--- library_name: peft license: other base_model: Qwen/Qwen3.5-4B tags: - base_model:adapter:Qwen/Qwen3.5-4B - llama-factory - lora - transformers pipeline_tag: text-generation model-index: - name: icd_names results: [] --- # icd_names This model is a fine-tuned version of [Qwen/Qwen3.5-4B](https://huggingface.co/Qwen/Qwen3.5-4B) on the icd_train_names 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: 0.0001 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05 - num_epochs: 3.0 ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.10.2 - Pytorch 2.11.0+cu130 - Datasets 4.8.5 - Tokenizers 0.22.2
