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Misinformation-Covid-bert-base-multilingual-cased
Ghunghru/Misinformation-Covid-bert-base-multilingual-cased
Misinformation-Covid-bert-base-multilingual-cased is a text classification model from Ghunghru. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 12, 2024
- Updated
- Jan 19, 2024
- SHA
- c41ab0c5
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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. -->
Misinformation-Covid-bert-base-multilingual-cased
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2140
- F1: 0.4308
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: 4e-06
- train_batch_size: 8
- eval_batch_size: 8
- 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 | F1 |
|---|---|---|---|---|
| 0.6698 | 1.0 | 189 | 0.6312 | 0.0 |
| 0.6473 | 2.0 | 378 | 0.5830 | 0.3279 |
| 0.6511 | 3.0 | 567 | 0.7518 | 0.3462 |
| 0.7029 | 4.0 | 756 | 0.7088 | 0.4225 |
| 0.6913 | 5.0 | 945 | 0.9216 | 0.4242 |
| 0.617 | 6.0 | 1134 | 1.0679 | 0.4167 |
| 0.5906 | 7.0 | 1323 | 1.0944 | 0.4348 |
| 0.5097 | 8.0 | 1512 | 1.1551 | 0.4118 |
| 0.5056 | 9.0 | 1701 | 1.2152 | 0.4375 |
| 0.4903 | 10.0 | 1890 | 1.2140 | 0.4308 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 12, 2024
- Updated
- Jan 19, 2024