model: | |
arch: medomni | |
model_type: medomni | |
freeze_vit: True | |
freeze_qformer: True | |
max_txt_len: 256 | |
end_sym: "###" | |
low_resource: False | |
datasets: | |
med: | |
vis_processor: | |
train: | |
name: "blip2_image_eval" | |
image_size: 224 | |
text_processor: | |
train: | |
name: "blip_caption" | |
run: | |
task: image_text_pretrain | |