wav2vec2-large-xlsr-turkish-demo-colab

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

  • Loss: 0.4055
  • Wer: 0.4800

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
  • 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
5.0179 4.21 400 1.4935 1.0249
0.7075 8.42 800 0.4546 0.6071
0.3072 12.63 1200 0.3947 0.5401
0.2145 16.84 1600 0.4049 0.5194
0.1647 21.05 2000 0.4199 0.5003
0.1338 25.26 2400 0.4144 0.4859
0.116 29.47 2800 0.4055 0.4800

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.1+cu102
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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