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whisper-medium.en-kor_eng_medium_ed_lc – AI Model by CianKim | AlphaNeural AI
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CianKim
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whisper-medium.en-kor_eng_medium_ed_lc
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-medium.en-kor_eng_medium_ed_lc
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 9.0066
Cer: 92.8412
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: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
No log
1.0
8
10.8570
92.8412
No log
2.0
16
10.6620
92.8412
No log
3.0
24
10.2690
92.8412
No log
4.0
32
9.6753
92.8412
No log
5.0
40
9.0066
92.8412
Framework versions
Transformers 4.51.0
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
