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@@ -37,21 +37,8 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.5505
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  - Wer: 31.4346
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- This model is part of my school project, it uses shuffled 100k rows of train dataset since the computation power is limited
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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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@@ -82,3 +69,17 @@ 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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  - Loss: 0.5505
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  - Wer: 31.4346
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+ This model is part of my school project, it uses shuffled 100k rows of train dataset since the computation power is limited.
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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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  ### 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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+ ## Model description
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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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