my_awesome_model / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: Electro98/my_awesome_model
    results: []

Electro98/my_awesome_model

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

  • Train Loss: 0.1447
  • Validation Loss: 0.1826
  • Train F1: 0.1535
  • Train Accuracy: 0.2915
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 135650, '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 F1 Train Accuracy Epoch
0.2025 0.1689 0.0051 0.0039 0
0.1938 0.1780 0.0683 0.1028 1
0.2008 0.1897 0.0055 0.0112 2
0.1826 0.1879 0.0754 0.0988 3
0.1740 0.1792 0.0848 0.0989 4
0.1909 0.1799 0.0294 0.1297 5
0.1983 0.1786 0.0675 0.2112 6
0.1905 0.1820 0.0962 0.2360 7
0.2033 0.1628 0.0778 0.2005 8
0.1653 0.1602 0.1280 0.2644 9
0.1656 0.1609 0.0836 0.2042 10
0.1584 0.1572 0.1323 0.2292 11
0.1633 0.1770 0.1140 0.2231 12
0.1588 0.1595 0.1145 0.2097 13
0.1538 0.1798 0.1448 0.3142 14
0.1552 0.1656 0.1531 0.2974 15
0.1514 0.1692 0.1905 0.3193 16
0.1490 0.1675 0.1692 0.2950 17
0.1462 0.1736 0.1522 0.2900 18
0.1447 0.1826 0.1535 0.2915 19

Framework versions

  • Transformers 4.27.4
  • TensorFlow 2.10.0
  • Datasets 2.18.0
  • Tokenizers 0.13.3