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yesj1234/xlsr_mid2_zh-ko

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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zh-xlsr3

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the ./SAMPLE_SPEECH.PY - NA dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.9402
  • —Cer: 0.4156

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: 0.0003
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 64
  • —totalevalbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 100

Training results

Training LossEpochStepValidation LossCer
2.98936.0820002.47040.5279
1.965612.1640001.94010.4185
1.455218.2460001.95690.4053
1.101524.3280002.10870.3982
0.876130.4100002.29720.4272
0.696236.47120002.43890.4153
0.556242.55140002.51370.4164

Framework versions

  • —Transformers 4.34.0
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1