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tmnam20/bert-base-multilingual-cased-qqp-1
bert-base-multilingual-cased-qqp-1 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 |
|---|---|---|---|---|---|---|
| 0.3241 | 0.44 | 5000 | 0.3155 | 0.8585 | 0.8090 | 0.8337 |
| 0.3239 | 0.88 | 10000 | 0.2986 | 0.8655 | 0.8091 | 0.8373 |
| 0.2479 | 1.32 | 15000 | 0.2984 | 0.8762 | 0.8301 | 0.8532 |
| 0.2461 | 1.76 | 20000 | 0.2838 | 0.8818 | 0.8387 | 0.8603 |
| 0.1919 | 2.2 | 25000 | 0.2947 | 0.8887 | 0.8491 | 0.8689 |
| 0.1965 | 2.64 | 30000 | 0.2967 | 0.8896 | 0.8489 | 0.8692 |