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whisper_finetune – AI Model by saboor345 | AlphaNeural AI
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saboor345
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whisper_finetune
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
eng
sabooor345/stt
distil-whisper/distil-small.en
finetune
mit
endpoints_compatible
us
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Distiled Whisper Finetune
This model is a fine-tuned version of
distil-whisper/distil-small.en
on the STT 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-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: 600
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
