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Wav2vec2 Xlsr Amharic Speech Emotion Recognition Arabic Model

wav2vec2-xlsr-amharic-speech-emotion-recognition-arabic-model This model is a fine-tuned version of elgeish/wav2vec2-large-xlsr-53-arabic on the None dataset. The following hyperparameters were used during training: - learningrate: 0.0001 - trainbatchsize: 4 - evalbatchsize: 4 - seed: 42 - gradientaccumulationsteps: 2 - totaltrainbatchsize: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lrschedulertype: linear - numepochs: 1.0 - mixedprecisiontraining: Native AMP - Transformers 4.28.0.dev0 - Pytorch 1.13.1+cu116 - Datasets 2.10.2.dev0 - Tokenizers 0.13.2

license:apache-2.0
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wav2vec2-xlsr-amharic-speech-emotion-recognition-greek-model

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