Yi-6B-ruozhiba-1e-5
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: 1.9852
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: 1e-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 |
|---|---|---|---|
| 1.9439 | 2.0 | 110 | 2.0206 |
| 1.8731 | 3.0 | 165 | 1.9055 |
| 1.7574 | 4.0 | 220 | 1.8510 |
| 1.7266 | 5.0 | 275 | 1.8366 |
| 1.6036 | 7.0 | 385 | 1.8308 |
| 1.7214 | 8.0 | 440 | 1.8380 |
| 1.5245 | 9.0 | 495 | 1.8495 |
| 1.5239 | 10.0 | 550 | 1.8638 |
| 1.4286 | 11.0 | 605 | 1.8771 |
| 1.3534 | 12.0 | 660 | 1.9030 |
| 1.3895 | 14.0 | 770 | 1.9447 |
| 1.3721 | 15.0 | 825 | 1.9617 |
| 1.3598 | 16.0 | 880 | 1.9719 |
| 1.3015 | 17.0 | 935 | 1.9796 |
| 1.3456 | 18.0 | 990 | 1.9831 |
| 1.2136 | 19.0 | 1045 | 1.9848 |
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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Model tree for yyx123/Yi-6B-ruozhiba-1e-5
Base model
01-ai/Yi-6B