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LightOnOCR-2-1B-pl-pdf
aquaqamelob/LightOnOCR-2-1B-pl-pdf
LightOnOCR-2-1B-pl-pdf is a text generation model from aquaqamelob. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 18, 2026
Repo size
11.4 MB
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Repo makeup
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.json11.4 MB · 100%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 18, 2026
- SHA
- 67374095
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
LightOnOCR-2-ft-polish_pdf
This model is a fine-tuned version of lightonai/LightOnOCR-2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0080
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.05
- training_steps: 250
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0301 | 0.3137 | 50 | 0.0162 |
| 0.0069 | 0.6275 | 100 | 0.0090 |
| 0.0108 | 0.9412 | 150 | 0.0083 |
| 0.0070 | 1.2510 | 200 | 0.0081 |
| 0.0145 | 1.5647 | 250 | 0.0080 |
Framework versions
- PEFT 0.19.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Created
- May 18, 2026
- Updated
- May 18, 2026