--- base_model: hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200 tags: - trl - dpo - generated_from_trainer model-index: - name: llava-jp results: [] --- # dpo_visual_llavajp_refmodel This model is a fine-tuned version of [hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200](https://huggingface.co/hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200) 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 32 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1