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@@ -45,8 +45,7 @@ It achieves the following results on the evaluation set:
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  Can be used for Sinhala speech to text conversions. Make sure to input noise low audio to the model, to get the best outcome.
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  ## Training and evaluation data
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- Trained on the custom dataset
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- [seniruk/sinscribe-sinhala-stt](https://huggingface.co/datasets/seniruk/sinscribe-sinhala-stt)
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  Trained on above final dataset with 2 epochs on a device with below spec for 41:00:59 hours
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  - 16GB RAM
 
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  Can be used for Sinhala speech to text conversions. Make sure to input noise low audio to the model, to get the best outcome.
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  ## Training and evaluation data
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+ Trained on the custom dataset - [seniruk/sinscribe-sinhala-stt](https://huggingface.co/datasets/seniruk/sinscribe-sinhala-stt)
 
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  Trained on above final dataset with 2 epochs on a device with below spec for 41:00:59 hours
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  - 16GB RAM