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Dataset_lvVolumeImages_001
Training detected mode classification
Dataset_lvVolumeImages_001
Sending logging and outputs to /work/vision_lab/Cardiac_TAVR_Classification/data_root/results/Dataset_lvVolumeImages_001/fold_0/long_run
Config: {'batch_size': 2, 'processes': 8, 'lr': 0.001, 'epochs': 100, 'momentum': 0, 'weight_decay': 0, 'target_size': [224, 224, 224]}
Dataset_lvVolumeImages_001
Preparing datapoints without cache: 0%| | 0/175 [00:00<?, ?it/s]Preparing datapoints without cache: 100%|██████████| 175/175 [00:00<00:00, 152790.01it/s]
Loss being used is nn.CrossEntropyLoss()
Scheduler being used is <torch.optim.lr_scheduler.StepLR object at 0x7fb02c37b700>
Optim being used is Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.999)
capturable: False
differentiable: False
eps: 1e-08
foreach: None
fused: None
initial_lr: 0.001
lr: 0.001
maximize: False
weight_decay: 0
)
Trainer finished initialization on rank 0.
=======================================================================
Epoch 0/99 running...
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Logged network structure.
Learning rate: 0.001
Train loss: 0.6842226606743936 --change-- 0.6842226606743936
Val loss: 0.7720732534812256 --change-- 0.7720732534812256
Val accuracy: 0.7272727489471436 --change-- 0.7272727489471436 Train accuracy: 0.7251908183097839 --change-- 0.7251908183097839
That is a new best epoch, saving the state!
Process 0 took 158.23865509033203 seconds.
=======================================================================
Epoch 1/99 running...
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0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<05:58, 17.06s/it] 9%|▉ | 2/22 [00:17<02:23, 7.18s/it] 14%|█▎ | 3/22 [00:17<01:16, 4.02s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.54s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.72s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.23s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.10it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.42it/s] 41%|████ | 9/22 [00:29<00:49, 3.80s/it] 45%|████▌ | 10/22 [00:29<00:32, 2.71s/it] 50%|█████ | 11/22 [00:30<00:21, 1.96s/it] 55%|█████▍ | 12/22 [00:30<00:14, 1.44s/it] 59%|█████▉ | 13/22 [00:30<00:09, 1.09s/it] 64%|██████▎ | 14/22 [00:30<00:06, 1.19it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.50it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.83it/s] 77%|███████▋ | 17/22 [00:38<00:12, 2.59s/it] 82%|████████▏ | 18/22 [00:38<00:07, 1.89s/it] 86%|████████▋ | 19/22 [00:39<00:04, 1.40s/it] 91%|█████████ | 20/22 [00:39<00:02, 1.06s/it] 95%|█████████▌| 21/22 [00:39<00:00, 1.22it/s]100%|██████████| 22/22 [00:40<00:00, 1.53it/s]100%|██████████| 22/22 [00:40<00:00, 1.82s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6559169385724395 --change-- -0.028305722101954145
Val loss: 0.6886296299370852 --change-- -0.08344362354414037
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 152.36904335021973 seconds.
=======================================================================
Epoch 2/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:36, 7.94s/it] 3%|▎ | 2/66 [00:09<04:09, 3.90s/it] 5%|▍ | 3/66 [00:10<02:44, 2.61s/it] 6%|▌ | 4/66 [00:11<02:03, 2.00s/it] 8%|▊ | 5/66 [00:12<01:41, 1.66s/it] 9%|▉ | 6/66 [00:13<01:27, 1.46s/it] 11%|█ | 7/66 [00:14<01:18, 1.33s/it] 12%|█▏ | 8/66 [00:15<01:12, 1.25s/it] 14%|█▎ | 9/66 [00:17<01:28, 1.56s/it] 15%|█▌ | 10/66 [00:18<01:18, 1.41s/it] 17%|█▋ | 11/66 [00:19<01:11, 1.30s/it] 18%|█▊ | 12/66 [00:20<01:06, 1.23s/it] 20%|█▉ | 13/66 [00:21<01:02, 1.18s/it] 21%|██ | 14/66 [00:23<00:59, 1.15s/it] 23%|██▎ | 15/66 [00:24<00:57, 1.12s/it] 24%|██▍ | 16/66 [00:25<00:55, 1.11s/it] 26%|██▌ | 17/66 [00:26<01:00, 1.23s/it] 27%|██▋ | 18/66 [00:27<00:56, 1.18s/it] 29%|██▉ | 19/66 [00:28<00:53, 1.15s/it] 30%|███ | 20/66 [00:29<00:51, 1.12s/it] 32%|███▏ | 21/66 [00:30<00:49, 1.11s/it] 33%|███▎ | 22/66 [00:31<00:48, 1.09s/it] 35%|███▍ | 23/66 [00:33<00:46, 1.09s/it] 36%|███▋ | 24/66 [00:34<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:37<01:09, 1.69s/it] 39%|███▉ | 26/66 [00:38<01:00, 1.51s/it] 41%|████ | 27/66 [00:39<00:53, 1.37s/it] 42%|████▏ | 28/66 [00:40<00:48, 1.28s/it] 44%|████▍ | 29/66 [00:41<00:45, 1.22s/it] 45%|████▌ | 30/66 [00:42<00:42, 1.17s/it] 47%|████▋ | 31/66 [00:43<00:39, 1.14s/it] 48%|████▊ | 32/66 [00:53<02:06, 3.71s/it] 50%|█████ | 33/66 [00:54<01:36, 2.92s/it] 52%|█████▏ | 34/66 [00:55<01:15, 2.36s/it] 53%|█████▎ | 35/66 [00:56<01:01, 1.98s/it] 55%|█████▍ | 36/66 [00:57<00:51, 1.71s/it] 56%|█████▌ | 37/66 [00:58<00:43, 1.51s/it] 58%|█████▊ | 38/66 [00:59<00:38, 1.38s/it] 59%|█████▉ | 39/66 [01:00<00:34, 1.29s/it] 61%|██████ | 40/66 [01:01<00:31, 1.22s/it] 62%|██████▏ | 41/66 [01:02<00:29, 1.18s/it] 64%|██████▎ | 42/66 [01:04<00:27, 1.14s/it] 65%|██████▌ | 43/66 [01:05<00:25, 1.12s/it] 67%|██████▋ | 44/66 [01:06<00:24, 1.11s/it] 68%|██████▊ | 45/66 [01:07<00:22, 1.09s/it] 70%|██████▉ | 46/66 [01:08<00:21, 1.09s/it] 71%|███████ | 47/66 [01:09<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:10<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:11<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:12<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:13<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:14<00:14, 1.07s/it] 80%|████████ | 53/66 [01:15<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:16<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:17<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:20<00:13, 1.39s/it] 86%|████████▋ | 57/66 [01:21<00:11, 1.29s/it] 88%|████████▊ | 58/66 [01:22<00:09, 1.23s/it] 89%|████████▉ | 59/66 [01:23<00:08, 1.19s/it] 91%|█████████ | 60/66 [01:24<00:06, 1.15s/it] 92%|█████████▏| 61/66 [01:25<00:05, 1.13s/it] 94%|█████████▍| 62/66 [01:26<00:04, 1.11s/it] 95%|█████████▌| 63/66 [01:27<00:03, 1.10s/it] 97%|█████████▋| 64/66 [01:28<00:02, 1.09s/it] 98%|█████████▊| 65/66 [01:29<00:01, 1.08s/it]100%|██████████| 66/66 [01:30<00:00, 1.08it/s]100%|██████████| 66/66 [01:30<00:00, 1.37s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:51, 16.73s/it] 9%|▉ | 2/22 [00:16<02:20, 7.05s/it] 14%|█▎ | 3/22 [00:17<01:15, 3.95s/it] 18%|█▊ | 4/22 [00:17<00:44, 2.50s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.69s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.21s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.11it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.43it/s] 41%|████ | 9/22 [00:28<00:48, 3.71s/it] 45%|████▌ | 10/22 [00:29<00:31, 2.65s/it] 50%|█████ | 11/22 [00:29<00:22, 2.01s/it] 55%|█████▍ | 12/22 [00:30<00:14, 1.48s/it] 59%|█████▉ | 13/22 [00:30<00:10, 1.11s/it] 64%|██████▎ | 14/22 [00:30<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:30<00:04, 1.47it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.80it/s] 77%|███████▋ | 17/22 [00:39<00:14, 2.92s/it] 82%|████████▏ | 18/22 [00:39<00:08, 2.12s/it] 86%|████████▋ | 19/22 [00:40<00:04, 1.57s/it] 91%|█████████ | 20/22 [00:40<00:02, 1.18s/it] 95%|█████████▌| 21/22 [00:40<00:00, 1.11it/s]100%|██████████| 22/22 [00:40<00:00, 1.41it/s]100%|██████████| 22/22 [00:40<00:00, 1.86s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6554731946182615 --change-- -0.0004437439541780108
Val loss: 0.6405611410737038 --change-- -0.04806848886338144
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 136.587397813797 seconds.
=======================================================================
Epoch 3/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<15:53, 14.67s/it] 3%|▎ | 2/66 [00:15<07:06, 6.67s/it] 5%|▍ | 3/66 [00:16<04:19, 4.11s/it] 6%|▌ | 4/66 [00:17<03:00, 2.91s/it] 8%|▊ | 5/66 [00:18<02:17, 2.25s/it] 9%|▉ | 6/66 [00:20<01:50, 1.85s/it] 11%|█ | 7/66 [00:21<01:33, 1.59s/it] 12%|█▏ | 8/66 [00:22<01:22, 1.43s/it] 14%|█▎ | 9/66 [00:23<01:14, 1.31s/it] 15%|█▌ | 10/66 [00:24<01:09, 1.24s/it] 17%|█▋ | 11/66 [00:25<01:05, 1.19s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.15s/it] 20%|█▉ | 13/66 [00:27<00:59, 1.13s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.08s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:45, 1.10s/it] 39%|███▉ | 26/66 [00:41<00:43, 1.09s/it] 41%|████ | 27/66 [00:42<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:43<00:41, 1.08s/it] 44%|████▍ | 29/66 [00:45<00:47, 1.30s/it] 45%|████▌ | 30/66 [00:46<00:44, 1.23s/it] 47%|████▋ | 31/66 [00:47<00:41, 1.18s/it] 48%|████▊ | 32/66 [00:48<00:38, 1.15s/it] 50%|█████ | 33/66 [00:49<00:37, 1.12s/it] 52%|█████▏ | 34/66 [00:50<00:36, 1.13s/it] 53%|█████▎ | 35/66 [00:51<00:34, 1.11s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.10s/it] 56%|█████▌ | 37/66 [00:57<01:00, 2.09s/it] 58%|█████▊ | 38/66 [00:58<00:49, 1.78s/it] 59%|█████▉ | 39/66 [00:59<00:42, 1.57s/it] 61%|██████ | 40/66 [01:00<00:36, 1.42s/it] 62%|██████▏ | 41/66 [01:01<00:32, 1.31s/it] 64%|██████▎ | 42/66 [01:02<00:29, 1.24s/it] 65%|██████▌ | 43/66 [01:03<00:27, 1.19s/it] 67%|██████▋ | 44/66 [01:04<00:25, 1.15s/it] 68%|██████▊ | 45/66 [01:08<00:36, 1.75s/it] 70%|██████▉ | 46/66 [01:09<00:30, 1.55s/it] 71%|███████ | 47/66 [01:10<00:26, 1.40s/it] 73%|███████▎ | 48/66 [01:11<00:23, 1.30s/it] 74%|███████▍ | 49/66 [01:15<00:37, 2.22s/it] 76%|███████▌ | 50/66 [01:16<00:30, 1.88s/it] 77%|███████▋ | 51/66 [01:17<00:24, 1.63s/it] 79%|███████▉ | 52/66 [01:18<00:20, 1.46s/it] 80%|████████ | 53/66 [01:19<00:17, 1.34s/it] 82%|████████▏ | 54/66 [01:20<00:15, 1.26s/it] 83%|████████▎ | 55/66 [01:21<00:13, 1.20s/it] 85%|████████▍ | 56/66 [01:23<00:11, 1.16s/it] 86%|████████▋ | 57/66 [01:24<00:10, 1.13s/it] 88%|████████▊ | 58/66 [01:25<00:08, 1.11s/it] 89%|████████▉ | 59/66 [01:26<00:07, 1.10s/it] 91%|█████████ | 60/66 [01:27<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:28<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:29<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:30<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:31<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:32<00:01, 1.07s/it]100%|██████████| 66/66 [01:33<00:00, 1.09it/s]100%|██████████| 66/66 [01:33<00:00, 1.41s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:06, 17.44s/it] 9%|▉ | 2/22 [00:17<02:26, 7.34s/it] 14%|█▎ | 3/22 [00:17<01:18, 4.11s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.59s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.75s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.25s/it] 32%|███▏ | 7/22 [00:19<00:13, 1.08it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.40it/s] 41%|████ | 9/22 [00:29<00:47, 3.69s/it] 45%|████▌ | 10/22 [00:29<00:31, 2.63s/it] 50%|█████ | 11/22 [00:30<00:20, 1.91s/it] 55%|█████▍ | 12/22 [00:30<00:14, 1.41s/it] 59%|█████▉ | 13/22 [00:30<00:09, 1.06s/it] 64%|██████▎ | 14/22 [00:30<00:06, 1.22it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.53it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.86it/s] 77%|███████▋ | 17/22 [00:40<00:15, 3.07s/it] 82%|████████▏ | 18/22 [00:40<00:08, 2.23s/it] 86%|████████▋ | 19/22 [00:40<00:04, 1.64s/it] 91%|█████████ | 20/22 [00:41<00:02, 1.23s/it] 95%|█████████▌| 21/22 [00:41<00:00, 1.07it/s]100%|██████████| 22/22 [00:41<00:00, 1.36it/s]100%|██████████| 22/22 [00:41<00:00, 1.89s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6186038360340904 --change-- -0.036869358584171064
Val loss: 0.5912197801199827 --change-- -0.0493413609537211
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 139.36332654953003 seconds.
=======================================================================
Epoch 4/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:13<14:05, 13.00s/it] 3%|▎ | 2/66 [00:14<06:22, 5.98s/it] 5%|▍ | 3/66 [00:15<03:55, 3.74s/it] 6%|▌ | 4/66 [00:16<02:46, 2.68s/it] 8%|▊ | 5/66 [00:17<02:08, 2.10s/it] 9%|▉ | 6/66 [00:18<01:45, 1.75s/it] 11%|█ | 7/66 [00:19<01:30, 1.53s/it] 12%|█▏ | 8/66 [00:20<01:20, 1.38s/it] 14%|█▎ | 9/66 [00:23<01:43, 1.81s/it] 15%|█▌ | 10/66 [00:24<01:28, 1.58s/it] 17%|█▋ | 11/66 [00:25<01:18, 1.42s/it] 18%|█▊ | 12/66 [00:26<01:10, 1.31s/it] 20%|█▉ | 13/66 [00:27<01:05, 1.24s/it] 21%|██ | 14/66 [00:28<01:01, 1.19s/it] 23%|██▎ | 15/66 [00:29<00:58, 1.15s/it] 24%|██▍ | 16/66 [00:30<00:56, 1.13s/it] 26%|██▌ | 17/66 [00:33<01:22, 1.68s/it] 27%|██▋ | 18/66 [00:34<01:11, 1.49s/it] 29%|██▉ | 19/66 [00:35<01:04, 1.37s/it] 30%|███ | 20/66 [00:36<00:58, 1.28s/it] 32%|███▏ | 21/66 [00:37<00:54, 1.21s/it] 33%|███▎ | 22/66 [00:38<00:51, 1.17s/it] 35%|███▍ | 23/66 [00:40<00:48, 1.14s/it] 36%|███▋ | 24/66 [00:41<00:46, 1.12s/it] 38%|███▊ | 25/66 [00:42<00:45, 1.10s/it] 39%|███▉ | 26/66 [00:43<00:43, 1.09s/it] 41%|████ | 27/66 [00:44<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:45<00:41, 1.08s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.08s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:55<01:23, 2.53s/it] 52%|█████▏ | 34/66 [00:56<01:06, 2.09s/it] 53%|█████▎ | 35/66 [00:57<00:55, 1.78s/it] 55%|█████▍ | 36/66 [00:59<00:53, 1.79s/it] 56%|█████▌ | 37/66 [01:00<00:45, 1.58s/it] 58%|█████▊ | 38/66 [01:01<00:39, 1.42s/it] 59%|█████▉ | 39/66 [01:02<00:35, 1.32s/it] 61%|██████ | 40/66 [01:03<00:32, 1.24s/it] 62%|██████▏ | 41/66 [01:07<00:49, 1.97s/it] 64%|██████▎ | 42/66 [01:08<00:40, 1.70s/it] 65%|██████▌ | 43/66 [01:09<00:34, 1.51s/it] 67%|██████▋ | 44/66 [01:10<00:30, 1.38s/it] 68%|██████▊ | 45/66 [01:11<00:26, 1.28s/it] 70%|██████▉ | 46/66 [01:12<00:24, 1.22s/it] 71%|███████ | 47/66 [01:13<00:22, 1.17s/it] 73%|███████▎ | 48/66 [01:14<00:20, 1.14s/it] 74%|███████▍ | 49/66 [01:20<00:40, 2.38s/it] 76%|███████▌ | 50/66 [01:21<00:31, 1.99s/it] 77%|███████▋ | 51/66 [01:22<00:25, 1.71s/it] 79%|███████▉ | 52/66 [01:23<00:21, 1.52s/it] 80%|████████ | 53/66 [01:24<00:17, 1.38s/it] 82%|████████▏ | 54/66 [01:25<00:15, 1.29s/it] 83%|████████▎ | 55/66 [01:26<00:13, 1.22s/it] 85%|████████▍ | 56/66 [01:27<00:11, 1.18s/it] 86%|████████▋ | 57/66 [01:28<00:10, 1.14s/it] 88%|████████▊ | 58/66 [01:29<00:08, 1.12s/it] 89%|████████▉ | 59/66 [01:30<00:07, 1.10s/it] 91%|█████████ | 60/66 [01:31<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:33<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:34<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:35<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:36<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:37<00:01, 1.07s/it]100%|██████████| 66/66 [01:37<00:00, 1.09it/s]100%|██████████| 66/66 [01:37<00:00, 1.48s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:40, 16.24s/it] 9%|▉ | 2/22 [00:16<02:16, 6.84s/it] 14%|█▎ | 3/22 [00:16<01:12, 3.84s/it] 18%|█▊ | 4/22 [00:17<00:43, 2.43s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.65s/it] 27%|██▋ | 6/22 [00:17<00:18, 1.18s/it] 32%|███▏ | 7/22 [00:17<00:13, 1.14it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.46it/s] 41%|████ | 9/22 [00:29<00:52, 4.04s/it] 45%|████▌ | 10/22 [00:29<00:34, 2.87s/it] 50%|█████ | 11/22 [00:30<00:22, 2.07s/it] 55%|█████▍ | 12/22 [00:30<00:15, 1.52s/it] 59%|█████▉ | 13/22 [00:30<00:10, 1.14s/it] 64%|██████▎ | 14/22 [00:30<00:07, 1.14it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.44it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.77it/s] 77%|███████▋ | 17/22 [00:39<00:14, 2.85s/it] 82%|████████▏ | 18/22 [00:40<00:08, 2.16s/it] 86%|████████▋ | 19/22 [00:40<00:04, 1.59s/it] 91%|█████████ | 20/22 [00:40<00:02, 1.19s/it] 95%|█████████▌| 21/22 [00:40<00:00, 1.09it/s]100%|██████████| 22/22 [00:41<00:00, 1.39it/s]100%|██████████| 22/22 [00:41<00:00, 1.87s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6311780020935844 --change-- 0.012574166059494019
Val loss: 0.5847559354522012 --change-- -0.006463844667781493
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 143.36359858512878 seconds.
=======================================================================
Epoch 5/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:09, 10.31s/it] 3%|▎ | 2/66 [00:11<05:11, 4.87s/it] 5%|▍ | 3/66 [00:13<03:45, 3.58s/it] 6%|▌ | 4/66 [00:14<02:40, 2.59s/it] 8%|▊ | 5/66 [00:15<02:04, 2.04s/it] 9%|▉ | 6/66 [00:16<01:42, 1.71s/it] 11%|█ | 7/66 [00:17<01:28, 1.50s/it] 12%|█▏ | 8/66 [00:18<01:18, 1.36s/it] 14%|█▎ | 9/66 [00:19<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:20<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.16s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.13s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.11s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:29<01:09, 1.43s/it] 27%|██▋ | 18/66 [00:30<01:03, 1.32s/it] 29%|██▉ | 19/66 [00:31<00:58, 1.24s/it] 30%|███ | 20/66 [00:32<00:54, 1.19s/it] 32%|███▏ | 21/66 [00:33<00:51, 1.15s/it] 33%|███▎ | 22/66 [00:34<00:49, 1.13s/it] 35%|███▍ | 23/66 [00:35<00:47, 1.11s/it] 36%|███▋ | 24/66 [00:36<00:46, 1.10s/it] 38%|███▊ | 25/66 [00:40<01:08, 1.68s/it] 39%|███▉ | 26/66 [00:41<00:59, 1.49s/it] 41%|████ | 27/66 [00:42<00:53, 1.37s/it] 42%|████▏ | 28/66 [00:43<00:48, 1.28s/it] 44%|████▍ | 29/66 [00:44<00:44, 1.21s/it] 45%|████▌ | 30/66 [00:45<00:42, 1.17s/it] 47%|████▋ | 31/66 [00:46<00:39, 1.14s/it] 48%|████▊ | 32/66 [00:47<00:38, 1.12s/it] 50%|█████ | 33/66 [00:49<00:44, 1.35s/it] 52%|█████▏ | 34/66 [00:50<00:40, 1.26s/it] 53%|█████▎ | 35/66 [00:51<00:37, 1.20s/it] 55%|█████▍ | 36/66 [00:52<00:34, 1.16s/it] 56%|█████▌ | 37/66 [00:53<00:32, 1.13s/it] 58%|█████▊ | 38/66 [00:54<00:31, 1.11s/it] 59%|█████▉ | 39/66 [00:55<00:29, 1.10s/it] 61%|██████ | 40/66 [00:56<00:28, 1.09s/it] 62%|██████▏ | 41/66 [00:58<00:30, 1.21s/it] 64%|██████▎ | 42/66 [00:59<00:28, 1.17s/it] 65%|██████▌ | 43/66 [01:00<00:26, 1.14s/it] 67%|██████▋ | 44/66 [01:01<00:24, 1.12s/it] 68%|██████▊ | 45/66 [01:02<00:23, 1.10s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.09s/it] 71%|███████ | 47/66 [01:04<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:09<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:10<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.10it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:31, 18.63s/it] 9%|▉ | 2/22 [00:18<02:36, 7.83s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.37s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.75s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:19<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:29<00:44, 3.46s/it] 45%|████▌ | 10/22 [00:30<00:30, 2.52s/it] 50%|█████ | 11/22 [00:31<00:22, 2.00s/it] 55%|█████▍ | 12/22 [00:31<00:14, 1.48s/it] 59%|█████▉ | 13/22 [00:31<00:09, 1.11s/it] 64%|██████▎ | 14/22 [00:31<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.81it/s] 77%|███████▋ | 17/22 [00:43<00:17, 3.58s/it] 82%|████████▏ | 18/22 [00:43<00:10, 2.58s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.89s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.40s/it] 95%|█████████▌| 21/22 [00:44<00:01, 1.06s/it]100%|██████████| 22/22 [00:44<00:00, 1.22it/s]100%|██████████| 22/22 [00:44<00:00, 2.02s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6101463578129542 --change-- -0.021031644280630202
Val loss: 0.586158431389115 --change-- 0.0014024959369138834
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.09729099273682 seconds.
=======================================================================
Epoch 6/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:35, 10.70s/it] 3%|▎ | 2/66 [00:11<05:22, 5.04s/it] 5%|▍ | 3/66 [00:14<03:58, 3.78s/it] 6%|▌ | 4/66 [00:15<02:48, 2.71s/it] 8%|▊ | 5/66 [00:16<02:09, 2.12s/it] 9%|▉ | 6/66 [00:17<01:45, 1.76s/it] 11%|█ | 7/66 [00:18<01:30, 1.53s/it] 12%|█▏ | 8/66 [00:19<01:20, 1.39s/it] 14%|█▎ | 9/66 [00:21<01:33, 1.64s/it] 15%|█▌ | 10/66 [00:22<01:21, 1.46s/it] 17%|█▋ | 11/66 [00:24<01:19, 1.45s/it] 18%|█▊ | 12/66 [00:25<01:12, 1.33s/it] 20%|█▉ | 13/66 [00:26<01:06, 1.25s/it] 21%|██ | 14/66 [00:27<01:02, 1.20s/it] 23%|██▎ | 15/66 [00:28<00:59, 1.16s/it] 24%|██▍ | 16/66 [00:29<00:56, 1.13s/it] 26%|██▌ | 17/66 [00:31<01:09, 1.42s/it] 27%|██▋ | 18/66 [00:32<01:03, 1.32s/it] 29%|██▉ | 19/66 [00:33<00:58, 1.24s/it] 30%|███ | 20/66 [00:34<00:54, 1.19s/it] 32%|███▏ | 21/66 [00:35<00:51, 1.15s/it] 33%|███▎ | 22/66 [00:36<00:49, 1.13s/it] 35%|███▍ | 23/66 [00:37<00:47, 1.11s/it] 36%|███▋ | 24/66 [00:38<00:46, 1.10s/it] 38%|███▊ | 25/66 [00:40<00:44, 1.09s/it] 39%|███▉ | 26/66 [00:41<00:43, 1.08s/it] 41%|████ | 27/66 [00:42<00:42, 1.08s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:00<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:01<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:13<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:14<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:15<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.18s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.14s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.12s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.10s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.09s/it]100%|██████████| 66/66 [01:23<00:00, 1.07it/s]100%|██████████| 66/66 [01:23<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:42, 16.31s/it] 9%|▉ | 2/22 [00:16<02:17, 6.87s/it] 14%|█▎ | 3/22 [00:16<01:13, 3.86s/it] 18%|█▊ | 4/22 [00:17<00:43, 2.44s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.66s/it] 27%|██▋ | 6/22 [00:17<00:18, 1.18s/it] 32%|███▏ | 7/22 [00:17<00:13, 1.13it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.46it/s] 41%|████ | 9/22 [00:29<00:52, 4.06s/it] 45%|████▌ | 10/22 [00:29<00:34, 2.89s/it] 50%|█████ | 11/22 [00:30<00:22, 2.09s/it] 55%|█████▍ | 12/22 [00:30<00:15, 1.53s/it] 59%|█████▉ | 13/22 [00:30<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:30<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.44it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:42<00:19, 3.81s/it] 82%|████████▏ | 18/22 [00:43<00:10, 2.74s/it] 86%|████████▋ | 19/22 [00:43<00:05, 2.00s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.48s/it] 95%|█████████▌| 21/22 [00:43<00:01, 1.11s/it]100%|██████████| 22/22 [00:44<00:00, 1.16it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6034570040593621 --change-- -0.006689353753592142
Val loss: 0.5899592624469236 --change-- 0.0038008310578085958
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 130.10054850578308 seconds.
=======================================================================
Epoch 7/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:16<18:19, 16.92s/it] 3%|▎ | 2/66 [00:17<08:06, 7.59s/it] 5%|▍ | 3/66 [00:19<04:50, 4.61s/it] 6%|▌ | 4/66 [00:20<03:19, 3.21s/it] 8%|▊ | 5/66 [00:21<02:28, 2.44s/it] 9%|▉ | 6/66 [00:22<01:58, 1.97s/it] 11%|█ | 7/66 [00:23<01:39, 1.68s/it] 12%|█▏ | 8/66 [00:24<01:26, 1.48s/it] 14%|█▎ | 9/66 [00:25<01:17, 1.35s/it] 15%|█▌ | 10/66 [00:26<01:10, 1.27s/it] 17%|█▋ | 11/66 [00:27<01:06, 1.21s/it] 18%|█▊ | 12/66 [00:28<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:29<01:00, 1.13s/it] 21%|██ | 14/66 [00:30<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:31<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:32<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:34<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:35<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:36<00:50, 1.08s/it] 30%|███ | 20/66 [00:37<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:38<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:39<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:40<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:41<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:42<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:43<00:42, 1.07s/it] 41%|████ | 27/66 [00:44<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:50<00:36, 1.07s/it] 50%|█████ | 33/66 [00:51<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:55<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:56<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:57<00:28, 1.07s/it] 61%|██████ | 40/66 [00:58<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:59<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:00<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:06<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:07<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:10<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:11<00:14, 1.07s/it] 80%|████████ | 53/66 [01:12<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:13<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:14<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:47, 16.55s/it] 9%|▉ | 2/22 [00:16<02:19, 6.97s/it] 14%|█▎ | 3/22 [00:17<01:14, 3.91s/it] 18%|█▊ | 4/22 [00:17<00:44, 2.47s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.68s/it] 27%|██▋ | 6/22 [00:17<00:19, 1.20s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.12it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.44it/s] 41%|████ | 9/22 [00:29<00:50, 3.86s/it] 45%|████▌ | 10/22 [00:29<00:33, 2.79s/it] 50%|█████ | 11/22 [00:29<00:22, 2.02s/it] 55%|█████▍ | 12/22 [00:30<00:14, 1.49s/it] 59%|█████▉ | 13/22 [00:30<00:10, 1.12s/it] 64%|██████▎ | 14/22 [00:30<00:06, 1.16it/s] 68%|██████▊ | 15/22 [00:30<00:04, 1.47it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.80it/s] 77%|███████▋ | 17/22 [00:42<00:19, 3.85s/it] 82%|████████▏ | 18/22 [00:42<00:11, 2.77s/it] 86%|████████▋ | 19/22 [00:43<00:06, 2.02s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.49s/it] 95%|█████████▌| 21/22 [00:43<00:01, 1.12s/it]100%|██████████| 22/22 [00:44<00:00, 1.15it/s]100%|██████████| 22/22 [00:44<00:00, 2.00s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.602776286483721 --change-- -0.0006807175756411432
Val loss: 0.6005668152462352 --change-- 0.010607552799311581
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.30450320243835 seconds.
=======================================================================
Epoch 8/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:12, 8.50s/it] 3%|▎ | 2/66 [00:09<04:24, 4.13s/it] 5%|▍ | 3/66 [00:13<04:02, 3.85s/it] 6%|▌ | 4/66 [00:14<02:50, 2.75s/it] 8%|▊ | 5/66 [00:15<02:10, 2.14s/it] 9%|▉ | 6/66 [00:16<01:46, 1.78s/it] 11%|█ | 7/66 [00:17<01:31, 1.55s/it] 12%|█▏ | 8/66 [00:18<01:20, 1.39s/it] 14%|█▎ | 9/66 [00:19<01:13, 1.29s/it] 15%|█▌ | 10/66 [00:20<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.09it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:48, 16.62s/it] 9%|▉ | 2/22 [00:17<02:22, 7.11s/it] 14%|█▎ | 3/22 [00:17<01:15, 3.98s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.52s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.71s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.22s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.10it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.42it/s] 41%|████ | 9/22 [00:28<00:48, 3.70s/it] 45%|████▌ | 10/22 [00:29<00:33, 2.81s/it] 50%|█████ | 11/22 [00:30<00:22, 2.03s/it] 55%|█████▍ | 12/22 [00:30<00:14, 1.50s/it] 59%|█████▉ | 13/22 [00:30<00:10, 1.12s/it] 64%|██████▎ | 14/22 [00:30<00:06, 1.16it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.46it/s] 73%|███████▎ | 16/22 [00:31<00:03, 1.79it/s] 77%|███████▋ | 17/22 [00:40<00:15, 3.17s/it] 82%|████████▏ | 18/22 [00:40<00:09, 2.30s/it] 86%|████████▋ | 19/22 [00:41<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:41<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:41<00:00, 1.04it/s]100%|██████████| 22/22 [00:41<00:00, 1.33it/s]100%|██████████| 22/22 [00:41<00:00, 1.91s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.602191521352484 --change-- -0.0005847651312369528
Val loss: 0.5859504816207018 --change-- -0.014616333625533384
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 124.01549649238586 seconds.
=======================================================================
Epoch 9/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<09:52, 9.12s/it] 3%|▎ | 2/66 [00:12<06:09, 5.78s/it] 5%|▍ | 3/66 [00:13<03:48, 3.63s/it] 6%|▌ | 4/66 [00:14<02:42, 2.62s/it] 8%|▊ | 5/66 [00:15<02:05, 2.06s/it] 9%|▉ | 6/66 [00:16<01:43, 1.72s/it] 11%|█ | 7/66 [00:17<01:29, 1.51s/it] 12%|█▏ | 8/66 [00:18<01:19, 1.37s/it] 14%|█▎ | 9/66 [00:20<01:12, 1.28s/it] 15%|█▌ | 10/66 [00:21<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.12s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:53, 1.73s/it] 55%|█████▍ | 36/66 [00:51<00:49, 1.63s/it] 56%|█████▌ | 37/66 [00:52<00:42, 1.46s/it] 58%|█████▊ | 38/66 [00:53<00:37, 1.34s/it] 59%|█████▉ | 39/66 [00:54<00:34, 1.26s/it] 61%|██████ | 40/66 [00:55<00:31, 1.20s/it] 62%|██████▏ | 41/66 [00:56<00:29, 1.16s/it] 64%|██████▎ | 42/66 [00:57<00:27, 1.13s/it] 65%|██████▌ | 43/66 [00:58<00:25, 1.11s/it] 67%|██████▋ | 44/66 [01:00<00:24, 1.12s/it] 68%|██████▊ | 45/66 [01:01<00:23, 1.10s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.09s/it] 71%|███████ | 47/66 [01:03<00:20, 1.09s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.08s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:23<00:00, 1.09it/s]100%|██████████| 66/66 [01:23<00:00, 1.26s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<05:58, 17.08s/it] 9%|▉ | 2/22 [00:17<02:23, 7.19s/it] 14%|█▎ | 3/22 [00:17<01:16, 4.03s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.54s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.72s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.23s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.10it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.41it/s] 41%|████ | 9/22 [00:31<00:57, 4.41s/it] 45%|████▌ | 10/22 [00:31<00:37, 3.13s/it] 50%|█████ | 11/22 [00:32<00:24, 2.25s/it] 55%|█████▍ | 12/22 [00:32<00:16, 1.65s/it] 59%|█████▉ | 13/22 [00:32<00:11, 1.23s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:33<00:05, 1.36it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.68it/s] 77%|███████▋ | 17/22 [00:43<00:16, 3.34s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.42s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.77s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.32s/it] 95%|█████████▌| 21/22 [00:44<00:01, 1.00s/it]100%|██████████| 22/22 [00:44<00:00, 1.28it/s]100%|██████████| 22/22 [00:44<00:00, 2.02s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.605782829623186 --change-- 0.003591308270701976
Val loss: 0.6359008205207911 --change-- 0.049950338900089264
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.6398777961731 seconds.
=======================================================================
Epoch 10/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:32, 7.89s/it] 3%|▎ | 2/66 [00:08<04:08, 3.88s/it] 5%|▍ | 3/66 [00:11<03:12, 3.05s/it] 6%|▌ | 4/66 [00:12<02:20, 2.27s/it] 8%|▊ | 5/66 [00:13<01:51, 1.84s/it] 9%|▉ | 6/66 [00:14<01:34, 1.57s/it] 11%|█ | 7/66 [00:15<01:23, 1.41s/it] 12%|█▏ | 8/66 [00:16<01:15, 1.30s/it] 14%|█▎ | 9/66 [00:19<01:49, 1.93s/it] 15%|█▌ | 10/66 [00:20<01:33, 1.66s/it] 17%|█▋ | 11/66 [00:21<01:21, 1.48s/it] 18%|█▊ | 12/66 [00:22<01:13, 1.35s/it] 20%|█▉ | 13/66 [00:23<01:07, 1.27s/it] 21%|██ | 14/66 [00:25<01:02, 1.21s/it] 23%|██▎ | 15/66 [00:26<00:59, 1.16s/it] 24%|██▍ | 16/66 [00:27<00:56, 1.14s/it] 26%|██▌ | 17/66 [00:28<00:54, 1.11s/it] 27%|██▋ | 18/66 [00:29<00:52, 1.10s/it] 29%|██▉ | 19/66 [00:30<00:51, 1.09s/it] 30%|███ | 20/66 [00:31<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.08s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:34<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:45, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:57, 19.90s/it] 9%|▉ | 2/22 [00:20<02:47, 8.35s/it] 14%|█▎ | 3/22 [00:20<01:28, 4.66s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.93s/it] 23%|██▎ | 5/22 [00:20<00:33, 1.97s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.39s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.02s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.28it/s] 41%|████ | 9/22 [00:33<00:56, 4.33s/it] 45%|████▌ | 10/22 [00:34<00:36, 3.08s/it] 50%|█████ | 11/22 [00:34<00:24, 2.22s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.62s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.21s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.08it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.38it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.70it/s] 77%|███████▋ | 17/22 [00:43<00:13, 2.62s/it] 82%|████████▏ | 18/22 [00:43<00:07, 1.91s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.42s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.07s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.20it/s]100%|██████████| 22/22 [00:44<00:00, 1.51it/s]100%|██████████| 22/22 [00:44<00:00, 2.02s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6100960305628885 --change-- 0.004313200939702555
Val loss: 0.6185747798193585 --change-- -0.01732604070143262
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 126.74450898170471 seconds.
=======================================================================
Epoch 11/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:13<15:07, 13.96s/it] 3%|▎ | 2/66 [00:15<06:48, 6.38s/it] 5%|▍ | 3/66 [00:16<04:08, 3.95s/it] 6%|▌ | 4/66 [00:17<02:54, 2.81s/it] 8%|▊ | 5/66 [00:18<02:13, 2.18s/it] 9%|▉ | 6/66 [00:19<01:48, 1.81s/it] 11%|█ | 7/66 [00:20<01:32, 1.56s/it] 12%|█▏ | 8/66 [00:21<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:23<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:24<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:25<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:26<00:59, 1.12s/it] 21%|██ | 14/66 [00:27<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:28<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:29<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:35<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:39<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.26s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:48, 16.59s/it] 9%|▉ | 2/22 [00:16<02:19, 6.99s/it] 14%|█▎ | 3/22 [00:17<01:21, 4.29s/it] 18%|█▊ | 4/22 [00:18<00:48, 2.70s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.82s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:18<00:14, 1.05it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.36it/s] 41%|████ | 9/22 [00:34<01:06, 5.13s/it] 45%|████▌ | 10/22 [00:34<00:43, 3.63s/it] 50%|█████ | 11/22 [00:34<00:28, 2.60s/it] 55%|█████▍ | 12/22 [00:34<00:18, 1.89s/it] 59%|█████▉ | 13/22 [00:35<00:12, 1.40s/it] 64%|██████▎ | 14/22 [00:35<00:08, 1.06s/it] 68%|██████▊ | 15/22 [00:35<00:05, 1.22it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.53it/s] 77%|███████▋ | 17/22 [00:44<00:15, 3.13s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.27s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.67s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.25s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.05it/s]100%|██████████| 22/22 [00:46<00:00, 1.34it/s]100%|██████████| 22/22 [00:46<00:00, 2.10s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6065345320082803 --change-- -0.003561498554608189
Val loss: 0.6288028941913084 --change-- 0.010228114371949926
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.27763271331787 seconds.
=======================================================================
Epoch 12/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:48, 8.13s/it] 3%|▎ | 2/66 [00:09<04:14, 3.98s/it] 5%|▍ | 3/66 [00:10<02:46, 2.65s/it] 6%|▌ | 4/66 [00:11<02:05, 2.03s/it] 8%|▊ | 5/66 [00:12<01:42, 1.68s/it] 9%|▉ | 6/66 [00:13<01:28, 1.47s/it] 11%|█ | 7/66 [00:14<01:19, 1.34s/it] 12%|█▏ | 8/66 [00:15<01:12, 1.25s/it] 14%|█▎ | 9/66 [00:16<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:19<01:30, 1.62s/it] 17%|█▋ | 11/66 [00:20<01:19, 1.45s/it] 18%|█▊ | 12/66 [00:25<02:18, 2.57s/it] 20%|█▉ | 13/66 [00:26<01:52, 2.12s/it] 21%|██ | 14/66 [00:27<01:33, 1.80s/it] 23%|██▎ | 15/66 [00:28<01:20, 1.58s/it] 24%|██▍ | 16/66 [00:29<01:11, 1.42s/it] 26%|██▌ | 17/66 [00:30<01:04, 1.32s/it] 27%|██▋ | 18/66 [00:31<00:59, 1.24s/it] 29%|██▉ | 19/66 [00:32<00:55, 1.19s/it] 30%|███ | 20/66 [00:34<00:53, 1.15s/it] 32%|███▏ | 21/66 [00:35<00:50, 1.13s/it] 33%|███▎ | 22/66 [00:36<00:48, 1.11s/it] 35%|███▍ | 23/66 [00:37<00:47, 1.10s/it] 36%|███▋ | 24/66 [00:38<00:45, 1.09s/it] 38%|███▊ | 25/66 [00:39<00:44, 1.08s/it] 39%|███▉ | 26/66 [00:40<00:43, 1.08s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:23, 18.25s/it] 9%|▉ | 2/22 [00:18<02:33, 7.67s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.29s/it] 18%|█▊ | 4/22 [00:19<00:48, 2.70s/it] 23%|██▎ | 5/22 [00:19<00:30, 1.82s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.36it/s] 41%|████ | 9/22 [00:30<00:50, 3.90s/it] 45%|████▌ | 10/22 [00:31<00:33, 2.78s/it] 50%|█████ | 11/22 [00:31<00:22, 2.01s/it] 55%|█████▍ | 12/22 [00:31<00:14, 1.48s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.11s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.47it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.80it/s] 77%|███████▋ | 17/22 [00:40<00:13, 2.72s/it] 82%|████████▏ | 18/22 [00:40<00:07, 1.99s/it] 86%|████████▋ | 19/22 [00:41<00:04, 1.47s/it] 91%|█████████ | 20/22 [00:41<00:02, 1.11s/it] 95%|█████████▌| 21/22 [00:41<00:00, 1.17it/s]100%|██████████| 22/22 [00:41<00:00, 1.47it/s]100%|██████████| 22/22 [00:41<00:00, 1.91s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6017203849690561 --change-- -0.004814147039224226
Val loss: 0.5869848186319525 --change-- -0.041818075559355905
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 126.71807074546814 seconds.
=======================================================================
Epoch 13/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:11<12:02, 11.12s/it] 3%|▎ | 2/66 [00:12<05:33, 5.21s/it] 5%|▍ | 3/66 [00:13<03:28, 3.32s/it] 6%|▌ | 4/66 [00:14<02:30, 2.43s/it] 8%|▊ | 5/66 [00:15<01:58, 1.94s/it] 9%|▉ | 6/66 [00:16<01:38, 1.64s/it] 11%|█ | 7/66 [00:17<01:25, 1.46s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:40, 1.69s/it] 65%|██████▌ | 43/66 [00:58<00:34, 1.50s/it] 67%|██████▋ | 44/66 [00:59<00:30, 1.37s/it] 68%|██████▊ | 45/66 [01:00<00:26, 1.28s/it] 70%|██████▉ | 46/66 [01:01<00:24, 1.22s/it] 71%|███████ | 47/66 [01:02<00:22, 1.17s/it] 73%|███████▎ | 48/66 [01:03<00:20, 1.14s/it] 74%|███████▍ | 49/66 [01:04<00:19, 1.12s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.10s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.09s/it] 79%|███████▉ | 52/66 [01:07<00:15, 1.08s/it] 80%|████████ | 53/66 [01:08<00:14, 1.08s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.08s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<05:59, 17.12s/it] 9%|▉ | 2/22 [00:17<02:24, 7.20s/it] 14%|█▎ | 3/22 [00:17<01:16, 4.04s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.55s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.73s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.23s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.09it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.41it/s] 41%|████ | 9/22 [00:30<00:52, 4.07s/it] 45%|████▌ | 10/22 [00:30<00:34, 2.89s/it] 50%|█████ | 11/22 [00:30<00:22, 2.09s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:31<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:31<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:40<00:14, 2.87s/it] 82%|████████▏ | 18/22 [00:40<00:08, 2.08s/it] 86%|████████▋ | 19/22 [00:41<00:04, 1.54s/it] 91%|█████████ | 20/22 [00:41<00:02, 1.16s/it] 95%|█████████▌| 21/22 [00:41<00:00, 1.12it/s]100%|██████████| 22/22 [00:41<00:00, 1.42it/s]100%|██████████| 22/22 [00:41<00:00, 1.90s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.603368412219841 --change-- 0.0016480272507849447
Val loss: 0.5815815519202839 --change-- -0.005403266711668575
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 128.44794178009033 seconds.
=======================================================================
Epoch 14/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:06<06:53, 6.36s/it] 3%|▎ | 2/66 [00:07<03:27, 3.25s/it] 5%|▍ | 3/66 [00:08<02:21, 2.25s/it] 6%|▌ | 4/66 [00:09<01:50, 1.78s/it] 8%|▊ | 5/66 [00:10<01:33, 1.53s/it] 9%|▉ | 6/66 [00:11<01:22, 1.37s/it] 11%|█ | 7/66 [00:12<01:15, 1.27s/it] 12%|█▏ | 8/66 [00:13<01:10, 1.21s/it] 14%|█▎ | 9/66 [00:14<01:06, 1.16s/it] 15%|█▌ | 10/66 [00:15<01:03, 1.13s/it] 17%|█▋ | 11/66 [00:17<01:01, 1.11s/it] 18%|█▊ | 12/66 [00:18<00:59, 1.10s/it] 20%|█▉ | 13/66 [00:19<00:57, 1.09s/it] 21%|██ | 14/66 [00:20<00:56, 1.08s/it] 23%|██▎ | 15/66 [00:21<00:55, 1.08s/it] 24%|██▍ | 16/66 [00:22<00:53, 1.08s/it] 26%|██▌ | 17/66 [00:23<00:52, 1.07s/it] 27%|██▋ | 18/66 [00:24<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:25<00:50, 1.07s/it] 30%|███ | 20/66 [00:26<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:27<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:28<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:29<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:30<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:32<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:33<00:42, 1.07s/it] 41%|████ | 27/66 [00:34<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:35<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:36<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:37<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:38<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:39<00:36, 1.07s/it] 50%|█████ | 33/66 [00:40<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:41<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:42<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:43<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:44<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:45<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:46<00:28, 1.07s/it] 61%|██████ | 40/66 [00:48<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:49<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:50<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:51<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:52<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:53<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:54<00:21, 1.07s/it] 71%|███████ | 47/66 [00:55<00:20, 1.07s/it] 73%|███████▎ | 48/66 [00:56<00:19, 1.07s/it] 74%|███████▍ | 49/66 [00:57<00:19, 1.12s/it] 76%|███████▌ | 50/66 [00:58<00:17, 1.10s/it] 77%|███████▋ | 51/66 [00:59<00:16, 1.09s/it] 79%|███████▉ | 52/66 [01:01<00:15, 1.09s/it] 80%|████████ | 53/66 [01:02<00:14, 1.08s/it] 82%|████████▏ | 54/66 [01:03<00:12, 1.08s/it] 83%|████████▎ | 55/66 [01:04<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:05<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:06<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:07<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:08<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:09<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:10<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:11<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:12<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:13<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:14<00:01, 1.07s/it]100%|██████████| 66/66 [01:15<00:00, 1.09it/s]100%|██████████| 66/66 [01:15<00:00, 1.14s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:03, 17.30s/it] 9%|▉ | 2/22 [00:17<02:25, 7.28s/it] 14%|█▎ | 3/22 [00:17<01:17, 4.08s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.57s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.74s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.24s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.09it/s] 36%|███▋ | 8/22 [00:19<00:09, 1.40it/s] 41%|████ | 9/22 [00:33<01:06, 5.12s/it] 45%|████▌ | 10/22 [00:34<00:43, 3.62s/it] 50%|█████ | 11/22 [00:34<00:28, 2.60s/it] 55%|█████▍ | 12/22 [00:34<00:18, 1.89s/it] 59%|█████▉ | 13/22 [00:35<00:12, 1.40s/it] 64%|██████▎ | 14/22 [00:35<00:08, 1.05s/it] 68%|██████▊ | 15/22 [00:35<00:05, 1.22it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.54it/s] 77%|███████▋ | 17/22 [00:45<00:17, 3.45s/it] 82%|████████▏ | 18/22 [00:46<00:10, 2.53s/it] 86%|████████▋ | 19/22 [00:46<00:05, 1.85s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.37s/it] 95%|█████████▌| 21/22 [00:46<00:01, 1.04s/it]100%|██████████| 22/22 [00:47<00:00, 1.24it/s]100%|██████████| 22/22 [00:47<00:00, 2.15s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.593057110109402 --change-- -0.010311302110439069
Val loss: 0.586163339289752 --change-- 0.004581787369468016
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 124.93475103378296 seconds.
=======================================================================
Epoch 15/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<07:44, 7.15s/it] 3%|▎ | 2/66 [00:11<05:45, 5.41s/it] 5%|▍ | 3/66 [00:12<03:35, 3.43s/it] 6%|▌ | 4/66 [00:13<02:38, 2.56s/it] 8%|▊ | 5/66 [00:14<02:03, 2.02s/it] 9%|▉ | 6/66 [00:15<01:41, 1.70s/it] 11%|█ | 7/66 [00:16<01:28, 1.49s/it] 12%|█▏ | 8/66 [00:17<01:18, 1.36s/it] 14%|█▎ | 9/66 [00:18<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:20<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:18<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.10it/s]100%|██████████| 66/66 [01:19<00:00, 1.20s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:16, 17.92s/it] 9%|▉ | 2/22 [00:18<02:30, 7.54s/it] 14%|█▎ | 3/22 [00:18<01:20, 4.22s/it] 18%|█▊ | 4/22 [00:18<00:47, 2.66s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.79s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.28s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.06it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.37it/s] 41%|████ | 9/22 [00:33<01:03, 4.88s/it] 45%|████▌ | 10/22 [00:34<00:41, 3.46s/it] 50%|█████ | 11/22 [00:34<00:27, 2.48s/it] 55%|█████▍ | 12/22 [00:34<00:18, 1.81s/it] 59%|█████▉ | 13/22 [00:34<00:12, 1.34s/it] 64%|██████▎ | 14/22 [00:35<00:08, 1.02s/it] 68%|██████▊ | 15/22 [00:35<00:05, 1.27it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.58it/s] 77%|███████▋ | 17/22 [00:44<00:15, 3.16s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.29s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.68s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.04it/s]100%|██████████| 22/22 [00:46<00:00, 1.33it/s]100%|██████████| 22/22 [00:46<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6218016861959268 --change-- 0.02874457608652481
Val loss: 0.5961640057238665 --change-- 0.010000666434114569
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 127.60908555984497 seconds.
=======================================================================
Epoch 16/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<04:06, 3.80s/it] 3%|▎ | 2/66 [00:17<10:09, 9.53s/it] 5%|▍ | 3/66 [00:18<05:56, 5.67s/it] 6%|▌ | 4/66 [00:19<03:58, 3.85s/it] 8%|▊ | 5/66 [00:20<02:53, 2.85s/it] 9%|▉ | 6/66 [00:21<02:14, 2.24s/it] 11%|█ | 7/66 [00:22<01:49, 1.86s/it] 12%|█▏ | 8/66 [00:23<01:33, 1.61s/it] 14%|█▎ | 9/66 [00:24<01:21, 1.44s/it] 15%|█▌ | 10/66 [00:25<01:14, 1.32s/it] 17%|█▋ | 11/66 [00:26<01:08, 1.25s/it] 18%|█▊ | 12/66 [00:28<01:04, 1.19s/it] 20%|█▉ | 13/66 [00:29<01:01, 1.16s/it] 21%|██ | 14/66 [00:30<00:58, 1.13s/it] 23%|██▎ | 15/66 [00:31<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:32<00:54, 1.10s/it] 26%|██▌ | 17/66 [00:33<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:34<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:35<00:50, 1.08s/it] 30%|███ | 20/66 [00:36<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:37<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:38<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:39<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:40<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:41<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:42<00:42, 1.07s/it] 41%|████ | 27/66 [00:44<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:51<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:52<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:53<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:54<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:59<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:00<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:07<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:08<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:09<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:10<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.29s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:31, 18.65s/it] 9%|▉ | 2/22 [00:18<02:36, 7.84s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.38s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:19<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:31<00:50, 3.86s/it] 45%|████▌ | 10/22 [00:31<00:33, 2.75s/it] 50%|█████ | 11/22 [00:31<00:21, 1.99s/it] 55%|█████▍ | 12/22 [00:32<00:14, 1.47s/it] 59%|█████▉ | 13/22 [00:32<00:09, 1.10s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.18it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.81it/s] 77%|███████▋ | 17/22 [00:42<00:16, 3.31s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.39s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.75s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.31s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.01it/s]100%|██████████| 22/22 [00:44<00:00, 1.29it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6204549743018988 --change-- -0.0013467118940280187
Val loss: 0.5872281478209929 --change-- -0.008935857902873656
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.4667525291443 seconds.
=======================================================================
Epoch 17/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:20, 7.70s/it] 3%|▎ | 2/66 [00:10<05:04, 4.75s/it] 5%|▍ | 3/66 [00:11<03:13, 3.07s/it] 6%|▌ | 4/66 [00:12<02:21, 2.28s/it] 8%|▊ | 5/66 [00:13<01:52, 1.84s/it] 9%|▉ | 6/66 [00:16<02:04, 2.08s/it] 11%|█ | 7/66 [00:17<01:43, 1.75s/it] 12%|█▏ | 8/66 [00:18<01:28, 1.53s/it] 14%|█▎ | 9/66 [00:19<01:18, 1.39s/it] 15%|█▌ | 10/66 [00:20<01:12, 1.29s/it] 17%|█▋ | 11/66 [00:21<01:07, 1.22s/it] 18%|█▊ | 12/66 [00:22<01:03, 1.17s/it] 20%|█▉ | 13/66 [00:23<01:00, 1.14s/it] 21%|██ | 14/66 [00:24<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:25<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.08s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:21, 1.11s/it] 73%|███████▎ | 48/66 [01:01<00:20, 1.16s/it] 74%|███████▍ | 49/66 [01:02<00:19, 1.13s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.11s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.10s/it] 79%|███████▉ | 52/66 [01:05<00:15, 1.09s/it] 80%|████████ | 53/66 [01:06<00:14, 1.08s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.08s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.10it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:10, 17.64s/it] 9%|▉ | 2/22 [00:17<02:28, 7.42s/it] 14%|█▎ | 3/22 [00:18<01:18, 4.15s/it] 18%|█▊ | 4/22 [00:18<00:47, 2.62s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.77s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.26s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.07it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.39it/s] 41%|████ | 9/22 [00:31<00:54, 4.16s/it] 45%|████▌ | 10/22 [00:31<00:35, 2.96s/it] 50%|█████ | 11/22 [00:31<00:23, 2.14s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:42<00:15, 3.10s/it] 82%|████████▏ | 18/22 [00:42<00:09, 2.25s/it] 86%|████████▋ | 19/22 [00:42<00:04, 1.65s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.24s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.06it/s]100%|██████████| 22/22 [00:43<00:00, 1.35it/s]100%|██████████| 22/22 [00:43<00:00, 1.97s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6110001163173268 --change-- -0.009454857984572018
Val loss: 0.5894938653165643 --change-- 0.002265717495571473
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 125.64976954460144 seconds.
=======================================================================
Epoch 18/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:11<12:19, 11.38s/it] 3%|▎ | 2/66 [00:12<05:39, 5.31s/it] 5%|▍ | 3/66 [00:13<03:32, 3.37s/it] 6%|▌ | 4/66 [00:14<02:32, 2.46s/it] 8%|▊ | 5/66 [00:15<01:59, 1.96s/it] 9%|▉ | 6/66 [00:16<01:39, 1.66s/it] 11%|█ | 7/66 [00:17<01:26, 1.46s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.34s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:07, 1.20s/it] 17%|█▋ | 11/66 [00:22<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.13s/it] 20%|█▉ | 13/66 [00:24<00:58, 1.11s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.10it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:29, 21.40s/it] 9%|▉ | 2/22 [00:21<02:59, 8.97s/it] 14%|█▎ | 3/22 [00:21<01:34, 4.99s/it] 18%|█▊ | 4/22 [00:22<00:56, 3.13s/it] 23%|██▎ | 5/22 [00:22<00:35, 2.10s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.47s/it] 32%|███▏ | 7/22 [00:22<00:16, 1.08s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.22it/s] 41%|████ | 9/22 [00:33<00:50, 3.85s/it] 45%|████▌ | 10/22 [00:34<00:32, 2.74s/it] 50%|█████ | 11/22 [00:34<00:21, 1.99s/it] 55%|█████▍ | 12/22 [00:34<00:14, 1.46s/it] 59%|█████▉ | 13/22 [00:34<00:09, 1.10s/it] 64%|██████▎ | 14/22 [00:35<00:06, 1.18it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.49it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.82it/s] 77%|███████▋ | 17/22 [00:44<00:15, 3.12s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.26s/it] 86%|████████▋ | 19/22 [00:45<00:04, 1.66s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.24s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.05it/s]100%|██████████| 22/22 [00:46<00:00, 1.34it/s]100%|██████████| 22/22 [00:46<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5956367681954653 --change-- -0.015363348121861464
Val loss: 0.6104181137951937 --change-- 0.020924248478629393
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.58505249023438 seconds.
=======================================================================
Epoch 19/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:16<18:08, 16.75s/it] 3%|▎ | 2/66 [00:17<08:01, 7.53s/it] 5%|▍ | 3/66 [00:18<04:48, 4.58s/it] 6%|▌ | 4/66 [00:19<03:17, 3.19s/it] 8%|▊ | 5/66 [00:21<02:27, 2.43s/it] 9%|▉ | 6/66 [00:22<01:57, 1.96s/it] 11%|█ | 7/66 [00:23<01:38, 1.67s/it] 12%|█▏ | 8/66 [00:24<01:25, 1.48s/it] 14%|█▎ | 9/66 [00:25<01:17, 1.35s/it] 15%|█▌ | 10/66 [00:26<01:10, 1.26s/it] 17%|█▋ | 11/66 [00:27<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:28<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:29<01:00, 1.13s/it] 21%|██ | 14/66 [00:30<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:31<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:32<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:33<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:34<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:35<00:50, 1.08s/it] 30%|███ | 20/66 [00:37<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:38<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:39<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:40<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:41<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:42<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:43<00:42, 1.07s/it] 41%|████ | 27/66 [00:44<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:55<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:56<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:57<00:28, 1.07s/it] 61%|██████ | 40/66 [00:58<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:59<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:00<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:10<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:11<00:14, 1.07s/it] 80%|████████ | 53/66 [01:12<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:13<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:14<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.10it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:09, 17.59s/it] 9%|▉ | 2/22 [00:17<02:28, 7.40s/it] 14%|█▎ | 3/22 [00:18<01:22, 4.33s/it] 18%|█▊ | 4/22 [00:18<00:49, 2.72s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.84s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.30s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.35it/s] 41%|████ | 9/22 [00:28<00:41, 3.20s/it] 45%|████▌ | 10/22 [00:34<00:48, 4.00s/it] 50%|█████ | 11/22 [00:34<00:31, 2.86s/it] 55%|█████▍ | 12/22 [00:34<00:20, 2.07s/it] 59%|█████▉ | 13/22 [00:35<00:13, 1.52s/it] 64%|██████▎ | 14/22 [00:35<00:09, 1.14s/it] 68%|██████▊ | 15/22 [00:35<00:06, 1.14it/s] 73%|███████▎ | 16/22 [00:35<00:04, 1.44it/s] 77%|███████▋ | 17/22 [00:41<00:10, 2.11s/it] 82%|████████▏ | 18/22 [00:44<00:10, 2.58s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.89s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.40s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.06s/it]100%|██████████| 22/22 [00:46<00:00, 1.22it/s]100%|██████████| 22/22 [00:46<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6072738175173752 --change-- 0.011637049321909898
Val loss: 0.5884294184771451 --change-- -0.02198869531804859
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.9166750907898 seconds.
=======================================================================
Epoch 20/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:18<19:54, 18.38s/it] 3%|▎ | 2/66 [00:19<08:44, 8.20s/it] 5%|▍ | 3/66 [00:20<05:11, 4.94s/it] 6%|▌ | 4/66 [00:21<03:31, 3.41s/it] 8%|▊ | 5/66 [00:22<02:36, 2.57s/it] 9%|▉ | 6/66 [00:23<02:03, 2.06s/it] 11%|█ | 7/66 [00:24<01:42, 1.73s/it] 12%|█▏ | 8/66 [00:25<01:28, 1.52s/it] 14%|█▎ | 9/66 [00:26<01:18, 1.38s/it] 15%|█▌ | 10/66 [00:27<01:11, 1.28s/it] 17%|█▋ | 11/66 [00:29<01:06, 1.22s/it] 18%|█▊ | 12/66 [00:30<01:03, 1.17s/it] 20%|█▉ | 13/66 [00:31<01:00, 1.14s/it] 21%|██ | 14/66 [00:32<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:33<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:34<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:35<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:36<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:37<00:50, 1.08s/it] 30%|███ | 20/66 [00:38<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:39<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:40<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:41<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:42<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:44<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:45<00:42, 1.07s/it] 41%|████ | 27/66 [00:46<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:47<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:48<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:49<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:50<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:51<00:36, 1.07s/it] 50%|█████ | 33/66 [00:52<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:53<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:54<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:55<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:56<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:57<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:58<00:28, 1.07s/it] 61%|██████ | 40/66 [01:00<00:27, 1.07s/it] 62%|██████▏ | 41/66 [01:01<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:02<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:03<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:04<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:05<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:06<00:21, 1.07s/it] 71%|███████ | 47/66 [01:07<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:08<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:09<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:10<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:11<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:12<00:14, 1.07s/it] 80%|████████ | 53/66 [01:13<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:15<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:16<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:17<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:18<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:19<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:20<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:21<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:22<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:23<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:24<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:25<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:26<00:01, 1.07s/it]100%|██████████| 66/66 [01:27<00:00, 1.09it/s]100%|██████████| 66/66 [01:27<00:00, 1.32s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:20, 18.12s/it] 9%|▉ | 2/22 [00:18<02:32, 7.62s/it] 14%|█▎ | 3/22 [00:18<01:20, 4.26s/it] 18%|█▊ | 4/22 [00:18<00:48, 2.68s/it] 23%|██▎ | 5/22 [00:19<00:30, 1.81s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.05it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.36it/s] 41%|████ | 9/22 [00:31<00:53, 4.11s/it] 45%|████▌ | 10/22 [00:31<00:35, 2.92s/it] 50%|█████ | 11/22 [00:32<00:23, 2.11s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.55s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.12it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.42it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:42<00:16, 3.27s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.37s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.74s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.01it/s]100%|██████████| 22/22 [00:44<00:00, 1.30it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.600556674349399 --change-- -0.006717143167976225
Val loss: 0.595134212212129 --change-- 0.006704793734983894
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.95450377464294 seconds.
=======================================================================
Epoch 21/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:06<07:30, 6.94s/it] 3%|▎ | 2/66 [00:11<05:53, 5.52s/it] 5%|▍ | 3/66 [00:12<03:39, 3.49s/it] 6%|▌ | 4/66 [00:13<02:37, 2.53s/it] 8%|▊ | 5/66 [00:14<02:02, 2.00s/it] 9%|▉ | 6/66 [00:15<01:41, 1.69s/it] 11%|█ | 7/66 [00:16<01:27, 1.48s/it] 12%|█▏ | 8/66 [00:17<01:18, 1.35s/it] 14%|█▎ | 9/66 [00:18<01:11, 1.26s/it] 15%|█▌ | 10/66 [00:20<01:07, 1.20s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.13s/it] 20%|█▉ | 13/66 [00:23<01:09, 1.32s/it] 21%|██ | 14/66 [00:24<01:04, 1.24s/it] 23%|██▎ | 15/66 [00:26<01:00, 1.19s/it] 24%|██▍ | 16/66 [00:27<00:57, 1.15s/it] 26%|██▌ | 17/66 [00:28<00:55, 1.13s/it] 27%|██▋ | 18/66 [00:33<01:53, 2.35s/it] 29%|██▉ | 19/66 [00:34<01:32, 1.97s/it] 30%|███ | 20/66 [00:35<01:18, 1.70s/it] 32%|███▏ | 21/66 [00:36<01:07, 1.51s/it] 33%|███▎ | 22/66 [00:37<01:00, 1.38s/it] 35%|███▍ | 23/66 [00:38<00:55, 1.28s/it] 36%|███▋ | 24/66 [00:39<00:51, 1.22s/it] 38%|███▊ | 25/66 [00:40<00:48, 1.17s/it] 39%|███▉ | 26/66 [00:41<00:45, 1.14s/it] 41%|████ | 27/66 [00:42<00:43, 1.12s/it] 42%|████▏ | 28/66 [00:44<00:41, 1.10s/it] 44%|████▍ | 29/66 [00:45<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:46<00:39, 1.09s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.08s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:59<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:00<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:01<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:02<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.07s/it] 71%|███████ | 47/66 [01:04<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:15<00:19, 1.74s/it] 85%|████████▍ | 56/66 [01:16<00:15, 1.53s/it] 86%|████████▋ | 57/66 [01:17<00:12, 1.39s/it] 88%|████████▊ | 58/66 [01:18<00:10, 1.30s/it] 89%|████████▉ | 59/66 [01:19<00:08, 1.23s/it] 91%|█████████ | 60/66 [01:20<00:07, 1.18s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.15s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.12s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.11s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.09s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.09s/it]100%|██████████| 66/66 [01:26<00:00, 1.08it/s]100%|██████████| 66/66 [01:26<00:00, 1.31s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:25, 18.35s/it] 9%|▉ | 2/22 [00:18<02:34, 7.71s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.31s/it] 18%|█▊ | 4/22 [00:19<00:48, 2.72s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.83s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.30s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.35it/s] 41%|████ | 9/22 [00:31<00:52, 4.01s/it] 45%|████▌ | 10/22 [00:31<00:34, 2.90s/it] 50%|█████ | 11/22 [00:32<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:42<00:16, 3.23s/it] 82%|████████▏ | 18/22 [00:43<00:10, 2.51s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.83s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.36s/it] 95%|█████████▌| 21/22 [00:44<00:01, 1.03s/it]100%|██████████| 22/22 [00:44<00:00, 1.25it/s]100%|██████████| 22/22 [00:44<00:00, 2.03s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5971772115649158 --change-- -0.0033794627844832004
Val loss: 0.5901633534919132 --change-- -0.004970858720215854
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.45198798179626 seconds.
=======================================================================
Epoch 22/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:49, 10.91s/it] 3%|▎ | 2/66 [00:11<05:27, 5.12s/it] 5%|▍ | 3/66 [00:13<03:26, 3.27s/it] 6%|▌ | 4/66 [00:14<02:28, 2.40s/it] 8%|▊ | 5/66 [00:15<01:57, 1.92s/it] 9%|▉ | 6/66 [00:16<01:37, 1.63s/it] 11%|█ | 7/66 [00:17<01:25, 1.45s/it] 12%|█▏ | 8/66 [00:18<01:16, 1.33s/it] 14%|█▎ | 9/66 [00:19<01:10, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.10it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:05, 17.42s/it] 9%|▉ | 2/22 [00:17<02:26, 7.33s/it] 14%|█▎ | 3/22 [00:17<01:17, 4.11s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.59s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.75s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.25s/it] 32%|███▏ | 7/22 [00:19<00:13, 1.08it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.40it/s] 41%|████ | 9/22 [00:30<00:51, 3.97s/it] 45%|████▌ | 10/22 [00:30<00:33, 2.83s/it] 50%|█████ | 11/22 [00:31<00:23, 2.14s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:31<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:41<00:15, 3.01s/it] 82%|████████▏ | 18/22 [00:41<00:08, 2.23s/it] 86%|████████▋ | 19/22 [00:41<00:04, 1.64s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.23s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.07it/s]100%|██████████| 22/22 [00:42<00:00, 1.36it/s]100%|██████████| 22/22 [00:42<00:00, 1.94s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6040948273343895 --change-- 0.006917615769473695
Val loss: 0.5953361798416484 --change-- 0.00517282634973526
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 124.75507521629333 seconds.
=======================================================================
Epoch 23/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:26, 9.64s/it] 3%|▎ | 2/66 [00:11<05:26, 5.10s/it] 5%|▍ | 3/66 [00:12<03:25, 3.26s/it] 6%|▌ | 4/66 [00:13<02:28, 2.39s/it] 8%|▊ | 5/66 [00:14<01:56, 1.92s/it] 9%|▉ | 6/66 [00:15<01:37, 1.63s/it] 11%|█ | 7/66 [00:16<01:25, 1.44s/it] 12%|█▏ | 8/66 [00:17<01:16, 1.32s/it] 14%|█▎ | 9/66 [00:19<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:20<01:15, 1.34s/it] 17%|█▋ | 11/66 [00:21<01:09, 1.26s/it] 18%|█▊ | 12/66 [00:22<01:04, 1.20s/it] 20%|█▉ | 13/66 [00:23<01:01, 1.16s/it] 21%|██ | 14/66 [00:24<00:58, 1.13s/it] 23%|██▎ | 15/66 [00:25<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.10s/it] 26%|██▌ | 17/66 [00:28<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.08s/it] 30%|███ | 20/66 [00:31<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.09it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:21, 18.16s/it] 9%|▉ | 2/22 [00:18<02:32, 7.63s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.27s/it] 18%|█▊ | 4/22 [00:18<00:48, 2.69s/it] 23%|██▎ | 5/22 [00:19<00:30, 1.82s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.05it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.36it/s] 41%|████ | 9/22 [00:31<00:51, 3.96s/it] 45%|████▌ | 10/22 [00:31<00:33, 2.82s/it] 50%|█████ | 11/22 [00:31<00:22, 2.04s/it] 55%|█████▍ | 12/22 [00:31<00:14, 1.50s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.13s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.15it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.46it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.79it/s] 77%|███████▋ | 17/22 [00:40<00:14, 2.81s/it] 82%|████████▏ | 18/22 [00:41<00:08, 2.04s/it] 86%|████████▋ | 19/22 [00:41<00:04, 1.51s/it] 91%|█████████ | 20/22 [00:41<00:02, 1.14s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.14it/s]100%|██████████| 22/22 [00:42<00:00, 1.45it/s]100%|██████████| 22/22 [00:42<00:00, 1.92s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5968149693412635 --change-- -0.0072798579931259155
Val loss: 0.5894112465056506 --change-- -0.005924933335997862
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 124.29603791236877 seconds.
=======================================================================
Epoch 24/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:59, 3.69s/it] 3%|▎ | 2/66 [00:07<03:51, 3.62s/it] 5%|▍ | 3/66 [00:08<02:34, 2.45s/it] 6%|▌ | 4/66 [00:11<02:53, 2.80s/it] 8%|▊ | 5/66 [00:12<02:12, 2.18s/it] 9%|▉ | 6/66 [00:13<01:48, 1.80s/it] 11%|█ | 7/66 [00:14<01:32, 1.56s/it] 12%|█▏ | 8/66 [00:15<01:21, 1.40s/it] 14%|█▎ | 9/66 [00:17<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:18<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:19<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:20<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:21<00:59, 1.12s/it] 21%|██ | 14/66 [00:22<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:23<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:24<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:25<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:31<02:03, 2.57s/it] 29%|██▉ | 19/66 [00:32<01:39, 2.12s/it] 30%|███ | 20/66 [00:33<01:23, 1.81s/it] 32%|███▏ | 21/66 [00:34<01:11, 1.58s/it] 33%|███▎ | 22/66 [00:35<01:02, 1.43s/it] 35%|███▍ | 23/66 [00:36<00:56, 1.32s/it] 36%|███▋ | 24/66 [00:38<00:52, 1.25s/it] 38%|███▊ | 25/66 [00:39<00:48, 1.19s/it] 39%|███▉ | 26/66 [00:40<00:46, 1.16s/it] 41%|████ | 27/66 [00:41<00:44, 1.13s/it] 42%|████▏ | 28/66 [00:42<00:42, 1.11s/it] 44%|████▍ | 29/66 [00:43<00:40, 1.10s/it] 45%|████▌ | 30/66 [00:44<00:39, 1.09s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.08s/it] 50%|█████ | 33/66 [00:47<00:35, 1.08s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:51<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:03<00:30, 1.51s/it] 71%|███████ | 47/66 [01:04<00:26, 1.38s/it] 73%|███████▎ | 48/66 [01:05<00:23, 1.29s/it] 74%|███████▍ | 49/66 [01:06<00:20, 1.22s/it] 76%|███████▌ | 50/66 [01:07<00:18, 1.17s/it] 77%|███████▋ | 51/66 [01:08<00:17, 1.14s/it] 79%|███████▉ | 52/66 [01:09<00:15, 1.12s/it] 80%|████████ | 53/66 [01:10<00:14, 1.10s/it] 82%|████████▏ | 54/66 [01:12<00:17, 1.47s/it] 83%|████████▎ | 55/66 [01:13<00:14, 1.35s/it] 85%|████████▍ | 56/66 [01:14<00:12, 1.26s/it] 86%|████████▋ | 57/66 [01:15<00:10, 1.20s/it] 88%|████████▊ | 58/66 [01:17<00:09, 1.16s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.13s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.11s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.10s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.09s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.08s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.29s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<05:57, 17.04s/it] 9%|▉ | 2/22 [00:17<02:23, 7.17s/it] 14%|█▎ | 3/22 [00:17<01:16, 4.03s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.54s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.72s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.23s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.09it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.41it/s] 41%|████ | 9/22 [00:30<00:52, 4.03s/it] 45%|████▌ | 10/22 [00:30<00:34, 2.87s/it] 50%|█████ | 11/22 [00:30<00:22, 2.07s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.52s/it] 59%|█████▉ | 13/22 [00:31<00:10, 1.14s/it] 64%|██████▎ | 14/22 [00:31<00:07, 1.14it/s] 68%|██████▊ | 15/22 [00:31<00:04, 1.44it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.77it/s] 77%|███████▋ | 17/22 [00:41<00:15, 3.15s/it] 82%|████████▏ | 18/22 [00:41<00:09, 2.28s/it] 86%|████████▋ | 19/22 [00:41<00:05, 1.68s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.25s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.05it/s]100%|██████████| 22/22 [00:42<00:00, 1.33it/s]100%|██████████| 22/22 [00:42<00:00, 1.94s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.601458992439372 --change-- 0.004644023098108407
Val loss: 0.585873928937045 --change-- -0.003537317568605536
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.9654517173767 seconds.
=======================================================================
Epoch 25/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:26, 10.56s/it] 3%|▎ | 2/66 [00:11<05:18, 4.98s/it] 5%|▍ | 3/66 [00:12<03:21, 3.19s/it] 6%|▌ | 4/66 [00:13<02:25, 2.35s/it] 8%|▊ | 5/66 [00:14<01:55, 1.89s/it] 9%|▉ | 6/66 [00:15<01:36, 1.61s/it] 11%|█ | 7/66 [00:16<01:24, 1.43s/it] 12%|█▏ | 8/66 [00:18<01:16, 1.32s/it] 14%|█▎ | 9/66 [00:19<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:22<01:02, 1.15s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.13s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:54, 1.33s/it] 39%|███▉ | 26/66 [00:38<00:49, 1.25s/it] 41%|████ | 27/66 [00:39<00:46, 1.19s/it] 42%|████▏ | 28/66 [00:40<00:43, 1.16s/it] 44%|████▍ | 29/66 [00:41<00:41, 1.13s/it] 45%|████▌ | 30/66 [00:42<00:40, 1.11s/it] 47%|████▋ | 31/66 [00:43<00:38, 1.10s/it] 48%|████▊ | 32/66 [00:44<00:37, 1.09s/it] 50%|█████ | 33/66 [00:45<00:35, 1.08s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.08s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:23, 18.27s/it] 9%|▉ | 2/22 [00:18<02:33, 7.68s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.29s/it] 18%|█▊ | 4/22 [00:19<00:48, 2.70s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.82s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.36it/s] 41%|████ | 9/22 [00:32<00:55, 4.24s/it] 45%|████▌ | 10/22 [00:32<00:36, 3.02s/it] 50%|█████ | 11/22 [00:32<00:24, 2.21s/it] 55%|█████▍ | 12/22 [00:32<00:16, 1.62s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.21s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.08it/s] 68%|██████▊ | 15/22 [00:33<00:05, 1.38it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.70it/s] 77%|███████▋ | 17/22 [00:43<00:15, 3.16s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.29s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.68s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.27s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.03it/s]100%|██████████| 22/22 [00:44<00:00, 1.32it/s]100%|██████████| 22/22 [00:44<00:00, 2.03s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5911990370004232 --change-- -0.010259955438948754
Val loss: 0.5939949967644431 --change-- 0.008121067827398076
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 127.1331295967102 seconds.
=======================================================================
Epoch 26/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:27, 3.19s/it] 3%|▎ | 2/66 [00:07<03:55, 3.68s/it] 5%|▍ | 3/66 [00:08<02:36, 2.49s/it] 6%|▌ | 4/66 [00:10<02:24, 2.33s/it] 8%|▊ | 5/66 [00:11<01:54, 1.88s/it] 9%|▉ | 6/66 [00:12<01:36, 1.60s/it] 11%|█ | 7/66 [00:13<01:24, 1.43s/it] 12%|█▏ | 8/66 [00:14<01:16, 1.31s/it] 14%|█▎ | 9/66 [00:15<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:16<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:17<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:18<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:20<00:58, 1.11s/it] 21%|██ | 14/66 [00:21<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:22<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:23<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:24<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:25<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:26<00:50, 1.07s/it] 30%|███ | 20/66 [00:27<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:28<00:50, 1.12s/it] 33%|███▎ | 22/66 [00:29<00:48, 1.11s/it] 35%|███▍ | 23/66 [00:33<01:20, 1.86s/it] 36%|███▋ | 24/66 [00:34<01:08, 1.62s/it] 38%|███▊ | 25/66 [00:35<00:59, 1.46s/it] 39%|███▉ | 26/66 [00:36<00:53, 1.34s/it] 41%|████ | 27/66 [00:37<00:49, 1.26s/it] 42%|████▏ | 28/66 [00:38<00:45, 1.20s/it] 44%|████▍ | 29/66 [00:39<00:42, 1.16s/it] 45%|████▌ | 30/66 [00:40<00:40, 1.13s/it] 47%|████▋ | 31/66 [00:41<00:38, 1.11s/it] 48%|████▊ | 32/66 [00:43<00:37, 1.10s/it] 50%|█████ | 33/66 [00:44<00:35, 1.09s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.08s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.08s/it] 56%|█████▌ | 37/66 [00:48<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:30, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:57<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:20, 1.54s/it] 82%|████████▏ | 54/66 [01:08<00:16, 1.40s/it] 83%|████████▎ | 55/66 [01:09<00:14, 1.30s/it] 85%|████████▍ | 56/66 [01:10<00:12, 1.23s/it] 86%|████████▋ | 57/66 [01:11<00:10, 1.18s/it] 88%|████████▊ | 58/66 [01:12<00:09, 1.15s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.12s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.11s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.09s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.09s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.08s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:23<08:15, 23.57s/it] 9%|▉ | 2/22 [00:23<03:17, 9.86s/it] 14%|█▎ | 3/22 [00:24<01:44, 5.48s/it] 18%|█▊ | 4/22 [00:24<01:01, 3.42s/it] 23%|██▎ | 5/22 [00:24<00:38, 2.28s/it] 27%|██▋ | 6/22 [00:24<00:25, 1.60s/it] 32%|███▏ | 7/22 [00:25<00:17, 1.16s/it] 36%|███▋ | 8/22 [00:25<00:12, 1.14it/s] 41%|████ | 9/22 [00:37<00:54, 4.22s/it] 45%|████▌ | 10/22 [00:37<00:36, 3.00s/it] 50%|█████ | 11/22 [00:37<00:23, 2.16s/it] 55%|█████▍ | 12/22 [00:37<00:15, 1.59s/it] 59%|█████▉ | 13/22 [00:38<00:10, 1.19s/it] 64%|██████▎ | 14/22 [00:38<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:38<00:05, 1.40it/s] 73%|███████▎ | 16/22 [00:38<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:50<00:18, 3.76s/it] 82%|████████▏ | 18/22 [00:50<00:10, 2.75s/it] 86%|████████▋ | 19/22 [00:50<00:06, 2.00s/it] 91%|█████████ | 20/22 [00:50<00:02, 1.48s/it] 95%|█████████▌| 21/22 [00:51<00:01, 1.12s/it]100%|██████████| 22/22 [00:51<00:00, 1.16it/s]100%|██████████| 22/22 [00:51<00:00, 2.34s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5939938786603113 --change-- 0.002794841659888081
Val loss: 0.5923242284493013 --change-- -0.0016707683151417907
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.1676173210144 seconds.
=======================================================================
Epoch 27/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:11, 10.33s/it] 3%|▎ | 2/66 [00:12<05:59, 5.62s/it] 5%|▍ | 3/66 [00:13<03:43, 3.54s/it] 6%|▌ | 4/66 [00:14<02:39, 2.57s/it] 8%|▊ | 5/66 [00:15<02:03, 2.03s/it] 9%|▉ | 6/66 [00:16<01:41, 1.70s/it] 11%|█ | 7/66 [00:17<01:28, 1.49s/it] 12%|█▏ | 8/66 [00:19<01:18, 1.36s/it] 14%|█▎ | 9/66 [00:20<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:21<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.16s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.11s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:40, 19.06s/it] 9%|▉ | 2/22 [00:19<02:40, 8.01s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.47s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.81s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.89s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.34s/it] 32%|███▏ | 7/22 [00:23<00:27, 1.83s/it] 36%|███▋ | 8/22 [00:23<00:18, 1.33s/it] 41%|████ | 9/22 [00:33<00:53, 4.13s/it] 45%|████▌ | 10/22 [00:36<00:43, 3.59s/it] 50%|█████ | 11/22 [00:36<00:28, 2.57s/it] 55%|█████▍ | 12/22 [00:36<00:18, 1.87s/it] 59%|█████▉ | 13/22 [00:36<00:12, 1.39s/it] 64%|██████▎ | 14/22 [00:37<00:08, 1.05s/it] 68%|██████▊ | 15/22 [00:41<00:13, 1.92s/it] 73%|███████▎ | 16/22 [00:41<00:08, 1.42s/it] 77%|███████▋ | 17/22 [00:46<00:12, 2.41s/it] 82%|████████▏ | 18/22 [00:47<00:08, 2.20s/it] 86%|████████▋ | 19/22 [00:48<00:04, 1.62s/it] 91%|█████████ | 20/22 [00:49<00:02, 1.40s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.06s/it]100%|██████████| 22/22 [00:49<00:00, 1.22it/s]100%|██████████| 22/22 [00:49<00:00, 2.25s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6024497779271075 --change-- 0.00845589926679624
Val loss: 0.5899844508279454 --change-- -0.002339777621355954
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.47020196914673 seconds.
=======================================================================
Epoch 28/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:11<12:17, 11.35s/it] 3%|▎ | 2/66 [00:12<05:39, 5.30s/it] 5%|▍ | 3/66 [00:13<03:32, 3.37s/it] 6%|▌ | 4/66 [00:14<02:32, 2.46s/it] 8%|▊ | 5/66 [00:15<01:59, 1.96s/it] 9%|▉ | 6/66 [00:16<01:39, 1.66s/it] 11%|█ | 7/66 [00:17<01:26, 1.46s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.34s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:22<01:29, 1.60s/it] 17%|█▋ | 11/66 [00:23<01:19, 1.44s/it] 18%|█▊ | 12/66 [00:24<01:11, 1.33s/it] 20%|█▉ | 13/66 [00:25<01:06, 1.25s/it] 21%|██ | 14/66 [00:26<01:02, 1.19s/it] 23%|██▎ | 15/66 [00:27<00:58, 1.16s/it] 24%|██▍ | 16/66 [00:28<00:56, 1.13s/it] 26%|██▌ | 17/66 [00:29<00:54, 1.11s/it] 27%|██▋ | 18/66 [00:30<00:52, 1.10s/it] 29%|██▉ | 19/66 [00:31<00:51, 1.09s/it] 30%|███ | 20/66 [00:32<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.08s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:36<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:37<00:45, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:50, 1.40s/it] 47%|████▋ | 31/66 [00:45<00:45, 1.30s/it] 48%|████▊ | 32/66 [00:46<00:41, 1.23s/it] 50%|█████ | 33/66 [00:47<00:38, 1.18s/it] 52%|█████▏ | 34/66 [00:49<00:36, 1.15s/it] 53%|█████▎ | 35/66 [00:50<00:34, 1.12s/it] 55%|█████▍ | 36/66 [00:51<00:33, 1.11s/it] 56%|█████▌ | 37/66 [00:52<00:31, 1.10s/it] 58%|█████▊ | 38/66 [00:54<00:42, 1.52s/it] 59%|█████▉ | 39/66 [00:55<00:37, 1.38s/it] 61%|██████ | 40/66 [00:56<00:33, 1.29s/it] 62%|██████▏ | 41/66 [00:57<00:30, 1.22s/it] 64%|██████▎ | 42/66 [00:58<00:28, 1.18s/it] 65%|██████▌ | 43/66 [01:00<00:26, 1.14s/it] 67%|██████▋ | 44/66 [01:01<00:24, 1.12s/it] 68%|██████▊ | 45/66 [01:02<00:23, 1.11s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.09s/it] 71%|███████ | 47/66 [01:04<00:20, 1.09s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:13<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:40, 19.07s/it] 9%|▉ | 2/22 [00:19<02:40, 8.01s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.47s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.81s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.89s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.34s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:31<00:51, 3.98s/it] 45%|████▌ | 10/22 [00:32<00:33, 2.83s/it] 50%|█████ | 11/22 [00:32<00:22, 2.05s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.50s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.13s/it] 64%|██████▎ | 14/22 [00:33<00:06, 1.15it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.46it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.79it/s] 77%|███████▋ | 17/22 [00:47<00:22, 4.56s/it] 82%|████████▏ | 18/22 [00:47<00:13, 3.27s/it] 86%|████████▋ | 19/22 [00:48<00:07, 2.37s/it] 91%|█████████ | 20/22 [00:48<00:03, 1.74s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.29s/it]100%|██████████| 22/22 [00:49<00:00, 1.01it/s]100%|██████████| 22/22 [00:49<00:00, 2.23s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.606053248161578 --change-- 0.003603470234470496
Val loss: 0.5926167097958651 --change-- 0.002632258967919743
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.48246359825134 seconds.
=======================================================================
Epoch 29/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:24, 7.76s/it] 3%|▎ | 2/66 [00:10<05:17, 4.96s/it] 5%|▍ | 3/66 [00:13<04:13, 4.03s/it] 6%|▌ | 4/66 [00:15<03:09, 3.05s/it] 8%|▊ | 5/66 [00:16<02:22, 2.34s/it] 9%|▉ | 6/66 [00:17<01:54, 1.90s/it] 11%|█ | 7/66 [00:18<01:36, 1.63s/it] 12%|█▏ | 8/66 [00:19<01:24, 1.45s/it] 14%|█▎ | 9/66 [00:20<01:15, 1.33s/it] 15%|█▌ | 10/66 [00:21<01:10, 1.25s/it] 17%|█▋ | 11/66 [00:22<01:05, 1.20s/it] 18%|█▊ | 12/66 [00:24<01:08, 1.27s/it] 20%|█▉ | 13/66 [00:25<01:04, 1.21s/it] 21%|██ | 14/66 [00:26<01:00, 1.17s/it] 23%|██▎ | 15/66 [00:27<00:57, 1.14s/it] 24%|██▍ | 16/66 [00:28<00:55, 1.12s/it] 26%|██▌ | 17/66 [00:29<00:53, 1.10s/it] 27%|██▋ | 18/66 [00:30<00:52, 1.09s/it] 29%|██▉ | 19/66 [00:31<00:50, 1.08s/it] 30%|███ | 20/66 [00:32<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:33<00:48, 1.08s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:55, 1.45s/it] 44%|████▍ | 29/66 [00:43<00:49, 1.34s/it] 45%|████▌ | 30/66 [00:44<00:45, 1.26s/it] 47%|████▋ | 31/66 [00:45<00:42, 1.20s/it] 48%|████▊ | 32/66 [00:46<00:39, 1.16s/it] 50%|█████ | 33/66 [00:47<00:37, 1.13s/it] 52%|█████▏ | 34/66 [00:48<00:35, 1.11s/it] 53%|█████▎ | 35/66 [00:50<00:34, 1.10s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.09s/it] 56%|█████▌ | 37/66 [00:52<00:31, 1.08s/it] 58%|█████▊ | 38/66 [00:53<00:30, 1.08s/it] 59%|█████▉ | 39/66 [00:54<00:29, 1.08s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:22<07:47, 22.28s/it] 9%|▉ | 2/22 [00:22<03:06, 9.33s/it] 14%|█▎ | 3/22 [00:22<01:38, 5.19s/it] 18%|█▊ | 4/22 [00:23<00:58, 3.25s/it] 23%|██▎ | 5/22 [00:23<00:36, 2.17s/it] 27%|██▋ | 6/22 [00:23<00:24, 1.52s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.11s/it] 36%|███▋ | 8/22 [00:24<00:11, 1.19it/s] 41%|████ | 9/22 [00:36<00:57, 4.39s/it] 45%|████▌ | 10/22 [00:36<00:37, 3.12s/it] 50%|█████ | 11/22 [00:36<00:24, 2.24s/it] 55%|█████▍ | 12/22 [00:37<00:16, 1.64s/it] 59%|█████▉ | 13/22 [00:37<00:11, 1.23s/it] 64%|██████▎ | 14/22 [00:37<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:37<00:05, 1.36it/s] 73%|███████▎ | 16/22 [00:38<00:03, 1.69it/s] 77%|███████▋ | 17/22 [00:46<00:15, 3.00s/it] 82%|████████▏ | 18/22 [00:47<00:08, 2.18s/it] 86%|████████▋ | 19/22 [00:47<00:04, 1.61s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.20s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.09it/s]100%|██████████| 22/22 [00:48<00:00, 1.38it/s]100%|██████████| 22/22 [00:48<00:00, 2.19s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5914556891408586 --change-- -0.014597559020719464
Val loss: 0.5980385961857709 --change-- 0.005421886389905817
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.71853232383728 seconds.
=======================================================================
Epoch 30/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<15:59, 14.76s/it] 3%|▎ | 2/66 [00:17<08:02, 7.53s/it] 5%|▍ | 3/66 [00:18<04:48, 4.58s/it] 6%|▌ | 4/66 [00:19<03:18, 3.19s/it] 8%|▊ | 5/66 [00:20<02:28, 2.43s/it] 9%|▉ | 6/66 [00:21<01:57, 1.96s/it] 11%|█ | 7/66 [00:22<01:38, 1.67s/it] 12%|█▏ | 8/66 [00:23<01:25, 1.48s/it] 14%|█▎ | 9/66 [00:24<01:16, 1.35s/it] 15%|█▌ | 10/66 [00:25<01:10, 1.26s/it] 17%|█▋ | 11/66 [00:26<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:27<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:28<01:00, 1.13s/it] 21%|██ | 14/66 [00:30<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:31<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:32<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:33<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:34<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:35<00:50, 1.08s/it] 30%|███ | 20/66 [00:36<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:37<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:38<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:39<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:40<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:41<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:42<00:42, 1.07s/it] 41%|████ | 27/66 [00:43<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:51<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:52<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:53<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:54<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:58<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:59<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:07<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:08<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:09<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:10<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.29s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:02, 17.28s/it] 9%|▉ | 2/22 [00:17<02:27, 7.39s/it] 14%|█▎ | 3/22 [00:18<01:18, 4.14s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.61s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.76s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.25s/it] 32%|███▏ | 7/22 [00:19<00:13, 1.07it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.39it/s] 41%|████ | 9/22 [00:32<00:57, 4.46s/it] 45%|████▌ | 10/22 [00:36<00:54, 4.52s/it] 50%|█████ | 11/22 [00:36<00:35, 3.22s/it] 55%|█████▍ | 12/22 [00:37<00:23, 2.32s/it] 59%|█████▉ | 13/22 [00:37<00:15, 1.70s/it] 64%|██████▎ | 14/22 [00:37<00:10, 1.26s/it] 68%|██████▊ | 15/22 [00:38<00:06, 1.04it/s] 73%|███████▎ | 16/22 [00:38<00:04, 1.33it/s] 77%|███████▋ | 17/22 [00:42<00:08, 1.77s/it] 82%|████████▏ | 18/22 [00:45<00:08, 2.12s/it] 86%|████████▋ | 19/22 [00:45<00:04, 1.56s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.17s/it] 95%|█████████▌| 21/22 [00:46<00:00, 1.11it/s]100%|██████████| 22/22 [00:46<00:00, 1.41it/s]100%|██████████| 22/22 [00:46<00:00, 2.11s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6015926911175706 --change-- 0.010137001976712079
Val loss: 0.5882758769122037 --change-- -0.0097627192735672
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.70094203948975 seconds.
=======================================================================
Epoch 31/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:42, 9.89s/it] 3%|▎ | 2/66 [00:10<05:00, 4.70s/it] 5%|▍ | 3/66 [00:12<03:11, 3.04s/it] 6%|▌ | 4/66 [00:13<02:20, 2.26s/it] 8%|▊ | 5/66 [00:14<01:51, 1.83s/it] 9%|▉ | 6/66 [00:15<01:34, 1.57s/it] 11%|█ | 7/66 [00:16<01:22, 1.41s/it] 12%|█▏ | 8/66 [00:17<01:15, 1.30s/it] 14%|█▎ | 9/66 [00:19<01:33, 1.64s/it] 15%|█▌ | 10/66 [00:20<01:21, 1.46s/it] 17%|█▋ | 11/66 [00:21<01:13, 1.34s/it] 18%|█▊ | 12/66 [00:22<01:07, 1.26s/it] 20%|█▉ | 13/66 [00:24<01:03, 1.20s/it] 21%|██ | 14/66 [00:25<01:00, 1.16s/it] 23%|██▎ | 15/66 [00:26<00:57, 1.13s/it] 24%|██▍ | 16/66 [00:27<00:55, 1.11s/it] 26%|██▌ | 17/66 [00:32<01:57, 2.39s/it] 27%|██▋ | 18/66 [00:33<01:35, 1.99s/it] 29%|██▉ | 19/66 [00:34<01:20, 1.71s/it] 30%|███ | 20/66 [00:35<01:09, 1.52s/it] 32%|███▏ | 21/66 [00:36<01:02, 1.38s/it] 33%|███▎ | 22/66 [00:37<00:56, 1.29s/it] 35%|███▍ | 23/66 [00:38<00:52, 1.22s/it] 36%|███▋ | 24/66 [00:40<00:49, 1.18s/it] 38%|███▊ | 25/66 [00:41<00:46, 1.14s/it] 39%|███▉ | 26/66 [00:42<00:44, 1.12s/it] 41%|████ | 27/66 [00:43<00:43, 1.11s/it] 42%|████▏ | 28/66 [00:44<00:41, 1.09s/it] 44%|████▍ | 29/66 [00:45<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:46<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:58<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:59<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:00<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:01<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:02<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.07s/it] 71%|███████ | 47/66 [01:04<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:37, 18.95s/it] 9%|▉ | 2/22 [00:19<02:39, 7.96s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.45s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.80s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.88s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.33s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.02it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:33<00:56, 4.37s/it] 45%|████▌ | 10/22 [00:33<00:37, 3.10s/it] 50%|█████ | 11/22 [00:33<00:24, 2.24s/it] 55%|█████▍ | 12/22 [00:33<00:16, 1.64s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.22s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.37it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.69it/s] 77%|███████▋ | 17/22 [00:49<00:23, 4.65s/it] 82%|████████▏ | 18/22 [00:49<00:13, 3.33s/it] 86%|████████▋ | 19/22 [00:49<00:07, 2.41s/it] 91%|█████████ | 20/22 [00:49<00:03, 1.77s/it] 95%|█████████▌| 21/22 [00:50<00:01, 1.32s/it]100%|██████████| 22/22 [00:50<00:00, 1.00s/it]100%|██████████| 22/22 [00:50<00:00, 2.29s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5906306097980674 --change-- -0.01096208131950327
Val loss: 0.6223666254769672 --change-- 0.03409074856476346
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 137.1271207332611 seconds.
=======================================================================
Epoch 32/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:04<04:38, 4.28s/it] 3%|▎ | 2/66 [00:07<04:01, 3.78s/it] 5%|▍ | 3/66 [00:08<02:40, 2.54s/it] 6%|▌ | 4/66 [00:09<02:01, 1.96s/it] 8%|▊ | 5/66 [00:10<01:39, 1.64s/it] 9%|▉ | 6/66 [00:11<01:26, 1.44s/it] 11%|█ | 7/66 [00:13<01:17, 1.32s/it] 12%|█▏ | 8/66 [00:14<01:11, 1.24s/it] 14%|█▎ | 9/66 [00:15<01:07, 1.19s/it] 15%|█▌ | 10/66 [00:16<01:04, 1.15s/it] 17%|█▋ | 11/66 [00:17<01:01, 1.13s/it] 18%|█▊ | 12/66 [00:18<00:59, 1.11s/it] 20%|█▉ | 13/66 [00:19<00:58, 1.10s/it] 21%|██ | 14/66 [00:20<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:21<00:55, 1.08s/it] 24%|██▍ | 16/66 [00:22<00:53, 1.08s/it] 26%|██▌ | 17/66 [00:23<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:24<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:25<00:50, 1.07s/it] 30%|███ | 20/66 [00:26<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:28<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:29<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:30<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:31<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:32<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:33<00:42, 1.07s/it] 41%|████ | 27/66 [00:34<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:35<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:36<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:37<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:38<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:39<00:36, 1.07s/it] 50%|█████ | 33/66 [00:40<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:41<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:42<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:44<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:45<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:46<00:30, 1.07s/it] 59%|█████▉ | 39/66 [00:47<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<01:00, 2.34s/it] 62%|██████▏ | 41/66 [00:53<00:49, 1.96s/it] 64%|██████▎ | 42/66 [00:54<00:40, 1.69s/it] 65%|██████▌ | 43/66 [00:55<00:34, 1.51s/it] 67%|██████▋ | 44/66 [00:56<00:30, 1.37s/it] 68%|██████▊ | 45/66 [00:57<00:26, 1.28s/it] 70%|██████▉ | 46/66 [00:59<00:24, 1.22s/it] 71%|███████ | 47/66 [01:00<00:22, 1.18s/it] 73%|███████▎ | 48/66 [01:01<00:20, 1.14s/it] 74%|███████▍ | 49/66 [01:02<00:19, 1.12s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.10s/it] 77%|███████▋ | 51/66 [01:05<00:19, 1.30s/it] 79%|███████▉ | 52/66 [01:06<00:17, 1.23s/it] 80%|████████ | 53/66 [01:07<00:15, 1.18s/it] 82%|████████▏ | 54/66 [01:08<00:13, 1.15s/it] 83%|████████▎ | 55/66 [01:09<00:12, 1.12s/it] 85%|████████▍ | 56/66 [01:10<00:11, 1.11s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.10s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.09s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.08s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:56, 16.98s/it] 9%|▉ | 2/22 [00:17<02:22, 7.15s/it] 14%|█▎ | 3/22 [00:17<01:16, 4.01s/it] 18%|█▊ | 4/22 [00:17<00:46, 2.56s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.74s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.24s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.09it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.41it/s] 41%|████ | 9/22 [00:30<00:52, 4.06s/it] 45%|████▌ | 10/22 [00:30<00:35, 2.94s/it] 50%|█████ | 11/22 [00:31<00:23, 2.16s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.59s/it] 59%|█████▉ | 13/22 [00:31<00:10, 1.19s/it] 64%|██████▎ | 14/22 [00:31<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:32<00:05, 1.40it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:41<00:15, 3.11s/it] 82%|████████▏ | 18/22 [00:41<00:09, 2.26s/it] 86%|████████▋ | 19/22 [00:42<00:05, 1.75s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.01it/s]100%|██████████| 22/22 [00:43<00:00, 1.29it/s]100%|██████████| 22/22 [00:43<00:00, 1.96s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6003837387525398 --change-- 0.009753128954472445
Val loss: 0.6038574020970952 --change-- -0.018509223379872042
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 125.96053504943848 seconds.
=======================================================================
Epoch 33/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<04:16, 3.95s/it] 3%|▎ | 2/66 [00:07<04:13, 3.95s/it] 5%|▍ | 3/66 [00:17<06:42, 6.40s/it] 6%|▌ | 4/66 [00:18<04:26, 4.29s/it] 8%|▊ | 5/66 [00:19<03:10, 3.13s/it] 9%|▉ | 6/66 [00:20<02:25, 2.43s/it] 11%|█ | 7/66 [00:21<01:57, 1.98s/it] 12%|█▏ | 8/66 [00:22<01:38, 1.69s/it] 14%|█▎ | 9/66 [00:23<01:25, 1.50s/it] 15%|█▌ | 10/66 [00:24<01:16, 1.37s/it] 17%|█▋ | 11/66 [00:25<01:10, 1.28s/it] 18%|█▊ | 12/66 [00:26<01:05, 1.22s/it] 20%|█▉ | 13/66 [00:27<01:02, 1.17s/it] 21%|██ | 14/66 [00:28<00:59, 1.14s/it] 23%|██▎ | 15/66 [00:30<00:57, 1.12s/it] 24%|██▍ | 16/66 [00:31<00:55, 1.10s/it] 26%|██▌ | 17/66 [00:33<01:12, 1.48s/it] 27%|██▋ | 18/66 [00:35<01:22, 1.72s/it] 29%|██▉ | 19/66 [00:36<01:11, 1.52s/it] 30%|███ | 20/66 [00:37<01:03, 1.39s/it] 32%|███▏ | 21/66 [00:38<00:58, 1.29s/it] 33%|███▎ | 22/66 [00:40<00:53, 1.22s/it] 35%|███▍ | 23/66 [00:41<00:50, 1.18s/it] 36%|███▋ | 24/66 [00:42<00:48, 1.14s/it] 38%|███▊ | 25/66 [00:43<00:45, 1.12s/it] 39%|███▉ | 26/66 [00:44<00:44, 1.10s/it] 41%|████ | 27/66 [00:45<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:46<00:41, 1.09s/it] 44%|████▍ | 29/66 [00:47<00:39, 1.08s/it] 45%|████▌ | 30/66 [00:48<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:49<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:50<00:36, 1.07s/it] 50%|█████ | 33/66 [00:51<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:56<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:57<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:58<00:28, 1.07s/it] 61%|██████ | 40/66 [00:59<00:27, 1.07s/it] 62%|██████▏ | 41/66 [01:00<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:01<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:02<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:03<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:04<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:05<00:21, 1.07s/it] 71%|███████ | 47/66 [01:06<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:12<00:44, 2.47s/it] 74%|███████▍ | 49/66 [01:13<00:34, 2.05s/it] 76%|███████▌ | 50/66 [01:14<00:28, 1.76s/it] 77%|███████▋ | 51/66 [01:15<00:23, 1.55s/it] 79%|███████▉ | 52/66 [01:16<00:19, 1.40s/it] 80%|████████ | 53/66 [01:17<00:16, 1.30s/it] 82%|████████▏ | 54/66 [01:18<00:14, 1.23s/it] 83%|████████▎ | 55/66 [01:19<00:13, 1.18s/it] 85%|████████▍ | 56/66 [01:21<00:11, 1.15s/it] 86%|████████▋ | 57/66 [01:22<00:10, 1.12s/it] 88%|████████▊ | 58/66 [01:23<00:08, 1.11s/it] 89%|████████▉ | 59/66 [01:24<00:07, 1.10s/it] 91%|█████████ | 60/66 [01:25<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:26<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:27<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:28<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:29<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:30<00:01, 1.07s/it]100%|██████████| 66/66 [01:31<00:00, 1.09it/s]100%|██████████| 66/66 [01:31<00:00, 1.38s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:28, 18.52s/it] 9%|▉ | 2/22 [00:18<02:35, 7.78s/it] 14%|█▎ | 3/22 [00:19<01:22, 4.35s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.74s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.85s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.31s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:30<00:47, 3.62s/it] 45%|████▌ | 10/22 [00:30<00:31, 2.59s/it] 50%|█████ | 11/22 [00:31<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:41<00:14, 2.94s/it] 82%|████████▏ | 18/22 [00:42<00:09, 2.31s/it] 86%|████████▋ | 19/22 [00:42<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.27s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.04it/s]100%|██████████| 22/22 [00:43<00:00, 1.32it/s]100%|██████████| 22/22 [00:43<00:00, 1.97s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5855046305947631 --change-- -0.01487910815777671
Val loss: 0.598455316641114 --change-- -0.005402085455981198
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.70471906661987 seconds.
=======================================================================
Epoch 34/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<10:57, 10.12s/it] 3%|▎ | 2/66 [00:11<05:06, 4.80s/it] 5%|▍ | 3/66 [00:13<03:37, 3.46s/it] 6%|▌ | 4/66 [00:14<02:35, 2.51s/it] 8%|▊ | 5/66 [00:15<02:01, 1.99s/it] 9%|▉ | 6/66 [00:16<01:40, 1.68s/it] 11%|█ | 7/66 [00:17<01:27, 1.48s/it] 12%|█▏ | 8/66 [00:18<01:18, 1.35s/it] 14%|█▎ | 9/66 [00:25<03:07, 3.29s/it] 15%|█▌ | 10/66 [00:27<02:25, 2.60s/it] 17%|█▋ | 11/66 [00:28<01:57, 2.13s/it] 18%|█▊ | 12/66 [00:29<01:37, 1.81s/it] 20%|█▉ | 13/66 [00:30<01:23, 1.58s/it] 21%|██ | 14/66 [00:31<01:14, 1.43s/it] 23%|██▎ | 15/66 [00:32<01:07, 1.32s/it] 24%|██▍ | 16/66 [00:33<01:02, 1.24s/it] 26%|██▌ | 17/66 [00:35<01:11, 1.46s/it] 27%|██▋ | 18/66 [00:36<01:04, 1.34s/it] 29%|██▉ | 19/66 [00:37<00:59, 1.26s/it] 30%|███ | 20/66 [00:38<00:55, 1.20s/it] 32%|███▏ | 21/66 [00:39<00:52, 1.16s/it] 33%|███▎ | 22/66 [00:40<00:49, 1.13s/it] 35%|███▍ | 23/66 [00:41<00:47, 1.11s/it] 36%|███▋ | 24/66 [00:42<00:46, 1.10s/it] 38%|███▊ | 25/66 [00:43<00:44, 1.09s/it] 39%|███▉ | 26/66 [00:44<00:43, 1.08s/it] 41%|████ | 27/66 [00:46<00:42, 1.08s/it] 42%|████▏ | 28/66 [00:47<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:48<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:49<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:50<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:51<00:36, 1.07s/it] 50%|█████ | 33/66 [00:52<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:53<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:54<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:55<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:56<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:57<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:58<00:28, 1.07s/it] 61%|██████ | 40/66 [01:00<00:29, 1.12s/it] 62%|██████▏ | 41/66 [01:01<00:27, 1.10s/it] 64%|██████▎ | 42/66 [01:02<00:26, 1.09s/it] 65%|██████▌ | 43/66 [01:03<00:24, 1.08s/it] 67%|██████▋ | 44/66 [01:04<00:23, 1.08s/it] 68%|██████▊ | 45/66 [01:05<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:06<00:21, 1.07s/it] 71%|███████ | 47/66 [01:07<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:08<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:09<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:10<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:11<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:12<00:14, 1.07s/it] 80%|████████ | 53/66 [01:13<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:15<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:16<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:17<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:18<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:19<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:20<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:21<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:22<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:23<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:24<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:25<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:26<00:01, 1.07s/it]100%|██████████| 66/66 [01:27<00:00, 1.10it/s]100%|██████████| 66/66 [01:27<00:00, 1.32s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:01, 17.23s/it] 9%|▉ | 2/22 [00:17<02:25, 7.25s/it] 14%|█▎ | 3/22 [00:17<01:17, 4.06s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.56s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.74s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.24s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.09it/s] 36%|███▋ | 8/22 [00:19<00:09, 1.41it/s] 41%|████ | 9/22 [00:31<00:54, 4.23s/it] 45%|████▌ | 10/22 [00:31<00:38, 3.19s/it] 50%|█████ | 11/22 [00:32<00:27, 2.47s/it] 55%|█████▍ | 12/22 [00:33<00:17, 1.80s/it] 59%|█████▉ | 13/22 [00:33<00:12, 1.34s/it] 64%|██████▎ | 14/22 [00:33<00:08, 1.01s/it] 68%|██████▊ | 15/22 [00:33<00:05, 1.27it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.59it/s] 77%|███████▋ | 17/22 [00:43<00:16, 3.24s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.35s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.72s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.29s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.02it/s]100%|██████████| 22/22 [00:44<00:00, 1.31it/s]100%|██████████| 22/22 [00:44<00:00, 2.03s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6239395471474597 --change-- 0.038434916552696596
Val loss: 0.5950330956415697 --change-- -0.0034222209995442565
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.26381921768188 seconds.
=======================================================================
Epoch 35/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:40, 10.78s/it] 3%|▎ | 2/66 [00:12<05:33, 5.21s/it] 5%|▍ | 3/66 [00:13<03:29, 3.32s/it] 6%|▌ | 4/66 [00:14<02:30, 2.43s/it] 8%|▊ | 5/66 [00:15<01:58, 1.94s/it] 9%|▉ | 6/66 [00:16<01:38, 1.64s/it] 11%|█ | 7/66 [00:17<01:25, 1.45s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<01:03, 1.55s/it] 39%|███▉ | 26/66 [00:39<00:56, 1.41s/it] 41%|████ | 27/66 [00:40<00:50, 1.30s/it] 42%|████▏ | 28/66 [00:41<00:46, 1.23s/it] 44%|████▍ | 29/66 [00:42<00:43, 1.18s/it] 45%|████▌ | 30/66 [00:43<00:41, 1.15s/it] 47%|████▋ | 31/66 [00:44<00:39, 1.12s/it] 48%|████▊ | 32/66 [00:45<00:37, 1.11s/it] 50%|█████ | 33/66 [00:46<00:36, 1.09s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.09s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.08s/it] 56%|█████▌ | 37/66 [00:51<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:30, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.10it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:49, 19.51s/it] 9%|▉ | 2/22 [00:19<02:43, 8.19s/it] 14%|█▎ | 3/22 [00:20<01:26, 4.57s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.87s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.93s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.37s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.01s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.30it/s] 41%|████ | 9/22 [00:33<00:55, 4.25s/it] 45%|████▌ | 10/22 [00:33<00:36, 3.02s/it] 50%|█████ | 11/22 [00:33<00:23, 2.18s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.60s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.19s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.39it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:44<00:16, 3.24s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.34s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.72s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.28s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.02it/s]100%|██████████| 22/22 [00:45<00:00, 1.31it/s]100%|██████████| 22/22 [00:45<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.592487589776061 --change-- -0.03145195737139872
Val loss: 0.5926292064515027 --change-- -0.0024038891900669546
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.634991645813 seconds.
=======================================================================
Epoch 36/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<06:15, 5.78s/it] 3%|▎ | 2/66 [00:10<05:33, 5.22s/it] 5%|▍ | 3/66 [00:13<04:13, 4.03s/it] 6%|▌ | 4/66 [00:14<02:57, 2.86s/it] 8%|▊ | 5/66 [00:15<02:15, 2.21s/it] 9%|▉ | 6/66 [00:16<01:49, 1.82s/it] 11%|█ | 7/66 [00:17<01:33, 1.58s/it] 12%|█▏ | 8/66 [00:18<01:22, 1.41s/it] 14%|█▎ | 9/66 [00:19<01:14, 1.31s/it] 15%|█▌ | 10/66 [00:20<01:09, 1.23s/it] 17%|█▋ | 11/66 [00:21<01:05, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:31, 21.51s/it] 9%|▉ | 2/22 [00:21<03:00, 9.01s/it] 14%|█▎ | 3/22 [00:22<01:35, 5.02s/it] 18%|█▊ | 4/22 [00:22<00:56, 3.14s/it] 23%|██▎ | 5/22 [00:22<00:35, 2.11s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.48s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.08s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.21it/s] 41%|████ | 9/22 [00:34<00:53, 4.10s/it] 45%|████▌ | 10/22 [00:34<00:35, 2.92s/it] 50%|█████ | 11/22 [00:35<00:23, 2.11s/it] 55%|█████▍ | 12/22 [00:35<00:15, 1.55s/it] 59%|█████▉ | 13/22 [00:35<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:36<00:07, 1.12it/s] 68%|██████▊ | 15/22 [00:36<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:46<00:16, 3.28s/it] 82%|████████▏ | 18/22 [00:46<00:09, 2.37s/it] 86%|████████▋ | 19/22 [00:46<00:05, 1.74s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.01it/s]100%|██████████| 22/22 [00:47<00:00, 1.30it/s]100%|██████████| 22/22 [00:47<00:00, 2.16s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5948460272705282 --change-- 0.0023584374944671804
Val loss: 0.5876774042844772 --change-- -0.00495180216702551
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 130.1547336578369 seconds.
=======================================================================
Epoch 37/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<06:00, 5.54s/it] 3%|▎ | 2/66 [00:06<03:06, 2.91s/it] 5%|▍ | 3/66 [00:09<02:51, 2.72s/it] 6%|▌ | 4/66 [00:11<02:40, 2.58s/it] 8%|▊ | 5/66 [00:12<02:11, 2.16s/it] 9%|▉ | 6/66 [00:13<01:47, 1.79s/it] 11%|█ | 7/66 [00:15<01:31, 1.55s/it] 12%|█▏ | 8/66 [00:16<01:21, 1.40s/it] 14%|█▎ | 9/66 [00:17<01:13, 1.30s/it] 15%|█▌ | 10/66 [00:18<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:19<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:20<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:21<00:59, 1.12s/it] 21%|██ | 14/66 [00:22<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:23<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:24<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:25<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:26<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:27<00:50, 1.07s/it] 30%|███ | 20/66 [00:28<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<01:03, 1.41s/it] 33%|███▎ | 22/66 [00:32<00:57, 1.31s/it] 35%|███▍ | 23/66 [00:33<00:53, 1.24s/it] 36%|███▋ | 24/66 [00:34<00:49, 1.19s/it] 38%|███▊ | 25/66 [00:35<00:47, 1.15s/it] 39%|███▉ | 26/66 [00:36<00:44, 1.12s/it] 41%|████ | 27/66 [00:37<00:43, 1.11s/it] 42%|████▏ | 28/66 [00:38<00:41, 1.10s/it] 44%|████▍ | 29/66 [00:39<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:42<00:36, 1.07s/it] 50%|█████ | 33/66 [00:43<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:44<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:57<00:21, 1.07s/it] 71%|███████ | 47/66 [00:58<00:20, 1.10s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.09s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.08s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.08s/it] 79%|███████▉ | 52/66 [01:04<00:15, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:06<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:07<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:08<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:09<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:10<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:11<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:15, 2.62s/it] 92%|█████████▏| 61/66 [01:19<00:10, 2.15s/it] 94%|█████████▍| 62/66 [01:20<00:07, 1.83s/it] 95%|█████████▌| 63/66 [01:21<00:04, 1.60s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.44s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.33s/it]100%|██████████| 66/66 [01:23<00:00, 1.10s/it]100%|██████████| 66/66 [01:23<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:56, 19.85s/it] 9%|▉ | 2/22 [00:20<02:46, 8.33s/it] 14%|█▎ | 3/22 [00:20<01:28, 4.65s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.92s/it] 23%|██▎ | 5/22 [00:20<00:33, 1.96s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.39s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.02s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.28it/s] 41%|████ | 9/22 [00:37<01:10, 5.43s/it] 45%|████▌ | 10/22 [00:37<00:46, 3.83s/it] 50%|█████ | 11/22 [00:37<00:30, 2.74s/it] 55%|█████▍ | 12/22 [00:38<00:19, 1.99s/it] 59%|█████▉ | 13/22 [00:38<00:13, 1.47s/it] 64%|██████▎ | 14/22 [00:38<00:08, 1.10s/it] 68%|██████▊ | 15/22 [00:38<00:05, 1.17it/s] 73%|███████▎ | 16/22 [00:39<00:04, 1.48it/s] 77%|███████▋ | 17/22 [00:49<00:17, 3.47s/it] 82%|████████▏ | 18/22 [00:49<00:10, 2.54s/it] 86%|████████▋ | 19/22 [00:49<00:05, 1.86s/it] 91%|█████████ | 20/22 [00:50<00:02, 1.38s/it] 95%|█████████▌| 21/22 [00:50<00:01, 1.05s/it]100%|██████████| 22/22 [00:50<00:00, 1.23it/s]100%|██████████| 22/22 [00:50<00:00, 2.30s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5964058303196011 --change-- 0.0015598030490729942
Val loss: 0.5969780399040743 --change-- 0.009300635619597042
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.77823519706726 seconds.
=======================================================================
Epoch 38/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<05:54, 5.45s/it] 3%|▎ | 2/66 [00:11<05:53, 5.53s/it] 5%|▍ | 3/66 [00:12<03:40, 3.49s/it] 6%|▌ | 4/66 [00:13<02:37, 2.54s/it] 8%|▊ | 5/66 [00:14<02:02, 2.01s/it] 9%|▉ | 6/66 [00:15<01:41, 1.69s/it] 11%|█ | 7/66 [00:16<01:27, 1.48s/it] 12%|█▏ | 8/66 [00:17<01:18, 1.35s/it] 14%|█▎ | 9/66 [00:18<01:11, 1.26s/it] 15%|█▌ | 10/66 [00:19<01:07, 1.20s/it] 17%|█▋ | 11/66 [00:20<01:03, 1.16s/it] 18%|█▊ | 12/66 [00:21<01:01, 1.13s/it] 20%|█▉ | 13/66 [00:22<00:59, 1.11s/it] 21%|██ | 14/66 [00:23<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:24<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<01:05, 1.45s/it] 33%|███▎ | 22/66 [00:33<00:58, 1.34s/it] 35%|███▍ | 23/66 [00:34<00:54, 1.26s/it] 36%|███▋ | 24/66 [00:35<00:50, 1.20s/it] 38%|███▊ | 25/66 [00:36<00:47, 1.16s/it] 39%|███▉ | 26/66 [00:37<00:45, 1.13s/it] 41%|████ | 27/66 [00:39<00:43, 1.11s/it] 42%|████▏ | 28/66 [00:40<00:41, 1.10s/it] 44%|████▍ | 29/66 [00:41<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.10it/s]100%|██████████| 66/66 [01:20<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:39, 21.88s/it] 9%|▉ | 2/22 [00:22<03:03, 9.17s/it] 14%|█▎ | 3/22 [00:22<01:36, 5.10s/it] 18%|█▊ | 4/22 [00:22<00:57, 3.19s/it] 23%|██▎ | 5/22 [00:22<00:36, 2.14s/it] 27%|██▋ | 6/22 [00:23<00:24, 1.50s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.10s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.20it/s] 41%|████ | 9/22 [00:34<00:49, 3.82s/it] 45%|████▌ | 10/22 [00:34<00:32, 2.72s/it] 50%|█████ | 11/22 [00:34<00:21, 1.97s/it] 55%|█████▍ | 12/22 [00:34<00:14, 1.45s/it] 59%|█████▉ | 13/22 [00:35<00:09, 1.09s/it] 64%|██████▎ | 14/22 [00:35<00:06, 1.19it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.49it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.82it/s] 77%|███████▋ | 17/22 [00:44<00:15, 3.04s/it] 82%|████████▏ | 18/22 [00:45<00:08, 2.21s/it] 86%|████████▋ | 19/22 [00:45<00:04, 1.62s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.22s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.07it/s]100%|██████████| 22/22 [00:46<00:00, 1.37it/s]100%|██████████| 22/22 [00:46<00:00, 2.10s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5991832964292919 --change-- 0.0027774661096907627
Val loss: 0.5847707187587564 --change-- -0.012207321145317862
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.98576521873474 seconds.
=======================================================================
Epoch 39/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:50, 10.93s/it] 3%|▎ | 2/66 [00:13<06:15, 5.87s/it] 5%|▍ | 3/66 [00:14<03:51, 3.68s/it] 6%|▌ | 4/66 [00:15<02:44, 2.65s/it] 8%|▊ | 5/66 [00:16<02:06, 2.08s/it] 9%|▉ | 6/66 [00:17<01:44, 1.73s/it] 11%|█ | 7/66 [00:18<01:29, 1.52s/it] 12%|█▏ | 8/66 [00:19<01:19, 1.37s/it] 14%|█▎ | 9/66 [00:21<01:26, 1.53s/it] 15%|█▌ | 10/66 [00:22<01:17, 1.38s/it] 17%|█▋ | 11/66 [00:23<01:10, 1.29s/it] 18%|█▊ | 12/66 [00:24<01:05, 1.22s/it] 20%|█▉ | 13/66 [00:25<01:02, 1.17s/it] 21%|██ | 14/66 [00:26<00:59, 1.14s/it] 23%|██▎ | 15/66 [00:27<00:57, 1.12s/it] 24%|██▍ | 16/66 [00:28<00:55, 1.10s/it] 26%|██▌ | 17/66 [00:30<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:31<00:52, 1.09s/it] 29%|██▉ | 19/66 [00:32<00:50, 1.08s/it] 30%|███ | 20/66 [00:33<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:36<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:37<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:51<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.10it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:31, 18.63s/it] 9%|▉ | 2/22 [00:18<02:36, 7.83s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.38s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.75s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:19<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:32<00:54, 4.21s/it] 45%|████▌ | 10/22 [00:32<00:36, 3.04s/it] 50%|█████ | 11/22 [00:32<00:24, 2.19s/it] 55%|█████▍ | 12/22 [00:33<00:16, 1.60s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.20s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.09it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.39it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.71it/s] 77%|███████▋ | 17/22 [00:44<00:18, 3.61s/it] 82%|████████▏ | 18/22 [00:45<00:11, 2.78s/it] 86%|████████▋ | 19/22 [00:46<00:06, 2.03s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.50s/it] 95%|█████████▌| 21/22 [00:46<00:01, 1.13s/it]100%|██████████| 22/22 [00:46<00:00, 1.15it/s]100%|██████████| 22/22 [00:46<00:00, 2.13s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5969902047219168 --change-- -0.002193091707375139
Val loss: 0.5847847258502786 --change-- 1.4007091522216797e-05
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.02156114578247 seconds.
=======================================================================
Epoch 40/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:13, 7.59s/it] 3%|▎ | 2/66 [00:12<06:10, 5.79s/it] 5%|▍ | 3/66 [00:13<03:48, 3.63s/it] 6%|▌ | 4/66 [00:14<02:42, 2.62s/it] 8%|▊ | 5/66 [00:15<02:05, 2.06s/it] 9%|▉ | 6/66 [00:16<01:43, 1.72s/it] 11%|█ | 7/66 [00:17<01:28, 1.51s/it] 12%|█▏ | 8/66 [00:18<01:19, 1.37s/it] 14%|█▎ | 9/66 [00:19<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:20<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:30<01:03, 1.32s/it] 29%|██▉ | 19/66 [00:31<00:58, 1.24s/it] 30%|███ | 20/66 [00:32<00:54, 1.19s/it] 32%|███▏ | 21/66 [00:33<00:51, 1.15s/it] 33%|███▎ | 22/66 [00:34<00:49, 1.13s/it] 35%|███▍ | 23/66 [00:35<00:47, 1.11s/it] 36%|███▋ | 24/66 [00:36<00:46, 1.10s/it] 38%|███▊ | 25/66 [00:37<00:44, 1.09s/it] 39%|███▉ | 26/66 [00:38<00:43, 1.08s/it] 41%|████ | 27/66 [00:39<00:42, 1.08s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:02, 20.14s/it] 9%|▉ | 2/22 [00:20<02:48, 8.45s/it] 14%|█▎ | 3/22 [00:20<01:29, 4.71s/it] 18%|█▊ | 4/22 [00:20<00:53, 2.96s/it] 23%|██▎ | 5/22 [00:21<00:33, 1.99s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.40s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.03s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.27it/s] 41%|████ | 9/22 [00:33<00:52, 4.04s/it] 45%|████▌ | 10/22 [00:33<00:35, 2.93s/it] 50%|█████ | 11/22 [00:33<00:23, 2.11s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.55s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.12it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.42it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:45<00:16, 3.40s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.46s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.80s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.34s/it] 95%|█████████▌| 21/22 [00:46<00:01, 1.02s/it]100%|██████████| 22/22 [00:46<00:00, 1.26it/s]100%|██████████| 22/22 [00:46<00:00, 2.12s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5928054950164474 --change-- -0.004184709705469358
Val loss: 0.5909464901143854 --change-- 0.0061617642641067505
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.5747263431549 seconds.
=======================================================================
Epoch 41/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<15:35, 14.40s/it] 3%|▎ | 2/66 [00:15<06:59, 6.56s/it] 5%|▍ | 3/66 [00:16<04:15, 4.05s/it] 6%|▌ | 4/66 [00:17<02:58, 2.87s/it] 8%|▊ | 5/66 [00:18<02:15, 2.22s/it] 9%|▉ | 6/66 [00:19<01:49, 1.83s/it] 11%|█ | 7/66 [00:20<01:33, 1.58s/it] 12%|█▏ | 8/66 [00:21<01:22, 1.42s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.31s/it] 15%|█▌ | 10/66 [00:24<01:09, 1.23s/it] 17%|█▋ | 11/66 [00:25<01:05, 1.18s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.15s/it] 20%|█▉ | 13/66 [00:27<00:59, 1.12s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:35<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:03<00:45, 2.07s/it] 68%|██████▊ | 45/66 [01:04<00:37, 1.77s/it] 70%|██████▉ | 46/66 [01:05<00:31, 1.56s/it] 71%|███████ | 47/66 [01:06<00:26, 1.41s/it] 73%|███████▎ | 48/66 [01:07<00:23, 1.31s/it] 74%|███████▍ | 49/66 [01:11<00:31, 1.86s/it] 76%|███████▌ | 50/66 [01:12<00:25, 1.62s/it] 77%|███████▋ | 51/66 [01:13<00:21, 1.45s/it] 79%|███████▉ | 52/66 [01:14<00:18, 1.34s/it] 80%|████████ | 53/66 [01:15<00:16, 1.26s/it] 82%|████████▏ | 54/66 [01:16<00:14, 1.20s/it] 83%|████████▎ | 55/66 [01:17<00:12, 1.16s/it] 85%|████████▍ | 56/66 [01:18<00:11, 1.13s/it] 86%|████████▋ | 57/66 [01:19<00:10, 1.11s/it] 88%|████████▊ | 58/66 [01:20<00:08, 1.10s/it] 89%|████████▉ | 59/66 [01:21<00:07, 1.09s/it] 91%|█████████ | 60/66 [01:22<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:23<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:24<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:26<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:27<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:28<00:01, 1.07s/it]100%|██████████| 66/66 [01:28<00:00, 1.09it/s]100%|██████████| 66/66 [01:28<00:00, 1.34s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:00, 20.05s/it] 9%|▉ | 2/22 [00:20<02:48, 8.41s/it] 14%|█▎ | 3/22 [00:20<01:29, 4.69s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.94s/it] 23%|██▎ | 5/22 [00:21<00:33, 1.98s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.40s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.03s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.27it/s] 41%|████ | 9/22 [00:34<00:59, 4.59s/it] 45%|████▌ | 10/22 [00:35<00:39, 3.26s/it] 50%|█████ | 11/22 [00:35<00:25, 2.34s/it] 55%|█████▍ | 12/22 [00:35<00:17, 1.71s/it] 59%|█████▉ | 13/22 [00:35<00:11, 1.27s/it] 64%|██████▎ | 14/22 [00:36<00:07, 1.03it/s] 68%|██████▊ | 15/22 [00:36<00:05, 1.32it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.64it/s] 77%|███████▋ | 17/22 [00:46<00:16, 3.31s/it] 82%|████████▏ | 18/22 [00:46<00:09, 2.39s/it] 86%|████████▋ | 19/22 [00:46<00:05, 1.75s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.31s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.01it/s]100%|██████████| 22/22 [00:47<00:00, 1.29it/s]100%|██████████| 22/22 [00:47<00:00, 2.17s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6016594401297678 --change-- 0.008853945113320383
Val loss: 0.5849095176566731 --change-- -0.006036972457712286
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 138.76500296592712 seconds.
=======================================================================
Epoch 42/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:51, 8.18s/it] 3%|▎ | 2/66 [00:13<06:41, 6.27s/it] 5%|▍ | 3/66 [00:14<04:11, 4.00s/it] 6%|▌ | 4/66 [00:15<02:56, 2.84s/it] 8%|▊ | 5/66 [00:16<02:14, 2.20s/it] 9%|▉ | 6/66 [00:17<01:48, 1.81s/it] 11%|█ | 7/66 [00:18<01:32, 1.57s/it] 12%|█▏ | 8/66 [00:19<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:20<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:21<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:24<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:25<00:59, 1.12s/it] 21%|██ | 14/66 [00:26<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:27<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:28<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:29<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:30<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:31<00:50, 1.07s/it] 30%|███ | 20/66 [00:32<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:33<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.23s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:03, 17.29s/it] 9%|▉ | 2/22 [00:17<02:27, 7.38s/it] 14%|█▎ | 3/22 [00:18<01:18, 4.13s/it] 18%|█▊ | 4/22 [00:18<00:46, 2.61s/it] 23%|██▎ | 5/22 [00:18<00:29, 1.76s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.25s/it] 32%|███▏ | 7/22 [00:19<00:13, 1.07it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.39it/s] 41%|████ | 9/22 [00:34<01:07, 5.22s/it] 45%|████▌ | 10/22 [00:35<00:47, 3.99s/it] 50%|█████ | 11/22 [00:35<00:31, 2.85s/it] 55%|█████▍ | 12/22 [00:36<00:20, 2.07s/it] 59%|█████▉ | 13/22 [00:36<00:13, 1.52s/it] 64%|██████▎ | 14/22 [00:36<00:09, 1.14s/it] 68%|██████▊ | 15/22 [00:37<00:06, 1.14it/s] 73%|███████▎ | 16/22 [00:37<00:04, 1.44it/s] 77%|███████▋ | 17/22 [00:45<00:15, 3.03s/it] 82%|████████▏ | 18/22 [00:46<00:09, 2.39s/it] 86%|████████▋ | 19/22 [00:46<00:05, 1.75s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.01it/s]100%|██████████| 22/22 [00:47<00:00, 1.29it/s]100%|██████████| 22/22 [00:47<00:00, 2.17s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6063792468937299 --change-- 0.004719806763962109
Val loss: 0.5945112827149305 --change-- 0.009601765058257383
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.0665521621704 seconds.
=======================================================================
Epoch 43/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:37, 8.89s/it] 3%|▎ | 2/66 [00:11<05:15, 4.93s/it] 5%|▍ | 3/66 [00:12<03:19, 3.17s/it] 6%|▌ | 4/66 [00:13<02:24, 2.34s/it] 8%|▊ | 5/66 [00:14<01:54, 1.88s/it] 9%|▉ | 6/66 [00:15<01:36, 1.60s/it] 11%|█ | 7/66 [00:16<01:24, 1.43s/it] 12%|█▏ | 8/66 [00:17<01:16, 1.31s/it] 14%|█▎ | 9/66 [00:18<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:19<01:06, 1.18s/it] 17%|█▋ | 11/66 [00:20<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:21<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:22<00:58, 1.11s/it] 21%|██ | 14/66 [00:23<00:56, 1.10s/it] 23%|██▎ | 15/66 [00:24<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:15, 1.32s/it] 83%|████████▎ | 55/66 [01:08<00:13, 1.24s/it] 85%|████████▍ | 56/66 [01:09<00:11, 1.19s/it] 86%|████████▋ | 57/66 [01:10<00:10, 1.15s/it] 88%|████████▊ | 58/66 [01:11<00:09, 1.13s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.11s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.10s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.09s/it] 94%|█████████▍| 62/66 [01:17<00:05, 1.47s/it] 95%|█████████▌| 63/66 [01:18<00:04, 1.35s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.27s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.21s/it]100%|██████████| 66/66 [01:21<00:00, 1.01s/it]100%|██████████| 66/66 [01:21<00:00, 1.23s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:20, 20.97s/it] 9%|▉ | 2/22 [00:21<02:55, 8.79s/it] 14%|█▎ | 3/22 [00:21<01:33, 4.90s/it] 18%|█▊ | 4/22 [00:21<00:55, 3.07s/it] 23%|██▎ | 5/22 [00:22<00:35, 2.06s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.45s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.06s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.24it/s] 41%|████ | 9/22 [00:33<00:50, 3.87s/it] 45%|████▌ | 10/22 [00:33<00:33, 2.76s/it] 50%|█████ | 11/22 [00:33<00:21, 2.00s/it] 55%|█████▍ | 12/22 [00:34<00:14, 1.47s/it] 59%|█████▉ | 13/22 [00:34<00:09, 1.11s/it] 64%|██████▎ | 14/22 [00:34<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.81it/s] 77%|███████▋ | 17/22 [00:48<00:21, 4.40s/it] 82%|████████▏ | 18/22 [00:48<00:12, 3.16s/it] 86%|████████▋ | 19/22 [00:49<00:06, 2.29s/it] 91%|█████████ | 20/22 [00:49<00:03, 1.68s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.26s/it]100%|██████████| 22/22 [00:49<00:00, 1.04it/s]100%|██████████| 22/22 [00:49<00:00, 2.27s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6087848282497348 --change-- 0.002405581356004882
Val loss: 0.5888087749481201 --change-- -0.005702507766810361
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.5178680419922 seconds.
=======================================================================
Epoch 44/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:25, 8.71s/it] 3%|▎ | 2/66 [00:16<08:29, 7.96s/it] 5%|▍ | 3/66 [00:17<05:03, 4.81s/it] 6%|▌ | 4/66 [00:18<03:26, 3.33s/it] 8%|▊ | 5/66 [00:19<02:33, 2.52s/it] 9%|▉ | 6/66 [00:20<02:01, 2.02s/it] 11%|█ | 7/66 [00:21<01:40, 1.71s/it] 12%|█▏ | 8/66 [00:22<01:27, 1.51s/it] 14%|█▎ | 9/66 [00:23<01:18, 1.37s/it] 15%|█▌ | 10/66 [00:24<01:11, 1.28s/it] 17%|█▋ | 11/66 [00:25<01:06, 1.21s/it] 18%|█▊ | 12/66 [00:26<01:03, 1.17s/it] 20%|█▉ | 13/66 [00:27<01:00, 1.14s/it] 21%|██ | 14/66 [00:28<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:30<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:31<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:32<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:33<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:34<00:50, 1.08s/it] 30%|███ | 20/66 [00:35<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:46<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:51, 1.62s/it] 53%|█████▎ | 35/66 [00:53<00:45, 1.46s/it] 55%|█████▍ | 36/66 [00:54<00:40, 1.34s/it] 56%|█████▌ | 37/66 [00:55<00:36, 1.26s/it] 58%|█████▊ | 38/66 [00:56<00:33, 1.20s/it] 59%|█████▉ | 39/66 [00:57<00:31, 1.16s/it] 61%|██████ | 40/66 [00:58<00:29, 1.13s/it] 62%|██████▏ | 41/66 [00:59<00:27, 1.12s/it] 64%|██████▎ | 42/66 [01:00<00:27, 1.16s/it] 65%|██████▌ | 43/66 [01:01<00:26, 1.13s/it] 67%|██████▋ | 44/66 [01:03<00:24, 1.11s/it] 68%|██████▊ | 45/66 [01:04<00:23, 1.10s/it] 70%|██████▉ | 46/66 [01:05<00:21, 1.09s/it] 71%|███████ | 47/66 [01:06<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:07<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:10<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:11<00:14, 1.07s/it] 80%|████████ | 53/66 [01:12<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:13<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:14<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:18<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:19<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:26<00:00, 1.09it/s]100%|██████████| 66/66 [01:26<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:12, 20.61s/it] 9%|▉ | 2/22 [00:20<02:52, 8.64s/it] 14%|█▎ | 3/22 [00:21<01:34, 4.97s/it] 18%|█▊ | 4/22 [00:21<00:56, 3.11s/it] 23%|██▎ | 5/22 [00:21<00:35, 2.09s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.47s/it] 32%|███▏ | 7/22 [00:22<00:16, 1.07s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.22it/s] 41%|████ | 9/22 [00:35<00:57, 4.45s/it] 45%|████▌ | 10/22 [00:35<00:37, 3.16s/it] 50%|█████ | 11/22 [00:35<00:25, 2.27s/it] 55%|█████▍ | 12/22 [00:36<00:16, 1.66s/it] 59%|█████▉ | 13/22 [00:36<00:11, 1.24s/it] 64%|██████▎ | 14/22 [00:36<00:07, 1.06it/s] 68%|██████▊ | 15/22 [00:36<00:05, 1.35it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.67it/s] 77%|███████▋ | 17/22 [00:45<00:15, 3.06s/it] 82%|████████▏ | 18/22 [00:46<00:08, 2.22s/it] 86%|████████▋ | 19/22 [00:46<00:04, 1.63s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.22s/it] 95%|█████████▌| 21/22 [00:46<00:00, 1.07it/s]100%|██████████| 22/22 [00:47<00:00, 1.36it/s]100%|██████████| 22/22 [00:47<00:00, 2.15s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.594465272799703 --change-- -0.014319555450031829
Val loss: 0.5867088220336221 --change-- -0.002099952914498049
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.2266263961792 seconds.
=======================================================================
Epoch 45/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:09, 8.46s/it] 3%|▎ | 2/66 [00:09<04:23, 4.11s/it] 5%|▍ | 3/66 [00:10<02:51, 2.72s/it] 6%|▌ | 4/66 [00:11<02:08, 2.07s/it] 8%|▊ | 5/66 [00:12<01:44, 1.71s/it] 9%|▉ | 6/66 [00:13<01:29, 1.49s/it] 11%|█ | 7/66 [00:14<01:19, 1.35s/it] 12%|█▏ | 8/66 [00:15<01:13, 1.26s/it] 14%|█▎ | 9/66 [00:16<01:08, 1.20s/it] 15%|█▌ | 10/66 [00:18<01:04, 1.16s/it] 17%|█▋ | 11/66 [00:19<01:02, 1.13s/it] 18%|█▊ | 12/66 [00:20<01:00, 1.11s/it] 20%|█▉ | 13/66 [00:21<00:58, 1.10s/it] 21%|██ | 14/66 [00:22<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:23<00:55, 1.08s/it] 24%|██▍ | 16/66 [00:24<00:53, 1.08s/it] 26%|██▌ | 17/66 [00:25<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:26<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:27<00:50, 1.07s/it] 30%|███ | 20/66 [00:28<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:29<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:30<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:31<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:33<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:34<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:35<00:42, 1.07s/it] 41%|████ | 27/66 [00:36<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:37<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:38<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:39<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:40<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:41<00:36, 1.07s/it] 50%|█████ | 33/66 [00:42<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:43<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:44<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:45<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:46<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:47<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:49<00:28, 1.07s/it] 61%|██████ | 40/66 [00:50<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:51<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:52<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:53<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:54<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:55<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:56<00:21, 1.07s/it] 71%|███████ | 47/66 [00:57<00:20, 1.07s/it] 73%|███████▎ | 48/66 [00:58<00:19, 1.07s/it] 74%|███████▍ | 49/66 [00:59<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:00<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:01<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:02<00:14, 1.07s/it] 80%|████████ | 53/66 [01:03<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:06<00:18, 1.53s/it] 83%|████████▎ | 55/66 [01:07<00:15, 1.39s/it] 85%|████████▍ | 56/66 [01:08<00:12, 1.29s/it] 86%|████████▋ | 57/66 [01:09<00:11, 1.23s/it] 88%|████████▊ | 58/66 [01:10<00:09, 1.18s/it] 89%|████████▉ | 59/66 [01:11<00:08, 1.14s/it] 91%|█████████ | 60/66 [01:12<00:06, 1.12s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.10s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.09s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.09s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.08s/it] 98%|█████████▊| 65/66 [01:18<00:01, 1.08s/it]100%|██████████| 66/66 [01:18<00:00, 1.09it/s]100%|██████████| 66/66 [01:18<00:00, 1.20s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:32, 18.69s/it] 9%|▉ | 2/22 [00:18<02:37, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.39s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:32<00:55, 4.26s/it] 45%|████▌ | 10/22 [00:32<00:36, 3.03s/it] 50%|█████ | 11/22 [00:33<00:24, 2.18s/it] 55%|█████▍ | 12/22 [00:33<00:16, 1.60s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.20s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.09it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.39it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:45<00:18, 3.62s/it] 82%|████████▏ | 18/22 [00:45<00:10, 2.61s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.91s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.41s/it] 95%|█████████▌| 21/22 [00:46<00:01, 1.07s/it]100%|██████████| 22/22 [00:46<00:00, 1.21it/s]100%|██████████| 22/22 [00:46<00:00, 2.11s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6123825004537597 --change-- 0.01791722765405679
Val loss: 0.6029668694192712 --change-- 0.016258047385649177
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 127.55697011947632 seconds.
=======================================================================
Epoch 46/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:11<12:11, 11.25s/it] 3%|▎ | 2/66 [00:12<05:36, 5.26s/it] 5%|▍ | 3/66 [00:13<03:30, 3.35s/it] 6%|▌ | 4/66 [00:14<02:31, 2.45s/it] 8%|▊ | 5/66 [00:15<01:58, 1.95s/it] 9%|▉ | 6/66 [00:16<01:38, 1.65s/it] 11%|█ | 7/66 [00:17<01:26, 1.46s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:23<02:16, 2.40s/it] 15%|█▌ | 10/66 [00:24<01:51, 1.99s/it] 17%|█▋ | 11/66 [00:25<01:33, 1.71s/it] 18%|█▊ | 12/66 [00:26<01:21, 1.51s/it] 20%|█▉ | 13/66 [00:27<01:12, 1.38s/it] 21%|██ | 14/66 [00:28<01:06, 1.28s/it] 23%|██▎ | 15/66 [00:29<01:02, 1.22s/it] 24%|██▍ | 16/66 [00:30<00:58, 1.17s/it] 26%|██▌ | 17/66 [00:31<00:55, 1.14s/it] 27%|██▋ | 18/66 [00:33<00:53, 1.12s/it] 29%|██▉ | 19/66 [00:34<00:51, 1.10s/it] 30%|███ | 20/66 [00:36<01:07, 1.47s/it] 32%|███▏ | 21/66 [00:37<01:00, 1.35s/it] 33%|███▎ | 22/66 [00:38<00:55, 1.26s/it] 35%|███▍ | 23/66 [00:39<00:51, 1.20s/it] 36%|███▋ | 24/66 [00:40<00:48, 1.16s/it] 38%|███▊ | 25/66 [00:41<00:46, 1.13s/it] 39%|███▉ | 26/66 [00:42<00:44, 1.11s/it] 41%|████ | 27/66 [00:43<00:42, 1.10s/it] 42%|████▏ | 28/66 [00:44<00:41, 1.09s/it] 44%|████▍ | 29/66 [00:46<00:40, 1.08s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:51<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:52<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:53<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:54<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:58<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:00<00:26, 1.10s/it] 65%|██████▌ | 43/66 [01:01<00:25, 1.09s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.08s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:07<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:08<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:09<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:10<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.29s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:27, 18.44s/it] 9%|▉ | 2/22 [00:18<02:34, 7.75s/it] 14%|█▎ | 3/22 [00:18<01:22, 4.33s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.73s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.84s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.30s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.35it/s] 41%|████ | 9/22 [00:30<00:49, 3.80s/it] 45%|████▌ | 10/22 [00:31<00:32, 2.71s/it] 50%|█████ | 11/22 [00:31<00:21, 1.96s/it] 55%|█████▍ | 12/22 [00:31<00:14, 1.45s/it] 59%|█████▉ | 13/22 [00:31<00:09, 1.09s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.19it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.50it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.83it/s] 77%|███████▋ | 17/22 [00:41<00:15, 3.05s/it] 82%|████████▏ | 18/22 [00:41<00:08, 2.21s/it] 86%|████████▋ | 19/22 [00:42<00:04, 1.63s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.22s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.07it/s]100%|██████████| 22/22 [00:42<00:00, 1.37it/s]100%|██████████| 22/22 [00:42<00:00, 1.95s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5953164628443827 --change-- -0.017066037609377083
Val loss: 0.6041622216051276 --change-- 0.0011953521858563132
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 130.22453474998474 seconds.
=======================================================================
Epoch 47/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<04:08, 3.82s/it] 3%|▎ | 2/66 [00:11<06:25, 6.03s/it] 5%|▍ | 3/66 [00:16<06:07, 5.83s/it] 6%|▌ | 4/66 [00:18<04:05, 3.95s/it] 8%|▊ | 5/66 [00:19<02:57, 2.91s/it] 9%|▉ | 6/66 [00:20<02:17, 2.28s/it] 11%|█ | 7/66 [00:21<01:51, 1.89s/it] 12%|█▏ | 8/66 [00:22<01:34, 1.63s/it] 14%|█▎ | 9/66 [00:23<01:22, 1.45s/it] 15%|█▌ | 10/66 [00:24<01:14, 1.33s/it] 17%|█▋ | 11/66 [00:25<01:08, 1.25s/it] 18%|█▊ | 12/66 [00:26<01:04, 1.20s/it] 20%|█▉ | 13/66 [00:27<01:01, 1.16s/it] 21%|██ | 14/66 [00:28<00:58, 1.13s/it] 23%|██▎ | 15/66 [00:29<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.10s/it] 26%|██▌ | 17/66 [00:31<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:33<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:34<00:50, 1.08s/it] 30%|███ | 20/66 [00:35<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:51, 1.67s/it] 55%|█████▍ | 36/66 [00:54<00:44, 1.49s/it] 56%|█████▌ | 37/66 [00:55<00:39, 1.36s/it] 58%|█████▊ | 38/66 [00:56<00:35, 1.27s/it] 59%|█████▉ | 39/66 [00:57<00:32, 1.21s/it] 61%|██████ | 40/66 [00:58<00:30, 1.17s/it] 62%|██████▏ | 41/66 [00:59<00:28, 1.15s/it] 64%|██████▎ | 42/66 [01:00<00:26, 1.12s/it] 65%|██████▌ | 43/66 [01:01<00:25, 1.11s/it] 67%|██████▋ | 44/66 [01:02<00:24, 1.09s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.09s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.08s/it] 71%|███████ | 47/66 [01:06<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:07<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:10<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:11<00:14, 1.07s/it] 80%|████████ | 53/66 [01:12<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:13<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:14<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.10it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:38, 18.96s/it] 9%|▉ | 2/22 [00:19<02:39, 7.97s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.45s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.80s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.88s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.33s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:32<00:54, 4.16s/it] 45%|████▌ | 10/22 [00:32<00:35, 2.96s/it] 50%|█████ | 11/22 [00:32<00:23, 2.13s/it] 55%|█████▍ | 12/22 [00:33<00:15, 1.56s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:43<00:15, 3.06s/it] 82%|████████▏ | 18/22 [00:43<00:08, 2.22s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.63s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.22s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.07it/s]100%|██████████| 22/22 [00:44<00:00, 1.36it/s]100%|██████████| 22/22 [00:44<00:00, 2.02s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.604459494124842 --change-- 0.009143031280459346
Val loss: 0.5947324890982021 --change-- -0.00942973250692547
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.48354482650757 seconds.
=======================================================================
Epoch 48/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:06<06:56, 6.41s/it] 3%|▎ | 2/66 [00:07<03:29, 3.27s/it] 5%|▍ | 3/66 [00:13<04:33, 4.34s/it] 6%|▌ | 4/66 [00:14<03:09, 3.05s/it] 8%|▊ | 5/66 [00:15<02:22, 2.33s/it] 9%|▉ | 6/66 [00:16<01:54, 1.90s/it] 11%|█ | 7/66 [00:17<01:36, 1.63s/it] 12%|█▏ | 8/66 [00:18<01:24, 1.45s/it] 14%|█▎ | 9/66 [00:19<01:15, 1.33s/it] 15%|█▌ | 10/66 [00:20<01:09, 1.25s/it] 17%|█▋ | 11/66 [00:21<01:05, 1.19s/it] 18%|█▊ | 12/66 [00:22<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.13s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:30<01:31, 1.88s/it] 27%|██▋ | 18/66 [00:31<01:18, 1.63s/it] 29%|██▉ | 19/66 [00:32<01:08, 1.46s/it] 30%|███ | 20/66 [00:33<01:01, 1.34s/it] 32%|███▏ | 21/66 [00:34<00:56, 1.26s/it] 33%|███▎ | 22/66 [00:36<00:52, 1.20s/it] 35%|███▍ | 23/66 [00:37<00:49, 1.16s/it] 36%|███▋ | 24/66 [00:38<00:47, 1.13s/it] 38%|███▊ | 25/66 [00:39<00:45, 1.11s/it] 39%|███▉ | 26/66 [00:40<00:43, 1.10s/it] 41%|████ | 27/66 [00:41<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:42<00:41, 1.08s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.08s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:03<01:02, 2.74s/it] 67%|██████▋ | 44/66 [01:05<00:49, 2.24s/it] 68%|██████▊ | 45/66 [01:06<00:39, 1.89s/it] 70%|██████▉ | 46/66 [01:07<00:32, 1.64s/it] 71%|███████ | 47/66 [01:08<00:27, 1.47s/it] 73%|███████▎ | 48/66 [01:09<00:24, 1.35s/it] 74%|███████▍ | 49/66 [01:10<00:21, 1.26s/it] 76%|███████▌ | 50/66 [01:11<00:19, 1.21s/it] 77%|███████▋ | 51/66 [01:13<00:19, 1.31s/it] 79%|███████▉ | 52/66 [01:14<00:17, 1.23s/it] 80%|████████ | 53/66 [01:15<00:15, 1.18s/it] 82%|████████▏ | 54/66 [01:16<00:13, 1.15s/it] 83%|████████▎ | 55/66 [01:17<00:12, 1.12s/it] 85%|████████▍ | 56/66 [01:18<00:11, 1.11s/it] 86%|████████▋ | 57/66 [01:19<00:09, 1.10s/it] 88%|████████▊ | 58/66 [01:20<00:08, 1.09s/it] 89%|████████▉ | 59/66 [01:21<00:07, 1.08s/it] 91%|█████████ | 60/66 [01:22<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:23<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:24<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:25<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:26<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:27<00:01, 1.07s/it]100%|██████████| 66/66 [01:28<00:00, 1.09it/s]100%|██████████| 66/66 [01:28<00:00, 1.34s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:27, 18.46s/it] 9%|▉ | 2/22 [00:18<02:35, 7.76s/it] 14%|█▎ | 3/22 [00:18<01:22, 4.34s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.73s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.84s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.31s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.35it/s] 41%|████ | 9/22 [00:31<00:54, 4.16s/it] 45%|████▌ | 10/22 [00:32<00:35, 2.96s/it] 50%|█████ | 11/22 [00:32<00:23, 2.13s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:42<00:15, 3.10s/it] 82%|████████▏ | 18/22 [00:43<00:08, 2.25s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.65s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.23s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.06it/s]100%|██████████| 22/22 [00:44<00:00, 1.35it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5937833880422679 --change-- -0.010676106082574077
Val loss: 0.5887318334796212 --change-- -0.006000655618580875
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.82110261917114 seconds.
=======================================================================
Epoch 49/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:13, 7.60s/it] 3%|▎ | 2/66 [00:08<04:00, 3.76s/it] 5%|▍ | 3/66 [00:09<02:39, 2.53s/it] 6%|▌ | 4/66 [00:10<02:00, 1.95s/it] 8%|▊ | 5/66 [00:12<01:51, 1.82s/it] 9%|▉ | 6/66 [00:15<02:20, 2.34s/it] 11%|█ | 7/66 [00:16<01:53, 1.92s/it] 12%|█▏ | 8/66 [00:17<01:35, 1.65s/it] 14%|█▎ | 9/66 [00:18<01:23, 1.47s/it] 15%|█▌ | 10/66 [00:20<01:15, 1.34s/it] 17%|█▋ | 11/66 [00:21<01:09, 1.26s/it] 18%|█▊ | 12/66 [00:22<01:04, 1.20s/it] 20%|█▉ | 13/66 [00:23<01:01, 1.16s/it] 21%|██ | 14/66 [00:24<00:58, 1.13s/it] 23%|██▎ | 15/66 [00:25<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:26<00:55, 1.10s/it] 26%|██▌ | 17/66 [00:27<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:28<00:52, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.08s/it] 30%|███ | 20/66 [00:30<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.08s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<01:06, 2.03s/it] 52%|█████▏ | 34/66 [00:48<00:55, 1.74s/it] 53%|█████▎ | 35/66 [00:49<00:47, 1.54s/it] 55%|█████▍ | 36/66 [00:50<00:41, 1.40s/it] 56%|█████▌ | 37/66 [00:52<00:37, 1.30s/it] 58%|█████▊ | 38/66 [00:53<00:34, 1.23s/it] 59%|█████▉ | 39/66 [00:54<00:31, 1.18s/it] 61%|██████ | 40/66 [00:55<00:29, 1.15s/it] 62%|██████▏ | 41/66 [00:56<00:28, 1.12s/it] 64%|██████▎ | 42/66 [00:57<00:26, 1.11s/it] 65%|██████▌ | 43/66 [00:58<00:25, 1.09s/it] 67%|██████▋ | 44/66 [00:59<00:24, 1.09s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.09s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.08s/it] 71%|███████ | 47/66 [01:02<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:19, 1.48s/it] 82%|████████▏ | 54/66 [01:11<00:16, 1.36s/it] 83%|████████▎ | 55/66 [01:12<00:13, 1.27s/it] 85%|████████▍ | 56/66 [01:13<00:12, 1.21s/it] 86%|████████▋ | 57/66 [01:14<00:10, 1.17s/it] 88%|████████▊ | 58/66 [01:15<00:09, 1.14s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.12s/it] 91%|█████████ | 60/66 [01:19<00:09, 1.54s/it] 92%|█████████▏| 61/66 [01:20<00:07, 1.40s/it] 94%|█████████▍| 62/66 [01:21<00:05, 1.30s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.23s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.18s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.15s/it]100%|██████████| 66/66 [01:25<00:00, 1.03it/s]100%|██████████| 66/66 [01:25<00:00, 1.29s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:03, 20.18s/it] 9%|▉ | 2/22 [00:20<02:49, 8.47s/it] 14%|█▎ | 3/22 [00:20<01:29, 4.72s/it] 18%|█▊ | 4/22 [00:20<00:53, 2.96s/it] 23%|██▎ | 5/22 [00:21<00:33, 1.99s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.40s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.03s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.27it/s] 41%|████ | 9/22 [00:33<00:55, 4.24s/it] 45%|████▌ | 10/22 [00:34<00:36, 3.02s/it] 50%|█████ | 11/22 [00:34<00:23, 2.17s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.59s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.19s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.39it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.72it/s] 77%|███████▋ | 17/22 [00:43<00:13, 2.78s/it] 82%|████████▏ | 18/22 [00:43<00:08, 2.02s/it] 86%|████████▋ | 19/22 [00:44<00:04, 1.50s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.13s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.15it/s]100%|██████████| 22/22 [00:44<00:00, 1.46it/s]100%|██████████| 22/22 [00:44<00:00, 2.04s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5959586840094501 --change-- 0.0021752959671821337
Val loss: 0.60228062488816 --change-- 0.013548791408538818
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.7846987247467 seconds.
=======================================================================
Epoch 50/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<15:21, 14.18s/it] 3%|▎ | 2/66 [00:15<06:53, 6.47s/it] 5%|▍ | 3/66 [00:16<04:12, 4.00s/it] 6%|▌ | 4/66 [00:17<02:56, 2.84s/it] 8%|▊ | 5/66 [00:18<02:14, 2.20s/it] 9%|▉ | 6/66 [00:19<01:48, 1.82s/it] 11%|█ | 7/66 [00:20<01:32, 1.57s/it] 12%|█▏ | 8/66 [00:21<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:23<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:24<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:25<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:26<00:59, 1.12s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:35<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:39<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:00<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:01<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:08<00:25, 1.58s/it] 77%|███████▋ | 51/66 [01:09<00:21, 1.43s/it] 79%|███████▉ | 52/66 [01:10<00:18, 1.32s/it] 80%|████████ | 53/66 [01:11<00:16, 1.25s/it] 82%|████████▏ | 54/66 [01:12<00:14, 1.19s/it] 83%|████████▎ | 55/66 [01:13<00:12, 1.15s/it] 85%|████████▍ | 56/66 [01:14<00:11, 1.13s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.11s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.10s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.09s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:22<07:53, 22.55s/it] 9%|▉ | 2/22 [00:22<03:08, 9.44s/it] 14%|█▎ | 3/22 [00:23<01:39, 5.25s/it] 18%|█▊ | 4/22 [00:23<00:59, 3.28s/it] 23%|██▎ | 5/22 [00:23<00:37, 2.20s/it] 27%|██▋ | 6/22 [00:23<00:24, 1.54s/it] 32%|███▏ | 7/22 [00:24<00:16, 1.12s/it] 36%|███▋ | 8/22 [00:24<00:11, 1.18it/s] 41%|████ | 9/22 [00:35<00:54, 4.17s/it] 45%|████▌ | 10/22 [00:36<00:35, 2.96s/it] 50%|█████ | 11/22 [00:36<00:23, 2.14s/it] 55%|█████▍ | 12/22 [00:36<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:36<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:37<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:37<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.74it/s] 77%|███████▋ | 17/22 [00:46<00:15, 3.10s/it] 82%|████████▏ | 18/22 [00:46<00:08, 2.25s/it] 86%|████████▋ | 19/22 [00:47<00:04, 1.65s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.24s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.06it/s]100%|██████████| 22/22 [00:48<00:00, 1.35it/s]100%|██████████| 22/22 [00:48<00:00, 2.18s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.596398745556824 --change-- 0.0004400615473739711
Val loss: 0.594757310368798 --change-- -0.0075233145193620565
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.01755738258362 seconds.
=======================================================================
Epoch 51/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:26, 3.18s/it] 3%|▎ | 2/66 [00:11<06:40, 6.26s/it] 5%|▍ | 3/66 [00:12<04:04, 3.89s/it] 6%|▌ | 4/66 [00:13<02:52, 2.77s/it] 8%|▊ | 5/66 [00:14<02:11, 2.16s/it] 9%|▉ | 6/66 [00:15<01:47, 1.79s/it] 11%|█ | 7/66 [00:16<01:31, 1.55s/it] 12%|█▏ | 8/66 [00:17<01:21, 1.40s/it] 14%|█▎ | 9/66 [00:19<01:13, 1.29s/it] 15%|█▌ | 10/66 [00:20<01:08, 1.22s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.11s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.09s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.09s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.08s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.08s/it] 79%|███████▉ | 52/66 [01:05<00:15, 1.07s/it] 80%|████████ | 53/66 [01:06<00:14, 1.08s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.09it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:22<07:53, 22.53s/it] 9%|▉ | 2/22 [00:22<03:08, 9.43s/it] 14%|█▎ | 3/22 [00:23<01:39, 5.25s/it] 18%|█▊ | 4/22 [00:23<00:59, 3.28s/it] 23%|██▎ | 5/22 [00:23<00:37, 2.19s/it] 27%|██▋ | 6/22 [00:23<00:24, 1.54s/it] 32%|███▏ | 7/22 [00:24<00:16, 1.12s/it] 36%|███▋ | 8/22 [00:24<00:11, 1.18it/s] 41%|████ | 9/22 [00:36<00:57, 4.39s/it] 45%|████▌ | 10/22 [00:36<00:37, 3.12s/it] 50%|█████ | 11/22 [00:37<00:24, 2.24s/it] 55%|█████▍ | 12/22 [00:37<00:16, 1.64s/it] 59%|█████▉ | 13/22 [00:37<00:11, 1.23s/it] 64%|██████▎ | 14/22 [00:37<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:38<00:05, 1.36it/s] 73%|███████▎ | 16/22 [00:38<00:03, 1.69it/s] 77%|███████▋ | 17/22 [00:47<00:15, 3.20s/it] 82%|████████▏ | 18/22 [00:52<00:14, 3.62s/it] 86%|████████▋ | 19/22 [00:52<00:07, 2.61s/it] 91%|█████████ | 20/22 [00:52<00:03, 1.91s/it] 95%|█████████▌| 21/22 [00:53<00:01, 1.42s/it]100%|██████████| 22/22 [00:53<00:00, 1.07s/it]100%|██████████| 22/22 [00:53<00:00, 2.42s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5973624746308072 --change-- 0.0009637290739831217
Val loss: 0.5937408642335371 --change-- -0.0010164461352608622
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.39729523658752 seconds.
=======================================================================
Epoch 52/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<09:53, 9.13s/it] 3%|▎ | 2/66 [00:10<04:40, 4.39s/it] 5%|▍ | 3/66 [00:11<03:00, 2.87s/it] 6%|▌ | 4/66 [00:12<02:13, 2.16s/it] 8%|▊ | 5/66 [00:13<01:47, 1.77s/it] 9%|▉ | 6/66 [00:14<01:31, 1.53s/it] 11%|█ | 7/66 [00:15<01:21, 1.38s/it] 12%|█▏ | 8/66 [00:16<01:14, 1.28s/it] 14%|█▎ | 9/66 [00:17<01:09, 1.21s/it] 15%|█▌ | 10/66 [00:18<01:05, 1.17s/it] 17%|█▋ | 11/66 [00:19<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:20<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:21<00:58, 1.10s/it] 21%|██ | 14/66 [00:23<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:25<01:18, 1.53s/it] 24%|██▍ | 16/66 [00:26<01:09, 1.39s/it] 26%|██▌ | 17/66 [00:27<01:03, 1.30s/it] 27%|██▋ | 18/66 [00:28<00:58, 1.23s/it] 29%|██▉ | 19/66 [00:29<00:55, 1.18s/it] 30%|███ | 20/66 [00:30<00:52, 1.15s/it] 32%|███▏ | 21/66 [00:31<00:50, 1.12s/it] 33%|███▎ | 22/66 [00:33<00:48, 1.11s/it] 35%|███▍ | 23/66 [00:34<00:47, 1.10s/it] 36%|███▋ | 24/66 [00:35<00:45, 1.09s/it] 38%|███▊ | 25/66 [00:36<00:44, 1.08s/it] 39%|███▉ | 26/66 [00:37<00:43, 1.08s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:55, 1.79s/it] 55%|█████▍ | 36/66 [00:50<00:47, 1.57s/it] 56%|█████▌ | 37/66 [00:51<00:41, 1.42s/it] 58%|█████▊ | 38/66 [00:52<00:36, 1.32s/it] 59%|█████▉ | 39/66 [00:53<00:33, 1.24s/it] 61%|██████ | 40/66 [00:54<00:30, 1.19s/it] 62%|██████▏ | 41/66 [00:55<00:28, 1.15s/it] 64%|██████▎ | 42/66 [00:56<00:27, 1.13s/it] 65%|██████▌ | 43/66 [00:57<00:25, 1.11s/it] 67%|██████▋ | 44/66 [00:58<00:24, 1.10s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.09s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.08s/it] 71%|███████ | 47/66 [01:02<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:32, 18.68s/it] 9%|▉ | 2/22 [00:18<02:36, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.39s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:33<00:58, 4.51s/it] 45%|████▌ | 10/22 [00:33<00:38, 3.20s/it] 50%|█████ | 11/22 [00:33<00:25, 2.30s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.68s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.25s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.05it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.34it/s] 73%|███████▎ | 16/22 [00:36<00:05, 1.11it/s] 77%|███████▋ | 17/22 [00:48<00:21, 4.38s/it] 82%|████████▏ | 18/22 [00:49<00:12, 3.18s/it] 86%|████████▋ | 19/22 [00:49<00:07, 2.35s/it] 91%|█████████ | 20/22 [00:49<00:03, 1.72s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.29s/it]100%|██████████| 22/22 [00:50<00:00, 1.02it/s]100%|██████████| 22/22 [00:50<00:00, 2.28s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5945638682096059 --change-- -0.002798606421201222
Val loss: 0.6022554419257424 --change-- 0.008514577692205316
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.3276937007904 seconds.
=======================================================================
Epoch 53/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:07, 8.43s/it] 3%|▎ | 2/66 [00:09<04:22, 4.10s/it] 5%|▍ | 3/66 [00:12<03:41, 3.51s/it] 6%|▌ | 4/66 [00:13<02:37, 2.55s/it] 8%|▊ | 5/66 [00:14<02:02, 2.01s/it] 9%|▉ | 6/66 [00:15<01:41, 1.69s/it] 11%|█ | 7/66 [00:16<01:27, 1.49s/it] 12%|█▏ | 8/66 [00:17<01:18, 1.35s/it] 14%|█▎ | 9/66 [00:18<01:12, 1.26s/it] 15%|█▌ | 10/66 [00:19<01:07, 1.20s/it] 17%|█▋ | 11/66 [00:23<01:41, 1.84s/it] 18%|█▊ | 12/66 [00:24<01:26, 1.61s/it] 20%|█▉ | 13/66 [00:25<01:16, 1.44s/it] 21%|██ | 14/66 [00:26<01:09, 1.33s/it] 23%|██▎ | 15/66 [00:27<01:03, 1.25s/it] 24%|██▍ | 16/66 [00:28<00:59, 1.20s/it] 26%|██▌ | 17/66 [00:29<00:56, 1.16s/it] 27%|██▋ | 18/66 [00:30<00:54, 1.13s/it] 29%|██▉ | 19/66 [00:31<00:52, 1.11s/it] 30%|███ | 20/66 [00:32<00:50, 1.10s/it] 32%|███▏ | 21/66 [00:33<00:49, 1.09s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:36<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:38<00:44, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.23s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:39, 21.90s/it] 9%|▉ | 2/22 [00:22<03:03, 9.17s/it] 14%|█▎ | 3/22 [00:22<01:37, 5.11s/it] 18%|█▊ | 4/22 [00:22<00:57, 3.20s/it] 23%|██▎ | 5/22 [00:22<00:36, 2.14s/it] 27%|██▋ | 6/22 [00:23<00:24, 1.50s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.10s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.20it/s] 41%|████ | 9/22 [00:33<00:46, 3.61s/it] 45%|████▌ | 10/22 [00:33<00:31, 2.62s/it] 50%|█████ | 11/22 [00:34<00:20, 1.90s/it] 55%|█████▍ | 12/22 [00:34<00:14, 1.40s/it] 59%|█████▉ | 13/22 [00:34<00:09, 1.06s/it] 64%|██████▎ | 14/22 [00:34<00:06, 1.22it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.53it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.86it/s] 77%|███████▋ | 17/22 [00:43<00:13, 2.64s/it] 82%|████████▏ | 18/22 [00:43<00:07, 1.97s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.50s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.17s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.11it/s]100%|██████████| 22/22 [00:44<00:00, 1.41it/s]100%|██████████| 22/22 [00:44<00:00, 2.03s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5913026651353327 --change-- -0.0032612030742732445
Val loss: 0.5914547917517748 --change-- -0.010800650173967585
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.83345532417297 seconds.
=======================================================================
Epoch 54/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<05:25, 5.01s/it] 3%|▎ | 2/66 [00:14<08:05, 7.59s/it] 5%|▍ | 3/66 [00:15<04:50, 4.61s/it] 6%|▌ | 4/66 [00:16<03:19, 3.21s/it] 8%|▊ | 5/66 [00:17<02:28, 2.44s/it] 9%|▉ | 6/66 [00:18<01:58, 1.97s/it] 11%|█ | 7/66 [00:19<01:38, 1.68s/it] 12%|█▏ | 8/66 [00:20<01:25, 1.48s/it] 14%|█▎ | 9/66 [00:21<01:17, 1.35s/it] 15%|█▌ | 10/66 [00:22<01:10, 1.26s/it] 17%|█▋ | 11/66 [00:24<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:25<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:26<01:00, 1.13s/it] 21%|██ | 14/66 [00:27<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:28<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:29<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:30<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:31<00:56, 1.17s/it] 29%|██▉ | 19/66 [00:32<00:53, 1.14s/it] 30%|███ | 20/66 [00:33<00:51, 1.12s/it] 32%|███▏ | 21/66 [00:34<00:49, 1.10s/it] 33%|███▎ | 22/66 [00:36<00:48, 1.09s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:38<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:39<00:44, 1.08s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:45, 19.30s/it] 9%|▉ | 2/22 [00:19<02:42, 8.10s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.52s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.84s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.91s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.35s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:35<01:05, 5.04s/it] 45%|████▌ | 10/22 [00:35<00:42, 3.56s/it] 50%|█████ | 11/22 [00:36<00:28, 2.55s/it] 55%|█████▍ | 12/22 [00:36<00:18, 1.86s/it] 59%|█████▉ | 13/22 [00:36<00:12, 1.38s/it] 64%|██████▎ | 14/22 [00:36<00:08, 1.04s/it] 68%|██████▊ | 15/22 [00:37<00:05, 1.24it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.55it/s] 77%|███████▋ | 17/22 [00:46<00:16, 3.29s/it] 82%|████████▏ | 18/22 [00:47<00:09, 2.38s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.74s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.01it/s]100%|██████████| 22/22 [00:48<00:00, 1.29it/s]100%|██████████| 22/22 [00:48<00:00, 2.19s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.594210461123299 --change-- 0.0029077959879663107
Val loss: 0.5863509774208069 --change-- -0.0051038143309679596
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.86745262145996 seconds.
=======================================================================
Epoch 55/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:28, 3.20s/it] 3%|▎ | 2/66 [00:08<04:25, 4.15s/it] 5%|▍ | 3/66 [00:09<02:52, 2.74s/it] 6%|▌ | 4/66 [00:10<02:08, 2.08s/it] 8%|▊ | 5/66 [00:11<01:44, 1.71s/it] 9%|▉ | 6/66 [00:12<01:29, 1.49s/it] 11%|█ | 7/66 [00:13<01:19, 1.35s/it] 12%|█▏ | 8/66 [00:14<01:13, 1.26s/it] 14%|█▎ | 9/66 [00:15<01:08, 1.20s/it] 15%|█▌ | 10/66 [00:16<01:04, 1.16s/it] 17%|█▋ | 11/66 [00:17<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:18<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:19<00:58, 1.10s/it] 21%|██ | 14/66 [00:22<01:22, 1.60s/it] 23%|██▎ | 15/66 [00:23<01:13, 1.44s/it] 24%|██▍ | 16/66 [00:31<02:46, 3.34s/it] 26%|██▌ | 17/66 [00:32<02:10, 2.66s/it] 27%|██▋ | 18/66 [00:33<01:44, 2.18s/it] 29%|██▉ | 19/66 [00:34<01:26, 1.84s/it] 30%|███ | 20/66 [00:35<01:14, 1.61s/it] 32%|███▏ | 21/66 [00:36<01:05, 1.45s/it] 33%|███▎ | 22/66 [00:37<00:58, 1.33s/it] 35%|███▍ | 23/66 [00:38<00:53, 1.25s/it] 36%|███▋ | 24/66 [00:39<00:50, 1.20s/it] 38%|███▊ | 25/66 [00:40<00:47, 1.16s/it] 39%|███▉ | 26/66 [00:42<00:45, 1.13s/it] 41%|████ | 27/66 [00:43<00:43, 1.11s/it] 42%|████▏ | 28/66 [00:44<00:41, 1.10s/it] 44%|████▍ | 29/66 [00:45<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:46<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:58<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:59<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:00<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:01<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:02<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.07s/it] 71%|███████ | 47/66 [01:04<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:40, 19.05s/it] 9%|▉ | 2/22 [00:19<02:40, 8.00s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.47s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.81s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.89s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.34s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:32<00:52, 4.01s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.86s/it] 50%|█████ | 11/22 [00:32<00:22, 2.06s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.52s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.14s/it] 64%|██████▎ | 14/22 [00:33<00:06, 1.14it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.45it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.78it/s] 77%|███████▋ | 17/22 [00:44<00:18, 3.66s/it] 82%|████████▏ | 18/22 [00:45<00:10, 2.64s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.93s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.43s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.08s/it]100%|██████████| 22/22 [00:46<00:00, 1.20it/s]100%|██████████| 22/22 [00:46<00:00, 2.10s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5990470939010154 --change-- 0.004836632777716399
Val loss: 0.591226642782038 --change-- 0.004875665361231074
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.91944456100464 seconds.
=======================================================================
Epoch 56/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:04<04:27, 4.11s/it] 3%|▎ | 2/66 [00:12<06:50, 6.41s/it] 5%|▍ | 3/66 [00:13<04:10, 3.97s/it] 6%|▌ | 4/66 [00:14<02:55, 2.82s/it] 8%|▊ | 5/66 [00:15<02:13, 2.19s/it] 9%|▉ | 6/66 [00:16<01:48, 1.81s/it] 11%|█ | 7/66 [00:17<01:32, 1.57s/it] 12%|█▏ | 8/66 [00:18<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:19<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:20<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.09it/s]100%|██████████| 66/66 [01:19<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:25, 18.34s/it] 9%|▉ | 2/22 [00:18<02:34, 7.71s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.31s/it] 18%|█▊ | 4/22 [00:19<00:48, 2.71s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.83s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.30s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.35it/s] 41%|████ | 9/22 [00:31<00:51, 3.97s/it] 45%|████▌ | 10/22 [00:31<00:33, 2.83s/it] 50%|█████ | 11/22 [00:31<00:22, 2.04s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.50s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.13s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.15it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.46it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.79it/s] 77%|███████▋ | 17/22 [00:42<00:15, 3.13s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.44s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.79s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.33s/it] 95%|█████████▌| 21/22 [00:43<00:01, 1.01s/it]100%|██████████| 22/22 [00:44<00:00, 1.27it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5916961640802049 --change-- -0.007350929820810537
Val loss: 0.5840281437743794 --change-- -0.007198499007658565
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 126.49008679389954 seconds.
=======================================================================
Epoch 57/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:25, 3.16s/it] 3%|▎ | 2/66 [00:12<07:05, 6.64s/it] 5%|▍ | 3/66 [00:13<04:33, 4.34s/it] 6%|▌ | 4/66 [00:14<03:09, 3.05s/it] 8%|▊ | 5/66 [00:15<02:22, 2.33s/it] 9%|▉ | 6/66 [00:17<01:54, 1.90s/it] 11%|█ | 7/66 [00:18<01:36, 1.63s/it] 12%|█▏ | 8/66 [00:19<01:24, 1.45s/it] 14%|█▎ | 9/66 [00:20<01:15, 1.33s/it] 15%|█▌ | 10/66 [00:21<01:09, 1.25s/it] 17%|█▋ | 11/66 [00:22<01:05, 1.19s/it] 18%|█▊ | 12/66 [00:23<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.13s/it] 21%|██ | 14/66 [00:25<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:28<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.08s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:33<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:37, 1.40s/it] 61%|██████ | 40/66 [00:54<00:33, 1.30s/it] 62%|██████▏ | 41/66 [00:55<00:30, 1.23s/it] 64%|██████▎ | 42/66 [00:56<00:28, 1.18s/it] 65%|██████▌ | 43/66 [00:57<00:26, 1.15s/it] 67%|██████▋ | 44/66 [00:58<00:24, 1.12s/it] 68%|██████▊ | 45/66 [00:59<00:23, 1.11s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.10s/it] 71%|███████ | 47/66 [01:01<00:20, 1.09s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.08s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:15, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:13, 1.23s/it] 85%|████████▍ | 56/66 [01:12<00:11, 1.18s/it] 86%|████████▋ | 57/66 [01:13<00:10, 1.15s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.12s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.11s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.09s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:48, 19.45s/it] 9%|▉ | 2/22 [00:19<02:43, 8.17s/it] 14%|█▎ | 3/22 [00:19<01:26, 4.56s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.86s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.93s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.36s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.00s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.30it/s] 41%|████ | 9/22 [00:32<00:52, 4.07s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.90s/it] 50%|█████ | 11/22 [00:33<00:22, 2.09s/it] 55%|█████▍ | 12/22 [00:33<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:46<00:19, 3.88s/it] 82%|████████▏ | 18/22 [00:46<00:11, 2.80s/it] 86%|████████▋ | 19/22 [00:46<00:06, 2.04s/it] 91%|█████████ | 20/22 [00:46<00:03, 1.50s/it] 95%|█████████▌| 21/22 [00:47<00:01, 1.13s/it]100%|██████████| 22/22 [00:47<00:00, 1.15it/s]100%|██████████| 22/22 [00:47<00:00, 2.16s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5930869210767382 --change-- 0.0013907569965333488
Val loss: 0.5853618207302961 --change-- 0.001333676955916685
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.81335997581482 seconds.
=======================================================================
Epoch 58/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:12<13:01, 12.02s/it] 3%|▎ | 2/66 [00:13<05:57, 5.58s/it] 5%|▍ | 3/66 [00:14<03:41, 3.52s/it] 6%|▌ | 4/66 [00:15<02:38, 2.55s/it] 8%|▊ | 5/66 [00:16<02:03, 2.02s/it] 9%|▉ | 6/66 [00:17<01:41, 1.69s/it] 11%|█ | 7/66 [00:18<01:27, 1.49s/it] 12%|█▏ | 8/66 [00:19<01:18, 1.36s/it] 14%|█▎ | 9/66 [00:21<01:28, 1.55s/it] 15%|█▌ | 10/66 [00:22<01:18, 1.40s/it] 17%|█▋ | 11/66 [00:23<01:11, 1.30s/it] 18%|█▊ | 12/66 [00:24<01:06, 1.23s/it] 20%|█▉ | 13/66 [00:25<01:02, 1.18s/it] 21%|██ | 14/66 [00:26<00:59, 1.15s/it] 23%|██▎ | 15/66 [00:27<00:57, 1.12s/it] 24%|██▍ | 16/66 [00:28<00:55, 1.11s/it] 26%|██▌ | 17/66 [00:30<01:02, 1.27s/it] 27%|██▋ | 18/66 [00:31<00:58, 1.21s/it] 29%|██▉ | 19/66 [00:32<00:54, 1.17s/it] 30%|███ | 20/66 [00:33<00:52, 1.14s/it] 32%|███▏ | 21/66 [00:34<00:50, 1.12s/it] 33%|███▎ | 22/66 [00:35<00:48, 1.10s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.09s/it] 36%|███▋ | 24/66 [00:38<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:39<00:47, 1.16s/it] 39%|███▉ | 26/66 [00:40<00:45, 1.13s/it] 41%|████ | 27/66 [00:41<00:43, 1.11s/it] 42%|████▏ | 28/66 [00:42<00:41, 1.10s/it] 44%|████▍ | 29/66 [00:43<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.08s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:32, 18.70s/it] 9%|▉ | 2/22 [00:18<02:37, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.39s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.33it/s] 41%|████ | 9/22 [00:37<01:13, 5.69s/it] 45%|████▌ | 10/22 [00:37<00:48, 4.02s/it] 50%|█████ | 11/22 [00:37<00:31, 2.87s/it] 55%|█████▍ | 12/22 [00:37<00:20, 2.08s/it] 59%|█████▉ | 13/22 [00:38<00:13, 1.53s/it] 64%|██████▎ | 14/22 [00:38<00:09, 1.15s/it] 68%|██████▊ | 15/22 [00:38<00:06, 1.13it/s] 73%|███████▎ | 16/22 [00:38<00:04, 1.44it/s] 77%|███████▋ | 17/22 [00:46<00:14, 2.80s/it] 82%|████████▏ | 18/22 [00:48<00:09, 2.39s/it] 86%|████████▋ | 19/22 [00:48<00:05, 1.75s/it] 91%|█████████ | 20/22 [00:48<00:02, 1.31s/it] 95%|█████████▌| 21/22 [00:48<00:00, 1.01it/s]100%|██████████| 22/22 [00:49<00:00, 1.29it/s]100%|██████████| 22/22 [00:49<00:00, 2.24s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.584200682758375 --change-- -0.008886238318363215
Val loss: 0.5936458347873255 --change-- 0.008284014057029387
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.0095808506012 seconds.
=======================================================================
Epoch 59/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:12<13:44, 12.69s/it] 3%|▎ | 2/66 [00:15<07:23, 6.93s/it] 5%|▍ | 3/66 [00:16<04:27, 4.25s/it] 6%|▌ | 4/66 [00:17<03:05, 3.00s/it] 8%|▊ | 5/66 [00:18<02:20, 2.30s/it] 9%|▉ | 6/66 [00:19<01:52, 1.88s/it] 11%|█ | 7/66 [00:20<01:35, 1.61s/it] 12%|█▏ | 8/66 [00:21<01:23, 1.44s/it] 14%|█▎ | 9/66 [00:23<01:15, 1.32s/it] 15%|█▌ | 10/66 [00:24<01:09, 1.24s/it] 17%|█▋ | 11/66 [00:25<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:28<01:15, 1.42s/it] 21%|██ | 14/66 [00:29<01:08, 1.32s/it] 23%|██▎ | 15/66 [00:30<01:03, 1.24s/it] 24%|██▍ | 16/66 [00:31<00:59, 1.19s/it] 26%|██▌ | 17/66 [00:32<00:56, 1.15s/it] 27%|██▋ | 18/66 [00:33<00:54, 1.13s/it] 29%|██▉ | 19/66 [00:34<00:52, 1.11s/it] 30%|███ | 20/66 [00:35<00:50, 1.10s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.09s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:39<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:40<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:41<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:42<00:42, 1.07s/it] 41%|████ | 27/66 [00:43<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:44<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:45<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:46<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:58<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:59<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:00<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:01<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:02<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.07s/it] 71%|███████ | 47/66 [01:04<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:11<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:12<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:13<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:14<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:15<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:15<05:24, 15.43s/it] 9%|▉ | 2/22 [00:15<02:10, 6.51s/it] 14%|█▎ | 3/22 [00:22<02:07, 6.71s/it] 18%|█▊ | 4/22 [00:22<01:14, 4.17s/it] 23%|██▎ | 5/22 [00:23<00:46, 2.76s/it] 27%|██▋ | 6/22 [00:23<00:30, 1.91s/it] 32%|███▏ | 7/22 [00:23<00:20, 1.37s/it] 36%|███▋ | 8/22 [00:23<00:14, 1.02s/it] 41%|████ | 9/22 [00:29<00:33, 2.55s/it] 45%|████▌ | 10/22 [00:30<00:22, 1.84s/it] 50%|█████ | 11/22 [00:37<00:39, 3.63s/it] 55%|█████▍ | 12/22 [00:38<00:26, 2.60s/it] 59%|█████▉ | 13/22 [00:38<00:17, 1.90s/it] 64%|██████▎ | 14/22 [00:38<00:11, 1.40s/it] 68%|██████▊ | 15/22 [00:38<00:07, 1.06s/it] 73%|███████▎ | 16/22 [00:39<00:04, 1.22it/s] 77%|███████▋ | 17/22 [00:40<00:05, 1.09s/it] 82%|████████▏ | 18/22 [00:48<00:12, 3.03s/it] 86%|████████▋ | 19/22 [00:48<00:06, 2.20s/it] 91%|█████████ | 20/22 [00:48<00:03, 1.62s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.21s/it]100%|██████████| 22/22 [00:49<00:00, 1.08it/s]100%|██████████| 22/22 [00:49<00:00, 2.25s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6028944959167306 --change-- 0.01869381315835561
Val loss: 0.5855637138540094 --change-- -0.008082120933316062
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.3561360836029 seconds.
=======================================================================
Epoch 60/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:47, 8.12s/it] 3%|▎ | 2/66 [00:15<08:06, 7.60s/it] 5%|▍ | 3/66 [00:16<04:50, 4.62s/it] 6%|▌ | 4/66 [00:17<03:19, 3.22s/it] 8%|▊ | 5/66 [00:18<02:28, 2.44s/it] 9%|▉ | 6/66 [00:19<01:58, 1.97s/it] 11%|█ | 7/66 [00:20<01:39, 1.68s/it] 12%|█▏ | 8/66 [00:21<01:26, 1.48s/it] 14%|█▎ | 9/66 [00:22<01:17, 1.35s/it] 15%|█▌ | 10/66 [00:23<01:10, 1.27s/it] 17%|█▋ | 11/66 [00:24<01:06, 1.21s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:27<01:00, 1.13s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:56, 1.18s/it] 29%|██▉ | 19/66 [00:33<00:53, 1.15s/it] 30%|███ | 20/66 [00:34<00:51, 1.12s/it] 32%|███▏ | 21/66 [00:35<00:49, 1.11s/it] 33%|███▎ | 22/66 [00:37<00:48, 1.10s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.09s/it] 36%|███▋ | 24/66 [00:39<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:40<00:44, 1.08s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:00<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:01<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:13<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:14<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:15<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:23<00:00, 1.09it/s]100%|██████████| 66/66 [01:23<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:15, 17.87s/it] 9%|▉ | 2/22 [00:18<02:30, 7.52s/it] 14%|█▎ | 3/22 [00:18<01:19, 4.21s/it] 18%|█▊ | 4/22 [00:18<00:47, 2.65s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.79s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.27s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.06it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.37it/s] 41%|████ | 9/22 [00:29<00:47, 3.67s/it] 45%|████▌ | 10/22 [00:30<00:32, 2.67s/it] 50%|█████ | 11/22 [00:31<00:23, 2.15s/it] 55%|█████▍ | 12/22 [00:31<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:31<00:10, 1.18s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:32<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:32<00:03, 1.73it/s] 77%|███████▋ | 17/22 [00:44<00:19, 3.94s/it] 82%|████████▏ | 18/22 [00:45<00:12, 3.16s/it] 86%|████████▋ | 19/22 [00:45<00:06, 2.29s/it] 91%|█████████ | 20/22 [00:46<00:03, 1.68s/it] 95%|█████████▌| 21/22 [00:46<00:01, 1.26s/it]100%|██████████| 22/22 [00:46<00:00, 1.04it/s]100%|██████████| 22/22 [00:46<00:00, 2.13s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5945916494340387 --change-- -0.008302846482691861
Val loss: 0.5914578999985348 --change-- 0.005894186144525415
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.549569606781 seconds.
=======================================================================
Epoch 61/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:42, 8.97s/it] 3%|▎ | 2/66 [00:10<04:36, 4.32s/it] 5%|▍ | 3/66 [00:11<02:58, 2.84s/it] 6%|▌ | 4/66 [00:12<02:12, 2.14s/it] 8%|▊ | 5/66 [00:13<01:46, 1.75s/it] 9%|▉ | 6/66 [00:14<01:31, 1.52s/it] 11%|█ | 7/66 [00:15<01:20, 1.37s/it] 12%|█▏ | 8/66 [00:16<01:13, 1.28s/it] 14%|█▎ | 9/66 [00:17<01:09, 1.21s/it] 15%|█▌ | 10/66 [00:18<01:05, 1.17s/it] 17%|█▋ | 11/66 [00:19<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:20<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:21<00:58, 1.10s/it] 21%|██ | 14/66 [00:22<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:23<00:55, 1.08s/it] 24%|██▍ | 16/66 [00:24<00:53, 1.08s/it] 26%|██▌ | 17/66 [00:26<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:27<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:28<00:50, 1.07s/it] 30%|███ | 20/66 [00:29<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:30<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:31<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:32<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:33<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:34<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:35<00:42, 1.07s/it] 41%|████ | 27/66 [00:36<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:57, 1.51s/it] 44%|████▍ | 29/66 [00:40<00:50, 1.37s/it] 45%|████▌ | 30/66 [00:41<00:46, 1.28s/it] 47%|████▋ | 31/66 [00:42<00:42, 1.22s/it] 48%|████▊ | 32/66 [00:43<00:39, 1.17s/it] 50%|█████ | 33/66 [00:44<00:37, 1.14s/it] 52%|█████▏ | 34/66 [00:45<00:35, 1.12s/it] 53%|█████▎ | 35/66 [00:46<00:34, 1.10s/it] 55%|█████▍ | 36/66 [00:49<00:51, 1.71s/it] 56%|█████▌ | 37/66 [00:50<00:43, 1.52s/it] 58%|█████▊ | 38/66 [00:51<00:38, 1.38s/it] 59%|█████▉ | 39/66 [00:53<00:34, 1.29s/it] 61%|██████ | 40/66 [00:54<00:31, 1.22s/it] 62%|██████▏ | 41/66 [00:55<00:29, 1.17s/it] 64%|██████▎ | 42/66 [00:57<00:34, 1.42s/it] 65%|██████▌ | 43/66 [00:58<00:30, 1.31s/it] 67%|██████▋ | 44/66 [00:59<00:27, 1.24s/it] 68%|██████▊ | 45/66 [01:00<00:24, 1.19s/it] 70%|██████▉ | 46/66 [01:01<00:23, 1.15s/it] 71%|███████ | 47/66 [01:02<00:21, 1.13s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.11s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.10s/it] 76%|███████▌ | 50/66 [01:07<00:26, 1.63s/it] 77%|███████▋ | 51/66 [01:08<00:21, 1.46s/it] 79%|███████▉ | 52/66 [01:09<00:18, 1.34s/it] 80%|████████ | 53/66 [01:10<00:16, 1.26s/it] 82%|████████▏ | 54/66 [01:11<00:14, 1.20s/it] 83%|████████▎ | 55/66 [01:12<00:12, 1.16s/it] 85%|████████▍ | 56/66 [01:13<00:11, 1.13s/it] 86%|████████▋ | 57/66 [01:15<00:10, 1.11s/it] 88%|████████▊ | 58/66 [01:16<00:08, 1.10s/it] 89%|████████▉ | 59/66 [01:17<00:07, 1.09s/it] 91%|█████████ | 60/66 [01:18<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:24<00:00, 1.09it/s]100%|██████████| 66/66 [01:24<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:44, 19.27s/it] 9%|▉ | 2/22 [00:19<02:41, 8.09s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.52s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.84s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.91s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.35s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:31<00:49, 3.83s/it] 45%|████▌ | 10/22 [00:32<00:33, 2.78s/it] 50%|█████ | 11/22 [00:32<00:22, 2.01s/it] 55%|█████▍ | 12/22 [00:32<00:14, 1.48s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.11s/it] 64%|██████▎ | 14/22 [00:33<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.47it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.80it/s] 77%|███████▋ | 17/22 [00:43<00:17, 3.46s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.50s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.83s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.36s/it] 95%|█████████▌| 21/22 [00:44<00:01, 1.03s/it]100%|██████████| 22/22 [00:45<00:00, 1.25it/s]100%|██████████| 22/22 [00:45<00:00, 2.06s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5976242766580508 --change-- 0.0030326272240120966
Val loss: 0.5869889936663888 --change-- -0.004468906332146028
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.58407282829285 seconds.
=======================================================================
Epoch 62/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:34, 9.76s/it] 3%|▎ | 2/66 [00:17<08:51, 8.30s/it] 5%|▍ | 3/66 [00:18<05:14, 5.00s/it] 6%|▌ | 4/66 [00:19<03:33, 3.45s/it] 8%|▊ | 5/66 [00:20<02:37, 2.59s/it] 9%|▉ | 6/66 [00:21<02:04, 2.07s/it] 11%|█ | 7/66 [00:22<01:42, 1.74s/it] 12%|█▏ | 8/66 [00:23<01:28, 1.53s/it] 14%|█▎ | 9/66 [00:24<01:18, 1.38s/it] 15%|█▌ | 10/66 [00:25<01:12, 1.29s/it] 17%|█▋ | 11/66 [00:26<01:07, 1.22s/it] 18%|█▊ | 12/66 [00:27<01:03, 1.17s/it] 20%|█▉ | 13/66 [00:28<01:00, 1.14s/it] 21%|██ | 14/66 [00:29<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:30<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:31<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:33<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:34<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:35<00:50, 1.08s/it] 30%|███ | 20/66 [00:36<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:37<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:38<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:39<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:40<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:41<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:42<00:42, 1.07s/it] 41%|████ | 27/66 [00:43<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:52, 1.37s/it] 44%|████▍ | 29/66 [00:49<01:21, 2.21s/it] 45%|████▌ | 30/66 [00:51<01:07, 1.86s/it] 47%|████▋ | 31/66 [00:52<00:56, 1.63s/it] 48%|████▊ | 32/66 [00:53<00:49, 1.46s/it] 50%|█████ | 33/66 [00:54<00:44, 1.34s/it] 52%|█████▏ | 34/66 [00:55<00:40, 1.26s/it] 53%|█████▎ | 35/66 [00:56<00:37, 1.20s/it] 55%|█████▍ | 36/66 [00:57<00:34, 1.16s/it] 56%|█████▌ | 37/66 [00:58<00:32, 1.13s/it] 58%|█████▊ | 38/66 [00:59<00:31, 1.12s/it] 59%|█████▉ | 39/66 [01:00<00:29, 1.10s/it] 61%|██████ | 40/66 [01:01<00:28, 1.09s/it] 62%|██████▏ | 41/66 [01:02<00:27, 1.08s/it] 64%|██████▎ | 42/66 [01:03<00:25, 1.08s/it] 65%|██████▌ | 43/66 [01:04<00:24, 1.08s/it] 67%|██████▋ | 44/66 [01:05<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:07<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:08<00:21, 1.07s/it] 71%|███████ | 47/66 [01:09<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:10<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:11<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:12<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:13<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:14<00:14, 1.07s/it] 80%|████████ | 53/66 [01:15<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:16<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:17<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:18<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:19<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:20<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:22<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:23<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:24<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:25<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:26<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:27<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:28<00:01, 1.07s/it]100%|██████████| 66/66 [01:28<00:00, 1.09it/s]100%|██████████| 66/66 [01:28<00:00, 1.35s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:35, 18.85s/it] 9%|▉ | 2/22 [00:19<02:38, 7.92s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.42s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.78s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.87s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.33s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.02it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.33it/s] 41%|████ | 9/22 [00:31<00:50, 3.88s/it] 45%|████▌ | 10/22 [00:31<00:33, 2.77s/it] 50%|█████ | 11/22 [00:32<00:22, 2.00s/it] 55%|█████▍ | 12/22 [00:32<00:14, 1.47s/it] 59%|█████▉ | 13/22 [00:32<00:09, 1.11s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.81it/s] 77%|███████▋ | 17/22 [00:41<00:14, 2.90s/it] 82%|████████▏ | 18/22 [00:47<00:15, 3.82s/it] 86%|████████▋ | 19/22 [00:47<00:08, 2.75s/it] 91%|█████████ | 20/22 [00:48<00:04, 2.01s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.48s/it]100%|██████████| 22/22 [00:48<00:00, 1.12s/it]100%|██████████| 22/22 [00:48<00:00, 2.21s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6032849099799877 --change-- 0.005660633321936892
Val loss: 0.5859485593709078 --change-- -0.001040434295480952
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 139.95937538146973 seconds.
=======================================================================
Epoch 63/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:13<14:20, 13.23s/it] 3%|▎ | 2/66 [00:14<06:28, 6.08s/it] 5%|▍ | 3/66 [00:15<03:58, 3.79s/it] 6%|▌ | 4/66 [00:16<02:48, 2.72s/it] 8%|▊ | 5/66 [00:17<02:09, 2.12s/it] 9%|▉ | 6/66 [00:18<01:45, 1.76s/it] 11%|█ | 7/66 [00:19<01:30, 1.54s/it] 12%|█▏ | 8/66 [00:20<01:20, 1.39s/it] 14%|█▎ | 9/66 [00:24<02:08, 2.25s/it] 15%|█▌ | 10/66 [00:25<01:45, 1.88s/it] 17%|█▋ | 11/66 [00:26<01:29, 1.63s/it] 18%|█▊ | 12/66 [00:28<01:18, 1.46s/it] 20%|█▉ | 13/66 [00:29<01:11, 1.34s/it] 21%|██ | 14/66 [00:30<01:05, 1.26s/it] 23%|██▎ | 15/66 [00:31<01:01, 1.20s/it] 24%|██▍ | 16/66 [00:32<00:58, 1.16s/it] 26%|██▌ | 17/66 [00:33<00:55, 1.13s/it] 27%|██▋ | 18/66 [00:34<00:53, 1.11s/it] 29%|██▉ | 19/66 [00:35<00:51, 1.10s/it] 30%|███ | 20/66 [00:36<00:50, 1.09s/it] 32%|███▏ | 21/66 [00:37<00:48, 1.08s/it] 33%|███▎ | 22/66 [00:38<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:39<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:40<00:45, 1.07s/it] 38%|███▊ | 25/66 [00:41<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:43<00:42, 1.07s/it] 41%|████ | 27/66 [00:44<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:51<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:52<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:53<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:54<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:55<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:56<00:28, 1.07s/it] 61%|██████ | 40/66 [00:57<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:59<00:27, 1.10s/it] 64%|██████▎ | 42/66 [01:00<00:26, 1.09s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.09s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.08s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:07<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:08<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:11<00:22, 1.50s/it] 79%|███████▉ | 52/66 [01:12<00:19, 1.37s/it] 80%|████████ | 53/66 [01:13<00:16, 1.28s/it] 82%|████████▏ | 54/66 [01:14<00:14, 1.22s/it] 83%|████████▎ | 55/66 [01:15<00:12, 1.17s/it] 85%|████████▍ | 56/66 [01:16<00:11, 1.14s/it] 86%|████████▋ | 57/66 [01:17<00:10, 1.12s/it] 88%|████████▊ | 58/66 [01:18<00:08, 1.10s/it] 89%|████████▉ | 59/66 [01:19<00:07, 1.09s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:23<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:24<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:25<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:26<00:01, 1.07s/it]100%|██████████| 66/66 [01:26<00:00, 1.09it/s]100%|██████████| 66/66 [01:26<00:00, 1.31s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:09, 20.43s/it] 9%|▉ | 2/22 [00:20<02:51, 8.57s/it] 14%|█▎ | 3/22 [00:20<01:30, 4.78s/it] 18%|█▊ | 4/22 [00:21<00:53, 3.00s/it] 23%|██▎ | 5/22 [00:21<00:34, 2.01s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.42s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.04s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.26it/s] 41%|████ | 9/22 [00:31<00:45, 3.46s/it] 45%|████▌ | 10/22 [00:31<00:29, 2.48s/it] 50%|█████ | 11/22 [00:32<00:19, 1.80s/it] 55%|█████▍ | 12/22 [00:32<00:13, 1.33s/it] 59%|█████▉ | 13/22 [00:32<00:09, 1.01s/it] 64%|██████▎ | 14/22 [00:32<00:06, 1.27it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.59it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.92it/s] 77%|███████▋ | 17/22 [00:40<00:12, 2.58s/it] 82%|████████▏ | 18/22 [00:42<00:09, 2.28s/it] 86%|████████▋ | 19/22 [00:42<00:05, 1.68s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.25s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.04it/s]100%|██████████| 22/22 [00:43<00:00, 1.33it/s]100%|██████████| 22/22 [00:43<00:00, 1.98s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.589084750027147 --change-- -0.01420015995284074
Val loss: 0.5863083519718864 --change-- 0.0003597926009785146
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.53387427330017 seconds.
=======================================================================
Epoch 64/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<06:22, 5.89s/it] 3%|▎ | 2/66 [00:06<03:15, 3.05s/it] 5%|▍ | 3/66 [00:08<02:15, 2.15s/it] 6%|▌ | 4/66 [00:10<02:31, 2.44s/it] 8%|▊ | 5/66 [00:11<01:58, 1.94s/it] 9%|▉ | 6/66 [00:13<01:38, 1.64s/it] 11%|█ | 7/66 [00:14<01:25, 1.46s/it] 12%|█▏ | 8/66 [00:15<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:16<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:17<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:18<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:19<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:20<00:58, 1.11s/it] 21%|██ | 14/66 [00:21<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:22<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:23<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:24<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:25<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:26<00:50, 1.07s/it] 30%|███ | 20/66 [00:27<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:29<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:30<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:31<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:32<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:33<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:34<00:42, 1.07s/it] 41%|████ | 27/66 [00:35<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:36<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:37<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:38<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:39<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:40<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<01:08, 2.06s/it] 52%|█████▏ | 34/66 [00:46<00:56, 1.76s/it] 53%|█████▎ | 35/66 [00:47<00:48, 1.55s/it] 55%|█████▍ | 36/66 [00:48<00:42, 1.41s/it] 56%|█████▌ | 37/66 [00:49<00:37, 1.31s/it] 58%|█████▊ | 38/66 [00:50<00:34, 1.23s/it] 59%|█████▉ | 39/66 [00:51<00:31, 1.18s/it] 61%|██████ | 40/66 [00:52<00:29, 1.15s/it] 62%|██████▏ | 41/66 [00:53<00:28, 1.12s/it] 64%|██████▎ | 42/66 [00:54<00:26, 1.11s/it] 65%|██████▌ | 43/66 [00:55<00:25, 1.09s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.09s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.08s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.08s/it] 71%|███████ | 47/66 [01:00<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:14, 1.35s/it] 85%|████████▍ | 56/66 [01:10<00:12, 1.26s/it] 86%|████████▋ | 57/66 [01:11<00:10, 1.20s/it] 88%|████████▊ | 58/66 [01:12<00:09, 1.16s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.13s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.11s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.10s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.09s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.08s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:42, 19.19s/it] 9%|▉ | 2/22 [00:19<02:41, 8.06s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.50s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.83s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.90s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.35s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:31<00:51, 3.94s/it] 45%|████▌ | 10/22 [00:32<00:33, 2.80s/it] 50%|█████ | 11/22 [00:33<00:26, 2.43s/it] 55%|█████▍ | 12/22 [00:34<00:17, 1.77s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.32s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.00it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.29it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.60it/s] 77%|███████▋ | 17/22 [00:43<00:14, 2.85s/it] 82%|████████▏ | 18/22 [00:44<00:08, 2.25s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.82s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.35s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.03s/it]100%|██████████| 22/22 [00:45<00:00, 1.25it/s]100%|██████████| 22/22 [00:45<00:00, 2.07s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5983012759958515 --change-- 0.009216525968704481
Val loss: 0.5867100168358196 --change-- 0.00040166486393322653
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.6931779384613 seconds.
=======================================================================
Epoch 65/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<16:08, 14.90s/it] 3%|▎ | 2/66 [00:15<07:12, 6.76s/it] 5%|▍ | 3/66 [00:17<04:22, 4.16s/it] 6%|▌ | 4/66 [00:18<03:02, 2.94s/it] 8%|▊ | 5/66 [00:19<02:18, 2.26s/it] 9%|▉ | 6/66 [00:20<01:51, 1.86s/it] 11%|█ | 7/66 [00:21<01:34, 1.60s/it] 12%|█▏ | 8/66 [00:22<01:22, 1.43s/it] 14%|█▎ | 9/66 [00:23<01:15, 1.32s/it] 15%|█▌ | 10/66 [00:24<01:09, 1.24s/it] 17%|█▋ | 11/66 [00:25<01:05, 1.19s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.15s/it] 20%|█▉ | 13/66 [00:27<00:59, 1.12s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:33<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:34<00:50, 1.07s/it] 30%|███ | 20/66 [00:35<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:25, 1.12s/it] 67%|██████▋ | 44/66 [01:00<00:24, 1.11s/it] 68%|██████▊ | 45/66 [01:02<00:22, 1.09s/it] 70%|██████▉ | 46/66 [01:03<00:21, 1.09s/it] 71%|███████ | 47/66 [01:04<00:20, 1.08s/it] 73%|███████▎ | 48/66 [01:05<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:06<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:15<00:16, 1.67s/it] 86%|████████▋ | 57/66 [01:16<00:13, 1.49s/it] 88%|████████▊ | 58/66 [01:17<00:10, 1.36s/it] 89%|████████▉ | 59/66 [01:19<00:08, 1.27s/it] 91%|█████████ | 60/66 [01:20<00:07, 1.21s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.17s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.14s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.12s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.10s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.09s/it]100%|██████████| 66/66 [01:25<00:00, 1.07it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:36, 21.76s/it] 9%|▉ | 2/22 [00:22<03:02, 9.12s/it] 14%|█▎ | 3/22 [00:22<01:36, 5.07s/it] 18%|█▊ | 4/22 [00:22<00:57, 3.18s/it] 23%|██▎ | 5/22 [00:22<00:36, 2.13s/it] 27%|██▋ | 6/22 [00:23<00:23, 1.49s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.09s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.21it/s] 41%|████ | 9/22 [00:34<00:52, 4.03s/it] 45%|████▌ | 10/22 [00:34<00:34, 2.87s/it] 50%|█████ | 11/22 [00:35<00:22, 2.07s/it] 55%|█████▍ | 12/22 [00:35<00:15, 1.52s/it] 59%|█████▉ | 13/22 [00:35<00:10, 1.14s/it] 64%|██████▎ | 14/22 [00:36<00:07, 1.14it/s] 68%|██████▊ | 15/22 [00:37<00:07, 1.02s/it] 73%|███████▎ | 16/22 [00:39<00:07, 1.22s/it] 77%|███████▋ | 17/22 [00:46<00:15, 3.16s/it] 82%|████████▏ | 18/22 [00:47<00:10, 2.59s/it] 86%|████████▋ | 19/22 [00:48<00:05, 1.89s/it] 91%|█████████ | 20/22 [00:48<00:02, 1.40s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.06s/it]100%|██████████| 22/22 [00:49<00:00, 1.22it/s]100%|██████████| 22/22 [00:49<00:00, 2.23s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5928954143105573 --change-- -0.005405861685294222
Val loss: 0.5903901918367906 --change-- 0.0036801750009710643
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 137.22269940376282 seconds.
=======================================================================
Epoch 66/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:16<18:08, 16.75s/it] 3%|▎ | 2/66 [00:17<08:01, 7.53s/it] 5%|▍ | 3/66 [00:18<04:48, 4.58s/it] 6%|▌ | 4/66 [00:19<03:17, 3.19s/it] 8%|▊ | 5/66 [00:21<02:28, 2.43s/it] 9%|▉ | 6/66 [00:22<01:57, 1.96s/it] 11%|█ | 7/66 [00:23<01:38, 1.67s/it] 12%|█▏ | 8/66 [00:24<01:25, 1.48s/it] 14%|█▎ | 9/66 [00:25<01:16, 1.35s/it] 15%|█▌ | 10/66 [00:26<01:10, 1.26s/it] 17%|█▋ | 11/66 [00:27<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:28<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:29<01:00, 1.13s/it] 21%|██ | 14/66 [00:30<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:31<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:32<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:33<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:34<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:35<00:50, 1.08s/it] 30%|███ | 20/66 [00:37<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:38<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:39<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:40<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:41<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:42<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:43<00:42, 1.07s/it] 41%|████ | 27/66 [00:44<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:45<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:46<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:47<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:48<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:49<00:36, 1.07s/it] 50%|█████ | 33/66 [00:50<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:51<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:55<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:56<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:57<00:28, 1.07s/it] 61%|██████ | 40/66 [00:58<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:59<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:00<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:01<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:02<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:04<00:21, 1.07s/it] 71%|███████ | 47/66 [01:05<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:06<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:19, 1.21s/it] 77%|███████▋ | 51/66 [01:10<00:17, 1.16s/it] 79%|███████▉ | 52/66 [01:11<00:15, 1.14s/it] 80%|████████ | 53/66 [01:12<00:14, 1.11s/it] 82%|████████▏ | 54/66 [01:13<00:13, 1.10s/it] 83%|████████▎ | 55/66 [01:14<00:12, 1.09s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.08s/it] 86%|████████▋ | 57/66 [01:17<00:09, 1.08s/it] 88%|████████▊ | 58/66 [01:18<00:10, 1.26s/it] 89%|████████▉ | 59/66 [01:19<00:08, 1.20s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.16s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.13s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.11s/it] 95%|█████████▌| 63/66 [01:24<00:03, 1.10s/it] 97%|█████████▋| 64/66 [01:25<00:02, 1.09s/it] 98%|█████████▊| 65/66 [01:26<00:01, 1.08s/it]100%|██████████| 66/66 [01:26<00:00, 1.08it/s]100%|██████████| 66/66 [01:26<00:00, 1.31s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:51, 19.59s/it] 9%|▉ | 2/22 [00:19<02:44, 8.22s/it] 14%|█▎ | 3/22 [00:20<01:27, 4.59s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.88s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.94s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.37s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.01s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.29it/s] 41%|████ | 9/22 [00:35<01:05, 5.04s/it] 45%|████▌ | 10/22 [00:36<00:43, 3.61s/it] 50%|█████ | 11/22 [00:36<00:28, 2.59s/it] 55%|█████▍ | 12/22 [00:36<00:18, 1.88s/it] 59%|█████▉ | 13/22 [00:37<00:12, 1.39s/it] 64%|██████▎ | 14/22 [00:37<00:08, 1.05s/it] 68%|██████▊ | 15/22 [00:37<00:05, 1.23it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.54it/s] 77%|███████▋ | 17/22 [00:48<00:18, 3.67s/it] 82%|████████▏ | 18/22 [00:48<00:10, 2.65s/it] 86%|████████▋ | 19/22 [00:49<00:05, 1.93s/it] 91%|█████████ | 20/22 [00:49<00:02, 1.43s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.08s/it]100%|██████████| 22/22 [00:49<00:00, 1.20it/s]100%|██████████| 22/22 [00:49<00:00, 2.27s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5981939148356896 --change-- 0.005298500525132366
Val loss: 0.5997015982866287 --change-- 0.009311406449838078
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 138.85717844963074 seconds.
=======================================================================
Epoch 67/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:14<15:24, 14.22s/it] 3%|▎ | 2/66 [00:15<06:54, 6.48s/it] 5%|▍ | 3/66 [00:16<04:12, 4.01s/it] 6%|▌ | 4/66 [00:17<02:56, 2.85s/it] 8%|▊ | 5/66 [00:18<02:14, 2.21s/it] 9%|▉ | 6/66 [00:19<01:49, 1.82s/it] 11%|█ | 7/66 [00:20<01:32, 1.57s/it] 12%|█▏ | 8/66 [00:21<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:23<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:24<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:25<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:27<00:59, 1.12s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:35<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:39<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:00<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:01<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:14<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:15<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:23<00:00, 1.09it/s]100%|██████████| 66/66 [01:23<00:00, 1.26s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:40, 19.08s/it] 9%|▉ | 2/22 [00:19<02:40, 8.01s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.48s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.81s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.90s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.34s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:33<00:56, 4.36s/it] 45%|████▌ | 10/22 [00:33<00:37, 3.10s/it] 50%|█████ | 11/22 [00:34<00:25, 2.32s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.69s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.26s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.04it/s] 68%|██████▊ | 15/22 [00:36<00:08, 1.19s/it] 73%|███████▎ | 16/22 [00:36<00:05, 1.10it/s] 77%|███████▋ | 17/22 [00:49<00:22, 4.41s/it] 82%|████████▏ | 18/22 [00:49<00:12, 3.17s/it] 86%|████████▋ | 19/22 [00:49<00:06, 2.29s/it] 91%|█████████ | 20/22 [00:50<00:03, 1.69s/it] 95%|█████████▌| 21/22 [00:50<00:01, 1.26s/it]100%|██████████| 22/22 [00:50<00:00, 1.04it/s]100%|██████████| 22/22 [00:50<00:00, 2.30s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5935004678846315 --change-- -0.004693446951058111
Val loss: 0.594466199929064 --change-- -0.005235398357564702
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.05027770996094 seconds.
=======================================================================
Epoch 68/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:34, 8.84s/it] 3%|▎ | 2/66 [00:11<05:32, 5.20s/it] 5%|▍ | 3/66 [00:12<03:28, 3.31s/it] 6%|▌ | 4/66 [00:13<02:30, 2.43s/it] 8%|▊ | 5/66 [00:14<01:58, 1.94s/it] 9%|▉ | 6/66 [00:15<01:38, 1.64s/it] 11%|█ | 7/66 [00:16<01:25, 1.45s/it] 12%|█▏ | 8/66 [00:17<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:18<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:45, 1.11s/it] 39%|███▉ | 26/66 [00:37<00:43, 1.10s/it] 41%|████ | 27/66 [00:38<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:39<00:41, 1.08s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.08s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<01:00, 1.83s/it] 52%|█████▏ | 34/66 [00:48<00:51, 1.60s/it] 53%|█████▎ | 35/66 [00:49<00:44, 1.44s/it] 55%|█████▍ | 36/66 [00:50<00:39, 1.33s/it] 56%|█████▌ | 37/66 [00:51<00:36, 1.25s/it] 58%|█████▊ | 38/66 [00:52<00:33, 1.20s/it] 59%|█████▉ | 39/66 [00:53<00:31, 1.16s/it] 61%|██████ | 40/66 [00:54<00:29, 1.13s/it] 62%|██████▏ | 41/66 [00:55<00:27, 1.11s/it] 64%|██████▎ | 42/66 [00:56<00:26, 1.10s/it] 65%|██████▌ | 43/66 [00:57<00:25, 1.09s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.08s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.08s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:23<08:04, 23.09s/it] 9%|▉ | 2/22 [00:23<03:13, 9.66s/it] 14%|█▎ | 3/22 [00:23<01:42, 5.37s/it] 18%|█▊ | 4/22 [00:23<01:00, 3.36s/it] 23%|██▎ | 5/22 [00:24<00:38, 2.24s/it] 27%|██▋ | 6/22 [00:24<00:25, 1.57s/it] 32%|███▏ | 7/22 [00:24<00:17, 1.14s/it] 36%|███▋ | 8/22 [00:24<00:12, 1.16it/s] 41%|████ | 9/22 [00:34<00:47, 3.66s/it] 45%|████▌ | 10/22 [00:35<00:31, 2.61s/it] 50%|█████ | 11/22 [00:35<00:20, 1.90s/it] 55%|█████▍ | 12/22 [00:35<00:13, 1.40s/it] 59%|█████▉ | 13/22 [00:35<00:09, 1.06s/it] 64%|██████▎ | 14/22 [00:36<00:06, 1.22it/s] 68%|██████▊ | 15/22 [00:36<00:04, 1.54it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.87it/s] 77%|███████▋ | 17/22 [00:46<00:16, 3.40s/it] 82%|████████▏ | 18/22 [00:46<00:09, 2.46s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.80s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.34s/it] 95%|█████████▌| 21/22 [00:47<00:01, 1.02s/it]100%|██████████| 22/22 [00:48<00:00, 1.26it/s]100%|██████████| 22/22 [00:48<00:00, 2.18s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5991131219700092 --change-- 0.0056126540853777
Val loss: 0.595214614813978 --change-- 0.0007484148849139505
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.05190682411194 seconds.
=======================================================================
Epoch 69/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:05<06:18, 5.82s/it] 3%|▎ | 2/66 [00:06<03:13, 3.03s/it] 5%|▍ | 3/66 [00:15<05:44, 5.46s/it] 6%|▌ | 4/66 [00:16<03:51, 3.73s/it] 8%|▊ | 5/66 [00:17<02:48, 2.77s/it] 9%|▉ | 6/66 [00:18<02:11, 2.19s/it] 11%|█ | 7/66 [00:19<01:47, 1.82s/it] 12%|█▏ | 8/66 [00:20<01:31, 1.58s/it] 14%|█▎ | 9/66 [00:21<01:21, 1.42s/it] 15%|█▌ | 10/66 [00:22<01:13, 1.31s/it] 17%|█▋ | 11/66 [00:23<01:08, 1.24s/it] 18%|█▊ | 12/66 [00:24<01:03, 1.19s/it] 20%|█▉ | 13/66 [00:25<01:00, 1.15s/it] 21%|██ | 14/66 [00:26<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:28<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:29<00:54, 1.10s/it] 26%|██▌ | 17/66 [00:30<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:31<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:32<00:50, 1.08s/it] 30%|███ | 20/66 [00:33<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:36<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:37<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:51<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:00, 17.19s/it] 9%|▉ | 2/22 [00:17<02:24, 7.23s/it] 14%|█▎ | 3/22 [00:18<01:20, 4.21s/it] 18%|█▊ | 4/22 [00:18<00:47, 2.66s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.79s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.27s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.06it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.37it/s] 41%|████ | 9/22 [00:34<01:09, 5.31s/it] 45%|████▌ | 10/22 [00:35<00:47, 3.93s/it] 50%|█████ | 11/22 [00:36<00:32, 2.99s/it] 55%|█████▍ | 12/22 [00:36<00:21, 2.16s/it] 59%|█████▉ | 13/22 [00:37<00:14, 1.59s/it] 64%|██████▎ | 14/22 [00:37<00:09, 1.19s/it] 68%|██████▊ | 15/22 [00:37<00:06, 1.10it/s] 73%|███████▎ | 16/22 [00:37<00:04, 1.40it/s] 77%|███████▋ | 17/22 [00:46<00:15, 3.17s/it] 82%|████████▏ | 18/22 [00:47<00:09, 2.35s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.77s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.32s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.00s/it]100%|██████████| 22/22 [00:48<00:00, 1.28it/s]100%|██████████| 22/22 [00:48<00:00, 2.20s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6165555547211916 --change-- 0.017442432751182402
Val loss: 0.6182989281686869 --change-- 0.023084313354708952
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.60492157936096 seconds.
=======================================================================
Epoch 70/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:39, 10.76s/it] 3%|▎ | 2/66 [00:11<05:23, 5.06s/it] 5%|▍ | 3/66 [00:12<03:23, 3.24s/it] 6%|▌ | 4/66 [00:13<02:27, 2.38s/it] 8%|▊ | 5/66 [00:15<01:56, 1.91s/it] 9%|▉ | 6/66 [00:16<01:37, 1.62s/it] 11%|█ | 7/66 [00:17<01:25, 1.44s/it] 12%|█▏ | 8/66 [00:18<01:16, 1.32s/it] 14%|█▎ | 9/66 [00:21<01:57, 2.06s/it] 15%|█▌ | 10/66 [00:22<01:38, 1.76s/it] 17%|█▋ | 11/66 [00:24<01:24, 1.54s/it] 18%|█▊ | 12/66 [00:25<01:15, 1.40s/it] 20%|█▉ | 13/66 [00:26<01:08, 1.30s/it] 21%|██ | 14/66 [00:27<01:03, 1.23s/it] 23%|██▎ | 15/66 [00:28<01:00, 1.18s/it] 24%|██▍ | 16/66 [00:29<00:57, 1.15s/it] 26%|██▌ | 17/66 [00:34<01:55, 2.35s/it] 27%|██▋ | 18/66 [00:35<01:34, 1.97s/it] 29%|██▉ | 19/66 [00:36<01:19, 1.70s/it] 30%|███ | 20/66 [00:37<01:09, 1.51s/it] 32%|███▏ | 21/66 [00:38<01:01, 1.38s/it] 33%|███▎ | 22/66 [00:39<00:56, 1.28s/it] 35%|███▍ | 23/66 [00:40<00:52, 1.22s/it] 36%|███▋ | 24/66 [00:42<00:49, 1.17s/it] 38%|███▊ | 25/66 [00:43<00:46, 1.14s/it] 39%|███▉ | 26/66 [00:44<00:44, 1.12s/it] 41%|████ | 27/66 [00:45<00:43, 1.10s/it] 42%|████▏ | 28/66 [00:46<00:41, 1.09s/it] 44%|████▍ | 29/66 [00:47<00:40, 1.09s/it] 45%|████▌ | 30/66 [00:48<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:49<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:50<00:36, 1.07s/it] 50%|█████ | 33/66 [00:51<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:55<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:56<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:58<00:28, 1.07s/it] 61%|██████ | 40/66 [00:59<00:27, 1.07s/it] 62%|██████▏ | 41/66 [01:00<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:01<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:02<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:03<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:04<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:05<00:21, 1.07s/it] 71%|███████ | 47/66 [01:06<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:07<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:10<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:11<00:14, 1.07s/it] 80%|████████ | 53/66 [01:13<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:14<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:15<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:16<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:17<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:18<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:19<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:26<00:00, 1.09it/s]100%|██████████| 66/66 [01:26<00:00, 1.31s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:46, 19.35s/it] 9%|▉ | 2/22 [00:19<02:42, 8.12s/it] 14%|█▎ | 3/22 [00:19<01:26, 4.54s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.85s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.92s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.36s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.30it/s] 41%|████ | 9/22 [00:32<00:53, 4.10s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.91s/it] 50%|█████ | 11/22 [00:33<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:33<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:46<00:20, 4.09s/it] 82%|████████▏ | 18/22 [00:47<00:12, 3.00s/it] 86%|████████▋ | 19/22 [00:47<00:06, 2.18s/it] 91%|█████████ | 20/22 [00:47<00:03, 1.61s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.20s/it]100%|██████████| 22/22 [00:48<00:00, 1.08it/s]100%|██████████| 22/22 [00:48<00:00, 2.20s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5988806467929869 --change-- -0.017674907928204697
Val loss: 0.5870964364572004 --change-- -0.03120249171148648
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 136.83178043365479 seconds.
=======================================================================
Epoch 71/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:50, 10.94s/it] 3%|▎ | 2/66 [00:12<05:28, 5.13s/it] 5%|▍ | 3/66 [00:13<03:26, 3.28s/it] 6%|▌ | 4/66 [00:14<02:29, 2.40s/it] 8%|▊ | 5/66 [00:15<01:57, 1.92s/it] 9%|▉ | 6/66 [00:16<01:37, 1.63s/it] 11%|█ | 7/66 [00:17<01:25, 1.45s/it] 12%|█▏ | 8/66 [00:18<01:16, 1.33s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:39<02:43, 3.55s/it] 32%|███▏ | 21/66 [00:40<02:06, 2.80s/it] 33%|███▎ | 22/66 [00:41<01:40, 2.28s/it] 35%|███▍ | 23/66 [00:42<01:22, 1.92s/it] 36%|███▋ | 24/66 [00:43<01:09, 1.66s/it] 38%|███▊ | 25/66 [00:44<01:00, 1.49s/it] 39%|███▉ | 26/66 [00:45<00:54, 1.36s/it] 41%|████ | 27/66 [00:46<00:49, 1.27s/it] 42%|████▏ | 28/66 [00:48<00:47, 1.26s/it] 44%|████▍ | 29/66 [00:49<00:44, 1.20s/it] 45%|████▌ | 30/66 [00:50<00:41, 1.16s/it] 47%|████▋ | 31/66 [00:51<00:39, 1.13s/it] 48%|████▊ | 32/66 [00:52<00:37, 1.11s/it] 50%|█████ | 33/66 [00:53<00:36, 1.10s/it] 52%|█████▏ | 34/66 [00:54<00:34, 1.09s/it] 53%|█████▎ | 35/66 [00:55<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:56<00:32, 1.08s/it] 56%|█████▌ | 37/66 [00:57<00:31, 1.08s/it] 58%|█████▊ | 38/66 [00:58<00:30, 1.07s/it] 59%|█████▉ | 39/66 [01:00<00:30, 1.11s/it] 61%|██████ | 40/66 [01:01<00:28, 1.10s/it] 62%|██████▏ | 41/66 [01:02<00:27, 1.09s/it] 64%|██████▎ | 42/66 [01:03<00:25, 1.08s/it] 65%|██████▌ | 43/66 [01:04<00:24, 1.08s/it] 67%|██████▋ | 44/66 [01:05<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:06<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:07<00:21, 1.07s/it] 71%|███████ | 47/66 [01:08<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:09<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:10<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:11<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:12<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:13<00:14, 1.07s/it] 80%|████████ | 53/66 [01:15<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:16<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:17<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:18<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:19<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:20<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:21<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:22<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:23<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:24<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:25<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:26<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:27<00:01, 1.07s/it]100%|██████████| 66/66 [01:28<00:00, 1.10it/s]100%|██████████| 66/66 [01:28<00:00, 1.34s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:37, 18.94s/it] 9%|▉ | 2/22 [00:19<02:39, 7.96s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.45s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.80s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.88s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.33s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.02it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:32<00:53, 4.09s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.91s/it] 50%|█████ | 11/22 [00:33<00:24, 2.19s/it] 55%|█████▍ | 12/22 [00:33<00:16, 1.61s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.20s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.09it/s] 68%|██████▊ | 15/22 [00:34<00:05, 1.39it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.71it/s] 77%|███████▋ | 17/22 [00:43<00:16, 3.22s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.38s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.74s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.01it/s]100%|██████████| 22/22 [00:45<00:00, 1.30it/s]100%|██████████| 22/22 [00:45<00:00, 2.06s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5932773028621237 --change-- -0.005603343930863258
Val loss: 0.5852021940729835 --change-- -0.001894242384216982
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.81321597099304 seconds.
=======================================================================
Epoch 72/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:11<11:59, 11.06s/it] 3%|▎ | 2/66 [00:16<08:04, 7.58s/it] 5%|▍ | 3/66 [00:17<04:50, 4.60s/it] 6%|▌ | 4/66 [00:18<03:18, 3.21s/it] 8%|▊ | 5/66 [00:19<02:28, 2.44s/it] 9%|▉ | 6/66 [00:20<01:58, 1.97s/it] 11%|█ | 7/66 [00:21<01:38, 1.68s/it] 12%|█▏ | 8/66 [00:22<01:25, 1.48s/it] 14%|█▎ | 9/66 [00:23<01:17, 1.35s/it] 15%|█▌ | 10/66 [00:24<01:10, 1.27s/it] 17%|█▋ | 11/66 [00:25<01:06, 1.20s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:27<01:00, 1.13s/it] 21%|██ | 14/66 [00:29<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:30<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:31<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:32<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:33<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:34<00:50, 1.08s/it] 30%|███ | 20/66 [00:35<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:45<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:46<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:47<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:48<00:36, 1.07s/it] 50%|█████ | 33/66 [00:49<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:50<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:51<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:01<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:03<00:30, 1.45s/it] 70%|██████▉ | 46/66 [01:04<00:26, 1.33s/it] 71%|███████ | 47/66 [01:05<00:23, 1.25s/it] 73%|███████▎ | 48/66 [01:06<00:21, 1.20s/it] 74%|███████▍ | 49/66 [01:07<00:19, 1.16s/it] 76%|███████▌ | 50/66 [01:08<00:18, 1.13s/it] 77%|███████▋ | 51/66 [01:09<00:16, 1.11s/it] 79%|███████▉ | 52/66 [01:10<00:15, 1.10s/it] 80%|████████ | 53/66 [01:12<00:15, 1.21s/it] 82%|████████▏ | 54/66 [01:13<00:14, 1.17s/it] 83%|████████▎ | 55/66 [01:14<00:12, 1.14s/it] 85%|████████▍ | 56/66 [01:15<00:11, 1.12s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.10s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.09s/it] 89%|████████▉ | 59/66 [01:18<00:07, 1.08s/it] 91%|█████████ | 60/66 [01:19<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:20<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:21<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:30, 18.60s/it] 9%|▉ | 2/22 [00:18<02:36, 7.82s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.37s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.75s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.85s/it] 27%|██▋ | 6/22 [00:19<00:21, 1.31s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:31<00:52, 4.07s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.89s/it] 50%|█████ | 11/22 [00:32<00:22, 2.09s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:42<00:15, 3.15s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.29s/it] 86%|████████▋ | 19/22 [00:43<00:05, 1.68s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.25s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.04it/s]100%|██████████| 22/22 [00:44<00:00, 1.33it/s]100%|██████████| 22/22 [00:44<00:00, 2.01s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5996936568777069 --change-- 0.00641635401558327
Val loss: 0.5868352191014723 --change-- 0.0016330250284888326
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.21050262451172 seconds.
=======================================================================
Epoch 73/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:54, 11.00s/it] 3%|▎ | 2/66 [00:12<05:30, 5.16s/it] 5%|▍ | 3/66 [00:13<03:27, 3.29s/it] 6%|▌ | 4/66 [00:14<02:29, 2.41s/it] 8%|▊ | 5/66 [00:15<01:57, 1.93s/it] 9%|▉ | 6/66 [00:16<01:38, 1.64s/it] 11%|█ | 7/66 [00:17<01:25, 1.45s/it] 12%|█▏ | 8/66 [00:18<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:19<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:20<01:06, 1.19s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:22<01:00, 1.13s/it] 20%|█▉ | 13/66 [00:23<00:58, 1.11s/it] 21%|██ | 14/66 [00:24<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.10s/it] 71%|███████ | 47/66 [01:00<00:20, 1.09s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.08s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.08s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.08s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:15, 1.13s/it] 80%|████████ | 53/66 [01:06<00:14, 1.11s/it] 82%|████████▏ | 54/66 [01:07<00:13, 1.10s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.09s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.08s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.08s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.21s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:11, 20.54s/it] 9%|▉ | 2/22 [00:20<02:52, 8.62s/it] 14%|█▎ | 3/22 [00:21<01:31, 4.80s/it] 18%|█▊ | 4/22 [00:21<00:54, 3.01s/it] 23%|██▎ | 5/22 [00:21<00:34, 2.02s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.42s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.05s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.25it/s] 41%|████ | 9/22 [00:34<00:54, 4.22s/it] 45%|████▌ | 10/22 [00:34<00:36, 3.00s/it] 50%|█████ | 11/22 [00:34<00:23, 2.16s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.59s/it] 59%|█████▉ | 13/22 [00:35<00:10, 1.19s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.40it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.73it/s] 77%|███████▋ | 17/22 [00:45<00:15, 3.18s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.30s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:46<00:00, 1.04it/s]100%|██████████| 22/22 [00:46<00:00, 1.33it/s]100%|██████████| 22/22 [00:46<00:00, 2.12s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5982523592373797 --change-- -0.0014412976403271882
Val loss: 0.5869613113728437 --change-- 0.0001260922713713919
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.880863904953 seconds.
=======================================================================
Epoch 74/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:52, 8.19s/it] 3%|▎ | 2/66 [00:09<04:15, 4.00s/it] 5%|▍ | 3/66 [00:10<02:54, 2.77s/it] 6%|▌ | 4/66 [00:11<02:10, 2.10s/it] 8%|▊ | 5/66 [00:12<01:45, 1.73s/it] 9%|▉ | 6/66 [00:13<01:30, 1.50s/it] 11%|█ | 7/66 [00:14<01:20, 1.36s/it] 12%|█▏ | 8/66 [00:15<01:13, 1.27s/it] 14%|█▎ | 9/66 [00:17<01:09, 1.23s/it] 15%|█▌ | 10/66 [00:18<01:05, 1.18s/it] 17%|█▋ | 11/66 [00:19<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:20<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:21<00:58, 1.10s/it] 21%|██ | 14/66 [00:22<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:23<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:24<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:25<00:53, 1.10s/it] 27%|██▋ | 18/66 [00:26<00:52, 1.09s/it] 29%|██▉ | 19/66 [00:27<00:50, 1.08s/it] 30%|███ | 20/66 [00:28<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:30<00:53, 1.20s/it] 33%|███▎ | 22/66 [00:31<00:50, 1.16s/it] 35%|███▍ | 23/66 [00:32<00:48, 1.13s/it] 36%|███▋ | 24/66 [00:33<00:46, 1.11s/it] 38%|███▊ | 25/66 [00:34<00:45, 1.10s/it] 39%|███▉ | 26/66 [00:35<00:43, 1.09s/it] 41%|████ | 27/66 [00:36<00:42, 1.09s/it] 42%|████▏ | 28/66 [00:37<00:41, 1.08s/it] 44%|████▍ | 29/66 [00:38<00:39, 1.08s/it] 45%|████▌ | 30/66 [00:39<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:42<00:36, 1.07s/it] 50%|█████ | 33/66 [00:43<00:36, 1.11s/it] 52%|█████▏ | 34/66 [00:44<00:35, 1.10s/it] 53%|█████▎ | 35/66 [00:45<00:33, 1.09s/it] 55%|█████▍ | 36/66 [00:46<00:32, 1.08s/it] 56%|█████▌ | 37/66 [00:47<00:31, 1.09s/it] 58%|█████▊ | 38/66 [00:48<00:30, 1.08s/it] 59%|█████▉ | 39/66 [00:49<00:29, 1.08s/it] 61%|██████ | 40/66 [00:50<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:51<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:52<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:53<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:57<00:21, 1.07s/it] 71%|███████ | 47/66 [00:58<00:20, 1.07s/it] 73%|███████▎ | 48/66 [00:59<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:00<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:01<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:02<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:03<00:14, 1.07s/it] 80%|████████ | 53/66 [01:04<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:05<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:06<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:07<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:08<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:10<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:11<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:12<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:13<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:14<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:15<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:16<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:17<00:01, 1.07s/it]100%|██████████| 66/66 [01:18<00:00, 1.09it/s]100%|██████████| 66/66 [01:18<00:00, 1.18s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:32, 18.69s/it] 9%|▉ | 2/22 [00:18<02:37, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.39s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.33it/s] 41%|████ | 9/22 [00:31<00:52, 4.04s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.87s/it] 50%|█████ | 11/22 [00:32<00:22, 2.08s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.52s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.14s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.14it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.44it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.77it/s] 77%|███████▋ | 17/22 [00:42<00:15, 3.11s/it] 82%|████████▏ | 18/22 [00:42<00:09, 2.25s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.66s/it] 91%|█████████ | 20/22 [00:43<00:02, 1.24s/it] 95%|█████████▌| 21/22 [00:43<00:00, 1.06it/s]100%|██████████| 22/22 [00:44<00:00, 1.35it/s]100%|██████████| 22/22 [00:44<00:00, 2.00s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5943390731593124 --change-- -0.003913286078067291
Val loss: 0.5882213413715363 --change-- 0.001260029998692569
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 124.5232675075531 seconds.
=======================================================================
Epoch 75/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:02, 10.19s/it] 3%|▎ | 2/66 [00:13<06:28, 6.07s/it] 5%|▍ | 3/66 [00:14<03:58, 3.79s/it] 6%|▌ | 4/66 [00:15<02:48, 2.71s/it] 8%|▊ | 5/66 [00:16<02:09, 2.12s/it] 9%|▉ | 6/66 [00:17<01:45, 1.76s/it] 11%|█ | 7/66 [00:18<01:30, 1.54s/it] 12%|█▏ | 8/66 [00:19<01:20, 1.39s/it] 14%|█▎ | 9/66 [00:20<01:13, 1.29s/it] 15%|█▌ | 10/66 [00:21<01:08, 1.22s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:24<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:25<00:59, 1.12s/it] 21%|██ | 14/66 [00:26<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:27<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:28<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:29<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:30<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:31<00:50, 1.07s/it] 30%|███ | 20/66 [00:32<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:33<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.23s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:59, 19.96s/it] 9%|▉ | 2/22 [00:20<02:47, 8.38s/it] 14%|█▎ | 3/22 [00:20<01:28, 4.67s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.93s/it] 23%|██▎ | 5/22 [00:21<00:33, 1.97s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.39s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.02s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.28it/s] 41%|████ | 9/22 [00:34<00:58, 4.48s/it] 45%|████▌ | 10/22 [00:34<00:38, 3.18s/it] 50%|█████ | 11/22 [00:34<00:25, 2.29s/it] 55%|█████▍ | 12/22 [00:35<00:16, 1.67s/it] 59%|█████▉ | 13/22 [00:35<00:11, 1.25s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.05it/s] 68%|██████▊ | 15/22 [00:36<00:05, 1.34it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.67it/s] 77%|███████▋ | 17/22 [00:46<00:18, 3.60s/it] 82%|████████▏ | 18/22 [00:47<00:10, 2.60s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.90s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.41s/it] 95%|█████████▌| 21/22 [00:47<00:01, 1.07s/it]100%|██████████| 22/22 [00:48<00:00, 1.21it/s]100%|██████████| 22/22 [00:48<00:00, 2.19s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5944919194883973 --change-- 0.00015284632908485474
Val loss: 0.5894405814734373 --change-- 0.001219240101900998
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.97552824020386 seconds.
=======================================================================
Epoch 76/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:13<15:04, 13.91s/it] 3%|▎ | 2/66 [00:14<06:46, 6.36s/it] 5%|▍ | 3/66 [00:16<04:08, 3.94s/it] 6%|▌ | 4/66 [00:17<02:54, 2.81s/it] 8%|▊ | 5/66 [00:18<02:13, 2.18s/it] 9%|▉ | 6/66 [00:19<01:48, 1.80s/it] 11%|█ | 7/66 [00:20<01:32, 1.56s/it] 12%|█▏ | 8/66 [00:21<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:23<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:24<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:25<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:26<00:59, 1.12s/it] 21%|██ | 14/66 [00:27<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:28<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:29<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:35<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:39<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.10it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:11, 20.56s/it] 9%|▉ | 2/22 [00:20<02:52, 8.62s/it] 14%|█▎ | 3/22 [00:21<01:31, 4.81s/it] 18%|█▊ | 4/22 [00:21<00:54, 3.01s/it] 23%|██▎ | 5/22 [00:21<00:34, 2.02s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.43s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.05s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.25it/s] 41%|████ | 9/22 [00:33<00:51, 3.93s/it] 45%|████▌ | 10/22 [00:33<00:33, 2.80s/it] 50%|█████ | 11/22 [00:34<00:23, 2.12s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.56s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.17s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.12it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.42it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:48<00:21, 4.39s/it] 82%|████████▏ | 18/22 [00:49<00:12, 3.20s/it] 86%|████████▋ | 19/22 [00:49<00:06, 2.32s/it] 91%|█████████ | 20/22 [00:49<00:03, 1.70s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.27s/it]100%|██████████| 22/22 [00:50<00:00, 1.03it/s]100%|██████████| 22/22 [00:50<00:00, 2.28s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5997854675955445 --change-- 0.005293548107147217
Val loss: 0.5891239737922495 --change-- -0.00031660768118779714
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.2119014263153 seconds.
=======================================================================
Epoch 77/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:12<13:36, 12.56s/it] 3%|▎ | 2/66 [00:14<06:52, 6.44s/it] 5%|▍ | 3/66 [00:15<04:11, 3.99s/it] 6%|▌ | 4/66 [00:16<02:55, 2.83s/it] 8%|▊ | 5/66 [00:17<02:14, 2.20s/it] 9%|▉ | 6/66 [00:18<01:48, 1.81s/it] 11%|█ | 7/66 [00:20<01:32, 1.57s/it] 12%|█▏ | 8/66 [00:21<01:21, 1.41s/it] 14%|█▎ | 9/66 [00:22<01:14, 1.30s/it] 15%|█▌ | 10/66 [00:23<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:24<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:25<01:01, 1.15s/it] 20%|█▉ | 13/66 [00:26<00:59, 1.12s/it] 21%|██ | 14/66 [00:27<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:28<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:29<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:30<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:31<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:32<00:50, 1.07s/it] 30%|███ | 20/66 [00:33<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:36<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:37<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:38<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:39<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:40<00:42, 1.07s/it] 41%|████ | 27/66 [00:41<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:42<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:43<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:44<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:51<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:53<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:54<00:28, 1.07s/it] 61%|██████ | 40/66 [00:55<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:56<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:57<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:58<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:07<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:08<00:14, 1.07s/it] 80%|████████ | 53/66 [01:09<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:11<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:12<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:13<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:09, 17.60s/it] 9%|▉ | 2/22 [00:17<02:28, 7.40s/it] 14%|█▎ | 3/22 [00:18<01:18, 4.14s/it] 18%|█▊ | 4/22 [00:18<00:47, 2.61s/it] 23%|██▎ | 5/22 [00:18<00:30, 1.77s/it] 27%|██▋ | 6/22 [00:18<00:20, 1.26s/it] 32%|███▏ | 7/22 [00:19<00:13, 1.07it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.39it/s] 41%|████ | 9/22 [00:34<01:07, 5.21s/it] 45%|████▌ | 10/22 [00:35<00:47, 4.00s/it] 50%|█████ | 11/22 [00:36<00:31, 2.85s/it] 55%|█████▍ | 12/22 [00:36<00:20, 2.07s/it] 59%|█████▉ | 13/22 [00:36<00:13, 1.52s/it] 64%|██████▎ | 14/22 [00:36<00:09, 1.14s/it] 68%|██████▊ | 15/22 [00:37<00:06, 1.14it/s] 73%|███████▎ | 16/22 [00:37<00:04, 1.44it/s] 77%|███████▋ | 17/22 [00:46<00:15, 3.11s/it] 82%|████████▏ | 18/22 [00:47<00:10, 2.68s/it] 86%|████████▋ | 19/22 [00:48<00:05, 1.95s/it] 91%|█████████ | 20/22 [00:48<00:02, 1.45s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.09s/it]100%|██████████| 22/22 [00:48<00:00, 1.18it/s]100%|██████████| 22/22 [00:48<00:00, 2.22s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5951998481768688 --change-- -0.004585619418675746
Val loss: 0.5921085436235775 --change-- 0.002984569831327999
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.78915572166443 seconds.
=======================================================================
Epoch 78/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:26, 9.64s/it] 3%|▎ | 2/66 [00:12<06:08, 5.76s/it] 5%|▍ | 3/66 [00:13<03:48, 3.62s/it] 6%|▌ | 4/66 [00:14<02:41, 2.61s/it] 8%|▊ | 5/66 [00:15<02:05, 2.05s/it] 9%|▉ | 6/66 [00:16<01:43, 1.72s/it] 11%|█ | 7/66 [00:18<01:28, 1.51s/it] 12%|█▏ | 8/66 [00:19<01:19, 1.37s/it] 14%|█▎ | 9/66 [00:20<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:21<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.12s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:13<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.07s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:23<08:06, 23.15s/it] 9%|▉ | 2/22 [00:23<03:13, 9.69s/it] 14%|█▎ | 3/22 [00:23<01:42, 5.39s/it] 18%|█▊ | 4/22 [00:23<01:00, 3.36s/it] 23%|██▎ | 5/22 [00:24<00:38, 2.25s/it] 27%|██▋ | 6/22 [00:24<00:25, 1.57s/it] 32%|███▏ | 7/22 [00:24<00:17, 1.15s/it] 36%|███▋ | 8/22 [00:25<00:12, 1.15it/s] 41%|████ | 9/22 [00:36<00:54, 4.20s/it] 45%|████▌ | 10/22 [00:36<00:35, 2.99s/it] 50%|█████ | 11/22 [00:37<00:23, 2.15s/it] 55%|█████▍ | 12/22 [00:37<00:15, 1.58s/it] 59%|█████▉ | 13/22 [00:37<00:10, 1.18s/it] 64%|██████▎ | 14/22 [00:37<00:07, 1.10it/s] 68%|██████▊ | 15/22 [00:38<00:04, 1.40it/s] 73%|███████▎ | 16/22 [00:38<00:03, 1.73it/s] 77%|███████▋ | 17/22 [00:47<00:15, 3.08s/it] 82%|████████▏ | 18/22 [00:47<00:08, 2.23s/it] 86%|████████▋ | 19/22 [00:47<00:04, 1.64s/it] 91%|█████████ | 20/22 [00:48<00:02, 1.23s/it] 95%|█████████▌| 21/22 [00:48<00:00, 1.06it/s]100%|██████████| 22/22 [00:48<00:00, 1.36it/s]100%|██████████| 22/22 [00:48<00:00, 2.21s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5892583814286093 --change-- -0.005941466748259461
Val loss: 0.5869920592416417 --change-- -0.005116484381935793
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.30575227737427 seconds.
=======================================================================
Epoch 79/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:06<07:11, 6.64s/it] 3%|▎ | 2/66 [00:07<03:35, 3.36s/it] 5%|▍ | 3/66 [00:08<02:25, 2.31s/it] 6%|▌ | 4/66 [00:09<01:52, 1.82s/it] 8%|▊ | 5/66 [00:10<01:34, 1.55s/it] 9%|▉ | 6/66 [00:12<01:23, 1.40s/it] 11%|█ | 7/66 [00:13<01:19, 1.34s/it] 12%|█▏ | 8/66 [00:14<01:12, 1.25s/it] 14%|█▎ | 9/66 [00:16<01:25, 1.50s/it] 15%|█▌ | 10/66 [00:17<01:16, 1.37s/it] 17%|█▋ | 11/66 [00:18<01:10, 1.28s/it] 18%|█▊ | 12/66 [00:19<01:05, 1.21s/it] 20%|█▉ | 13/66 [00:20<01:01, 1.17s/it] 21%|██ | 14/66 [00:21<00:59, 1.14s/it] 23%|██▎ | 15/66 [00:22<00:56, 1.12s/it] 24%|██▍ | 16/66 [00:23<00:55, 1.10s/it] 26%|██▌ | 17/66 [00:24<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:25<00:52, 1.08s/it] 29%|██▉ | 19/66 [00:27<00:50, 1.08s/it] 30%|███ | 20/66 [00:28<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:29<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:30<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:31<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:32<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:33<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:34<00:42, 1.07s/it] 41%|████ | 27/66 [00:35<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:36<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:37<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:38<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:39<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:40<00:36, 1.07s/it] 50%|█████ | 33/66 [00:41<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:43<00:42, 1.32s/it] 53%|█████▎ | 35/66 [00:45<00:39, 1.27s/it] 55%|█████▍ | 36/66 [00:46<00:36, 1.21s/it] 56%|█████▌ | 37/66 [00:48<00:44, 1.54s/it] 58%|█████▊ | 38/66 [00:49<00:39, 1.40s/it] 59%|█████▉ | 39/66 [00:50<00:35, 1.30s/it] 61%|██████ | 40/66 [00:51<00:31, 1.23s/it] 62%|██████▏ | 41/66 [00:52<00:29, 1.18s/it] 64%|██████▎ | 42/66 [00:53<00:27, 1.15s/it] 65%|██████▌ | 43/66 [00:54<00:25, 1.12s/it] 67%|██████▋ | 44/66 [00:55<00:24, 1.11s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.09s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.09s/it] 71%|███████ | 47/66 [01:01<00:35, 1.88s/it] 73%|███████▎ | 48/66 [01:02<00:29, 1.64s/it] 74%|███████▍ | 49/66 [01:03<00:24, 1.47s/it] 76%|███████▌ | 50/66 [01:04<00:21, 1.35s/it] 77%|███████▋ | 51/66 [01:06<00:18, 1.26s/it] 79%|███████▉ | 52/66 [01:07<00:16, 1.20s/it] 80%|████████ | 53/66 [01:08<00:15, 1.16s/it] 82%|████████▏ | 54/66 [01:09<00:13, 1.13s/it] 83%|████████▎ | 55/66 [01:13<00:21, 1.99s/it] 85%|████████▍ | 56/66 [01:14<00:17, 1.71s/it] 86%|████████▋ | 57/66 [01:15<00:13, 1.52s/it] 88%|████████▊ | 58/66 [01:16<00:11, 1.38s/it] 89%|████████▉ | 59/66 [01:17<00:09, 1.29s/it] 91%|█████████ | 60/66 [01:18<00:07, 1.22s/it] 92%|█████████▏| 61/66 [01:19<00:05, 1.18s/it] 94%|█████████▍| 62/66 [01:20<00:04, 1.14s/it] 95%|█████████▌| 63/66 [01:21<00:03, 1.12s/it] 97%|█████████▋| 64/66 [01:22<00:02, 1.11s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.09s/it]100%|██████████| 66/66 [01:24<00:00, 1.07it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:53, 19.71s/it] 9%|▉ | 2/22 [00:19<02:45, 8.27s/it] 14%|█▎ | 3/22 [00:20<01:27, 4.62s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.90s/it] 23%|██▎ | 5/22 [00:20<00:33, 1.95s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.38s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.01s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.29it/s] 41%|████ | 9/22 [00:32<00:49, 3.85s/it] 45%|████▌ | 10/22 [00:32<00:32, 2.74s/it] 50%|█████ | 11/22 [00:32<00:21, 1.98s/it] 55%|█████▍ | 12/22 [00:32<00:14, 1.46s/it] 59%|█████▉ | 13/22 [00:33<00:09, 1.10s/it] 64%|██████▎ | 14/22 [00:33<00:06, 1.18it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.49it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.82it/s] 77%|███████▋ | 17/22 [00:43<00:16, 3.31s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.40s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.76s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.31s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.00it/s]100%|██████████| 22/22 [00:45<00:00, 1.29it/s]100%|██████████| 22/22 [00:45<00:00, 2.05s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5910963250025538 --change-- 0.0018379435739445116
Val loss: 0.5873342048038136 --change-- 0.00034214556217193604
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.6973147392273 seconds.
=======================================================================
Epoch 80/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<08:10, 7.55s/it] 3%|▎ | 2/66 [00:08<03:59, 3.74s/it] 5%|▍ | 3/66 [00:09<02:38, 2.52s/it] 6%|▌ | 4/66 [00:10<02:00, 1.94s/it] 8%|▊ | 5/66 [00:11<01:39, 1.63s/it] 9%|▉ | 6/66 [00:12<01:26, 1.44s/it] 11%|█ | 7/66 [00:13<01:17, 1.32s/it] 12%|█▏ | 8/66 [00:15<01:11, 1.24s/it] 14%|█▎ | 9/66 [00:16<01:07, 1.18s/it] 15%|█▌ | 10/66 [00:17<01:04, 1.15s/it] 17%|█▋ | 11/66 [00:18<01:01, 1.12s/it] 18%|█▊ | 12/66 [00:19<00:59, 1.11s/it] 20%|█▉ | 13/66 [00:20<00:58, 1.10s/it] 21%|██ | 14/66 [00:21<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:22<00:55, 1.08s/it] 24%|██▍ | 16/66 [00:23<00:53, 1.08s/it] 26%|██▌ | 17/66 [00:24<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:25<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:30<01:37, 2.08s/it] 30%|███ | 20/66 [00:31<01:21, 1.78s/it] 32%|███▏ | 21/66 [00:32<01:10, 1.56s/it] 33%|███▎ | 22/66 [00:33<01:02, 1.42s/it] 35%|███▍ | 23/66 [00:34<00:56, 1.31s/it] 36%|███▋ | 24/66 [00:35<00:51, 1.24s/it] 38%|███▊ | 25/66 [00:36<00:48, 1.19s/it] 39%|███▉ | 26/66 [00:37<00:46, 1.15s/it] 41%|████ | 27/66 [00:38<00:43, 1.13s/it] 42%|████▏ | 28/66 [00:39<00:42, 1.11s/it] 44%|████▍ | 29/66 [00:40<00:40, 1.10s/it] 45%|████▌ | 30/66 [00:41<00:39, 1.09s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.08s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.08s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:49<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:05<00:14, 1.07s/it] 80%|████████ | 53/66 [01:06<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:18, 1.53s/it] 83%|████████▎ | 55/66 [01:10<00:15, 1.39s/it] 85%|████████▍ | 56/66 [01:12<00:15, 1.57s/it] 86%|████████▋ | 57/66 [01:13<00:12, 1.42s/it] 88%|████████▊ | 58/66 [01:14<00:10, 1.32s/it] 89%|████████▉ | 59/66 [01:15<00:08, 1.24s/it] 91%|█████████ | 60/66 [01:16<00:07, 1.19s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.15s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.13s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.11s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.10s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.09s/it]100%|██████████| 66/66 [01:22<00:00, 1.08it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:43, 19.22s/it] 9%|▉ | 2/22 [00:19<02:41, 8.07s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.51s/it] 18%|█▊ | 4/22 [00:20<00:50, 2.83s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.91s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.35s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:33<00:57, 4.40s/it] 45%|████▌ | 10/22 [00:33<00:37, 3.12s/it] 50%|█████ | 11/22 [00:34<00:24, 2.25s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.64s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.23s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.36it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.68it/s] 77%|███████▋ | 17/22 [00:43<00:14, 2.83s/it] 82%|████████▏ | 18/22 [00:43<00:08, 2.06s/it] 86%|████████▋ | 19/22 [00:43<00:04, 1.52s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.15s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.13it/s]100%|██████████| 22/22 [00:44<00:00, 1.44it/s]100%|██████████| 22/22 [00:44<00:00, 2.03s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5871224100808151 --change-- -0.003973914921738708
Val loss: 0.5862552591345527 --change-- -0.0010789456692609223
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.3358588218689 seconds.
=======================================================================
Epoch 81/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:07<07:44, 7.15s/it] 3%|▎ | 2/66 [00:08<03:48, 3.57s/it] 5%|▍ | 3/66 [00:09<02:33, 2.43s/it] 6%|▌ | 4/66 [00:15<04:03, 3.92s/it] 8%|▊ | 5/66 [00:16<02:56, 2.89s/it] 9%|▉ | 6/66 [00:17<02:16, 2.27s/it] 11%|█ | 7/66 [00:18<01:50, 1.88s/it] 12%|█▏ | 8/66 [00:19<01:33, 1.62s/it] 14%|█▎ | 9/66 [00:20<01:22, 1.45s/it] 15%|█▌ | 10/66 [00:21<01:14, 1.33s/it] 17%|█▋ | 11/66 [00:22<01:08, 1.25s/it] 18%|█▊ | 12/66 [00:24<01:04, 1.19s/it] 20%|█▉ | 13/66 [00:25<01:01, 1.16s/it] 21%|██ | 14/66 [00:26<00:58, 1.13s/it] 23%|██▎ | 15/66 [00:27<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:28<00:54, 1.10s/it] 26%|██▌ | 17/66 [00:29<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:30<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:31<00:50, 1.08s/it] 30%|███ | 20/66 [00:32<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:33<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.08s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:52<00:47, 1.65s/it] 58%|█████▊ | 38/66 [00:53<00:41, 1.48s/it] 59%|█████▉ | 39/66 [00:54<00:36, 1.35s/it] 61%|██████ | 40/66 [00:55<00:32, 1.27s/it] 62%|██████▏ | 41/66 [00:56<00:30, 1.21s/it] 64%|██████▎ | 42/66 [00:58<00:27, 1.16s/it] 65%|██████▌ | 43/66 [00:59<00:26, 1.14s/it] 67%|██████▋ | 44/66 [01:00<00:27, 1.25s/it] 68%|██████▊ | 45/66 [01:01<00:25, 1.20s/it] 70%|██████▉ | 46/66 [01:02<00:23, 1.16s/it] 71%|███████ | 47/66 [01:03<00:21, 1.13s/it] 73%|███████▎ | 48/66 [01:04<00:20, 1.11s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.10s/it] 76%|███████▌ | 50/66 [01:07<00:17, 1.09s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.08s/it] 79%|███████▉ | 52/66 [01:09<00:15, 1.08s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:13<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:14<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:15<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:23<00:00, 1.09it/s]100%|██████████| 66/66 [01:23<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:48, 19.46s/it] 9%|▉ | 2/22 [00:19<02:43, 8.17s/it] 14%|█▎ | 3/22 [00:19<01:26, 4.56s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.87s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.93s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.36s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.00s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.30it/s] 41%|████ | 9/22 [00:32<00:50, 3.90s/it] 45%|████▌ | 10/22 [00:32<00:33, 2.78s/it] 50%|█████ | 11/22 [00:32<00:22, 2.01s/it] 55%|█████▍ | 12/22 [00:32<00:14, 1.48s/it] 59%|█████▉ | 13/22 [00:33<00:09, 1.11s/it] 64%|██████▎ | 14/22 [00:33<00:06, 1.17it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.48it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.81it/s] 77%|███████▋ | 17/22 [00:44<00:17, 3.53s/it] 82%|████████▏ | 18/22 [00:44<00:10, 2.55s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.86s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.38s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.05s/it]100%|██████████| 22/22 [00:45<00:00, 1.23it/s]100%|██████████| 22/22 [00:45<00:00, 2.08s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5946617374438365 --change-- 0.007539327363021431
Val loss: 0.6419524801048365 --change-- 0.055697220970283845
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 131.53219532966614 seconds.
=======================================================================
Epoch 82/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:26, 3.18s/it] 3%|▎ | 2/66 [00:06<03:41, 3.46s/it] 5%|▍ | 3/66 [00:09<03:28, 3.31s/it] 6%|▌ | 4/66 [00:12<03:08, 3.05s/it] 8%|▊ | 5/66 [00:13<02:22, 2.33s/it] 9%|▉ | 6/66 [00:14<01:54, 1.90s/it] 11%|█ | 7/66 [00:15<01:36, 1.63s/it] 12%|█▏ | 8/66 [00:16<01:24, 1.45s/it] 14%|█▎ | 9/66 [00:17<01:15, 1.33s/it] 15%|█▌ | 10/66 [00:19<01:10, 1.25s/it] 17%|█▋ | 11/66 [00:20<01:05, 1.19s/it] 18%|█▊ | 12/66 [00:21<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:22<00:59, 1.13s/it] 21%|██ | 14/66 [00:23<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:24<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:26<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:27<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:28<00:50, 1.08s/it] 30%|███ | 20/66 [00:29<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:30<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:31<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:32<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:33<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:42<00:36, 1.07s/it] 50%|█████ | 33/66 [00:43<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:44<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:45<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:46<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:47<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:48<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:49<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:30, 1.26s/it] 65%|██████▌ | 43/66 [00:54<00:27, 1.20s/it] 67%|██████▋ | 44/66 [00:55<00:25, 1.16s/it] 68%|██████▊ | 45/66 [00:57<00:23, 1.13s/it] 70%|██████▉ | 46/66 [00:58<00:22, 1.11s/it] 71%|███████ | 47/66 [00:59<00:21, 1.11s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.10s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.09s/it] 76%|███████▌ | 50/66 [01:05<00:30, 1.92s/it] 77%|███████▋ | 51/66 [01:06<00:24, 1.66s/it] 79%|███████▉ | 52/66 [01:07<00:20, 1.48s/it] 80%|████████ | 53/66 [01:08<00:17, 1.36s/it] 82%|████████▏ | 54/66 [01:09<00:15, 1.27s/it] 83%|████████▎ | 55/66 [01:10<00:13, 1.21s/it] 85%|████████▍ | 56/66 [01:11<00:11, 1.17s/it] 86%|████████▋ | 57/66 [01:12<00:10, 1.14s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.12s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.10s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.08s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:17<06:16, 17.94s/it] 9%|▉ | 2/22 [00:18<02:33, 7.67s/it] 14%|█▎ | 3/22 [00:18<01:21, 4.29s/it] 18%|█▊ | 4/22 [00:18<00:48, 2.70s/it] 23%|██▎ | 5/22 [00:19<00:30, 1.82s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.29s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.04it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.36it/s] 41%|████ | 9/22 [00:31<00:53, 4.10s/it] 45%|████▌ | 10/22 [00:31<00:34, 2.92s/it] 50%|█████ | 11/22 [00:32<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:32<00:15, 1.55s/it] 59%|█████▉ | 13/22 [00:32<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:32<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:33<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:41<00:14, 2.88s/it] 82%|████████▏ | 18/22 [00:41<00:08, 2.09s/it] 86%|████████▋ | 19/22 [00:42<00:04, 1.54s/it] 91%|█████████ | 20/22 [00:42<00:02, 1.16s/it] 95%|█████████▌| 21/22 [00:42<00:00, 1.12it/s]100%|██████████| 22/22 [00:42<00:00, 1.42it/s]100%|██████████| 22/22 [00:42<00:00, 1.95s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6110766784835407 --change-- 0.0164149410397042
Val loss: 0.5973584313284267 --change-- -0.04459404877640982
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 127.00874257087708 seconds.
=======================================================================
Epoch 83/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:47, 8.11s/it] 3%|▎ | 2/66 [00:09<04:21, 4.09s/it] 5%|▍ | 3/66 [00:10<02:50, 2.71s/it] 6%|▌ | 4/66 [00:13<02:58, 2.88s/it] 8%|▊ | 5/66 [00:14<02:15, 2.23s/it] 9%|▉ | 6/66 [00:15<01:49, 1.83s/it] 11%|█ | 7/66 [00:16<01:33, 1.58s/it] 12%|█▏ | 8/66 [00:17<01:22, 1.42s/it] 14%|█▎ | 9/66 [00:18<01:14, 1.31s/it] 15%|█▌ | 10/66 [00:20<01:09, 1.23s/it] 17%|█▋ | 11/66 [00:21<01:05, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:02, 1.15s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.10s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.08s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:52<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:53<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:07<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:08<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:09<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:10<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:11<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:18<00:01, 1.07s/it]100%|██████████| 66/66 [01:19<00:00, 1.09it/s]100%|██████████| 66/66 [01:19<00:00, 1.20s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:32, 18.67s/it] 9%|▉ | 2/22 [00:18<02:36, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.38s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:35<01:07, 5.22s/it] 45%|████▌ | 10/22 [00:35<00:44, 3.69s/it] 50%|█████ | 11/22 [00:36<00:29, 2.64s/it] 55%|█████▍ | 12/22 [00:36<00:19, 1.92s/it] 59%|█████▉ | 13/22 [00:36<00:12, 1.42s/it] 64%|██████▎ | 14/22 [00:36<00:08, 1.07s/it] 68%|██████▊ | 15/22 [00:37<00:05, 1.21it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.52it/s] 77%|███████▋ | 17/22 [00:46<00:16, 3.28s/it] 82%|████████▏ | 18/22 [00:47<00:09, 2.37s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.74s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.30s/it] 95%|█████████▌| 21/22 [00:47<00:00, 1.01it/s]100%|██████████| 22/22 [00:48<00:00, 1.30it/s]100%|██████████| 22/22 [00:48<00:00, 2.19s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6051513743764572 --change-- -0.005925304107083584
Val loss: 0.590937924656001 --change-- -0.006420506672425663
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.79499983787537 seconds.
=======================================================================
Epoch 84/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:13<14:30, 13.40s/it] 3%|▎ | 2/66 [00:14<06:33, 6.15s/it] 5%|▍ | 3/66 [00:15<04:01, 3.83s/it] 6%|▌ | 4/66 [00:17<03:20, 3.23s/it] 8%|▊ | 5/66 [00:18<02:29, 2.45s/it] 9%|▉ | 6/66 [00:19<01:58, 1.98s/it] 11%|█ | 7/66 [00:21<01:39, 1.68s/it] 12%|█▏ | 8/66 [00:22<01:26, 1.49s/it] 14%|█▎ | 9/66 [00:23<01:17, 1.36s/it] 15%|█▌ | 10/66 [00:24<01:10, 1.27s/it] 17%|█▋ | 11/66 [00:25<01:06, 1.21s/it] 18%|█▊ | 12/66 [00:26<01:02, 1.16s/it] 20%|█▉ | 13/66 [00:27<01:00, 1.13s/it] 21%|██ | 14/66 [00:28<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:29<00:56, 1.10s/it] 24%|██▍ | 16/66 [00:30<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:31<00:53, 1.08s/it] 27%|██▋ | 18/66 [00:32<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:33<00:50, 1.07s/it] 30%|███ | 20/66 [00:34<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:36<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:37<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:38<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:39<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:40<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:41<00:42, 1.07s/it] 41%|████ | 27/66 [00:42<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:43<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:44<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:45<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:46<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:47<00:36, 1.07s/it] 50%|█████ | 33/66 [00:48<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:49<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:50<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:52<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:53<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:54<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:55<00:28, 1.07s/it] 61%|██████ | 40/66 [00:56<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:57<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:58<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:59<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:00<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:01<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:02<00:21, 1.07s/it] 71%|███████ | 47/66 [01:03<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:04<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:05<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:06<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:08<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:09<00:14, 1.07s/it] 80%|████████ | 53/66 [01:10<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:11<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:12<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:13<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:14<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:15<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:16<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:17<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:18<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:19<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:20<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:21<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:23<00:01, 1.07s/it]100%|██████████| 66/66 [01:23<00:00, 1.09it/s]100%|██████████| 66/66 [01:23<00:00, 1.27s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:18, 20.87s/it] 9%|▉ | 2/22 [00:21<02:54, 8.75s/it] 14%|█▎ | 3/22 [00:21<01:32, 4.88s/it] 18%|█▊ | 4/22 [00:21<00:55, 3.06s/it] 23%|██▎ | 5/22 [00:21<00:34, 2.05s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.44s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.06s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.24it/s] 41%|████ | 9/22 [00:33<00:51, 3.98s/it] 45%|████▌ | 10/22 [00:34<00:34, 2.88s/it] 50%|█████ | 11/22 [00:34<00:22, 2.08s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.53s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.14it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.44it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.77it/s] 77%|███████▋ | 17/22 [00:48<00:21, 4.36s/it] 82%|████████▏ | 18/22 [00:49<00:12, 3.13s/it] 86%|████████▋ | 19/22 [00:49<00:06, 2.27s/it] 91%|█████████ | 20/22 [00:49<00:03, 1.67s/it] 95%|█████████▌| 21/22 [00:49<00:01, 1.25s/it]100%|██████████| 22/22 [00:50<00:00, 1.05it/s]100%|██████████| 22/22 [00:50<00:00, 2.28s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5958143691070207 --change-- -0.009337005269436482
Val loss: 0.5839231759309769 --change-- -0.007014748725024167
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.94275760650635 seconds.
=======================================================================
Epoch 85/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:04<04:35, 4.24s/it] 3%|▎ | 2/66 [00:05<02:32, 2.38s/it] 5%|▍ | 3/66 [00:08<02:58, 2.84s/it] 6%|▌ | 4/66 [00:09<02:12, 2.14s/it] 8%|▊ | 5/66 [00:10<01:46, 1.75s/it] 9%|▉ | 6/66 [00:14<02:15, 2.25s/it] 11%|█ | 7/66 [00:15<01:49, 1.86s/it] 12%|█▏ | 8/66 [00:16<01:33, 1.61s/it] 14%|█▎ | 9/66 [00:17<01:22, 1.44s/it] 15%|█▌ | 10/66 [00:18<01:14, 1.33s/it] 17%|█▋ | 11/66 [00:20<01:34, 1.72s/it] 18%|█▊ | 12/66 [00:21<01:22, 1.52s/it] 20%|█▉ | 13/66 [00:23<01:13, 1.38s/it] 21%|██ | 14/66 [00:24<01:06, 1.29s/it] 23%|██▎ | 15/66 [00:25<01:02, 1.22s/it] 24%|██▍ | 16/66 [00:26<00:58, 1.17s/it] 26%|██▌ | 17/66 [00:27<00:55, 1.14s/it] 27%|██▋ | 18/66 [00:28<00:53, 1.12s/it] 29%|██▉ | 19/66 [00:29<00:51, 1.10s/it] 30%|███ | 20/66 [00:30<00:50, 1.09s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.09s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:33<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:34<00:45, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:39<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:40<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:54<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:55<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:56<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:20, 1.35s/it] 79%|███████▉ | 52/66 [01:05<00:17, 1.27s/it] 80%|████████ | 53/66 [01:06<00:15, 1.21s/it] 82%|████████▏ | 54/66 [01:07<00:14, 1.17s/it] 83%|████████▎ | 55/66 [01:08<00:12, 1.14s/it] 85%|████████▍ | 56/66 [01:09<00:11, 1.12s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.10s/it] 88%|████████▊ | 58/66 [01:12<00:08, 1.09s/it] 89%|████████▉ | 59/66 [01:13<00:08, 1.17s/it] 91%|█████████ | 60/66 [01:14<00:06, 1.14s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.12s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.10s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.09s/it] 97%|█████████▋| 64/66 [01:18<00:02, 1.08s/it] 98%|█████████▊| 65/66 [01:19<00:01, 1.08s/it]100%|██████████| 66/66 [01:20<00:00, 1.09it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:16<05:53, 16.85s/it] 9%|▉ | 2/22 [00:17<02:21, 7.10s/it] 14%|█▎ | 3/22 [00:17<01:15, 3.98s/it] 18%|█▊ | 4/22 [00:17<00:45, 2.51s/it] 23%|██▎ | 5/22 [00:17<00:28, 1.70s/it] 27%|██▋ | 6/22 [00:18<00:19, 1.21s/it] 32%|███▏ | 7/22 [00:18<00:13, 1.11it/s] 36%|███▋ | 8/22 [00:18<00:09, 1.43it/s] 41%|████ | 9/22 [00:33<01:05, 5.07s/it] 45%|████▌ | 10/22 [00:33<00:43, 3.58s/it] 50%|█████ | 11/22 [00:33<00:28, 2.57s/it] 55%|█████▍ | 12/22 [00:34<00:18, 1.87s/it] 59%|█████▉ | 13/22 [00:34<00:12, 1.38s/it] 64%|██████▎ | 14/22 [00:34<00:08, 1.05s/it] 68%|██████▊ | 15/22 [00:34<00:05, 1.23it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.55it/s] 77%|███████▋ | 17/22 [00:44<00:16, 3.32s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.41s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.76s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.31s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.00it/s]100%|██████████| 22/22 [00:46<00:00, 1.28it/s]100%|██████████| 22/22 [00:46<00:00, 2.10s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5982503759041997 --change-- 0.0024360067971790356
Val loss: 0.5925632850690321 --change-- 0.00864010913805524
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.69128251075745 seconds.
=======================================================================
Epoch 86/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:03<03:33, 3.29s/it] 3%|▎ | 2/66 [00:11<06:41, 6.28s/it] 5%|▍ | 3/66 [00:12<04:05, 3.90s/it] 6%|▌ | 4/66 [00:13<02:52, 2.78s/it] 8%|▊ | 5/66 [00:14<02:11, 2.16s/it] 9%|▉ | 6/66 [00:15<01:47, 1.79s/it] 11%|█ | 7/66 [00:16<01:31, 1.55s/it] 12%|█▏ | 8/66 [00:18<01:21, 1.40s/it] 14%|█▎ | 9/66 [00:19<01:13, 1.30s/it] 15%|█▌ | 10/66 [00:20<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:21<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:22<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:23<00:59, 1.12s/it] 21%|██ | 14/66 [00:24<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.08s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:34<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:35<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:36<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:37<00:42, 1.07s/it] 41%|████ | 27/66 [00:38<00:48, 1.25s/it] 42%|████▏ | 28/66 [00:40<00:45, 1.20s/it] 44%|████▍ | 29/66 [00:41<00:42, 1.16s/it] 45%|████▌ | 30/66 [00:42<00:40, 1.13s/it] 47%|████▋ | 31/66 [00:43<00:38, 1.11s/it] 48%|████▊ | 32/66 [00:44<00:37, 1.10s/it] 50%|█████ | 33/66 [00:45<00:35, 1.09s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.08s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.08s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.08s/it] 56%|█████▌ | 37/66 [00:49<00:31, 1.07s/it] 58%|█████▊ | 38/66 [00:50<00:30, 1.07s/it] 59%|█████▉ | 39/66 [00:51<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:33, 1.29s/it] 62%|██████▏ | 41/66 [00:54<00:30, 1.22s/it] 64%|██████▎ | 42/66 [00:55<00:28, 1.18s/it] 65%|██████▌ | 43/66 [01:01<01:02, 2.70s/it] 67%|██████▋ | 44/66 [01:03<00:48, 2.21s/it] 68%|██████▊ | 45/66 [01:04<00:39, 1.87s/it] 70%|██████▉ | 46/66 [01:05<00:32, 1.63s/it] 71%|███████ | 47/66 [01:06<00:27, 1.46s/it] 73%|███████▎ | 48/66 [01:07<00:24, 1.34s/it] 74%|███████▍ | 49/66 [01:08<00:21, 1.26s/it] 76%|███████▌ | 50/66 [01:09<00:19, 1.20s/it] 77%|███████▋ | 51/66 [01:10<00:17, 1.16s/it] 79%|███████▉ | 52/66 [01:11<00:15, 1.13s/it] 80%|████████ | 53/66 [01:12<00:14, 1.11s/it] 82%|████████▏ | 54/66 [01:13<00:13, 1.10s/it] 83%|████████▎ | 55/66 [01:14<00:11, 1.09s/it] 85%|████████▍ | 56/66 [01:15<00:10, 1.08s/it] 86%|████████▋ | 57/66 [01:16<00:09, 1.08s/it] 88%|████████▊ | 58/66 [01:17<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:19<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:25<00:00, 1.09it/s]100%|██████████| 66/66 [01:25<00:00, 1.30s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:35, 21.71s/it] 9%|▉ | 2/22 [00:21<03:01, 9.09s/it] 14%|█▎ | 3/22 [00:22<01:36, 5.06s/it] 18%|█▊ | 4/22 [00:22<00:57, 3.17s/it] 23%|██▎ | 5/22 [00:22<00:36, 2.12s/it] 27%|██▋ | 6/22 [00:23<00:23, 1.49s/it] 32%|███▏ | 7/22 [00:23<00:16, 1.09s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.21it/s] 41%|████ | 9/22 [00:34<00:51, 3.99s/it] 45%|████▌ | 10/22 [00:34<00:34, 2.84s/it] 50%|█████ | 11/22 [00:35<00:22, 2.05s/it] 55%|█████▍ | 12/22 [00:35<00:15, 1.51s/it] 59%|█████▉ | 13/22 [00:35<00:10, 1.13s/it] 64%|██████▎ | 14/22 [00:35<00:06, 1.15it/s] 68%|██████▊ | 15/22 [00:36<00:04, 1.45it/s] 73%|███████▎ | 16/22 [00:36<00:03, 1.78it/s] 77%|███████▋ | 17/22 [00:45<00:15, 3.11s/it] 82%|████████▏ | 18/22 [00:46<00:09, 2.43s/it] 86%|████████▋ | 19/22 [00:46<00:05, 1.78s/it] 91%|█████████ | 20/22 [00:46<00:02, 1.32s/it] 95%|█████████▌| 21/22 [00:47<00:01, 1.01s/it]100%|██████████| 22/22 [00:47<00:00, 1.28it/s]100%|██████████| 22/22 [00:47<00:00, 2.15s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5848496069434945 --change-- -0.01340076896070519
Val loss: 0.5925871567292647 --change-- 2.3871660232543945e-05
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 135.5619101524353 seconds.
=======================================================================
Epoch 87/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:49, 9.99s/it] 3%|▎ | 2/66 [00:12<06:02, 5.67s/it] 5%|▍ | 3/66 [00:13<03:44, 3.57s/it] 6%|▌ | 4/66 [00:14<02:39, 2.58s/it] 8%|▊ | 5/66 [00:15<02:04, 2.03s/it] 9%|▉ | 6/66 [00:16<01:42, 1.71s/it] 11%|█ | 7/66 [00:17<01:28, 1.50s/it] 12%|█▏ | 8/66 [00:19<01:18, 1.36s/it] 14%|█▎ | 9/66 [00:20<01:12, 1.27s/it] 15%|█▌ | 10/66 [00:21<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:22<01:04, 1.16s/it] 18%|█▊ | 12/66 [00:23<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:24<00:59, 1.12s/it] 21%|██ | 14/66 [00:25<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:26<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:27<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:28<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:29<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:30<00:50, 1.07s/it] 30%|███ | 20/66 [00:31<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:32<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:33<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:35<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:36<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:37<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:38<00:42, 1.07s/it] 41%|████ | 27/66 [00:39<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:40<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:41<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:42<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:43<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:44<00:36, 1.07s/it] 50%|█████ | 33/66 [00:45<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:46<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:47<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:48<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:51<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:52<00:28, 1.07s/it] 61%|██████ | 40/66 [00:53<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:54<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:55<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:56<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:57<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:58<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:59<00:21, 1.07s/it] 71%|███████ | 47/66 [01:00<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:01<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:02<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:03<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:04<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:07<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:08<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:09<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:11<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:16<00:18, 2.37s/it] 89%|████████▉ | 59/66 [01:17<00:13, 1.98s/it] 91%|█████████ | 60/66 [01:18<00:10, 1.70s/it] 92%|█████████▏| 61/66 [01:19<00:07, 1.51s/it] 94%|█████████▍| 62/66 [01:21<00:05, 1.38s/it] 95%|█████████▌| 63/66 [01:22<00:03, 1.29s/it] 97%|█████████▋| 64/66 [01:23<00:02, 1.22s/it] 98%|█████████▊| 65/66 [01:24<00:01, 1.17s/it]100%|██████████| 66/66 [01:24<00:00, 1.01it/s]100%|██████████| 66/66 [01:24<00:00, 1.28s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:44, 19.26s/it] 9%|▉ | 2/22 [00:19<02:41, 8.09s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.52s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.84s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.91s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.35s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:35<01:06, 5.12s/it] 45%|████▌ | 10/22 [00:36<00:43, 3.66s/it] 50%|█████ | 11/22 [00:36<00:28, 2.62s/it] 55%|█████▍ | 12/22 [00:36<00:19, 1.91s/it] 59%|█████▉ | 13/22 [00:37<00:12, 1.41s/it] 64%|██████▎ | 14/22 [00:37<00:08, 1.06s/it] 68%|██████▊ | 15/22 [00:37<00:05, 1.21it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.52it/s] 77%|███████▋ | 17/22 [00:44<00:13, 2.61s/it] 82%|████████▏ | 18/22 [00:45<00:07, 1.90s/it] 86%|████████▋ | 19/22 [00:45<00:04, 1.41s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.07s/it] 95%|█████████▌| 21/22 [00:46<00:00, 1.21it/s]100%|██████████| 22/22 [00:46<00:00, 1.52it/s]100%|██████████| 22/22 [00:46<00:00, 2.10s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5954522367652136 --change-- 0.010602629821719112
Val loss: 0.593789745460857 --change-- 0.0012025887315924022
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 133.70366549491882 seconds.
=======================================================================
Epoch 88/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:12<13:44, 12.68s/it] 3%|▎ | 2/66 [00:13<06:14, 5.85s/it] 5%|▍ | 3/66 [00:14<03:50, 3.67s/it] 6%|▌ | 4/66 [00:15<02:43, 2.64s/it] 8%|▊ | 5/66 [00:16<02:06, 2.07s/it] 9%|▉ | 6/66 [00:18<01:43, 1.73s/it] 11%|█ | 7/66 [00:19<01:29, 1.51s/it] 12%|█▏ | 8/66 [00:20<01:19, 1.37s/it] 14%|█▎ | 9/66 [00:21<01:12, 1.28s/it] 15%|█▌ | 10/66 [00:22<01:07, 1.21s/it] 17%|█▋ | 11/66 [00:23<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:24<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:25<00:59, 1.12s/it] 21%|██ | 14/66 [00:26<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:27<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:28<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:29<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:30<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:31<00:50, 1.07s/it] 30%|███ | 20/66 [00:32<00:49, 1.08s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:36<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:37<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:36, 1.19s/it] 55%|█████▍ | 36/66 [00:50<00:34, 1.15s/it] 56%|█████▌ | 37/66 [00:51<00:32, 1.13s/it] 58%|█████▊ | 38/66 [00:52<00:31, 1.11s/it] 59%|█████▉ | 39/66 [00:53<00:29, 1.10s/it] 61%|██████ | 40/66 [00:54<00:28, 1.09s/it] 62%|██████▏ | 41/66 [00:55<00:27, 1.08s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.08s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.08s/it] 67%|██████▋ | 44/66 [00:59<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:00<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:10<00:14, 1.24s/it] 83%|████████▎ | 55/66 [01:11<00:13, 1.19s/it] 85%|████████▍ | 56/66 [01:12<00:11, 1.15s/it] 86%|████████▋ | 57/66 [01:13<00:10, 1.13s/it] 88%|████████▊ | 58/66 [01:14<00:08, 1.11s/it] 89%|████████▉ | 59/66 [01:15<00:07, 1.10s/it] 91%|█████████ | 60/66 [01:16<00:06, 1.09s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.08s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:22<00:01, 1.07s/it]100%|██████████| 66/66 [01:22<00:00, 1.09it/s]100%|██████████| 66/66 [01:22<00:00, 1.25s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:20<07:10, 20.48s/it] 9%|▉ | 2/22 [00:20<02:51, 8.59s/it] 14%|█▎ | 3/22 [00:21<01:31, 4.79s/it] 18%|█▊ | 4/22 [00:21<00:54, 3.00s/it] 23%|██▎ | 5/22 [00:21<00:34, 2.02s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.42s/it] 32%|███▏ | 7/22 [00:22<00:15, 1.04s/it] 36%|███▋ | 8/22 [00:22<00:11, 1.26it/s] 41%|████ | 9/22 [00:33<00:54, 4.18s/it] 45%|████▌ | 10/22 [00:34<00:35, 2.97s/it] 50%|█████ | 11/22 [00:34<00:23, 2.14s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.57s/it] 59%|█████▉ | 13/22 [00:35<00:10, 1.18s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.11it/s] 68%|██████▊ | 15/22 [00:35<00:04, 1.41it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.73it/s] 77%|███████▋ | 17/22 [00:45<00:15, 3.17s/it] 82%|████████▏ | 18/22 [00:45<00:09, 2.30s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:46<00:00, 1.04it/s]100%|██████████| 22/22 [00:46<00:00, 1.33it/s]100%|██████████| 22/22 [00:46<00:00, 2.11s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5980523151295786 --change-- 0.0026000783643649328
Val loss: 0.5864044468511235 --change-- -0.0073852986097335815
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 132.24989914894104 seconds.
=======================================================================
Epoch 89/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:16<17:38, 16.28s/it] 3%|▎ | 2/66 [00:17<07:49, 7.33s/it] 5%|▍ | 3/66 [00:19<05:19, 5.06s/it] 6%|▌ | 4/66 [00:20<03:36, 3.49s/it] 8%|▊ | 5/66 [00:21<02:39, 2.61s/it] 9%|▉ | 6/66 [00:22<02:05, 2.09s/it] 11%|█ | 7/66 [00:23<01:43, 1.75s/it] 12%|█▏ | 8/66 [00:25<01:29, 1.54s/it] 14%|█▎ | 9/66 [00:26<01:19, 1.39s/it] 15%|█▌ | 10/66 [00:27<01:12, 1.29s/it] 17%|█▋ | 11/66 [00:28<01:07, 1.22s/it] 18%|█▊ | 12/66 [00:29<01:03, 1.18s/it] 20%|█▉ | 13/66 [00:30<01:00, 1.14s/it] 21%|██ | 14/66 [00:31<00:58, 1.12s/it] 23%|██▎ | 15/66 [00:32<00:56, 1.11s/it] 24%|██▍ | 16/66 [00:33<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:34<00:53, 1.09s/it] 27%|██▋ | 18/66 [00:35<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:36<00:50, 1.08s/it] 30%|███ | 20/66 [00:37<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:38<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:40<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:41<00:46, 1.07s/it] 36%|███▋ | 24/66 [00:42<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:43<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:44<00:42, 1.07s/it] 41%|████ | 27/66 [00:45<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:46<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:47<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:48<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:49<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:50<00:36, 1.07s/it] 50%|█████ | 33/66 [00:51<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:52<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:53<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:54<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:56<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:57<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:58<00:28, 1.07s/it] 61%|██████ | 40/66 [00:59<00:27, 1.07s/it] 62%|██████▏ | 41/66 [01:00<00:26, 1.07s/it] 64%|██████▎ | 42/66 [01:01<00:25, 1.07s/it] 65%|██████▌ | 43/66 [01:02<00:24, 1.07s/it] 67%|██████▋ | 44/66 [01:03<00:23, 1.07s/it] 68%|██████▊ | 45/66 [01:04<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:05<00:21, 1.07s/it] 71%|███████ | 47/66 [01:06<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:07<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:08<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:09<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:11<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:12<00:14, 1.07s/it] 80%|████████ | 53/66 [01:13<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:14<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:15<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:16<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:17<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:18<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:19<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:20<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:21<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:22<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:23<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:24<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:25<00:01, 1.07s/it]100%|██████████| 66/66 [01:26<00:00, 1.09it/s]100%|██████████| 66/66 [01:26<00:00, 1.31s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:18, 18.01s/it] 9%|▉ | 2/22 [00:18<02:31, 7.57s/it] 14%|█▎ | 3/22 [00:18<01:20, 4.24s/it] 18%|█▊ | 4/22 [00:18<00:48, 2.67s/it] 23%|██▎ | 5/22 [00:19<00:30, 1.80s/it] 27%|██▋ | 6/22 [00:19<00:20, 1.28s/it] 32%|███▏ | 7/22 [00:19<00:14, 1.05it/s] 36%|███▋ | 8/22 [00:19<00:10, 1.37it/s] 41%|████ | 9/22 [00:31<00:52, 4.01s/it] 45%|████▌ | 10/22 [00:31<00:34, 2.85s/it] 50%|█████ | 11/22 [00:32<00:26, 2.43s/it] 55%|█████▍ | 12/22 [00:33<00:17, 1.77s/it] 59%|█████▉ | 13/22 [00:33<00:11, 1.31s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.00it/s] 68%|██████▊ | 15/22 [00:33<00:05, 1.29it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.61it/s] 77%|███████▋ | 17/22 [00:44<00:17, 3.48s/it] 82%|████████▏ | 18/22 [00:44<00:10, 2.56s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.91s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.42s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.07s/it]100%|██████████| 22/22 [00:45<00:00, 1.20it/s]100%|██████████| 22/22 [00:45<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5892556960346135 --change-- -0.008796619094965097
Val loss: 0.5911433588374745 --change-- 0.004738911986351013
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 134.67803716659546 seconds.
=======================================================================
Epoch 90/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:12, 9.42s/it] 3%|▎ | 2/66 [00:10<04:48, 4.51s/it] 5%|▍ | 3/66 [00:11<03:05, 2.94s/it] 6%|▌ | 4/66 [00:12<02:16, 2.20s/it] 8%|▊ | 5/66 [00:13<01:49, 1.79s/it] 9%|▉ | 6/66 [00:14<01:32, 1.55s/it] 11%|█ | 7/66 [00:15<01:21, 1.39s/it] 12%|█▏ | 8/66 [00:16<01:14, 1.29s/it] 14%|█▎ | 9/66 [00:17<01:09, 1.22s/it] 15%|█▌ | 10/66 [00:19<01:05, 1.17s/it] 17%|█▋ | 11/66 [00:20<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:21<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:22<00:58, 1.10s/it] 21%|██ | 14/66 [00:23<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:24<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:26<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:27<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:28<00:50, 1.07s/it] 30%|███ | 20/66 [00:29<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:30<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:31<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:32<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:33<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:42<00:36, 1.07s/it] 50%|█████ | 33/66 [00:43<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:44<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:45<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:46<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:47<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:48<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:49<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:57<00:21, 1.07s/it] 71%|███████ | 47/66 [00:58<00:20, 1.07s/it] 73%|███████▎ | 48/66 [00:59<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:00<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:01<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:02<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:03<00:14, 1.07s/it] 80%|████████ | 53/66 [01:04<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:06<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:07<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:10<00:17, 1.78s/it] 86%|████████▋ | 57/66 [01:11<00:14, 1.56s/it] 88%|████████▊ | 58/66 [01:12<00:11, 1.41s/it] 89%|████████▉ | 59/66 [01:13<00:09, 1.31s/it] 91%|█████████ | 60/66 [01:14<00:07, 1.24s/it] 92%|█████████▏| 61/66 [01:15<00:05, 1.19s/it] 94%|█████████▍| 62/66 [01:16<00:04, 1.15s/it] 95%|█████████▌| 63/66 [01:17<00:03, 1.13s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.11s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.10s/it]100%|██████████| 66/66 [01:20<00:00, 1.07it/s]100%|██████████| 66/66 [01:20<00:00, 1.22s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:37, 18.95s/it] 9%|▉ | 2/22 [00:19<02:39, 7.96s/it] 14%|█▎ | 3/22 [00:19<01:24, 4.45s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.80s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.88s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.33s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.02it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.32it/s] 41%|████ | 9/22 [00:33<00:57, 4.41s/it] 45%|████▌ | 10/22 [00:33<00:38, 3.18s/it] 50%|█████ | 11/22 [00:33<00:25, 2.29s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.67s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.25s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.05it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.34it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.67it/s] 77%|███████▋ | 17/22 [00:44<00:15, 3.17s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.30s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.04it/s]100%|██████████| 22/22 [00:45<00:00, 1.33it/s]100%|██████████| 22/22 [00:45<00:00, 2.08s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5931692805909018 --change-- 0.003913584556288319
Val loss: 0.5920546935363249 --change-- 0.0009113346988504079
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.54144549369812 seconds.
=======================================================================
Epoch 91/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:12<14:02, 12.97s/it] 3%|▎ | 2/66 [00:14<06:21, 5.97s/it] 5%|▍ | 3/66 [00:15<03:55, 3.73s/it] 6%|▌ | 4/66 [00:16<02:46, 2.68s/it] 8%|▊ | 5/66 [00:17<02:08, 2.10s/it] 9%|▉ | 6/66 [00:18<01:44, 1.75s/it] 11%|█ | 7/66 [00:19<01:30, 1.53s/it] 12%|█▏ | 8/66 [00:20<01:20, 1.38s/it] 14%|█▎ | 9/66 [00:21<01:13, 1.28s/it] 15%|█▌ | 10/66 [00:22<01:08, 1.22s/it] 17%|█▋ | 11/66 [00:23<01:04, 1.17s/it] 18%|█▊ | 12/66 [00:24<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:25<00:59, 1.12s/it] 21%|██ | 14/66 [00:26<00:57, 1.10s/it] 23%|██▎ | 15/66 [00:27<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:28<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:30<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:31<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:32<00:50, 1.07s/it] 30%|███ | 20/66 [00:33<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:36<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:37<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:45<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:46<00:36, 1.07s/it] 50%|█████ | 33/66 [00:47<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:51<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:01<00:21, 1.07s/it] 71%|███████ | 47/66 [01:02<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:17<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:18<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.10it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:46, 19.35s/it] 9%|▉ | 2/22 [00:19<02:42, 8.12s/it] 14%|█▎ | 3/22 [00:19<01:26, 4.54s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.85s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.92s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.36s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.00it/s] 36%|███▋ | 8/22 [00:21<00:10, 1.31it/s] 41%|████ | 9/22 [00:33<00:58, 4.48s/it] 45%|████▌ | 10/22 [00:34<00:38, 3.18s/it] 50%|█████ | 11/22 [00:34<00:25, 2.29s/it] 55%|█████▍ | 12/22 [00:34<00:16, 1.67s/it] 59%|█████▉ | 13/22 [00:34<00:11, 1.25s/it] 64%|██████▎ | 14/22 [00:35<00:07, 1.05it/s] 68%|██████▊ | 15/22 [00:35<00:05, 1.34it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.67it/s] 77%|███████▋ | 17/22 [00:44<00:14, 2.93s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.30s/it] 86%|████████▋ | 19/22 [00:45<00:05, 1.69s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.26s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.04it/s]100%|██████████| 22/22 [00:45<00:00, 1.33it/s]100%|██████████| 22/22 [00:45<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5957420984752305 --change-- 0.0025728178843287264
Val loss: 0.5873986022038893 --change-- -0.004656091332435608
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 130.0753197669983 seconds.
=======================================================================
Epoch 92/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<09:07, 8.42s/it] 3%|▎ | 2/66 [00:11<05:35, 5.25s/it] 5%|▍ | 3/66 [00:12<03:30, 3.34s/it] 6%|▌ | 4/66 [00:13<02:31, 2.44s/it] 8%|▊ | 5/66 [00:14<01:58, 1.95s/it] 9%|▉ | 6/66 [00:15<01:38, 1.65s/it] 11%|█ | 7/66 [00:16<01:26, 1.46s/it] 12%|█▏ | 8/66 [00:17<01:17, 1.33s/it] 14%|█▎ | 9/66 [00:18<01:11, 1.25s/it] 15%|█▌ | 10/66 [00:22<01:48, 1.94s/it] 17%|█▋ | 11/66 [00:23<01:31, 1.67s/it] 18%|█▊ | 12/66 [00:24<01:20, 1.49s/it] 20%|█▉ | 13/66 [00:25<01:12, 1.36s/it] 21%|██ | 14/66 [00:26<01:06, 1.27s/it] 23%|██▎ | 15/66 [00:27<01:01, 1.21s/it] 24%|██▍ | 16/66 [00:28<00:58, 1.17s/it] 26%|██▌ | 17/66 [00:29<00:55, 1.14s/it] 27%|██▋ | 18/66 [00:30<00:53, 1.12s/it] 29%|██▉ | 19/66 [00:32<00:51, 1.10s/it] 30%|███ | 20/66 [00:33<00:50, 1.09s/it] 32%|███▏ | 21/66 [00:34<00:48, 1.09s/it] 33%|███▎ | 22/66 [00:35<00:47, 1.08s/it] 35%|███▍ | 23/66 [00:36<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:37<00:45, 1.07s/it] 38%|███▊ | 25/66 [00:38<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:48<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:49<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:50<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:51<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.08s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:03<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:04<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:05<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:06<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:07<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:19<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:20<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:21<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.09it/s]100%|██████████| 66/66 [01:21<00:00, 1.24s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:50, 19.56s/it] 9%|▉ | 2/22 [00:19<02:44, 8.21s/it] 14%|█▎ | 3/22 [00:20<01:27, 4.58s/it] 18%|█▊ | 4/22 [00:20<00:51, 2.88s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.94s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.37s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.01s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.30it/s] 41%|████ | 9/22 [00:32<00:53, 4.08s/it] 45%|████▌ | 10/22 [00:33<00:34, 2.90s/it] 50%|█████ | 11/22 [00:33<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:33<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.15s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:43<00:15, 3.13s/it] 82%|████████▏ | 18/22 [00:43<00:09, 2.27s/it] 86%|████████▋ | 19/22 [00:44<00:04, 1.67s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.25s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.05it/s]100%|██████████| 22/22 [00:45<00:00, 1.34it/s]100%|██████████| 22/22 [00:45<00:00, 2.05s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.6095238250630503 --change-- 0.013781726587819731
Val loss: 0.5866593813354318 --change-- -0.0007392208684574575
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 128.93489933013916 seconds.
=======================================================================
Epoch 93/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:07, 9.34s/it] 3%|▎ | 2/66 [00:10<04:46, 4.48s/it] 5%|▍ | 3/66 [00:11<03:03, 2.92s/it] 6%|▌ | 4/66 [00:12<02:15, 2.19s/it] 8%|▊ | 5/66 [00:13<01:48, 1.78s/it] 9%|▉ | 6/66 [00:14<01:32, 1.54s/it] 11%|█ | 7/66 [00:15<01:21, 1.39s/it] 12%|█▏ | 8/66 [00:16<01:14, 1.29s/it] 14%|█▎ | 9/66 [00:17<01:09, 1.22s/it] 15%|█▌ | 10/66 [00:18<01:05, 1.17s/it] 17%|█▋ | 11/66 [00:20<01:02, 1.14s/it] 18%|█▊ | 12/66 [00:21<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:22<00:58, 1.10s/it] 21%|██ | 14/66 [00:23<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:24<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:26<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:27<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:28<00:50, 1.07s/it] 30%|███ | 20/66 [00:29<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:30<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:31<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:32<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:33<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:34<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:42<00:36, 1.07s/it] 50%|█████ | 33/66 [00:43<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:44<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:45<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:46<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:47<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:48<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:49<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:57<00:21, 1.07s/it] 71%|███████ | 47/66 [00:58<00:20, 1.07s/it] 73%|███████▎ | 48/66 [00:59<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:00<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:01<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:02<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:03<00:14, 1.07s/it] 80%|████████ | 53/66 [01:04<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:05<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:07<00:12, 1.15s/it] 85%|████████▍ | 56/66 [01:08<00:11, 1.13s/it] 86%|████████▋ | 57/66 [01:09<00:09, 1.11s/it] 88%|████████▊ | 58/66 [01:10<00:08, 1.10s/it] 89%|████████▉ | 59/66 [01:11<00:07, 1.09s/it] 91%|█████████ | 60/66 [01:12<00:06, 1.08s/it] 92%|█████████▏| 61/66 [01:13<00:05, 1.08s/it] 94%|█████████▍| 62/66 [01:14<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:15<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:16<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:17<00:01, 1.07s/it]100%|██████████| 66/66 [01:18<00:00, 1.09it/s]100%|██████████| 66/66 [01:18<00:00, 1.19s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:18<06:26, 18.40s/it] 9%|▉ | 2/22 [00:18<02:36, 7.85s/it] 14%|█▎ | 3/22 [00:19<01:23, 4.39s/it] 18%|█▊ | 4/22 [00:19<00:49, 2.76s/it] 23%|██▎ | 5/22 [00:19<00:31, 1.86s/it] 27%|██▋ | 6/22 [00:19<00:21, 1.32s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.03it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.34it/s] 41%|████ | 9/22 [00:30<00:47, 3.63s/it] 45%|████▌ | 10/22 [00:36<00:52, 4.34s/it] 50%|█████ | 11/22 [00:36<00:34, 3.09s/it] 55%|█████▍ | 12/22 [00:36<00:22, 2.23s/it] 59%|█████▉ | 13/22 [00:37<00:14, 1.64s/it] 64%|██████▎ | 14/22 [00:37<00:09, 1.22s/it] 68%|██████▊ | 15/22 [00:37<00:06, 1.07it/s] 73%|███████▎ | 16/22 [00:37<00:04, 1.36it/s] 77%|███████▋ | 17/22 [00:41<00:08, 1.65s/it] 82%|████████▏ | 18/22 [00:44<00:08, 2.11s/it] 86%|████████▋ | 19/22 [00:45<00:04, 1.56s/it] 91%|█████████ | 20/22 [00:45<00:02, 1.17s/it] 95%|█████████▌| 21/22 [00:45<00:00, 1.11it/s]100%|██████████| 22/22 [00:45<00:00, 1.41it/s]100%|██████████| 22/22 [00:45<00:00, 2.09s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5956214884765275 --change-- -0.013902336586522734
Val loss: 0.5927286297082901 --change-- 0.006069248372858271
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 126.62690877914429 seconds.
=======================================================================
Epoch 94/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:10<11:14, 10.37s/it] 3%|▎ | 2/66 [00:11<05:13, 4.90s/it] 5%|▍ | 3/66 [00:12<03:18, 3.15s/it] 6%|▌ | 4/66 [00:13<02:24, 2.33s/it] 8%|▊ | 5/66 [00:14<01:54, 1.87s/it] 9%|▉ | 6/66 [00:15<01:35, 1.60s/it] 11%|█ | 7/66 [00:16<01:24, 1.43s/it] 12%|█▏ | 8/66 [00:17<01:16, 1.31s/it] 14%|█▎ | 9/66 [00:18<01:10, 1.24s/it] 15%|█▌ | 10/66 [00:19<01:06, 1.18s/it] 17%|█▋ | 11/66 [00:21<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:24<01:35, 1.77s/it] 20%|█▉ | 13/66 [00:25<01:22, 1.56s/it] 21%|██ | 14/66 [00:26<01:13, 1.41s/it] 23%|██▎ | 15/66 [00:27<01:06, 1.31s/it] 24%|██▍ | 16/66 [00:28<01:01, 1.24s/it] 26%|██▌ | 17/66 [00:29<00:58, 1.18s/it] 27%|██▋ | 18/66 [00:30<00:55, 1.15s/it] 29%|██▉ | 19/66 [00:31<00:52, 1.12s/it] 30%|███ | 20/66 [00:32<00:50, 1.11s/it] 32%|███▏ | 21/66 [00:33<00:49, 1.10s/it] 33%|███▎ | 22/66 [00:34<00:47, 1.09s/it] 35%|███▍ | 23/66 [00:35<00:46, 1.08s/it] 36%|███▋ | 24/66 [00:37<00:45, 1.08s/it] 38%|███▊ | 25/66 [00:38<00:44, 1.07s/it] 39%|███▉ | 26/66 [00:39<00:42, 1.07s/it] 41%|████ | 27/66 [00:40<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:41<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:42<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:43<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:44<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:45<00:36, 1.07s/it] 50%|█████ | 33/66 [00:46<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:47<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:48<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:49<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:50<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:52<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:53<00:28, 1.07s/it] 61%|██████ | 40/66 [00:54<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:55<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:56<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:57<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:58<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:59<00:22, 1.07s/it] 70%|██████▉ | 46/66 [01:00<00:21, 1.07s/it] 71%|███████ | 47/66 [01:01<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:02<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:03<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:04<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:05<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:06<00:14, 1.07s/it] 80%|████████ | 53/66 [01:08<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:09<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:10<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:11<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:12<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:13<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:14<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:15<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:16<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:17<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:18<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:19<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:20<00:01, 1.07s/it]100%|██████████| 66/66 [01:21<00:00, 1.10it/s]100%|██████████| 66/66 [01:21<00:00, 1.23s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:41, 19.13s/it] 9%|▉ | 2/22 [00:19<02:40, 8.03s/it] 14%|█▎ | 3/22 [00:19<01:25, 4.49s/it] 18%|█▊ | 4/22 [00:19<00:50, 2.82s/it] 23%|██▎ | 5/22 [00:20<00:32, 1.90s/it] 27%|██▋ | 6/22 [00:20<00:21, 1.34s/it] 32%|███▏ | 7/22 [00:20<00:14, 1.01it/s] 36%|███▋ | 8/22 [00:20<00:10, 1.31it/s] 41%|████ | 9/22 [00:32<00:53, 4.09s/it] 45%|████▌ | 10/22 [00:32<00:34, 2.91s/it] 50%|█████ | 11/22 [00:32<00:23, 2.10s/it] 55%|█████▍ | 12/22 [00:33<00:15, 1.54s/it] 59%|█████▉ | 13/22 [00:33<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:33<00:07, 1.13it/s] 68%|██████▊ | 15/22 [00:33<00:04, 1.43it/s] 73%|███████▎ | 16/22 [00:34<00:03, 1.76it/s] 77%|███████▋ | 17/22 [00:43<00:16, 3.28s/it] 82%|████████▏ | 18/22 [00:44<00:09, 2.41s/it] 86%|████████▋ | 19/22 [00:44<00:05, 1.77s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.32s/it] 95%|█████████▌| 21/22 [00:45<00:01, 1.00s/it]100%|██████████| 22/22 [00:45<00:00, 1.28it/s]100%|██████████| 22/22 [00:45<00:00, 2.06s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5942773673370594 --change-- -0.0013441211394681352
Val loss: 0.5870030833916231 --change-- -0.005725546316666996
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
Process 0 took 129.11836910247803 seconds.
=======================================================================
Epoch 95/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:08<08:48, 8.13s/it] 3%|▎ | 2/66 [00:10<04:48, 4.51s/it] 5%|▍ | 3/66 [00:11<03:05, 2.94s/it] 6%|▌ | 4/66 [00:12<02:16, 2.20s/it] 8%|▊ | 5/66 [00:14<02:11, 2.16s/it] 9%|▉ | 6/66 [00:15<01:47, 1.79s/it] 11%|█ | 7/66 [00:16<01:31, 1.55s/it] 12%|█▏ | 8/66 [00:17<01:21, 1.40s/it] 14%|█▎ | 9/66 [00:18<01:13, 1.30s/it] 15%|█▌ | 10/66 [00:19<01:08, 1.23s/it] 17%|█▋ | 11/66 [00:20<01:04, 1.18s/it] 18%|█▊ | 12/66 [00:21<01:01, 1.14s/it] 20%|█▉ | 13/66 [00:22<00:59, 1.12s/it] 21%|██ | 14/66 [00:23<00:57, 1.11s/it] 23%|██▎ | 15/66 [00:25<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:26<00:54, 1.09s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.08s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:41<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:42<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:57<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:06<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:07<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:08<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:09<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:10<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:12<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:13<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:18<00:01, 1.07s/it]100%|██████████| 66/66 [01:18<00:00, 1.09it/s]100%|██████████| 66/66 [01:18<00:00, 1.20s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:19<06:57, 19.88s/it] 9%|▉ | 2/22 [00:20<02:46, 8.34s/it] 14%|█▎ | 3/22 [00:20<01:28, 4.65s/it] 18%|█▊ | 4/22 [00:20<00:52, 2.92s/it] 23%|██▎ | 5/22 [00:20<00:33, 1.96s/it] 27%|██▋ | 6/22 [00:21<00:22, 1.39s/it] 32%|███▏ | 7/22 [00:21<00:15, 1.02s/it] 36%|███▋ | 8/22 [00:21<00:10, 1.28it/s] 41%|████ | 9/22 [00:33<00:53, 4.13s/it] 45%|████▌ | 10/22 [00:33<00:35, 2.94s/it] 50%|█████ | 11/22 [00:33<00:23, 2.12s/it] 55%|█████▍ | 12/22 [00:34<00:15, 1.56s/it] 59%|█████▉ | 13/22 [00:34<00:10, 1.16s/it] 64%|██████▎ | 14/22 [00:34<00:07, 1.12it/s] 68%|██████▊ | 15/22 [00:34<00:04, 1.42it/s] 73%|███████▎ | 16/22 [00:35<00:03, 1.75it/s] 77%|███████▋ | 17/22 [00:43<00:14, 2.80s/it] 82%|████████▏ | 18/22 [00:43<00:08, 2.21s/it] 86%|████████▋ | 19/22 [00:44<00:04, 1.62s/it] 91%|█████████ | 20/22 [00:44<00:02, 1.22s/it] 95%|█████████▌| 21/22 [00:44<00:00, 1.07it/s]100%|██████████| 22/22 [00:44<00:00, 1.37it/s]100%|██████████| 22/22 [00:44<00:00, 2.04s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5883227118099009 --change-- -0.005954655527158459
Val loss: 0.5810157250274312 --change-- -0.0059873583641919526
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0
That is a new best epoch, saving the state!
Process 0 took 128.12814950942993 seconds.
=======================================================================
Epoch 96/99 running...
0%| | 0/66 [00:00<?, ?it/s] 2%|▏ | 1/66 [00:09<10:28, 9.68s/it] 3%|▎ | 2/66 [00:11<05:05, 4.77s/it] 5%|▍ | 3/66 [00:12<03:13, 3.08s/it] 6%|▌ | 4/66 [00:13<02:21, 2.28s/it] 8%|▊ | 5/66 [00:14<01:52, 1.85s/it] 9%|▉ | 6/66 [00:15<01:34, 1.58s/it] 11%|█ | 7/66 [00:16<01:23, 1.41s/it] 12%|█▏ | 8/66 [00:17<01:15, 1.30s/it] 14%|█▎ | 9/66 [00:18<01:10, 1.23s/it] 15%|█▌ | 10/66 [00:19<01:06, 1.18s/it] 17%|█▋ | 11/66 [00:20<01:03, 1.15s/it] 18%|█▊ | 12/66 [00:21<01:00, 1.12s/it] 20%|█▉ | 13/66 [00:22<00:58, 1.11s/it] 21%|██ | 14/66 [00:23<00:56, 1.09s/it] 23%|██▎ | 15/66 [00:24<00:55, 1.09s/it] 24%|██▍ | 16/66 [00:25<00:54, 1.08s/it] 26%|██▌ | 17/66 [00:27<00:52, 1.08s/it] 27%|██▋ | 18/66 [00:28<00:51, 1.07s/it] 29%|██▉ | 19/66 [00:29<00:50, 1.07s/it] 30%|███ | 20/66 [00:30<00:49, 1.07s/it] 32%|███▏ | 21/66 [00:31<00:48, 1.07s/it] 33%|███▎ | 22/66 [00:32<00:47, 1.07s/it] 35%|███▍ | 23/66 [00:33<00:45, 1.07s/it] 36%|███▋ | 24/66 [00:34<00:44, 1.07s/it] 38%|███▊ | 25/66 [00:35<00:43, 1.07s/it] 39%|███▉ | 26/66 [00:36<00:42, 1.07s/it] 41%|████ | 27/66 [00:37<00:41, 1.07s/it] 42%|████▏ | 28/66 [00:38<00:40, 1.07s/it] 44%|████▍ | 29/66 [00:39<00:39, 1.07s/it] 45%|████▌ | 30/66 [00:40<00:38, 1.07s/it] 47%|████▋ | 31/66 [00:41<00:37, 1.07s/it] 48%|████▊ | 32/66 [00:43<00:36, 1.07s/it] 50%|█████ | 33/66 [00:44<00:35, 1.07s/it] 52%|█████▏ | 34/66 [00:45<00:34, 1.07s/it] 53%|█████▎ | 35/66 [00:46<00:33, 1.07s/it] 55%|█████▍ | 36/66 [00:47<00:32, 1.07s/it] 56%|█████▌ | 37/66 [00:48<00:30, 1.07s/it] 58%|█████▊ | 38/66 [00:49<00:29, 1.07s/it] 59%|█████▉ | 39/66 [00:50<00:28, 1.07s/it] 61%|██████ | 40/66 [00:51<00:27, 1.07s/it] 62%|██████▏ | 41/66 [00:52<00:26, 1.07s/it] 64%|██████▎ | 42/66 [00:53<00:25, 1.07s/it] 65%|██████▌ | 43/66 [00:54<00:24, 1.07s/it] 67%|██████▋ | 44/66 [00:55<00:23, 1.07s/it] 68%|██████▊ | 45/66 [00:56<00:22, 1.07s/it] 70%|██████▉ | 46/66 [00:58<00:21, 1.07s/it] 71%|███████ | 47/66 [00:59<00:20, 1.07s/it] 73%|███████▎ | 48/66 [01:00<00:19, 1.07s/it] 74%|███████▍ | 49/66 [01:01<00:18, 1.07s/it] 76%|███████▌ | 50/66 [01:02<00:17, 1.07s/it] 77%|███████▋ | 51/66 [01:03<00:16, 1.07s/it] 79%|███████▉ | 52/66 [01:04<00:14, 1.07s/it] 80%|████████ | 53/66 [01:05<00:13, 1.07s/it] 82%|████████▏ | 54/66 [01:06<00:12, 1.07s/it] 83%|████████▎ | 55/66 [01:07<00:11, 1.07s/it] 85%|████████▍ | 56/66 [01:08<00:10, 1.07s/it] 86%|████████▋ | 57/66 [01:09<00:09, 1.07s/it] 88%|████████▊ | 58/66 [01:10<00:08, 1.07s/it] 89%|████████▉ | 59/66 [01:11<00:07, 1.07s/it] 91%|█████████ | 60/66 [01:12<00:06, 1.07s/it] 92%|█████████▏| 61/66 [01:14<00:05, 1.07s/it] 94%|█████████▍| 62/66 [01:15<00:04, 1.07s/it] 95%|█████████▌| 63/66 [01:16<00:03, 1.07s/it] 97%|█████████▋| 64/66 [01:17<00:02, 1.07s/it] 98%|█████████▊| 65/66 [01:18<00:01, 1.07s/it]100%|██████████| 66/66 [01:18<00:00, 1.09it/s]100%|██████████| 66/66 [01:18<00:00, 1.19s/it]
0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:21<07:24, 21.16s/it] 9%|▉ | 2/22 [00:21<02:57, 8.87s/it] 14%|█▎ | 3/22 [00:21<01:33, 4.94s/it] 18%|█▊ | 4/22 [00:21<00:55, 3.10s/it] 23%|██▎ | 5/22 [00:22<00:35, 2.08s/it] 27%|██▋ | 6/22 [00:22<00:23, 1.46s/it] 32%|███▏ | 7/22 [00:22<00:16, 1.07s/it] 36%|███▋ | 8/22 [00:23<00:11, 1.23it/s] 41%|████ | 9/22 [00:35<00:56, 4.36s/it] 45%|████▌ | 10/22 [00:35<00:37, 3.09s/it] 50%|█████ | 11/22 [00:35<00:24, 2.23s/it] 55%|█████▍ | 12/22 [00:35<00:16, 1.63s/it] 59%|█████▉ | 13/22 [00:36<00:10, 1.22s/it] 64%|██████▎ | 14/22 [00:36<00:07, 1.07it/s] 68%|██████▊ | 15/22 [00:36<00:05, 1.37it/s] 73%|███████▎ | 16/22 [00:37<00:03, 1.69it/s] 77%|███████▋ | 17/22 [00:47<00:17, 3.44s/it] 82%|████████▏ | 18/22 [00:47<00:09, 2.49s/it] 86%|████████▋ | 19/22 [00:47<00:05, 1.82s/it] 91%|█████████ | 20/22 [00:47<00:02, 1.35s/it] 95%|█████████▌| 21/22 [00:48<00:01, 1.03s/it]100%|██████████| 22/22 [00:48<00:00, 1.25it/s]100%|██████████| 22/22 [00:48<00:00, 2.20s/it]
Logged network structure.
Learning rate: 0.001
Train loss: 0.5976577801558808 --change-- 0.009335068345979858
Val loss: 0.5847725326364691 --change-- 0.00375680760903796
Val accuracy: 0.7272727489471436 --change-- 0.0 Train accuracy: 0.7251908183097839 --change-- 0.0