GLM-OCR Vietnamese LoRA Adapter

LoRA adapter for GLM-OCR fine-tuned on mixed Vietnamese OCR data.

Training Data

  • 5CD-AI/Viet-Handwriting-OCR-v2
  • ademax/ocr_scan_vi_01

Runtime

Use with llama.cpp / llama-server as:

llama-server \
  -hf ggml-org/GLM-OCR-GGUF \
  --lora adapter-f16.gguf

Artifacts

  • adapter-f16.gguf: GGUF LoRA adapter used by inference
  • adapter_model.safetensors: original HF LoRA weights
  • adapter_config.json: PEFT adapter config

Training Metrics

  • train_runtime: 10392.5138
  • train_loss: 0.6893482752761401
  • train_samples_per_second: 20.279
  • train_steps_per_second: 1.268
  • epoch: 3.0

Eval Metrics

  • eval_loss: 0.3983404338359833
  • eval_runtime: 69.8699
  • eval_samples_per_second: 28.625
  • eval_steps_per_second: 28.625
  • epoch: 3.0

All Results

  • epoch: 3.0
  • eval_loss: 0.3983404338359833
  • eval_runtime: 69.8699
  • eval_samples_per_second: 28.625
  • eval_steps_per_second: 28.625
  • total_flos: 2.4598838533767168e+17
  • train_loss: 0.6893482752761401
  • train_runtime: 10392.5138
  • train_samples_per_second: 20.279
  • train_steps_per_second: 1.268

Notes

  • Adapter is published separately and loaded at runtime from the Hugging Face repo.
  • Base model remains ggml-org/GLM-OCR-GGUF.
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