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whisper-small-Cantonese – AI Model by chandc | AlphaNeural AI
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whisper-small-Cantonese
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Cantonese - Daniel Chan
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2611
Wer: 55.8860
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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2222
1.14
1000
0.2847
63.1879
0.1146
2.28
2000
0.2592
58.2725
0.0382
3.42
3000
0.2575
55.9216
0.024
4.57
4000
0.2611
55.8860
Framework versions
Transformers 4.38.1
Pytorch 2.2.0
Datasets 2.17.0
Tokenizers 0.15.2
