cvt-13-finetuned-AL
This model is a fine-tuned version of microsoft/cvt-13 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.6319
- Accuracy: 0.2619
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2095 | 1.0 | 11 | 2.6973 | 0.1905 |
| 2.1537 | 2.0 | 22 | 2.6885 | 0.1667 |
| 2.3281 | 3.0 | 33 | 2.6838 | 0.1429 |
| 2.3004 | 4.0 | 44 | 2.6759 | 0.1667 |
| 2.3531 | 5.0 | 55 | 2.6765 | 0.1905 |
| 2.4045 | 6.0 | 66 | 2.6647 | 0.1905 |
| 2.3842 | 7.0 | 77 | 2.6552 | 0.2143 |
| 2.4049 | 8.0 | 88 | 2.6505 | 0.2381 |
| 2.3972 | 9.0 | 99 | 2.6470 | 0.2143 |
| 2.4238 | 10.0 | 110 | 2.6428 | 0.2143 |
| 2.4359 | 11.0 | 121 | 2.6429 | 0.1905 |
| 2.4042 | 12.0 | 132 | 2.6383 | 0.2619 |
| 2.4737 | 13.0 | 143 | 2.6364 | 0.2381 |
| 2.4003 | 14.0 | 154 | 2.6280 | 0.2143 |
| 2.382 | 15.0 | 165 | 2.6319 | 0.2619 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0