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Sam4rano/paddleocr-vl15-yoruba-lora

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

Yorùbá OCR LoRA Adapter (PaddleOCR-VL-1.5)

This is a LoRA adapter for the PaddleOCR-VL-1.5 model, fine-tuned specifically for Yorùbá line crops as part of ongoing OCR research.

Training Details

  • —Dataset: ~2,300 unique Yorùbá text line images.
  • —Epochs: 5
  • —Architecture: LoRA (r=16) on Qwen2-VL visual/text projection layers.
  • —Normalization: Unicode NFC normalization with Yorùbá combining diacritics.

Research Results (Table 1 Comparison)

display_namecer_pctwer_pctder_pct
PaddleOCR PP-OCRv4 (EN pretrained)174.510084
Tesseract (eng)120.3153.598.5
Tesseract (yor)124.4163.787.7
Tesseract (eng+yor)122.616093.9
PaddleOCR-VL-1.5 (zero-shot)543.3840.9200.9
Qwen 2.5 VL (zero-shot)253.5329.5119.6

Usage

To use this adapter, load the base model using transformers and apply the adapter using peft.