---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-1b-cv-13-elderly-frisian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_13_0
      type: common_voice_13_0
      config: fy-NL
      split: test
      args: fy-NL
    metrics:
    - name: Wer
      type: wer
      value: 0.3621700879765396
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_13_0
      type: common_voice_13_0
      config: fy-NL
      split: validation
      args: fy-NL
    metrics:
    - name: Wer
      type: wer
      value: 0.4703 
---

<!-- 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-1b-cv-13-elderly-frisian

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on a subset of the Common Voice dataset for the elderly population.
It achieves the following results on the evaluation set:
- Loss: 0.6129
- Wer: 0.4703

## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.2575        | 5.0   | 50   | 3.0613          | 1.0    |
| 3.0917        | 10.0  | 100  | 3.1951          | 1.0    |
| 2.9905        | 15.0  | 150  | 2.8278          | 1.0    |
| 2.6373        | 20.0  | 200  | 1.4290          | 1.0013 |
| 1.8438        | 25.0  | 250  | 0.8604          | 0.7939 |
| 1.1253        | 30.0  | 300  | 0.7872          | 0.7009 |
| 0.7395        | 35.0  | 350  | 0.6323          | 0.5780 |
| 0.7408        | 40.0  | 400  | 0.6096          | 0.5315 |
| 0.8041        | 45.0  | 450  | 0.6081          | 0.5239 |
| 0.6946        | 50.0  | 500  | 0.6098          | 0.5074 |
| 0.5954        | 55.0  | 550  | 0.6358          | 0.5132 |
| 0.5571        | 60.0  | 600  | 0.6034          | 0.4922 |
| 0.4828        | 65.0  | 650  | 0.6084          | 0.4774 |
| 0.6639        | 70.0  | 700  | 0.5984          | 0.4712 |
| 0.5682        | 75.0  | 750  | 0.5985          | 0.4712 |
| 0.3801        | 80.0  | 800  | 0.6129          | 0.4703 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2