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: Whisper Nextayah Tiny
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Synth verses
          type: numan98/synth-incorrect-verses
          config: default
          split: None
          args: train
        metrics:
          - name: Wer
            type: wer
            value: 20.251905866755056

Whisper Nextayah Tiny

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

Loss: 0.0659
Wer: 20.2519

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

Training Loss	Epoch	Step	Validation Loss	Wer
0.1019	1.0753	100	0.0978	26.5827
0.0481	2.1505	200	0.0843	24.7265
0.0137	3.2258	300	0.0715	21.5777
0.0042	4.3011	400	0.0659	20.2519

Framework versions

Transformers 4.48.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0