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scasutt/wav2vec2-large-xlsr-53_toy_train_data_fast_10pct

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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wav2vec2-large-xlsr-53toytraindatafast_10pct

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6983
  • —Wer: 0.5026

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
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossWer
3.36191.052503.43341.0
3.08182.15003.49141.0
2.32453.157501.64830.9486
1.02334.210000.88170.7400
0.75225.2512500.73740.6529
0.53436.315000.69720.6068
0.44527.3517500.67570.5740
0.42758.420000.67890.5551
0.36889.4522500.64680.5394
0.336310.525000.67980.5358
0.303611.5527500.64390.5265
0.317312.630000.68980.5196
0.298513.6532500.67910.5169
0.28814.735000.64420.5090
0.267315.7537500.69840.5119
0.257516.8140000.71460.5084
0.23917.8642500.68470.5040
0.226618.9145000.69000.5028
0.2219.9647500.69830.5026

Framework versions

  • —Transformers 4.17.0
  • —Pytorch 1.11.0+cu102
  • —Datasets 2.0.0
  • —Tokenizers 0.11.6