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ZachBeesley/mt5-small-finetuned-amazon-en-es

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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ZachBeesley/mt5-small-finetuned-amazon-en-es

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: 4.0941
  • Validation Loss: 3.3710
  • Epoch: 7

Model description

Text-summarization model that can summarize English and Spanish contexts.

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': 9672, '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}
  • trainingprecision: mixedfloat16

Training results

Train LossValidation LossEpoch
9.31164.23380
5.87323.73471
5.13413.57662
4.72323.49233
4.46413.43834
4.29743.40195
4.16153.37976
4.09413.37107

Framework versions

  • Transformers 4.30.2
  • TensorFlow 2.12.0
  • Datasets 2.13.1
  • Tokenizers 0.13.3