distilbert-base-uncased
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0926
- F1: 0.9907
- Roc Auc: 0.9907
- Accuracy: 0.9907
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|
| 0.0476 | 1.0 | 56159 | 0.0385 | 0.9892 | 0.9892 | 0.9892 |
| 0.0382 | 2.0 | 112318 | 0.0578 | 0.9901 | 0.9901 | 0.9901 |
| 0.0139 | 3.0 | 168477 | 0.0618 | 0.9903 | 0.9903 | 0.9903 |
| 0.0074 | 4.0 | 224636 | 0.0762 | 0.9902 | 0.9902 | 0.9902 |
| 0.0025 | 5.0 | 280795 | 0.0926 | 0.9907 | 0.9907 | 0.9907 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
