trocr-ur / README.md
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metadata
library_name: transformers
language:
  - ur
base_model: cxfajar197/urdu-ocr
tags:
  - generated_from_trainer
model-index:
  - name: trocr for Urdu
    results: []

trocr for Urdu

This model is a fine-tuned version of cxfajar197/urdu-ocr on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0120
  • Cer: 0.2500

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.4637 0.3188 1000 2.3244 0.3040
0.4822 0.6376 2000 2.2832 0.3015
0.5518 0.9563 3000 2.0469 0.2796
0.4168 1.2751 4000 2.1507 0.2900
0.375 1.5939 5000 2.0784 0.2744
0.3911 1.9127 6000 2.0120 0.2500

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0