---
license: mit
base_model: indobenchmark/indobert-large-p2
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-DE-7-lp2
  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. -->

# classification-hate-speech-DE-7-lp2

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: 3.6437
- F1 macro: 0.3699
- Weighted: 0.5424
- Balanced accuracy: 0.5126

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 0.0019        | 1.0   | 152  | 3.2735          | 0.3877   | 0.5591   | 0.5253            |
| 0.2688        | 2.0   | 304  | 3.5136          | 0.3514   | 0.5097   | 0.4996            |
| 0.0489        | 3.0   | 456  | 2.9516          | 0.3901   | 0.5839   | 0.5222            |
| 0.0002        | 4.0   | 608  | 3.6103          | 0.3636   | 0.5354   | 0.4996            |
| 0.0003        | 5.0   | 760  | 3.6417          | 0.3695   | 0.5374   | 0.5234            |
| 0.0001        | 6.0   | 912  | 3.6270          | 0.3699   | 0.5424   | 0.5126            |
| 0.0001        | 7.0   | 1064 | 3.6437          | 0.3699   | 0.5424   | 0.5126            |


### Framework versions

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