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fakeJobs
sebastiansarasti/fakeJobs
fakeJobs is a text classification model from sebastiansarasti. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
1. Data trained comes from this Kaggle repository: https://www.kaggle.com/datasets/shivamb/real-or-fake-fake-jobposting-prediction 2. Original data size is around 18k samples. To avoid the class imbalacing problem, it…
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Updated Dec 24, 2024
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At a glance
- Task
- Text Classification
- License
- apache-2.0
- Access
- Public
- Created
- Dec 23, 2024
- Updated
- Dec 24, 2024
- SHA
- 110431bd
Try a prompt
Base models
Model card
From the Hugging Face model README
Fake Job Predictor
Data
- Data trained comes from this Kaggle repository: https://www.kaggle.com/datasets/shivamb/real-or-fake-fake-jobposting-prediction
- Original data size is around 18k samples. To avoid the class imbalacing problem, it was undersampled the majority class (true jobs).
- Final dataset used to train has a size of 4k sample.
Model
- Multi-head neural network. One head is used for each feature (description, requirements, and benefits of the job).
- Best metrics achieved (over validation data-split): Precision: 0.83, Recall: 0.65, F1-score: 0.71
- Code used for training comes from this GitHub repo: https://github.com/sebassaras02/AdvancedDLCourse/blob/master/02_transformers_nlp/bert.ipynb
Components:
Text Encoder: distilbert-base-uncased is used to encode the textual input into a dense vector.
Future work:
Train over larger datasets and with more computer resources
- Task
- Text Classification
- License
- apache-2.0
- Languages
- en
- Created
- Dec 23, 2024
- Updated
- Dec 24, 2024