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xlm-roberta-base-FakeNews-Dravidian
mdosama39/xlm-roberta-base-FakeNews-Dravidian
xlm-roberta-base-FakeNews-Dravidian 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 21, 2023
- Updated
- Nov 21, 2023
- SHA
- 413d9fc6
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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
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: 0.3946
- Accuracy: 0.8294
- F1 score: 0.8290
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-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 score |
|---|---|---|---|---|---|
| 0.7232 | 1.0 | 204 | 0.6256 | 0.6933 | 0.6873 |
| 0.6287 | 2.0 | 408 | 0.5098 | 0.7644 | 0.7622 |
| 0.5506 | 3.0 | 612 | 0.4566 | 0.7902 | 0.7879 |
| 0.5029 | 4.0 | 816 | 0.4299 | 0.8086 | 0.8069 |
| 0.4766 | 5.0 | 1020 | 0.4153 | 0.8147 | 0.8138 |
| 0.4465 | 6.0 | 1224 | 0.4033 | 0.8233 | 0.8230 |
| 0.4333 | 7.0 | 1428 | 0.4053 | 0.8196 | 0.8186 |
| 0.4251 | 8.0 | 1632 | 0.4071 | 0.8209 | 0.8198 |
| 0.4203 | 9.0 | 1836 | 0.3987 | 0.8270 | 0.8264 |
| 0.4092 | 10.0 | 2040 | 0.3946 | 0.8294 | 0.8290 |
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 21, 2023
- Updated
- Nov 21, 2023