| | --- |
| | 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](https://huggingface.co/transformers/) |
| | - **Library Versions:** |
| | - `transformers`: 4.25+ |
| | - `datasets`: 2.10+ |
| | - `torch`: 1.13+ |
| | - `seqeval`: for evaluation metrics |
| |
|
| | --- |
| |
|
| | ## Labels Used |
| |
|
| | ```text |
| | EVENT_NAME |
| | DATE |
| | TIME |
| | VENUE |
| | O # Outside any entity |
| | ``` |
| | --- |
| |
|
| | ## Contributors |
| |
|
| | - [Thiyaga158](https://huggingface.co/Thiyaga158) |
| | - [Hansika08](https://huggingface.co/Hansika08) |
| |
|
| | --- |
| |
|
| | ## License |
| |
|
| | This model is licensed under [CC BY-NC 3.0](https://creativecommons.org/licenses/by-nc/3.0/). |
| | For research and educational use only. |
| |
|
| | --- |
