Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.08590201288461685
f1_macro: 0.9552925131881786
f1_micro: 0.9736164736164736
f1_weighted: 0.9730779143688454
precision_macro: 0.9600774753043094
precision_micro: 0.9736164736164736
precision_weighted: 0.9743888843393359
recall_macro: 0.9541124951907006
recall_micro: 0.9736164736164736
recall_weighted: 0.9736164736164736
accuracy: 0.9736164736164736
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Base model
uer/roberta-base-finetuned-chinanews-chinese