Finetuning and dataset formatting guidelines

[hinsonan]

Very cool work and congrats on what you have accomplished. Wanted to know if you all had plans to release a finetuning guide and how to format datasets

[machuofan]

Hi there, thanks for your interest in our work. Here are some tips you may follow to finetune the model on customized datasets:

1. Format your data. There are various dataset templates under groma/data/datasets. For example, you can refer to refcoco_rec.py to format REC data, visual_genome.py for region captioning, llava.py for conversation, and so on. BTW, don't forget to register the new dataset in groma/data/build.py.
2. Download the pretrained checkpoint groma-7b-pretrain.
3. Config groma/data/configs/vl_finetune.py and scripts/vl_finetune.sh, then run
   bash scripts/vl_finetune.sh {path_to_groma_7b_pretrain_ckpt} {output_dir}.

[hinsonan]

thank you for your response. Perhaps if i have some time i can update documentation and provide a fine-tuning section. Someone else may be able to get to it sooner than me