bert_3

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

  • Train Loss: 6.0851
  • Epoch: 19

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': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Epoch
8.8352 0
6.8732 1
6.6390 2
6.3008 3
6.5051 4
6.3542 5
6.2322 6
6.2831 7
6.3018 8
6.2346 9
6.1593 10
6.1451 11
6.1091 12
6.1909 13
6.1473 14
6.0694 15
5.9517 16
6.1890 17
6.1535 18
6.0851 19

Framework versions

  • Transformers 4.33.1
  • TensorFlow 2.10.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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