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byt5-small-cmudict

This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0802
  • Per: 0.1151
  • Gen Len: 14.6046

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
  • train_batch_size: 128
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss Per Gen Len
1.1569 1.0 845 0.1433 0.1751 14.5711
0.1409 2.0 1690 0.1049 0.1383 14.5844
0.1073 3.0 2535 0.0901 0.1281 14.6058
0.0927 4.0 3380 0.0855 0.1237 14.5798
0.0833 5.0 4225 0.0839 0.1207 14.6139
0.0762 6.0 5070 0.0809 0.118 14.5913
0.0707 7.0 5915 0.0810 0.1171 14.6055
0.0667 8.0 6760 0.0796 0.1166 14.6025
0.0638 9.0 7605 0.0793 0.115 14.6115
0.0609 10.0 8450 0.0802 0.1151 14.6046

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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