gistfile1.txt

3-1-7+43-18-18
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 02:58PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 02:58PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Downloading https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz to /home/lcur0493/data/cifar-100-python.tar.gz
99.3Extracting /home/lcur0493/data/cifar-100-python.tar.gz to /home/lcur0493/data
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
[RandomCrop(size=(32, 32), padding=4), RandomHorizontalFlip(p=0.5), <benchmark.comm.sub_transform object at 0x1465a0b5b040>]
starting to training model
Epoch: 0| lr: 0.1000 | Train loss is 2.0506, Train Accuracy:  7.08% | Val loss is 2.1373, Val Accuracy:  9.27% |
Epoch: 10| lr: 0.1000 | Train loss is 1.0221, Train Accuracy: 44.99% | Val loss is 1.2407, Val Accuracy: 39.06% |
Epoch: 20| lr: 0.1000 | Train loss is 0.8974, Train Accuracy: 51.06% | Val loss is 1.0120, Val Accuracy: 48.73% |
Epoch: 30| lr: 0.1000 | Train loss is 0.8512, Train Accuracy: 53.60% | Val loss is 1.0825, Val Accuracy: 46.38% |
Epoch: 40| lr: 0.1000 | Train loss is 0.8326, Train Accuracy: 54.44% | Val loss is 0.9592, Val Accuracy: 51.80% |
Epoch: 50| lr: 0.1000 | Train loss is 0.8197, Train Accuracy: 55.32% | Val loss is 1.0688, Val Accuracy: 48.33% |
Epoch: 60| lr: 0.1000 | Train loss is 0.8082, Train Accuracy: 55.62% | Val loss is 0.9318, Val Accuracy: 52.13% |
Epoch: 70| lr: 0.1000 | Train loss is 0.8025, Train Accuracy: 56.23% | Val loss is 1.1940, Val Accuracy: 46.72% |
Epoch: 80| lr: 0.0100 | Train loss is 0.4526, Train Accuracy: 74.09% | Val loss is 0.4536, Val Accuracy: 74.38% |
Epoch: 90| lr: 0.0100 | Train loss is 0.3906, Train Accuracy: 77.74% | Val loss is 0.4861, Val Accuracy: 72.85% |
Epoch: 100| lr: 0.0100 | Train loss is 0.3772, Train Accuracy: 78.30% | Val loss is 0.4920, Val Accuracy: 73.03% |
Epoch: 110| lr: 0.0100 | Train loss is 0.3571, Train Accuracy: 79.60% | Val loss is 0.5051, Val Accuracy: 72.77% |
Epoch: 120| lr: 0.0100 | Train loss is 0.3498, Train Accuracy: 79.89% | Val loss is 0.5315, Val Accuracy: 72.07% |
Epoch: 130| lr: 0.0010 | Train loss is 0.2048, Train Accuracy: 88.72% | Val loss is 0.4166, Val Accuracy: 77.36% |
Epoch: 140| lr: 0.0010 | Train loss is 0.1794, Train Accuracy: 90.32% | Val loss is 0.4185, Val Accuracy: 77.41% |
Epoch: 150| lr: 0.0010 | Train loss is 0.1634, Train Accuracy: 91.19% | Val loss is 0.4221, Val Accuracy: 77.43% |
Epoch: 160| lr: 0.0010 | Train loss is 0.1510, Train Accuracy: 92.13% | Val loss is 0.4259, Val Accuracy: 77.33% |
Epoch: 170| lr: 0.0010 | Train loss is 0.1455, Train Accuracy: 92.37% | Val loss is 0.4311, Val Accuracy: 76.68% |
Epoch: 180| lr: 0.0001 | Train loss is 0.1283, Train Accuracy: 93.48% | Val loss is 0.4197, Val Accuracy: 77.51% |
Epoch: 190| lr: 0.0001 | Train loss is 0.1231, Train Accuracy: 93.77% | Val loss is 0.4186, Val Accuracy: 77.62% |
Epoch: 199| lr: 0.0001 | Train loss is 0.1239, Train Accuracy: 93.60% | Val loss is 0.4210, Val Accuracy: 77.53% |
3-1-7
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 04:19PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 04:19PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
3-1-7
[RandomCrop(size=(32, 32), padding=4), RandomHorizontalFlip(p=0.5), <benchmark.comm.sub_transform object at 0x151567b5aac0>]
starting to training model
Epoch: 0| lr: 0.1000 | Train loss is 2.0314, Train Accuracy:  7.23% | Val loss is 2.5145, Val Accuracy:  6.83% |
Epoch: 10| lr: 0.1000 | Train loss is 1.1192, Train Accuracy: 40.83% | Val loss is 1.6294, Val Accuracy: 33.84% |
Epoch: 20| lr: 0.1000 | Train loss is 1.0027, Train Accuracy: 46.32% | Val loss is 1.4955, Val Accuracy: 38.65% |
Epoch: 30| lr: 0.1000 | Train loss is 0.9538, Train Accuracy: 48.87% | Val loss is 1.3682, Val Accuracy: 41.29% |
Epoch: 40| lr: 0.1000 | Train loss is 0.9340, Train Accuracy: 49.74% | Val loss is 1.3182, Val Accuracy: 42.98% |
Epoch: 50| lr: 0.1000 | Train loss is 0.9181, Train Accuracy: 50.52% | Val loss is 1.3455, Val Accuracy: 43.87% |
Epoch: 60| lr: 0.1000 | Train loss is 0.9088, Train Accuracy: 50.95% | Val loss is 2.0048, Val Accuracy: 34.49% |
Epoch: 70| lr: 0.1000 | Train loss is 0.9043, Train Accuracy: 51.34% | Val loss is 1.2883, Val Accuracy: 43.63% |
Epoch: 80| lr: 0.0100 | Train loss is 0.5612, Train Accuracy: 68.51% | Val loss is 0.6796, Val Accuracy: 65.92% |
Epoch: 90| lr: 0.0100 | Train loss is 0.4990, Train Accuracy: 71.87% | Val loss is 0.7233, Val Accuracy: 64.91% |
Epoch: 100| lr: 0.0100 | Train loss is 0.4788, Train Accuracy: 72.90% | Val loss is 0.7216, Val Accuracy: 65.22% |
Epoch: 110| lr: 0.0100 | Train loss is 0.4627, Train Accuracy: 73.64% | Val loss is 0.7455, Val Accuracy: 65.93% |
Epoch: 120| lr: 0.0100 | Train loss is 0.4454, Train Accuracy: 74.55% | Val loss is 0.7595, Val Accuracy: 64.97% |
Epoch: 130| lr: 0.0010 | Train loss is 0.2855, Train Accuracy: 83.96% | Val loss is 0.5964, Val Accuracy: 70.84% |
Epoch: 140| lr: 0.0010 | Train loss is 0.2466, Train Accuracy: 86.54% | Val loss is 0.6003, Val Accuracy: 70.77% |
Epoch: 150| lr: 0.0010 | Train loss is 0.2259, Train Accuracy: 87.45% | Val loss is 0.6109, Val Accuracy: 70.75% |
Epoch: 160| lr: 0.0010 | Train loss is 0.2078, Train Accuracy: 88.56% | Val loss is 0.6055, Val Accuracy: 70.72% |
Epoch: 170| lr: 0.0010 | Train loss is 0.1932, Train Accuracy: 89.48% | Val loss is 0.6269, Val Accuracy: 70.21% |
Epoch: 180| lr: 0.0001 | Train loss is 0.1718, Train Accuracy: 90.94% | Val loss is 0.6092, Val Accuracy: 70.81% |
Epoch: 190| lr: 0.0001 | Train loss is 0.1654, Train Accuracy: 91.46% | Val loss is 0.6083, Val Accuracy: 70.78% |
Epoch: 199| lr: 0.0001 | Train loss is 0.1634, Train Accuracy: 91.40% | Val loss is 0.6120, Val Accuracy: 70.76% |
43-18-18
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 05:40PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Currently evaluating -------------------------------:
Tuesday, 18. January 2022 05:40PM
CPUs: 3, GPUs: 1 on r31n3.lisa.surfsara.nl.
GPU : NVIDIA GeForce GTX 1080 Ti
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
Files already downloaded and verified
43-18-18
[RandomCrop(size=(32, 32), padding=4), RandomHorizontalFlip(p=0.5), <benchmark.comm.sub_transform object at 0x14649711dac0>]
starting to training model
Epoch: 0| lr: 0.1000 | Train loss is 2.0248, Train Accuracy:  7.57% | Val loss is 1.9111, Val Accuracy: 11.07% |
Epoch: 10| lr: 0.1000 | Train loss is 0.8172, Train Accuracy: 54.48% | Val loss is 1.0451, Val Accuracy: 46.30% |
Epoch: 20| lr: 0.1000 | Train loss is 0.6986, Train Accuracy: 60.86% | Val loss is 0.8316, Val Accuracy: 54.89% |
Epoch: 30| lr: 0.1000 | Train loss is 0.6632, Train Accuracy: 62.52% | Val loss is 0.9740, Val Accuracy: 51.34% |
Epoch: 40| lr: 0.1000 | Train loss is 0.6418, Train Accuracy: 63.73% | Val loss is 0.9363, Val Accuracy: 53.03% |
Epoch: 50| lr: 0.1000 | Train loss is 0.6241, Train Accuracy: 64.67% | Val loss is 0.8936, Val Accuracy: 56.47% |
Epoch: 60| lr: 0.1000 | Train loss is 0.6166, Train Accuracy: 64.89% | Val loss is 0.9763, Val Accuracy: 52.90% |
Epoch: 70| lr: 0.1000 | Train loss is 0.6069, Train Accuracy: 65.60% | Val loss is 0.9567, Val Accuracy: 53.60% |
Epoch: 80| lr: 0.0100 | Train loss is 0.2467, Train Accuracy: 85.68% | Val loss is 0.4405, Val Accuracy: 75.33% |
Epoch: 90| lr: 0.0100 | Train loss is 0.1722, Train Accuracy: 90.21% | Val loss is 0.4871, Val Accuracy: 74.15% |
Epoch: 100| lr: 0.0100 | Train loss is 0.1535, Train Accuracy: 91.21% | Val loss is 0.5105, Val Accuracy: 73.47% |
Epoch: 110| lr: 0.0100 | Train loss is 0.1524, Train Accuracy: 91.33% | Val loss is 0.5636, Val Accuracy: 71.59% |
Epoch: 120| lr: 0.0100 | Train loss is 0.1433, Train Accuracy: 91.92% | Val loss is 0.6085, Val Accuracy: 71.03% |
Epoch: 130| lr: 0.0010 | Train loss is 0.0442, Train Accuracy: 98.30% | Val loss is 0.4599, Val Accuracy: 77.12% |
Epoch: 140| lr: 0.0010 | Train loss is 0.0345, Train Accuracy: 98.80% | Val loss is 0.4600, Val Accuracy: 77.10% |
Epoch: 150| lr: 0.0010 | Train loss is 0.0292, Train Accuracy: 99.06% | Val loss is 0.4592, Val Accuracy: 77.16% |
Epoch: 160| lr: 0.0010 | Train loss is 0.0256, Train Accuracy: 99.26% | Val loss is 0.4532, Val Accuracy: 77.41% |
Epoch: 170| lr: 0.0010 | Train loss is 0.0245, Train Accuracy: 99.29% | Val loss is 0.4539, Val Accuracy: 77.48% |
Epoch: 180| lr: 0.0001 | Train loss is 0.0212, Train Accuracy: 99.53% | Val loss is 0.4535, Val Accuracy: 77.34% |
Epoch: 190| lr: 0.0001 | Train loss is 0.0214, Train Accuracy: 99.50% | Val loss is 0.4527, Val Accuracy: 77.58% |
Epoch: 199| lr: 0.0001 | Train loss is 0.0206, Train Accuracy: 99.55% | Val loss is 0.4522, Val Accuracy: 77.68% |
100.0%