meghanagottapu/perspective-toxic-bert

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perspective-toxic-bert

This model is a fine-tuned version of unitary/toxic-bert on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4656
• —Tox Mse: 0.0239
• —Tox Auc: 0.9631
• —Dir Accuracy: 0.8345
• —Dir F1 Macro: 0.5567
• —Dir F1 Weighted: 0.8714

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
• —trainbatchsize: 8
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.06
• —num_epochs: 1

Training results

Framework versions

• —Transformers 5.7.0
• —Pytorch 2.11.0+cu130
• —Datasets 4.8.5
• —Tokenizers 0.22.2