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Shijia/xlmroberta_clir_all_eng
xlmroberta_clir_all_eng is a text classification model from Shijia. 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 | Spearman Corr |
|---|---|---|---|---|
| No log | 1.0 | 206 | 0.0233 | 0.7585 |
| 0.043 | 2.0 | 413 | 0.0202 | 0.8211 |
| 0.043 | 3.0 | 619 | 0.0159 | 0.8471 |
| 0.0183 | 4.0 | 826 | 0.0134 | 0.8817 |
| 0.0183 | 5.0 | 1032 | 0.0111 | 0.8974 |
| 0.0114 | 6.0 | 1239 | 0.0118 | 0.9085 |
| 0.0114 | 7.0 | 1445 | 0.0096 | 0.9121 |
| 0.0081 | 8.0 | 1652 | 0.0105 | 0.9161 |
| 0.0081 | 9.0 | 1858 | 0.0097 | 0.9148 |
| 0.0067 | 9.98 | 2060 | 0.0102 | 0.9163 |