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loyoladatamining/task-classifier-mini-improved2
task-classifier-mini-improved2 is a text classification model from loyoladatamining. Use it when you need a label for a piece of text. The card lists the license as mit.
[!NOTE] A newer, improved model is available! We highly recommend using loyoladatamining/task-classifier-mini-v3 instead of this model.
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From the Hugging Face model README
[!NOTE]
A newer, improved model is available!
We highly recommend using loyoladatamining/task-classifier-mini-v3 instead of this model.
This is a legacy BERT-based model fine-tuned for the binary classification of task statements (identifying whether a text represents a task to be done on the job). It was built on top of prajjwal1/bert-tiny.
When evaluated on the loyoladatamining/usajobs_validation dataset, the newer version of the model demonstrates higher performance:
| Model | Accuracy | F-1 |
|---|---|---|
| task-classifier-mini-improved2 (This Model) | 0.8358 | 0.8253 |
| task-classifier-mini-v3 (Recommended) | 0.9583 | 0.9585 |
If you do make use of this version, please consider citing:
@article{meisenbacher2025extracting,
title={Extracting O* NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data},
author={Meisenbacher, Stephen and Nestorov, Svetlozar and Norlander, Peter},
year={2025}
}