llava-1.5_eval.yaml

model:
  arch: llava-1.5
  model_type: vicuna7b
  freeze_vit: True
  freeze_backbone: True
  tune_mm_mlp_adapter: False
  freeze_mm_mlp_adapter: True
  max_txt_len: 160
  end_sym: "###"
  low_resource: False
  # prompt_path: "prompts/alignment.txt"
  prompt_template: 'USER: {} ASSISTANT: '
  system_message: "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions."
  merged_ckpt: "liuhaotian/llava-v1.5-7b"


datasets:
  cc_sbu_align:
    vis_processor:
      train:
        name: "clip_image_eval"
        proc_type: "openai/clip-vit-large-patch14-336"
    text_processor:
      train:
        name: "blip_caption"

run:
  task: image_text_pretrain
  seed: 42