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README.md
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# emotions_6_classes_small
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.9106
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- Accuracy: 0.7920
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# emotions_6_classes_small
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the 'Audio emotions' public dataset, available form https://www.kaggle.com/datasets/uldisvalainis/audio-emotions.
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'Surprised' class was discarded due to lack of samples.
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It achieves the following results on the evaluation set:
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- Loss: 0.9106
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- Accuracy: 0.7920
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## Model description
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Classifies audios into 6 emotions:
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- Angry
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- Happy
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- Sad
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- Neutral
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- Fearful
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- Disgusted
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## Intended uses & limitations
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This model was trained for educational purposes.
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## Training and evaluation data
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- Training: 80%
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- Test: 20%
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## Training procedure
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