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whisper-large-fa – AI Model by sgmmbarghi | AlphaNeural AI

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sgmmbarghi/
whisper-large-fa

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0

automatic-speech-recognition

generated_from_trainer

common_voice_17_0

endpoints_compatible

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whisper-large-fa

This model was trained from scratch 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 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: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.46.0
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.20.3