---
library_name: transformers
license: mit
base_model: microsoft/Florence-2-base-ft
model-index:
- name: Florence-2-OCRJP-remake4
  results: []
datasets:
- EtashGuha/JapaneseDocQA
---

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# Florence-2-OCRJP-remake4

This model is a fine-tuned version of [microsoft/Florence-2-base-ft](https://huggingface.co/microsoft/Florence-2-base-ft) on [EtashGuha/JapaneseDocQA](https://huggingface.co/datasets/EtashGuha/JapaneseDocQA) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.76

Add new model layer OCR_JP for OCR for Japanese sentences.

## Model description

Please use new task prompt "OCR_JP" Instead of "OCR", so you can get results of OCR task in Japanese words.

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

### Training results

### Framework versions

- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.20.3