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paddleocr-nepali-stage2-handwritten-fullft-run2
rikeshVertex/paddleocr-nepali-stage2-handwritten-fullft-run2
paddleocr-nepali-stage2-handwritten-fullft-run2 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
- May 30, 2026
- Updated
- May 30, 2026
- SHA
- 1c2794e5
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-handwritten-fullft-run2
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: 0.0922
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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
- training_steps: 2730
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3594 | 0.2199 | 100 | 0.8548 |
| 0.4657 | 0.4398 | 200 | 0.5001 |
| 0.3191 | 0.6597 | 300 | 0.3355 |
| 0.3135 | 0.8796 | 400 | 0.2572 |
| 0.2543 | 1.0990 | 500 | 0.2040 |
| 0.1428 | 1.3189 | 600 | 0.1798 |
| 0.1596 | 1.5388 | 700 | 0.1569 |
| 0.0850 | 1.7587 | 800 | 0.1463 |
| 0.0741 | 1.9786 | 900 | 0.1291 |
| 0.1349 | 2.1979 | 1000 | 0.1216 |
| 0.1149 | 2.4178 | 1100 | 0.1147 |
| 0.0787 | 2.6377 | 1200 | 0.1133 |
| 0.0954 | 2.8576 | 1300 | 0.1069 |
| 0.0598 | 3.0770 | 1400 | 0.1033 |
| 0.0809 | 3.2969 | 1500 | 0.1009 |
| 0.0613 | 3.5168 | 1600 | 0.1003 |
| 0.0596 | 3.7367 | 1700 | 0.0999 |
| 0.0581 | 3.9566 | 1800 | 0.0998 |
| 0.0616 | 4.0 | 1820 | 0.0998 |
| 0.0838 | 4.1759 | 1900 | 0.0981 |
| 0.0656 | 4.3958 | 2000 | 0.0972 |
| 0.0515 | 4.6157 | 2100 | 0.0964 |
| 0.0634 | 4.8356 | 2200 | 0.0957 |
| 0.0411 | 5.0550 | 2300 | 0.0947 |
| 0.0391 | 5.2749 | 2400 | 0.0923 |
| 0.1055 | 5.4948 | 2500 | 0.0923 |
| 0.0774 | 5.7147 | 2600 | 0.0924 |
| 0.0692 | 5.9346 | 2700 | 0.0923 |
| 0.0530 | 6.0 | 2730 | 0.0922 |
Framework versions
- PEFT 0.19.1
- Transformers 5.7.0
- Pytorch 2.11.0+cu130
- Tokenizers 0.22.2
- Library
- peft
- Created
- May 30, 2026
- Updated
- May 30, 2026