A Experiment Details

CC BY and have been used extensively by the research communities. Fine-tuning Table A2 summarizes the hyperparameters used for ASR fine-tuning. By default, the one pre-trained with modality dropout is used. Table B4 shows how fine-tuning modality dropout configurations affect ASR performance. Next, we study the impact of hyperparameters when fine-tuning on unimodal data.