---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Elderly4
  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-Elderly4

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: 0.3586
- Cer: 9.6863

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.3662        | 0.2580 | 200  | 1.7987          | 35.5146 |
| 1.448         | 0.5160 | 400  | 1.1509          | 26.5801 |
| 1.1188        | 0.7741 | 600  | 1.0576          | 24.9471 |
| 0.9565        | 1.0321 | 800  | 0.9458          | 23.6783 |
| 0.7732        | 1.2901 | 1000 | 0.7574          | 18.7911 |
| 0.7109        | 1.5481 | 1200 | 0.6910          | 17.4636 |
| 0.6921        | 1.8062 | 1400 | 0.6866          | 18.4387 |
| 0.6118        | 2.0642 | 1600 | 0.6038          | 15.8071 |
| 0.5056        | 2.3222 | 1800 | 0.6301          | 16.7058 |
| 0.4852        | 2.5802 | 2000 | 0.5687          | 14.9495 |
| 0.4708        | 2.8383 | 2200 | 0.5481          | 15.1257 |
| 0.4406        | 3.0963 | 2400 | 0.4806          | 13.2049 |
| 0.3592        | 3.3543 | 2600 | 0.4766          | 12.5529 |
| 0.3367        | 3.6123 | 2800 | 0.4146          | 11.3076 |
| 0.3173        | 3.8703 | 3000 | 0.3976          | 10.9492 |
| 0.274         | 4.1284 | 3200 | 0.4133          | 10.8964 |
| 0.2338        | 4.3864 | 3400 | 0.3755          | 10.1797 |
| 0.227         | 4.6444 | 3600 | 0.3729          | 9.8978  |
| 0.2144        | 4.9024 | 3800 | 0.3586          | 9.6863  |


### Framework versions

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