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NuNER-v1.0

Token Classification
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Safetensors
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roberta
feature-extraction
entity-recognition
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RoBERTa
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@@ -46,6 +46,7 @@ k=X means that as training data for this evaluation, we took only X examples for
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  | RoBERTa-base + NER-BERT pre-training | 32.3 | 50.9 | 61.9 | 67.6 |
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  | NuNER v0.1 | 34.3 | 54.6 | 64.0 | 68.7 |
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  | NuNER v1.0 | 39.4 | 59.6 | 67.8 | 71.5 |
 
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  NuNER v1.0 has similar performance to 7B LLMs (70 times bigger than NuNER v1.0) created specifically for the NER task.
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  | RoBERTa-base + NER-BERT pre-training | 32.3 | 50.9 | 61.9 | 67.6 |
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  | NuNER v0.1 | 34.3 | 54.6 | 64.0 | 68.7 |
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  | NuNER v1.0 | 39.4 | 59.6 | 67.8 | 71.5 |
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+ | **NuNER v2.0** | **43.6** | **61.0** | **68.2** | **72.0** |
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  NuNER v1.0 has similar performance to 7B LLMs (70 times bigger than NuNER v1.0) created specifically for the NER task.
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