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Whisper-Large-v3-turbo-STT-Zeroth-KO – AI Model by o0dimplz0o | AlphaNeural AI
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Whisper-Large-v3-turbo-STT-Zeroth-KO
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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Whisper-Large-v3-turbo-STT-Zeroth-KO
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0167
eval_wer: 19.0777
eval_cer: 0.0632
eval_runtime: 169.377
eval_samples_per_second: 3.023
eval_steps_per_second: 0.378
epoch: 1.6461
step: 2000
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: 2
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 2000
Framework versions
Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
