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