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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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- f1 |
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- precision |
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- recall |
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base_model: google/vit-base-patch16-224-in21k |
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model-index: |
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- name: vit-focal-skin |
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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-focal-skin |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5830 |
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- Accuracy: 0.8497 |
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- F1: 0.8472 |
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- Precision: 0.8527 |
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- Recall: 0.8497 |
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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: 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 | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.1586 | 1.0 | 626 | 0.3295 | 0.8808 | 0.8764 | 0.9007 | 0.8808 | |
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| 0.096 | 2.0 | 1252 | 0.4315 | 0.8601 | 0.8562 | 0.8600 | 0.8601 | |
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| 0.0181 | 3.0 | 1878 | 0.4395 | 0.8756 | 0.8685 | 0.8799 | 0.8756 | |
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| 0.0058 | 4.0 | 2504 | 0.5563 | 0.8549 | 0.8571 | 0.8653 | 0.8549 | |
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| 0.0004 | 5.0 | 3130 | 0.6044 | 0.8653 | 0.8619 | 0.8688 | 0.8653 | |
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| 0.0003 | 6.0 | 3756 | 0.5830 | 0.8497 | 0.8472 | 0.8527 | 0.8497 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 1.13.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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