toxicgen_roberta_full_data_alice

This model is a fine-tuned version of s-nlp/roberta_toxicity_classifier on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1193
• Accuracy: 0.9811

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3634	1.0	981	0.1917	0.9470
0.1361	2.0	1962	0.1390	0.9755
0.0499	3.0	2943	0.1193	0.9811

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cpu
• Datasets 3.5.0
• Tokenizers 0.21.1