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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_w2v-1
xlm-roberta-base-Final_VietNam-aug_replace_w2v-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. --
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.038 | 1.0 | 84 | 0.8786 | 0.63 | 0.5228 |
| 0.771 | 2.0 | 168 | 0.7814 | 0.64 | 0.5924 |
| 0.6191 | 3.0 | 252 | 0.7443 | 0.68 | 0.6826 |
| 0.4635 | 4.0 | 336 | 0.7460 | 0.67 | 0.6738 |
| 0.3419 | 5.0 | 420 | 0.9737 | 0.67 | 0.6624 |
| 0.2808 | 6.0 | 504 | 0.9263 | 0.7 | 0.7065 |
| 0.2058 | 7.0 | 588 | 0.9756 | 0.7 | 0.7034 |
| 0.1681 | 8.0 | 672 | 0.9906 | 0.71 | 0.7119 |