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xlm-roberta-base-FakeNews-Dravidian-NT
mdosama39/xlm-roberta-base-FakeNews-Dravidian-NT
xlm-roberta-base-FakeNews-Dravidian-NT 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 29, 2023
- SHA
- 3fcccd88
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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
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: 0.4065
- Accuracy: 0.8221
- Weighted f1 score: 0.8220
- Macro f1 score: 0.8220
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 | Weighted f1 score | Macro f1 score |
|---|---|---|---|---|---|---|
| 0.8524 | 1.0 | 204 | 0.6614 | 0.6282 | 0.6093 | 0.6096 |
| 0.6323 | 2.0 | 408 | 0.4988 | 0.7767 | 0.7734 | 0.7733 |
| 0.5365 | 3.0 | 612 | 0.4496 | 0.7939 | 0.7930 | 0.7930 |
| 0.493 | 4.0 | 816 | 0.4303 | 0.8074 | 0.8063 | 0.8062 |
| 0.4644 | 5.0 | 1020 | 0.4150 | 0.8098 | 0.8096 | 0.8096 |
| 0.4397 | 6.0 | 1224 | 0.4065 | 0.8221 | 0.8217 | 0.8217 |
| 0.4251 | 7.0 | 1428 | 0.4063 | 0.8209 | 0.8205 | 0.8205 |
| 0.4224 | 8.0 | 1632 | 0.4058 | 0.8245 | 0.8241 | 0.8240 |
| 0.415 | 9.0 | 1836 | 0.4063 | 0.8245 | 0.8242 | 0.8242 |
| 0.4039 | 10.0 | 2040 | 0.4065 | 0.8221 | 0.8220 | 0.8220 |
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 29, 2023