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---
license: mit
tags:
- generated_from_trainer
base_model: indobenchmark/indobert-large-p2
model-index:
- name: indonesia-election-topic-classification-undersampling-double-largee
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. -->
# indonesia-election-topic-classification-undersampling-double-largee
This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0803
- Balanced Accuracy: 0.5882
## 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: 14
### Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
| No log | 1.0 | 180 | 1.1464 | 0.4620 |
| No log | 2.0 | 360 | 1.0442 | 0.5413 |
| 1.0029 | 3.0 | 540 | 1.3242 | 0.5189 |
| 1.0029 | 4.0 | 720 | 1.5257 | 0.5678 |
| 1.0029 | 5.0 | 900 | 1.8255 | 0.5412 |
| 0.2989 | 6.0 | 1080 | 2.0509 | 0.5727 |
| 0.2989 | 7.0 | 1260 | 2.0685 | 0.5875 |
| 0.2989 | 8.0 | 1440 | 2.1902 | 0.5759 |
| 0.1005 | 9.0 | 1620 | 2.1111 | 0.5553 |
| 0.1005 | 10.0 | 1800 | 2.0803 | 0.5882 |
| 0.1005 | 11.0 | 1980 | 2.1430 | 0.5653 |
| 0.0526 | 12.0 | 2160 | 2.1122 | 0.5743 |
| 0.0526 | 13.0 | 2340 | 2.1340 | 0.5737 |
| 0.0342 | 14.0 | 2520 | 2.1476 | 0.5737 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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