---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: indonesian-roberta-base-prdect-id
  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. -->

# indonesian-roberta-base-prdect-id

This model is a fine-tuned version of [flax-community/indonesian-roberta-base](https://huggingface.co/flax-community/indonesian-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8133
- Accuracy: 0.6852
- F1: 0.6447
- Precision: 0.6464
- Recall: 0.6437

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.0358        | 1.0   | 152  | 0.8293          | 0.6519   | 0.5814 | 0.6399    | 0.5746 |
| 0.7012        | 2.0   | 304  | 0.7444          | 0.6741   | 0.6269 | 0.6360    | 0.6220 |
| 0.5599        | 3.0   | 456  | 0.7635          | 0.6852   | 0.6440 | 0.6433    | 0.6453 |
| 0.4628        | 4.0   | 608  | 0.8031          | 0.6852   | 0.6421 | 0.6471    | 0.6396 |
| 0.4027        | 5.0   | 760  | 0.8133          | 0.6852   | 0.6447 | 0.6464    | 0.6437 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2