Model Trained Using AutoTrain
- Problem type: Image Classification
Validation Metrics
loss: 0.6069164872169495
f1_macro: 0.47612925723870253
f1_micro: 0.7184986595174263
f1_weighted: 0.7080336230828008
precision_macro: 0.5134762379528083
precision_micro: 0.7184986595174263
precision_weighted: 0.7786303288525843
recall_macro: 0.4920582814179348
recall_micro: 0.7184986595174263
recall_weighted: 0.7184986595174263
accuracy: 0.7184986595174263
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Model tree for iamcloud/Ruster
Base model
google/vit-base-patch16-224