swin-tiny-patch4-window7-224-finetuned-crop-classification
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6271
- Accuracy: 0.7468
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7134 | 1.0 | 733 | 0.6852 | 0.7265 |
| 0.6432 | 2.0 | 1467 | 0.6506 | 0.7349 |
| 0.6945 | 3.0 | 2200 | 0.6434 | 0.7415 |
| 0.6312 | 4.0 | 2932 | 0.6271 | 0.7468 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for kashiram/swin-tiny-patch4-window7-224-finetuned-crop-classification
Base model
microsoft/swin-tiny-patch4-window7-224