| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: microsoft/swinv2-tiny-patch4-window8-256 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: logs |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: default |
| split: validation |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9982425307557118 |
| --- |
| |
| <!-- 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. --> |
|
|
| # logs |
|
|
| 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: 0.0098 |
| - Accuracy: 0.9982 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - 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: cosine |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6367 | 1.0 | 83 | 0.4612 | 0.8248 | |
| | 0.4656 | 2.0 | 166 | 0.3608 | 0.8496 | |
| | 0.4911 | 3.0 | 249 | 0.1344 | 0.9646 | |
| | 0.1630 | 4.0 | 332 | 0.1347 | 0.9575 | |
| | 0.1872 | 5.0 | 415 | 0.1106 | 0.9628 | |
| | 0.1801 | 6.0 | 498 | 0.0968 | 0.9823 | |
| | 0.1453 | 7.0 | 581 | 0.1196 | 0.9717 | |
| | 0.0787 | 8.0 | 664 | 0.0838 | 0.9894 | |
| | 0.0353 | 9.0 | 747 | 0.0801 | 0.9912 | |
| | 0.0878 | 10.0 | 830 | 0.0818 | 0.9912 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
