---
language:
- tr
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17
model-index:
- name: 'Wav2Vec2-XLS-TR '
  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-XLS-TR 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4817

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 8.5104        | 1.0   | 1451  | 5.2696          |
| 3.7233        | 2.0   | 2902  | 3.2482          |
| 2.6473        | 3.0   | 4353  | 1.6343          |
| 1.0373        | 4.0   | 5804  | 0.8273          |
| 0.6737        | 5.0   | 7255  | 0.6109          |
| 0.5356        | 6.0   | 8706  | 0.5244          |
| 0.4556        | 7.0   | 10157 | 0.4773          |
| 0.4099        | 8.0   | 11608 | 0.4491          |
| 0.3648        | 9.0   | 13059 | 0.4378          |
| 0.3426        | 10.0  | 14510 | 0.4343          |
| 0.3226        | 11.0  | 15961 | 0.4279          |
| 0.3033        | 12.0  | 17412 | 0.4336          |
| 0.2861        | 13.0  | 18863 | 0.4195          |
| 0.2683        | 14.0  | 20314 | 0.4282          |
| 0.2514        | 15.0  | 21765 | 0.4204          |
| 0.2439        | 16.0  | 23216 | 0.4388          |
| 0.2368        | 17.0  | 24667 | 0.4325          |
| 0.2263        | 18.0  | 26118 | 0.4402          |
| 0.2162        | 19.0  | 27569 | 0.4470          |
| 0.2092        | 20.0  | 29020 | 0.4427          |
| 0.207         | 21.0  | 30471 | 0.4590          |
| 0.2014        | 22.0  | 31922 | 0.4605          |
| 0.1954        | 23.0  | 33373 | 0.4682          |
| 0.1895        | 24.0  | 34824 | 0.4683          |
| 0.1858        | 25.0  | 36275 | 0.4657          |
| 0.1792        | 26.0  | 37726 | 0.4692          |
| 0.1782        | 27.0  | 39177 | 0.4728          |
| 0.1793        | 28.0  | 40628 | 0.4783          |
| 0.1743        | 29.0  | 42079 | 0.4782          |
| 0.1732        | 30.0  | 43530 | 0.4817          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1