---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-1b-frisian-cv-13-elderly-augmented
  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-1b-frisian-cv-13-elderly-augmented

This model is a fine-tuned version of [greenw0lf/wav2vec2-large-xls-r-1b-frisian](https://huggingface.co/greenw0lf/wav2vec2-large-xls-r-1b-frisian) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1937
- Wer: 0.2602

## 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: 2e-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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.7364        | 2.5   | 50   | 2.9854          | 1.0    |
| 1.9624        | 5.0   | 100  | 0.3770          | 0.2812 |
| 0.8855        | 7.5   | 150  | 0.2479          | 0.2499 |
| 0.5855        | 10.0  | 200  | 0.2291          | 0.2481 |
| 0.44          | 12.5  | 250  | 0.2096          | 0.2490 |
| 0.7951        | 15.0  | 300  | 0.1971          | 0.2553 |
| 0.7498        | 17.5  | 350  | 0.1958          | 0.2521 |
| 0.3246        | 20.0  | 400  | 0.1963          | 0.2651 |
| 0.4627        | 22.5  | 450  | 0.1925          | 0.2588 |
| 0.4105        | 25.0  | 500  | 0.1922          | 0.2611 |
| 0.5051        | 27.5  | 550  | 0.1949          | 0.2593 |
| 0.6736        | 30.0  | 600  | 0.1937          | 0.2602 |


### Framework versions

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