w2v2-libri-10min

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: 2.0535
  • Wer: 0.5781

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.9227 62.5 250 2.9488 1.0
1.0088 125.0 500 1.5970 0.6570
0.0694 187.5 750 1.6500 0.6680
0.0585 250.0 1000 1.8617 0.6501
0.0226 312.5 1250 2.3323 0.6362
0.0175 375.0 1500 2.0121 0.6113
0.0093 437.5 1750 2.0362 0.5781
0.006 500.0 2000 2.1563 0.5989
0.0042 562.5 2250 2.1231 0.5837
0.0027 625.0 2500 2.0535 0.5781

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 1.18.3
  • Tokenizers 0.13.3
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