Instructions to use rikeshVertex/paddleocr-nepali-stage1-secondrun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rikeshVertex/paddleocr-nepali-stage1-secondrun with PEFT:
Task type is invalid.
- Transformers
How to use rikeshVertex/paddleocr-nepali-stage1-secondrun with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rikeshVertex/paddleocr-nepali-stage1-secondrun", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
paddleocr-nepali-stage1-secondrun
This model is a fine-tuned version of strangervisionhf/PaddleOCR-VL-1.5-hf-transformers-v5.2.0.dev0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1480
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 1125
- training_steps: 11256
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6124 | 0.8889 | 1000 | 0.2542 |
| 0.3151 | 1.7778 | 2000 | 0.1858 |
| 0.4257 | 2.6667 | 3000 | 0.1601 |
| 0.2122 | 3.5556 | 4000 | 0.1526 |
| 0.1546 | 4.4444 | 5000 | 0.1481 |
| 0.0744 | 5.0027 | 5628 | 0.1476 |
| 0.2220 | 5.3333 | 6000 | 0.1535 |
| 0.2524 | 6.2222 | 7000 | 0.1541 |
| 0.1360 | 7.1111 | 8000 | 0.1520 |
| 0.1078 | 8.0 | 9000 | 0.1484 |
| 0.2665 | 8.8889 | 10000 | 0.1480 |
Framework versions
- PEFT 0.19.1
- Transformers 5.7.0
- Pytorch 2.11.0+cu130
- Tokenizers 0.22.2
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Model tree for rikeshVertex/paddleocr-nepali-stage1-secondrun
Base model
baidu/ERNIE-4.5-0.3B-Paddle Finetuned
PaddlePaddle/PaddleOCR-VL-1.5