---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indonesian-brand-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-brand-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: 0.4266
- Accuracy: 0.8593
- Precision: 0.8593
- Recall: 0.8593
- F1: 0.8593

## 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   | 304  | 0.4740          | 0.8123   | 0.8123    | 0.8123 | 0.8123 |
| 0.5873        | 2.0   | 608  | 0.4006          | 0.8551   | 0.8551    | 0.8551 | 0.8551 |
| 0.5873        | 3.0   | 912  | 0.4582          | 0.8444   | 0.8444    | 0.8444 | 0.8444 |
| 0.314         | 4.0   | 1216 | 0.4116          | 0.8576   | 0.8576    | 0.8576 | 0.8576 |
| 0.2177        | 5.0   | 1520 | 0.4266          | 0.8593   | 0.8593    | 0.8593 | 0.8593 |


### Framework versions

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