forked from Repo for summer23 internship project on multimodal CoT under tejas1995
git clone --recurse-submodules https://github.com/Flora-jia-jfr/blip2_finetune.git
cd src/
Create conda environment
conda create -n mcot python=3.8
conda activate mcot
Install packages:
pip install -e modules/LAVIS/
python -m spacy download en_core_web_sm
pip install openai wandb nltk accelerate
Install NLTK resources:
import nltk; nltk.download('popular')
Modify paths of output_dir and wandb_config_file in L305-306 of train.py and, from src/, run the following command:
accelerate -W ignore launch train.py \
--model_config_file configs/model_configs/blip2_flant5xl.yaml \
--training_config_file configs/training_configs/aokvqa_train_blip2.yaml \
--mode q2a
You will have to first configure accelerate to use 2 GPUs on a single machine. It's been a while since I did this, but the documentation should tell you how.
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