Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-finetune – AI Model by rishuagainstall | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
rishuagainstall
/
whisper-finetune
like
0
peft
safetensors
adapter
lora
transformers
openai/whisper-small
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-finetune
This model is a fine-tuned version of
openai/whisper-small
on an unknown 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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.19.1
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
