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syabusyabu0141/er_discr_mlm_mix

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

  • Train Loss: 0.5862
  • Validation Loss: 0.9800
  • 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': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
2.5709 1.4056 0
1.2636 1.1135 1
0.9438 1.0089 2
0.7421 0.9596 3
0.5862 0.9800 4

Framework versions

  • Transformers 4.34.0
  • TensorFlow 2.13.0
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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