Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-small-nepali – AI Model by Crynl | AlphaNeural AI
You can deploy this model and start earning money today!
Crynl
/
whisper-small-nepali
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ne
custom_data
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Small Nepali- Apurba Koirala
This model is a fine-tuned version of
openai/whisper-small
on the Nepali Audio Data dataset.
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
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: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.48.0
Pytorch 2.8.0+cu126
Datasets 4.4.2
Tokenizers 0.21.4
