CLIP · ViT-L/14 · Foundation Model

Metrics & Analytics

Production-grade evaluation suite: ROC, PR, confusion, loss curves and live training telemetry.

Accuracy
94.1%
0.80% vs last epoch
Precision
0.927
0.50% vs last epoch
Recall
0.915
0.60% vs last epoch
F1 Score
0.921
0.50% vs last epoch
ROC-AUC
0.974
0.30% vs last epoch
Training vs validation
Accuracy & loss curves
Contrastive loss
InfoNCE over epochs
ROC curve
AUC = 0.974
Precision-Recall
AP = 0.918
Confusion matrix
5-class evaluation
actual ↓ / pred →catdogcarshipbird
cat
92
3
1
1
3
dog
4
90
2
1
3
car
1
2
94
2
1
ship
1
1
3
93
2
bird
3
2
1
2
92