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Ghunghru/Misinformation-Covid-xlm-roberta-base
Misinformation-Covid-xlm-roberta-base is a text classification model from Ghunghru. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base 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 | F1 |
|---|---|---|---|---|
| 0.6737 | 1.0 | 189 | 0.6662 | 0.0 |
| 0.7083 | 2.0 | 378 | 0.6540 | 0.0 |
| 0.7185 | 3.0 | 567 | 0.8346 | 0.0 |
| 0.7826 | 4.0 | 756 | 0.8685 | 0.0 |
| 0.8333 | 5.0 | 945 | 0.7939 | 0.0 |
| 0.7989 | 6.0 | 1134 | 0.8978 | 0.0 |
| 0.8009 | 7.0 | 1323 | 0.7276 | 0.3265 |
| 0.6824 | 8.0 | 1512 | 0.7733 | 0.3774 |
| 0.6979 | 9.0 | 1701 | 0.7327 | 0.4407 |
| 0.6963 | 10.0 | 1890 | 0.7194 | 0.4333 |