---
license: mit
base_model: indobenchmark/indobert-large-p1
tags:
- generated_from_trainer
model-index:
- name: stek1
  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. -->

# stek1

This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4620
- F1 macro: 0.3922
- Weighted: 0.6228
- Balanced accuracy: 0.4926

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.6323        | 1.0   | 162  | 1.4006          | 0.3891   | 0.6022   | 0.5337            |
| 0.6435        | 2.0   | 324  | 1.6296          | 0.3035   | 0.4982   | 0.4633            |
| 0.6794        | 3.0   | 486  | 1.5549          | 0.4513   | 0.6180   | 0.5184            |
| 0.0961        | 4.0   | 648  | 2.0822          | 0.3697   | 0.6076   | 0.4753            |
| 0.0246        | 5.0   | 810  | 2.2624          | 0.3830   | 0.6130   | 0.4865            |
| 0.0009        | 6.0   | 972  | 2.5032          | 0.3856   | 0.6057   | 0.4891            |
| 0.001         | 7.0   | 1134 | 2.4620          | 0.3922   | 0.6228   | 0.4926            |


### Framework versions

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