results_multiclass
This model is a fine-tuned version of 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
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Model tree for mSatashi/finetuned_IndoDiscourse_harm_multiclass
Base model
Exqrch/IndoDiscourse-ToxicityClassifier