test-trainer-3
This model is a fine-tuned version of hfl/rbt3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1784
- Recall: 0.9851
- F1: 0.9601
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall | F1 |
|---|---|---|---|---|---|
| 0.5397 | 1.0 | 36 | 0.3131 | 0.9545 | 0.9130 |
| 0.2831 | 2.0 | 72 | 0.1344 | 1.0 | 0.9778 |
| 0.186 | 3.0 | 108 | 0.1124 | 1.0 | 0.9778 |
| 0.1523 | 4.0 | 144 | 0.0908 | 1.0 | 0.9778 |
| 0.1323 | 5.0 | 180 | 0.0874 | 0.9773 | 0.9663 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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