---
license: 
- other
- apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-300m-dsb-base
  results: []
language:
- dsb
metrics:
- wer
---

<!-- 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-300m-dsb-base

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the dataset ["maminorěcna dolnoserbšćina"](https://dolnoserbski.de/dobes/?r%C4%9Bc=dsb) (native Lower Sorbian corpus). The rights on this dataset are reserved by the Institute for the Study of the Language, History and Culture of the Lusatian Sorbs/Wends and Comparative Minority Research. In case of any copyright issues, feel free to contact me so I can take this model offline.


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 36
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Step | Training Loss | Validation Loss | Wer      |
|---|---|---|----------|
| 200 | 5.513600 | 3.467023 | 1.000000 |
| 400 | 3.261500 | 3.338312 | 1.000000 |
| 600 | 3.165600 | 3.269723 | 1.000000 |
| 800 | 3.061200 | 3.040675 | 0.970368 |
| 1000 | 2.900200 | 2.777975 | 0.999815 |
| 1200 | 2.628300 | 2.489217 | 0.977313 |
| 1400 | 2.238100 | 2.156038 | 0.955459 |
| 1600 | 1.997200 | 2.101610 | 0.940087 |
| 1800 | 1.755900 | 1.965557 | 0.902398 |
| 2000 | 1.558900 | 2.060277 | 0.949810 |
| 2200 | 1.384400 | 2.010253 | 0.899713 |
| 2400 | 1.201500 | 2.141238 | 0.926382 |
| 2600 | 1.035700 | 2.229016 | 0.906195 |
| 2800 | 0.853200 | 2.401224 | 0.881008 |
| 3000 | 0.714000 | 2.431344 | 0.890175 |
| 3200 | 0.608200 | 2.569438 | 0.893509 |

### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3