--- library_name: peft license: apache-2.0 base_model: Qwen/Qwen2.5-VL-7B-Instruct tags: - base_model:adapter:Qwen/Qwen2.5-VL-7B-Instruct - lora - transformers datasets: - imagefolder pipeline_tag: text-generation model-index: - name: agente-cl-ft results: [] --- # agente-cl-ft This model is a fine-tuned version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) on the imagefolder 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: 3e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 4.49.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.21.4
