metadata
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- fawzanaramam/the-truth-1st-chapter
metrics:
- wer
model-index:
- name: Whisper Small Finetuned on Surah Fatiha
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: The Truth 2.0 - Surah Fatiha
type: fawzanaramam/the-truth-1st-chapter
args: 'config: ar, split: train'
metrics:
- name: Wer
type: wer
value: 0
Whisper Small Finetuned on Surah Fatiha
This model is a fine-tuned version of openai/whisper-small on the The Truth 2.0 - Surah Fatiha dataset. It achieves the following results on the evaluation set:
- Loss: 0.0088
- Wer: 0.0
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.5556 | 10 | 1.1057 | 96.2766 |
| No log | 1.1111 | 20 | 0.3582 | 29.7872 |
| 0.6771 | 1.6667 | 30 | 0.1882 | 23.4043 |
| 0.6771 | 2.2222 | 40 | 0.0928 | 25.0 |
| 0.0289 | 2.7778 | 50 | 0.0660 | 34.0426 |
| 0.0289 | 3.3333 | 60 | 0.0484 | 32.9787 |
| 0.0289 | 3.8889 | 70 | 0.0241 | 25.5319 |
| 0.0056 | 4.4444 | 80 | 0.0184 | 28.7234 |
| 0.0056 | 5.0 | 90 | 0.0111 | 0.0 |
| 0.0019 | 5.5556 | 100 | 0.0088 | 0.0 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1