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

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: 1.5458
- Per: 0.2292

## 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: 2
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.2235        | 1.0   | 2187  | 1.9282          | 0.6005 |
| 1.5785        | 2.0   | 4374  | 1.4976          | 0.4575 |
| 1.2838        | 3.0   | 6561  | 1.3438          | 0.4153 |
| 1.1328        | 4.0   | 8748  | 1.3677          | 0.3842 |
| 1.0331        | 5.0   | 10935 | 1.2632          | 0.3575 |
| 0.9463        | 6.0   | 13122 | 1.2040          | 0.3515 |
| 0.8686        | 7.0   | 15309 | 1.1669          | 0.3333 |
| 0.8009        | 8.0   | 17496 | 1.1435          | 0.3233 |
| 0.748         | 9.0   | 19683 | 1.1334          | 0.3122 |
| 0.6908        | 10.0  | 21870 | 1.1131          | 0.2925 |
| 0.6339        | 11.0  | 24057 | 1.1514          | 0.2872 |
| 0.5911        | 12.0  | 26244 | 1.1188          | 0.2784 |
| 0.5513        | 13.0  | 28431 | 1.1334          | 0.2790 |
| 0.5127        | 14.0  | 30618 | 1.1662          | 0.2694 |
| 0.4782        | 15.0  | 32805 | 1.1719          | 0.2634 |
| 0.4448        | 16.0  | 34992 | 1.1635          | 0.2600 |
| 0.4167        | 17.0  | 37179 | 1.2173          | 0.2561 |
| 0.3913        | 18.0  | 39366 | 1.2252          | 0.2542 |
| 0.3639        | 19.0  | 41553 | 1.2478          | 0.2490 |
| 0.3441        | 20.0  | 43740 | 1.2977          | 0.2504 |
| 0.3245        | 21.0  | 45927 | 1.3575          | 0.2477 |
| 0.3048        | 22.0  | 48114 | 1.3489          | 0.2420 |
| 0.2885        | 23.0  | 50301 | 1.3860          | 0.2398 |
| 0.2715        | 24.0  | 52488 | 1.4116          | 0.2406 |
| 0.2588        | 25.0  | 54675 | 1.4896          | 0.2374 |
| 0.2454        | 26.0  | 56862 | 1.4672          | 0.2324 |
| 0.2344        | 27.0  | 59049 | 1.5015          | 0.2324 |
| 0.2245        | 28.0  | 61236 | 1.5205          | 0.2308 |
| 0.2183        | 29.0  | 63423 | 1.5248          | 0.2302 |
| 0.2089        | 30.0  | 65610 | 1.5458          | 0.2292 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3