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@@ -188,7 +188,9 @@ print(results)
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  ```
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  ### Benchmarking
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- Below is a table that highlights the performance of UTC models on the [CrossNER](https://huggingface.co/datasets/DFKI-SLT/cross_ner) dataset. The values represent the Micro F1 scores, with the estimation done at the word level.| Model | AI | Literature | Music | Politics | Science |
 
 
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  |----------------------|--------|------------|--------|----------|---------|
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  | UTC-DeBERTa-small | 0.8492 | 0.8792 | 0.864 | 0.9008 | 0.85 |
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  | UTC-DeBERTa-base | 0.8452 | 0.8587 | 0.8711 | 0.9147 | 0.8631 |
 
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  ```
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  ### Benchmarking
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+ Below is a table that highlights the performance of UTC models on the [CrossNER](https://huggingface.co/datasets/DFKI-SLT/cross_ner) dataset. The values represent the Micro F1 scores, with the estimation done at the word level.
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+
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+ | Model | AI | Literature | Music | Politics | Science |
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  |----------------------|--------|------------|--------|----------|---------|
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  | UTC-DeBERTa-small | 0.8492 | 0.8792 | 0.864 | 0.9008 | 0.85 |
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  | UTC-DeBERTa-base | 0.8452 | 0.8587 | 0.8711 | 0.9147 | 0.8631 |