metadata

license: cc-by-sa-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: bert-large-japanese-detect-ai
    results: []

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: 0.0071
Accuracy: 0.9986
F1: 0.9986

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
0.0329	1.0	806	0.0071	0.9986	0.9986

Framework versions

Transformers 4.25.1
Pytorch 1.12.0+cu113
Datasets 2.8.0
Tokenizers 0.13.2