--- license: apache-2.0 library_name: peft tags: - llama-factory - lora - trl - dpo - generated_from_trainer base_model: mistralai/Mistral-7B-Instruct-v0.3 model-index: - name: Mistral-7B-Instruct-v0.3-ORPO-SALT results: [] --- # Mistral-7B-Instruct-v0.3-ORPO-SALT This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the dpo_mix_en and the bct_non_cot_dpo_1000 datasets. It achieves the following results on the evaluation set: - Loss: 0.8434 - Rewards/chosen: -0.0777 - Rewards/rejected: -0.0988 - Rewards/accuracies: 0.5691 - Rewards/margins: 0.0210 - Logps/rejected: -0.9877 - Logps/chosen: -0.7773 - Logits/rejected: -3.1073 - Logits/chosen: -3.0834 - Sft Loss: 0.7773 - Odds Ratio Loss: 0.6614 ## 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: 2 - seed: 42 - 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 - lr_scheduler_warmup_steps: 0.1 - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:| | 0.8803 | 0.8082 | 500 | 0.8619 | -0.0796 | -0.0983 | 0.5655 | 0.0187 | -0.9834 | -0.7962 | -3.0746 | -3.0520 | 0.7962 | 0.6572 | | 0.7341 | 1.6165 | 1000 | 0.8450 | -0.0779 | -0.0980 | 0.5673 | 0.0201 | -0.9804 | -0.7795 | -3.1194 | -3.0960 | 0.7795 | 0.6550 | | 0.7691 | 2.4247 | 1500 | 0.8434 | -0.0777 | -0.0988 | 0.5691 | 0.0210 | -0.9877 | -0.7773 | -3.1073 | -3.0834 | 0.7773 | 0.6614 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.1 - Pytorch 2.3.0 - Datasets 2.19.0 - Tokenizers 0.19.1