---
license: mit
base_model: indobenchmark/indobert-large-p2
tags:
- generated_from_trainer
model-index:
- name: pertama
  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. -->

# pertama

This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co./indobenchmark/indobert-large-p2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4507
- F1 macro: 0.4131
- Weighted: 0.5840
- Balanced accuracy: 0.5423

## 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: 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 | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.3416        | 1.0   | 154  | 1.5603          | 0.2942   | 0.3462   | 0.4357            |
| 0.941         | 2.0   | 308  | 1.3408          | 0.3530   | 0.5202   | 0.4807            |
| 0.6965        | 3.0   | 462  | 1.3731          | 0.3747   | 0.5629   | 0.5101            |
| 0.4375        | 4.0   | 616  | 1.3137          | 0.3904   | 0.5961   | 0.5002            |
| 0.2491        | 5.0   | 770  | 1.5577          | 0.3772   | 0.5930   | 0.4978            |
| 0.0793        | 6.0   | 924  | 2.1326          | 0.3923   | 0.5382   | 0.5401            |
| 0.0488        | 7.0   | 1078 | 2.2000          | 0.3861   | 0.5483   | 0.5243            |
| 0.0206        | 8.0   | 1232 | 2.1568          | 0.3914   | 0.5873   | 0.5096            |
| 0.0243        | 9.0   | 1386 | 2.2272          | 0.4118   | 0.5851   | 0.5457            |
| 0.0126        | 10.0  | 1540 | 2.3494          | 0.4029   | 0.5885   | 0.5346            |
| 0.0449        | 11.0  | 1694 | 2.2914          | 0.4115   | 0.6037   | 0.5387            |
| 0.0023        | 12.0  | 1848 | 2.5714          | 0.3962   | 0.5675   | 0.5334            |
| 0.0023        | 13.0  | 2002 | 2.4491          | 0.4155   | 0.5878   | 0.5400            |
| 0.0024        | 14.0  | 2156 | 2.4507          | 0.4131   | 0.5840   | 0.5423            |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1