---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_arabic_mdd_5
  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_5

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: 0.6845
- Wer: 0.1910
- Per: 0.1682

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 21.0868       | 1.0   | 82   | 3.5829          | 1.0    | 1.0    |
| 3.5419        | 2.0   | 164  | 3.3544          | 1.0    | 1.0    |
| 3.3109        | 3.0   | 246  | 3.1878          | 1.0    | 1.0    |
| 3.2117        | 4.0   | 328  | 3.1324          | 1.0    | 1.0    |
| 3.0509        | 5.0   | 410  | 2.9238          | 1.0    | 1.0    |
| 2.7904        | 6.0   | 492  | 2.4830          | 1.0    | 1.0    |
| 2.2728        | 7.0   | 574  | 2.0478          | 0.8358 | 0.8474 |
| 1.8365        | 8.0   | 656  | 1.6043          | 0.7094 | 0.7206 |
| 1.4603        | 9.0   | 738  | 1.2872          | 0.6193 | 0.6247 |
| 1.2203        | 10.0  | 820  | 1.2694          | 0.4343 | 0.4229 |
| 0.9726        | 11.0  | 902  | 0.9350          | 0.4191 | 0.4116 |
| 0.8458        | 12.0  | 984  | 0.8471          | 0.3734 | 0.3640 |
| 0.7365        | 13.0  | 1066 | 0.8078          | 0.3530 | 0.3439 |
| 0.6204        | 14.0  | 1148 | 0.7618          | 0.3031 | 0.2874 |
| 0.5913        | 15.0  | 1230 | 0.7372          | 0.2598 | 0.2382 |
| 0.5217        | 16.0  | 1312 | 0.7219          | 0.2354 | 0.2149 |
| 0.4866        | 17.0  | 1394 | 0.7125          | 0.2071 | 0.1836 |
| 0.4735        | 18.0  | 1476 | 0.7071          | 0.1967 | 0.1742 |
| 0.462         | 19.0  | 1558 | 0.6910          | 0.1910 | 0.1677 |
| 0.458         | 20.0  | 1640 | 0.6845          | 0.1910 | 0.1682 |


### Framework versions

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