CoolFace
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pnparam/multi_stage_1

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

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multistage1

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0602
  • Wer: 1.4611

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: 0.0001
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 1000
  • num_epochs: 7
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
9.56291.365003.24341.0
2.59932.7210001.69342.4579
0.9784.0915000.45872.1900
0.22485.4520000.09831.4237
0.10186.8125000.06021.4611

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.13.1+cu116
  • Datasets 1.18.3
  • Tokenizers 0.13.2