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Nit: MCSCOCO -> MS COCO (#16481)

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Aditya Kane 2022-03-30 19:36:32 +05:30 committed by GitHub
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src/transformers/models/lxmert/modeling_lxmert.py
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@ -803,7 +803,7 @@ LXMERT_START_DOCSTRING = r"""
The LXMERT model was proposed in [LXMERT: Learning Cross-Modality Encoder Representations from
Transformers](https://arxiv.org/abs/1908.07490) by Hao Tan and Mohit Bansal. It's a vision and language transformer
model, pretrained on a variety of multi-modal datasets comprising of GQA, VQAv2.0, MCSCOCO captions, and Visual
model, pretrained on a variety of multi-modal datasets comprising of GQA, VQAv2.0, MSCOCO captions, and Visual
genome, using a combination of masked language modeling, region of interest feature regression, cross entropy loss
for question answering attribute prediction, and object tag prediction.