A LoRA-trained Whisper-Large-v3-turbo specifically in Yue-Chinese (lang_code: zh)
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Yue Dataset with Hong Kong style dataset.
It achieves the following results on the evaluation set:
Loss: 0.4710
Cer: 28.9276
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: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
