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Shijia/xlmroberta_clir_eng_back
xlmroberta_clir_eng_back 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 | 0.0267 | 0.7148 |
| 0.0432 | 2.0 | 413 | 0.0217 | 0.7759 |
| 0.0432 | 3.0 | 619 | 0.0182 | 0.8263 |
| 0.0214 | 4.0 | 826 | 0.0154 | 0.8606 |
| 0.0214 | 5.0 | 1032 | 0.0147 | 0.8792 |
| 0.0138 | 6.0 | 1239 | 0.0134 | 0.8876 |
| 0.0138 | 7.0 | 1445 | 0.0152 | 0.8925 |
| 0.01 | 8.0 | 1652 | 0.0114 | 0.9026 |
| 0.01 | 9.0 | 1858 | 0.0117 | 0.9039 |
| 0.0083 | 9.98 | 2060 | 0.0125 | 0.9059 |