--- license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - alignment-handbook - generated_from_trainer datasets: - AmberYifan/safeRLHF-SFT model-index: - name: mistral-safe-sft-full results: [] --- # mistral-safe-sft-full This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the AmberYifan/safeRLHF-SFT dataset. It achieves the following results on the evaluation set: - Loss: 1.7972 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - total_train_batch_size: 32 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.9697 | 2.0 | 370 | 1.2888 | | 0.4114 | 3.0 | 555 | 1.4739 | | 0.1361 | 4.0 | 740 | 1.7972 | ### Framework versions - Transformers 4.43.3 - Pytorch 2.2.2+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1