hanluzhi0429@gmail.com
98 lines
3.0 KiB
Bash
98 lines
3.0 KiB
Bash
#!/bin/bash
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dataset_name=$1
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cd /mnt/bn/vl-research/workspace/yhzhang/LLaVA
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# Install yolk3k if not installed
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if ! pip show yolk3k > /dev/null 2>&1; then
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pip install yolk3k
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fi
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pip install pydantic
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# Get the installed version of transformers
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installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2)
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# Get the latest version of transformers from PyPI
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latest_version=$(yolk -V transformers | cut -d ' ' -f 2)
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# Check if the installed version is not the latest
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if [ "$installed_version" != "4.36.2" ]; then
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pip install transformers==4.36.2
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fi
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# Get the installed version of deepspeed
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installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2)
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# Check if the installed version is not the latest
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if [ "$installed_version" != "0.12.2" ]; then
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pip install deepspeed==0.12.2
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fi
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# Install flash-atten if not installed
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if ! pip show flash-attn > /dev/null 2>&1; then
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pip install flash-attn --no-build-isolation
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fi
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################## MISTRAL ##################
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PROMPT_VERSION=mistral_instruct
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MODEL_VERSION="Mistral-7B-Instruct-v0.2"
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################## MISTRAL ##################
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################## project ##################
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PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain"
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################## data ##################
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DATA_NAME=$dataset_name
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# wandb configure
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export WANDB_API_KEY=e464cc107357c7b38e87f239bc3eb2ce5fb73c7c
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export WANDB_PROJECT=llava
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export WANDB_NAME=$PROJECT_NAME--$DATA_NAME--336px--unfreeze--anyres--sft
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export WANDB_MODE=online
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wandb online
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deepspeed --master_port 26000 \
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llava/train/train_mem.py \
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--deepspeed ./scripts/zero3.json \
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--model_name_or_path ./checkpoints/$MODEL_VERSION \
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--version $PROMPT_VERSION \
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--data_path ./playground/data/$DATA_NAME.json \
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--image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data \
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--vision_tower openai/clip-vit-large-patch14-336 \
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--pretrain_mm_mlp_adapter /mnt/bn/vl-research/workspace/project/2023/LLaVA/checkpoints/ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain/mm_projector.bin \
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--mm_vision_select_layer -2 \
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--mm_projector_type mlp2x_gelu \
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--mm_use_im_start_end False \
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--mm_use_im_patch_token False \
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--group_by_modality_length True \
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--image_aspect_ratio anyres \
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--image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \
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--mm_patch_merge_type spatial_unpad \
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--bf16 True \
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--output_dir ./checkpoints/$PROJECT_NAME--$DATA_NAME--336px--anyres--unfreeze--sft \
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--num_train_epochs 1 \
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--per_device_train_batch_size 16 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 1 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 50000 \
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--save_total_limit 1 \
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--learning_rate 2e-5 \
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--weight_decay 0. \
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--warmup_ratio 0.03 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--tf32 True \
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--model_max_length 2048 \
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--gradient_checkpointing True \
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--dataloader_num_workers 16 \
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