--- library_name: transformers license: mit base_model: ma921/phi-2-sft-hh-rlhf tags: - generated_from_trainer model-index: - name: phi2_dr_dpo_hh-rlhf_noise0_epoch1_gamma2 results: [] --- # phi2_dr_dpo_hh-rlhf_noise0_epoch1_gamma2 This model is a fine-tuned version of [ma921/phi-2-sft-hh-rlhf](https://huggingface.co/ma921/phi-2-sft-hh-rlhf) on an unknown 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: 1e-06 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - gradient_accumulation_steps: 128 - total_train_batch_size: 256 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.51.3 - Pytorch 2.6.0+cu124 - Datasets 3.6.0 - Tokenizers 0.21.1