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model:
arch: mini_gpt4
model_type: pretrain_vicuna
freeze_vit: True
freeze_qformer: True
# low_resource: True
max_txt_len: 256
end_sym: "###"
prompt_template: '###Human: {} ###Assistant: '
# ckpt: '/home/ubuntu/proteinchat/minigpt4/output/Meta-Llama-3-8B-Instruct-hf/20240606190/checkpoint_2.pth'
ckpt: '/home/ubuntu/proteinchat/minigpt4/output/Llama-2-7b-chat-hf/20240606005/checkpoint_2.pth'
datasets:
cc_sbu_align:
vis_processor:
train:
name: "blip2_image_train"
image_size: 224
text_processor:
train:
name: "blip_caption"
run:
task: image_text_pretrain
# optimizer
lr_sched: "linear_warmup_cosine_lr"
init_lr: 1e-5
min_lr: 1e-6
warmup_lr: 1e-6
weight_decay: 0.05
max_epoch: 10
# iters_per_epoch: 762
batch_size_train: 1
batch_size_eval: 1
num_workers: 12
warmup_steps: 5000
seed: 42
# output_dir: "ft/Meta-Llama-3-8B-Instruct-hf/"
output_dir: "ft/Llama-2-7b-chat-hf/"
amp: True
resume_ckpt_path: null
evaluate: False
train_splits: ["train"]
device: "cuda"
world_size: 1
dist_url: "env://"
distributed: True
stage: 2
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