---
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