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ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_BERT
xlm-roberta-base-Final_VietNam-aug_replace_BERT 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 |
|---|---|---|---|---|---|
| 1.0522 | 1.0 | 87 | 0.9422 | 0.46 | 0.3717 |
| 0.8991 | 2.0 | 174 | 0.8059 | 0.6 | 0.5244 |
| 0.8082 | 3.0 | 261 | 0.7385 | 0.69 | 0.6744 |
| 0.6733 | 4.0 | 348 | 0.7667 | 0.73 | 0.7347 |
| 0.5768 | 5.0 | 435 | 0.6833 | 0.73 | 0.7351 |
| 0.5068 | 6.0 | 522 | 0.7653 | 0.71 | 0.7202 |
| 0.4404 | 7.0 | 609 | 0.8258 | 0.7 | 0.7119 |
| 0.3644 | 8.0 | 696 | 0.8161 | 0.73 | 0.7384 |