CCHsiang/whisper-base-zh-cloning
04
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Elder-fine-tune
This model is a fine-tuned version of openai/whisper-base on the collect elder voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.0185
- Wer: 100.3691
- Cer: 1205.1875
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
- trainbatchsize: 8
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 1000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.57.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.1