metadata
library_name: transformers
license: apache-2.0
base_model: facebook/convnext-tiny-224
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: hardy-bee-220
results: []
hardy-bee-220
This model is a fine-tuned version of facebook/convnext-tiny-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0965
- Accuracy: 0.9648
- Precision: 0.9660
- Recall: 0.9648
- F1: 0.9650
- Roc Auc: 0.9978
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc |
|---|---|---|---|---|---|---|---|---|
| 1.3971 | 1.0 | 17 | 1.3628 | 0.3997 | 0.4611 | 0.3997 | 0.3922 | 0.6197 |
| 1.343 | 2.0 | 34 | 1.2959 | 0.4206 | 0.5256 | 0.4206 | 0.4184 | 0.7270 |
| 1.218 | 3.0 | 51 | 1.1328 | 0.5104 | 0.5209 | 0.5104 | 0.5114 | 0.7725 |
| 1.0866 | 4.0 | 68 | 1.0127 | 0.5482 | 0.5251 | 0.5482 | 0.5135 | 0.7935 |
| 0.979 | 5.0 | 85 | 0.9274 | 0.5182 | 0.5688 | 0.5182 | 0.5264 | 0.7989 |
| 0.7709 | 6.0 | 102 | 0.8019 | 0.5508 | 0.5959 | 0.5508 | 0.5541 | 0.8207 |
| 0.6793 | 7.0 | 119 | 0.7300 | 0.5729 | 0.6291 | 0.5729 | 0.5779 | 0.8376 |
| 0.7004 | 8.0 | 136 | 0.7979 | 0.5820 | 0.6178 | 0.5820 | 0.5900 | 0.8433 |
| 0.5933 | 9.0 | 153 | 0.7219 | 0.5456 | 0.6553 | 0.5456 | 0.5559 | 0.8498 |
| 0.5292 | 10.0 | 170 | 0.6114 | 0.6888 | 0.7024 | 0.6888 | 0.6911 | 0.8923 |
| 0.4391 | 11.0 | 187 | 0.5453 | 0.6758 | 0.7536 | 0.6758 | 0.6758 | 0.9062 |
| 0.3856 | 12.0 | 204 | 0.5515 | 0.6810 | 0.7299 | 0.6810 | 0.6793 | 0.9156 |
| 0.3171 | 13.0 | 221 | 0.4486 | 0.7188 | 0.7829 | 0.7188 | 0.7172 | 0.9330 |
| 0.3035 | 14.0 | 238 | 0.4295 | 0.7227 | 0.7859 | 0.7227 | 0.7248 | 0.9364 |
| 0.2196 | 15.0 | 255 | 0.3438 | 0.8229 | 0.8298 | 0.8229 | 0.8243 | 0.9563 |
| 0.1842 | 16.0 | 272 | 0.2979 | 0.8190 | 0.8539 | 0.8190 | 0.8180 | 0.9690 |
| 0.1423 | 17.0 | 289 | 0.2747 | 0.8646 | 0.8638 | 0.8646 | 0.8638 | 0.9717 |
| 0.1387 | 18.0 | 306 | 0.3680 | 0.7904 | 0.8535 | 0.7904 | 0.7934 | 0.9793 |
| 0.1137 | 19.0 | 323 | 0.2358 | 0.8490 | 0.8744 | 0.8490 | 0.8486 | 0.9824 |
| 0.1013 | 20.0 | 340 | 0.1700 | 0.9193 | 0.9191 | 0.9193 | 0.9191 | 0.9894 |
| 0.0763 | 21.0 | 357 | 0.1573 | 0.9193 | 0.9241 | 0.9193 | 0.9199 | 0.9906 |
| 0.0648 | 22.0 | 374 | 0.1423 | 0.9323 | 0.9336 | 0.9323 | 0.9324 | 0.9915 |
| 0.0433 | 23.0 | 391 | 0.1344 | 0.9414 | 0.9413 | 0.9414 | 0.9412 | 0.9933 |
| 0.0392 | 24.0 | 408 | 0.1444 | 0.9427 | 0.9444 | 0.9427 | 0.9423 | 0.9938 |
| 0.0282 | 25.0 | 425 | 0.1134 | 0.9622 | 0.9627 | 0.9622 | 0.9623 | 0.9952 |
| 0.0249 | 26.0 | 442 | 0.1243 | 0.9466 | 0.9500 | 0.9466 | 0.9470 | 0.9953 |
| 0.015 | 27.0 | 459 | 0.1377 | 0.9336 | 0.9379 | 0.9336 | 0.9339 | 0.9959 |
| 0.0175 | 28.0 | 476 | 0.1320 | 0.9492 | 0.9497 | 0.9492 | 0.9493 | 0.9954 |
| 0.029 | 29.0 | 493 | 0.1202 | 0.9583 | 0.9592 | 0.9583 | 0.9582 | 0.9961 |
| 0.0138 | 30.0 | 510 | 0.0889 | 0.9714 | 0.9714 | 0.9714 | 0.9714 | 0.9976 |
| 0.0135 | 31.0 | 527 | 0.1064 | 0.9622 | 0.9635 | 0.9622 | 0.9624 | 0.9969 |
| 0.0076 | 32.0 | 544 | 0.1238 | 0.9427 | 0.9466 | 0.9427 | 0.9428 | 0.9969 |
| 0.0098 | 33.0 | 561 | 0.0871 | 0.9635 | 0.9643 | 0.9635 | 0.9636 | 0.9974 |
| 0.0066 | 34.0 | 578 | 0.1342 | 0.9518 | 0.9547 | 0.9518 | 0.9522 | 0.9968 |
| 0.0055 | 35.0 | 595 | 0.0965 | 0.9648 | 0.9660 | 0.9648 | 0.9650 | 0.9978 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0