--- license: llama3 base_model: ZhangShenao/0.0001_1SELM_Llama_iter_2 tags: - trl - dpo - generated_from_trainer model-index: - name: 0.0001_1SELM_Llama_iter_3 results: [] --- # 0.0001_1SELM_Llama_iter_3 This model is a fine-tuned version of [ZhangShenao/0.0001_1SELM_Llama_iter_2](https://huggingface.co/ZhangShenao/0.0001_1SELM_Llama_iter_2) 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: 1e-07 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - 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: 1 ### Training results ### Framework versions - Transformers 4.40.2 - Pytorch 2.1.2+cu121 - Datasets 2.14.6 - Tokenizers 0.19.1