--- license: apache-2.0 library_name: peft tags: - trl - dpo - generated_from_trainer base_model: mistralai/Mistral-7B-v0.1 model-index: - name: mistral-dpo results: [] --- # mistral-dpo This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5536 - Rewards/chosen: 0.2363 - Rewards/rejected: -0.3821 - Rewards/accuracies: 0.7095 - Rewards/margins: 0.6183 - Logps/rejected: -278.2731 - Logps/chosen: -292.0563 - Logits/rejected: -2.6610 - Logits/chosen: -2.7000 ## 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-06 - train_batch_size: 2 - eval_batch_size: 4 - seed: 100 - gradient_accumulation_steps: 8 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.5093 | 1.0 | 625 | 0.5536 | 0.2363 | -0.3821 | 0.7095 | 0.6183 | -278.2731 | -292.0563 | -2.6610 | -2.7000 | ### Framework versions - PEFT 0.7.2.dev0 - Transformers 4.38.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.15.0 - Tokenizers 0.15.1