Yi-6B-ruozhiba
This model is a fine-tuned version of 01-ai/Yi-6B on the ruozhiba dataset. It achieves the following results on the evaluation set:
- Loss: 4.1672
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0998 | 1.0 | 55 | 2.0215 |
| 1.7439 | 2.0 | 110 | 1.8371 |
| 1.7017 | 3.0 | 165 | 1.8182 |
| 1.3662 | 4.0 | 220 | 1.9196 |
| 1.0344 | 5.0 | 275 | 2.2265 |
| 0.6959 | 6.0 | 330 | 2.5187 |
| 0.4353 | 7.0 | 385 | 2.8303 |
| 0.2736 | 8.0 | 440 | 3.1702 |
| 0.1598 | 9.0 | 495 | 3.3739 |
| 0.117 | 10.0 | 550 | 3.4964 |
| 0.0856 | 11.0 | 605 | 3.6468 |
| 0.0681 | 12.0 | 660 | 3.8002 |
| 0.058 | 13.0 | 715 | 3.9182 |
| 0.0532 | 14.0 | 770 | 4.0117 |
| 0.0443 | 15.0 | 825 | 4.0919 |
| 0.0461 | 17.0 | 935 | 4.1480 |
| 0.0465 | 18.0 | 990 | 4.1622 |
| 0.049 | 19.0 | 1045 | 4.1667 |
| 0.0416 | 20.0 | 1100 | 4.1672 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
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01-ai/Yi-6B