This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the epi_classify4_gard dataset.
It achieves the following results on the evaluation set:
Loss: 0.0541
Precision: 0.875
Recall: 0.9032
F1: 0.8889
Accuracy: 0.986
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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
