Text Classification
Transformers
Safetensors
Spanish
roberta
biology
medical
Inference Endpoints
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@@ -178,7 +178,7 @@ The evaluation was performed on 0.2 of the [DermatES](https://huggingface.co/dat
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  #### Summary
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- The model achieves poor accuracy and F1 score on dermatological text classification, demonstrating the need of using ontologies (see [oracle-dermat](https://huggingface.co/datasets/fundacionctic/oracle-dermat) ) for this specific medical domain.
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  ## Model Examination [optional]
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  #### Summary
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+ The model achieves poor accuracy and F1 score on dermatological text classification, demonstrating the need of using ontologies (see [oracle-dermat](https://huggingface.co/fundacionctic/oracle-dermat) ) for this specific medical domain.
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  ## Model Examination [optional]
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