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--- |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: NanQiangHF/llama3_8b_instruct_bwgenerator |
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model-index: |
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- name: llama3_8b_instruct_dpo_bwgenerator |
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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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# llama3_8b_instruct_dpo_bwgenerator |
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This model is a fine-tuned version of [NanQiangHF/llama3_8b_instruct_bwgenerator](https://huggingface.co/NanQiangHF/llama3_8b_instruct_bwgenerator) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0706 |
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- Rewards/chosen: -4.6241 |
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- Rewards/rejected: -14.8342 |
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- Rewards/accuracies: 0.9780 |
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- Rewards/margins: 10.2101 |
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- Logps/rejected: -216.1456 |
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- Logps/chosen: -84.8191 |
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- Logits/rejected: 0.9202 |
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- Logits/chosen: 0.3552 |
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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: 5e-06 |
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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: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.247 | 0.0719 | 1000 | 0.0906 | -3.7216 | -11.8877 | 0.9686 | 8.1662 | -186.6814 | -75.7941 | 0.8504 | 0.3080 | |
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| 0.083 | 0.1438 | 2000 | 0.0775 | -4.5564 | -14.1375 | 0.9764 | 9.5811 | -209.1791 | -84.1423 | 0.8989 | 0.3418 | |
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| 0.0623 | 0.2157 | 3000 | 0.0734 | -4.5379 | -14.4993 | 0.9770 | 9.9614 | -212.7973 | -83.9572 | 0.9082 | 0.3471 | |
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| 0.069 | 0.2876 | 4000 | 0.0713 | -4.5601 | -14.6450 | 0.9777 | 10.0850 | -214.2546 | -84.1790 | 0.9145 | 0.3514 | |
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| 0.0752 | 0.3595 | 5000 | 0.0706 | -4.4918 | -14.6244 | 0.9793 | 10.1326 | -214.0477 | -83.4960 | 0.9181 | 0.3533 | |
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| 0.0723 | 0.4313 | 6000 | 0.0710 | -4.6381 | -14.8167 | 0.9780 | 10.1787 | -215.9714 | -84.9590 | 0.9187 | 0.3542 | |
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| 0.0852 | 0.5032 | 7000 | 0.0705 | -4.6251 | -14.8143 | 0.9783 | 10.1893 | -215.9474 | -84.8290 | 0.9189 | 0.3542 | |
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| 0.0811 | 0.5751 | 8000 | 0.0706 | -4.6409 | -14.8406 | 0.9780 | 10.1997 | -216.2102 | -84.9870 | 0.9185 | 0.3538 | |
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| 0.0762 | 0.6470 | 9000 | 0.0699 | -4.6161 | -14.8083 | 0.9790 | 10.1921 | -215.8869 | -84.7398 | 0.9186 | 0.3541 | |
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| 0.0686 | 0.7189 | 10000 | 0.0703 | -4.6164 | -14.8042 | 0.9790 | 10.1878 | -215.8462 | -84.7421 | 0.9185 | 0.3537 | |
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| 0.061 | 0.7908 | 11000 | 0.0705 | -4.6191 | -14.8169 | 0.9793 | 10.1977 | -215.9726 | -84.7695 | 0.9207 | 0.3556 | |
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| 0.0786 | 0.8627 | 12000 | 0.0698 | -4.6080 | -14.7978 | 0.9793 | 10.1898 | -215.7822 | -84.6584 | 0.9195 | 0.3546 | |
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| 0.073 | 0.9346 | 13000 | 0.0706 | -4.6241 | -14.8342 | 0.9780 | 10.2101 | -216.1456 | -84.8191 | 0.9202 | 0.3552 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.19.1 |
