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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
|