---
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: 0.2629
- Accuracy: 0.9511
- Precision: 0.9511
- Recall: 0.9511
- F1: 0.9511

## 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  | 0.2033          | 0.9372   | 0.9372    | 0.9372 | 0.9372 |
| 0.204         | 2.0   | 574  | 0.2492          | 0.9415   | 0.9415    | 0.9415 | 0.9415 |
| 0.204         | 3.0   | 861  | 0.2422          | 0.9468   | 0.9468    | 0.9468 | 0.9468 |
| 0.094         | 4.0   | 1148 | 0.2540          | 0.9503   | 0.9503    | 0.9503 | 0.9503 |
| 0.094         | 5.0   | 1435 | 0.2629          | 0.9511   | 0.9511    | 0.9511 | 0.9511 |


### Framework versions

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