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whisper-medium-en – AI Model by chaseez | AlphaNeural AI
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whisper-medium-en
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
chaseez/accented-english
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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Whisper Medium En - SAA ASR 4000 Steps
This model is a fine-tuned version of
openai/whisper-medium
on the Speech Accent Archive 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: 14
eval_batch_size: 8
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: 4000
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
