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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_w2v
xlm-roberta-base-Final_VietNam-aug_insert_w2v 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 |
|---|---|---|---|---|---|
| 0.9987 | 1.0 | 85 | 0.7850 | 0.65 | 0.5820 |
| 0.6832 | 2.0 | 170 | 0.7052 | 0.72 | 0.7107 |
| 0.5117 | 3.0 | 255 | 0.7933 | 0.71 | 0.7031 |
| 0.3505 | 4.0 | 340 | 0.7300 | 0.74 | 0.7398 |
| 0.2406 | 5.0 | 425 | 0.8334 | 0.74 | 0.7422 |
| 0.1767 | 6.0 | 510 | 0.9736 | 0.75 | 0.7526 |
| 0.1371 | 7.0 | 595 | 1.0356 | 0.74 | 0.7460 |
| 0.1045 | 8.0 | 680 | 1.1094 | 0.75 | 0.7549 |