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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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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-images |
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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-images |
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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 marmal88/skin_cancer dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0918 |
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- Accuracy: 0.981 |
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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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| 0.8785 | 0.4 | 100 | 0.7795 | 0.711 | |
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| 0.7076 | 0.8 | 200 | 0.5421 | 0.818 | |
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| 0.4283 | 1.2 | 300 | 0.3951 | 0.876 | |
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| 0.4251 | 1.6 | 400 | 0.3818 | 0.864 | |
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| 0.335 | 2.0 | 500 | 0.2474 | 0.924 | |
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| 0.2286 | 2.4 | 600 | 0.1675 | 0.952 | |
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| 0.1523 | 2.8 | 700 | 0.1641 | 0.954 | |
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| 0.1346 | 3.2 | 800 | 0.1120 | 0.969 | |
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| 0.0638 | 3.6 | 900 | 0.1025 | 0.978 | |
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| 0.0574 | 4.0 | 1000 | 0.0918 | 0.981 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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