Thiyaga158/Distilbert_Ner_Model_For_Email_Event_Extraction

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

• —Thiyaga158
• —Hansika08

License

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