configs/evaluation.yaml

model:
  arch: mini_gpt4
  model_type: pretrain_vicuna
  freeze_vit: True
  freeze_qformer: True
  max_txt_len: 256
  end_sym: "###"
  low_resource: False 
  prompt_template: '###Human: {} ###Assistant: '
  # ckpt: '/home/ubuntu/proteinchat/minigpt4/ft/Llama-2-7b-chat-hf/20240610191/checkpoint_5.pth'
  ckpt: 'minigpt4/ft/Meta-Llama-3-8B-Instruct-hf/20240609203/checkpoint_5.pth'

datasets:
  cc_sbu_align:
    vis_processor:
      train:
        name: "blip2_image_eval"
        image_size: 224
    text_processor:
      train:
        name: "blip_caption"

run:
  task: image_text_pretrain