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monideep2255/psst_batch_size_4_base_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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psstbatchsize4base_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: 3.6743

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: 4
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 8
  • 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
14.19521.681003.6352
3.90923.362003.7223
3.99815.043003.6864
3.72096.724003.6310
3.93958.45003.7229
3.712610.086003.6163
3.699911.767003.6776
3.720313.458003.7568
3.720215.139003.6998
3.702316.8110003.6943
3.68918.4911003.6501
3.700920.1712003.6973
3.688221.8513003.6938
3.690723.5314003.6795
3.686925.2115003.6727
3.68126.8916003.6749
3.696828.5717003.6743

Framework versions

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