Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper_medium_test – AI Model by jwh1449 | AlphaNeural AI
You can deploy this model and start earning money today!
jwh1449
/
whisper_medium_test
like
0
peft
tensorboard
safetensors
generated_from_trainer
openai/whisper-medium
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper_medium_test
This model is a fine-tuned version of
openai/whisper-medium
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: 1e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 500
training_steps: 7000
mixed_precision_training: Native AMP
Framework versions
PEFT 0.15.2
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
