---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-1b-luxembourgish-38h-11k-steps
  results: []
---

<!-- 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-xls-r-1b-luxembourgish-38h-11k-steps

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5388
- Wer: 53.3282
- Cer: 15.6751

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3000
- training_steps: 11000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------:|
| 0.627         | 1.4286  | 1000  | 0.3266          | 39.7841 | 11.5375 |
| 0.9399        | 2.8571  | 2000  | 0.5695          | 46.6975 | 13.7326 |
| 0.7264        | 4.2857  | 3000  | 0.4885          | 48.5736 | 14.8389 |
| 0.7351        | 5.7143  | 4000  | 0.5389          | 53.3539 | 15.6838 |
| 0.759         | 7.1429  | 5000  | 0.5388          | 53.4567 | 15.6620 |
| 0.7855        | 8.5714  | 6000  | 0.5388          | 53.2768 | 15.6707 |
| 0.762         | 10.0    | 7000  | 0.5388          | 53.3796 | 15.7012 |
| 0.7479        | 11.4286 | 8000  | 0.5388          | 53.3539 | 15.6751 |
| 0.8233        | 12.8571 | 9000  | 0.5388          | 53.4053 | 15.6794 |
| 0.7284        | 14.2857 | 10000 | 0.5388          | 53.3025 | 15.6925 |
| 0.7415        | 15.7143 | 11000 | 0.5388          | 53.3282 | 15.6751 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3