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finetune_lora_molcap.sh
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finetune_lora_molcap.sh
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#!/bin/bash
# Uncomment and set the following variables correspondingly to run this script:
################## VICUNA ##################
PROMPT_VERSION=v1
MODEL_VERSION="vicuna-v1-3-7b"
################## VICUNA ##################
################## LLaMA-2 ##################
# PROMPT_VERSION="llava_llama_2"
# MODEL_VERSION="llama-2-7b-chat"
################## LLaMA-2 ##################
GRAPH_TOWER="moleculestm"
if [ "$GRAPH_TOWER" == "graphmvp" ]; then
INIT_CHECKPOINT_GNN="./checkpoints/graphmvp.pth"
elif [ "$GRAPH_TOWER" == "moleculestm" ]; then
INIT_CHECKPOINT_GNN="./checkpoints/MoleculeSTM/molecule_model.pth"
else
echo "Not supported graph tower"
fi
CHECKPOINT_FOLDER_PREFIX="./checkpoints/Graph-LLaVA"
TASK="molcap"
deepspeed llava/train/train_mem.py \
--deepspeed scripts/zero2.json \
--lora_enable True \
--model_name_or_path ./checkpoints/$MODEL_VERSION \
--version $PROMPT_VERSION \
--data_path /cto_labs/AIDD/DATA/MolT5/ChEBI-20_data/train.pkl \
--graph_tower $GRAPH_TOWER \
--init_checkpoint $INIT_CHECKPOINT_GNN \
--pretrain_mm_mlp_adapter $CHECKPOINT_FOLDER_PREFIX/llava-$GRAPH_TOWER-$MODEL_VERSION-pretrain/checkpoint-48000/mm_projector.bin \
--mm_use_im_start_end False \
--mm_use_im_patch_token False \
--bf16 True \
--output_dir $CHECKPOINT_FOLDER_PREFIX/$TASK-llava-$GRAPH_TOWER-$MODEL_VERSION-finetune_lora \
--num_train_epochs 50 \
--per_device_train_batch_size 16 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 1 \
--evaluation_strategy "no" \
--save_strategy "epoch" \
--save_total_limit 10 \
--learning_rate 8e-5 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--tf32 True \
--model_max_length 2048 \
--gradient_checkpointing True \
--lazy_preprocess True \
--dataloader_num_workers 4 \
--report_to none