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RoBERTweetTurkCovid

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roberta
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  # RoBERTweetTurkCovid (uncased)
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  Pretrained model on Turkish language using a masked language modeling (MLM) objective. The model is uncased.
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- The pretrained corpus is a Turkish tweets collection related to COVID-19. The details of the data can be found at this paper:
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- https://arxiv.org/...
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  Model architecture is similar to RoBERTa-base (12 layers, 12 heads, and 768 hidden size). Tokenization algorithm is WordPiece. Vocabulary size is 30k.
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  # RoBERTweetTurkCovid (uncased)
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  Pretrained model on Turkish language using a masked language modeling (MLM) objective. The model is uncased.
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+ The pretrained corpus is a Turkish tweets collection related to COVID-19.
 
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  Model architecture is similar to RoBERTa-base (12 layers, 12 heads, and 768 hidden size). Tokenization algorithm is WordPiece. Vocabulary size is 30k.
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