---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-960h-Arabic
  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. -->

# wav2vec2-base-960h-Arabic

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6190
- Wer: 1.0
- Cer: 1.0

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
| 8.1025        | 1.0   | 51   | 4.9004          | 1.0 | 1.0 |
| 1.3634        | 2.0   | 102  | 1.2766          | 1.0 | 1.0 |
| 1.1559        | 3.0   | 153  | 1.1179          | 1.0 | 1.0 |
| 1.0742        | 4.0   | 204  | 1.4401          | 1.0 | 1.0 |
| 1.0112        | 5.0   | 255  | 0.7570          | 1.0 | 1.0 |
| 0.9263        | 6.0   | 306  | 0.6297          | 1.0 | 1.0 |
| 0.9983        | 7.0   | 357  | 1.7016          | 1.0 | 1.0 |
| 0.7949        | 8.0   | 408  | 0.6406          | 1.0 | 1.0 |
| 0.9205        | 9.0   | 459  | 1.0371          | 1.0 | 1.0 |
| 0.7783        | 10.0  | 510  | 0.8300          | 1.0 | 1.0 |
| 0.8202        | 11.0  | 561  | 0.7223          | 1.0 | 1.0 |
| 0.7737        | 12.0  | 612  | 0.7909          | 1.0 | 1.0 |
| 0.7426        | 13.0  | 663  | 0.7968          | 1.0 | 1.0 |
| 0.7211        | 14.0  | 714  | 0.7648          | 1.0 | 1.0 |
| 0.7526        | 15.0  | 765  | 0.6257          | 1.0 | 1.0 |
| 0.7361        | 16.0  | 816  | 0.6500          | 1.0 | 1.0 |
| 0.716         | 17.0  | 867  | 0.9519          | 1.0 | 1.0 |
| 0.7595        | 18.0  | 918  | 0.6324          | 1.0 | 1.0 |
| 0.8078        | 19.0  | 969  | 0.8474          | 1.0 | 1.0 |
| 0.7761        | 20.0  | 1020 | 0.6274          | 1.0 | 1.0 |
| 0.6514        | 21.0  | 1071 | 0.7698          | 1.0 | 1.0 |
| 0.8607        | 22.0  | 1122 | 0.6179          | 1.0 | 1.0 |
| 0.7999        | 23.0  | 1173 | 0.6416          | 1.0 | 1.0 |
| 0.7267        | 24.0  | 1224 | 0.6506          | 1.0 | 1.0 |
| 0.6705        | 25.0  | 1275 | 0.6232          | 1.0 | 1.0 |
| 0.6669        | 26.0  | 1326 | 0.6472          | 1.0 | 1.0 |
| 0.6731        | 27.0  | 1377 | 0.6190          | 1.0 | 1.0 |
| 0.6532        | 28.0  | 1428 | 0.6197          | 1.0 | 1.0 |
| 0.6423        | 29.0  | 1479 | 0.6608          | 1.0 | 1.0 |
| 0.6574        | 30.0  | 1530 | 0.6175          | 1.0 | 1.0 |
| 0.6586        | 31.0  | 1581 | 0.6320          | 1.0 | 1.0 |
| 0.6339        | 32.0  | 1632 | 0.6196          | 1.0 | 1.0 |
| 0.6628        | 33.0  | 1683 | 0.6176          | 1.0 | 1.0 |
| 0.6222        | 34.0  | 1734 | 0.6434          | 1.0 | 1.0 |
| 0.6293        | 35.0  | 1785 | 0.6301          | 1.0 | 1.0 |
| 0.6337        | 36.0  | 1836 | 0.6357          | 1.0 | 1.0 |
| 0.6168        | 37.0  | 1887 | 0.6179          | 1.0 | 1.0 |
| 0.6093        | 38.0  | 1938 | 0.6197          | 1.0 | 1.0 |
| 0.6053        | 39.0  | 1989 | 0.6188          | 1.0 | 1.0 |
| 0.6014        | 40.0  | 2040 | 0.6190          | 1.0 | 1.0 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2