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VasilisAsim/speechbrain-finetuned-ravdess

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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Model Card

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speechbrain-finetuned-ravdess

This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1980
  • Accuracy: 0.5938

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: 3e-05
  • trainbatchsize: 4
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 16
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 0.1
  • num_epochs: 5
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
8.19841.0721.88010.3021
7.47002.01441.58870.4306
6.21263.02161.37110.5069
5.81084.02881.24980.5521
5.14235.03601.19800.5938

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2