JacobLinCool/whisper-large-v3-turbo-16e-only

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whisper-large-v3-turbo-16e-only

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the common_voice_16_1 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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 500
training_steps: 5000

Training results

Framework versions

Transformers 4.54.0
Pytorch 2.8.0.dev20250319+cu128
Datasets 3.6.0
Tokenizers 0.21.2