metadata
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: []
Whisper tiny AR - BH
This model is a fine-tuned version of openai/whisper-tiny on the quran-ayat-speech-to-text dataset. It achieves the following results on the evaluation set:
- Loss: 0.0168
- Wer: 0.0933
- Cer: 0.0351
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 |
|---|---|---|---|---|---|
| 0.0099 | 1.0 | 157 | 0.0100 | 0.1046 | 0.0351 |
| 0.0082 | 2.0 | 314 | 0.0097 | 0.1061 | 0.0376 |
| 0.0067 | 3.0 | 471 | 0.0107 | 0.1294 | 0.0416 |
| 0.0046 | 4.0 | 628 | 0.0124 | 0.1352 | 0.0468 |
| 0.0034 | 5.0 | 785 | 0.0136 | 0.1281 | 0.0458 |
| 0.0027 | 6.0 | 942 | 0.0138 | 0.1348 | 0.0499 |
| 0.0019 | 7.0 | 1099 | 0.0137 | 0.1202 | 0.0408 |
| 0.0013 | 8.0 | 1256 | 0.0139 | 0.1169 | 0.0410 |
| 0.0009 | 9.0 | 1413 | 0.0144 | 0.1182 | 0.0430 |
| 0.0008 | 10.0 | 1570 | 0.0154 | 0.1117 | 0.0416 |
| 0.0006 | 11.0 | 1727 | 0.0156 | 0.1176 | 0.0428 |
| 0.0004 | 12.0 | 1884 | 0.0154 | 0.1026 | 0.0357 |
| 0.0002 | 13.0 | 2041 | 0.0154 | 0.1099 | 0.0409 |
| 0.0001 | 14.0 | 2198 | 0.0159 | 0.1050 | 0.0384 |
| 0.0001 | 15.0 | 2355 | 0.0153 | 0.1033 | 0.0414 |
| 0.0001 | 16.0 | 2512 | 0.0149 | 0.0923 | 0.0348 |
| 0.0 | 17.0 | 2669 | 0.0153 | 0.0914 | 0.0362 |
| 0.0 | 18.0 | 2826 | 0.0154 | 0.0892 | 0.0330 |
| 0.0 | 19.0 | 2983 | 0.0165 | 0.0940 | 0.0367 |
| 0.0 | 19.8768 | 3120 | 0.0161 | 0.0854 | 0.0322 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0