Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8774878978729248
f1_macro: 0.4821141007851975
f1_micro: 0.6512894277201274
f1_weighted: 0.6518881690937677
precision_macro: 0.532509799082618
precision_micro: 0.6512894277201274
precision_weighted: 0.6735617156083581
recall_macro: 0.47733621743535776
recall_micro: 0.6512894277201274
recall_weighted: 0.6512894277201274
accuracy: 0.6512894277201274
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sismetanin/sbert-ru-sentiment-rusentiment