wav2vec2-xls-r-1b-german-cv11
This model is a fine-tuned version of wav2vec2-xls-r-1b-german-cv11 on the MOZILLA-FOUNDATION/COMMON_VOICE_11_0 - DE dataset. It achieves the following results on the evaluation set:
- Loss: 0.1298
- Wer: 0.1919
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: 1e-07
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0653 | 1.0 | 7483 | 0.1298 | 0.1919 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
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