Image-to-Text
PEFT
Safetensors
Vietnamese
paddleocr_vl
paddleocr
paddleocr-vl
ocr
handwriting
vietnamese
lora
custom_code
Instructions to use tieubaoca/ArchVision-OCR-LORA-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tieubaoca/ArchVision-OCR-LORA-vi with PEFT:
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- Notebooks
- Google Colab
- Kaggle
ArchVision-OCR-LORA-vi
LoRA adapter fine-tuned for PaddleOCR-VL-1.6 on Vietnamese OCR and Document Layout Recognition datasets:
- Base model:
- LoRA rank: 16 (alpha: 32)
- Target modules: Text Decoder (18 layers, ~12.1M trainable parameters)
- Epochs: 3.0 (9,166 steps)
Training Datasets:
- (Vietnamese Handwriting)
- (Table Recognition OTSL)
- (Document scan)
- (Title / Uppercase OCR)
Performance:
- Overall CER: Reduced from 14.76% to 5.80% (over 60% relative error reduction)
- Exact Match: Increased from 21.8% to 44.3%
- Handwriting CER (UIT_HWDB): Reduced from 22.5% to 5.6%
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Model tree for tieubaoca/ArchVision-OCR-LORA-vi
Base model
PaddlePaddle/PaddleOCR-VL-1.6