| | --- |
| | license: apache-2.0 |
| | base_model: microsoft/swinv2-tiny-patch4-window16-256 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: swin-bird |
| | 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. --> |
| |
|
| | # swin-bird |
| |
|
| | This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2848 |
| | - Accuracy: 0.6785 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 3.4164 | 1.0 | 187 | 2.8874 | 0.3279 | |
| | | 1.9819 | 2.0 | 375 | 1.5662 | 0.6060 | |
| | | 1.4373 | 2.99 | 561 | 1.2848 | 0.6785 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.3 |
| | - Pytorch 2.5.1 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.13.3 |
| |
|
