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