swin-tiny-patch4-window7-224-finetuned-RCC
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3526
- Accuracy: 0.8226
- Precision: 0.9245
- Recall: 0.875
- F1: 0.5829
- Auc: 0.6042
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 0.3296 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.4795 | 2.0 | 14 | 0.3129 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.2503 | 3.0 | 21 | 0.3182 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.2503 | 4.0 | 28 | 0.2973 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.2231 | 5.0 | 35 | 0.3275 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.1791 | 6.0 | 42 | 0.3147 | 0.9032 | 0.9032 | 1.0 | 0.4746 | 0.5 |
| 0.1791 | 7.0 | 49 | 0.3401 | 0.8978 | 0.9071 | 0.9881 | 0.5206 | 0.5218 |
| 0.1361 | 8.0 | 56 | 0.3885 | 0.7849 | 0.9211 | 0.8333 | 0.5529 | 0.5833 |
| 0.1245 | 9.0 | 63 | 0.3192 | 0.8817 | 0.9195 | 0.9524 | 0.6012 | 0.5873 |
| 0.0902 | 10.0 | 70 | 0.3526 | 0.8226 | 0.9245 | 0.875 | 0.5829 | 0.6042 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1