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reach-vb/wav2vec2-large-xls-r-1B-common_voice-sl-ft

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face
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wav2vec2-large-xls-r-1B-common_voice-sl-ft

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2112
  • —Wer: 0.1404

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: 32
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 400
  • —num_epochs: 100
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
1.829112.25000.56740.7611
0.041624.3910000.30930.2964
0.025636.5915000.22240.2072
0.017948.7820000.22740.1960
0.011360.9825000.20780.1582
0.008673.1730000.18980.1552
0.005985.3735000.20540.1446
0.004497.5640000.21120.1404

Framework versions

  • —Transformers 4.16.0.dev0
  • —Pytorch 1.10.1+cu102
  • —Datasets 1.17.1.dev0
  • —Tokenizers 0.10.3