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--- |
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model: |
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- KB/bert-base-swedish-cased |
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tags: |
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- token-classification |
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- sequence-tagger-model |
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- bert |
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language: sv |
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datasets: |
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- KBLab/sucx3_ner |
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widget: |
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- text: "Emil bor i Lönneberga" |
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--- |
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# KB-BERT for NER |
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## Mixed cased and uncased data |
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This model is based on [KB-BERT](https://huggingface.co/KB/bert-base-swedish-cased) and was fine-tuned on the [SUCX 3.0 - NER](https://huggingface.co/datasets/KBLab/sucx3_ner) corpus, using the _simple_ tags and partially lowercased data. |
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For this model we used a variation of the data that did **not** use BIO-encoding to differentiate between the beginnings (B), and insides (I) of named entity tags. |
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The model was trained on the training data only, with the best model chosen by its performance on the validation data. |
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You find more information about the model and the performance on our blog: https://kb-labb.github.io/posts/2022-02-07-sucx3_ner |
