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whisper_large_ko – AI Model by yurim111 | AlphaNeural AI
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whisper_large_ko
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ko
mozilla-foundation/common_voice_13_0
openai/whisper-large
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Large Ko - yurim111
This model is a fine-tuned version of
openai/whisper-large
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5245
Wer: 30.6143
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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.013
26.3158
500
0.3880
30.5136
0.0051
52.6316
1000
0.5522
36.8580
0.0001
78.9474
1500
0.5229
36.1531
0.0
105.2632
2000
0.5227
31.4199
0.0
131.5789
2500
0.5241
30.7150
0.0
157.8947
3000
0.5245
30.6143
Framework versions
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
