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wav2vec2-base-en-asr-timit

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4525
  • Wer: 0.3510

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: 0.0001
  • train_batch_size: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.6253 3.17 200 3.0613 1.0
2.9038 6.35 400 2.7513 1.0
1.5048 9.52 600 0.6193 0.5702
0.4196 12.7 800 0.4788 0.4464
0.2203 15.87 1000 0.4743 0.4098
0.1439 19.05 1200 0.4420 0.3804
0.0963 22.22 1400 0.4587 0.3620
0.073 25.4 1600 0.4681 0.3588
0.0603 28.57 1800 0.4525 0.3510

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 1.18.3
  • Tokenizers 0.13.2
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