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whisper-base-ko-puct-2k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-base-ko-puct-2k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
ko
fleurs
openai/whisper-base
finetune
apache-2.0
model-index
us
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Whisper base Korean Punctuation 2k - Chee Li
This model is a fine-tuned version of
openai/whisper-base
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.4727
Wer: 28.7943
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.039
6.2893
1000
0.4318
28.4043
0.0085
12.5786
2000
0.4727
28.7943
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
