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projecte-aina
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multiner_ceil

Token Classification
Transformers
PyTorch
Catalan
roberta
Inference Endpoints
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@@ -76,7 +76,7 @@ Accuracy was calculated using the development set, and reflects the non-balanced
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  | Type | Accuracy | num. Instances in dev set |
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  | ------ | ------ | ------ |
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- | CW | 0.842 | 4551 |
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  | GPE | 0.914 | 19751 |
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  | Other | 0.69 | 2824 |
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  | building | 0.736 | 2188 |
@@ -86,6 +86,7 @@ Accuracy was calculated using the development set, and reflects the non-balanced
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  | person | 0.903 | 21689 |
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  | product | 0.64 | 1038 |
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  ### Subtypes
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  | Type | Accuracy | num. Instances in dev set |
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  | ------ | ------ | ------ |
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+ | CW * | 0.842 | 4551 |
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  | GPE | 0.914 | 19751 |
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  | Other | 0.69 | 2824 |
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  | building | 0.736 | 2188 |
 
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  | person | 0.903 | 21689 |
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  | product | 0.64 | 1038 |
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+ *: Cultural Work
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  ### Subtypes
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