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library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper tiny AR - BH
results: []
---
<!-- 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 tiny AR - BH
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0148
- Wer: 0.0829
- Cer: 0.0324
## 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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 0.0107 | 1.0 | 157 | 0.0086 | 0.0889 | 0.0338 |
| 0.0069 | 2.0 | 314 | 0.0084 | 0.0896 | 0.0353 |
| 0.0042 | 3.0 | 471 | 0.0102 | 0.1070 | 0.0380 |
| 0.004 | 4.0 | 628 | 0.0111 | 0.1135 | 0.0406 |
| 0.0029 | 5.0 | 785 | 0.0118 | 0.1086 | 0.0401 |
| 0.0023 | 6.0 | 942 | 0.0128 | 0.1082 | 0.0388 |
| 0.0017 | 7.0 | 1099 | 0.0125 | 0.1033 | 0.0375 |
| 0.0013 | 8.0 | 1256 | 0.0133 | 0.1073 | 0.0383 |
| 0.0009 | 9.0 | 1413 | 0.0133 | 0.1084 | 0.0376 |
| 0.0007 | 10.0 | 1570 | 0.0134 | 0.1024 | 0.0375 |
| 0.0005 | 11.0 | 1727 | 0.0142 | 0.1024 | 0.0358 |
| 0.0004 | 12.0 | 1884 | 0.0132 | 0.0988 | 0.0331 |
| 0.0003 | 13.0 | 2041 | 0.0137 | 0.0952 | 0.0337 |
| 0.0001 | 14.0 | 2198 | 0.0144 | 0.0972 | 0.0350 |
| 0.0001 | 15.0 | 2355 | 0.0135 | 0.0927 | 0.0338 |
| 0.0 | 16.0 | 2512 | 0.0136 | 0.0934 | 0.0339 |
| 0.0 | 17.0 | 2669 | 0.0134 | 0.0871 | 0.0313 |
| 0.0 | 18.0 | 2826 | 0.0134 | 0.0833 | 0.0307 |
| 0.0 | 19.0 | 2983 | 0.0145 | 0.0841 | 0.0358 |
| 0.0 | 19.8768 | 3120 | 0.0139 | 0.0782 | 0.0296 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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