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Update README.md
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README.md
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@@ -37,7 +37,7 @@ k=X means that as a training data, we took only X examples for each class, train
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| RoBERTa-base | 24.5 | 44.7 | 58.1 | 65.4
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| RoBERTa-base + NER-BERT pre-training | 32.3 | 50.9 | 61.9 | 67.6 |
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| NuNER v1.0 | 39.4 | 59.6 | 67.8 | 71.5 |
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Read more about evaluation protocol & datasets in our [paper](https://arxiv.org/abs/2402.15343) and [blog post](https://www.numind.ai/blog/a-foundation-model-for-entity-recognition).
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|----------|----------|----------|----------|----------|
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| RoBERTa-base | 24.5 | 44.7 | 58.1 | 65.4
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| RoBERTa-base + NER-BERT pre-training | 32.3 | 50.9 | 61.9 | 67.6 |
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| NuNER v1.0 | **39.4** | **59.6** | **67.8** | **71.5** |
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Read more about evaluation protocol & datasets in our [paper](https://arxiv.org/abs/2402.15343) and [blog post](https://www.numind.ai/blog/a-foundation-model-for-entity-recognition).
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