Stance Classification - Horizontal-Labs/ArgumentMining GitHub Wiki
Stance Classification
Microsoft DeBERTa (Fine-Tuned)
Training Summary:
global_step
: 375epoch
: 3.0training_loss
: 0.93199loss_type
: 0.011921loss_stance
: 0.832819
Evaluation Metrics:
test_loss
: 0.8482test_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 | — |