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dvinagre/
wav2vec2-lg-xlsr-en-speech-emotion-recognition-finetuned-gtzan

Name: wav2vec2-lg-xlsr-en-speech-emotion-recognition-finetuned-gtzan
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wav2vec2-lg-xlsr-en-speech-emotion-recognition-finetuned-gtzan

This model is a fine-tuned version of ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition on the GTZAN dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9771	1.0	225	1.7112	0.48
1.0169	2.0	450	1.1513	0.62
0.7104	3.0	675	0.8799	0.7
1.5425	4.0	900	0.7419	0.8
0.2908	5.0	1125	0.6713	0.8
0.8275	6.0	1350	0.6961	0.84
0.0298	7.0	1575	0.8689	0.82
0.0163	8.0	1800	0.7662	0.86
0.0162	9.0	2025	0.7143	0.88
0.2649	10.0	2250	0.7145	0.88