| --- |
| library_name: transformers |
| base_model: Exqrch/IndoDiscourse-ToxicityClassifier |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: mentilinSafe_multiclass |
| 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. --> |
|
|
| # 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 |
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|
| ### Framework versions |
|
|
| - Transformers 5.12.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
|
|
