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@@ -52,12 +52,18 @@ It achieves the following results on evaluation set (which is 10 percent of trai
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  - Loss: 0.184265
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  - Wer: 0.292771
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  ## Model description
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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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  The following hyperparameters were used during training:
 
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  - Loss: 0.184265
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  - Wer: 0.292771
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  ## Model description
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+ "facebook/wav2vec2-xls-r-300m" was finetuned.
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+
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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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+ Training data -
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+ Common voice hungarian train.tsv, dev.tsv, invalidated.tsv, reported.tsv, other.tsv and validated.tsv
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+ Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0
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+
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  ## Training procedure
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+ For creating the train dataset, all possible datasets were appended and 90-10 split was used.
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+
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  ### Training hyperparameters
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  The following hyperparameters were used during training: