cab2418769d25889a612a2ac24f775a1c1d18dda
Model: laion/explore-tis-minp-40-8B Source: Original Platform
license, base_model, tags
| license | base_model | tags | |||||
|---|---|---|---|---|---|---|---|
| apache-2.0 | laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink |
|
explore-tis-minp-40-8B
RL (SkyRL, agentic terminal-bench / Harbor + Daytona) checkpoint from the explore-tis sampling-parameter ablation.
This is the min-p sampling arm (explore-tis-minp).
- Base model:
laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink(an 8B model) - Dataset:
DCAgent/exp_rpt_pymethods2test-large - Algorithm: RLOO-n, no KL loss,
loss_reduction=seq_mean_token_sum_norm_global, TIS on (tis_imp_ratio_cap=2.0) - Sampling: temperature=1.0, min_p=0.05, top_k=-1, top_p=1.0
- Selected checkpoint:
global_step_40(best trailing-5 EMA, α=1/3, ofreward/avg_raw_rewardover saved exports with step ≤ 78; EMA ≈ 0.4722). The 78-step cutoff was applied to exclude a step-79+ greedy/eval-pass reward artifact. - Max training steps: 80
Training Traces
Rollout traces for this run: penfever/explore-tis-minp
Training Logs
Parsed metrics, reward-vs-steps plots, and raw console logs are under training_logs/ in this repo.
Description
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