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--- |
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license: other |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- ruozhiba |
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base_model: 01-ai/Yi-6B |
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model-index: |
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- name: Yi-6B-ruozhiba-1e-5-50 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Yi-6B-ruozhiba-1e-5-50 |
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9875 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8114 | 4.0 | 220 | 1.8505 | |
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| 1.6723 | 5.0 | 275 | 1.8372 | |
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| 1.6532 | 6.0 | 330 | 1.8296 | |
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| 1.7187 | 7.0 | 385 | 1.8273 | |
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| 1.6945 | 8.0 | 440 | 1.8345 | |
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| 1.5494 | 9.0 | 495 | 1.8452 | |
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| 1.5329 | 10.0 | 550 | 1.8665 | |
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| 1.4105 | 11.0 | 605 | 1.8877 | |
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| 1.3862 | 12.0 | 660 | 1.9066 | |
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| 1.4126 | 13.0 | 715 | 1.9303 | |
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| 1.388 | 14.0 | 770 | 1.9449 | |
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| 1.3653 | 15.0 | 825 | 1.9637 | |
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| 1.361 | 16.0 | 880 | 1.9738 | |
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| 1.2944 | 17.0 | 935 | 1.9819 | |
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| 1.3433 | 18.0 | 990 | 1.9856 | |
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| 1.2058 | 19.0 | 1045 | 1.9871 | |
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| 1.2904 | 20.0 | 1100 | 1.9875 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.2+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
