metadata
library_name: transformers
license: apache-2.0
base_model: tarteel-ai/whisper-base-ar-quran
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-base-ar-quran-ft-hijaiyah-2
results: []
datasets:
- Reinjin/Pelafalan_Huruf_Hijaiyah
whisper-base-ar-quran-ft-hijaiyah-2
This model is a fine-tuned version of tarteel-ai/whisper-base-ar-quran on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4117
- Accuracy: 0.9540
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-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Use 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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5618 | 1.0 | 1336 | 0.5533 | 0.8956 |
| 0.5432 | 2.0 | 2672 | 0.4359 | 0.9203 |
| 0.0009 | 3.0 | 4008 | 0.4872 | 0.9181 |
| 0.0005 | 4.0 | 5344 | 0.3842 | 0.9360 |
| 0.0002 | 5.0 | 6680 | 0.4643 | 0.9315 |
| 0.0425 | 6.0 | 8016 | 0.3426 | 0.9551 |
| 0.0001 | 7.0 | 9352 | 0.3894 | 0.9450 |
| 0.0001 | 8.0 | 10688 | 0.4227 | 0.9461 |
| 0.0001 | 9.0 | 12024 | 0.4511 | 0.9506 |
| 0.0 | 10.0 | 13360 | 0.4117 | 0.9540 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3