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jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references-D2

sourceHugging Facemitupdated 4y agoView on Hugging Face
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xtremedistil-l6-h256-uncased-future-time-references-D2

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on jonaskoenig/future-time-refernces-static-filter-D2 and jonaskoenig/trump_administration_statement. It achieves the following results on the evaluation set:

  • —Train Loss: 0.0055
  • —Train Sparse Categorical Accuracy: 0.9984
  • —Validation Loss: 0.0074
  • —Validation Sparse Categorical Accuracy: 0.9984
  • —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': 'Adam', 'learningrate': 5e-05, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • —training_precision: float32

Training results

Train LossTrain Sparse Categorical AccuracyValidation LossValidation Sparse Categorical AccuracyEpoch
0.03880.98910.01540.99570
0.01330.99620.00880.99751
0.00870.99740.00810.99782
0.00680.99800.00740.99823
0.00550.99840.00740.99844

The test accuracy is: 99.81%

Framework versions

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