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---
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
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