6x16/whisper-small-nan-tw-quicktrain

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A Quick-trained Whisper-Small model for Nan-TW (閩南話/台語) #JL

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 (nan-tw) dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7699
• —Cer: 138.9186

Transcription Example

(Example Source: https://sutian.moe.edu.tw/zh-hant/su/27169/) <br> Original sentence: 萬事起頭難。 <br> Inference by _Whisper-Small_: บันซู ขี้เท่าหลัน<br> Inference by this model: 萬事起頭難

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: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 4000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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