metadata
library_name: transformers
license: apache-2.0
base_model: YazanSalameh/Whisper-base-Arabic
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Base-Ar-Tashkeel-Dev - AzeemX
results: []
Whisper-Base-Ar-Tashkeel-Dev - AzeemX
This model is a fine-tuned version of YazanSalameh/Whisper-base-Arabic on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0941
- Wer: 85.6472
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1844 | 1.0323 | 1000 | 0.1771 | 99.3469 |
| 0.0986 | 2.0645 | 2000 | 0.1315 | 95.5247 |
| 0.0572 | 3.0968 | 3000 | 0.1108 | 87.4914 |
| 0.0355 | 4.1290 | 4000 | 0.0985 | 85.2242 |
| 0.0323 | 5.1613 | 5000 | 0.0941 | 85.6472 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 3.0.1
- Tokenizers 0.20.0