96 lines
2.9 KiB
Bash
Executable File
96 lines
2.9 KiB
Bash
Executable File
#!/bin/bash
|
|
|
|
cd /mnt/bn/vl-research/workspace/boli01/zzzprojects/LLaVA
|
|
|
|
# Install yolk3k if not installed
|
|
if ! pip show yolk3k > /dev/null 2>&1; then
|
|
pip install yolk3k
|
|
fi
|
|
|
|
# Get the installed version of transformers
|
|
installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2)
|
|
|
|
# Get the latest version of transformers from PyPI
|
|
latest_version=$(yolk -V transformers | cut -d ' ' -f 2)
|
|
|
|
# Check if the installed version is not the latest
|
|
if [ "$installed_version" != "$latest_version" ]; then
|
|
pip install -U transformers
|
|
fi
|
|
|
|
# Get the installed version of deepspeed
|
|
installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2)
|
|
|
|
# Get the latest version of deepspeed from PyPI
|
|
latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2)
|
|
|
|
# Check if the installed version is not the latest
|
|
# pip install deepspeed==0.12.2
|
|
if [ "$installed_version" != "$latest_version" ]; then
|
|
pip install deepspeed==0.12.2
|
|
fi
|
|
|
|
# Install flash-attn if not installed
|
|
if ! pip show flash-attn > /dev/null 2>&1; then
|
|
pip install flash-attn --no-build-isolation
|
|
fi
|
|
|
|
################## VICUNA ##################
|
|
PROMPT_VERSION=v1
|
|
MODEL_VERSION="vicuna-7b-v1-5"
|
|
################## VICUNA ##################
|
|
|
|
|
|
################## project ##################
|
|
PROJECT_NAME="ds_llava-vicuna-7b-v1-5-mlp2x_gelu-pretrain_blip558k_plain"
|
|
|
|
################## data ##################
|
|
DATA_NAME="mixtral_instruct_158K_V1"
|
|
|
|
# wandb configure
|
|
export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953"
|
|
wandb login $WANDB_API_KEY
|
|
|
|
export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME
|
|
|
|
export WANDB_PROJECT=LLaVA_Mixtral
|
|
|
|
export WANDB_MODE=online
|
|
|
|
# wandb online
|
|
|
|
deepspeed --master_port 26000 \
|
|
llava/train/train_mem.py \
|
|
--deepspeed ./scripts/zero2.json \
|
|
--model_name_or_path ./checkpoints/$MODEL_VERSION \
|
|
--version $PROMPT_VERSION \
|
|
--data_path ./playground/data/$DATA_NAME.json \
|
|
--image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data/coco/train2017 \
|
|
--vision_tower openai/clip-vit-large-patch14 \
|
|
--pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \
|
|
--mm_vision_select_layer -2 \
|
|
--mm_projector_type mlp2x_gelu \
|
|
--mm_use_im_start_end False \
|
|
--mm_use_im_patch_token False \
|
|
--bf16 True \
|
|
--output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \
|
|
--num_train_epochs 1 \
|
|
--per_device_train_batch_size 16 \
|
|
--per_device_eval_batch_size 4 \
|
|
--gradient_accumulation_steps 1 \
|
|
--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 16 \
|
|
--lazy_preprocess True \
|
|
--report_to wandb
|