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LowGI/my_awesome_asr_mind_model

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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myawesomeasrmindmodel

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

  • —Loss: 61.8991
  • —Wer: 1.0

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: 0.1
  • —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: 1
  • —training_steps: 1

Training results

Training LossEpochStepValidation LossWer
47.40310.2161.89911.0

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.13.0+cpu
  • —Datasets 2.7.1
  • —Tokenizers 0.13.2