|
--- |
|
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 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# whisper-base-ar-quran-ft-hijaiyah-2 |
|
|
|
This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/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 |
