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@@ -22,7 +22,11 @@ For a detailed description and experimental results, please refer the paper [ELE
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  ## Training details
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- The model was trained using the Electra base code for 3 days on 1 Tesla V100 16GB.
 
 
 
 
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  ## Model details ⚙
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@@ -36,9 +40,10 @@ The model was trained using the Electra base code for 3 days on 1 Tesla V100 16G
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  |Metric | # Score |
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  |-------|---------|
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- |Accuracy| 0.955|
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- |Precision| 0.790|
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- |AUC | 0.971|
 
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  ## Benchmarks 🔨
 
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  ## Training details
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+ The model was trained using the Electra base code for 3 days on 1 GPU (Tesla V100 16GB).
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+ ## Dataset details
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+ The largest Spanish biomedical and heath corpus to date gathered from a massive Spanish health domain crawler over more than 3,000 URLs were downloaded and preprocessed. The collected data have been preprocessed to produce the **CoWeSe** (Corpus Web Salud Español) resource, a large-scale and high-quality corpus intended for biomedical and health NLP in Spanish.
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  ## Model details ⚙
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  |Metric | # Score |
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  |-------|---------|
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+ |Accuracy| 0.9561|
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+ |Precision| 0.808|
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+ |Recall | 0.531 |
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+ |AUC | 0.949|
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  ## Benchmarks 🔨