---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: hoaxpemilu
  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. -->

# hoaxpemilu

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3001
- Accuracy: 0.9607
- Precision: 0.9585
- Recall: 0.9569
- F1: 0.9577

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2232        | 1.0   | 2593  | 0.2833          | 0.9368   | 0.9724    | 0.8894 | 0.9290 |
| 0.1317        | 2.0   | 5186  | 0.2334          | 0.9580   | 0.9482    | 0.9623 | 0.9552 |
| 0.0515        | 3.0   | 7779  | 0.2747          | 0.9512   | 0.9663    | 0.9275 | 0.9465 |
| 0.0236        | 4.0   | 10372 | 0.3100          | 0.9587   | 0.9583    | 0.9528 | 0.9555 |
| 0.0089        | 5.0   | 12965 | 0.3001          | 0.9607   | 0.9585    | 0.9569 | 0.9577 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1