Krithika-p/my_awesome_emotions_model

Audio Classification·Krithika-p· 930

transformers apache-2.0 Audio Classification 94.6M params dataset:audiofolderbase_model:facebook/wav2vec2-basebase_model:finetune:facebook/wav2vec2-baselicense:apache-2.0

This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set: - Loss: 1.3229 - Accuracy: 0.6086

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# pull & run locally
pip install mlforge-sdk && mlforge pull Krithika-p/my_awesome_emotions_model

Model details

Task

Audio Classification

Provider

Krithika-p

Framework

transformers

Parameters

94.6M

Size

33 GB

License

apache-2.0

Downloads

930

Updated

2023-12-13

About Krithika-p/my_awesome_emotions_model

This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set: - Loss: 1.3229 - Accuracy: 0.6086

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