Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-medium-en-cv-3.1 – AI Model by xbilek25 | AlphaNeural AI
You can deploy this model and start earning money today!
xbilek25
/
whisper-medium-en-cv-3.1
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
mozilla-foundation/common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-medium-en-cv-3.1
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3184
Wer: 12.5129
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: 6.25e-06
train_batch_size: 64
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: 36
training_steps: 360
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3133
0.2
72
0.3342
13.0271
0.2349
0.4
144
0.3197
13.1299
0.232
0.6
216
0.3133
12.4786
0.1095
1.175
288
0.3135
12.5814
0.1091
1.375
360
0.3184
12.5129
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
