SlowGuess/abforge-isambard-transfer

ABForge Isambard transfer

Private transfer bundle for continuing combined SFT+RL training on Isambard.

Contents:

• code/Abforge_Training/: training code snapshot from Misha project checkout, excluding git/cache/runtime artifacts.
• data/abforge_combined_rl/: combined RL train/val parquet.
• checkpoints/abforge_combined_sft/qwen3_8b_sft_combined/global_step_400/: SFT400 init checkpoint.
• checkpoints/abforge_combined/qwen3_8b_grpo_combined_from_sft400/global_step_40/: RL resume checkpoint.
• checkpoints/abforge_combined/qwen3_8b_grpo_combined_from_sft400/latest_checkpointed_iteration.txt: resume pointer set to 40.

Not included:

• DeepSeek-V4-Flash HF cache. Download separately on target cluster.
• Secrets such as W&B or HF tokens.
• Misha/Bouchet conda environments; target cluster must build its own ARM/GH200 environment.

t1x2 update (task1 up-weighted RL) — added 2026-07-07

Combined task1 lags the single-task model (bench C-score ~54.5 peak @ SFT->RL step180 vs single-task 58.7). Root cause = a task1 RECALL/GT-alignment gap that RL instills, and combined RL dilutes it (half the gradient is task2). Fix under test: oversample task1 2x in the RL batch (task1:task2 = 1.9:1 on train; val stays 1:1 for unbiased eval).

New in this bundle:

• data/abforge_combined_rl_t1x2/: the up-weighted RL data (train task1=56894 / task2=29900; val 100/100 unchanged). This is abforge_combined_rl with task1 rows duplicated once.
• Refreshed code/.../abforge_combined_merge.py (adds --task1_repeat) and code/.../slurm/_inner_combined_rl.sh (honors COMBINED_RL_DIR to swap the RL dataset).

Run on Isambard (start from the SFT-400 init already in this bundle):

# point the combined-RL launcher at the t1x2 data + SFT-400 init
INIT_MODEL=<ISAMBARD>/checkpoints/abforge_combined_sft/qwen3_8b_sft_combined/global_step_400
COMBINED_RL_DIR=<ISAMBARD>/data/abforge_combined_rl_t1x2
EXPERIMENT_NAME=qwen3_8b_grpo_combined_from_sft_t1x2
TOTAL_STEPS=200  SAVE_FREQ=20  TEST_FREQ=20  MAX_CKPT_KEEP=4
# _inner_combined_rl.sh reads COMBINED_RL_DIR; the data is pre-built so it skips the merge.

Watch: val task1 recall should climb toward 0.54 (single-task level) vs the balanced run's ~0.47. Trade-off: may cost a little task2 (has ~0.02-0.03 headroom vs single-task 0.614). The same job is also queued on Misha as qwen3_8b_grpo_combined_from_sft_t1x2.