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whisper-small-cantonese_24-04-2024-2043 – AI Model by poppysmickarlili | AlphaNeural AI
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whisper-small-cantonese_24-04-2024-2043
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
yue
mozilla-foundation/common_voice_16_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Cantanese
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
Loss: 154.2482
Wer: 100.0
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: 0.02
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
42.039
0.0709
50
62.8301
100.0
149.3648
0.1417
100
154.2482
100.0
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
