Cross Lingual Document Classification On 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| a-corpus-for-multilingual-document | 72.5 |
| a-corpus-for-multilingual-document | 69.5 |
| bridging-the-domain-gap-in-cross-lingual | 96.8 |
| multifit-efficient-multi-lingual-language | 79.1 |
| a-corpus-for-multilingual-document | 66.65 |
| massively-multilingual-sentence-embeddings | 77.33 |