---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-DE-2
  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-2

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0522
- F1 macro: 0.3925
- Weighted: 0.5885
- Balanced accuracy: 0.5201

## 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 | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.3119        | 1.0   | 152  | 1.0717          | 0.4111   | 0.6682   | 0.4701            |
| 0.717         | 2.0   | 304  | 1.2404          | 0.3989   | 0.6063   | 0.5128            |
| 0.4124        | 3.0   | 456  | 1.5531          | 0.4029   | 0.6116   | 0.5286            |
| 0.1543        | 4.0   | 608  | 2.4557          | 0.3507   | 0.5427   | 0.5053            |
| 0.0445        | 5.0   | 760  | 2.6602          | 0.3950   | 0.5707   | 0.5254            |
| 0.1482        | 6.0   | 912  | 2.8551          | 0.3990   | 0.5643   | 0.5533            |
| 0.0016        | 7.0   | 1064 | 2.6333          | 0.4016   | 0.6096   | 0.5128            |
| 0.0012        | 8.0   | 1216 | 2.7488          | 0.3970   | 0.6019   | 0.5206            |
| 0.0008        | 9.0   | 1368 | 2.8494          | 0.3989   | 0.6025   | 0.5203            |
| 0.0005        | 10.0  | 1520 | 3.0943          | 0.3886   | 0.5799   | 0.5228            |
| 0.0005        | 11.0  | 1672 | 3.0410          | 0.3896   | 0.5872   | 0.5132            |
| 0.0006        | 12.0  | 1824 | 3.0730          | 0.4022   | 0.5912   | 0.5379            |
| 0.0004        | 13.0  | 1976 | 3.0387          | 0.3928   | 0.5910   | 0.5206            |
| 0.0005        | 14.0  | 2128 | 3.0522          | 0.3925   | 0.5885   | 0.5201            |


### Framework versions

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