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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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<!-- 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-base-beans-demo-v5 |
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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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## 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: 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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### Training results |
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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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### 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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