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@@ -40,19 +40,19 @@ It achieves the following results on the evaluation set:
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  - Loss: 2.8745
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  - Wer: 0.8333
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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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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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@@ -80,15 +80,6 @@ The following hyperparameters were used during training:
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  | 0.1136 | 166.67 | 500 | 2.5383 | 0.8889 |
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  | 0.0489 | 200.0 | 600 | 2.8745 | 0.8333 |
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- ### Evaluation Commands
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-
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- 1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
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-
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- python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-vot-final-a2 --dataset mozilla-foundation/common_voice_8_0 --config vot --split test --log_outputs
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-
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- 2. To evaluate on speech-recognition-community-v2/dev_data
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-
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- Votic language not found in speech-recognition-community-v2/dev_data
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  - Loss: 2.8745
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  - Wer: 0.8333
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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-vot-final-a2 --dataset mozilla-foundation/common_voice_8_0 --config vot --split test --log_outputs
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+ 2. To evaluate on speech-recognition-community-v2/dev_data
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+
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+ Votic language not found in speech-recognition-community-v2/dev_data
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+ ## Intended uses & limitations
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  ### Training hyperparameters
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  | 0.1136 | 166.67 | 500 | 2.5383 | 0.8889 |
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  | 0.0489 | 200.0 | 600 | 2.8745 | 0.8333 |
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