numan98
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whisper-tiny-nextayah-v4

Automatic Speech Recognition

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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

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Safetensors

Model size

37.8M params

Tensor type

F32

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Model tree for numan98/whisper-tiny-nextayah-v4

Base model

tarteel-ai/whisper-tiny-ar-quran

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this model

Dataset used to train numan98/whisper-tiny-nextayah-v4