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deberta-v2-base-japanese-detect-ai
This model is a fine-tuned version of 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
