--- library_name: peft license: apache-2.0 base_model: HuggingFaceM4/Idefics3-8B-Llama3 tags: - generated_from_trainer datasets: - imagefolder model-index: - name: idefics3-qlora-faces6 results: [] --- # idefics3-qlora-faces6 This model is a fine-tuned version of [HuggingFaceM4/Idefics3-8B-Llama3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) 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: 0.0001 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - num_epochs: 1 ### Training results ### Framework versions - PEFT 0.13.2 - Transformers 4.45.0.dev0 - Pytorch 2.5.1+cu121 - Datasets 3.1.0 - Tokenizers 0.19.1