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VingeNie/whisper-tiny-genshin

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Whisper Tiny chinese - VingeNie

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2238
  • —Cer Ortho: 12.1911
  • —Cer: 9.6411

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: 0.0001
  • —trainbatchsize: 64
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 200
  • —training_steps: 2400
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer OrthoCer
0.37430.47624000.373924.988315.7515
0.30620.95248000.303417.225512.8821
0.20751.428612000.271514.971611.5961
0.18941.904816000.244513.933010.5500
0.12222.381020000.233012.50119.9106
0.11252.857124000.223812.19119.6411

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1