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: 22.098421541318476

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: 0.1079
Wer: 22.0984

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: 5e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 1500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0666	8.7788	500	0.1351	27.3909
0.0073	17.5487	1000	0.1090	23.3983
0.0029	26.3186	1500	0.1079	22.0984

Framework versions

Transformers 4.48.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0