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AkshitSaxena1/whisper-tiny_chinese_accent_v4

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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Model Card

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Whisper tiny Chinese

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

  • —Loss: 0.4727
  • —Wer: 17.6648

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: 3.75e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 100
  • —training_steps: 1500
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.04400.51281000.356714.8848
0.06451.02562000.422816.1716
0.02931.53853000.417415.4885
0.02722.05134000.453217.9984
0.01512.56415000.447817.0770
0.01393.07696000.472717.6648

Framework versions

  • —Transformers 5.5.0.dev0
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.8.4
  • —Tokenizers 0.22.2