Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-pulaar – AI Model by ngia | AlphaNeural AI
You can deploy this model and start earning money today!
ngia
/
whisper-small-pulaar
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ngia/ASR_pulaar
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 Pulaar
This model is a fine-tuned version of
openai/whisper-small
on the ASR Pulaar Dataset dataset. It achieves the following results on the evaluation set:
Loss: 1.1167
Wer: 120.9982
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 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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.9523
1.0373
1000
1.2430
132.9187
0.649
2.0747
2000
1.1308
113.6540
0.5278
3.1120
3000
1.1119
113.9935
0.4196
4.1494
4000
1.1167
120.9982
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
