---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
base_model: ku-nlp/deberta-v2-base-japanese
model-index:
- name: deberta-v2-base-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. -->

# deberta-v2-base-japanese-detect-ai

This model is a fine-tuned version of [ku-nlp/deberta-v2-base-japanese](https://huggingface.co/ku-nlp/deberta-v2-base-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1032
- Accuracy: 0.9842
- F1: 0.9842

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.0409        | 1.0   | 403  | 0.1045          | 0.9823   | 0.9823 |
| 0.0101        | 2.0   | 806  | 0.0567          | 0.9893   | 0.9893 |
| 0.0008        | 3.0   | 1209 | 0.1032          | 0.9842   | 0.9842 |


### Framework versions

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