---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-is-prabowo-gibran2
  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. -->

# bert-is-prabowo-gibran2

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9691
- Accuracy: 0.725

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 20   | 0.6887          | 0.625    |
| No log        | 2.0   | 40   | 0.5566          | 0.75     |
| No log        | 3.0   | 60   | 0.7588          | 0.675    |
| No log        | 4.0   | 80   | 0.7550          | 0.7      |
| No log        | 5.0   | 100  | 0.8130          | 0.75     |
| No log        | 6.0   | 120  | 0.8262          | 0.75     |
| No log        | 7.0   | 140  | 0.8685          | 0.75     |
| No log        | 8.0   | 160  | 0.9691          | 0.725    |


### Framework versions

- Transformers 4.18.0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.12.1