GLM-OCR Vietnamese LoRA Adapter
LoRA adapter for GLM-OCR fine-tuned on mixed Vietnamese OCR data.
Training Data
5CD-AI/Viet-Handwriting-OCR-v2ademax/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 inferenceadapter_model.safetensors: original HF LoRA weightsadapter_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.
- Downloads last month
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Hardware compatibility
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