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Running
on
A10G
Running
on
A10G
File size: 1,471 Bytes
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DATA_ROOT="llava_all_image_video"
HF_DATASETS_OFFLINE=1 TRANSFORMERS_OFFLINE=1 CUDA_VISIBLE_DEVICES=0,1,2,3 deepspeed llava/train/train_mem.py \
--deepspeed ./scripts/zero2.json \
--model_name_or_path lmsys/vicuna-7b-v1.5 \
--version v1 \
--data_path train_json/videochatgpt_llavaimage_tune.json \
--video_folder ${DATA_ROOT} \
--image_folder ${DATA_ROOT} \
--X "Video" "Image" \
--video_tower LanguageBind/LanguageBind_Video \
--image_tower LanguageBind/LanguageBind_Image \
--pretrain_mm_mlp_adapter checkpoints/Video-LLaVA-Pretrain-7B/mm_projector.bin \
--mm_projector_type mlp2x_gelu \
--mm_vision_select_layer -2 \
--mm_use_x_start_end False \
--mm_use_x_patch_token False \
--image_aspect_ratio pad \
--group_by_modality_length True \
--bf16 True \
--output_dir ./checkpoints/Video-LLaVA-7B \
--num_train_epochs 1 \
--per_device_train_batch_size 16 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 2 \
--evaluation_strategy "no" \
--save_strategy "steps" \
--save_steps 50000 \
--save_total_limit 1 \
--learning_rate 2e-5 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--tf32 True \
--model_max_length 2048 \
--gradient_checkpointing True \
--dataloader_num_workers 8 \
--lazy_preprocess True \
--report_to tensorboard \
--cache_dir "./cache_dir"
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