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wav2vec2-augmented-vivos

This model is a fine-tuned version of facebook/wav2vec2-base on the vivos dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4403
  • Wer: 0.2447

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: 0.0002
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.3
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
6.6691 2.0 146 4.0324 1.0
3.4795 4.0 292 3.6294 1.0
3.4178 6.0 438 3.4910 1.0
1.8415 8.0 584 0.7926 0.5287
0.5336 10.0 730 0.5809 0.3677
0.3349 12.0 876 0.4679 0.2853
0.2424 14.0 1022 0.4440 0.2680
0.2193 16.0 1168 0.4420 0.2536
0.1627 18.0 1314 0.4373 0.2455
0.1532 20.0 1460 0.4403 0.2447

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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Dataset used to train Thienpkae/wav2vec2-augmented-vivos

Evaluation results