--- library_name: peft license: other base_model: Qwen/Qwen3-VL-4B-Instruct tags: - base_model:adapter:Qwen/Qwen3-VL-4B-Instruct - llama-factory - lora - transformers pipeline_tag: text-generation model-index: - name: Qwen3-VL-4B_lora_vln_r2r_90 results: [] --- # Qwen3-VL-4B_lora_vln_r2r_90 This model is a fine-tuned version of [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) on the R2R_90 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: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - 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: linear - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 3.0 ### Training results ### Framework versions - PEFT 0.17.1 - Transformers 4.57.1 - Pytorch 2.6.0+cu124 - Datasets 4.0.0 - Tokenizers 0.22.2
