_EN_RW-STANFORD": 0.5080076589673553, "tgt_EN_SIMLEX-999": 0.3822891920029773, "tgt_EN_WS-353-ALL": 0.7388081960366618, "tgt_EN_WS-353-SIM": 0.7811195898733946, "tgt_EN_SEMEVAL17": 0.7215995249434355, "ws_monolingual_scores": 0.6117951790783889, "ws_crosslingual_scores": 0.02407526244800864, "src_tgt_DE_EN_SEMEVAL17": 0.02407526244800864, "precision_at_1-nn": 0.0, "precision_at_5-nn": 0.0, "precision_at_10-nn": 0.0, "precision_at_1-csls_knn_10": 0.0, "precision_at_5-csls_knn_10": 0.0, "precision_at_10-csls_knn_10": 0.0, "mean_cosine-nn-S2T-10000": 0.5466327667236328, "mean_cosine-csls_knn_10-S2T-10000": 0.481567919254303, "dis_accu": 0.9485725, "dis_src_pred": 0.8698290824398398, "dis_tgt_pred": 0.1883807051312132} | |
INFO - 03/21/18 18:05:55 - 3:22:07 - End of epoch 3. | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Decreasing learning rate: 0.04705960 -> 0.04611841 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Validation metric is smaller than the best: 0.48157 vs 0.59839 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Shrinking the learning rate: 0.04612 -> 0.02306 | |
INFO - 03/21/18 18:05:55 - 3:22:07 - Starting adversarial training epoch 4... | |
INFO - 03/21/18 18:05:55 - 3:22:07 - 000000 - Discriminator loss: 0.3409 - 5842 samples/s | |
INFO - 03/21/18 18:05:57 - 3:22:08 - 004000 - Discriminator loss: 0.3404 - 5569 samples/s | |
INFO - 03/21/18 18:05:58 - 3:22:10 - 008000 - Discriminator loss: 0.3392 - 5602 samples/s | |
INFO - 03/21/18 18:06:00 - 3:22:11 - 012000 - Discriminator loss: 0.3388 - 5105 samples/s | |
INFO - 03/21/18 18:06:01 - 3:22:13 - 016000 - Discriminator loss: 0.3382 - 5494 samples/s | |
INFO - 03/21/18 18:06:02 - 3:22:14 - 020000 - Discriminator loss: 0.3380 - 5953 samples/s | |
INFO - 03/21/18 18:06:04 - 3:22:16 - 024000 - Discriminator loss: 0.3376 - 5548 samples/s | |
INFO - 03/21/18 18:06:05 - 3:22:17 - 028000 - Discriminator loss: 0.3375 - 5694 samples/s | |
INFO - 03/21/18 18:06:07 - 3:22:18 - 032000 - Discriminator loss: 0.3372 - 5727 samples/s | |
INFO - 03/21/18 18:06:08 - 3:22:20 - 036000 - Discriminator loss: 0.3370 - 5669 samples/s | |
INFO - 03/21/18 18:06:10 - 3:22:21 - 040000 - Discriminator loss: 0.3369 - 4937 samples/s | |
INFO - 03/21/18 18:06:11 - 3:22:23 - 044000 - Discriminator loss: 0.3366 - 5873 samples/s | |
INFO - 03/21/18 18:06:13 - 3:22:24 - 048000 - Discriminator loss: 0.3366 - 4682 samples/s | |
INFO - 03/21/18 18:06:14 - 3:22:26 - 052000 - Discriminator loss: 0.3366 - 5772 samples/s | |
INFO - 03/21/18 18:06:16 - 3:22:27 - 056000 - Discriminator loss: 0.3364 - 5502 samples/s | |
INFO - 03/21/18 18:06:17 - 3:22:29 - 060000 - Discriminator loss: 0.3363 - 5284 samples/s | |
INFO - 03/21/18 18:06:19 - 3:22:30 - 064000 - Discriminator loss: 0.3362 - 5526 samples/s | |
INFO - 03/21/18 18:06:20 - 3:22:32 - 068000 - Discriminator loss: 0.3361 - 5601 samples/s | |
INFO - 03/21/18 18:06:22 - 3:22:33 - 072000 - Discriminator loss: 0.3362 - 5453 samples/s | |
INFO - 03/21/18 18:06:23 - 3:22:35 - 076000 - Discriminator loss: 0.3359 - 5516 samples/s | |
INFO - 03/21/18 18:06:24 - 3:22:36 - 080000 - Discriminator loss: 0.3361 - 5249 samples/s | |
INFO - 03/21/18 18:06:26 - 3:22:38 - 084000 - Discriminator loss: 0.3358 - 5542 samples/s | |
INFO - 03/21/18 18:06:27 - 3:22:39 - 088000 - Discriminator loss: 0.3356 - 5218 samples/s | |
INFO - 03/21/18 18:06:30 - 3:22:41 - 092000 - Discriminator loss: 0.3359 - 3915 samples/s | |
INFO - 03/21/18 18:06:31 - 3:22:43 - 096000 - Discriminator loss: 0.3359 - 5828 samples/s | |
INFO - 03/21/18 18:06:32 - 3:22:44 - 100000 - Discriminator loss: 0.3358 - 5712 samples/s | |
INFO - 03/21/18 18:06:34 - 3:22:45 - 104000 - Discriminator loss: 0.3356 - 5499 samples/s | |
INFO - 03/21/18 18:06:35 - 3:22:47 - 108000 - Discriminator loss: 0.3356 - 5242 samples/s | |
INFO - 03/21/18 18:06:37 - 3:22:48 - 112000 - Discriminator loss: 0.3358 - 5849 samples/s | |
INFO - 03/21/18 18:06:38 - 3:22:50 - 116000 - Discriminator loss: 0.3357 - 5979 samples/s | |
INFO - 03/21/18 18:06:39 - 3:22:51 - 120000 - Discriminator loss: 0.3357 - 5958 samples/s | |
INFO - 03/21/18 18:06:41 - 3:22:53 - 124000 - Discriminator loss: 0.3355 - 5123 samples/s | |
INFO - 03/21/18 18:06:42 - 3:22:54 - 128000 - Discriminator loss: 0.3355 - 5076 samples/s | |
INFO - 03/21/18 18:06:44 - 3:22:56 - 132000 - Discriminator loss: 0.3356 - 3935 samples/s | |
INFO - 03/21/18 18:06:46 - 3:22:58 - 136000 - Discriminator loss: 0.3356 - 5838 samples/s | |
INFO - 03/21/18 18:06:47 - 3:22:59 - 140000 - Discriminator loss: 0.3354 - 5544 samples/s | |
INFO - 03/21/18 18:06:49 - 3:23:00 - 144000 - Discriminator loss: 0.3356 - 5431 samples/s | |
INFO - 03/21/18 18:06:50 - 3:23:02 - 148000 - Discriminator loss: 0.3357 - 5185 samples/s | |
INFO - 03/21/18 18:06:52 - 3:23:03 - 152000 - Discriminator loss: 0.3354 - 5510 samples/s | |
INFO - 03/21/18 18:06:53 - 3:23:05 - 156000 - Discriminator loss: 0.3356 - 5637 samples/s | |
INFO - 03/21/18 18:06:55 - 3:23:06 - 160000 - Discriminator loss: 0.3355 - 5444 samples/s | |
INFO - 03/21/18 18:06:56 - 3:23:08 - 164000 - Discriminator loss: 0.3354 - 5168 samples/s | |
INFO - 03/21/18 18:06:58 - 3:23:09 - 168000 - Discriminator loss: 0.3354 - 5583 samples/s | |
INFO - 03/21/18 18:06:59 - 3:23:11 - 172000 - Discriminator loss: 0.3355 - 5837 samples/s | |
INFO - 03/21/18 18:07:00 - 3:23:12 - 176000 - Discriminator loss: 0.3355 - 5473 samples/s | |
INFO - 03/21/18 18:07:02 - 3:23:14 - 180000 - Discriminator loss: 0.3353 - 4827 samples/s | |
INFO - 03/21/18 18:07:04 - 3:23:15 - 184000 - Discriminator loss: 0.3355 - 5632 samples/s | |
INFO - 03/21/18 18:07:05 - 3:23:17 - 188000 - Discriminator loss: 0.3355 - 5775 samples/s | |
INFO - 03/21/18 18:07:06 - 3:23:18 - 192000 - Discriminator loss: 0.3356 - 5920 samples/s | |
INFO - 03/21/18 18:07:08 - 3:23:19 - 196000 - Discriminator loss: 0.3356 - 5691 samples/s | |
INFO - 03/21/18 18:07:09 - 3:23:21 - 200000 - Discriminator loss: 0.3355 - 4546 samples/s | |
INFO - 03/21/18 18:07:11 - 3:23:23 - 204000 - Discriminator loss: 0.3355 - 5481 samples/s | |
INFO - 03/21/18 18:07:12 - 3:23:24 - 208000 - Discriminator loss: 0.3355 - 5177 samples/s | |
INFO - 03/21/18 18:07:14 - 3:23:26 - 212000 - Discriminator loss: 0.3356 - 5733 samples/s | |
INFO - 03/21/18 18:07:15 - 3:23:27 - 216000 - Discriminator loss: 0.3353 - 5249 samples/s | |
INFO - 03/21/18 18:07:17 - 3:23:29 - 220000 - Discriminator loss: 0.3353 - 5322 samples/s | |
INFO - 03/21/18 18:07:18 - 3:23:30 - 224000 - Discriminator loss: 0.3353 - 5811 samples/s | |
INFO - 03/21/18 18:07:20 - 3:23:31 - 228000 - Discriminator loss: 0.3351 - 5207 samples/s | |
INFO - 03/21/18 18:07:22 - 3:23:33 - 232000 - Discriminator loss: 0.3354 - 4389 samples/s | |
INFO - 03/21/18 18:07:23 - 3:23:35 - 236000 - Discriminator loss: 0.3355 - 5709 samples/s | |
INFO - 03/21/18 18:07:24 - 3:23:36 - 240000 - Discriminator loss: 0.3354 - 5710 samples/s | |
INFO - 03/21/18 18:07:26 - 3:23:37 - 244000 - Discriminator loss: 0.3354 - 5810 samples/s | |
INFO - 03/21/18 18:07:27 - 3:23:39 - 248000 - Discriminator loss: 0.3353 - 5868 samples/s | |
INFO - 03/21/18 18:07:29 - 3:23:40 - 252000 - Discriminator loss: 0.3354 - 5626 samples/s | |
INFO - 03/21/18 18:07:30 - 3:23:42 - 256000 - Discriminator loss: 0.3353 - 5199 samples/s | |
INFO - 03/21/18 18:07:32 - 3:23:43 - 260000 - Discriminator loss: 0.3352 - 4723 samples/s | |
INFO - 03/21/18 18:07:33 - 3:23:45 - 264000 - Discriminator loss: 0.3353 - 4956 samples/s | |
INFO - 03/21/18 18:07:35 - 3:23:47 - 268000 - Discriminator loss: 0.3352 - 4303 samples/s | |
INFO - 03/21/18 18:07:37 - 3:23:48 - 272000 - Discriminator loss: 0.3353 - 5632 samples/s | |
INFO - 03/21/18 18:07:38 - 3:23:50 - 276000 - Discriminator loss: 0.3353 - 5558 samples/s | |
INFO - 03/21/18 18:07:40 - 3:23:51 - 280000 - Discriminator loss: 0.3354 - 5604 samples/s | |
INFO - 03/21/18 18:07:41 - 3:23:53 - 284000 - Discriminator loss: 0.3353 - 4990 samples/s | |
INFO - 03/21/18 18:07:43 - 3:23:54 - 288000 - Discriminator loss: 0.3352 - 5275 samples/s | |
INFO - 03/21/18 18:07:44 - 3:23:56 - 292000 - Discriminator loss: 0.3352 - 5025 samples/s | |
INFO - 03/21/18 18:07:46 - 3:23:57 - 296000 - Discriminator loss: 0.3352 - 5510 samples/s | |
INFO - 03/21/18 18:07:47 - 3:23:59 - 300000 - Discriminator loss: 0.3351 - 5219 samples/s | |
INFO - 03/21/18 18:07:49 - 3:24:00 - 304000 - Discriminator loss: 0.3353 - 5712 samples/s | |
INFO - 03/21/18 18:07:50 - 3:24:02 - 308000 - Discriminator loss: 0.3351 - 5415 samples/s | |
INFO - 03/21/18 18:07:52 - 3:24:03 - 312000 - Discriminator loss: 0.3354 - 5598 samples/s | |
INFO - 03/21/18 18:07:53 - 3:24:05 - 316000 - Discriminator loss: 0.3353 - 5847 samples/s | |
INFO - 03/21/18 18:07:54 - 3:24:06 - 320000 - Discriminator loss: 0.3353 - 5594 samples/s | |
INFO - 03/21/18 18:07:56 - 3:24:07 - 324000 - Discriminator loss: 0.3353 - 5698 samples/s | |
INFO - 03/21/18 18:07:57 - 3:24:09 - 328000 - Discriminator loss: 0.3353 - 4937 samples/s | |
INFO - 03/21/18 18:07:59 - 3:24:11 - 332000 - Discriminator loss: 0.3353 - 4858 samples/s | |
INFO - 03/21/18 18:08:00 - 3:24:12 - 336000 - Discriminator loss: 0.3352 - 5737 samples/s | |
INFO - 03/21/18 18:08:02 - 3:24:14 - 340000 - Discriminator loss: 0.3353 - 5037 samples/s | |
INFO - 03/21/18 18:08:04 - 3:24:15 - 344000 - Discriminator loss: 0.3356 - 5018 samples/s | |
INFO - 03/21/18 18:08:05 - 3:24:17 - 348000 - Discriminator loss: 0.3354 - 5083 samples/s | |
INFO - 03/21/18 18:08:07 - 3:24:18 - 352000 - Discriminator loss: 0.3354 - 5374 samples/s | |
INFO - 03/21/18 18:08:08 - 3:24:20 - 356000 - Discriminator loss: 0.3354 - 5794 samples/s | |
INFO - 03/21/18 18:08:09 - 3:24:21 - 360000 - Discriminator loss: 0.3352 - 5867 samples/s | |
INFO - 03/21/18 18:08:11 - 3:24:23 - 364000 - Discriminator loss: 0.3354 - 5234 samples/s | |
INFO - 03/21/18 18:08:13 - 3:24:24 - 368000 - Discriminator loss: 0.3355 - 4949 samples/s | |
INFO - 03/21/18 18:08:14 - 3:24:26 - 372000 - Discriminator loss: 0.3354 - 4564 samples/s | |
INFO - 03/21/18 18:08:16 - 3:24:28 - 376000 - Discriminator loss: 0.3353 - 5368 samples/s | |
INFO - 03/21/18 18:08:17 - 3:24:29 - 380000 - Discriminator loss: 0.3353 - 5812 samples/s | |
INFO - 03/21/18 18:08:19 - 3:24:30 - 384000 - Discriminator loss: 0.3354 - 5272 samples/s | |
INFO - 03/21/18 18:08:20 - 3:24:32 - 388000 - Discriminator loss: 0.3353 - 5112 samples/s | |
INFO - 03/21/18 18:08:22 - 3:24:34 - 392000 - Discriminator loss: 0.3353 - 4520 samples/s | |
INFO - 03/21/18 18:08:23 - 3:24:35 - 396000 - Discriminator loss: 0.3352 - 5589 samples/s | |
INFO - 03/21/18 18:08:25 - 3:24:37 - 400000 - Discriminator loss: 0.3352 - 5172 samples/s | |
INFO - 03/21/18 18:08:26 - 3:24:38 - 404000 - Discriminator loss: 0.3353 - 5667 samples/s | |
INFO - 03/21/18 18:08:28 - 3:24:40 - 408000 - Discriminator loss: 0.3350 - 5663 samples/s | |
INFO - 03/21/18 18:08:29 - 3:24:41 - 412000 - Discriminator loss: 0.3352 - 5547 samples/s | |
INFO - 03/21/18 18:08:31 - 3:24:43 - 416000 - Discriminator loss: 0.3351 - 5163 samples/s | |
INFO - 03/21/18 18:08:32 - 3:24:44 - 420000 - Discriminator loss: 0.3352 - 4849 samples/s | |
INFO - 03/21/18 18:08:34 - 3:24:46 - 424000 - Discriminator loss: 0.3351 - 5642 samples/s | |
INFO - 03/21/18 18:08:35 - 3:24:47 - 428000 - Discriminator loss: 0.3352 - 5354 samples/s | |
INFO - 03/21/18 18:08:37 - 3:24:49 - 432000 - Discriminator loss: 0.3352 - 5336 samples/s | |
INFO - 03/21/18 18:08:38 - 3:24:50 - 436000 - Discriminator loss: 0.3351 - 5187 samples/s | |
INFO - 03/21/18 18:08:40 - 3:24:52 - 440000 - Discriminator loss: 0.3351 - 4433 samples/s | |
INFO - 03/21/18 18:08:42 - 3:24:53 - 444000 - Discriminator loss: 0.3350 - 5539 samples/s | |
INFO - 03/21/18 18:08:43 - 3:24:55 - 448000 - Discriminator loss: 0.3351 - 5472 samples/s | |
INFO - 03/21/18 18:08:45 - 3:24:56 - 452000 - Discriminator loss: 0.3351 - 5530 samples/s | |
INFO - 03/21/18 18:08:46 - 3:24:58 - 456000 - Discriminator loss: 0.3349 - 5830 samples/s | |
INFO - 03/21/18 18:08:48 - 3:24:59 - 460000 - Discriminator loss: 0.3350 - 5013 samples/s | |
INFO - 03/21/18 18:08:49 - 3:25:01 - 464000 - Discriminator loss: 0.3352 - 5331 samples/s | |
INFO - 03/21/18 18:08:50 - 3:25:02 - 468000 - Discriminator loss: 0.3350 - 5625 samples/s | |
INFO - 03/21/18 18:08:52 - 3:25:04 - 472000 - Discriminator loss: 0.3349 - 5149 samples/s | |
INFO - 03/21/18 18:08:54 - 3:25:05 - 476000 - Discriminator loss: 0.3350 - 5333 samples/s | |
INFO - 03/21/18 18:08:55 - 3:25:07 - 480000 - Discriminator loss: 0.3349 - 5586 samples/s | |
INFO - 03/21/18 18:08:57 - 3:25:08 - 484000 - Discriminator loss: 0.3352 - 5029 samples/s | |
INFO - 03/21/18 18:08:58 - 3:25:10 - 488000 - Discriminator loss: 0.3350 - 4591 samples/s | |
INFO - 03/21/18 18:09:00 - 3:25:11 - 492000 - Discriminator loss: 0.3351 - 5353 samples/s | |
INFO - 03/21/18 18:09:01 - 3:25:13 - 496000 - Discriminator loss: 0.3351 - 5474 samples/s | |
INFO - 03/21/18 18:09:03 - 3:25:14 - 500000 - Discriminator loss: 0.3349 - 5338 samples/s | |
INFO - 03/21/18 18:09:04 - 3:25:16 - 504000 - Discriminator loss: 0.3350 - 5346 samples/s | |
INFO - 03/21/18 18:09:06 - 3:25:17 - 508000 - Discriminator loss: 0.3350 - 5274 samples/s | |
INFO - 03/21/18 18:09:07 - 3:25:19 - 512000 - Discriminator loss: 0.3349 - 5237 samples/s | |
INFO - 03/21/18 18:09:09 - 3:25:20 - 516000 - Discriminator loss: 0.3348 - 5653 samples/s | |
INFO - 03/21/18 18:09:10 - 3:25:22 - 520000 - Discriminator loss: 0.3350 - 5385 samples/s | |
INFO - 03/21/18 18:09:12 - 3:25:23 - 524000 - Discriminator loss: 0.3350 - 5619 samples/s | |
INFO - 03/21/18 18:09:13 - 3:25:25 - 528000 - Discriminator loss: 0.3348 - 5439 samples/s | |
INFO - 03/21/18 18:09:14 - 3:25:26 - 532000 - Discriminator loss: 0.3350 - 5837 samples/s | |
INFO - 03/21/18 18:09:16 - 3:25:28 - 536000 - Discriminator loss: 0.3350 - 4781 samples/s | |
INFO - 03/21/18 18:09:18 - 3:25:29 - 540000 - Discriminator loss: 0.3349 - 5816 samples/s | |
INFO - 03/21/18 18:09:19 - 3:25:31 - 544000 - Discriminator loss: 0.3349 - 5816 samples/s | |
INFO - 03/21/18 18:09:20 - 3:25:32 - 548000 - Discriminator loss: 0.3350 - 5733 samples/s | |
INFO - 03/21/18 18:09:22 - 3:25:33 - 552000 - Discriminator loss: 0.3348 - 5772 samples/s | |
INFO - 03/21/18 18:09:23 - 3:25:35 - 556000 - Discriminator loss: 0.3349 - 5501 samples/s | |
INFO - 03/21/18 18:09:25 - 3:25:36 - 560000 - Discriminator loss: 0.3349 - 5825 samples/s | |
INFO - 03/21/18 18:09:26 - 3:25:38 - 564000 - Discriminator loss: 0.3349 - 5638 samples/s | |
INFO - 03/21/18 18:09:27 - 3:25:39 - 568000 - Discriminator loss: 0.3349 - 5509 samples/s | |
INFO - 03/21/18 18:09:29 - 3:25:41 - 572000 - Discriminator loss: 0.3350 - 4710 samples/s | |
INFO - 03/21/18 18:09:31 - 3:25:42 - 576000 - Discriminator loss: 0.3350 - 4789 samples/s | |
INFO - 03/21/18 18:09:32 - 3:25:44 - 580000 - Discriminator loss: 0.3350 - 5815 samples/s | |
INFO - 03/21/18 18:09:34 - 3:25:45 - 584000 - Discriminator loss: 0.3349 - 5618 samples/s | |
INFO - 03/21/18 18:09:35 - 3:25:47 - 588000 - Discriminator loss: 0.3348 - 5589 samples/s | |
INFO - 03/21/18 18:09:36 - 3:25:48 - 592000 - Discriminator loss: 0.3351 - 5364 samples/s | |
INFO - 03/21/18 18:09:38 - 3:25:50 - 596000 - Discriminator loss: 0.3350 - 5767 samples/s | |
INFO - 03/21/18 18:09:39 - 3:25:51 - 600000 - Discriminator loss: 0.3351 - 5197 samples/s | |
INFO - 03/21/18 18:09:41 - 3:25:53 - 604000 - Discriminator loss: 0.3349 - 4247 samples/s | |
INFO - 03/21/18 18:09:43 - 3:25:54 - 608000 - Discriminator loss: 0.3350 - 5499 samples/s | |
INFO - 03/21/18 18:09:44 - 3:25:56 - 612000 - Discriminator loss: 0.3348 - 4645 samples/s | |
INFO - 03/21/18 18:09:46 - 3:25:58 - 616000 - Discriminator loss: 0.3351 - 5620 samples/s | |
INFO - 03/21/18 18:09:47 - 3:25:59 - 620000 - Discriminator loss: 0.3350 - 5557 samples/s | |
INFO - 03/21/18 18:09:49 - 3:26:01 - 624000 - Discriminator loss: 0.3350 - 4119 samples/s | |
INFO - 03/21/18 18:09:51 - 3:26:02 - 628000 - Discriminator loss: 0.3349 - 5303 samples/s | |
INFO - 03/21/18 18:09:53 - 3:26:04 - 632000 - Discriminator loss: 0.3349 - 4162 samples/s | |
INFO - 03/21/18 18:09:54 - 3:26:06 - 636000 - Discriminator loss: 0.3350 - 5602 samples/s | |
INFO - 03/21/18 18:09:56 - 3:26:07 - 640000 - Discriminator loss: 0.3349 - 5665 samples/s | |
INFO - 03/21/18 18:09:57 - 3:26:09 - 644000 - Discriminator loss: 0.3351 - 5145 samples/s | |
INFO - 03/21/18 18:09:59 - 3:26:10 - 648000 - Discriminator loss: 0.3349 - 5197 samples/s | |
INFO - 03/21/18 18:10:00 - 3:26:12 - 652000 - Discriminator loss: 0.3350 - 5227 samples/s | |
INFO - 03/21/18 18:10:02 - 3:26:13 - 656000 - Discriminator loss: 0.3348 - 5171 samples/s | |
INFO - 03/21/18 18:10:03 - 3:26:15 - 660000 - Discriminator loss: 0.3350 - 5161 samples/s | |
INFO - 03/21/18 18:10:05 - 3:26:16 - 664000 - Discriminator loss: 0.3348 - 5321 samples/s | |
INFO - 03/21/18 18:10:06 - 3:26:18 - 668000 - Discriminator loss: 0.3345 - 5314 samples/s | |
INFO - 03/21/18 18:10:08 - 3:26:19 - 672000 - Discriminator loss: 0.3348 - 5588 samples/s | |
INFO - 03/21/18 18:10:09 - 3:26:21 - 676000 - Discriminator loss: 0.3350 - 5027 samples/s | |
INFO - 03/21/18 18:10:11 - 3:26:23 - 680000 - Discriminator loss: 0.3349 - 4997 samples/s | |
INFO - 03/21/18 18:10:13 - 3:26:24 - 684000 - Discriminator loss: 0.3349 - 4764 samples/s | |
INFO - 03/21/18 18:10:15 - 3:26:26 - 688000 - Discriminator loss: 0.3349 - 3899 samples/s | |
INFO - 03/21/18 18:10:16 - 3:26:28 - 692000 - Discriminator loss: 0.3347 - 5392 samples/s | |
INFO - 03/21/18 18:10:18 - 3:26:29 - 696000 - Discriminator loss: 0.3350 - 5635 samples/s | |
INFO - 03/21/18 18:10:19 - 3:26:31 - 700000 - Discriminator loss: 0.3351 - 5635 samples/s | |
INFO - 03/21/18 18:10:20 - 3:26:32 - 704000 - Discriminator loss: 0.3352 - 5512 samples/s | |
INFO - 03/21/18 18:10:22 - 3:26:34 - 708000 - Discriminator loss: 0.3351 - 5659 samples/s | |
INFO - 03/21/18 18:10:23 - 3:26:35 - 712000 - Discriminator loss: 0.3351 - 5885 samples/s | |
INFO - 03/21/18 18:10:25 - 3:26:36 - 716000 - Discriminator loss: 0.3349 - 5838 samples/s | |
INFO - 03/21/18 18:10:26 - 3:26:38 - 720000 - Discriminator loss: 0.3351 - 5640 samples/s | |
INFO - 03/21/18 18:10:27 - 3:26:39 - 724000 - Discriminator loss: 0.3352 - 5825 samples/s | |
INFO - 03/21/18 18:10:29 - 3:26:41 - 728000 - Discriminator loss: 0.3351 - 5335 samples/s | |
INFO - 03/21/18 18:10:31 - 3:26:42 - 732000 - Discriminator loss: 0.3351 - 4636 samples/s | |
INFO - 03/21/18 18:10:32 - 3:26:44 - 736000 - Discriminator loss: 0.3353 - 5796 samples/s | |
INFO - 03/21/18 18:10:33 - 3:26:45 - 740000 - Discriminator loss: 0.3351 - 5360 samples/s | |
INFO - 03/21/18 18:10:35 - 3:26:47 - 744000 - Discriminator loss: 0.3351 - 5819 samples/s | |
INFO - 03/21/18 18:10:36 - 3:26:48 - 748000 - Discriminator loss: 0.3351 - 4762 samples/s | |
INFO - 03/21/18 18:10:38 - 3:26:50 - 752000 - Discriminator loss: 0.3352 - 5695 samples/s | |
INFO - 03/21/18 18:10:39 - 3:26:51 - 756000 - Discriminator loss: 0.3352 - 5583 samples/s | |
INFO - 03/21/18 18:10:41 - 3:26:52 - 760000 - Discriminator loss: 0.3351 - 5614 samples/s | |
INFO - 03/21/18 18:10:42 - 3:26:54 - 764000 - Discriminator loss: 0.3353 - 5152 samples/s | |
INFO - 03/21/18 18:10:44 - 3:26:55 - 768000 - Discriminator loss: 0.3351 - 5362 samples/s | |
INFO - 03/21/18 18:10:45 - 3:26:57 - 772000 - Discriminator loss: 0.3353 - 5677 samples/s | |
INFO - 03/21/18 18:10:47 - 3:26:58 - 776000 - Discriminator loss: 0.3352 - 5770 samples/s | |
INFO - 03/21/18 18:10:48 - 3:27:00 - 780000 - Discriminator loss: 0.3352 - 5333 samples/s | |
INFO - 03/21/18 18:10:50 - 3:27:01 - 784000 - Discriminator loss: 0.3352 - 5654 samples/s | |
INFO - 03/21/18 18:10:51 - 3:27:03 - 788000 - Discriminator loss: 0.3352 - 5408 samples/s | |
INFO - 03/21/18 18:10:53 - 3:27:04 - 792000 - Discriminator loss: 0.3352 - 4982 samples/s | |
INFO - 03/21/18 18:10:54 - 3:27:06 - 796000 - Discriminator loss: 0.3354 - 4773 samples/s | |
INFO - 03/21/18 18:10:56 - 3:27:08 - 800000 - Discriminator loss: 0.3351 - 4771 samples/s | |
INFO - 03/21/18 18:10:58 - 3:27:09 - 804000 - Discriminator loss: 0.3352 - 5057 samples/s | |
INFO - 03/21/18 18:10:59 - 3:27:11 - 808000 - Discriminator loss: 0.3353 - 5172 samples/s | |
INFO - 03/21/18 18:11:01 - 3:27:12 - 812000 - Discriminator loss: 0.3354 - 4877 samples/s | |
INFO - 03/21/18 18:11:02 - 3:27:14 - 816000 - Discriminator loss: 0.3352 - 4746 samples/s | |
INFO - 03/21/18 18:11:04 - 3:27:16 - 820000 - Discriminator loss: 0.3352 - 4860 samples/s | |
INFO - 03/21/18 18:11:06 - 3:27:17 - 824000 - Discriminator loss: 0.3353 - 4906 samples/s | |
INFO - 03/21/18 18:11:07 - 3:27:19 - 828000 - Discriminator loss: 0.3354 - 5231 samples/s | |
INFO - 03/21/18 18:11:09 - 3:27:21 - 832000 - Discriminator loss: 0.3352 - 4587 samples/s | |
INFO - 03/21/18 18:11:11 - 3:27:23 - 836000 - Discriminator loss: 0.3352 - 4212 samples/s | |
INFO - 03/21/18 18:11:12 - 3:27:24 - 840000 - Discriminator loss: 0.3352 - 5366 samples/s | |
INFO - 03/21/18 18:11:14 - 3:27:26 - 844000 - Discriminator loss: 0.3352 - 5212 samples/s | |
INFO - 03/21/18 18:11:16 - 3:27:27 - 848000 - Discriminator loss: 0.3351 - 4529 samples/s | |
INFO - 03/21/18 18:11:17 - 3:27:29 - 852000 - Discriminator loss: 0.3353 - 5746 samples/s | |
INFO - 03/21/18 18:11:19 - 3:27:30 - 856000 - Discriminator loss: 0.3349 - 5367 samples/s | |
INFO - 03/21/18 18:11:20 - 3:27:32 - 860000 - Discriminator loss: 0.3351 - 5804 samples/s | |
INFO - 03/21/18 18:11:21 - 3:27:33 - 864000 - Discriminator loss: 0.3351 - 5516 samples/s | |
INFO - 03/21/18 18:11:23 - 3:27:35 - 868000 - Discriminator loss: 0.3355 - 4303 samples/s | |
INFO - 03/21/18 18:11:25 - 3:27:36 - 872000 - Discriminator loss: 0.3353 - 5150 samples/s | |
INFO - 03/21/18 18:11:26 - 3:27:38 - 876000 - Discriminator loss: 0.3351 - 4808 samples/s | |
INFO - 03/21/18 18:11:28 - 3:27:40 - 880000 - Discriminator loss: 0.3351 - 5258 samples/s | |
INFO - 03/21/18 18:11:29 - 3:27:41 - 884000 - Discriminator loss: 0.3350 - 5226 samples/s | |
INFO - 03/21/18 18:11:31 - 3:27:43 - 888000 - Discriminator loss: 0.3352 - 4558 samples/s | |
INFO - 03/21/18 18:11:33 - 3:27:44 - 892000 - Discriminator loss: 0.3353 - 5343 samples/s | |
INFO - 03/21/18 18:11:34 - 3:27:46 - 896000 - Discriminator loss: 0.3351 - 5457 samples/s | |
INFO - 03/21/18 18:11:36 - 3:27:47 - 900000 - Discriminator loss: 0.3352 - 5806 samples/s | |
INFO - 03/21/18 18:11:37 - 3:27:49 - 904000 - Discriminator loss: 0.3351 - 5795 samples/s | |
INFO - 03/21/18 18:11:38 - 3:27:50 - 908000 - Discriminator loss: 0.3351 - 5648 samples/s | |
INFO - 03/21/18 18:11:40 - 3:27:52 - 912000 - Discriminator loss: 0.3351 - 5239 samples/s | |
INFO - 03/21/18 18:11:41 - 3:27:53 - 916000 - Discriminator loss: 0.3351 - 5652 samples/s | |
INFO - 03/21/18 18:11:43 - 3:27:54 - 920000 - Discriminator loss: 0.3351 - 5802 samples/s | |
INFO - 03/21/18 18:11:44 - 3:27:56 - 924000 - Discriminator loss: 0.3349 - 5796 samples/s | |
INFO - 03/21/18 18:11:46 - 3:27:57 - 928000 - Discriminator loss: 0.3352 - 5485 samples/s | |
INFO - 03/21/18 18:11:47 - 3:27:59 - 932000 - Discriminator loss: 0.3349 - 5557 samples/s | |
INFO - 03/21/18 18:11:49 - 3:28:00 - 936000 - Discriminator loss: 0.3351 - 4584 samples/s | |
INFO - 03/21/18 18:11:50 - 3:28:02 - 940000 - Discriminator loss: 0.3351 - 5108 samples/s | |
INFO - 03/21/18 18:11:52 - 3:28:03 - 944000 - Discriminator loss: 0.3349 - 5711 samples/s | |
INFO - 03/21/18 18:11:53 - 3:28:05 - 948000 - Discriminator loss: 0.3351 - 4577 samples/s | |
INFO - 03/21/18 18:11:55 - 3:28:07 - 952000 - Discriminator loss: 0.3350 - 5502 samples/s | |
INFO - 03/21/18 18:11:56 - 3:28:08 - 956000 - Discriminator loss: 0.3352 - 5360 samples/s | |
INFO - 03/21/18 18:11:58 - 3:28:09 - 960000 - Discriminator loss: 0.3353 - 5821 samples/s | |
INFO - 03/21/18 18:11:59 - 3:28:11 - 964000 - Discriminator loss: 0.3349 - 5134 samples/s | |
INFO - 03/21/18 18:12:01 - 3:28:12 - 968000 - Discriminator loss: 0.3349 - 5657 samples/s | |
INFO - 03/21/18 18:12:02 - 3:28:14 - 972000 - Discriminator loss: 0.3349 - 5784 samples/s | |
INFO - 03/21/18 18:12:04 - 3:28:15 - 976000 - Discriminator loss: 0.3350 - 5353 samples/s | |
INFO - 03/21/18 18:12:05 - 3:28:17 - 980000 - Discriminator loss: 0.3350 - 5401 samples/s | |
INFO - 03/21/18 18:12:07 - 3:28:18 - 984000 - Discriminator loss: 0.3350 - 5378 samples/s | |
INFO - 03/21/18 18:12:08 - 3:28:20 - 988000 - Discriminator loss: 0.3350 - 4984 samples/s | |
INFO - 03/21/18 18:12:10 - 3:28:21 - 992000 - Discriminator loss: 0.3352 - 5027 samples/s | |
INFO - 03/21/18 18:12:11 - 3:28:23 - 996000 - Discriminator loss: 0.3351 - 4935 samples/s | |
INFO - 03/21/18 18:12:13 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:13 - 3:28:25 - Dataset Found Not found Rho | |
INFO - 03/21/18 18:12:13 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_GUR350 268 82 0.6604 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_GUR65 64 1 0.8145 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_SIMLEX-999 956 43 0.3833 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_WS-353 342 8 0.6761 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_ZG222 154 68 0.4023 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - DE_SEMEVAL17 372 74 0.7264 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:13 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:13 - 3:28:25 - Dataset Found Not found Rho | |
INFO - 03/21/18 18:12:13 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_MC-30 30 0 0.8123 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_MTurk-287 286 1 0.6773 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_RG-65 65 0 0.7974 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_VERB-143 144 0 0.3973 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_WS-353-REL 252 0 0.6820 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_YP-130 130 0 0.5333 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_MEN-TR-3k 3000 0 0.7637 | |
INFO - 03/21/18 18:12:13 - 3:28:25 - EN_MTurk-771 771 0 0.6689 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - EN_RW-STANFORD 1323 711 0.5080 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - EN_SIMLEX-999 998 1 0.3823 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - EN_WS-353-ALL 353 0 0.7388 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - EN_WS-353-SIM 203 0 0.7811 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - EN_SEMEVAL17 379 9 0.7216 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - ==================================================================== | |
INFO - 03/21/18 18:12:14 - 3:28:25 - Monolingual source word similarity score average: 0.61051 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - Monolingual target word similarity score average: 0.65108 | |
INFO - 03/21/18 18:12:14 - 3:28:25 - Monolingual word similarity score average: 0.63080 | |
INFO - 03/21/18 18:12:14 - 3:28:26 - ==================================================================== | |
INFO - 03/21/18 18:12:14 - 3:28:26 - Dataset Found Not found Rho | |
INFO - 03/21/18 18:12:14 - 3:28:26 - ==================================================================== | |
INFO - 03/21/18 18:12:14 - 3:28:26 - DE_EN_SEMEVAL17 683 72 -0.0366 | |
INFO - 03/21/18 18:12:14 - 3:28:26 - ==================================================================== | |
INFO - 03/21/18 18:12:14 - 3:28:26 - Cross-lingual word similarity score average: -0.03662 | |
INFO - 03/21/18 18:12:14 - 3:28:26 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 18:12:15 - 3:28:26 - 1500 source words - nn - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 18:12:15 - 3:28:26 - 1500 source words - nn - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 18:12:15 - 3:28:26 - 1500 source words - nn - Precision at k = 10: 0.000000 | |
INFO - 03/21/18 18:12:15 - 3:28:26 - Found 2827 pairs of words in the dictionary (1500 unique). 0 other pairs contained at least one unknown word (0 in lang1, 0 in lang2) | |
INFO - 03/21/18 18:24:55 - 3:41:07 - 1500 source words - csls_knn_10 - Precision at k = 1: 0.000000 | |
INFO - 03/21/18 18:24:56 - 3:41:07 - 1500 source words - csls_knn_10 - Precision at k = 5: 0.000000 | |
INFO - 03/21/18 18:24:56 - 3:41:07 - 1500 source words - csls_knn_10 - Precision at k = 10: 0.000000 | |
INFO - 03/21/18 18:25:02 - 3:41:14 - Building the train dictionary ... | |
INFO - 03/21/18 18:25:02 - 3:41:14 - New train dictionary of 596 pairs. | |
INFO - 03/21/18 18:25:02 - 3:41:14 - Mean cosine (nn method, S2T build, 10000 max size): 0.47053 | |
INFO - 03/21/18 18:50:13 - 4:06:25 - Building the train dictionary ... | |
INFO - 03/21/18 18:50:13 - 4:06:25 - New train dictionary of 850 pairs. | |
INFO - 03/21/18 18:50:13 - 4:06:25 - Mean cosine (csls_knn_10 method, S2T build, 10000 max size): 0.42053 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Discriminator source / target predictions: 0.87857 / 0.16468 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Discriminator source / target / global accuracy: 0.99982 / 0.93014 / 0.96498 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - __log__:{"n_epoch": 4, "src_ws_monolingual_scores": 0.6105098562949426, "src_DE_GUR350": 0.6603695802172767, "src_DE_GUR65": 0.8145273358407267, "src_DE_SIMLEX-999": 0.38325956918199133, "src_DE_WS-353": 0.6761263608760439, "src_DE_ZG222": 0.4023413710269709, "src_DE_SEMEVAL17": 0.7264349206266457, "tgt_ws_monolingual_scores": 0.6510844458154897, "tgt_EN_MC-30": 0.8122844560731877, "tgt_EN_MTurk-287": 0.6773484753662096, "tgt_EN_RG-65": 0.7974341920962535, "tgt_EN_VERB-143": 0.39730727587681697, "tgt_EN_WS-353-REL": 0.6820189571624744, "tgt_EN_YP-130": 0.5332791408572926, "tgt_EN_MEN-TR-3k": 0.7636758268962788, "tgt_EN_MTurk-771": 0.6689253094490287, "tgt_EN_RW-STANFORD": 0.5080076589673553, "tgt_EN_SIMLEX-999": 0.3822891920029773, "tgt_EN_WS-353-ALL": 0.7388081960366618, "tgt_EN_WS-353-SIM": 0.7811195898733946, "tgt_EN_SEMEVAL17": 0.7215995249434355, "ws_monolingual_scores": 0.6307971510552162, "ws_crosslingual_scores": -0.03661833903760146, "src_tgt_DE_EN_SEMEVAL17": -0.03661833903760146, "precision_at_1-nn": 0.0, "precision_at_5-nn": 0.0, "precision_at_10-nn": 0.0, "precision_at_1-csls_knn_10": 0.0, "precision_at_5-csls_knn_10": 0.0, "precision_at_10-csls_knn_10": 0.0, "mean_cosine-nn-S2T-10000": 0.47052815556526184, "mean_cosine-csls_knn_10-S2T-10000": 0.4205288589000702, "dis_accu": 0.964985, "dis_src_pred": 0.8785727360843122, "dis_tgt_pred": 0.16467842725709547} | |
INFO - 03/21/18 18:50:15 - 4:06:27 - End of epoch 4. | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Decreasing learning rate: 0.02305920 -> 0.02259802 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Validation metric is smaller than the best: 0.42053 vs 0.59839 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Shrinking the learning rate: 0.02260 -> 0.01130 | |
INFO - 03/21/18 18:50:15 - 4:06:27 - * Reloading the best model from dumped/de-en-unsup/best_mapping.t7 ... | |
INFO - 03/21/18 18:50:15 - 4:06:27 - Writing source embeddings to dumped/de-en-unsup/vectors-de.txt ... | |
INFO - 03/21/18 18:51:16 - 4:07:28 - Writing target embeddings to dumped/de-en-unsup/vectors-en.txt ... |
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