---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-personalyty-indoBERT-finetuned
  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-personalyty-indoBERT-finetuned

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1403
- Accuracy: 0.9732
- Precision: 0.9732
- Recall: 0.9732
- F1: 0.9732

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.434         | 1.0   | 550  | 0.1352          | 0.9659   | 0.9659    | 0.9659 | 0.9659 |
| 0.1207        | 2.0   | 1100 | 0.1403          | 0.9732   | 0.9732    | 0.9732 | 0.9732 |
| 0.091         | 3.0   | 1650 | 0.1291          | 0.9700   | 0.9700    | 0.9700 | 0.9700 |
| 0.0633        | 4.0   | 2200 | 0.1367          | 0.9722   | 0.9722    | 0.9722 | 0.9722 |
| 0.0463        | 5.0   | 2750 | 0.1414          | 0.9732   | 0.9732    | 0.9732 | 0.9732 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2