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This model is a fine-tuned version of cahya/wav2vec2-base-turkish-artificial on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - TR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2893
  • Wer: 0.2713

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: 128
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 512
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.8647 14.28 200 0.2758 0.2568
1.3376 28.56 400 0.2754 0.2722
1.1975 42.84 600 0.2929 0.2901
1.1024 57.14 800 0.2904 0.2928
1.0257 71.42 1000 0.2915 0.2823
0.9628 85.7 1200 0.2936 0.2749
0.9109 99.98 1400 0.2893 0.2713

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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Dataset used to train cahya/wav2vec2-base-turkish-cv7

Evaluation results

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