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  ## Model description
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- This model is an adaptation of DistilBert (Victor Sanh et al.) for Marathi language. This version of Marathi-DistilBert is trained from scratch on approximately 11.2 million sentences.
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  ```
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  DISCLAIMER
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  The training data has been extracted from a variety of sources, mainly including:
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  1. Oscar Corpus
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  2. Marathi Newspapers
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- 3. Marathi story books and articles
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  The data is cleaned by removing all languages other than Marathi, while preserving common punctuations
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  }
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  ```
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- <h3>Authors </he>
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  <h3>1. Darshan Deshpande: <a href="https://github.com/DarshanDeshpande">GitHub</a>, <a href="https://www.linkedin.com/in/darshan-deshpande/">LinkedIn</a><h3>
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  <h3>2. Harshavardhan Abichandani: <a href="https://github.com/Baras64">GitHub</a>, <a href="http://​www.linkedin.com/in/harsh-abhi">LinkedIn</a><h3>
 
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  ## Model description
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+ This model is an adaptation of DistilBert (Victor Sanh et al., 2019) for Marathi language. This version of Marathi-DistilBert is trained from scratch on approximately 11.2 million sentences.
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  ```
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  DISCLAIMER
 
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  The training data has been extracted from a variety of sources, mainly including:
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  1. Oscar Corpus
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  2. Marathi Newspapers
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+ 3. Marathi storybooks and articles
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  The data is cleaned by removing all languages other than Marathi, while preserving common punctuations
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  }
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  ```
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+ <h3>Authors </h3>
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  <h3>1. Darshan Deshpande: <a href="https://github.com/DarshanDeshpande">GitHub</a>, <a href="https://www.linkedin.com/in/darshan-deshpande/">LinkedIn</a><h3>
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  <h3>2. Harshavardhan Abichandani: <a href="https://github.com/Baras64">GitHub</a>, <a href="http://​www.linkedin.com/in/harsh-abhi">LinkedIn</a><h3>