---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Elderly5
  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-Elderly5

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: 0.4667
- Cer: 12.2650

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.8394        | 0.2580 | 200  | 2.3937          | 46.8691 |
| 1.5046        | 0.5160 | 400  | 1.3945          | 30.3689 |
| 1.0724        | 0.7741 | 600  | 1.0383          | 24.7180 |
| 0.8815        | 1.0321 | 800  | 0.9401          | 22.6797 |
| 0.7286        | 1.2901 | 1000 | 0.8012          | 20.3360 |
| 0.6375        | 1.5481 | 1200 | 0.6044          | 15.5016 |
| 0.5906        | 1.8062 | 1400 | 0.5698          | 14.4678 |
| 0.5084        | 2.0642 | 1600 | 0.5267          | 13.5280 |
| 0.4162        | 2.3222 | 1800 | 0.5424          | 13.9274 |
| 0.4088        | 2.5802 | 2000 | 0.4654          | 11.9596 |
| 0.3803        | 2.8383 | 2200 | 0.4667          | 12.2650 |


### Framework versions

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