---
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-scandinavian-E4-100h-30-epochs-20250124
  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-scandinavian-E4-100h-30-epochs-20250124

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: nan
- Wer: 100.0
- Cer: 100.0

## 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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 6000
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------:|
| 1.267         | 0.7819  | 1000  | inf             | 47.6367 | 13.5610 |
| 0.5584        | 1.5637  | 2000  | inf             | 26.4059 | 7.2903  |
| 0.4211        | 2.3456  | 3000  | inf             | 23.4538 | 6.4409  |
| 0.5473        | 3.1274  | 4000  | inf             | 21.6233 | 6.0101  |
| 0.4631        | 3.9093  | 5000  | inf             | 21.4830 | 5.9161  |
| 0.2869        | 4.6912  | 6000  | inf             | 21.6286 | 6.0356  |
| 0.4572        | 5.4730  | 7000  | inf             | 22.4768 | 6.2442  |
| 0.2378        | 6.2549  | 8000  | inf             | 21.7372 | 6.1153  |
| 0.3479        | 7.0367  | 9000  | inf             | 22.6372 | 6.2812  |
| 0.368         | 7.8186  | 10000 | inf             | 23.1700 | 6.3923  |
| 0.5023        | 8.6005  | 11000 | inf             | 22.2996 | 6.2065  |
| 0.4695        | 9.3823  | 12000 | inf             | 21.2941 | 5.9487  |
| 0.0           | 10.1642 | 13000 | nan             | 100.0   | 100.0   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0