---
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: 0.2053
- Per: 0.1078

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.6285        | 1.0   | 102  | 2.6113          | 1.0    |
| 2.3387        | 2.0   | 205  | 2.3622          | 1.0    |
| 2.3181        | 3.0   | 307  | 2.3030          | 0.9825 |
| 2.1968        | 4.0   | 410  | 1.9821          | 0.9555 |
| 1.7187        | 5.0   | 512  | 1.6775          | 0.9242 |
| 1.6233        | 6.0   | 615  | 1.6232          | 0.9440 |
| 1.5713        | 7.0   | 717  | 1.5419          | 0.9139 |
| 1.4064        | 8.0   | 820  | 1.3078          | 0.8956 |
| 1.2103        | 9.0   | 922  | 1.1363          | 0.8763 |
| 0.898         | 10.0  | 1025 | 0.8109          | 0.8318 |
| 0.6426        | 11.0  | 1127 | 0.6708          | 0.5635 |
| 0.4305        | 12.0  | 1230 | 0.4225          | 0.2889 |
| 0.2961        | 13.0  | 1332 | 0.3487          | 0.1892 |
| 0.1856        | 14.0  | 1435 | 0.2493          | 0.1223 |
| 0.137         | 15.0  | 1537 | 0.2439          | 0.1198 |
| 0.1115        | 16.0  | 1640 | 0.2321          | 0.1196 |
| 0.0923        | 17.0  | 1742 | 0.2226          | 0.1145 |
| 0.0796        | 18.0  | 1845 | 0.2115          | 0.1120 |
| 0.0742        | 19.0  | 1947 | 0.2082          | 0.1078 |
| 0.0684        | 19.9  | 2040 | 0.2053          | 0.1078 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1