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This is a DistilBERT-based model fine-tuned for text classification on the AG News dataset, categorizing news articles into four categories.
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✨ Features
- This is a DistilBERT-based model fine-tuned for text classification on the AG News dataset.
- The model categorizes news articles into four categories: World, Sports, Business, and Science/Technology.
- DistilBERT is a smaller and faster variant of BERT, making it more efficient for real-time applications while maintaining strong performance.
📚 Documentation
Model Details
- Developed by: Ranudee Fernando
- Model type: DistilBERT-based text classifier
- Language(s) (NLP): English (EN)
- License: Apache 2.0
- Finetuned from model [optional]: Fine-tuned from
distilbert-base-uncased
| Property |
Details |
| Model Type |
DistilBERT-based text classifier |
| Language |
English (EN) |
| License |
Apache 2.0 |
| Finetuned from model |
Fine-tuned from distilbert-base-uncased |
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Uses
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Bias, Risks, and Limitations
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Training Details
Training Data
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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