---
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: 0.0171
- Wer: 0.1132
- Cer: 0.0409

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0145        | 1.0   | 219  | 0.0160          | 0.1213 | 0.0455 |
| 0.0115        | 2.0   | 438  | 0.0123          | 0.1267 | 0.0469 |
| 0.0082        | 3.0   | 657  | 0.0112          | 0.1157 | 0.0399 |
| 0.0061        | 4.0   | 876  | 0.0111          | 0.1173 | 0.0406 |
| 0.0056        | 5.0   | 1095 | 0.0116          | 0.1137 | 0.0389 |
| 0.0062        | 6.0   | 1314 | 0.0122          | 0.1117 | 0.0367 |
| 0.0021        | 7.0   | 1533 | 0.0129          | 0.1166 | 0.0396 |
| 0.0028        | 8.0   | 1752 | 0.0136          | 0.1167 | 0.0385 |
| 0.0017        | 9.0   | 1971 | 0.0141          | 0.1140 | 0.0370 |
| 0.0017        | 10.0  | 2190 | 0.0148          | 0.1119 | 0.0381 |
| 0.0012        | 11.0  | 2409 | 0.0152          | 0.1117 | 0.0366 |
| 0.0013        | 12.0  | 2628 | 0.0156          | 0.1122 | 0.0373 |
| 0.0008        | 13.0  | 2847 | 0.0159          | 0.1120 | 0.0377 |
| 0.0011        | 14.0  | 3066 | 0.0171          | 0.1128 | 0.0408 |
| 0.0008        | 15.0  | 3285 | 0.0161          | 0.1108 | 0.0369 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1