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beto_amazon_posneu

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: 0.1277
  • Train Accuracy: 0.9550
  • Validation Loss: 0.3439
  • Validation Accuracy: 0.8905
  • 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': 5e-05, '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
0.3195 0.8712 0.3454 0.8580 0
0.1774 0.9358 0.3258 0.8802 1
0.1277 0.9550 0.3439 0.8905 2

Framework versions

  • Transformers 4.16.2
  • TensorFlow 2.7.0
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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