6x16/whisper-large-v3-turbo-yue-continuous

A Continuous-trained Whisper-large-v3-turbo Yue model #JL

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 15.0 & 16.0 & 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2660
• Cer: 9.6002

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.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: 250
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.2893	0.2347	250	0.3542	14.3001
0.1931	0.4695	500	0.3283	13.7484
0.1426	0.7042	750	0.3136	13.2798
0.0875	0.9390	1000	0.3004	12.9006
0.0492	1.1737	1250	0.2745	10.9732
0.038	1.4085	1500	0.2749	10.4354
0.0216	1.6432	1750	0.2648	9.7879
0.0134	1.8779	2000	0.2660	9.6002

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.0+cu126
• Datasets 3.5.1
• Tokenizers 0.21.1