toxicity-classification-multi-class

This model is a fine-tuned version of line-corporation/line-distilbert-base-japanese on the Japanese toxicity dataset. It achieves the following results on the evaluation set:

• Loss: 0.2642
• Roc Auc: 0.8447

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: 8.133692392125703e-06
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.14.0