--- base_model: mistralai/Mistral-7B-Instruct-v0.2 library_name: peft license: apache-2.0 tags: - trl - sft - generated_from_trainer model-index: - name: results_3 results: [] --- # results_3 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.4783 ## 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: 1 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 7 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 2.5669 | 0.7143 | 5 | 1.9836 | | 1.7321 | 1.4286 | 10 | 1.5707 | | 1.2965 | 2.1429 | 15 | 1.3547 | | 1.027 | 2.8571 | 20 | 1.3522 | | 0.7281 | 3.5714 | 25 | 1.3416 | | 0.7364 | 4.2857 | 30 | 1.3577 | | 0.7055 | 5.0 | 35 | 1.4064 | | 0.5305 | 5.7143 | 40 | 1.4535 | | 0.56 | 6.4286 | 45 | 1.4710 | ### Framework versions - PEFT 0.13.2 - Transformers 4.45.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.20.1