Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
finetuning_model – AI Model by JSWOOK | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
JSWOOK
/
finetuning_model
like
0
transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuning_model
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on the None 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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 750
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
