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@@ -40,16 +40,15 @@ Results:
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  - F-score (macro) **0.7472**
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  - Accuracy **0.8033**
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- precision recall f1-score support
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-
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- PERS 0.9305 0.9422 0.9363 1678
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- LOC 0.8150 0.8678 0.8406 401
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- ORG 0.6653 0.6092 0.6360 261
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- MISC 0.6202 0.5375 0.5759 240
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-
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- micro avg 0.8616 0.8593 0.8605 2580
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- macro avg 0.7577 0.7392 0.7472 2580
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- weighted avg 0.8569 0.8593 0.8575 2580
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  The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua).
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  Training code is also available [here](https://github.com/lang-uk/flair-ner).
 
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  - F-score (macro) **0.7472**
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  - Accuracy **0.8033**
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+ | by class | precision | recall | f1-score | support |
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+ |--------------|-----------|--------|----------|---------|
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+ | **PERS** | 0.9305 | 0.9422 | 0.9363 | 1678 |
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+ | **LOC** | 0.8150 | 0.8678 | 0.8406 | 401 |
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+ | **ORG** | 0.6653 | 0.6092 | 0.6360 | 261 |
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+ | **MISC** | 0.6202 | 0.5375 | 0.5759 | 240 |
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+ | micro avg | 0.8616 | 0.8593 | 0.8605 | 2580 |
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+ | macro avg | 0.7577 | 0.7392 | 0.7472 | 2580 |
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+ | weighted avg | 0.8569 | 0.8593 | 0.8575 | 2580 |
 
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  The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-uk), released by the [lang-uk](https://lang.org.ua).
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  Training code is also available [here](https://github.com/lang-uk/flair-ner).