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            # BanglaBERT
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            This repository contains the pretrained discriminator checkpoint of the model **BanglaBERT**. This is an [ELECTRA](https://openreview.net/pdf?id=r1xMH1BtvB) discriminator model pretrained with the Replaced Token Detection (RTD) objective. Finetuned models using this checkpoint achieve state-of-the-art results on many of the NLP tasks in bengali. 
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            For finetuning on different downstream tasks such as `Sentiment classification`, `Named Entity Recognition`, `Natural Language Inference` etc., refer to the scripts in the official GitHub [repository](https://github.com/csebuetnlp/banglabert).
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            |[XLM-R (large)](https://huggingface.co/xlm-roberta-large) | 550M  | 70.97 | 82.40 | 78.39 | 73.15/79.06 | 76.79 |
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            |[sahajBERT](https://huggingface.co/neuropark/sahajBERT) | 18M | 71.12 | 76.92 | 70.94 | 65.48/70.69 | 71.03 |
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            |[BanglishBERT](https://huggingface.co/csebuetnlp/banglishbert) | 110M | 70.61 | 80.95 | 76.28 | 72.43/78.40 | 75.73 |
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            |[BanglaBERT](https://huggingface.co/csebuetnlp/banglabert) | 110M | 72.89 | 82.80 | 77.78 | 72.63/79.34 | **77.09** |
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            |[BanglaBERT ( | 
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            # BanglaBERT (small)
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            This repository contains the pretrained discriminator checkpoint of the model **BanglaBERT (small)**. This is an [ELECTRA](https://openreview.net/pdf?id=r1xMH1BtvB) discriminator model pretrained with the Replaced Token Detection (RTD) objective. Finetuned models using this checkpoint achieve state-of-the-art results on many of the NLP tasks in bengali. 
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            For finetuning on different downstream tasks such as `Sentiment classification`, `Named Entity Recognition`, `Natural Language Inference` etc., refer to the scripts in the official GitHub [repository](https://github.com/csebuetnlp/banglabert).
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            |[XLM-R (large)](https://huggingface.co/xlm-roberta-large) | 550M  | 70.97 | 82.40 | 78.39 | 73.15/79.06 | 76.79 |
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            |[sahajBERT](https://huggingface.co/neuropark/sahajBERT) | 18M | 71.12 | 76.92 | 70.94 | 65.48/70.69 | 71.03 |
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            |[BanglishBERT](https://huggingface.co/csebuetnlp/banglishbert) | 110M | 70.61 | 80.95 | 76.28 | 72.43/78.40 | 75.73 |
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            |[BanglaBERT (small)](https://huggingface.co/csebuetnlp/banglabert_small) | 13M | 69.29 | 76.75 | 73.41 | 63.30/69.65 | 70.38 |
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            |[BanglaBERT](https://huggingface.co/csebuetnlp/banglabert) | 110M | 72.89 | 82.80 | 77.78 | 72.63/79.34 | **77.09** |
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            |[BanglaBERT (large)](https://huggingface.co/csebuetnlp/banglabert_large) | 335M | 71.94 | 83.41 | 79.20 | 76.10/81.50 | **78.43** |
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