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whisper-small-jyutping-without-tones-full – AI Model by AlienKevin | AlphaNeural AI
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whisper-small-jyutping-without-tones-full
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
yue
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Jyutping without Tones Full Version
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0473
Wer: 4.5089
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
training_steps: 2400
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0895
0.18
800
0.0864
8.1065
0.0622
0.35
1600
0.0576
5.4563
0.0555
0.53
2400
0.0473
4.5089
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3
