swin-tiny-patch4-window7-224-finetuned-ibird
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0826
- Accuracy: 0.9796
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.166 | 1.0 | 565 | 0.1148 | 0.9676 |
| 0.0909 | 2.0 | 1131 | 0.0890 | 0.9756 |
| 0.018 | 3.0 | 1696 | 0.0940 | 0.9756 |
| 0.0246 | 4.0 | 2262 | 0.0811 | 0.9791 |
| 0.0175 | 5.0 | 2825 | 0.0826 | 0.9796 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2