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wikibert-ten

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

  • Train Loss: 8.0044
  • Validation Loss: 8.0857
  • 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
8.1459 8.0861 0
8.0552 8.0951 1
8.0471 8.0924 2
8.0371 8.0916 3
8.0238 8.1087 4
8.0357 8.0828 5
8.0138 8.1030 6
8.0081 8.1145 7
8.0061 8.1055 8
8.0044 8.0857 9

Framework versions

  • Transformers 4.37.0
  • TensorFlow 2.15.0
  • Datasets 2.17.1
  • Tokenizers 0.15.1
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