Stance Classification - Horizontal-Labs/ArgumentMining GitHub Wiki

Stance Classification


Microsoft DeBERTa (Fine-Tuned)

Training Summary:

  • global_step: 375
  • epoch: 3.0
  • training_loss: 0.93199
    • loss_type: 0.011921
    • loss_stance: 0.832819

Evaluation Metrics:

  • test_loss: 0.8482
  • test_runtime: 94.79 seconds

Classification Performance:

Metric Argument Type Stance
Accuracy 0.8848 0.5135
Precision 0.9005 0.5141
Recall 0.8848 0.5135
F1 Score 0.8837 0.5061
Test Runtime 94.79 s