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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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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-skin-demo-v2 |
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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-skin-demo-v2 |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the skin-cancer dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5206 |
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- Accuracy: 0.8027 |
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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: cosine |
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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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| 0.749 | 0.31 | 100 | 0.8017 | 0.7322 | |
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| 0.7376 | 0.62 | 200 | 0.7833 | 0.7210 | |
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| 0.6393 | 0.93 | 300 | 0.7435 | 0.7453 | |
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| 0.6058 | 1.25 | 400 | 0.8366 | 0.7391 | |
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| 0.5794 | 1.56 | 500 | 0.7278 | 0.7597 | |
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| 0.6625 | 1.87 | 600 | 0.6116 | 0.7846 | |
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| 0.5256 | 2.18 | 700 | 0.6108 | 0.7759 | |
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| 0.6053 | 2.49 | 800 | 0.5631 | 0.7965 | |
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| 0.601 | 2.8 | 900 | 0.5206 | 0.8027 | |
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| 0.4709 | 3.12 | 1000 | 0.5477 | 0.8177 | |
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| 0.5498 | 3.43 | 1100 | 0.5426 | 0.8121 | |
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| 0.4196 | 3.74 | 1200 | 0.5652 | 0.8065 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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