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Updated readme

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  results: []
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # opus-mt-en-hi
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- This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.5595
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  - Bleu: 11.9246
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  More information needed
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- ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
 
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- ## Training procedure
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  ### Training hyperparameters
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  results: []
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  ---
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  # opus-mt-en-hi
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.5595
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  - Bleu: 11.9246
 
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  More information needed
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  ## Training and evaluation data
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+ This model is trained on [Helsinki-NLP/opus-mt-en-hi](https://huggingface.co/Helsinki-NLP/opus-mt-en-hi) on [iitb-english-hindi](https://huggingface.co/datasets/cfilt/iitb-english-hindi).
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+ Here's a tokenized and pre-processed version of this dataset -> [iitb-english-hindi-tokenized](https://huggingface.co/datasets/fubuki119/iitb-english-hindi-tokenized)
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  ### Training hyperparameters
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