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whisper-small-zh – AI Model by Jasper881108 | AlphaNeural AI
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whisper-small-zh
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transformers
pytorch
whisper
automatic-speech-recognition
whisper-small
asr
zh-TW
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Medium TW
This model is a fine-tuned version of
openai/whisper-medium
on the mozilla-foundation/common_voice_11_0 dataset.
Training and evaluation data
Training:
mozilla-foundation/common_voice_11_0
(train+validation)
Evaluation:
mozilla-foundation/common_voice_11_0
(test)
Training procedure
Datasets were augmented using
audiomentations
via PitchShift, TimeStretch, Gain, AddGaussianNoise transformations at
p=0.3
.
A space is added between each Chinese character, as demonstrated in the original paper. Effectively, WER == CER in this case.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
gradient_accumulation_steps: 1
optimizer: Adam
generation_max_length: 225
warmup_steps: 500
max_steps: 2400
fp16: True
evaluation_strategy: "steps"
Framework versions
Transformers 4.27.1
Pytorch 2.0.1+cu120
Datasets 2.13.1
