---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-Arabic-phoneme-based-MDD-experiment3
  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-large-xls-r-300m-Arabic-phoneme-based-MDD-experiment3

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0558
- Per: 0.0156
- Wer: 0.0184

## 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: 30.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Per    | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2.4598        | 1.0   | 546   | 1.8270          | 0.9903 | 0.9822 |
| 1.8808        | 2.0   | 1093  | 1.8033          | 0.9898 | 0.9813 |
| 1.8584        | 3.0   | 1640  | 1.7560          | 0.9950 | 0.9906 |
| 1.8313        | 4.0   | 2187  | 1.6726          | 0.9881 | 0.9817 |
| 1.764         | 5.0   | 2733  | 1.4356          | 0.9688 | 0.9680 |
| 1.5369        | 6.0   | 3280  | 0.6934          | 0.5617 | 0.5871 |
| 1.228         | 7.0   | 3827  | 0.3561          | 0.2158 | 0.2483 |
| 1.0419        | 8.0   | 4374  | 0.1982          | 0.0925 | 0.1170 |
| 0.9134        | 9.0   | 4920  | 0.1557          | 0.0692 | 0.0806 |
| 0.813         | 10.0  | 5467  | 0.1070          | 0.0507 | 0.0589 |
| 0.7471        | 11.0  | 6014  | 0.0969          | 0.0389 | 0.0453 |
| 0.693         | 12.0  | 6561  | 0.0840          | 0.0311 | 0.0375 |
| 0.6506        | 13.0  | 7107  | 0.0745          | 0.0285 | 0.0339 |
| 0.6159        | 14.0  | 7654  | 0.0765          | 0.0264 | 0.0321 |
| 0.5839        | 15.0  | 8201  | 0.0652          | 0.0253 | 0.0307 |
| 0.5578        | 16.0  | 8748  | 0.0672          | 0.0236 | 0.0281 |
| 0.5259        | 17.0  | 9294  | 0.0664          | 0.0231 | 0.0270 |
| 0.5011        | 18.0  | 9841  | 0.0656          | 0.0215 | 0.0254 |
| 0.4755        | 19.0  | 10388 | 0.0674          | 0.0206 | 0.0239 |
| 0.4471        | 20.0  | 10935 | 0.0649          | 0.0203 | 0.0242 |
| 0.4276        | 21.0  | 11481 | 0.0636          | 0.0202 | 0.0229 |
| 0.4065        | 22.0  | 12028 | 0.0589          | 0.0183 | 0.0214 |
| 0.3889        | 23.0  | 12575 | 0.0554          | 0.0179 | 0.0210 |
| 0.3695        | 24.0  | 13122 | 0.0572          | 0.0171 | 0.0202 |
| 0.3536        | 25.0  | 13668 | 0.0551          | 0.0167 | 0.0189 |
| 0.3385        | 26.0  | 14215 | 0.0604          | 0.0169 | 0.0197 |
| 0.3276        | 27.0  | 14762 | 0.0581          | 0.0157 | 0.0183 |
| 0.3174        | 28.0  | 15309 | 0.0564          | 0.0157 | 0.0181 |
| 0.3093        | 29.0  | 15855 | 0.0564          | 0.0153 | 0.0180 |
| 0.3017        | 29.96 | 16380 | 0.0558          | 0.0156 | 0.0184 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3