---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xls-r-asr_af-run8
  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. -->

# xls-r-asr_af-run8

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the asr_af dataset.
It achieves the following results:
- Wer (Validation): 37.00%
- Wer (Test): 38.77%

### 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)    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.1505        | 2.35  | 400  | 1.0968          | 0.7889 |
| 0.6096        | 4.69  | 800  | 0.5411          | 0.4601 |
| 0.2559        | 7.04  | 1200 | 0.4883          | 0.4014 |
| 0.1464        | 9.38  | 1600 | 0.4516          | 0.3704 |
| 0.1079        | 11.73 | 2000 | 0.4880          | 0.3563 |
| 0.0808        | 14.08 | 2400 | 0.4873          | 0.3526 |


### Framework versions

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