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@@ -67,19 +67,15 @@ 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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- 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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-
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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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  - 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-large-xls-r-300m-sl-with-LM-v2 --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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+ python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v2 --dataset speech-recognition-community-v2/dev_data --config sl --split validation --chunk_length_s 10 --stride_length_s 1
 
 
 
 
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  ### Training hyperparameters
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