| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: microsoft/swinv2-tiny-patch4-window8-256 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| model-index: |
| - name: SwimV3 |
| 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. --> |
|
|
| # SwimV3 |
|
|
| This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5802 |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.7510 | 1.0 | 77 | 0.6857 | |
| | 0.6778 | 2.0 | 154 | 0.7155 | |
| | 0.6506 | 3.0 | 231 | 1.0518 | |
| | 0.6437 | 4.0 | 308 | 0.6993 | |
| | 0.6104 | 5.0 | 385 | 0.7562 | |
| | 0.5939 | 6.0 | 462 | 0.6289 | |
| | 0.5720 | 7.0 | 539 | 0.6105 | |
| | 0.5617 | 8.0 | 616 | 0.5665 | |
| | 0.5571 | 9.0 | 693 | 0.6100 | |
| | 0.5227 | 10.0 | 770 | 0.5802 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.16.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.8.5 |
| - Tokenizers 0.23.1 |
| |
