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xlm-roberta-base-FakeNews-Dravidian-NT-2e-5
mdosama39/xlm-roberta-base-FakeNews-Dravidian-NT-2e-5
xlm-roberta-base-FakeNews-Dravidian-NT-2e-5 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 23, 2023
- Updated
- Nov 23, 2023
- SHA
- 2d5f7626
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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-NT-2e-5
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: 0.7529
- Accuracy: 0.8761
- Weighted f1 score: 0.8761
- Macro f1 score: 0.8761
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 |
|---|---|---|---|---|---|---|
| 0.6096 | 1.0 | 204 | 0.4206 | 0.8282 | 0.8274 | 0.8274 |
| 0.3971 | 2.0 | 408 | 0.3450 | 0.8675 | 0.8675 | 0.8675 |
| 0.3116 | 3.0 | 612 | 0.3792 | 0.8699 | 0.8699 | 0.8699 |
| 0.2255 | 4.0 | 816 | 0.5625 | 0.8564 | 0.8552 | 0.8551 |
| 0.2004 | 5.0 | 1020 | 0.5394 | 0.8724 | 0.8718 | 0.8718 |
| 0.1619 | 6.0 | 1224 | 0.6047 | 0.8589 | 0.8586 | 0.8586 |
| 0.1329 | 7.0 | 1428 | 0.5633 | 0.8761 | 0.8760 | 0.8760 |
| 0.1042 | 8.0 | 1632 | 0.6601 | 0.8761 | 0.8759 | 0.8759 |
| 0.0839 | 9.0 | 1836 | 0.7230 | 0.8810 | 0.8810 | 0.8810 |
| 0.0661 | 10.0 | 2040 | 0.7529 | 0.8761 | 0.8761 | 0.8761 |
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 23, 2023
- Updated
- Nov 23, 2023