---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: vtt-indonesia
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vtt-indonesia

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3472
- Wer: 0.3582

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.7612        | 3.23  | 400  | 0.6405          | 0.6714 |
| 0.4143        | 6.45  | 800  | 0.3772          | 0.4974 |
| 0.2068        | 9.68  | 1200 | 0.3877          | 0.4442 |
| 0.1436        | 12.9  | 1600 | 0.3785          | 0.4212 |
| 0.1133        | 16.13 | 2000 | 0.3944          | 0.4144 |
| 0.09          | 19.35 | 2400 | 0.3695          | 0.3925 |
| 0.0705        | 22.58 | 2800 | 0.3706          | 0.3846 |
| 0.057         | 25.81 | 3200 | 0.3720          | 0.3725 |
| 0.048         | 29.03 | 3600 | 0.3472          | 0.3582 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3