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distilled_whisper-small_teacher_whisper-large-v3 – AI Model by tolgaaktas | AlphaNeural AI
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distilled_whisper-small_teacher_whisper-large-v3
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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distilled_whisper-small_teacher_whisper-large-v3
This model is a fine-tuned version of
openai/whisper-small
on an unknown 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: 1e-08
train_batch_size: 16
eval_batch_size: 16
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: 20
training_steps: 300
Framework versions
Transformers 4.48.3
Pytorch 2.2.1+cu121
Datasets 3.3.0
Tokenizers 0.21.0
