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metadata
language:
  - de
tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_10_0
  - generated_from_trainer
model-index:
  - name: wav2vec2-base-german
    results: []

wav2vec2-base-german

This model is a fine-tuned version of wav2vec2-base-german on the MOZILLA-FOUNDATION/COMMON_VOICE_10_0 - DE dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9302
  • Wer: 0.7428

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.8427 1.0 451 1.0878 0.8091
0.722 2.0 902 0.9732 0.7593
0.6589 3.0 1353 0.9302 0.7428

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.0
  • Datasets 2.4.0
  • Tokenizers 0.12.1