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hippopotam/wav2vec2-common_voice-tr-demo

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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wav2vec2-common_voice-tr-demo

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

  • —Loss: 0.5335
  • —Wer: 0.4939

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: 0.0002
  • —trainbatchsize: 32
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 20.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
No log1.831004.10841.0
No log3.672003.15191.0
No log5.53001.93480.9799
No log7.344000.71850.7490
3.61659.175000.60410.6368
3.616511.016000.56100.5771
3.616512.847000.52920.5398
3.616514.688000.52420.5083
3.616516.519000.54430.5037
0.189418.3510000.53140.4944

Framework versions

  • —Transformers 4.29.2
  • —Pytorch 2.0.1
  • —Datasets 2.13.1
  • —Tokenizers 0.13.2