---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Elderly
  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. -->

# wav2vec2-1b-Elderly

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: 0.4157
- Cer: 11.1137

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.645         | 0.2580 | 200  | 2.2625          | 43.7735 |
| 1.4937        | 0.5161 | 400  | 1.2311          | 27.9488 |
| 1.0981        | 0.7741 | 600  | 0.9801          | 23.6020 |
| 0.898         | 1.0322 | 800  | 0.8050          | 20.0658 |
| 0.7284        | 1.2902 | 1000 | 0.7320          | 18.3447 |
| 0.6644        | 1.5483 | 1200 | 0.6092          | 15.7484 |
| 0.592         | 1.8063 | 1400 | 0.5996          | 15.8893 |
| 0.4926        | 2.0643 | 1600 | 0.5654          | 14.6147 |
| 0.4054        | 2.3224 | 1800 | 0.4774          | 12.5822 |
| 0.3902        | 2.5804 | 2000 | 0.4446          | 11.9772 |
| 0.361         | 2.8385 | 2200 | 0.4157          | 11.1137 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1