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valurank/distilroberta-current
distilroberta-current is a text classification model from valurank. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
This model classifies articles as current (covering or discussing current events) or not current (not relating to current events).
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From the Hugging Face model README
This model classifies articles as current (covering or discussing current events) or not current (not relating to current events).
The model is a fine-tuned version of distilroberta-base on a dataset of articles labeled using weak-supervision and manual labeling
It achieves the following results on the evaluation set:
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| No log | 1.0 | 11 | 0.6559 | 0.7097 |
| 0.6762 | 2.0 | 22 | 0.5627 | 0.7097 |
| 0.5432 | 3.0 | 33 | 0.4606 | 0.7097 |
| 0.5432 | 4.0 | 44 | 0.3651 | 0.8065 |
| 0.411 | 5.0 | 55 | 0.2512 | 0.9194 |
| 0.269 | 6.0 | 66 | 0.2774 | 0.9355 |
| 0.269 | 7.0 | 77 | 0.2062 | 0.8710 |
| 0.2294 | 8.0 | 88 | 0.2598 | 0.9355 |
| 0.1761 | 9.0 | 99 | 0.1745 | 0.9355 |