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whisper-medium-ft-15epochs-gameshow – AI Model by thevan2404 | AlphaNeural AI
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thevan2404
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whisper-medium-ft-15epochs-gameshow
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-ft-15epochs-gameshow
This model is a fine-tuned version of
openai/whisper-medium.en
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-05
train_batch_size: 6
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 12
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
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.53.3
Pytorch 2.7.1+cu118
Datasets 3.6.0
Tokenizers 0.21.2
