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the-final-whisper – AI Model by AsemBadr | AlphaNeural AI

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AsemBadr/
the-final-whisper

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

openai/whisper-small

endpoints_compatible

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Whisper Small for Quran Recognition

This model is a fine-tuned version of openai/whisper-small on the Quran_Reciters dataset. It achieves the following results on the evaluation set:

epoch: 1.6474
eval_loss: 0.0829
eval_runtime: 2832.7593
eval_samples_per_second: 1.428
eval_steps_per_second: 0.179
eval_wer: 14.8450
step: 1000

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.1.2
Datasets 2.17.1
Tokenizers 0.15.1