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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-large-japanese-detect-ai

This model is a fine-tuned version of [cl-tohoku/bert-large-japanese](https://huggingface.co/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