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vit-diabetic-retinopathy-classification

Image Classification
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vit
generated_from_trainer
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  1. README.md +68 -0
  2. all_results.json +13 -0
  3. checkpoint-600/config.json +38 -0
  4. checkpoint-600/optimizer.pt +3 -0
  5. checkpoint-600/preprocessor_config.json +22 -0
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  9. checkpoint-600/scheduler.pt +3 -0
  10. checkpoint-600/trainer_state.json +430 -0
  11. checkpoint-600/training_args.bin +3 -0
  12. checkpoint-800/config.json +38 -0
  13. checkpoint-800/optimizer.pt +3 -0
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  22. eval_results.json +8 -0
  23. preprocessor_config.json +22 -0
  24. pytorch_model.bin +3 -0
  25. runs/Feb24_15-21-30_27e8a3adc154/1677252096.5539162/events.out.tfevents.1677252096.27e8a3adc154.110.1 +3 -0
  26. runs/Feb24_15-21-30_27e8a3adc154/events.out.tfevents.1677252096.27e8a3adc154.110.0 +3 -0
  27. runs/Feb24_15-21-30_27e8a3adc154/events.out.tfevents.1677254593.27e8a3adc154.110.2 +3 -0
  28. train_results.json +8 -0
  29. trainer_state.json +601 -0
  30. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - image-classification
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: vit-base-beans-demo-v5
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # vit-base-beans-demo-v5
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the diabetic-retinopathy-classification dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7260
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+ - Accuracy: 0.7263
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9235 | 0.47 | 100 | 0.8972 | 0.6493 |
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+ | 0.9253 | 0.95 | 200 | 0.9151 | 0.6635 |
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+ | 0.8371 | 1.42 | 300 | 0.8071 | 0.6931 |
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+ | 0.7355 | 1.9 | 400 | 0.7563 | 0.7073 |
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+ | 0.6532 | 2.37 | 500 | 0.7543 | 0.6896 |
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+ | 0.5982 | 2.84 | 600 | 0.7260 | 0.7263 |
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+ | 0.4276 | 3.32 | 700 | 0.7346 | 0.7239 |
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+ | 0.4935 | 3.79 | 800 | 0.7490 | 0.7133 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.10.0
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+ - Tokenizers 0.13.2
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