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toxicity-classification-multi-class – AI Model by Alnusjaponica | AlphaNeural AI
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Alnusjaponica
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toxicity-classification-multi-class
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transformers
pytorch
distilbert
generated_from_trainer
line-corporation/line-distilbert-base-japanese
finetune
apache-2.0
endpoints_compatible
us
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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
