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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 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3864
  • Wer: 0.3077

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
3.8894 3.67 400 0.7272 0.7232
0.4265 7.34 800 0.4567 0.5033
0.1963 11.01 1200 0.4435 0.4511
0.1288 14.68 1600 0.3897 0.3773
0.0976 18.35 2000 0.4021 0.3502
0.079 22.02 2400 0.4140 0.3473
0.0646 25.69 2800 0.3993 0.3255
0.0502 29.36 3200 0.3864 0.3077

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.10.3
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Dataset used to train Motahar/wav2vec2-large-xls-r-300m-turkish-colab