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roberta-base-openai-detector-autextification
arincon/roberta-base-openai-detector-autextification
roberta-base-openai-detector-autextification is a text classification model from arincon. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023
- SHA
- ed22e226
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Base models
Datasets
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. -->
roberta-base-openai-detector-autextification
This model is a fine-tuned version of roberta-base-openai-detector on the au_tex_tification dataset. It achieves the following results on the evaluation set:
- Loss: 0.7155
- Accuracy: 0.6
- Roc Auc: 0.6354
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: 5e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Roc Auc |
|---|---|---|---|---|---|
| 1.0975 | 1.0 | 10 | 0.7345 | 0.65 | 0.5417 |
| 0.4022 | 2.0 | 20 | 0.6266 | 0.65 | 0.6667 |
| 0.1635 | 3.0 | 30 | 0.7155 | 0.6 | 0.6354 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023