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whisper-small-ko_Moon – AI Model by youngisk | AlphaNeural AI
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whisper-small-ko_Moon
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ko
mozilla-foundation/common_voice_12_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Ko
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 12.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5311
Cer: 13.0489
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: 2
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
Cer
0.0002
16.1290
1000
0.4759
12.5471
0.0001
32.2581
2000
0.5073
13.0489
0.0001
48.3871
3000
0.5246
13.0489
0.0
64.5161
4000
0.5311
13.0489
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1