router-expert-computer_science
LoRA expert for the computer_science target of the route-then-admit pool, trained on meirdick/router-experts-data data/experts/computer_science.jsonl.
- base:
Qwen/Qwen3-4B-Instruct-2507
- rank 16, alpha 32, dropout 0.05, modules q_proj, k_proj, v_proj, o_proj
- lr 0.0002, epochs 2, max_len 1024, token budget 8192 per batch
- one example per item per recipe (direct,cot_short), under the serving system prompt; 40% of the mc items re-lettered to 5 to 10 options
- loss on the assistant turn only; held-out 5% for the val loss
Table with columns: field, value| field | value |
|---|
| target | computer_science |
| items | 1500 |
| recipes | direct,cot_short |
| kinds | {'mc': 1500} |
| mc_padded | 542 |
| examples | 3000 |
| encoded | 3000 |
| dropped_too_long | 0 |
| train_rows | 2850 |
| val_rows | 150 |
| train_batches | 55 |
| train_tokens | 436373 |
| supervised_tokens | 68648 |
| steps | 110 |
| train_loss | 1.0584621136838739 |
| val_loss_before | 4.3211695482959485 |
| val_loss | 0.9644685333069056 |
| seconds | 201.03 |
| trainable_params | 11796480 |