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roberta-base-ad-detector
0x7o/roberta-base-ad-detector
roberta-base-ad-detector is a text classification model from 0x7o. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of roberta-base on an addetector dataset. It achieves the following results on the evaluation set: - Loss: 0.0010 - Accuracy: 1.0 - F1: 1.0 - Precision: 1.0 - Recall: 1.0
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 8, 2023
- Updated
- Apr 8, 2023
- SHA
- 75c2154d
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Datasets
Model card
From the Hugging Face model README
roberta-base-ad-detector
This model is a fine-tuned version of roberta-base on an ad_detector dataset. It achieves the following results on the evaluation set:
- Loss: 0.0010
- Accuracy: 1.0
- F1: 1.0
- Precision: 1.0
- Recall: 1.0
Model description
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Apr 8, 2023
- Updated
- Apr 8, 2023