This model is a fine-tuned version of mkenfenheuer/whisper-small-de on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.0607
Wer: 3.6092

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
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 1001
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0622	0.9990	1000	0.0607	3.6092

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

mkenfenheuer/whisper-small-de-v2

Whisper Small DE v2.0 - Maximilian Kenfenheuer

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mkenfenheuer/
whisper-small-de-v2