Model save
Browse files- README.md +22 -11
- all_results.json +8 -8
- eval_results.json +4 -4
- train_results.json +5 -5
- trainer_state.json +1659 -144
README.md
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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
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@@ -20,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# Yi-6B-ruozhiba
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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
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-ruozhiba
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# Yi-6B-ruozhiba
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.1672
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## Model description
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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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| 2.0998 | 1.0 | 55 | 2.0215 |
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| 1.7439 | 2.0 | 110 | 1.8371 |
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| 1.7017 | 3.0 | 165 | 1.8182 |
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| 1.3662 | 4.0 | 220 | 1.9196 |
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| 1.0344 | 5.0 | 275 | 2.2265 |
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| 0.6959 | 6.0 | 330 | 2.5187 |
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| 0.4353 | 7.0 | 385 | 2.8303 |
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| 0.2736 | 8.0 | 440 | 3.1702 |
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| 0.1598 | 9.0 | 495 | 3.3739 |
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| 0.117 | 10.0 | 550 | 3.4964 |
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| 0.0856 | 11.0 | 605 | 3.6468 |
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| 0.0681 | 12.0 | 660 | 3.8002 |
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| 0.058 | 13.0 | 715 | 3.9182 |
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| 0.0532 | 14.0 | 770 | 4.0117 |
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| 0.0443 | 15.0 | 825 | 4.0919 |
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| 0.0461 | 17.0 | 935 | 4.1480 |
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| 0.0465 | 18.0 | 990 | 4.1622 |
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| 0.049 | 19.0 | 1045 | 4.1667 |
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| 0.0416 | 20.0 | 1100 | 4.1672 |
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### Framework versions
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