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PaceKW/bert-base-multilingual-uncased-fine-tuned-hs-new
bert-base-multilingual-uncased-fine-tuned-hs-new is a text classification model from PaceKW. 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-uncased 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 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.6939 | 1.0 | 2002 | 0.6937 | 0.5629 | 0.4993 | 0.0 |
| 0.6939 | 2.0 | 4004 | 0.6934 | 0.5955 | 0.4985 | 0.0 |
| 0.6938 | 3.0 | 6006 | 0.6936 | 0.5643 | 0.4973 | 0.0005 |
| 0.6936 | 4.0 | 8008 | 0.6933 | 0.5842 | 0.5002 | 0.0010 |