| --- |
| library_name: peft |
| tags: |
| - trl |
| - dpo |
| - generated_from_trainer |
| base_model: meta-llama/Llama-2-7b-hf |
| model-index: |
| - name: results |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0483 |
| - Rewards/chosen: 0.8443 |
| - Rewards/rejected: -4.9894 |
| - Rewards/accuracies: 0.9864 |
| - Rewards/margins: 5.8337 |
| - Logps/rejected: -163.0178 |
| - Logps/chosen: -85.8088 |
| - Logits/rejected: -1.0144 |
| - Logits/chosen: -0.8703 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 64 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.5635 | 0.24 | 100 | 0.5460 | 0.2168 | -0.4663 | 0.7367 | 0.6831 | -117.7869 | -92.0844 | -1.3150 | -1.2411 | |
| | 0.3836 | 0.47 | 200 | 0.3582 | 0.1507 | -1.4599 | 0.8494 | 1.6106 | -127.7231 | -92.7453 | -0.6842 | -0.5917 | |
| | 0.2525 | 0.71 | 300 | 0.2509 | 0.6325 | -1.7217 | 0.9095 | 2.3542 | -130.3404 | -87.9269 | -0.7855 | -0.6860 | |
| | 0.1625 | 0.94 | 400 | 0.1711 | 0.6613 | -2.8054 | 0.9357 | 3.4667 | -141.1781 | -87.6390 | -0.7853 | -0.6836 | |
| | 0.0695 | 1.18 | 500 | 0.1215 | 0.6443 | -3.7903 | 0.9589 | 4.4347 | -151.0267 | -87.8085 | -0.8915 | -0.7635 | |
| | 0.0448 | 1.42 | 600 | 0.0905 | 1.0284 | -4.1415 | 0.9698 | 5.1699 | -154.5387 | -83.9677 | -0.9632 | -0.8182 | |
| | 0.0515 | 1.65 | 700 | 0.0760 | 1.1233 | -3.6423 | 0.9758 | 4.7656 | -149.5469 | -83.0189 | -0.9748 | -0.8504 | |
| | 0.0396 | 1.89 | 800 | 0.0542 | 0.7363 | -4.9101 | 0.9864 | 5.6464 | -162.2247 | -86.8886 | -1.0377 | -0.8963 | |
| | 0.0099 | 2.13 | 900 | 0.0486 | 0.8344 | -4.9605 | 0.9864 | 5.7949 | -162.7287 | -85.9078 | -1.0199 | -0.8760 | |
| | 0.0107 | 2.36 | 1000 | 0.0483 | 0.8443 | -4.9894 | 0.9864 | 5.8337 | -163.0178 | -85.8088 | -1.0144 | -0.8703 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.7.1 |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
