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@@ -29,6 +29,8 @@ It achieves the following results on the evaluation set:
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  - Accuracy: 0.9747
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  - F1: 0.9746
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  ## Model description
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  More information needed
@@ -38,7 +40,7 @@ More information needed
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  More information needed
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  ## Training and evaluation data
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- ```
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  # datasets for each lang-id
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  common_voice_train_uz = load_dataset("mozilla-foundation/common_voice_16_1", "uz", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
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  common_voice_train_ru = load_dataset("mozilla-foundation/common_voice_16_1", "ru", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
 
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  - Accuracy: 0.9747
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  - F1: 0.9746
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+ Accuracy on the test dataset: 92.4%.
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+
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  ## Model description
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  More information needed
 
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  More information needed
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  ## Training and evaluation data
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+ ```python
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  # datasets for each lang-id
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  common_voice_train_uz = load_dataset("mozilla-foundation/common_voice_16_1", "uz", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)
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  common_voice_train_ru = load_dataset("mozilla-foundation/common_voice_16_1", "ru", split='train', trust_remote_code=True, token=env('HUGGING_TOKEN'), streaming=True)