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mdeberta-expl-extraction-multi

Token Classification
Transformers
Safetensors
deberta-v2
question-answering
Model card Files
xet
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@@ -48,7 +48,7 @@ which includes English, French, Italian and Spanish.
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  ## Performance
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- The model scores **74.64 F1 partial match** (as defined in [SQuAD extractive QA task](https://huggingface.co/datasets/rajpurkar/squad_v2) averaged across the 4 languages.
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  <!--<img src="https://raw.githubusercontent.com/hitz-zentroa/multilingual-abstrct/main/resources/multilingual-abstrct-results.png" style="width: 75%;"> -->
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  ## Performance
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+ The model scores **74.64 F1 partial match** (as defined in [SQuAD extractive QA task](https://huggingface.co/datasets/rajpurkar/squad_v2)) averaged across the 4 languages.
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  <!--<img src="https://raw.githubusercontent.com/hitz-zentroa/multilingual-abstrct/main/resources/multilingual-abstrct-results.png" style="width: 75%;"> -->
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