CoolFace
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sanchit-gandhi/wav2vec2-2-bert-large-long-run

sourceHugging Faceupdated 5y agoView on Hugging Face
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Model Card

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This model was trained from scratch on the librispeech_asr dataset. It achieves the following results on the evaluation set:

  • —Loss: 12.7395
  • —Wer: 2.0272

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: 3e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 20.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
6.67811.6815006.63861.1672
6.68363.3630006.65871.9518
6.66225.0445006.58881.9276
5.8446.7360006.72201.9423
6.45888.4175007.75691.9964
6.409710.0990009.25152.0168
6.267611.77105009.81592.0179
6.494813.451200010.70912.0223
6.272815.131350011.77472.0255
6.31916.821500012.20842.0259
5.815718.51650012.73952.0272

Framework versions

  • —Transformers 4.17.0.dev0
  • —Pytorch 1.10.2+cu113
  • —Datasets 1.18.3
  • —Tokenizers 0.11.0