antony66
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whisper-large-v3-russian

Automatic Speech Recognition

Inference Endpoints

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antony66 commited on May 23

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@@ -21,7 +21,7 @@ Dataset used for finetuning is Common Voice 17.0, Russian part, that contains ov
 After preprocessing of the original dataset (all splits were mixed and splited to a new train + test split by 0.95/0.05,
 that is 225761/11883 rows respectively) the original Whisper v3 has WER 9.84 while the finetuned version shows 6.39 (so far).
-Finetuning process took over 60 hours on dual Tesla A100 80Gb.
 ## Usage

 After preprocessing of the original dataset (all splits were mixed and splited to a new train + test split by 0.95/0.05,
 that is 225761/11883 rows respectively) the original Whisper v3 has WER 9.84 while the finetuned version shows 6.39 (so far).
+The finetuning process took over 60 hours on dual Tesla A100 80Gb.
 ## Usage