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whisper-tiny_child-10k_time-stretch – AI Model by jiwon65 | AlphaNeural AI
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whisper-tiny_child-10k_time-stretch
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
haseong8012/child-10k
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny_child-10k_time-stretch
This model is a fine-tuned version of
openai/whisper-tiny
on the child-10k 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: 3.75e-05
train_batch_size: 32
eval_batch_size: 16
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: 5000
Framework versions
Transformers 4.34.0
Pytorch 2.1.0+cu121
Datasets 2.14.5
Tokenizers 0.14.1