Multilingual Language Model Evaluation on FineTasks French (test)
1.8333Average RankMLP MKC+
Evaluation Results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| MLP MKC+Model Type=Multilingual (M), Training Tokens Count=595B, Parameter Count=1B, Training Data=MLP MKC+2025.02 | 1.8333 | 36.67 | 52.7 | 27.4 | 76.6 | 32.12 | 28.41 | 4.56 | 29 | 29.7 | |
| MLP MKC+Model Type=Monolingual, Training Tokens Count=119B, Parameter Count=1B, Training Data=MLP MKC+2025.02 | 2.0556 | 35.33 | 53.8 | 27.4 | 74 | 28.03 | 28.95 | 4.38 | 26.67 | 31.8 | |
| FineWeb-2Model Type=Monolingual, Training Tokens Count=119B, Parameter Count=1B, Training Data=FineWeb-22025.02 | 3 | 34.44 | 51.8 | 28.7 | 71.8 | 24.01 | 27.06 | 7.12 | 26.33 | 28.5 | |
| FineWeb-2Model Type=Multilingual (M), Training Tokens Count=595B, Parameter Count=1B, Training Data=FineWeb-22025.02 | 3.1111 | 35.11 | 49.7 | 27.5 | 73.3 | 24.59 | 27.35 | 5.79 | 25.67 | 26.7 |