kingabzpro
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wav2vec2-60-urdu

Automatic Speech Recognition

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robust-speech-event

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kingabzpro commited on Jan 21, 2022

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@@ -61,7 +61,7 @@ It achieves the following results on the evaluation set:
 - Cer: 0.3288
 ## Model description
-The training and valid dataset is 0.58 hours. It was hard to train any model on lower number of so I decided to take Urdu-60 checkpoint and finetune the wav2vwc2 model.
 ## Training procedure
 Trained on Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 due to lesser number of samples.

 - Cer: 0.3288
 ## Model description
+The training and valid dataset is 0.58 hours. It was hard to train any model on lower number of so I decided to take vakyansh-wav2vec2-urdu-urm-60 checkpoint and finetune the wav2vec2 model.
 ## Training procedure
 Trained on Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 due to lesser number of samples.