| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: vit-base-skin | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # vit-base-skin | |
| 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. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4524 | |
| - Accuracy: 0.8705 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 0.0002 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.4987 | 1.0 | 626 | 0.5481 | 0.8031 | | |
| | 0.3814 | 2.0 | 1252 | 0.3804 | 0.8912 | | |
| | 0.3182 | 3.0 | 1878 | 0.3915 | 0.8653 | | |
| | 0.067 | 4.0 | 2504 | 0.4524 | 0.8705 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.13.3 | |