metadata
library_name: transformers
language:
- en
base_model:
- SAVSNET/PetBERT
Model Card for Model ID
PetBERT-Tick-v2 is a BERT-based binary classifier, fine-tuned to detect the presence ot ticks in veterinary electronic health records. It used PetBERT as it's base model, a model domain adapted from BERT-base using 5.1 millon veterinary electronic health records from dogs and cats.
Labels
tick_absent(0)tick_present(1)
Model Performance
| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.977 | 0.987 | 0.982 | 12001 |
| 1 | 0.957 | 0.927 | 0.942 | 3841 |
| accuracy | 0.972 | 15842 | ||
| macro avg | 0.967 | 0.957 | 0.962 | 15842 |
| weighted avg | 0.972 | 0.972 | 0.972 | 15842 |
Classification Threshold = 0.943