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jonaskoenig/topic_classification_04

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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topicclassification04

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', '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 AccuracyEpoch
1.07350.65030
0.97420.67991
0.94240.69002
0.91990.69703
0.90160.70264
0.88530.70735
0.87070.71206
0.85780.71607
0.84480.71998
0.83250.72379

Framework versions

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