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Update README.md

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@@ -26,12 +26,6 @@ model-index:
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  - name: Test CER using LM
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  type: cer
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  value: 2.4147
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- - name: Test WER without LM
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- type: wer
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- value: 20.1776
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- - name: Test CER without LM
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- type: cer
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- value: 4.7205
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -53,6 +47,14 @@ Training is conducted in Google Colab, the training notebook provided in the rep
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  Language Model Created from texts from processed sentence in train + validation split of dataset (common voice 8.0 for Interlingua)
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  Evaluation is conducted in Notebook, you can see within the repo "notebook_evaluation_wav2vec2_ia.ipynb"
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  - name: Test CER using LM
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  type: cer
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  value: 2.4147
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  Language Model Created from texts from processed sentence in train + validation split of dataset (common voice 8.0 for Interlingua)
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  Evaluation is conducted in Notebook, you can see within the repo "notebook_evaluation_wav2vec2_ia.ipynb"
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+ Test WER without LM
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+ wer = 20.1776 %
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+ cer = 4.7205 %
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+
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+ Test WER using
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+ wer = 8.6074 %
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+ cer = 2.4147 %
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+
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  ### Training hyperparameters
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  The following hyperparameters were used during training: