--- license: apache-2.0 library_name: peft tags: - trl - sft - generated_from_trainer base_model: mistralai/Mixtral-8x7B-v0.1 model-index: - name: mistral_instruct_generation results: [] --- # mistral_instruct_generation This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7326 ## 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: constant - lr_scheduler_warmup_steps: 0.03 - training_steps: 100 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.6174 | 0.0078 | 20 | 0.7952 | | 0.7153 | 0.0156 | 40 | 0.7565 | | 0.7903 | 0.0235 | 60 | 0.7447 | | 0.7175 | 0.0313 | 80 | 0.7377 | | 0.7081 | 0.0391 | 100 | 0.7326 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.0 - Pytorch 2.2.1+cu121 - Tokenizers 0.19.1