Alnusjaponica
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toxicity-classification-multi-class

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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

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