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beto_amazon_final_pnn

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: 0.5242
  • Train Accuracy: 0.7838
  • Validation Loss: 0.6507
  • Validation Accuracy: 0.7284
  • Epoch: 4

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
0.6129 0.7496 0.6588 0.7248 0
0.5850 0.7566 0.6505 0.7258 1
0.5604 0.7704 0.6484 0.7278 2
0.5407 0.7840 0.6503 0.7250 3
0.5242 0.7838 0.6507 0.7284 4

Framework versions

  • Transformers 4.16.2
  • TensorFlow 2.8.0
  • Datasets 1.18.3
  • Tokenizers 0.11.6
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