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amira-morsli/my_awesome_asr_mind_model_eval

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

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

  • —Loss: 10.5160
  • —Wer: 0.9908

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: 1e-05
  • —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: 2000
  • —training_steps: 5000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
10.2688100.050010.43081.0
6.3563200.010009.90891.0
4.1057300.015008.29641.0
3.2326400.020009.25191.0
2.873500.025009.36221.0
2.4916600.030009.26211.0
2.228700.035009.95921.0
2.0444800.0400010.19340.9908
1.9349900.0450010.32900.9908
1.88571000.0500010.51600.9908

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3