--- library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags: - alignment-handbook - generated_from_trainer datasets: - siqi00/mistral_metamath_question_0.7_1.0_50_256 model-index: - name: MetaMath-Mistral-7B-DFT2 results: [] --- # MetaMath-Mistral-7B-DFT2 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the siqi00/mistral_metamath_question_0.7_1.0_50_256 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: 8e-07 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.45.2 - Pytorch 2.1.0+cu121 - Datasets 3.2.0 - Tokenizers 0.20.3