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loay/English-Scanned-Document-OCR-LFM2.5-VL-450M-LoRA-Experimental

sourceHugging Faceotherupdated 6mo agoView on Hugging Face
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English-Scanned-Document-OCR-LFM2.5-VL-450M-LoRA-Experimental

This repository contains a LoRA adapter fine-tuned from LiquidAI/LFM2.5-VL-450M for English scanned/printed document OCR experiments.

The run was trained primarily for full-page transcription on synthetic and synthetic-style document data, with emphasis on scanned pages, dense text, reading order, and degraded print-like inputs.

This model is being published as an experiment record, not as a production OCR release.

What It Was Trained For

  • —English scanned and printed document OCR
  • —Full-page transcription
  • —Reading-order preservation
  • —Dense text and long-page OCR
  • —Some degraded/noisy document cases

What It Is Not

  • —Not a general-purpose OCR model
  • —Not validated as a robust out-of-domain document parser
  • —Not reliable for broad real-world generalization
  • —Not intended for handwriting, multilingual OCR, or production deployment without further validation

Training Summary

This adapter was fine-tuned from LiquidAI/LFM2.5-VL-450M.

Internal held-out evaluation showed improvements on some in-domain slices, especially long and noisy scanned-page transcription, but the gains did not scale consistently across broader distributions and did not demonstrate strong generalization.

Evaluation Notes

Results reported for this experiment should be interpreted as in-domain / internal evaluation only.

Key limitations:

  • —performance is sensitive to dataset distribution
  • —generalization outside the training-style data is limited
  • —behavior can be unstable across layout types
  • —benchmark transfer does not support claiming broad OCR capability

Intended Use

This repository is intended for:

  • —experiment tracking
  • —reproducibility
  • —adapter reuse for further OCR research on top of LFM2.5-VL-450M

It is not intended as a general end-user OCR checkpoint.

License

The upstream base model is released under the LFM Open License v1.0. Use of this adapter must comply with the base model license and its terms.