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mt5-small-km-phoneme

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5647
  • Rouge1: 86.1261
  • Rouge2: 75.069
  • Rougel: 85.8365
  • Rougelsum: 85.8199
  • Gen Len: 9.4504

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: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.0708 1.0 2514 0.7873 81.0997 66.3068 80.6177 80.6219 9.3808
0.8576 2.0 5028 0.6091 85.158 73.3987 84.8532 84.8374 9.4117
0.813 3.0 7542 0.5647 86.1261 75.069 85.8365 85.8199 9.4504

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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