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daedra
chrisvoncsefalvay/daedra
daedra is a text classification model from chrisvoncsefalvay. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Nov 8, 2025
- SHA
- 10a58e67
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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. -->
daedra
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the VAERS outcomes data set. The model and its functionality is described in this paper.
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.3.2
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 28, 2024
- Updated
- Nov 8, 2025