---
library_name: transformers
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0994
- Accuracy: 0.9858
- F1: 0.9850
- Precision: 0.9871
- Recall: 0.9829

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.1153        | 1.0   | 1478 | 0.0675          | 0.9871   | 0.9865 | 0.9837    | 0.9893 |
| 0.0632        | 2.0   | 2956 | 0.0508          | 0.9882   | 0.9876 | 0.9811    | 0.9943 |
| 0.0397        | 3.0   | 4434 | 0.0546          | 0.9865   | 0.9858 | 0.9810    | 0.9908 |
| 0.027         | 4.0   | 5912 | 0.0817          | 0.9875   | 0.9869 | 0.9858    | 0.9879 |
| 0.0177        | 5.0   | 7390 | 0.0994          | 0.9858   | 0.9850 | 0.9871    | 0.9829 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.19.2
- Tokenizers 0.20.1