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beto_amazon_final_posneg

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1429
  • Train Accuracy: 0.9510
  • Validation Loss: 0.2942
  • Validation Accuracy: 0.8913
  • Epoch: 9

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': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.6474 0.6545 0.5618 0.7893 0
0.4576 0.8360 0.3672 0.8560 1
0.3088 0.8925 0.3096 0.8752 2
0.2529 0.9028 0.2888 0.8855 3
0.2177 0.9168 0.2876 0.8865 4
0.1973 0.9280 0.2921 0.8865 5
0.1792 0.9373 0.2844 0.8903 6
0.1686 0.9423 0.2859 0.8898 7
0.1525 0.9480 0.2884 0.8917 8
0.1429 0.9510 0.2942 0.8913 9

Framework versions

  • Transformers 4.17.0
  • TensorFlow 2.8.0
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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