--- base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ library_name: peft license: apache-2.0 tags: - generated_from_trainer model-index: - name: Mistral-7B-Instruct-v0.2-GPTQ_finetune_s1000 results: [] --- # Mistral-7B-Instruct-v0.2-GPTQ_finetune_s1000 This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6456 ## 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 1.2303 | 0.9829 | 43 | 0.8563 | | 0.6964 | 1.9886 | 87 | 0.7045 | | 0.6032 | 2.9943 | 131 | 0.6661 | | 0.558 | 4.0 | 175 | 0.6472 | | 0.5376 | 4.9829 | 218 | 0.6400 | | 0.4962 | 5.9886 | 262 | 0.6360 | | 0.4754 | 6.9943 | 306 | 0.6359 | | 0.4593 | 8.0 | 350 | 0.6393 | | 0.456 | 8.9829 | 393 | 0.6430 | | 0.4305 | 9.8286 | 430 | 0.6456 | ### Framework versions - PEFT 0.11.1 - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1