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