--- library_name: transformers license: apache-2.0 base_model: microsoft/swin-tiny-patch4-window7-224 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: swin-transformer results: [] --- # swin-transformer This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co./microsoft/swin-tiny-patch4-window7-224) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.7366 - Accuracy: 0.39 - F1: 0.2753 ## 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: 5e-05 - train_batch_size: 96 - eval_batch_size: 96 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 384 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| | No log | 0.7273 | 2 | 2.0766 | 0.3 | 0.2161 | | No log | 1.8182 | 5 | 1.7687 | 0.37 | 0.2461 | | No log | 2.1818 | 6 | 1.7366 | 0.39 | 0.2753 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.0+cu121 - Datasets 3.1.0 - Tokenizers 0.20.1