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Gummybear05/wav2vec2-1b-Yfreq_speed

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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wav2vec2-1b-Yfreq_speed

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

  • —Loss: 0.8611
  • —Cer: 22.6210

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: 2
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer
14.32780.25802003.601577.1323
2.12010.51604001.834143.0627
1.46370.77416001.605437.5587
1.20571.03218001.342534.6805
0.97111.290110001.420535.2091
0.90251.548112001.321834.0872
0.80811.806214001.195630.2514
0.7082.064216001.123528.9532
0.60062.322218001.278932.7655
0.55132.580220001.050927.1205
0.53262.838322001.118329.8990
0.47373.096324001.045326.8738
0.38293.354326000.989125.7460
0.34633.612328000.911823.8898
0.33133.870330000.915723.9074
0.28574.128432000.929724.4185
0.24324.386434000.856422.3273
0.23144.644436000.876022.5505
0.21254.902438000.861122.6210

Framework versions

  • —Transformers 4.45.2
  • —Pytorch 2.3.1.post100
  • —Datasets 2.19.1
  • —Tokenizers 0.20.1