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--- |
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datasets: |
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- Aniemore/resd |
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metrics: |
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- accuracy |
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library_name: transformers |
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pipeline_tag: audio-classification |
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--- |
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Finetuned Audio Spectrogram Transformer for sentiment analysis in russian. |
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[github repo with code and tg bot](https://github.com/glubze-and-tochka/spectrogram-soul) |
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init state: MIT/ast-finetuned-audioset-10-10-0.4593 |
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precision recall f1-score support |
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0 0.77 0.77 0.77 44 |
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1 0.54 0.59 0.56 37 |
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2 0.53 0.60 0.56 40 |
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3 0.69 0.64 0.67 45 |
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4 0.56 0.57 0.56 44 |
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5 0.49 0.55 0.52 38 |
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6 0.75 0.47 0.58 32 |
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accuracy 0.61 280 |
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macro avg 0.62 0.60 0.60 280 |
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weighted avg 0.62 0.61 0.61 280 |
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