--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ model-index: - name: recogs_mistral_ft results: [] --- # recogs_mistral_ft 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: 4.7522 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 7.1516 | 0.96 | 6 | 6.8988 | | 6.5638 | 1.92 | 12 | 6.3491 | | 6.0302 | 2.88 | 18 | 5.7975 | | 4.7136 | 4.0 | 25 | 5.3152 | | 5.0991 | 4.96 | 31 | 5.0892 | | 4.7721 | 5.92 | 37 | 4.9895 | | 4.6138 | 6.88 | 43 | 4.8591 | | 3.7808 | 8.0 | 50 | 4.7853 | | 4.3257 | 8.96 | 56 | 4.7611 | | 3.6388 | 9.6 | 60 | 4.7522 | ### Framework versions - PEFT 0.9.0 - Transformers 4.37.1 - Pytorch 2.1.0+cu121 - Datasets 2.14.6 - Tokenizers 0.15.2