--- library_name: peft tags: - generated_from_trainer - unsloth - chatalpaca - mistral - conversational base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit model-index: - name: Mistral-Instruct-7B-v0.2-ChatAlpacaV2 results: [] license: apache-2.0 datasets: - robinsmits/ChatAlpaca-20K language: - en inference: false pipeline_tag: text-generation --- # Mistral-Instruct-7B-v0.2-ChatAlpacaV2 This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8439 ## 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-05 - train_batch_size: 2 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.8801 | 0.2 | 120 | 0.8756 | | 0.8498 | 0.39 | 240 | 0.8553 | | 0.8515 | 0.59 | 360 | 0.8475 | | 0.8313 | 0.78 | 480 | 0.8445 | | 0.857 | 0.98 | 600 | 0.8439 | ### Framework versions - PEFT 0.8.2 - Transformers 4.37.1 - Pytorch 2.1.1+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1