ethz-mtc/whisper-large-v2-de
16
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Whisper LargeV2 German
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/commonvoice110,facebook/voxpopuli,google/fleurs de,de,dede dataset. It achieves the following results on the evaluation set:
- Loss: 0.1307
- Wer: 6.3139
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-05
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 3000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2