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---
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: 0.0071
- 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