bart-kurd-spell-base

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1930
  • Cer: 1.5424
  • Wer: 8.3088
  • Gen Len: 12.6945

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: 256
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Cer Wer Gen Len
0.4548 1.54 20000 0.4117 2.8856 13.6181 12.7807
0.2723 3.07 40000 0.2736 2.1004 10.5883 12.6808
0.2246 4.61 60000 0.2303 1.8035 9.4897 12.7048
0.1812 6.14 80000 0.2122 1.6804 8.9349 12.6937
0.1693 7.68 100000 0.2001 1.589 8.5464 12.7045
0.1498 9.22 120000 0.1942 1.5546 8.3598 12.6935

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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