--- library_name: transformers base_model: vukien2301/qwen3-0.6b-deita-sft-student tags: - alignment-handbook - generated_from_trainer datasets: - pvdhihihi/ultra-feedback model-index: - name: qwen3-0.6b-wpo results: [] --- # qwen3-0.6b-wpo This model is a fine-tuned version of [vukien2301/qwen3-0.6b-deita-sft-student](https://huggingface.co/vukien2301/qwen3-0.6b-deita-sft-student) on the pvdhihihi/ultra-feedback 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-07 - train_batch_size: 32 - eval_batch_size: 8 - seed: 42 - 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: 0.1 - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.57.6 - Pytorch 2.11.0+cu128 - Datasets 3.6.0 - Tokenizers 0.22.2