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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Base model
distilbert/distilbert-base-uncased