| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/deit-small-patch16-224 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| - recall |
| model-index: |
| - name: deit_fold_2 |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: default |
| split: None |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.9586206896551724 |
| - name: Recall |
| type: recall |
| value: 0.9621148459383753 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # deit_fold_2 |
|
|
| This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1405 |
| - Accuracy: 0.9586 |
| - F1 Score: 0.9620 |
| - Recall: 0.9621 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 150 |
| - num_epochs: 100 |
| - label_smoothing_factor: 0.15 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score | Recall | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:| |
| | 2.8182 | 1.0 | 19 | 2.7982 | 0.2966 | 0.2243 | 0.2444 | |
| | 2.7152 | 2.0 | 38 | 2.6468 | 0.3793 | 0.2689 | 0.3032 | |
| | 2.5094 | 3.0 | 57 | 2.4150 | 0.5241 | 0.4335 | 0.4481 | |
| | 2.1993 | 4.0 | 76 | 2.0760 | 0.7172 | 0.7150 | 0.6964 | |
| | 1.7513 | 5.0 | 95 | 1.7070 | 0.8069 | 0.8177 | 0.8141 | |
| | 1.4469 | 6.0 | 114 | 1.4631 | 0.8586 | 0.8728 | 0.8742 | |
| | 1.2482 | 7.0 | 133 | 1.3515 | 0.8759 | 0.8882 | 0.8890 | |
| | 1.2058 | 8.0 | 152 | 1.3018 | 0.8897 | 0.8990 | 0.8998 | |
| | 1.1470 | 9.0 | 171 | 1.2735 | 0.9069 | 0.9141 | 0.9169 | |
| | 1.0887 | 10.0 | 190 | 1.2533 | 0.9207 | 0.9291 | 0.9306 | |
| | 1.0903 | 11.0 | 209 | 1.2413 | 0.9103 | 0.9182 | 0.9159 | |
| | 1.0576 | 12.0 | 228 | 1.2260 | 0.9207 | 0.9286 | 0.9317 | |
| | 1.0231 | 13.0 | 247 | 1.2594 | 0.9207 | 0.9278 | 0.9303 | |
| | 1.0264 | 14.0 | 266 | 1.2164 | 0.9276 | 0.9339 | 0.9305 | |
| | 1.0175 | 15.0 | 285 | 1.2294 | 0.9241 | 0.9301 | 0.9267 | |
| | 1.0135 | 16.0 | 304 | 1.2143 | 0.9345 | 0.9406 | 0.9402 | |
| | 1.0178 | 17.0 | 323 | 1.2314 | 0.9276 | 0.9351 | 0.9380 | |
| | 0.9823 | 18.0 | 342 | 1.2160 | 0.9310 | 0.9373 | 0.9365 | |
| | 0.9965 | 19.0 | 361 | 1.2154 | 0.9172 | 0.9232 | 0.9206 | |
| | 0.9854 | 20.0 | 380 | 1.1846 | 0.9345 | 0.9411 | 0.9415 | |
| | 0.9807 | 21.0 | 399 | 1.2096 | 0.9345 | 0.9414 | 0.9414 | |
| | 0.9860 | 22.0 | 418 | 1.1996 | 0.9276 | 0.9338 | 0.9316 | |
| | 0.9796 | 23.0 | 437 | 1.1967 | 0.9310 | 0.9365 | 0.9317 | |
| | 0.9826 | 24.0 | 456 | 1.2180 | 0.9172 | 0.9239 | 0.9183 | |
| | 0.9809 | 25.0 | 475 | 1.2030 | 0.9345 | 0.9405 | 0.9378 | |
| | 0.9803 | 26.0 | 494 | 1.1866 | 0.9345 | 0.9403 | 0.9389 | |
| | 0.9748 | 27.0 | 513 | 1.1626 | 0.9448 | 0.9497 | 0.9487 | |
| | 0.9659 | 28.0 | 532 | 1.1405 | 0.9586 | 0.9620 | 0.9621 | |
| | 0.9718 | 29.0 | 551 | 1.1410 | 0.9483 | 0.9525 | 0.9525 | |
| | 0.9668 | 30.0 | 570 | 1.1485 | 0.9552 | 0.9589 | 0.9584 | |
| | 0.9715 | 31.0 | 589 | 1.1423 | 0.9448 | 0.9499 | 0.9502 | |
| | 0.9729 | 32.0 | 608 | 1.1560 | 0.9483 | 0.9535 | 0.9550 | |
| | 0.9766 | 33.0 | 627 | 1.1721 | 0.9483 | 0.9541 | 0.9561 | |
| | 0.9687 | 34.0 | 646 | 1.1706 | 0.9448 | 0.9509 | 0.9524 | |
| | 0.9769 | 35.0 | 665 | 1.1539 | 0.9345 | 0.9410 | 0.9403 | |
| | 0.9609 | 36.0 | 684 | 1.1552 | 0.9483 | 0.9539 | 0.9549 | |
| | 0.9587 | 37.0 | 703 | 1.1565 | 0.9517 | 0.9569 | 0.9597 | |
| | 0.9673 | 38.0 | 722 | 1.1675 | 0.9483 | 0.9537 | 0.9562 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
|
|
