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ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_replace_w2v
xlm-roberta-base-Balance_VietNam-aug_replace_w2v 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 |
|---|---|---|---|---|---|
| 1.046 | 1.0 | 85 | 0.8435 | 0.64 | 0.5962 |
| 0.7021 | 2.0 | 170 | 0.6686 | 0.76 | 0.76 |
| 0.535 | 3.0 | 255 | 0.7061 | 0.71 | 0.7151 |
| 0.3907 | 4.0 | 340 | 0.8103 | 0.73 | 0.7358 |
| 0.3088 | 5.0 | 425 | 0.8068 | 0.73 | 0.7343 |
| 0.2394 | 6.0 | 510 | 1.0083 | 0.73 | 0.7316 |
| 0.1655 | 7.0 | 595 | 1.0750 | 0.75 | 0.7548 |
| 0.1583 | 8.0 | 680 | 1.1567 | 0.71 | 0.7137 |