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summarization-mT5-base-allXsum_20230203

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.3421
  • Validation Loss: 2.0134
  • Train Rougel: tf.Tensor(0.23906478, shape=(), dtype=float32)
  • Epoch: 2

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Rougel Epoch
3.3550 2.2262 tf.Tensor(0.21612057, shape=(), dtype=float32) 0
2.5083 2.0820 tf.Tensor(0.23286958, shape=(), dtype=float32) 1
2.3421 2.0134 tf.Tensor(0.23906478, shape=(), dtype=float32) 2

Framework versions

  • Transformers 4.26.0
  • TensorFlow 2.9.2
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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