--- library_name: peft license: mit base_model: liyinghong/BioQwen-0.5B tags: - generated_from_trainer model-index: - name: lora-BioQwen-0.5B_2025-05-27_23-39 results: [] --- # lora-BioQwen-0.5B_2025-05-27_23-39 This model is a fine-tuned version of [liyinghong/BioQwen-0.5B](https://huggingface.co/liyinghong/BioQwen-0.5B) 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: 2e-05 - train_batch_size: 36 - eval_batch_size: 36 - seed: 42 - gradient_accumulation_steps: 36 - total_train_batch_size: 1296 - 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: cosine - lr_scheduler_warmup_steps: 100 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.15.1 - Transformers 4.50.2 - Pytorch 2.6.0+cu124 - Datasets 3.5.0 - Tokenizers 0.21.1