---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_arabic_mdd
  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. -->

# hubert_arabic_mdd

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5363
- Wer: 0.0490
- Per: 0.0376

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2.371         | 1.0   | 818   | 1.3106          | 0.6828 | 0.6863 |
| 0.9013        | 2.0   | 1636  | 0.4890          | 0.1144 | 0.0985 |
| 0.3369        | 3.0   | 2454  | 0.4295          | 0.0766 | 0.0611 |
| 0.2219        | 4.0   | 3272  | 0.4386          | 0.0649 | 0.0508 |
| 0.1565        | 5.0   | 4090  | 0.4124          | 0.0660 | 0.0506 |
| 0.1343        | 6.0   | 4908  | 0.4422          | 0.0630 | 0.0493 |
| 0.106         | 7.0   | 5726  | 0.4762          | 0.0600 | 0.0469 |
| 0.091         | 8.0   | 6544  | 0.4487          | 0.0580 | 0.0460 |
| 0.0745        | 9.0   | 7362  | 0.4284          | 0.0577 | 0.0461 |
| 0.0708        | 10.0  | 8180  | 0.4161          | 0.0578 | 0.0451 |
| 0.0621        | 11.0  | 8998  | 0.4659          | 0.0535 | 0.0414 |
| 0.0492        | 12.0  | 9816  | 0.5249          | 0.0557 | 0.0433 |
| 0.0479        | 13.0  | 10634 | 0.5411          | 0.0550 | 0.0426 |
| 0.0452        | 14.0  | 11452 | 0.5161          | 0.0536 | 0.0410 |
| 0.0385        | 15.0  | 12270 | 0.5002          | 0.0521 | 0.0404 |
| 0.0354        | 16.0  | 13088 | 0.4800          | 0.0499 | 0.0389 |
| 0.0342        | 17.0  | 13906 | 0.5079          | 0.0506 | 0.0394 |
| 0.0269        | 18.0  | 14724 | 0.5144          | 0.0499 | 0.0386 |
| 0.0247        | 19.0  | 15542 | 0.5334          | 0.0496 | 0.0380 |
| 0.0208        | 20.0  | 16360 | 0.5363          | 0.0490 | 0.0376 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0