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model:
arch: minigpt4
model_type: pretrain_llama2
max_txt_len: 160
end_sym: "</s>"
prompt_path: "prompts/alignment.txt"
prompt_template: '[INST] {} [/INST] '
ckpt: '/path/to/stage1/checkpoint/'
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: 3e-5
min_lr: 1e-5
warmup_lr: 1e-6
weight_decay: 0.05
max_epoch: 5
iters_per_epoch: 200
batch_size_train: 12
batch_size_eval: 12
num_workers: 4
warmup_steps: 200
seed: 42
output_dir: "output/minigpt4_stage2_finetune"
amp: True
resume_ckpt_path: null
evaluate: False
train_splits: ["train"]
device: "cuda"
world_size: 1
dist_url: "env://"
distributed: True |