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topic_classification_04

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.8325
  • Train Sparse Categorical Accuracy: 0.7237
  • 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Sparse Categorical Accuracy Epoch
1.0735 0.6503 0
0.9742 0.6799 1
0.9424 0.6900 2
0.9199 0.6970 3
0.9016 0.7026 4
0.8853 0.7073 5
0.8707 0.7120 6
0.8578 0.7160 7
0.8448 0.7199 8
0.8325 0.7237 9

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.9.1
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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