tiny_no_focal_v2
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1314
- Precision: 0.7013
- Recall: 0.6837
- F1: 0.6924
- Accuracy: 0.9522
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|
| 0.1574 | 1.0 | 5561 | 0.1471 | 0.6907 | 0.6186 | 0.6527 | 0.9462 |
| 0.1456 | 2.0 | 11122 | 0.1396 | 0.6923 | 0.6473 | 0.6690 | 0.9485 |
| 0.1412 | 3.0 | 16683 | 0.1373 | 0.6845 | 0.6705 | 0.6774 | 0.9490 |
| 0.1338 | 4.0 | 22244 | 0.1343 | 0.6988 | 0.6640 | 0.6810 | 0.9505 |
| 0.1311 | 5.0 | 27805 | 0.1342 | 0.6971 | 0.6751 | 0.6859 | 0.9510 |
| 0.1289 | 6.0 | 33366 | 0.1324 | 0.7081 | 0.6653 | 0.6860 | 0.9517 |
| 0.1258 | 7.0 | 38927 | 0.1309 | 0.7053 | 0.6731 | 0.6888 | 0.9521 |
| 0.1223 | 8.0 | 44488 | 0.1325 | 0.7001 | 0.6818 | 0.6908 | 0.9519 |
| 0.1213 | 9.0 | 50049 | 0.1316 | 0.7020 | 0.6813 | 0.6915 | 0.9522 |
| 0.1197 | 10.0 | 55610 | 0.1314 | 0.7013 | 0.6837 | 0.6924 | 0.9522 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
