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--- |
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license: llama3.1 |
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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: meta-llama/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: llama3.1_8b_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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# llama3.1_8b_dpo_bwgenerator |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0325 |
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- Rewards/chosen: -8.0882 |
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- Rewards/rejected: -39.4615 |
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- Rewards/accuracies: 0.9958 |
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- Rewards/margins: 31.3733 |
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- Logps/rejected: -504.7621 |
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- Logps/chosen: -165.4306 |
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- Logits/rejected: -1.1893 |
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- Logits/chosen: -1.7730 |
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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-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: 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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| 0.0854 | 0.0719 | 1000 | 0.1058 | -28.5182 | -64.6284 | 0.9929 | 36.1101 | -756.4312 | -369.7310 | -1.1763 | -1.7541 | |
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| 0.078 | 0.1438 | 2000 | 0.0582 | -16.5113 | -45.2514 | 0.9938 | 28.7401 | -562.6614 | -249.6615 | -1.1262 | -1.7216 | |
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| 0.0458 | 0.2157 | 3000 | 0.0506 | -12.8337 | -41.3538 | 0.9942 | 28.5201 | -523.6852 | -212.8855 | -1.3210 | -1.8884 | |
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| 0.0295 | 0.2876 | 4000 | 0.0534 | -12.7034 | -45.1669 | 0.9942 | 32.4635 | -561.8164 | -211.5826 | -1.2303 | -1.8040 | |
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| 0.0442 | 0.3595 | 5000 | 0.0428 | -10.9032 | -42.1320 | 0.9955 | 31.2288 | -531.4679 | -193.5811 | -1.2327 | -1.8028 | |
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| 0.0329 | 0.4313 | 6000 | 0.0365 | -8.5207 | -36.8790 | 0.9951 | 28.3583 | -478.9377 | -169.7559 | -1.2024 | -1.7841 | |
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| 0.0384 | 0.5032 | 7000 | 0.0418 | -12.1405 | -46.4364 | 0.9955 | 34.2959 | -574.5117 | -205.9535 | -1.1646 | -1.7549 | |
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| 0.0596 | 0.5751 | 8000 | 0.0344 | -8.7801 | -39.5544 | 0.9951 | 30.7743 | -505.6917 | -172.3499 | -1.2145 | -1.7970 | |
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| 0.0437 | 0.6470 | 9000 | 0.0347 | -9.4417 | -41.5833 | 0.9955 | 32.1416 | -525.9807 | -178.9660 | -1.1796 | -1.7709 | |
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| 0.0203 | 0.7189 | 10000 | 0.0357 | -9.3723 | -41.8496 | 0.9951 | 32.4773 | -528.6439 | -178.2718 | -1.1694 | -1.7593 | |
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| 0.0257 | 0.7908 | 11000 | 0.0347 | -8.6569 | -40.6073 | 0.9961 | 31.9505 | -516.2208 | -171.1173 | -1.1821 | -1.7676 | |
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| 0.0355 | 0.8627 | 12000 | 0.0332 | -8.4060 | -40.1402 | 0.9964 | 31.7342 | -511.5494 | -168.6083 | -1.1878 | -1.7722 | |
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| 0.0553 | 0.9346 | 13000 | 0.0325 | -8.0882 | -39.4615 | 0.9958 | 31.3733 | -504.7621 | -165.4306 | -1.1893 | -1.7730 | |
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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 |
