Qwen3 5 9b Full Sft Prm R2egym Swebench Instructions K5 Cwm Plus Qwen

--- library_name: transformers license: other base_model: Qwen/Qwen3.5-9B tags: - llama-factory - full - generated_from_trainer model-index: - name: qwen3_5-9b-full-sft-prm-r2egym-swebench-instructions-k5-cwm-plus-qwen-opus-distill-32k-multiturn results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # qwen3_5-9b-full-sft-prm-r2egym-swebench-instructions-k5-cwm-plus-qwen-opus-distill-32k-multiturn This model is a fine-tuned version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) on the prm_sft_train 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: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 8 - total_eval_batch_size: 64 - 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: 0.1 - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 5.2.0 - Pytorch 2.9.1+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 11 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo shubhamrgandhi/qwen3_5-9b-full-sft-prm-r2egym-swebench-instructions-k5-cwm-plus-qwen