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en_legal_ner_sm

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@@ -20,7 +20,7 @@ model-index:
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  split: Test
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  metrics:
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  - type: F1-Score
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- value: 75.027
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  name: Test F1-Score
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  ---
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  ## This model is for efficiency purposes for better accuracy refer to [en_legal_ner_trf](https://huggingface.co/opennyaiorg/en_legal_ner_trf)
@@ -36,9 +36,9 @@ Indian Legal Named Entity Recognition(NER): Identifying relevant named entities
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  ### Scores
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  | Type | Score |
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  | --- | --- |
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- | **F1-Score** | **75.027** |
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- | `Precision` | 77.849 |
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- | `Recall` | 72.371 |
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  | Feature | Description |
 
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  split: Test
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  metrics:
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  - type: F1-Score
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+ value: 74.87
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  name: Test F1-Score
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  ---
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  ## This model is for efficiency purposes for better accuracy refer to [en_legal_ner_trf](https://huggingface.co/opennyaiorg/en_legal_ner_trf)
 
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  ### Scores
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  | Type | Score |
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  | --- | --- |
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+ | **F1-Score** | **74.87** |
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+ | `Precision` | 72.98 |
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+ | `Recall` | 76.85 |
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  | Feature | Description |