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Update README.md

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  ---
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  library_name: transformers
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  license: bsd-3-clause
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- base_model: MIT/ast-finetuned-audioset-12-12-0.447
 
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -39,7 +40,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # ast-mlcommons-speech-commands
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- This model is a fine-tuned version of [MIT/ast-finetuned-audioset-12-12-0.447](https://huggingface.co/MIT/ast-finetuned-audioset-12-12-0.447) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1346
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  - Precision: 0.9744
@@ -89,4 +90,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.51.3
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  - Pytorch 2.7.0+cu128
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  - Datasets 3.6.0
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- - Tokenizers 0.21.1
 
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  ---
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  library_name: transformers
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  license: bsd-3-clause
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+ base_model:
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+ - MIT/ast-finetuned-speech-commands-v2
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # ast-mlcommons-speech-commands
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+ This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1346
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  - Precision: 0.9744
 
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  - Transformers 4.51.3
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  - Pytorch 2.7.0+cu128
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  - Datasets 3.6.0
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+ - Tokenizers 0.21.1