---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-personality-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-personality-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: 0.2576
- Accuracy: 0.9468
- Precision: 0.9468
- Recall: 0.9468
- F1: 0.9468

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 287  | 0.2285          | 0.9389   | 0.9389    | 0.9389 | 0.9389 |
| 0.2017        | 2.0   | 574  | 0.2408          | 0.9302   | 0.9302    | 0.9302 | 0.9302 |
| 0.2017        | 3.0   | 861  | 0.2523          | 0.9442   | 0.9442    | 0.9442 | 0.9442 |
| 0.104         | 4.0   | 1148 | 0.2537          | 0.9459   | 0.9459    | 0.9459 | 0.9459 |
| 0.104         | 5.0   | 1435 | 0.2576          | 0.9468   | 0.9468    | 0.9468 | 0.9468 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2