--- license: apache-2.0 library_name: peft tags: - trl - sft - generated_from_trainer - pytorch base_model: mistralai/Mistral-7B-v0.1 model-index: - name: fennec-7b-alpha results: [] datasets: - HuggingFaceH4/ultrachat_200k - openbmb/UltraFeedback - gsm8k language: - en pipeline_tag: text-generation --- # fennec-7b-alpha 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. ## 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: 7 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 14 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.03 - training_steps: 500 ### Training results ### Framework versions - PEFT 0.8.2 - Transformers 4.38.0.dev0 - Pytorch 2.1.0+cu121 - Datasets 2.17.0 - Tokenizers 0.15.1