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whisper-medium-kor_eng_medium_ed_ev – AI Model by CianKim | AlphaNeural AI
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CianKim
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whisper-medium-kor_eng_medium_ed_ev
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-kor_eng_medium_ed_ev
This model is a fine-tuned version of
openai/whisper-medium.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Cer: 0.0
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: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
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
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0002
22.7273
1000
0.0002
50.0
0.0001
45.4545
2000
0.0001
0.0
0.0
68.1818
3000
0.0000
0.0
0.0
90.9091
4000
0.0000
0.0
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
