| license: apache-2.0 | |
| base_model: microsoft/swinv2-base-patch4-window12-192-22k | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - imagefolder | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: swinv2-base-patch4-window12-192-22k-finetuned-lora-ISIC-2019 | |
| 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. --> | |
| # swinv2-base-patch4-window12-192-22k-finetuned-lora-ISIC-2019 | |
| This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on the imagefolder dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4329 | |
| - Accuracy: 0.9160 | |
| - Precision: 0.9157 | |
| - Recall: 0.9160 | |
| - F1: 0.9156 | |
| ## 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: 0.001 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 256 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 100 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.32.1 | |
| - Pytorch 2.0.1 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.2 | |