---
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: 0.5404
- Wer: 0.0859
- Per: 0.0671

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 6.3943        | 1.0   | 1637  | 1.2722          | 0.4693 | 0.4456 |
| 0.7962        | 2.0   | 3274  | 0.5990          | 0.1377 | 0.1185 |
| 0.4245        | 3.0   | 4911  | 0.6075          | 0.0899 | 0.0674 |
| 0.2898        | 4.0   | 6548  | 0.5285          | 0.0979 | 0.0738 |
| 0.2262        | 5.0   | 8185  | 0.5600          | 0.0977 | 0.0758 |
| 0.1803        | 6.0   | 9822  | 0.5504          | 0.0808 | 0.0603 |
| 0.1488        | 7.0   | 11459 | 0.5854          | 0.0898 | 0.0700 |
| 0.1267        | 8.0   | 13096 | 0.5438          | 0.0914 | 0.0722 |
| 0.1156        | 9.0   | 14733 | 0.5395          | 0.0866 | 0.0671 |
| 0.0993        | 10.0  | 16370 | 0.5404          | 0.0859 | 0.0671 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1