--- library_name: transformers license: other base_model: hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0 tags: - llama-factory - full - generated_from_trainer model-index: - name: LLM4Cov-Qwen3-4B-SFT-Stage1 results: [] --- # LLM4Cov-Qwen3-4B-SFT-Stage1 This model is a fine-tuned version of [hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0](https://huggingface.co/hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0) on the cvdp_ecov_train_stage1 dataset. ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 6 - total_train_batch_size: 24 - total_eval_batch_size: 32 - 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_ratio: 0.03 - num_epochs: 1.0 ### Framework versions - Transformers 4.57.1 - Pytorch 2.6.0+cu124 - Datasets 4.0.0 - Tokenizers 0.22.1