results
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0396
- Accuracy: 0.9896
- Precision: 0.9894
- Recall: 0.9896
- F1 Score: 0.9895
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: 2.5e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|
| 0.1617 | 1.0 | 507 | 0.0524 | 0.9852 | 0.9852 | 0.9852 | 0.9852 |
| 0.0555 | 2.0 | 1014 | 0.0396 | 0.9896 | 0.9894 | 0.9896 | 0.9895 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
