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whisper-tiny-nextayah-v4

Automatic Speech Recognition
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metadata
library_name: transformers
language:
  - ar
license: apache-2.0
base_model: tarteel-ai/whisper-tiny-ar-quran
tags:
  - generated_from_trainer
datasets:
  - numan98/synth-incorrect-verses
model-index:
  - name: Whisper Nextayah Tiny
    results: []

Whisper Nextayah Tiny

This model is a fine-tuned version of tarteel-ai/whisper-tiny-ar-quran on the Synth verses 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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.48.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0