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wav2vec2-common_voice-nl-demo

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

  • Loss: 0.3523
  • Wer: 0.2046

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • 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
3.0536 1.12 500 0.5349 0.4338
0.2543 2.24 1000 0.3859 0.3029
0.1472 3.36 1500 0.3471 0.2818
0.1088 4.47 2000 0.3489 0.2731
0.0855 5.59 2500 0.3582 0.2558
0.0721 6.71 3000 0.3457 0.2471
0.0653 7.83 3500 0.3299 0.2357
0.0527 8.95 4000 0.3440 0.2334
0.0444 10.07 4500 0.3417 0.2289
0.0404 11.19 5000 0.3691 0.2204
0.0345 12.3 5500 0.3453 0.2102
0.0288 13.42 6000 0.3634 0.2089
0.027 14.54 6500 0.3532 0.2044

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 MatsUy/wav2vec2-common_voice-nl-demo