CoolFace
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TrVuKhah/results

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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MariaK/distilhubert-finetuned-gtzan-v2-finetuned-gtzan

This model is a fine-tuned version of MariaK/distilhubert-finetuned-gtzan-v2 on the GTZAN dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3159

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.00421.01000.2518
0.00212.02000.2875
0.00133.03000.2987
0.00094.04000.3040
0.00075.05000.3037
0.00076.06000.3100
0.00057.07000.3114
0.00058.08000.3095
0.00059.09000.3147
0.000510.010000.3159

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0