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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: 0.052850080572474256
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -40,19 +54,16 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.2855
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  - Wer: 0.2401
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- ## Model description
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-
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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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  - name: Test CER
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  type: cer
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  value: 0.052850080572474256
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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: 0.560722380639029
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+ - name: Test CER
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+ type: cer
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+ value: 0.2279626093074681
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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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  - Loss: 0.2855
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  - Wer: 0.2401
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+ ##Evaluation Commands
 
 
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+ 1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
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+ python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-sl-a2 --dataset mozilla-foundation/common_voice_8_0 --config sl --split test --log_outputs
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+ 2. To evaluate on speech-recognition-community-v2/dev_data
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+ Votic language not found in speech-recognition-community-v2/dev_data
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  ### Training hyperparameters
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