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arabic_auto_correction_byt5

This model is a fine-tuned version of google/byt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0016
  • Cer: 0.01
  • Bleu: 0.9381

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 16

Training results

Training Loss Epoch Step Validation Loss Cer Bleu
No log 1.0 1000 0.0049 0.03 0.7215
1.1488 2.0 2000 0.0034 0.02 0.8014
1.1488 3.0 3000 0.0026 0.01 0.8477
0.0041 4.0 4000 0.0022 0.01 0.8757
0.0041 5.0 5000 0.0019 0.01 0.8919
0.0026 6.0 6000 0.0018 0.01 0.8988
0.0026 7.0 7000 0.0017 0.01 0.9118
0.0018 8.0 8000 0.0016 0.01 0.9173
0.0018 9.0 9000 0.0016 0.01 0.9219
0.0013 10.0 10000 0.0016 0.01 0.9249
0.0013 11.0 11000 0.0016 0.01 0.9284
0.001 12.0 12000 0.0017 0.01 0.9318
0.001 13.0 13000 0.0016 0.01 0.9354
0.0008 14.0 14000 0.0016 0.01 0.9344
0.0008 15.0 15000 0.0016 0.01 0.9386
0.0006 16.0 16000 0.0016 0.01 0.9381

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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