---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-DE-14-twit
  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-14-twit

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: 3.0647
- F1 macro: 0.4076
- Weighted: 0.5816
- Balanced accuracy: 0.5560

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.2717        | 1.0   | 152  | 1.1413          | 0.3986   | 0.6607   | 0.4780            |
| 0.7363        | 2.0   | 304  | 1.2159          | 0.3829   | 0.6075   | 0.4706            |
| 0.2523        | 3.0   | 456  | 1.4802          | 0.3994   | 0.6380   | 0.4901            |
| 0.1209        | 4.0   | 608  | 1.9894          | 0.4200   | 0.6130   | 0.5900            |
| 0.0201        | 5.0   | 760  | 2.7075          | 0.3731   | 0.5537   | 0.5221            |
| 0.0052        | 6.0   | 912  | 2.4151          | 0.4301   | 0.6211   | 0.5905            |
| 0.0012        | 7.0   | 1064 | 3.2430          | 0.3791   | 0.5228   | 0.5470            |
| 0.0014        | 8.0   | 1216 | 2.7395          | 0.4054   | 0.6010   | 0.5485            |
| 0.001         | 9.0   | 1368 | 2.6392          | 0.4167   | 0.6052   | 0.5505            |
| 0.0005        | 10.0  | 1520 | 2.8755          | 0.4049   | 0.5893   | 0.5546            |
| 0.0005        | 11.0  | 1672 | 2.7610          | 0.4152   | 0.6027   | 0.5560            |
| 0.0009        | 12.0  | 1824 | 3.0945          | 0.4011   | 0.5710   | 0.5511            |
| 0.0003        | 13.0  | 1976 | 3.1262          | 0.4003   | 0.5687   | 0.5506            |
| 0.0004        | 14.0  | 2128 | 3.0647          | 0.4076   | 0.5816   | 0.5560            |


### Framework versions

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