--- license: apache-2.0 library_name: peft tags: - trl - sft - generated_from_trainer base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0 model-index: - name: ROE_QA_Breeze-7B-Instruct-v1_0_1 results: [] --- # ROE_QA_Breeze-7B-Instruct-v1_0_1 This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) on the None dataset. ## 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: 0.0003903677440817261 - train_batch_size: 4 - eval_batch_size: 8 - 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: constant - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.12.1.dev0 - Transformers 4.44.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1