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whisper_medium.en-Full-SPGIspeech-xs – AI Model by Jungwonchang | AlphaNeural AI
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whisper_medium.en-Full-SPGIspeech-xs
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
Jungwonchang/spgispeech_xs
openai/whisper-medium.en
finetune
apache-2.0
model-index
endpoints_compatible
us
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Deploy
openai/whisper-medium.en, all the parameters updated for 5 epochs
This model is a fine-tuned version of
openai/whisper-medium.en
on the 2 hour dataset of SPGIspeech(custom dataset) 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: 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: 50
training_steps: 120
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.0
