---
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