---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: seq-xls-r-fleurs_nl-run2-asr_af-run6
  results: []
datasets:
- lucas-meyer/asr_af
---

<!-- 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. -->

# seq-xls-r-fleurs_nl-run2-asr_af-run6

This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_nl-run2](https://huggingface.co/lucas-meyer/xls-r-fleurs_nl-run2) on the asr_af dataset.
It achieves the following results:
- Wer (Validation): 35.17%
- Wer (Test): 37.49%

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer (Train)    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.4776        | 0.59  | 100  | 3.2848          | 1.0    |
| 3.0414        | 1.17  | 200  | 2.9526          | 0.9998 |
| 2.4266        | 1.76  | 300  | 1.4622          | 0.9233 |
| 0.9817        | 2.35  | 400  | 0.6617          | 0.5501 |
| 0.6079        | 2.93  | 500  | 0.5610          | 0.4919 |
| 0.442         | 3.52  | 600  | 0.4928          | 0.4326 |
| 0.3558        | 4.11  | 700  | 0.4437          | 0.3960 |
| 0.274         | 4.69  | 800  | 0.4604          | 0.3875 |
| 0.2558        | 5.28  | 900  | 0.4671          | 0.3984 |
| 0.2169        | 5.87  | 1000 | 0.3875          | 0.3520 |
| 0.1769        | 6.45  | 1100 | 0.4117          | 0.3546 |
| 0.1724        | 7.04  | 1200 | 0.4498          | 0.3583 |
| 0.1455        | 7.62  | 1300 | 0.4170          | 0.3475 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3