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@@ -24,10 +24,10 @@ model-index:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: []
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  - name: Test CER
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  type: cer
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- value: []
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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
@@ -40,18 +40,15 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.1987
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  - Wer: 0.1920
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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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-
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- ## Training and evaluation data
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-
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- More information needed
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  ## Training procedure
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  ### Training hyperparameters
 
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 0.2378369069146646
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  - name: Test CER
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  type: cer
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+ value: 0.050364163712536256
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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: 0.1987
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  - Wer: 0.1920
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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-300m-mt-o1 --dataset mozilla-foundation/common_voice_8_0 --config mt --split test --log_outputs
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+ 2. To evaluate on speech-recognition-community-v2/dev_data
 
 
 
 
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+ Maltese language not found in speech-recognition-community-v2/dev_data!
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  ## Training procedure
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  ### Training hyperparameters