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whisper-small-Cantonese – AI Model by FunPang | AlphaNeural AI
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whisper-small-Cantonese
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-Cantonese
This model is a fine-tuned version of
openai/whisper-small
on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3897
Wer: 75.9836
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: 5e-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: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2134
0.1140
100
0.3897
75.9836
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
