| | --- |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | model-index: |
| | - name: mistral_dpo2 |
| | 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_dpo2 |
| | |
| | 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: 0.6594 |
| | - Rewards/chosen: -0.0073 |
| | - Rewards/rejected: -0.0880 |
| | - Rewards/accuracies: 0.6532 |
| | - Rewards/margins: 0.0807 |
| | - Logps/rejected: -47.9164 |
| | - Logps/chosen: -70.6164 |
| | - Logits/rejected: -0.6606 |
| | - Logits/chosen: -0.8711 |
| | |
| | ## 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: 40 |
| | - training_steps: 200 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 0.6886 | 0.1251 | 40 | 0.6857 | 0.0161 | 0.0006 | 0.6532 | 0.0154 | -47.0302 | -70.3825 | -0.6637 | -0.8738 | |
| | | 0.6729 | 0.2502 | 80 | 0.6731 | 0.0155 | -0.0284 | 0.6587 | 0.0438 | -47.3201 | -70.3884 | -0.6620 | -0.8723 | |
| | | 0.6661 | 0.3753 | 120 | 0.6656 | 0.0214 | -0.0413 | 0.6532 | 0.0627 | -47.4494 | -70.3287 | -0.6616 | -0.8720 | |
| | | 0.6495 | 0.5004 | 160 | 0.6611 | -0.0187 | -0.0942 | 0.6532 | 0.0756 | -47.9787 | -70.7297 | -0.6609 | -0.8713 | |
| | | 0.6525 | 0.6255 | 200 | 0.6594 | -0.0073 | -0.0880 | 0.6532 | 0.0807 | -47.9164 | -70.6164 | -0.6606 | -0.8711 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.43.2 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
