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wav2vec2-large-xlsr-129-turkish-colab

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-129 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3149
  • Wer: 0.4748

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
6.4837 3.67 400 3.2526 1.0
3.0896 7.34 800 2.8037 1.0
1.5604 11.01 1200 0.5688 0.6613
0.6511 14.68 1600 0.3998 0.5580
0.4798 18.35 2000 0.3505 0.5118
0.4047 22.02 2400 0.3273 0.4858
0.3519 25.69 2800 0.3224 0.4796
0.343 29.36 3200 0.3149 0.4748

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu102
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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Dataset used to train patrickvonplaten/wav2vec2-large-xlsr-129-turkish-colab