IndicBERT Base

Reported on 4 benchmarks across 3 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Sentiment AnalysisonIITP Movie Reviews Sentiment
Accuracy
59.03
best: 66.34 (xlmindic-base-uniscript)
Sentiment AnalysisonIITP Product Reviews Sentiment
Accuracy
71.32
best: 79.4 (CalBERT)
Cross-LingualonSoham News Article Classification
Accuracy
78.45
best: 93.89 (xlmindic-base-uniscript)
Cross-Lingual Document ClassificationonSoham News Article Classification
Accuracy
78.45
best: 93.89 (xlmindic-base-uniscript)