swin_large-valid-test-reverseFunny7
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12-192-22k on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.7198
- Accuracy: 0.6386
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7415 | 0.52 | 100 | 0.6970 | 0.5792 |
| 0.5244 | 1.05 | 200 | 0.6612 | 0.5990 |
| 0.4581 | 1.57 | 300 | 0.6839 | 0.6064 |
| 0.3844 | 2.09 | 400 | 0.6813 | 0.6213 |
| 0.3265 | 2.62 | 500 | 0.6935 | 0.6312 |
| 0.3282 | 3.14 | 600 | 0.7070 | 0.6287 |
| 0.3569 | 3.66 | 700 | 0.7198 | 0.6386 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3