tiny_focal_v2_label
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0558
- Precision: 0.6979
- Recall: 0.6747
- F1: 0.6861
- Accuracy: 0.9513
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 |
|---|---|---|---|---|---|---|---|
| 0.0661 | 1.0 | 5561 | 0.0616 | 0.6850 | 0.6202 | 0.6510 | 0.9457 |
| 0.0613 | 2.0 | 11122 | 0.0587 | 0.6952 | 0.6351 | 0.6638 | 0.9480 |
| 0.0596 | 3.0 | 16683 | 0.0577 | 0.6814 | 0.6679 | 0.6746 | 0.9485 |
| 0.0555 | 4.0 | 22244 | 0.0567 | 0.6855 | 0.6693 | 0.6773 | 0.9492 |
| 0.0543 | 5.0 | 27805 | 0.0560 | 0.6966 | 0.6657 | 0.6808 | 0.9503 |
| 0.0529 | 6.0 | 33366 | 0.0558 | 0.7060 | 0.6587 | 0.6816 | 0.9510 |
| 0.052 | 7.0 | 38927 | 0.0552 | 0.7009 | 0.6662 | 0.6831 | 0.9510 |
| 0.0506 | 8.0 | 44488 | 0.0559 | 0.6921 | 0.6783 | 0.6852 | 0.9508 |
| 0.0501 | 9.0 | 50049 | 0.0556 | 0.6991 | 0.6716 | 0.6851 | 0.9512 |
| 0.0491 | 10.0 | 55610 | 0.0558 | 0.6979 | 0.6747 | 0.6861 | 0.9513 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1