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whisper-small-cantonese – AI Model by poppysmickarlili | AlphaNeural AI
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whisper-small-cantonese
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
yue
poppysmickarlili/common_voice_yue
poppysmickarlili/whisper-small-cantonese_07-05-2024-2200
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Cantanese
This model is a fine-tuned version of
poppysmickarlili/whisper-small-cantonese_07-05-2024-2200
on the poppysmickarlili/common_voice_yue dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Wer: 0.0171
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0039
2.7816
1000
0.0040
1.3699
0.0006
5.5633
2000
0.0001
0.0514
0.0001
8.3449
3000
0.0001
0.0171
0.0
11.1377
4000
0.0000
0.0171
Framework versions
Transformers 4.40.2
Pytorch 2.2.0
Datasets 2.19.1
Tokenizers 0.19.1
