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Add evaluation results and output files to model card
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metadata
language: code
tags:
  - binary-classification
  - model
  - evaluation
metrics:
  - average_precision: 0.98
  - roc_auc: 0.96
  - best threshold according to F1: 0.4

Binary Classification Model

Evaluation Results

Average Precision: 0.98
ROC AUC: 0.96 **best threshold according to F1: 0.40

Visualizations

Precision-Recall Curve

Precision-Recall Curve

ROC Curve

ROC Curve

Output Files and Directories

  • 📂 checkpoint-171/
  • config.json
  • model.safetensors
  • preprocessor_config.json
  • training_args.bin