---
library_name: transformers
base_model:
- openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-quran-5
  results: []
datasets:
- MoneerProject/warsh_quran_audio_train
- MoneerProject/diverse_quran_reciters_wav
- ahishamm/QURANICWhisperDataset
- Nash-pAnDiTa/quran_dataset_abdulbasit_clean
- Nash-pAnDiTa/quran_dataset_akhdar_clean
- Nash-pAnDiTa/quran_dataset_basfar_clean
language:
- ar
pipeline_tag: automatic-speech-recognition
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->



### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 250
- training_steps: 5000
- mixed_precision_training: Native AMP