---
library_name: transformers
base_model: Exqrch/IndoDiscourse-ToxicityClassifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mentilinSafe_multiclass
  results: []
---

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# results_multiclass

This model is a fine-tuned version of [Exqrch/IndoDiscourse-ToxicityClassifier](https://huggingface.co/Exqrch/IndoDiscourse-ToxicityClassifier) on the IndoSafety dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1924
- Accuracy: 0.9539

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results



### Framework versions

- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2