Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-de – AI Model by mkenfenheuer | AlphaNeural AI
You can deploy this model and start earning money today!
mkenfenheuer
/
whisper-small-de
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
de
openai/whisper-small
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Small DE - Maximilian Kenfenheuer
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1231
Wer: 7.5440
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
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1911
0.25
1000
0.1567
9.4088
0.1959
0.5
2000
0.1382
8.5261
0.1843
0.75
3000
0.1285
7.8513
0.2134
1.0
4000
0.1231
7.5440
Framework versions
Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
