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Update README.md

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@@ -28,6 +28,20 @@ model-index:
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  - name: Test CER
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  type: cer
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  value: 0.05860608074430969
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  should probably proofread and complete it, then remove this comment. -->
@@ -39,19 +53,6 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.2754
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  - Wer: 0.2831
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- ## Model description
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-
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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
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  ### Training hyperparameters
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  - name: Test CER
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  type: cer
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  value: 0.05860608074430969
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Robust Speech Event - Dev Data
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+ type: speech-recognition-community-v2/dev_data
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+ args: vot
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: NA
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+ - name: Test CER
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+ type: cer
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+ value: NA
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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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  should probably proofread and complete it, then remove this comment. -->
 
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  - Loss: 0.2754
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  - Wer: 0.2831
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  ### Training hyperparameters
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