metadata
library_name: transformers
license: apache-2.0
base_model: Moaaz5/whisper-ar-small-Version2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-ar-small-Version3
results: []
whisper-ar-small-Version3
This model is a fine-tuned version of Moaaz5/whisper-ar-small-Version2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6456
- Wer: 31.0352
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8528 | 1.0 | 71 | 0.6243 | 38.6043 |
| 0.5861 | 2.0 | 142 | 0.5297 | 33.7708 |
| 0.4035 | 3.0 | 213 | 0.4987 | 31.9313 |
| 0.3142 | 4.0 | 284 | 0.5000 | 30.5397 |
| 0.1907 | 5.0 | 355 | 0.5212 | 30.5661 |
| 0.1353 | 6.0 | 426 | 0.5521 | 30.2340 |
| 0.1031 | 7.0 | 497 | 0.5959 | 30.8191 |
| 0.0525 | 8.0 | 568 | 0.6147 | 30.7453 |
| 0.042 | 9.0 | 639 | 0.6291 | 30.6241 |
| 0.0268 | 10.0 | 710 | 0.6456 | 31.0352 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0