DistilBERT Fine-tuned for AG News Classification

This model is a fine-tuned version of distilbert-ag-news-classifier on the AG News dataset.

Model Details

  • Model Type: DistilBERT for Sequence Classification
  • Dataset: AG News (sampled)
  • Training Technique: Fine-tuning for 1 epoch

Performance Metrics

  • Accuracy: 0.8870
  • Precision: 0.8864
  • Recall: 0.8870
  • F1 Score: 0.8861

Classes

  • 0: World
  • 1: Sports
  • 2: Business
  • 3: Sci/Tech
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Dataset used to train daQuincy/distilbert-ag-news-classifier