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@@ -20,7 +20,7 @@ model-index:
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  dataset:
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  name: Common Voice 8
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  type: mozilla-foundation/common_voice_8_0
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- args: hsb
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  metrics:
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  - name: Test WER
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  type: wer
@@ -54,19 +54,15 @@ It achieves the following results on the evaluation set:
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  - Loss: 1.3327
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  - Wer: 0.5744
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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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- 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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  dataset:
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  name: Common Voice 8
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  type: mozilla-foundation/common_voice_8_0
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+ args: as
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  metrics:
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  - name: Test WER
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  type: wer
 
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  - Loss: 1.3327
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  - Wer: 0.5744
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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-large-xls-r-300m-as-g1 --dataset mozilla-foundation/common_voice_8_0 --config as --split test --log_outputs
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+ 2. To evaluate on speech-recognition-community-v2/dev_data
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+ Assamese language isn't available in speech-recognition-community-v2/dev_data
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  ### Training hyperparameters
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