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rikeshVertex/paddleocr-nepali-stage1-thirdrun

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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Model Card

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paddleocr-nepali-stage1-thirdrun

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: 0.1672

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
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 32
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 2251
  • training_steps: 22512

Training results

Training LossEpochStepValidation Loss
0.61240.888910000.2542
0.31511.777820000.1858
0.42572.666730000.1601
0.21223.555640000.1526
0.15464.444450000.1481
0.07445.002756280.1476
0.22205.333360000.1535
0.25246.222270000.1541
0.13607.111180000.1520
0.10788.090000.1484
0.26658.8889100000.1480
0.16259.7778110000.1563
0.306110.6667120000.1567
0.117611.5556130000.1616
0.074712.4444140000.1657
0.090413.3333150000.1672

Framework versions

  • PEFT 0.19.1
  • Transformers 5.7.0
  • Pytorch 2.11.0+cu130
  • Tokenizers 0.22.2