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ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_BERT-1
xlm-roberta-base-New_VietNam-aug_insert_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 |
|---|---|---|---|---|---|
| 0.4542 | 1.0 | 87 | 0.9549 | 0.7 | 0.7092 |
| 0.2966 | 2.0 | 174 | 1.6132 | 0.65 | 0.6576 |
| 0.2405 | 3.0 | 261 | 1.8469 | 0.65 | 0.6593 |
| 0.1874 | 4.0 | 348 | 2.0364 | 0.68 | 0.6902 |
| 0.1297 | 5.0 | 435 | 2.0796 | 0.66 | 0.6689 |
| 0.0969 | 6.0 | 522 | 2.2566 | 0.65 | 0.6601 |
| 0.0967 | 7.0 | 609 | 2.3572 | 0.66 | 0.6696 |
| 0.0514 | 8.0 | 696 | 2.2910 | 0.66 | 0.6680 |