Machine Translation on WMT 2022 (test)
0.1572BLEUgemma3-1b
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| gemma3-1bstatus=baseline2026.04 | 0.1572 | 0.7698 | 0.7031 | 0.3861 | 77.65 | 41.93 | |
| amestris-1bstatus=ours, tuning=fine-tuned2026.04 | 0.15 | 0.781 | 0.7476 | 0.3969 | 76.21 | 43.82 |
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| gemma3-1bstatus=baseline2026.04 | 0.1572 | 0.7698 | 0.7031 | 0.3861 | 77.65 | 41.93 | |
| amestris-1bstatus=ours, tuning=fine-tuned2026.04 | 0.15 | 0.781 | 0.7476 | 0.3969 | 76.21 | 43.82 |