CoolFace
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IshanWarshamana/checkpoints

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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TrOCRPrintedSinahala_1

This model is a fine-tuned version of kavg/TrOCR-SIN-DeiT on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6949
  • —Cer: 0.1689

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —training_steps: 1000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer
0.09890.04441001.00410.1787
0.12650.08892000.74790.2270
0.03020.13333000.93960.1863
0.04830.17784000.69490.1689
0.06370.22225000.60220.1816
0.07260.26676000.68010.2083
0.01690.31117000.58280.1721
0.00840.35568000.54370.1750
0.02390.49000.54510.1744
0.02150.444410000.54700.1717

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1