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

Downloads last month
25
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for SAVSNET/PetBERT-Tick-v2

Finetuned
SAVSNET/PetBERT
Finetuned
(1)
this model