--- license: apache-2.0 base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ tags: - generated_from_trainer model-index: - name: openhermes-mistral-dpo-gptq results: [] --- # openhermes-mistral-dpo-gptq This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co./TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset. It achieves the following results on the evaluation set: - Loss: 10.4812 - Rewards/chosen: -34.3483 - Rewards/rejected: -10.5927 - Rewards/accuracies: 0.4375 - Rewards/margins: -23.7556 - Logps/rejected: -369.0945 - Logps/chosen: -652.6519 - Logits/rejected: -1.9434 - Logits/chosen: -2.1850 ## 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: 0.0002 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - training_steps: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.785 | 0.01 | 10 | 0.6767 | 0.0342 | 0.0037 | 0.5625 | 0.0305 | -263.1300 | -308.8264 | -2.4042 | -2.7773 | | 0.988 | 0.01 | 20 | 0.6634 | 0.1443 | -0.0047 | 0.75 | 0.1490 | -263.2147 | -307.7260 | -2.4189 | -2.7870 | | 0.9481 | 0.01 | 30 | 10.5125 | -35.0203 | -10.9252 | 0.4375 | -24.0951 | -372.4191 | -659.3712 | -1.9468 | -2.1781 | | 10.47 | 0.02 | 40 | 17.8422 | -55.0969 | -26.2159 | 0.375 | -28.8810 | -525.3258 | -860.1373 | -1.6618 | -1.8474 | | 2.5456 | 0.03 | 50 | 10.4812 | -34.3483 | -10.5927 | 0.4375 | -23.7556 | -369.0945 | -652.6519 | -1.9434 | -2.1850 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.0.1+cu117 - Datasets 2.14.6 - Tokenizers 0.14.1