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whisper-med-kor-en – AI Model by didiudom94 | AlphaNeural AI
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whisper-med-kor-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ko
didiudom94/gentlemen
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Ko to En
This model is a fine-tuned version of
openai/whisper-small
on the Gentlemen dataset. It achieves the following results on the evaluation set:
Loss: 1.4544
Bleu: 0.1211
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: 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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.6647
0.2253
1000
1.6390
0.0927
1.5514
0.4507
2000
1.5395
0.1087
1.5369
0.6760
3000
1.4836
0.1153
1.4714
0.9013
4000
1.4544
0.1211
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.20.3
