|
--- |
|
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-v12-1.7 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# whisper-small-ar-eos-v8-eos-v12-1.7 |
|
|
|
This model is a fine-tuned version of [Ahmed107/whisper-small-ar-eos-v8](https://huggingface.co/Ahmed107/whisper-small-ar-eos-v8) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.1353 |
|
- Accuracy: 0.6769 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.6284 | 1.0 | 506 | 0.6770 | 0.5022 | |
|
| 0.6035 | 2.0 | 1012 | 0.6186 | 0.6830 | |
|
| 0.5059 | 3.0 | 1518 | 0.6554 | 0.6674 | |
|
| 0.582 | 4.0 | 2024 | 0.5851 | 0.6959 | |
|
| 0.4402 | 5.0 | 2530 | 0.6048 | 0.6975 | |
|
| 0.3958 | 6.0 | 3036 | 0.6634 | 0.6948 | |
|
| 0.3674 | 7.0 | 3542 | 0.8059 | 0.6948 | |
|
| 0.1777 | 8.0 | 4048 | 1.0172 | 0.6864 | |
|
| 0.1309 | 9.0 | 4554 | 1.1437 | 0.6747 | |
|
| 0.0751 | 10.0 | 5060 | 1.5102 | 0.6763 | |
|
| 0.0493 | 11.0 | 5566 | 1.9769 | 0.6680 | |
|
| 0.0371 | 12.0 | 6072 | 2.3622 | 0.6797 | |
|
| 0.0081 | 13.0 | 6578 | 2.5350 | 0.6802 | |
|
| 0.0002 | 14.0 | 7084 | 2.8013 | 0.6730 | |
|
| 0.0178 | 15.0 | 7590 | 2.9604 | 0.6663 | |
|
| 0.0001 | 16.0 | 8096 | 3.0905 | 0.6652 | |
|
| 0.0001 | 17.0 | 8602 | 3.0268 | 0.6669 | |
|
| 0.0001 | 18.0 | 9108 | 2.8729 | 0.6853 | |
|
| 0.0 | 19.0 | 9614 | 2.9037 | 0.6847 | |
|
| 0.0171 | 20.0 | 10120 | 2.8267 | 0.6808 | |
|
| 0.0 | 21.0 | 10626 | 2.8189 | 0.6814 | |
|
| 0.0 | 22.0 | 11132 | 2.9142 | 0.6791 | |
|
| 0.0001 | 23.0 | 11638 | 2.8557 | 0.6814 | |
|
| 0.0 | 24.0 | 12144 | 3.0361 | 0.6724 | |
|
| 0.0 | 25.0 | 12650 | 3.0190 | 0.6713 | |
|
| 0.0 | 26.0 | 13156 | 3.0526 | 0.6752 | |
|
| 0.0 | 27.0 | 13662 | 3.0976 | 0.6802 | |
|
| 0.0 | 28.0 | 14168 | 3.1136 | 0.6713 | |
|
| 0.0 | 29.0 | 14674 | 3.1319 | 0.6758 | |
|
| 0.0 | 30.0 | 15180 | 3.1353 | 0.6769 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.0.dev0 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
