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--- |
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license: cc-by-4.0 |
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library_name: transformers |
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pipeline_tag: token-classification |
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metrics: |
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- f1 |
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- precision |
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- recall |
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--- |
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Label P R F1 support |
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---------------------------------------------- |
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ANG 0.76 0.86 0.81 91 |
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DUC 0.46 0.53 0.49 323 |
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EVE 0.55 0.67 0.61 663 |
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FAC 0.52 0.54 0.53 804 |
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GPE 0.88 0.86 0.87 4915 |
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INFORMAL 0.00 0.00 0.00 8 |
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LOC 0.58 0.69 0.63 762 |
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MISC 0.62 0.63 0.63 1548 |
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ORG 0.75 0.79 0.77 5672 |
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PER 0.94 0.96 0.95 7892 |
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TIMEX 0.79 0.84 0.81 2623 |
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TTL 0.68 0.72 0.70 2830 |
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WOA 0.82 0.86 0.84 1102 |
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--------------------------------------------- |
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Mean 0.80 0.83 0.81 Total: 29233 |
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For additional information and the dataset the model was trained on, see https://github.com/IAHLT/hebrew_named_entities_open_dataset. |
