Aynursusuz/music_speech_classification

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musicspeechclassification

This model is a fine-tuned version of distil-whisper/distil-small.en on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0001
• —Accuracy: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.9.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.22.1