--- tags: - generated_from_trainer datasets: - gqa_script model-index: - name: clip-roberta-finetuned_GQA results: [] --- # clip-roberta-finetuned_GQA This model was trained from scratch on the gqa_script 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results ### Framework versions - Transformers 4.26.1 - Pytorch 1.11.0 - Datasets 2.10.1 - Tokenizers 0.13.2