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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: seq-xls-r-fleurs_nl-run2-asr_af-run7
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-run7
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 asr_af.
It achieves the following results:
- Val WER: 0.3672
- Test WER: 0.3716
### 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) |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.8229 | 1.47 | 250 | 2.7832 | 0.9998 |
| 1.1565 | 2.93 | 500 | 0.5693 | 0.4932 |
| 0.3893 | 4.4 | 750 | 0.4765 | 0.4026 |
| 0.2536 | 5.87 | 1000 | 0.3951 | 0.3669 |
| 0.1756 | 7.33 | 1250 | 0.4565 | 0.3814 |
| 0.1384 | 8.8 | 1500 | 0.4923 | 0.3606 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3 |