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wav2vec2-base-librispeech

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

  • Loss: 0.9548
  • Wer: 0.4070

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: 4
  • 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: 150
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.4865 29.41 500 3.5010 1.0
1.112 58.82 1000 1.0382 0.4767
0.111 88.24 1500 0.9833 0.5116
0.0438 117.65 2000 0.9302 0.4302
0.0241 147.06 2500 0.9548 0.4070

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Evaluation results