---
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: hubert_arabic_mdd_10
  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_10

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: 0.5464
- Wer: 0.0794
- Per: 0.0653

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 15.5246       | 1.0   | 164  | 3.2389          | 1.0    | 1.0    |
| 3.2601        | 2.0   | 328  | 3.1338          | 1.0    | 1.0    |
| 2.911         | 3.0   | 492  | 2.5069          | 0.9783 | 0.9855 |
| 2.0767        | 4.0   | 656  | 1.4979          | 0.6935 | 0.6882 |
| 1.2653        | 5.0   | 820  | 1.1179          | 0.4088 | 0.3823 |
| 0.8099        | 6.0   | 984  | 0.7524          | 0.2751 | 0.2546 |
| 0.5667        | 7.0   | 1148 | 0.6187          | 0.1586 | 0.1353 |
| 0.4083        | 8.0   | 1312 | 0.5950          | 0.1286 | 0.1082 |
| 0.3309        | 9.0   | 1476 | 0.4893          | 0.1137 | 0.0959 |
| 0.267         | 10.0  | 1640 | 0.5623          | 0.1146 | 0.0965 |
| 0.2349        | 11.0  | 1804 | 0.5520          | 0.0972 | 0.0810 |
| 0.2139        | 12.0  | 1968 | 0.6002          | 0.0939 | 0.0777 |
| 0.192         | 13.0  | 2132 | 0.5210          | 0.0888 | 0.0736 |
| 0.1559        | 14.0  | 2296 | 0.5566          | 0.0867 | 0.0712 |
| 0.1647        | 15.0  | 2460 | 0.5404          | 0.0886 | 0.0734 |
| 0.1537        | 16.0  | 2624 | 0.5280          | 0.0849 | 0.0702 |
| 0.1306        | 17.0  | 2788 | 0.5547          | 0.0790 | 0.0645 |
| 0.1269        | 18.0  | 2952 | 0.5435          | 0.0797 | 0.0654 |
| 0.1237        | 19.0  | 3116 | 0.5494          | 0.0802 | 0.0658 |
| 0.1258        | 20.0  | 3280 | 0.5464          | 0.0794 | 0.0653 |


### Framework versions

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