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
metrics:
  - wer
model-index:
  - name: Nextayah Tiny Whisper Finetuned
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Synthetic Incorrect Verses
          type: numan98/synth-incorrect-verses
          config: default
          split: None
          args: 'split: test'
        metrics:
          - name: Wer
            type: wer
            value: 17.25043782837128

Nextayah Tiny Whisper Finetuned

This model is a fine-tuned version of tarteel-ai/whisper-tiny-ar-quran on the Synthetic Incorrect Verses dataset. It achieves the following results on the evaluation set:

Loss: 0.0921
Wer: 17.2504

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
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: 500
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0217	8.7719	500	0.1236	22.5044
0.0025	17.5439	1000	0.1063	21.0158
0.0001	26.3158	1500	0.0910	17.4256
0.0001	35.0877	2000	0.0921	17.2504

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0