| | --- |
| | base_model: mistralai/Mistral-7B-v0.1 |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | model-index: |
| | - name: mistral_dpo3 |
| | 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_dpo3 |
| | |
| | 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: 0.6493 |
| | - Rewards/chosen: -0.0199 |
| | - Rewards/rejected: -0.1207 |
| | - Rewards/accuracies: 0.6902 |
| | - Rewards/margins: 0.1008 |
| | - Logps/rejected: -49.8290 |
| | - Logps/chosen: -78.6185 |
| | - Logits/rejected: -0.5023 |
| | - Logits/chosen: -0.7841 |
| | |
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 0.6892 | 0.1236 | 40 | 0.6854 | -0.0095 | -0.0254 | 0.6975 | 0.0159 | -48.8761 | -78.5142 | -0.5066 | -0.7881 | |
| | | 0.6746 | 0.2473 | 80 | 0.6703 | 0.0082 | -0.0405 | 0.6957 | 0.0487 | -49.0272 | -78.3371 | -0.5048 | -0.7865 | |
| | | 0.6579 | 0.3709 | 120 | 0.6587 | 0.0022 | -0.0744 | 0.6938 | 0.0766 | -49.3662 | -78.3975 | -0.5036 | -0.7854 | |
| | | 0.6539 | 0.4946 | 160 | 0.6516 | -0.0128 | -0.1074 | 0.6902 | 0.0946 | -49.6963 | -78.5475 | -0.5026 | -0.7844 | |
| | | 0.6464 | 0.6182 | 200 | 0.6493 | -0.0199 | -0.1207 | 0.6902 | 0.1008 | -49.8290 | -78.6185 | -0.5023 | -0.7841 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.43.3 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
