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whisper-medium – AI Model by PrabalAryal | AlphaNeural AI
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whisper-medium
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PrabalAryal/mozilladataset
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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Whisper medium 1st attempt
This model is a fine-tuned version of
openai/whisper-medium
on the mozilladataset 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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.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: 100
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
