correct the first paragraph

#2
by oooooorange - opened
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  1. README.md +1 -1
README.md CHANGED
@@ -7,7 +7,7 @@
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  # Varta-T5
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  ## Model Description
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- Varta-BERT is a model pre-trained on the `full` training set of Varta in 14 Indic languages (Assamese, Bhojpuri, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Oriya, Punjabi, Tamil, Telugu, and Urdu) and English, using a masked language modeling (MLM) objective.
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  Varta is a large-scale news corpus for Indic languages, including 41.8 million news articles in 14 different Indic languages (and English), which come from a variety of high-quality sources.
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  The dataset and the model are introduced in [this paper](https://arxiv.org/abs/2305.05858). The code is released in [this repository](https://github.com/rahular/varta). The data is released in [this bucket](https://console.cloud.google.com/storage/browser/varta-eu/data-release).
 
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  # Varta-T5
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  ## Model Description
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+ Varta-T5 is a model pre-trained on the `full` training set of Varta in 14 Indic languages (Assamese, Bhojpuri, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Oriya, Punjabi, Tamil, Telugu, and Urdu) and English, using span corruption and gap-sentence generation as objectives.
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  Varta is a large-scale news corpus for Indic languages, including 41.8 million news articles in 14 different Indic languages (and English), which come from a variety of high-quality sources.
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  The dataset and the model are introduced in [this paper](https://arxiv.org/abs/2305.05858). The code is released in [this repository](https://github.com/rahular/varta). The data is released in [this bucket](https://console.cloud.google.com/storage/browser/varta-eu/data-release).