DistilBERT-based Named Entity Recognition (NER) Model for Event Extraction

This repository contains a fine-tuned DistilBERT model for extracting event-related entities such as:

  • Event Name
  • Date
  • Time
  • Venue

The model is trained on a custom NER dataset with the goal of accurately parsing event details from plain text, such as emails or notifications.


Model Details

  • Base Model: distilbert-base-uncased
  • Task: Token Classification (NER)
  • Fine-Tuned On: Custom annotated dataset for events
  • Framework: HuggingFace Transformers
  • Library Versions:
    • transformers: 4.25+
    • datasets: 2.10+
    • torch: 1.13+
    • seqeval: for evaluation metrics

Labels Used

EVENT_NAME
DATE
TIME
VENUE
O  # Outside any entity

Contributors


License

This model is licensed under CC BY-NC 3.0.
For research and educational use only.


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