Cross Lingual Document Classification On 10
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
Model Name | Accuracy |
---|---|
multifit-efficient-multi-lingual-language | 76.02 |
massively-multilingual-sentence-embeddings | 69.43 |
a-corpus-for-multilingual-document | 69.38 |
a-corpus-for-multilingual-document | 60.73 |