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wav2vec2-large-xlsr-53-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6901
  • Wer: 1.6299

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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
8.5034 3.42 400 3.5852 1.0
1.7853 6.83 800 0.7430 1.6774
0.5675 10.26 1200 0.6513 1.6330
0.3761 13.67 1600 0.6208 1.6081
0.2776 17.09 2000 0.6401 1.6081
0.2266 20.51 2400 0.6410 1.6295
0.1949 23.93 2800 0.6910 1.6287
0.1672 27.35 3200 0.6901 1.6299

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu111
  • Datasets 1.14.0
  • Tokenizers 0.10.3
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Dataset used to train project2you/wav2vec2-large-xlsr-53-demo-colab