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ThuyNT03/xlm-roberta-base-New_VietNam-aug_replace_BERT-1
xlm-roberta-base-New_VietNam-aug_replace_BERT-1 is a text classification model from ThuyNT03. 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. --
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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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6469 | 1.0 | 87 | 1.0507 | 0.71 | 0.7162 |
| 0.422 | 2.0 | 174 | 0.9811 | 0.73 | 0.7318 |
| 0.3235 | 3.0 | 261 | 0.9616 | 0.72 | 0.7224 |
| 0.2039 | 4.0 | 348 | 1.2767 | 0.68 | 0.6865 |
| 0.1606 | 5.0 | 435 | 1.5652 | 0.71 | 0.7122 |
| 0.1419 | 6.0 | 522 | 1.7107 | 0.71 | 0.7145 |
| 0.1158 | 7.0 | 609 | 1.7809 | 0.7 | 0.7047 |
| 0.1024 | 8.0 | 696 | 1.8418 | 0.7 | 0.7047 |