wav2vec2-common_voice-tr-demo

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

  • Loss: 0.3856
  • Wer: 0.3556

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: 15.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.7391 0.92 100 3.5760 1.0
2.927 1.83 200 3.0796 0.9999
0.9009 2.75 300 0.9278 0.8226
0.6529 3.67 400 0.5926 0.6367
0.3623 4.59 500 0.5372 0.5692
0.2888 5.5 600 0.4407 0.4838
0.285 6.42 700 0.4341 0.4694
0.0842 7.34 800 0.4153 0.4302
0.1415 8.26 900 0.4317 0.4136
0.1552 9.17 1000 0.4145 0.4013
0.1184 10.09 1100 0.4115 0.3844
0.0556 11.01 1200 0.4182 0.3862
0.0851 11.93 1300 0.3985 0.3688
0.0961 12.84 1400 0.4030 0.3665
0.0596 13.76 1500 0.3880 0.3631
0.0917 14.68 1600 0.3878 0.3582

Framework versions

  • Transformers 4.11.0.dev0
  • Pytorch 1.9.0+cu111
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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