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paddleocr-nepali-stage2-hw-digital-neg-fullft
rikeshVertex/paddleocr-nepali-stage2-hw-digital-neg-fullft
paddleocr-nepali-stage2-hw-digital-neg-fullft is a machine learning model from rikeshVertex. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jun 4, 2026
- Updated
- Jun 4, 2026
- SHA
- ae445e07
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. -->
paddleocr-nepali-stage2-hw-digital-neg-fullft
This model is a fine-tuned version of rikeshVertex/paddleocr-nepali-stage1-merged on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0665
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: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 36
- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 261
- training_steps: 2612
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2476 | 0.2298 | 150 | 0.4683 |
| 0.1441 | 0.4597 | 300 | 0.2510 |
| 0.0969 | 0.6895 | 450 | 0.1371 |
| 0.0926 | 0.9193 | 600 | 0.1173 |
| 0.0695 | 1.1486 | 750 | 0.1015 |
| 0.0597 | 1.3784 | 900 | 0.0959 |
| 0.0594 | 1.6083 | 1050 | 0.0847 |
| 0.0541 | 1.8381 | 1200 | 0.0768 |
| 0.0529 | 2.0674 | 1350 | 0.0749 |
| 0.0503 | 2.2972 | 1500 | 0.0772 |
| 0.0556 | 2.5271 | 1650 | 0.0748 |
| 0.0508 | 2.7569 | 1800 | 0.0701 |
| 0.0483 | 2.9867 | 1950 | 0.0630 |
| 0.0378 | 3.2160 | 2100 | 0.0693 |
| 0.0373 | 3.4459 | 2250 | 0.0636 |
| 0.0530 | 3.6757 | 2400 | 0.0642 |
| 0.0496 | 3.9055 | 2550 | 0.0647 |
| 0.0452 | 4.0 | 2612 | 0.0665 |
Framework versions
- PEFT 0.19.1
- Transformers 5.7.0
- Pytorch 2.11.0+cu130
- Tokenizers 0.22.2
- Library
- peft
- Created
- Jun 4, 2026
- Updated
- Jun 4, 2026