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roberta-base-detect-cheapfake-2
hoanghoavienvo/roberta-base-detect-cheapfake-2
roberta-base-detect-cheapfake-2 is a text classification model from hoanghoavienvo. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024
- SHA
- 269d1adf
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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-detect-cheapfake-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1768
- Accuracy: 0.96
- F1: 0.9633
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-06
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 38 | 0.1352 | 0.955 | 0.9585 |
| No log | 2.0 | 76 | 0.1026 | 0.975 | 0.9765 |
| No log | 3.0 | 114 | 0.1645 | 0.96 | 0.9633 |
| No log | 4.0 | 152 | 0.1538 | 0.96 | 0.9633 |
| No log | 5.0 | 190 | 0.1768 | 0.96 | 0.9633 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024