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german_pretrained

This model is a fine-tuned version of flozi00/wav2vec-xlsr-german on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.9812
  • 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: 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: 5
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Wer
12.5229 5.0 5 12.9520 1.0
4.3782 10.0 10 5.5689 1.0
2.56 15.0 15 4.8410 1.0
2.2895 20.0 20 4.0380 1.0
1.872 25.0 25 3.9558 1.0
1.6992 30.0 30 3.9812 1.0

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu102
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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