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whisper-tiny-jyutping-without-tones – AI Model by AlienKevin | AlphaNeural AI
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whisper-tiny-jyutping-without-tones
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
yue
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper Tiny Jyutping without Tones
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2079
Wer: 22.8645
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
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 150
training_steps: 800
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1622
0.62
800
0.2079
22.8645
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3