--- library_name: peft license: llama3.2 base_model: meta-llama/Llama-3.2-11B-Vision-Instruct tags: - trl - sft - generated_from_trainer model-index: - name: amazon-descriptions_no_img_tester results: [] --- # amazon-descriptions_no_img_tester This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-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: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 32 - 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: constant - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.13.0 - Transformers 4.46.3 - Pytorch 2.5.1+cu124 - Datasets 3.0.1 - Tokenizers 0.20.3