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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_BERT-1
xlm-roberta-base-Final_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. --
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 |
|---|---|---|---|---|---|
| 1.0732 | 1.0 | 87 | 1.0154 | 0.54 | 0.4487 |
| 0.9821 | 2.0 | 174 | 0.8279 | 0.63 | 0.6060 |
| 0.8118 | 3.0 | 261 | 0.7501 | 0.66 | 0.6519 |
| 0.7278 | 4.0 | 348 | 0.6890 | 0.73 | 0.7285 |
| 0.6158 | 5.0 | 435 | 0.7055 | 0.66 | 0.6604 |
| 0.5639 | 6.0 | 522 | 0.6927 | 0.69 | 0.6909 |
| 0.4855 | 7.0 | 609 | 0.6941 | 0.72 | 0.7251 |
| 0.4694 | 8.0 | 696 | 0.6983 | 0.73 | 0.7337 |