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whisper-large-v3-ft-train – AI Model by niu-neil | AlphaNeural AI
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whisper-large-v3-ft-train
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transformers
pytorch
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3-turbo
finetune
mit
endpoints_compatible
us
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whisper-large-v3-ft-train
This model is a fine-tuned version of
openai/whisper-large-v3-turbo
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.46.0
Pytorch 2.2.0+cu121
Datasets 3.0.2
Tokenizers 0.20.1
