--- base_model: llava-hf/llava-v1.6-mistral-7b-hf library_name: peft license: apache-2.0 tags: - generated_from_trainer model-index: - name: docedit_finetuning_llava_next results: [] --- # docedit_finetuning_llava_next This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) 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: 0.0001 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 16 - optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 50 - num_epochs: 2 ### Training results ### Framework versions - PEFT 0.11.1 - Transformers 4.46.1 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.0