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whisper-tiny-ko-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-ko-puct-4k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
fleurs
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Korean Punctuation 4k - Chee Li
This model is a fine-tuned version of
openai/whisper-tiny
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.6823
Wer: 39.8050
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
0.121
6.2893
1000
0.5465
66.6667
0.0162
12.5786
2000
0.6224
44.8582
0.0069
18.8679
3000
0.6681
41.0461
0.0049
25.1572
4000
0.6823
39.8050
Framework versions
Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3