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@@ -39,20 +39,12 @@ It achieves the following results on the evaluation set:
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  This fine-tuning model is part of my school project.
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  With limitation of my compute, I scale down the dataset from german common voice to shuffled 200k rows
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- ## Model description
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-
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- Model Parameter (pipe.model.num_parameters()): 37760640 (37M)
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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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@@ -87,3 +79,13 @@ The following hyperparameters were used during training:
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  - Pytorch 2.3.0
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
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  This fine-tuning model is part of my school project.
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  With limitation of my compute, I scale down the dataset from german common voice to shuffled 200k rows
 
 
 
 
 
 
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+ Additional information can be found in this github: [HanCreation/Whisper-Tiny-German](https://github.com/HanCreation/Whisper-Tiny-German)
 
 
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+ ## Model description
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+ Model Parameter (pipe.model.num_parameters()): 37760640 (37M)
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  ### Training hyperparameters
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  - Pytorch 2.3.0
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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+
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+ ## Intended uses & limitations
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure