---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_arabic_mdd_50
  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_50

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: 0.5409
- Wer: 0.0470
- Per: 0.0360

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 8.874         | 1.0   | 818   | 2.7367          | 1.0    | 1.0    |
| 1.4558        | 2.0   | 1636  | 0.6219          | 0.2525 | 0.2344 |
| 0.3775        | 3.0   | 2454  | 0.4014          | 0.0885 | 0.0742 |
| 0.2126        | 4.0   | 3272  | 0.4332          | 0.0656 | 0.0500 |
| 0.1658        | 5.0   | 4090  | 0.4970          | 0.0608 | 0.0464 |
| 0.1308        | 6.0   | 4908  | 0.4520          | 0.0591 | 0.0445 |
| 0.1058        | 7.0   | 5726  | 0.4513          | 0.0531 | 0.0407 |
| 0.0968        | 8.0   | 6544  | 0.4253          | 0.0548 | 0.0413 |
| 0.0871        | 9.0   | 7362  | 0.4232          | 0.0524 | 0.0405 |
| 0.0681        | 10.0  | 8180  | 0.4612          | 0.0508 | 0.0392 |
| 0.0651        | 11.0  | 8998  | 0.4978          | 0.0516 | 0.0394 |
| 0.0587        | 12.0  | 9816  | 0.5069          | 0.0512 | 0.0389 |
| 0.046         | 13.0  | 10634 | 0.5170          | 0.0489 | 0.0370 |
| 0.0439        | 14.0  | 11452 | 0.5758          | 0.0536 | 0.0417 |
| 0.0401        | 15.0  | 12270 | 0.5238          | 0.0500 | 0.0384 |
| 0.0346        | 16.0  | 13088 | 0.5668          | 0.0483 | 0.0368 |
| 0.0334        | 17.0  | 13906 | 0.5343          | 0.0459 | 0.0350 |
| 0.0336        | 18.0  | 14724 | 0.5242          | 0.0466 | 0.0361 |
| 0.0266        | 19.0  | 15542 | 0.5379          | 0.0467 | 0.0359 |
| 0.0245        | 20.0  | 16360 | 0.5409          | 0.0470 | 0.0360 |


### Framework versions

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