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Rocketknight1/distilbert-base-uncased-finetuned-cola

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

  • Train Loss: 0.3182
  • Validation Loss: 0.4914
  • Train Matthews Correlation: 0.5056
  • Epoch: 1

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1602, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Matthews Correlation Epoch
0.5126 0.4638 0.4555 0
0.3182 0.4914 0.5056 1

Framework versions

  • Transformers 4.22.0.dev0
  • TensorFlow 2.9.1
  • Datasets 2.4.1.dev0
  • Tokenizers 0.11.0
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