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The-CoLab/llama3-7b-en-translated-ar-134k-v2
llama3-7b-en-translated-ar-134k-v2 is a machine learning model from The-CoLab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
LLaMA-3 7B pretrained on English and translated Arabic data, 134k steps (injection fix v2).
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From the Hugging Face model README
LLaMA-3 7B pretrained on English and translated Arabic data, 134k steps (injection fix v2).
Final checkpoint: step 133,600
| Validation set | Cross-entropy loss (nats) | Perplexity |
|---|---|---|
| English (en) | 2.2695 | 9.67 |
AR (ar) | 2.2441 | 9.43 |
Note: Rerun with corrected injection config (Buckwalter transliteration fix + injection count fix).
EEE-format evaluation results are stored under eval_results/eee/ in this repository.
Tasks: Global MMLU (EN/AR), PIQA, ECLeKTic, Fictive Entity (2-rate mix).
Part of the The-CoLab multilingual-transfer collection.
Per-step training and validation loss curves are stored in training_curves/:
| File | Description |
|---|---|
train_loss.csv | Training loss every 10 steps (step,train_loss) |
val_loss.csv | Validation loss per language (step,lang,val_loss) |
injection_counts_*.json | Per-entity injection counts at step 133,600 |