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xlm-roberta-base-FakeNews-Dravidian-finalwithPP
mdosama39/xlm-roberta-base-FakeNews-Dravidian-finalwithPP
xlm-roberta-base-FakeNews-Dravidian-finalwithPP is a text classification model from mdosama39. 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
- xlm-roberta
- Access
- Public
- Created
- Nov 25, 2023
- Updated
- Nov 29, 2023
- SHA
- 27b332ef
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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. -->
xlm-roberta-base-FakeNews-Dravidian-finalwithPP
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0438
- Accuracy: 0.9902
- Weighted f1 score: 0.9902
- Macro f1 score: 0.9902
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: 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 | Weighted f1 score | Macro f1 score |
|---|---|---|---|---|---|---|
| 0.5735 | 1.0 | 255 | 0.3480 | 0.8515 | 0.8492 | 0.8492 |
| 0.3819 | 2.0 | 510 | 0.2267 | 0.9178 | 0.9178 | 0.9178 |
| 0.3011 | 3.0 | 765 | 0.1625 | 0.9509 | 0.9509 | 0.9509 |
| 0.2314 | 4.0 | 1020 | 0.1719 | 0.9460 | 0.9459 | 0.9458 |
| 0.1979 | 5.0 | 1275 | 0.0991 | 0.9718 | 0.9718 | 0.9718 |
| 0.1584 | 6.0 | 1530 | 0.0718 | 0.9816 | 0.9816 | 0.9816 |
| 0.1387 | 7.0 | 1785 | 0.0540 | 0.9877 | 0.9877 | 0.9877 |
| 0.117 | 8.0 | 2040 | 0.0575 | 0.9877 | 0.9877 | 0.9877 |
| 0.0941 | 9.0 | 2295 | 0.0448 | 0.9902 | 0.9902 | 0.9902 |
| 0.0827 | 10.0 | 2550 | 0.0438 | 0.9902 | 0.9902 | 0.9902 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 25, 2023
- Updated
- Nov 29, 2023