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tmnam20/bert-base-multilingual-cased-qqp-10
bert-base-multilingual-cased-qqp-10 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 apache-2.0.
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 bert-base-multilingual-cased 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 |
|---|---|---|---|---|---|---|
| 0.3263 | 0.44 | 5000 | 0.3272 | 0.8557 | 0.8081 | 0.8319 |
| 0.3084 | 0.88 | 10000 | 0.2968 | 0.8680 | 0.8191 | 0.8436 |
| 0.2424 | 1.32 | 15000 | 0.2998 | 0.8768 | 0.8324 | 0.8546 |
| 0.2171 | 1.76 | 20000 | 0.2995 | 0.8847 | 0.8449 | 0.8648 |
| 0.1796 | 2.2 | 25000 | 0.3124 | 0.8857 | 0.8424 | 0.8640 |
| 0.1811 | 2.64 | 30000 | 0.2963 | 0.8883 | 0.8477 | 0.8680 |