Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-small-lora – AI Model by sgangireddy | AlphaNeural AI
You can deploy this model and start earning money today!
sgangireddy
/
whisper-small-lora
like
0
peft
tensorboard
safetensors
whisper
whisper-event
generated_from_trainer
audiofolder
openai/whisper-small
adapter
apache-2.0
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
openai/whisper-small
This model is a fine-tuned version of
openai/whisper-small
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 1.5217
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: 32
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
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0581
5.005
500
1.3403
0.0075
10.01
1000
1.5217
Framework versions
PEFT 0.15.0
Transformers 4.49.0
Pytorch 2.4.0+cu121
Datasets 3.3.2
Tokenizers 0.21.0
