| | --- |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | model-index: |
| | - name: mistral_dpo |
| | 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. --> |
| |
|
| | # mistral_dpo |
| | |
| | This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6891 |
| | - Rewards/chosen: 0.0621 |
| | - Rewards/rejected: 0.0538 |
| | - Rewards/accuracies: 0.6213 |
| | - Rewards/margins: 0.0083 |
| | - Logps/rejected: -52.0979 |
| | - Logps/chosen: -55.7624 |
| | - Logits/rejected: -0.2991 |
| | - Logits/chosen: -0.3269 |
| | |
| | ## 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: 5e-07 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 20 |
| | - training_steps: 100 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 0.6929 | 0.0882 | 20 | 0.6923 | 0.0239 | 0.0221 | 0.6109 | 0.0018 | -52.4151 | -56.1451 | -0.2993 | -0.3271 | |
| | | 0.6919 | 0.1763 | 40 | 0.6908 | 0.0490 | 0.0443 | 0.6187 | 0.0047 | -52.1927 | -55.8934 | -0.2991 | -0.3268 | |
| | | 0.6903 | 0.2645 | 60 | 0.6898 | 0.0587 | 0.0518 | 0.6157 | 0.0068 | -52.1173 | -55.7971 | -0.2991 | -0.3269 | |
| | | 0.6899 | 0.3526 | 80 | 0.6892 | 0.0595 | 0.0515 | 0.6135 | 0.0081 | -52.1210 | -55.7885 | -0.2991 | -0.3269 | |
| | | 0.6898 | 0.4408 | 100 | 0.6891 | 0.0621 | 0.0538 | 0.6213 | 0.0083 | -52.0979 | -55.7624 | -0.2991 | -0.3269 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
