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- Clarify that the model is not trained on the evaluation dataset
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Manuel Romero
2020-03-10 05:10:41 +01:00
committed by Julien Chaumond
parent 6a13448ad2
commit 2661d80687
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model_cards/mrm8488/bert-multi-cased-finetuned-xquadv1/README.md
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@@ -65,7 +65,7 @@ Citation:
</details> </details>
I used `Data augmentation techniques` and splited the dataset in order to have a train and test set. The test set was created in a way that contains the same number of samples for each language. Finally, I got: As **XQuAD** is just an evaluation dataset, I used `Data augmentation techniques` (scraping, neural machine translation, etc) to obtain more samples and splited the dataset in order to have a train and test set. The test set was created in a way that contains the same number of samples for each language. Finally, I got:
| Dataset | # samples | | Dataset | # samples |
| ----------- | --------- | | ----------- | --------- |