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wav2vec2-large-xls-r-300m-turkish-colab

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_6.1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4380
  • Wer: 0.3508

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
3.8764 3.67 400 0.7239 0.7221
0.4526 7.34 800 0.5009 0.5345
0.2169 11.01 1200 0.4728 0.4693
0.1438 14.68 1600 0.4648 0.4669
0.1095 18.35 2000 0.4642 0.4094
0.0893 22.02 2400 0.4749 0.3879
0.0701 25.69 2800 0.4410 0.3665
0.056 29.36 3200 0.4380 0.3508

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.10.3
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Dataset used to train husnu/wav2vec2-large-xls-r-300m-turkish-colab