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metadata
license: cc-by-sa-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
base_model: cl-tohoku/bert-large-japanese
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: 0.0111
  • 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