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FelipeAD/mt5-small-SENTENCE_COMPRESSION

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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FelipeAD/mt5-small-SENTENCE_COMPRESSION

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

  • Train Loss: 1.1433
  • Validation Loss: 0.9768
  • Epoch: 3

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': 'AdamWeightDecay', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5.6e-05, 'decaysteps': 179848, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecay_rate': 0.01}
  • training_precision: float32

Training results

Train LossValidation LossEpoch
2.60461.19920
1.35861.08261
1.21781.02412
1.14330.97683

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.6.0
  • Datasets 2.3.2
  • Tokenizers 0.12.1