Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-large-v3-3swissdatasets – AI Model by matildecs | AlphaNeural AI
You can deploy this model and start earning money today!
matildecs
/
whisper-large-v3-3swissdatasets
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-large-v3-3swissdatasets
This model is a fine-tuned version of
openai/whisper-large-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2431
Wer: 16.1023
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: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2894
0.0727
1000
0.3069
19.8280
0.27
0.1454
2000
0.2788
18.2352
0.2264
0.2181
3000
0.2624
17.1983
0.2819
0.2908
4000
0.2504
16.5451
0.2011
0.3635
5000
0.2431
16.1023
Framework versions
Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
