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dtorber/bert-base-multilingual-cased
bert-base-multilingual-cased is a text classification model from dtorber. 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 google-bert/bert-base-multilingual-cased 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 | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.6283 | 1.0 | 857 | 0.5262 | 0.7053 | 0.8379 | 0.5727 | 0.765 | 0.7454 | 0.9567 | 0.4813 |
| 0.5741 | 2.0 | 1714 | 0.5939 | 0.8028 | 0.8610 | 0.7447 | 0.82 | 0.8447 | 0.8780 | 0.6069 |
| 0.4751 | 3.0 | 2571 | 0.6656 | 0.8198 | 0.8801 | 0.7594 | 0.84 | 0.8393 | 0.9252 | 0.6482 |