---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-no-sentiment
  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-no-sentiment

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: 2.3740
- F1 macro: 0.3939
- Weighted: 0.5877
- Balanced accuracy: 0.5258

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.3009        | 1.0   | 152  | 1.1020          | 0.4209   | 0.6771   | 0.5135            |
| 0.74          | 2.0   | 304  | 1.1085          | 0.4116   | 0.6529   | 0.5038            |
| 0.3503        | 3.0   | 456  | 1.3379          | 0.4006   | 0.6380   | 0.5077            |
| 0.1146        | 4.0   | 608  | 2.0382          | 0.3677   | 0.5626   | 0.5137            |
| 0.0184        | 5.0   | 760  | 2.0737          | 0.3714   | 0.5932   | 0.4934            |
| 0.1182        | 6.0   | 912  | 2.1255          | 0.3885   | 0.6123   | 0.5072            |
| 0.0179        | 7.0   | 1064 | 2.3740          | 0.3939   | 0.5877   | 0.5258            |


### Framework versions

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