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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:
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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-
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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
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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
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