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--- |
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license: apache-2.0 |
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tags: |
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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-diabetic-retinopathy-classification |
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results: [] |
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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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# vit-diabetic-retinopathy-classification |
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This model is a fine-tuned version of [Kontawat/vit-diabetic-retinopathy-classification](https://huggingface.co/Kontawat/vit-diabetic-retinopathy-classification) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0460 |
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- Accuracy: 0.7287 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 32 |
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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: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5645 | 0.94 | 100 | 0.7731 | 0.7239 | |
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| 0.3971 | 1.89 | 200 | 0.8123 | 0.7038 | |
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| 0.3239 | 2.83 | 300 | 0.8204 | 0.7239 | |
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| 0.2178 | 3.77 | 400 | 0.9085 | 0.7204 | |
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| 0.18 | 4.72 | 500 | 1.0284 | 0.7310 | |
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| 0.0501 | 5.66 | 600 | 1.0460 | 0.7287 | |
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### Framework versions |
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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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