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README.md
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---
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license:
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datasets:
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- xtreme
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language:
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- fr
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- es
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metrics:
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---
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# gunghio/xlm-roberta-base-finetuned-panx-ner
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It achieves the following results on the evaluation set:
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Precision: 0.8744154472771157
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Recall: 0.8791424269015351
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F1: 0.8767725659462058
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Accuracy: 0.9432040948504613
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---
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license:
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- mit
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datasets:
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- xtreme
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language:
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- fr
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- es
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metrics:
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- precision: 0.874
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- recall: 0.880
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- f1: 0.877
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- accuracy: 0.943
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---
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# gunghio/xlm-roberta-base-finetuned-panx-ner
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It achieves the following results on the evaluation set:
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- Precision: 0.8744154472771157
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- Recall: 0.8791424269015351
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- F1: 0.8767725659462058
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- Accuracy: 0.9432040948504613
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Details:
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| Label | Precision | Recall | F1-Score | Support |
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|---------|-----------|--------|----------|---------|
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| PER | 0.922 | 0.908 | 0.915 | 26639 |
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| LOC | 0.880 | 0.906 | 0.892 | 37623 |
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| ORG | 0.821 | 0.816 | 0.818 | 28045 |
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| Overall | 0.922 | 0.908 | .915 | 26639 |
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