Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8187900185585022
f1_macro: 0.4688891046680926
f1_micro: 0.6755368334532005
f1_weighted: 0.6528249387359626
precision_macro: 0.5035109628201623
precision_micro: 0.6755368334532005
precision_weighted: 0.6460535502350792
recall_macro: 0.48754194632937153
recall_micro: 0.6755368334532005
recall_weighted: 0.6755368334532005
accuracy: 0.6755368334532005
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sismetanin/sbert-ru-sentiment-rusentiment