---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec_arabic_mdd_experiment2
  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. -->

# wav2vec_arabic_mdd_experiment2

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1776
- Per: 0.0693

## 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: 8
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4089        | 1.0   | 427  | 0.1893          | 0.0889 |
| 0.4135        | 2.0   | 855  | 0.1783          | 0.0939 |
| 0.3924        | 3.0   | 1282 | 0.1825          | 0.0912 |
| 0.3598        | 4.0   | 1710 | 0.1768          | 0.0927 |
| 0.3349        | 5.0   | 2137 | 0.1695          | 0.0898 |
| 0.3068        | 6.0   | 2565 | 0.1749          | 0.0927 |
| 0.286         | 7.0   | 2992 | 0.1731          | 0.0852 |
| 0.2665        | 8.0   | 3420 | 0.1835          | 0.0784 |
| 0.246         | 9.0   | 3847 | 0.1824          | 0.0893 |
| 0.2314        | 10.0  | 4275 | 0.1768          | 0.0796 |
| 0.2105        | 11.0  | 4702 | 0.1721          | 0.0751 |
| 0.1982        | 12.0  | 5130 | 0.1842          | 0.0761 |
| 0.1877        | 13.0  | 5557 | 0.1802          | 0.0750 |
| 0.1735        | 14.0  | 5985 | 0.1740          | 0.0770 |
| 0.1733        | 15.0  | 6412 | 0.1695          | 0.0752 |
| 0.1634        | 16.0  | 6840 | 0.1720          | 0.0757 |
| 0.1542        | 17.0  | 7267 | 0.1757          | 0.0689 |
| 0.1444        | 18.0  | 7695 | 0.1748          | 0.0701 |
| 0.1365        | 19.0  | 8122 | 0.1777          | 0.0690 |
| 0.1331        | 19.98 | 8540 | 0.1776          | 0.0693 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1