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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: distilbert-base-uncased
model-index:
  - name: Zaib/distilbert-base-uncased-finetuned-cola
    results: []

Zaib/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: 0.5343
  • Validation Loss: 0.5940
  • Train Matthews Correlation: 0.2397
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 195, '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
0.6018 0.5886 0.0 0
0.5643 0.5950 0.0796 1
0.5343 0.5940 0.2397 2

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.8.2
  • Datasets 2.3.2
  • Tokenizers 0.12.1