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whisper-large-v3-enm-tr – AI Model by chasen48 | AlphaNeural AI

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chasen48/
whisper-large-v3-enm-tr

like

0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_17_0

openai/whisper-large-v3

endpoints_compatible

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Whisper Small TR - Enm

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 17.0 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: 16
eval_batch_size: 8
seed: 42
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: 500
training_steps: 5000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.48.0
Pytorch 2.8.0.dev20250319+cu128
Datasets 3.6.0
Tokenizers 0.21.4