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

# xls-r-asr_af-run6

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): 41.33%
- Wer (Test): 42.49%

### 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)    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.6153        | 0.59  | 100  | 4.0306          | 1.0    |
| 3.2623        | 1.17  | 200  | 3.0277          | 1.0    |
| 2.9667        | 1.76  | 300  | 2.9436          | 1.0    |
| 2.4516        | 2.35  | 400  | 1.4571          | 0.9030 |
| 1.174         | 2.93  | 500  | 0.9461          | 0.7412 |
| 0.7792        | 3.52  | 600  | 0.6839          | 0.6080 |
| 0.5749        | 4.11  | 700  | 0.5418          | 0.5068 |
| 0.4187        | 4.69  | 800  | 0.5341          | 0.4902 |
| 0.36          | 5.28  | 900  | 0.5231          | 0.4746 |
| 0.2934        | 5.87  | 1000 | 0.4457          | 0.4133 |
| 0.2338        | 6.45  | 1100 | 0.4904          | 0.4157 |
| 0.2245        | 7.04  | 1200 | 0.4952          | 0.4115 |


### Framework versions

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