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mazesmazes/tiny-audio-next-thurs

sourceHugging Faceupdated 4mo agoView on Hugging Face
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Model Card

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tiny-audio-next-thurs

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3428

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: 0.001
  • trainbatchsize: 100
  • evalbatchsize: 100
  • seed: 43
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: cosinewithmin_lr
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.29130.045020000.4665
0.25600.090040000.4262
0.25000.135060000.4156
0.23870.180080000.4142
0.22580.2250100000.3964
0.22200.2700120000.3896
0.21830.3150140000.3913
0.21120.3600160000.3841
0.20860.4050180000.3763
0.20420.4501200000.3732
0.19440.4951220000.3659
0.18930.5401240000.3631
0.19420.5851260000.3589
0.18610.6301280000.3567
0.18940.6751300000.3515
0.18070.7201320000.3497
0.17940.7651340000.3456
0.17450.8101360000.3453
0.17040.8551380000.3459
0.17540.9001400000.3446
0.17350.9451420000.3440
0.17370.9901440000.3415
0.17551.0444390.3428

Framework versions

  • Transformers 5.7.0
  • Pytorch 2.8.0+cu128
  • Datasets 3.6.0
  • Tokenizers 0.22.2