--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Mistral-7B-OpenOrca-GPTQ model-index: - name: outputs results: [] --- # outputs This model is a fine-tuned version of [TheBloke/Mistral-7B-OpenOrca-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-OpenOrca-GPTQ) on the None dataset. ## 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: 7.344117314813483e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 6 - total_train_batch_size: 96 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - training_steps: 203 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.7.1 - Transformers 4.36.0 - Pytorch 2.0.1 - Datasets 2.14.6 - Tokenizers 0.15.1