--- library_name: peft license: other base_model: unsloth/Qwen3-4B tags: - base_model:adapter:unsloth/Qwen3-4B - llama-factory - lora - transformers - unsloth pipeline_tag: text-generation model-index: - name: CodeRM-SFT-Warmup-Selection-4B-LlamaFactory results: [] --- # CodeRM-SFT-Warmup-Selection-4B-LlamaFactory This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the sft_warmup_selection_combined 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 - gradient_accumulation_steps: 6 - total_train_batch_size: 12 - 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: 20 - num_epochs: 1.0 ### Training results ### Framework versions - PEFT 0.17.1 - Transformers 4.57.1 - Pytorch 2.7.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.2