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whisper-tiny-kor-16k-hf-ep1 – AI Model by kaen2891 | AlphaNeural AI
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whisper-tiny-kor-16k-hf-ep1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-kor-16k-hf-ep1
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset.
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: 5e-05
train_batch_size: 128
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
No log
1.0
126
0.4488
254.5585
Framework versions
Transformers 4.36.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0
