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@@ -29,7 +29,7 @@ The 11 languages covered by IndicBERT are: Assamese, Bengali, Gujarati, Hindi, K
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  The link to our GitHub repository containing all our code can be found [here](https://github.com/AI4Bharat/indicner). The link to our paper can be found here.
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  ## Training Corpus
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- Our model was trained on a [dataset](https://huggingface.co/datasets/ai4bharat/IndicNER) which we mined from the existing [Samanantar Corpus](https://huggingface.co/datasets/ai4bharat/samanantar). We used a bert-base-multilingual-uncased model as the starting point and then fine-tuned it to the NER dataset mentioned previously.
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  ## Evaluation Results
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  Benchmarking on our testset.
 
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  The link to our GitHub repository containing all our code can be found [here](https://github.com/AI4Bharat/indicner). The link to our paper can be found here.
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  ## Training Corpus
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+ Our model was trained on a [dataset](https://huggingface.co/datasets/ai4bharat/naamapadam) which we mined from the existing [Samanantar Corpus](https://huggingface.co/datasets/ai4bharat/samanantar). We used a bert-base-multilingual-uncased model as the starting point and then fine-tuned it to the NER dataset mentioned previously.
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  ## Evaluation Results
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  Benchmarking on our testset.