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@@ -7,20 +7,7 @@ This model has been trained using an encoder-decoder with attention mechanism to
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  After training on a single 24GB GPU for 24 hours, this model achieved a BLEU score of 0.9570595683021429 on the entire dataset of 195,775 sentences.
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  Paper link of Transformer model : ![Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf)
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-
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- # Requirements
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- ```
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- numpy==1.19.5
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- sentencepiece==0.1.97
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- tokenizers==0.8.1rc1
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- torch==1.11.0+cu113
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- torchsummary==1.5.1
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- torchtext==0.12.0
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- torchvision==0.12.0+cu113
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- transformers==3.0.2
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- nltk==3.7
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- ```
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-
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  # Dataset
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  We have collected ```195775``` number of sentence pair ```Bangla to English```. we seperated bangla and english sentence using ```\t```.
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  Data representation into txt file:
 
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  After training on a single 24GB GPU for 24 hours, this model achieved a BLEU score of 0.9570595683021429 on the entire dataset of 195,775 sentences.
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  Paper link of Transformer model : ![Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf)
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+ ![Github link ](https://github.com/saiful9379/Bangla_Translation)
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Dataset
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  We have collected ```195775``` number of sentence pair ```Bangla to English```. we seperated bangla and english sentence using ```\t```.
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  Data representation into txt file: