---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
base_model: facebook/wav2vec2-base-960h
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: 0.7209
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
| 0.7909        | 1.0   | 51   | 0.8018          | 1.0 | 1.0 |
| 0.6736        | 2.0   | 102  | 1.1252          | 1.0 | 1.0 |
| 0.7037        | 3.0   | 153  | 0.7432          | 1.0 | 1.0 |
| 0.724         | 4.0   | 204  | 1.2762          | 1.0 | 1.0 |
| 0.8887        | 5.0   | 255  | 0.7064          | 1.0 | 1.0 |
| 0.835         | 6.0   | 306  | 1.0820          | 1.0 | 1.0 |
| 0.8042        | 7.0   | 357  | 1.0530          | 1.0 | 1.0 |
| 0.7475        | 8.0   | 408  | 0.6969          | 1.0 | 1.0 |
| 0.6998        | 9.0   | 459  | 0.7852          | 1.0 | 1.0 |
| 0.7048        | 10.0  | 510  | 0.6942          | 1.0 | 1.0 |
| 0.7883        | 11.0  | 561  | 0.7767          | 1.0 | 1.0 |
| 0.6773        | 12.0  | 612  | 0.7355          | 1.0 | 1.0 |
| 0.7421        | 13.0  | 663  | 1.5550          | 1.0 | 1.0 |
| 0.7573        | 14.0  | 714  | 0.8736          | 1.0 | 1.0 |
| 0.6911        | 15.0  | 765  | 1.3328          | 1.0 | 1.0 |
| 0.7129        | 16.0  | 816  | 0.8911          | 1.0 | 1.0 |
| 0.6619        | 17.0  | 867  | 1.0227          | 1.0 | 1.0 |
| 0.6807        | 18.0  | 918  | 0.7829          | 1.0 | 1.0 |
| 0.6409        | 19.0  | 969  | 0.9122          | 1.0 | 1.0 |
| 0.6588        | 20.0  | 1020 | 0.9179          | 1.0 | 1.0 |
| 0.6648        | 21.0  | 1071 | 0.8469          | 1.0 | 1.0 |
| 0.6521        | 22.0  | 1122 | 0.7197          | 1.0 | 1.0 |
| 0.7189        | 23.0  | 1173 | 0.7972          | 1.0 | 1.0 |
| 0.664         | 24.0  | 1224 | 1.0197          | 1.0 | 1.0 |
| 0.6611        | 25.0  | 1275 | 1.0786          | 1.0 | 1.0 |
| 0.6333        | 26.0  | 1326 | 0.8307          | 1.0 | 1.0 |
| 0.6407        | 27.0  | 1377 | 0.7388          | 1.0 | 1.0 |
| 0.6322        | 28.0  | 1428 | 0.6789          | 1.0 | 1.0 |
| 0.6283        | 29.0  | 1479 | 0.6917          | 1.0 | 1.0 |
| 0.6343        | 30.0  | 1530 | 0.7045          | 1.0 | 1.0 |
| 0.6292        | 31.0  | 1581 | 0.6717          | 1.0 | 1.0 |
| 0.6209        | 32.0  | 1632 | 0.7436          | 1.0 | 1.0 |
| 0.6088        | 33.0  | 1683 | 0.7392          | 1.0 | 1.0 |
| 0.6103        | 34.0  | 1734 | 0.7387          | 1.0 | 1.0 |
| 0.6084        | 35.0  | 1785 | 0.7647          | 1.0 | 1.0 |
| 0.6042        | 36.0  | 1836 | 0.8165          | 1.0 | 1.0 |
| 0.605         | 37.0  | 1887 | 0.7578          | 1.0 | 1.0 |
| 0.6042        | 38.0  | 1938 | 0.7359          | 1.0 | 1.0 |
| 0.6           | 39.0  | 1989 | 0.7287          | 1.0 | 1.0 |
| 0.5963        | 40.0  | 2040 | 0.7209          | 1.0 | 1.0 |


### Framework versions

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