--- library_name: transformers license: apache-2.0 base_model: allenai/Olmo-3-1025-7B tags: - trl - dpo - generated_from_trainer model-index: - name: olmo3-7b-pilot5-dpo-instrumental results: [] --- # olmo3-7b-pilot5-dpo-instrumental This model is a fine-tuned version of [allenai/Olmo-3-1025-7B](https://huggingface.co/allenai/Olmo-3-1025-7B) 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: 5e-06 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - total_eval_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.55.4 - Pytorch 2.9.0+hpu_1.23.0-695.git8598e6d - Datasets 4.8.5 - Tokenizers 0.21.4