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README.md
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tags:
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- event_extraction
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- email
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tags:
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- event_extraction
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- email
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---
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# DistilBERT-based Named Entity Recognition (NER) Model for Event Extraction
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This repository contains a fine-tuned `DistilBERT` model for extracting **event-related entities** such as:
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- **Event Name**
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- **Date**
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- **Time**
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- **Venue**
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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.
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---
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## Model Details
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- **Base Model:** `distilbert-base-uncased`
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- **Task:** Token Classification (NER)
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- **Fine-Tuned On:** Custom annotated dataset for events
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- **Framework:** [HuggingFace Transformers](https://huggingface.co/transformers/)
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- **Library Versions:**
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- `transformers`: 4.25+
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- `datasets`: 2.10+
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- `torch`: 1.13+
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- `seqeval`: for evaluation metrics
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---
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## Labels Used
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```text
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EVENT_NAME
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DATE
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TIME
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VENUE
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O # Outside any entity
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```
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---
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## Contributors
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- [Thiyaga158](https://huggingface.co/Thiyaga158)
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- [Hansika08](https://huggingface.co/Hansika08)
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---
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