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---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: classification-hate-speech-3
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-3
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: 2.5282
- F1 macro: 0.3639
- Weighted: 0.5795
- Balanced accuracy: 0.4853
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.2772 | 1.0 | 162 | 1.3236 | 0.3758 | 0.6336 | 0.4617 |
| 0.9542 | 2.0 | 324 | 1.3274 | 0.3523 | 0.5765 | 0.4628 |
| 0.2508 | 3.0 | 486 | 1.2635 | 0.4108 | 0.6672 | 0.4862 |
| 0.0771 | 4.0 | 648 | 1.8577 | 0.3926 | 0.6303 | 0.5001 |
| 0.0063 | 5.0 | 810 | 2.4522 | 0.3539 | 0.5700 | 0.4784 |
| 0.0053 | 6.0 | 972 | 2.3522 | 0.3682 | 0.6028 | 0.4759 |
| 0.004 | 7.0 | 1134 | 2.5282 | 0.3639 | 0.5795 | 0.4853 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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