Clarification on JSON Lines Dataset for Multi-Task Fine-Tuning of Florence-2
Hi everyone,
I came across the notebook discussing how to fine-tune Florence-2 for Object Detection, and I have a question regarding the structure of the JSON Lines dataset when fine-tuning for multiple tasks.
Specifically, how should the dataset be formatted if I want to fine-tune for more than one task?
Should the prefix field be a list of task string IDs, while the suffix field contains a list of strings that represent the answers for each task? For example, would the following structure be correct?
{
"prefix": ["<OD>", "<OCR>"],
"suffix": [
"ace of hearts<loc_345><loc_315><loc_582><loc_721>2 of hearts<loc_709><loc_115><loc_888><loc_509>3 of hearts<loc_529><loc_228><loc_735><loc_613>4 of hearts<loc_98><loc_421><loc_415><loc_845>",
"answer_for_ocr"
]
}
Additionally, is there a guide available on how to format datasets for each task?
I appreciate any guidance on this!
Thank you!
@mariaac looking into it
Hi @Andyrasika ,
What about finetuning for OCR with region?
Should the dataset be formatted in a similar way to the OD dataset?
{"image": "path/to/image.png", "prefix": "<OCR_WITH_REGION>", "suffix": "US<loc_895><loc_505><loc_965><loc_555>Hugging Face<loc_647><loc_164><loc_747><loc_216>"}
I haven't found any example for finetuning for this task