bert-large-japanese-detect-ai

This model is a fine-tuned version of cl-tohoku/bert-large-japanese on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0111
• Accuracy: 0.9972
• F1: 0.9972

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0247	1.0	1191	0.0111	0.9972	0.9972

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.0+cu113
• Datasets 2.8.0
• Tokenizers 0.13.2