Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper_bouesti_asr – AI Model by Harcuracy | AlphaNeural AI
You can deploy this model and start earning money today!
Harcuracy
/
whisper_bouesti_asr
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
yo
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Harcuracy/whisper_bouesti_asr
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: 0.7570
Wer: 51.0383
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: 8
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4516
0.8711
250
0.7315
55.8806
0.2582
1.7422
500
0.7210
51.2232
0.1496
2.6132
750
0.7389
50.6852
0.0913
3.4843
1000
0.7570
51.0383
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
