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tmnam20/xlm-roberta-base-qqp-100
xlm-roberta-base-qqp-100 is a text classification model from tmnam20. 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. --
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From the Hugging Face model README
This model is a fine-tuned version of xlm-roberta-base on the tmnam20/VieGLUE/QQP 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 | Combined Score |
|---|---|---|---|---|---|---|
| 0.3304 | 0.44 | 5000 | 0.3286 | 0.8591 | 0.8046 | 0.8318 |
| 0.2856 | 0.88 | 10000 | 0.2910 | 0.8744 | 0.8273 | 0.8509 |
| 0.2795 | 1.32 | 15000 | 0.2818 | 0.8808 | 0.8413 | 0.8610 |
| 0.2492 | 1.76 | 20000 | 0.2750 | 0.8863 | 0.8484 | 0.8674 |
| 0.2093 | 2.2 | 25000 | 0.2791 | 0.8919 | 0.8542 | 0.8730 |
| 0.2022 | 2.64 | 30000 | 0.2926 | 0.8928 | 0.8566 | 0.8747 |