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  ## Pretrained BERT model for Romanian
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  Pretrained model on Romanian language using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
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- It was introduced in this [paper](https://www.blank.org/). Three BERT models were released: RoBERT-small, RoBERT-base and RoBERT-large, all versions uncased.
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  | Model | Weights | L | H | A | MLM accuracy | NSP accuracy |
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  |--------------|:---------:|:------:|:------:|:------:|:------------:|:------------:|
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- | RoBERT-small | 19M | 12 | 256 | 8 | 0.5363 | 0.9687 |
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- | \textit{RoBERT-base} | 114M | 12 | 768 | 12 | 0.6511 | 0.9802 |
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  | RoBERT-large | 341M | 24 | 1024 | 24 | 0.6929 | 0.9843 |
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  ## Pretrained BERT model for Romanian
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  Pretrained model on Romanian language using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
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+ It was introduced in this [paper](https://www.blank.org/). Three BERT models were released: **RoBERT-small**, RoBERT-base and RoBERT-large, all versions uncased.
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  | Model | Weights | L | H | A | MLM accuracy | NSP accuracy |
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  |--------------|:---------:|:------:|:------:|:------:|:------------:|:------------:|
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+ | *RoBERT-small* | *19M* | *12* | *256* | *8* | *0.5363* | *0.9687* |
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+ | RoBERT-base | 114M | 12 | 768 | 12 | 0.6511 | 0.9802 |
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  | RoBERT-large | 341M | 24 | 1024 | 24 | 0.6929 | 0.9843 |
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