--- library_name: peft base_model: Qwen/Qwen2.5-VL-3B-Instruct tags: - base_model:adapter:Qwen/Qwen2.5-VL-3B-Instruct - lora - transformers pipeline_tag: text-generation model-index: - name: KVQA-LoRA-Mix-5E-NV results: [] --- # KVQA-LoRA-Mix-5E-NV This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) on an unknown 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: 2e-05 - train_batch_size: 6 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 6 - total_train_batch_size: 36 - 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: 20 - num_epochs: 5 ### Training results ### Framework versions - PEFT 0.18.1 - Transformers 5.3.0 - Pytorch 2.9.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
