[model_cards] Small formatting fix
cc @mrm8488
This commit is contained in:
@@ -50,7 +50,8 @@ for the other languages.
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Citation:
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Citation:
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<details>
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<details>
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```
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```bibtex
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@article{Artetxe:etal:2019,
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@article{Artetxe:etal:2019,
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author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
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author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
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title = {On the cross-lingual transferability of monolingual representations},
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title = {On the cross-lingual transferability of monolingual representations},
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@@ -61,6 +62,7 @@ Citation:
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eprint = {1910.11856}
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eprint = {1910.11856}
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}
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}
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```
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```
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</details>
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</details>
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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:
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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:
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@@ -50,6 +50,8 @@ for the other languages.
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Citation:
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Citation:
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<details>
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<details>
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```bibtex
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@article{Artetxe:etal:2019,
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@article{Artetxe:etal:2019,
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author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
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author = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
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title = {On the cross-lingual transferability of monolingual representations},
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title = {On the cross-lingual transferability of monolingual representations},
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@@ -59,6 +61,8 @@ Citation:
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archivePrefix = {arXiv},
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archivePrefix = {arXiv},
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eprint = {1910.11856}
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eprint = {1910.11856}
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}
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}
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```
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</details>
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</details>
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I used `Data augmentation techniques` 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:
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I used `Data augmentation techniques` 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:
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