VingeNie/whisper-tiny-zh_CN_lr4_lowdata

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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: 0.7976
• —Cer Ortho: 35.9855
• —Cer: 29.9636

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: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 25
• —training_steps: 1500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.1
• —Pytorch 2.0.1+cu118
• —Datasets 2.19.0
• —Tokenizers 0.19.1