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spanish_news_classification_headlines

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
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@@ -158,18 +158,17 @@ A more in depth example on how to use the model can be found in this colab noteb
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  |Precision (Macro)|0.35|
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  |Recall (Macro)|0.16|
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- |n_examples|100|
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  |------|------|
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  |Accuracy Score|0.62|
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- |Precision (Macro)|0.6064014202172097|
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- |Recall (Macro)|0.46789055973266497|
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-
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  |n_examples|1000|
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  |------|------|
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- |Accuracy Score|0.6777777777777778|
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- |Precision(Micro)|0.6777777777777778|
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- |Recall (Macro)|0.6409636098344376|
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  ![alt text](https://media-exp1.licdn.com/dms/image/C4D0BAQHpfgjEyhtE1g/company-logo_200_200/0/1625210573748?e=1638403200&v=beta&t=toQNpiOlyim5Ja4f7Ejv8yKoCWifMsLWjkC7XnyXICI "Logo M47")
 
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  |Precision (Macro)|0.35|
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  |Recall (Macro)|0.16|
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+ |n_examples|500|
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  |------|------|
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  |Accuracy Score|0.62|
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+ |Precision (Macro)|0.60|
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+ |Recall (Macro)|0.47|
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  |n_examples|1000|
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  |------|------|
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+ |Accuracy Score|0.68|
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+ |Precision(Micro)|0.68|
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+ |Recall (Macro)|0.64|
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  ![alt text](https://media-exp1.licdn.com/dms/image/C4D0BAQHpfgjEyhtE1g/company-logo_200_200/0/1625210573748?e=1638403200&v=beta&t=toQNpiOlyim5Ja4f7Ejv8yKoCWifMsLWjkC7XnyXICI "Logo M47")