--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ model-index: - name: Finetune-test4 results: [] --- # Finetune-test4 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: 1.1223 ## 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: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 0.767 | 0.9956 | 56 | 0.5333 | | 0.4313 | 1.9911 | 112 | 0.4449 | | 0.3107 | 2.9867 | 168 | 0.4640 | | 0.2198 | 4.0 | 225 | 0.5196 | | 0.1633 | 4.9956 | 281 | 0.5811 | | 0.1209 | 5.9911 | 337 | 0.6468 | | 0.0944 | 6.9867 | 393 | 0.6891 | | 0.0745 | 8.0 | 450 | 0.7297 | | 0.064 | 8.9956 | 506 | 0.7844 | | 0.0557 | 9.9911 | 562 | 0.8384 | | 0.0489 | 10.9867 | 618 | 0.8632 | | 0.0433 | 12.0 | 675 | 0.9223 | | 0.0413 | 12.9956 | 731 | 0.9526 | | 0.0389 | 13.9911 | 787 | 0.9552 | | 0.0375 | 14.9867 | 843 | 1.0303 | | 0.0355 | 16.0 | 900 | 1.0489 | | 0.0355 | 16.9956 | 956 | 1.0804 | | 0.0347 | 17.9911 | 1012 | 1.0983 | | 0.0341 | 18.9867 | 1068 | 1.1147 | | 0.0328 | 19.9111 | 1120 | 1.1223 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.1 - Pytorch 2.0.1+cu118 - Datasets 2.19.0 - Tokenizers 0.19.1