--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ model-index: - name: ft-poc results: [] --- # ft-poc 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 an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.5077 ## 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 | |:-------------:|:-----:|:----:|:---------------:| | 3.6207 | 0.91 | 5 | 2.8472 | | 2.1794 | 2.0 | 11 | 1.9461 | | 1.8396 | 2.91 | 16 | 1.4070 | | 1.0288 | 4.0 | 22 | 0.8795 | | 0.7943 | 4.91 | 27 | 0.6335 | | 0.5105 | 6.0 | 33 | 0.5606 | | 0.5624 | 6.91 | 38 | 0.5307 | | 0.4441 | 8.0 | 44 | 0.5145 | | 0.5156 | 8.91 | 49 | 0.5080 | | 0.2438 | 9.09 | 50 | 0.5077 | ### Framework versions - PEFT 0.10.0 - Transformers 4.38.1 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2