--- library_name: transformers license: apache-2.0 base_model: Qwen/Qwen3-8B tags: - llama-factory - full - generated_from_trainer model-index: - name: nl2bash-GLM-4_6-traces-newhparams results: [] --- # nl2bash-GLM-4_6-traces-newhparams This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the DCAgent/nl2bash-GLM-4.6-traces 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 - distributed_type: multi-GPU - num_devices: 16 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - total_eval_batch_size: 128 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.87,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.005 - num_epochs: 8.0 ### Training results ### Framework versions - Transformers 4.56.0 - Pytorch 2.7.0+cu128 - Datasets 3.6.0 - Tokenizers 0.22.1