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krmodel – AI Model by DianaJin | AlphaNeural AI
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DianaJin
/
krmodel
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
DianaJin/krmodel
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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jinkrsmodel
This model is a fine-tuned version of
openai/whisper-medium
on the DianaJin/krmodel dataset. It achieves the following results on the evaluation set:
Loss: 1.1290
Cer: 92.0690
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: 20
training_steps: 160
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
2.1899
13.33
40
1.0819
153.1034
0.0027
26.67
80
1.0554
24.8276
0.0006
40.0
120
1.1173
39.3103
0.0004
53.33
160
1.1290
92.0690
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
