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AbrarAbhinaya/BERTscenario1-news-classifier
BERTscenario1-news-classifier is a text classification model from AbrarAbhinaya. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.7649 | 1.0 | 20953 | 1.3539 | 0.6294 | 0.6785 | 0.6294 | 0.6391 |
| 1.1008 | 2.0 | 41906 | 1.2537 | 0.6711 | 0.7000 | 0.6711 | 0.6766 |
| 0.6663 | 3.0 | 62859 | 1.3981 | 0.6941 | 0.7097 | 0.6941 | 0.6986 |