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wav2vec2-23

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: 3.1230
  • Wer: 1.0

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: 32
  • 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: 400
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
4.2642 1.37 200 2.9756 1.0
2.8574 2.74 400 3.1631 1.0
2.8588 4.11 600 3.1208 1.0
2.8613 5.48 800 3.1113 1.0
2.8599 6.85 1000 3.2679 1.0
2.8577 8.22 1200 3.0904 1.0
2.8575 9.59 1400 3.2444 1.0
2.8538 10.96 1600 3.0674 1.0
2.8564 12.33 1800 3.1957 1.0
2.8555 13.7 2000 3.0881 1.0
2.8542 15.07 2200 3.1488 1.0
2.8538 16.44 2400 3.1184 1.0
2.854 17.81 2600 3.1133 1.0
2.8553 19.18 2800 3.1508 1.0
2.8534 20.55 3000 3.0646 1.0
2.8538 21.92 3200 3.1374 1.0
2.8545 23.29 3400 3.1020 1.0
2.8539 24.66 3600 3.1631 1.0
2.8558 26.03 3800 3.1063 1.0
2.8508 27.4 4000 3.1271 1.0
2.8537 28.77 4200 3.1230 1.0

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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