Multilingual-Transfer
Collection
Pretraining models to find what allows multilingual transfer • 35 items • Updated • 3
LLaMA-3 7B pretrained on English bilingual data (en1 + en2), 134k total steps. Uses a 2×vocabulary (65k paired tokenizer) with separate en1/en2 token spaces.
Final checkpoint: step 133,600
| Validation set | Cross-entropy loss (nats) | Perplexity |
|---|---|---|
| English 1 (en1) | 2.4598 | 11.70 |
| English 2 (en2) | 2.5351 | 12.62 |
Training and validation loss curves are in training_curves/:
train_en1_en2_134k.csv — step, train_lossval_en1_en2_134k.csv — step, lang, val_lossEEE-format evaluation results are stored under eval_results/eee/ in this repository.
Tasks: Global MMLU (EN), PIQA, ECLeKTic, Fictive Entity (2-rate mix).
Part of the The-CoLab multilingual-transfer collection.