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@@ -14,14 +14,14 @@ Pretrained NER tagging model for ancient Greek
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  # Scores & Tagset
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  <details>
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- Training:
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  | | Precision | Recall | F1-score | Support|
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  |------|:---------:|:--------:|:--------:|:--------:|
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- |PER | 0.9124 | 0.9445 | 0.9282 | 2127|
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- |MISC | 0.8092 | 0.8317 | 0.8203 | 933|
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- |LOC | 0.8686 | 0.7835 | 0.8238 | 388|
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- Evaluation
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  | | Precision | Recall | F1-score |Support|
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  |------|:---------:|:--------:|:--------:|:--------:|
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  | PER | 92.00% | 86.79% | 89.32% | 124|
 
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  # Scores & Tagset
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  <details>
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+ ### Training:
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  | | Precision | Recall | F1-score | Support|
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  |------|:---------:|:--------:|:--------:|:--------:|
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+ |PER | 91.24% | 94.45% | 92.82% | 2127|
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+ |MISC | 80.92% | 83.17% | 82.03% | 933|
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+ |LOC | 86.86% | 78.35% | 82.38% | 388|
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+ ### Evaluation
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  | | Precision | Recall | F1-score |Support|
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  |------|:---------:|:--------:|:--------:|:--------:|
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  | PER | 92.00% | 86.79% | 89.32% | 124|