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Runtime error
Runtime error
| title: EraV2s13 Raj | |
| emoji: 📈 | |
| colorFrom: gray | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.28.3 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| ## Assignment 13 | |
| ### What is done and how | |
| First I took Rohan shared input file, S13.ipy that is an S11 reference, where resnet code exists with lots of gradio examples. | |
| Ensured it builds successfully. | |
| Then I replaced the model to my model of S11. | |
| Prepared the code in such a way that on a condition check, the training and save of weights would happen in one path. Otherwise loading the weights, it would perform testing. This weight file is .pth. | |
| Secondly I took Rohan shared input file, cifar10-baseline.ipynb that is an S13 reference, where pytorch lightning code of a working model is present. | |
| Ensured it builds successfully. | |
| Then I replaced the model to my model of S11. | |
| Prepared the code in such a way that on a condition check, the training and save of weights would happen in one path. Otherwise loading the weights, it would perform testing. This weight file is .ckpt. | |
| Thirdly I started working on the gradio with gradcam and made it working for a single image input. | |
| I started working on the gradio with misclassified image display and made it working. | |
| I started working on the gradio with gradcam and made it working for a multiple images taken from cifar 10 misclassified images. | |
| I started working on the gradio with 10 images inputter and made it working. Here it can accept 1 images and display them. Does not do anything further. | |
| I integrated above said three items such as gradcam for multiple images, misclassified images, 10 images input in gradio. It works successfully. | |
| Fourthly I started working on above working code to modularize it so that few py files will hold major part of code. | |
| I started working on HuggingFace and created / updated required files and it is made to be in working state in HuggingFace. | |
| My spaces app has these features: | |
| 1. Asks the user whether he/she wants to see GradCAM images and how many, and from which layer, allow opacity change as well | |
| 2. Asks whether he/she wants to view misclassified images, and how many | |
| 3. Allow users to upload new images, as well as provide 10 example images | |
| In a tabbed interface, gradio framework is used and available for use from HuggingFace. | |
| HuggingFace https://huggingface.co/spaces/raja5259/eraV2s13_raj | |
| Github https://github.com/rajayourfriend/EraV2/ | |
| ### Log of Training | |
| Below is the log of training with pytorch lightning for 26 epochs with 6.6M params and got a test_acc of 91.28% | |
| INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True | |
| INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores | |
| INFO:pytorch_lightning.utilities.rank_zero:IPU available: False, using: 0 IPUs | |
| INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs | |
| Files already downloaded and verified | |
| Files already downloaded and verified | |
| INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | |
| INFO:pytorch_lightning.callbacks.model_summary: | |
| | Name | Type | Params | |
| ---------------------------------- | |
| 0 | model | Net_S13 | 6.6 M | |
| ---------------------------------- | |
| 6.6 M Trainable params | |
| 0 Non-trainable params | |
| 6.6 M Total params | |
| 26.293 Total estimated model params size (MB) | |
| Epoch 25: 100% | |
| 197/197 [00:23<00:00, 8.53it/s, loss=0.0844, v_num=3, val_loss=0.261, val_acc=0.916] | |
| INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=26` reached. | |
| Files already downloaded and verified | |
| Files already downloaded and verified | |
| INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | |
| Testing DataLoader 0: 100% | |
| 40/40 [00:03<00:00, 11.30it/s] | |
| ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ | |
| ┃ Test metric ┃ DataLoader 0 ┃ | |
| ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ | |
| │ test_acc │ 0.9128999710083008 │ | |
| │ test_loss │ 0.2818313539028168 │ | |
| └───────────────────────────┴───────────────────────────┘ | |
| [{'test_loss': 0.2818313539028168, 'test_acc': 0.9128999710083008}] | |