--- base_model: mistralai/Mistral-7B-Instruct-v0.3 datasets: - GaetanMichelet/chat-60_ft_task-2_auto library_name: peft license: apache-2.0 tags: - alignment-handbook - trl - sft - generated_from_trainer model-index: - name: Mistral-7B_task-2_60-samples_config-1_auto results: [] --- # Mistral-7B_task-2_60-samples_config-1_auto This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.3) on the GaetanMichelet/chat-60_ft_task-2_auto dataset. It achieves the following results on the evaluation set: - Loss: 0.4861 ## 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: 0.0001 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 50 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 0.7334 | 0.8696 | 5 | 0.7063 | | 0.6319 | 1.9130 | 11 | 0.5730 | | 0.5266 | 2.9565 | 17 | 0.5148 | | 0.4086 | 4.0 | 23 | 0.4890 | | 0.307 | 4.8696 | 28 | 0.4861 | | 0.2061 | 5.9130 | 34 | 0.5480 | | 0.1025 | 6.9565 | 40 | 0.6544 | | 0.0474 | 8.0 | 46 | 0.7597 | | 0.0255 | 8.8696 | 51 | 0.7984 | | 0.0223 | 9.9130 | 57 | 0.7589 | | 0.0134 | 10.9565 | 63 | 0.8149 | | 0.0068 | 12.0 | 69 | 0.8507 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.0 - Pytorch 2.1.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1