File "/root/test_cifar/train.py", line 143 print(f"Saved Model as {CIFAR_{epoch+1}_end_hll.pt") ^ SyntaxError: f-string: expecting '}' wandb: Currently logged in as: gjyotin305 (gjyotin). Use `wandb login --relogin` to force relogin wandb: Currently logged in as: gjyotin305. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.16.6 wandb: Run data is saved locally in /root/test_cifar/wandb/run-20240418_050322-9t0aeiev wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run feasible-vortex-18 wandb: ⭐️ View project at https://wandb.ai/gjyotin305/CIFAR wandb: 🚀 View run at https://wandb.ai/gjyotin305/CIFAR/runs/9t0aeiev Files already downloaded and verified Files already downloaded and verified /root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( /root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights. warnings.warn(msg) torch.Size([64, 3, 224, 224]) Training Epoch: 1 0%| | 0/782 [00:00 Epoch Number : 1 | Training Loss : 2.228 | Validation Loss : 2.0095 | Validation Accuracy : 48.73% Training Epoch: 2 0%| | 0/782 [00:00 Epoch Number : 2 | Training Loss : 1.4728 | Validation Loss : 0.861 | Validation Accuracy : 77.95% Training Epoch: 3 0%| | 0/782 [00:00 Epoch Number : 3 | Training Loss : 0.7157 | Validation Loss : 0.3831 | Validation Accuracy : 88.34% Training Epoch: 4 0%| | 0/782 [00:00 Epoch Number : 4 | Training Loss : 0.4285 | Validation Loss : 0.254 | Validation Accuracy : 91.75% Training Epoch: 5 0%| | 0/782 [00:00 accuracy_list_normalv5, train_cost_listv5, val_cost_listv5, model_to_save=train_model(model=model_check, File "/root/test_cifar/train.py", line 142, in train_model torch.save(model.state_dict(), f"./logs_model/CIFAR_{epoch+1}_end_hll.pt") File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 628, in save with _open_zipfile_writer(f) as opened_zipfile: File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 502, in _open_zipfile_writer return container(name_or_buffer) File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 473, in __init__ super().__init__(torch._C.PyTorchFileWriter(self.name)) RuntimeError: Parent directory ./logs_model does not exist. wandb: - 0.007 MB of 0.007 MB uploaded wandb: \ 0.007 MB of 0.011 MB uploaded wandb: | 0.012 MB of 0.012 MB uploaded wandb: / 0.012 MB of 0.012 MB uploaded wandb: wandb: Run history: wandb: train_loss ███████▇▇▆▆▆▅▄▅▄▃▄▄▃▂▂▂▂▂▂▂▁▁▂▂▂▂▁▁▂▂▂▂▂ wandb: val_acc ▁▆▇██ wandb: val_loss ████████▄▄▃▃▄▄▄▄▃▂▂▂▂▂▂▂▁▁▂▁▁▂▁▂▂▂▁▁▂▁▁▁ wandb: wandb: Run summary: wandb: train_loss 0.44522 wandb: val_acc 0.9332 wandb: val_loss 0.09327 wandb: wandb: 🚀 View run feasible-vortex-18 at: https://wandb.ai/gjyotin305/CIFAR/runs/9t0aeiev wandb: ⭐️ View project at: https://wandb.ai/gjyotin305/CIFAR wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) wandb: Find logs at: ./wandb/run-20240418_050322-9t0aeiev/logs wandb: Currently logged in as: gjyotin305 (gjyotin). Use `wandb login --relogin` to force relogin wandb: Currently logged in as: gjyotin305. Use `wandb login --relogin` to force relogin wandb: Tracking run with wandb version 0.16.6 wandb: Run data is saved locally in /root/test_cifar/wandb/run-20240418_051545-08ne5f0a wandb: Run `wandb offline` to turn off syncing. wandb: Syncing run atomic-valley-19 wandb: ⭐️ View project at https://wandb.ai/gjyotin305/CIFAR wandb: 🚀 View run at https://wandb.ai/gjyotin305/CIFAR/runs/08ne5f0a Files already downloaded and verified Files already downloaded and verified /root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( /root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights. warnings.warn(msg) torch.Size([64, 3, 224, 224]) Training Epoch: 1 0%| | 0/782 [00:00 Epoch Number : 1 | Training Loss : 2.1929 | Validation Loss : 1.9084 | Validation Accuracy : 42.66% Training Epoch: 2 0%| | 0/782 [00:00 Epoch Number : 2 | Training Loss : 1.4313 | Validation Loss : 0.8592 | Validation Accuracy : 77.91% Training Epoch: 3 0%| | 0/782 [00:00 Epoch Number : 3 | Training Loss : 0.6905 | Validation Loss : 0.3537 | Validation Accuracy : 89.08% Training Epoch: 4 0%| | 0/782 [00:00 Epoch Number : 4 | Training Loss : 0.409 | Validation Loss : 0.2445 | Validation Accuracy : 92.23% Training Epoch: 5 0%| | 0/782 [00:00 Epoch Number : 5 | Training Loss : 0.3187 | Validation Loss : 0.2026 | Validation Accuracy : 93.39% Training Epoch: 6 0%| | 0/782 [00:00 Epoch Number : 6 | Training Loss : 0.2652 | Validation Loss : 0.1752 | Validation Accuracy : 94.18% Training Epoch: 7 0%| | 0/782 [00:00 Epoch Number : 7 | Training Loss : 0.2365 | Validation Loss : 0.1591 | Validation Accuracy : 94.61% Training Epoch: 8 0%| | 0/782 [00:00 Epoch Number : 8 | Training Loss : 0.2119 | Validation Loss : 0.1574 | Validation Accuracy : 94.65% Training Epoch: 9 0%| | 0/782 [00:00 Epoch Number : 9 | Training Loss : 0.1947 | Validation Loss : 0.1444 | Validation Accuracy : 95.08% Training Epoch: 10 0%| | 0/782 [00:00 Epoch Number : 10 | Training Loss : 0.1801 | Validation Loss : 0.1376 | Validation Accuracy : 95.34% Training Epoch: 11 0%| | 0/782 [00:00 Epoch Number : 11 | Training Loss : 0.168 | Validation Loss : 0.136 | Validation Accuracy : 95.31% Training Epoch: 12 0%| | 0/782 [00:00 Epoch Number : 12 | Training Loss : 0.1564 | Validation Loss : 0.1333 | Validation Accuracy : 95.47% Training Epoch: 13 0%| | 0/782 [00:00 Epoch Number : 13 | Training Loss : 0.1467 | Validation Loss : 0.1262 | Validation Accuracy : 95.63% Training Epoch: 14 0%| | 0/782 [00:00 Epoch Number : 14 | Training Loss : 0.1386 | Validation Loss : 0.1238 | Validation Accuracy : 95.71% Training Epoch: 15 0%| | 0/782 [00:00 Epoch Number : 15 | Training Loss : 0.127 | Validation Loss : 0.1211 | Validation Accuracy : 95.78% Training Epoch: 16 0%| | 0/782 [00:00 Epoch Number : 16 | Training Loss : 0.1234 | Validation Loss : 0.1193 | Validation Accuracy : 95.98% Training Epoch: 17 0%| | 0/782 [00:00 Epoch Number : 17 | Training Loss : 0.1167 | Validation Loss : 0.1156 | Validation Accuracy : 96.05% Training Epoch: 18 0%| | 0/782 [00:00 Epoch Number : 18 | Training Loss : 0.1092 | Validation Loss : 0.1163 | Validation Accuracy : 96.05% Training Epoch: 19 0%| | 0/782 [00:00 Epoch Number : 19 | Training Loss : 0.1039 | Validation Loss : 0.1147 | Validation Accuracy : 96.14% Training Epoch: 20 0%| | 0/782 [00:00 Epoch Number : 20 | Training Loss : 0.0985 | Validation Loss : 0.1175 | Validation Accuracy : 96.12% Training Epoch: 21 0%| | 0/782 [00:00 Epoch Number : 21 | Training Loss : 0.0947 | Validation Loss : 0.1182 | Validation Accuracy : 96.0% Training Epoch: 22 0%| | 0/782 [00:00 Epoch Number : 22 | Training Loss : 0.0923 | Validation Loss : 0.1202 | Validation Accuracy : 96.06% Training Epoch: 23 0%| | 0/782 [00:00 Epoch Number : 23 | Training Loss : 0.0841 | Validation Loss : 0.122 | Validation Accuracy : 96.03% Training Epoch: 24 0%| | 0/782 [00:00 Epoch Number : 24 | Training Loss : 0.0808 | Validation Loss : 0.1121 | Validation Accuracy : 96.41% Training Epoch: 25 0%| | 0/782 [00:00 Epoch Number : 25 | Training Loss : 0.0792 | Validation Loss : 0.1144 | Validation Accuracy : 96.4% Training Epoch: 26 0%| | 0/782 [00:00 Epoch Number : 26 | Training Loss : 0.0766 | Validation Loss : 0.1179 | Validation Accuracy : 96.12% Training Epoch: 27 0%| | 0/782 [00:00 Epoch Number : 27 | Training Loss : 0.0757 | Validation Loss : 0.1139 | Validation Accuracy : 96.38% Training Epoch: 28 0%| | 0/782 [00:00 Epoch Number : 28 | Training Loss : 0.0671 | Validation Loss : 0.1123 | Validation Accuracy : 96.36% Training Epoch: 29 0%| | 0/782 [00:00 Epoch Number : 29 | Training Loss : 0.0645 | Validation Loss : 0.1122 | Validation Accuracy : 96.45% Training Epoch: 30 0%| | 0/782 [00:00 Epoch Number : 30 | Training Loss : 0.0666 | Validation Loss : 0.111 | Validation Accuracy : 96.6% Training Epoch: 31 0%| | 0/782 [00:00 Epoch Number : 31 | Training Loss : 0.0631 | Validation Loss : 0.1077 | Validation Accuracy : 96.57% Training Epoch: 32 0%| | 0/782 [00:00 Epoch Number : 32 | Training Loss : 0.0595 | Validation Loss : 0.1104 | Validation Accuracy : 96.59% Training Epoch: 33 0%| | 0/782 [00:00 Epoch Number : 33 | Training Loss : 0.0585 | Validation Loss : 0.1098 | Validation Accuracy : 96.44% Training Epoch: 34 0%| | 0/782 [00:00 Epoch Number : 34 | Training Loss : 0.055 | Validation Loss : 0.1134 | Validation Accuracy : 96.5% Training Epoch: 35 0%| | 0/782 [00:00 Epoch Number : 35 | Training Loss : 0.0539 | Validation Loss : 0.1116 | Validation Accuracy : 96.49% Training Epoch: 36 0%| | 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Training Loss : 0.0398 | Validation Loss : 0.1155 | Validation Accuracy : 96.53% Training Epoch: 44 0%| | 0/782 [00:00 Epoch Number : 44 | Training Loss : 0.0385 | Validation Loss : 0.1115 | Validation Accuracy : 96.86% Training Epoch: 45 0%| | 0/782 [00:00 Epoch Number : 45 | Training Loss : 0.0397 | Validation Loss : 0.1125 | Validation Accuracy : 96.89% Training Epoch: 46 0%| | 0/782 [00:00 Epoch Number : 46 | Training Loss : 0.0358 | Validation Loss : 0.1097 | Validation Accuracy : 96.69% Training Epoch: 47 0%| | 0/782 [00:00 Epoch Number : 47 | Training Loss : 0.0363 | Validation Loss : 0.1124 | Validation Accuracy : 96.68% Training Epoch: 48 0%| | 0/782 [00:00 Epoch Number : 48 | Training Loss : 0.0367 | Validation Loss : 0.1113 | Validation Accuracy : 96.76% Training Epoch: 49 0%| | 0/782 [00:00 Epoch Number : 49 | Training Loss : 0.0356 | Validation Loss : 0.1121 | Validation Accuracy : 96.77% Training Epoch: 50 0%| | 0/782 [00:00 Epoch Number : 50 | Training Loss : 0.0333 | 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Validation Accuracy : 96.87% Training Epoch: 58 0%| | 0/782 [00:00 Epoch Number : 58 | Training Loss : 0.0298 | Validation Loss : 0.1173 | Validation Accuracy : 96.98% Training Epoch: 59 0%| | 0/782 [00:00 Epoch Number : 59 | Training Loss : 0.0261 | Validation Loss : 0.1109 | Validation Accuracy : 96.86% Training Epoch: 60 0%| | 0/782 [00:00 Epoch Number : 60 | Training Loss : 0.0267 | Validation Loss : 0.1149 | Validation Accuracy : 96.72% Training Epoch: 61 0%| | 0/782 [00:00 Epoch Number : 61 | Training Loss : 0.0255 | Validation Loss : 0.1132 | Validation Accuracy : 96.88% Training Epoch: 62 0%| | 0/782 [00:00 Epoch Number : 62 | Training Loss : 0.0267 | Validation Loss : 0.1155 | Validation Accuracy : 96.85% Training Epoch: 63 0%| | 0/782 [00:00 Epoch Number : 63 | Training Loss : 0.0247 | Validation Loss : 0.1124 | Validation Accuracy : 96.94% Training Epoch: 64 0%| | 0/782 [00:00 Epoch Number : 64 | Training Loss : 0.0246 | Validation Loss : 0.112 | Validation Accuracy : 96.99% Training Epoch: 65 0%| | 0/782 [00:00 Epoch Number : 65 | Training Loss : 0.0262 | Validation Loss : 0.1114 | Validation Accuracy : 96.84% Training Epoch: 66 0%| | 0/782 [00:00 Epoch Number : 66 | Training Loss : 0.0238 | Validation Loss : 0.1129 | Validation Accuracy : 97.09% Training Epoch: 67 0%| | 0/782 [00:00 Epoch Number : 67 | Training Loss : 0.0222 | Validation Loss : 0.1118 | Validation Accuracy : 97.02% Training Epoch: 68 0%| | 0/782 [00:00 Epoch Number : 68 | Training Loss : 0.0224 | Validation Loss : 0.1136 | Validation Accuracy : 96.99% Training Epoch: 69 0%| | 0/782 [00:00 Epoch Number : 69 | Training Loss : 0.023 | Validation Loss : 0.1146 | Validation Accuracy : 96.98% Training Epoch: 70 0%| | 0/782 [00:00 Epoch Number : 70 | Training Loss : 0.0222 | Validation Loss : 0.1162 | Validation Accuracy : 96.92% Training Epoch: 71 0%| | 0/782 [00:00 Epoch Number : 71 | Training Loss : 0.0206 | Validation Loss : 0.1149 | Validation Accuracy : 97.01% Training Epoch: 72 0%| | 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79 | Training Loss : 0.0203 | Validation Loss : 0.1138 | Validation Accuracy : 97.0% Training Epoch: 80 0%| | 0/782 [00:00 Epoch Number : 80 | Training Loss : 0.0197 | Validation Loss : 0.1181 | Validation Accuracy : 97.12% Training Epoch: 81 0%| | 0/782 [00:00 Epoch Number : 81 | Training Loss : 0.02 | Validation Loss : 0.1161 | Validation Accuracy : 96.99% Training Epoch: 82 0%| | 0/782 [00:00 Epoch Number : 82 | Training Loss : 0.0186 | Validation Loss : 0.1208 | Validation Accuracy : 96.91% Training Epoch: 83 0%| | 0/782 [00:00 Epoch Number : 83 | Training Loss : 0.0169 | Validation Loss : 0.1137 | Validation Accuracy : 97.17% Training Epoch: 84 0%| | 0/782 [00:00 Epoch Number : 84 | Training Loss : 0.0169 | Validation Loss : 0.1168 | Validation Accuracy : 97.0% Training Epoch: 85 0%| | 0/782 [00:00 Epoch Number : 85 | Training Loss : 0.0183 | Validation Loss : 0.1166 | Validation Accuracy : 97.09% Training Epoch: 86 0%| | 0/782 [00:00 Epoch Number : 86 | Training Loss : 0.0179 | 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Validation Accuracy : 97.08% Training Epoch: 94 0%| | 0/782 [00:00 Epoch Number : 94 | Training Loss : 0.0138 | Validation Loss : 0.1182 | Validation Accuracy : 97.01% Training Epoch: 95 0%| | 0/782 [00:00 Epoch Number : 95 | Training Loss : 0.0158 | Validation Loss : 0.1163 | Validation Accuracy : 97.16% Training Epoch: 96 0%| | 0/782 [00:00 Epoch Number : 96 | Training Loss : 0.0148 | Validation Loss : 0.1169 | Validation Accuracy : 96.98% Training Epoch: 97 0%| | 0/782 [00:00 Epoch Number : 97 | Training Loss : 0.0148 | Validation Loss : 0.1148 | Validation Accuracy : 97.04% Training Epoch: 98 0%| | 0/782 [00:00 Epoch Number : 98 | Training Loss : 0.0147 | Validation Loss : 0.1183 | Validation Accuracy : 96.95% Training Epoch: 99 0%| | 0/782 [00:00 Epoch Number : 99 | Training Loss : 0.0145 | Validation Loss : 0.1212 | Validation Accuracy : 96.97% Training Epoch: 100 0%| | 0/782 [00:00 Epoch Number : 100 | Training Loss : 0.0156 | Validation Loss : 0.1203 | Validation Accuracy : 97.12% Traceback (most recent call last): File "/root/test_cifar/train.py", line 162, in model.eval() AttributeError: 'collections.OrderedDict' object has no attribute 'eval' wandb: - 0.007 MB of 0.007 MB uploaded wandb: \ 0.007 MB of 0.243 MB uploaded wandb: | 0.243 MB of 0.243 MB uploaded wandb: / 0.243 MB of 0.243 MB uploaded wandb: - 0.243 MB of 0.243 MB uploaded wandb: wandb: Run history: wandb: train_loss █▃▂▃▂▂▁▁▁▁▁▂▁▁▁▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ wandb: val_acc ▁▇██████████████████████████████████████ wandb: val_loss █▁▂▁▁▁▂▁▂▁▁▂▂▂▂▁▁▂▂▁▂▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ wandb: wandb: Run summary: wandb: train_loss 0.06611 wandb: val_acc 0.9712 wandb: val_loss 0.5941 wandb: wandb: 🚀 View run atomic-valley-19 at: https://wandb.ai/gjyotin305/CIFAR/runs/08ne5f0a wandb: ⭐️ View project at: https://wandb.ai/gjyotin305/CIFAR wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) wandb: Find logs at: ./wandb/run-20240418_051545-08ne5f0a/logs