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@@ -50,7 +50,7 @@ classifier(sequence_to_classify, candidate_labels, hypothesis_template=hypothesi
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  ## Training
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- This model was pre-trained on a set of 100 languages and follwed further training on 198M multilingual tweets as described in the original paper (https://arxiv.org/abs/2104.12250). Further it was trained on the training set of XNLI dataset in {insert target language} which is a machine translated version of the MNLI dataset. It was trained on 3 epochs and the following specifications
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  - learning rate: 5e-5
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  - batch size: 32
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  - max sequence: length 128
 
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  ## Training
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+ This model was pre-trained on a set of 100 languages and follwed further training on 198M multilingual tweets as described in the original [paper](https://arxiv.org/abs/2104.12250). Further it was trained on the training set of XNLI dataset in french which is a machine translated version of the MNLI dataset. It was trained on 3 epochs and the following specifications
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  - learning rate: 5e-5
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  - batch size: 32
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  - max sequence: length 128