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monideep2255/psst_batch_size_8_base_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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psstbatchsize8base_model

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.6856

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: 0.0003
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 100
  • num_epochs: 30

Training results

Training LossEpochStepValidation Loss
13.1133.331003.6542
3.92216.672003.6851
3.846810.03003.7162
3.709513.334003.6988
3.698716.675003.6870
3.724720.06003.6951
3.692223.337003.6682
3.686226.678003.6812
3.683830.09003.6856

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.2