gpt2-toxic-comment-classifier

This model is a fine-tuned version of gpt2-medium on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3832
• F1: 0.7204
• Roc Auc: 0.9582
• Accuracy: 0.8918

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use 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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.478	1.0	8976	0.4752	0.7568	0.9453	0.9063
0.4525	2.0	17952	0.3832	0.7204	0.9582	0.8918

Framework versions

• Transformers 4.55.4
• Pytorch 2.8.0+cu128
• Datasets 4.0.0
• Tokenizers 0.21.4