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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_tfidf-1
xlm-roberta-base-Final_VietNam-aug_insert_tfidf-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 |
|---|---|---|---|---|---|
| 0.9839 | 1.0 | 87 | 0.7510 | 0.63 | 0.5632 |
| 0.6788 | 2.0 | 174 | 0.7245 | 0.71 | 0.7109 |
| 0.5471 | 3.0 | 261 | 0.7273 | 0.66 | 0.6683 |
| 0.3945 | 4.0 | 348 | 0.7304 | 0.72 | 0.7261 |
| 0.3062 | 5.0 | 435 | 0.9655 | 0.73 | 0.7360 |
| 0.2197 | 6.0 | 522 | 0.9765 | 0.73 | 0.7357 |
| 0.1692 | 7.0 | 609 | 1.1266 | 0.73 | 0.7357 |
| 0.1331 | 8.0 | 696 | 1.1592 | 0.72 | 0.7269 |