metadata
library_name: transformers
base_model: Ahmed107/whisper-small-ar-eos-v8
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-small-ar-eos-v8-eos-v12-2
results: []
whisper-small-ar-eos-v8-eos-v12-2
This model is a fine-tuned version of Ahmed107/whisper-small-ar-eos-v8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1011
- Accuracy: 0.6791
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: 32
- eval_batch_size: 32
- seed: 42
- 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_ratio: 0.2
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6108 | 1.0 | 506 | 0.7022 | 0.5 |
| 0.5868 | 2.0 | 1012 | 0.6366 | 0.6780 |
| 0.4895 | 3.0 | 1518 | 0.6820 | 0.6523 |
| 0.5727 | 4.0 | 2024 | 0.5976 | 0.6942 |
| 0.4475 | 5.0 | 2530 | 0.6062 | 0.6992 |
| 0.3666 | 6.0 | 3036 | 0.6934 | 0.6858 |
| 0.3592 | 7.0 | 3542 | 0.7931 | 0.6864 |
| 0.1915 | 8.0 | 4048 | 0.9717 | 0.6747 |
| 0.0762 | 9.0 | 4554 | 1.2450 | 0.6797 |
| 0.0433 | 10.0 | 5060 | 1.6070 | 0.6886 |
| 0.1796 | 11.0 | 5566 | 2.1124 | 0.6786 |
| 0.0163 | 12.0 | 6072 | 2.1746 | 0.6741 |
| 0.012 | 13.0 | 6578 | 2.5129 | 0.6775 |
| 0.0639 | 14.0 | 7084 | 2.6168 | 0.6858 |
| 0.0378 | 15.0 | 7590 | 2.5820 | 0.6869 |
| 0.0001 | 16.0 | 8096 | 2.7996 | 0.6741 |
| 0.0081 | 17.0 | 8602 | 2.8051 | 0.6836 |
| 0.0001 | 18.0 | 9108 | 2.8716 | 0.6875 |
| 0.0 | 19.0 | 9614 | 3.0780 | 0.6702 |
| 0.0597 | 20.0 | 10120 | 2.7799 | 0.6925 |
| 0.0538 | 21.0 | 10626 | 2.7572 | 0.6847 |
| 0.0 | 22.0 | 11132 | 2.7749 | 0.6897 |
| 0.0 | 23.0 | 11638 | 2.8876 | 0.6881 |
| 0.0 | 24.0 | 12144 | 2.9893 | 0.6724 |
| 0.0 | 25.0 | 12650 | 3.0065 | 0.6802 |
| 0.0 | 26.0 | 13156 | 3.0087 | 0.6825 |
| 0.0 | 27.0 | 13662 | 3.0478 | 0.6786 |
| 0.0 | 28.0 | 14168 | 3.0592 | 0.6780 |
| 0.0 | 29.0 | 14674 | 3.0902 | 0.6775 |
| 0.0 | 30.0 | 15180 | 3.1011 | 0.6791 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0