metadata
license: cc-by-nc-3.0
metrics:
- accuracy
- f1
- recall
- precision
base_model:
- distilbert/distilbert-base-uncased
tags:
- event_extraction
- email
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.