---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2_Indonesia_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2_Indonesia_4

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: 1.3147
- Wer: 0.5914

## Model description

Model yang dilatih dengan data  train common voice dan data test data perkuliahan

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.9949        | 3.23  | 400  | 1.3340          | 0.8916 |
| 0.4469        | 6.45  | 800  | 1.0507          | 0.6859 |
| 0.2003        | 9.68  | 1200 | 1.1115          | 0.6369 |
| 0.1432        | 12.9  | 1600 | 1.1307          | 0.6297 |
| 0.1138        | 16.13 | 2000 | 1.2157          | 0.6369 |
| 0.089         | 19.35 | 2400 | 1.2834          | 0.6058 |
| 0.0712        | 22.58 | 2800 | 1.3283          | 0.5947 |
| 0.057         | 25.81 | 3200 | 1.3345          | 0.5827 |
| 0.0467        | 29.03 | 3600 | 1.3147          | 0.5914 |


### Framework versions

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