checkpoint-291-5ep3bsfrmulti5
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1898
- Recall: 0.9032
- Precision: 0.9655
- F1: 0.9333
- Roc Auc: 0.7553
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: 5e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 485
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1 | Roc Auc |
|---|
| 0.2446 | 0.2 | 97 | 0.5210 | 0.7419 | 1.0 | 0.8519 | 0.3663 |
| 0.334 | 1.2 | 194 | 1.1761 | 1.0 | 0.4769 | 0.6458 | 0.1593 |
| 0.0004 | 2.2 | 291 | 0.1782 | 1.0 | 0.8857 | 0.9394 | 0.5017 |
| 0.0004 | 3.2 | 388 | 0.3171 | 0.8387 | 1.0 | 0.9123 | 0.9400 |
| 0.0002 | 4.2 | 485 | 0.1898 | 0.9032 | 0.9655 | 0.9333 | 0.7553 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
