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model:
arch: mini_gpt4_llama_v2
freeze_vit: True
freeze_qformer: True
max_txt_len: 512
low_resource: True
image_size: 224
end_sym: "</s>"
llama_model: "Qwen/Qwen2.5-7B-Instruct"
ckpt: "checkpoints/video_llama_checkpoint_last.pth"
use_grad_checkpoint: True
chat_template: True
lora_r: 64
lora_alpha: 16
length: 45
use_grad_checkpoint_llm: True
max_context_len: 3072
architectures: [
"MiniGPT4_Video"
]
device: "cuda"
drop_path_rate: 0.1
img_size: 224
model_type: "minigpt4_video"
num_query_token: 32
prompt: ""
torch_dtype: "float16"
transformers_version: "4.37.2"
vit_precision: "fp16"
vit_model: "eva_clip_g"
token_pooling: true
lora_target_modules: ["q_proj", "v_proj", "k_proj", "o_proj", "gate_proj", "up_proj"]
lora_dropout: 0.05
remove_template: false
prompt_path: ""
minigpt4_gpu_id: 0
whisper_gpu_id: 0
answer_module_gpu_id: 0
gradient_accumulation_steps: 1
warmup_steps: 100
save_steps: 1000
logging_steps: 50
eval_steps: 500
max_new_tokens: 512
temperature: 0.7
top_p: 0.9
do_sample: true
num_beams: 1
datasets:
video_chatgpt: #99378 row - 13224 video
batch_size: 2
num_workers: 2
vis_processor:
train:
name: "blip2_image_train"
image_size: 224
mean: [0.48145466, 0.4578275, 0.40821073]
std: [0.26862954, 0.26130258, 0.27577711]
eval:
name: "blip2_image_eval"
image_size: 224
text_processor:
train:
name: "blip_caption"
max_words: 512
eval:
name: "blip_caption"
max_words: 512
sample_ratio: 100
run:
seed: 42
amp: true
distributed: false
gpu_id: 0
world_size: 1
rank: 0
dataloader_num_workers: 2
pin_memory: true
persistent_workers: true
prefetch_factor: 2
clip_grad_norm: 1.0
weight_decay: 0.01
adam_epsilon: 1e-8
adam_beta1: 0.9
adam_beta2: 0.999
inference:
batch_size: 1
max_frames: 45
frame_interval: 2
subtitle_max_len: 400
enable_subtitles: true
whisper_model: "base"
response_format: "detailed"
include_timestamps: false
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