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roberta-base-detect-cheapfake-3
hoanghoavienvo/roberta-base-detect-cheapfake-3
roberta-base-detect-cheapfake-3 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. 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
- Jan 27, 2024
- Updated
- Jan 27, 2024
- SHA
- b7c17ed7
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Base models
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-3
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1767
- Accuracy: 0.955
- F1: 0.9589
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 38 | 0.6686 | 0.53 | 0.2167 |
| No log | 2.0 | 76 | 0.3027 | 0.92 | 0.9259 |
| No log | 3.0 | 114 | 0.1610 | 0.935 | 0.9395 |
| No log | 4.0 | 152 | 0.1561 | 0.945 | 0.9502 |
| No log | 5.0 | 190 | 0.1430 | 0.955 | 0.9585 |
| No log | 6.0 | 228 | 0.1371 | 0.96 | 0.9626 |
| No log | 7.0 | 266 | 0.1459 | 0.955 | 0.9585 |
| No log | 8.0 | 304 | 0.1750 | 0.955 | 0.9589 |
| No log | 9.0 | 342 | 0.1687 | 0.955 | 0.9585 |
| No log | 10.0 | 380 | 0.1767 | 0.955 | 0.9589 |
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
- License
- mit
- Created
- Jan 27, 2024
- Updated
- Jan 27, 2024