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formatted_address

This model is a fine-tuned version of google/mt5-small on the cwchang/tw_address_large dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0613
  • Rouge1: 99.396
  • Rouge2: 50.6957
  • Rougel: 99.3961
  • Rougelsum: 99.4032
  • Gen Len: 13.744

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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google/mt5-small
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Dataset used to train cwchang/formatted_address

Evaluation results