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onnx-community/news_title_classification-indobert-base-p1-ONNX
news_title_classification-indobert-base-p1-ONNX is a text classification model from onnx-community. Use it when you need a label for a piece of text. It is set up for transformers.js.
This is an ONNX version of upi-0/newstitleclassification-indobert-base-p1. It was automatically converted and uploaded using this Hugging Face Space.
Downloads · 30 days
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From the Hugging Face model README
This is an ONNX version of upi-0/news_title_classification-indobert-base-p1. It was automatically converted and uploaded using this Hugging Face Space.
See the pipeline documentation for text-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextClassificationPipeline
A model created to distinguish whether an article's title is news or not. It's useful for sorting short- and long-term information in search engines. This model is a fine-tuned version of indobenchmark/indobert-base-p1
| Epoch | Training Loss | Validation Loss | Accuracy | AUC |
|---|---|---|---|---|
| 1 | 0.160100 | 0.143906 | 0.956000 | 0.995000 |
| 2 | 0.108200 | 0.132223 | 0.956000 | 0.996000 |
| 3 | 0.105900 | 0.077319 | 0.967000 | 0.997000 |
| 4 | 0.099600 | 0.114786 | 0.959000 | 0.998000 |
| 5 | 0.094200 | 0.074025 | 0.975000 | 0.998000 |