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Covid_Misinformation_Model
ChrisEsworthy/Covid_Misinformation_Model
Covid_Misinformation_Model is a text classification model from ChrisEsworthy. 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
- bert
- Access
- Public
- Created
- Apr 12, 2023
- Updated
- Nov 10, 2023
- SHA
- 6d2b4c22
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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. -->
Covid_Misinformation_Model
This model is a fine-tuned version of spencer-gable-cook/COVID-19_Misinformation_Detector on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1213
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: 5
Training results
Framework versions
- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 12, 2023
- Updated
- Nov 10, 2023