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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_BERT-2
xlm-roberta-base-Final_VietNam-aug_insert_BERT-2 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 |
|---|---|---|---|---|---|
| 1.0509 | 1.0 | 87 | 0.8383 | 0.59 | 0.5441 |
| 0.7214 | 2.0 | 174 | 0.7218 | 0.72 | 0.72 |
| 0.5758 | 3.0 | 261 | 0.7535 | 0.69 | 0.6956 |
| 0.4321 | 4.0 | 348 | 0.7413 | 0.73 | 0.7360 |
| 0.3364 | 5.0 | 435 | 0.8328 | 0.72 | 0.7269 |
| 0.2712 | 6.0 | 522 | 0.9267 | 0.72 | 0.7255 |
| 0.1902 | 7.0 | 609 | 1.0811 | 0.7 | 0.7074 |
| 0.1351 | 8.0 | 696 | 1.1237 | 0.71 | 0.7165 |