--- library_name: peft tags: - trl - sft - generated_from_trainer base_model: llava-hf/llava-1.5-7b-hf model-index: - name: llava-1.5-7b-hf-ft-mix-vsft results: [] --- # llava-1.5-7b-hf-ft-mix-vsft This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on the None 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: 1.4e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.10.0 - Transformers 4.39.3 - Pytorch 2.3.0+cu121 - Datasets 2.19.0 - Tokenizers 0.15.2