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bert_dutch_base_abusive_language

Text Classification
Transformers
PyTorch
Safetensors
Dutch
bert
Inference Endpoints
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@@ -16,5 +16,4 @@ The model achieve the following results on multiple test data:
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  - HateCheck-NL (functional benchmark for hate speech): Accuracy: 60.19; Accuracy non-hateful tests: 57.38 ; Accuracy hateful tests: 59.58
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  - OP-NL (dynamyc benchmark for offensive language): macro F1: 57.57
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- More details on the training settings and pre-processind are available [here](https://github.com/tommasoc80/DALC)
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  - HateCheck-NL (functional benchmark for hate speech): Accuracy: 60.19; Accuracy non-hateful tests: 57.38 ; Accuracy hateful tests: 59.58
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  - OP-NL (dynamyc benchmark for offensive language): macro F1: 57.57
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+ More details on the training settings and pre-processind are available [here](https://github.com/tommasoc80/DALC)