Downloads · 30 days
74
10% of all-time downloads
bert-large-japanese-detect-ai
nasuka/bert-large-japanese-detect-ai
bert-large-japanese-detect-ai is a text classification model from nasuka. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
735
Public
Repo size
8.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Jan 12, 2023
- Updated
- Jan 12, 2023
- SHA
- 79ae4ac0
Try a prompt
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Jan 12, 2023
- Updated
- Jan 12, 2023