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model:
arch: mini_gpt4_llama_v2
model_type: pretrain_vicuna
freeze_vit: True
freeze_qformer: True
max_txt_len: 512
low_resource: False
image_size: 224
end_sym: "</s>"
llama_model: "mistralai/Mistral-7B-Instruct-v0.2"
ckpt: "checkpoints/video_captioning_mistral_checkpoint_last.pth"
use_grad_checkpoint: True
chat_template: True
lora_r: 64
lora_alpha: 16
length: 50
use_grad_checkpoint_llm: True
max_context_len: 7200
datasets:
video_chatgpt: #99378 row - 13224 video
batch_size: 1
vis_processor:
train:
name: "blip2_image_train"
image_size: 224
text_processor:
train:
name: "blip_caption"
sample_ratio: 200
run:
task: image_text_pretrain
# optimizer
lr_sched: "linear_warmup_cosine_lr"
init_lr: 1e-4
min_lr: 8e-5
warmup_lr: 1e-6
weight_decay: 0.05
max_epoch: 50
num_workers: 16
warmup_steps: 875
iters_per_epoch: 875
seed: 42
output_dir: "training_output/pretrained_video_instruct"
amp: True
resume_ckpt_path: null
evaluate: False
train_splits: ["train"]
device: "cuda"
world_size: 1
dist_url: "env://"
distributed: True
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