初始化项目,由ModelHub XC社区提供模型

Model: SeongryongJung/Qwen3-8B-Chemistry-RLSD-TR
Source: Original Platform
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ModelHub XC
2026-07-21 17:57:12 +08:00
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wandb: Detected [openai] in use.
wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script.
wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/
Checkpoint tracker file does not exist: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/latest_checkpointed_iteration.txt
Training from scratch
Training Progress: 9%|▉ | 9/100 [07:02<1:06:50, 44.07s/it]
step:1 - global_seqlen/min:18655 - global_seqlen/max:26853 - global_seqlen/minmax_diff:8198 - global_seqlen/balanced_min:23692 - global_seqlen/balanced_max:23701 - global_seqlen/mean:23696.5 - actor/entropy:0.5224554538726807 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.14097940921783447 - training/rollout_probs_diff_mean:0.0045183561742305756 - training/rollout_probs_diff_std:0.009310152381658554 - training/rollout_actor_probs_pearson_corr:0.9994592070579529 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.7421875 - self_distillation/correct_sample_fraction:0.46484375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.7421875 - rollout_corr/rollout_is_mean:0.9999948143959045 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.428677908028476e-05 - rollout_corr/rollout_is_max:1.4933885335922241 - rollout_corr/rollout_is_min:0.4801149070262909 - rollout_corr/rollout_is_std:0.03428589925169945 - rollout_corr/rollout_is_eff_sample_size:0.9988258574271096 - rollout_corr/rollout_is_seq_mean:1.0000158548355103 - rollout_corr/rollout_is_seq_std:0.0017025339184328914 - rollout_corr/rollout_is_seq_max:1.0078747272491455 - rollout_corr/rollout_is_seq_min:0.9956079721450806 - rollout_corr/rollout_is_seq_max_deviation:0.007874727249145508 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7518747616559267) - rollout_corr/training_log_ppl:np.float64(0.5485204759170301) - rollout_corr/kl:np.float64(0.0006133353596755597) - rollout_corr/k3_kl:np.float64(0.0006291264688229603) - rollout_corr/rollout_ppl:np.float64(1.750815692357719) - rollout_corr/rollout_log_ppl:np.float64(0.5479071354493499) - rollout_corr/log_ppl_diff:np.float64(0.0006133404676802456) - rollout_corr/log_ppl_abs_diff:np.float64(0.0013540681102313101) - rollout_corr/log_ppl_diff_max:np.float64(0.005063414573669434) - rollout_corr/log_ppl_diff_min:np.float64(-0.006822109222412109) - rollout_corr/ppl_ratio:np.float64(1.0006149462424219) - rollout_corr/chi2_token:np.float64(0.0012849036138504744) - rollout_corr/chi2_seq:np.float64(0.5767202903516591) - actor/pg_loss:np.float64(0.0015394691145047545) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0) - actor/ppo_kl:np.float64(0.0) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.7421875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.7421875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.46484375) - self_distillation/token_reweight_w_mean:np.float64(29057.488782484084) - self_distillation/token_reweight_w_std:np.float64(551978.9261493584) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0031458756420761) - self_distillation/token_reweight_w_clip_frac:np.float64(0.14994207414565608) - self_distillation/empty_target_batch:np.float64(0.2578125) - actor/grad_norm:np.float64(0.34795472025871277) - perf/mfu/actor:np.float64(0.039808731599246736) - perf/max_memory_allocated_gb:np.float64(130.98325157165527) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(208.84796524047852) - actor/lr:np.float64(0.0) - training/global_step:1 - training/epoch:0 - critic/score/mean:0.46484375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.46484375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.004086250439286232 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.004086250439286232 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:482.515625 - response_length/max:1194.0 - response_length/min:161.0 - respo
step:2 - global_seqlen/min:18554 - global_seqlen/max:28889 - global_seqlen/minmax_diff:10335 - global_seqlen/balanced_min:23930 - global_seqlen/balanced_max:23950 - global_seqlen/mean:23945.25 - actor/entropy:0.5649150013923645 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.21355730295181274 - training/rollout_probs_diff_mean:0.004759751260280609 - training/rollout_probs_diff_std:0.009735357947647572 - training/rollout_actor_probs_pearson_corr:0.9994669556617737 - self_distillation/success_group_fraction:0.625 - self_distillation/success_sample_fraction:0.609375 - self_distillation/correct_sample_fraction:0.3671875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.609375 - rollout_corr/rollout_is_mean:0.999841034412384 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.8218586774310097e-05 - rollout_corr/rollout_is_max:1.8565502166748047 - rollout_corr/rollout_is_min:0.4281544089317322 - rollout_corr/rollout_is_std:0.03569299355149269 - rollout_corr/rollout_is_eff_sample_size:0.9987271556828731 - rollout_corr/rollout_is_seq_mean:0.9997751712799072 - rollout_corr/rollout_is_seq_std:0.002073427429422736 - rollout_corr/rollout_is_seq_max:1.0066989660263062 - rollout_corr/rollout_is_seq_min:0.993266224861145 - rollout_corr/rollout_is_seq_max_deviation:0.0067337751388549805 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.8422705363482237) - rollout_corr/training_log_ppl:np.float64(0.5950889247469604) - rollout_corr/kl:np.float64(0.000921569124747279) - rollout_corr/k3_kl:np.float64(0.0006883058893549787) - rollout_corr/rollout_ppl:np.float64(1.8405294218100607) - rollout_corr/rollout_log_ppl:np.float64(0.5941673531197011) - rollout_corr/log_ppl_diff:np.float64(0.0009215716272592545) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017208073986694217) - rollout_corr/log_ppl_diff_max:np.float64(0.007348239421844482) - rollout_corr/log_ppl_diff_min:np.float64(-0.005036115646362305) - rollout_corr/ppl_ratio:np.float64(1.0009240037761629) - rollout_corr/chi2_token:np.float64(0.0009099591989070177) - rollout_corr/chi2_seq:np.float64(0.3998524572234601) - actor/pg_loss:np.float64(0.005818751524202526) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0002621370244924037) - actor/ppo_kl:np.float64(9.864444990625998e-06) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.609375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.609375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.3671875) - self_distillation/token_reweight_w_mean:np.float64(25264.271957140416) - self_distillation/token_reweight_w_std:np.float64(438644.3446098004) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0013297640252858) - self_distillation/token_reweight_w_clip_frac:np.float64(0.13903450994985178) - self_distillation/empty_target_batch:np.float64(0.390625) - actor/grad_norm:np.float64(0.3431096374988556) - perf/mfu/actor:np.float64(0.0564479877562713) - perf/max_memory_allocated_gb:np.float64(130.98325157165527) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(204.3056116104126) - actor/lr:np.float64(1e-07) - training/global_step:2 - training/epoch:0 - critic/score/mean:0.3671875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.3671875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0009724170668050647 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0009724170668050647 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:428.8203125 - response_length/max:1497.0 - res
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test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 10}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we need to examine the structure of the product and match it with the structure of the reactant provided in the options.
The product has the following key features:
- A nitrogen-containing ring (likely a pyrrole or imidazole-like structure).
- A substituent "Cc2ccc(Cl)cc2C(F)(F)F", which is a benzene ring substituted with a chlorine atom and a trifluoromethyl group.
- The overall structure suggests that the reactant must have a similar core structure, with the necessary functional groups for the formation of the final product.
Let's analyze the options:
**Option A**:
"O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1"
This structure contains a nitrogen-containing ring with the correct substituent "Cc2ccc(Cl)cc2C(F)(F)F". It also has a carbonyl group and a nitrogen atom, which could be part of a condensation or coupling reaction. This matches the structure of the product closely.
**Option B**:
"O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1"
This option introduces a chlorine atom directly on the nitrogen, which is not present in the product. Also, the structure seems to have a different arrangement of substituents, making it unlikely to be the correct reactant.
**Option C**:
"O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1"
This structure has a hydroxyl group attached to the benzene ring, which is not present in the product. The presence of this hydroxyl group suggests a different synthetic pathway and thus is not the correct reactant.
**Option D**:
"O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F"
This option has a different arrangement of the substituents and introduces a double bond between the carbon atoms, which is not part of the product structure. It also lacks the necessary nitrogen-containing ring.
**Conclusion**:
Only **Option A** contains the correct substituent "Cc2ccc(Cl)cc2C(F)(F)F" and the necessary nitrogen-containing ring structure. It is the only option that matches the structure of the product directly.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_10
step:10 - global_seqlen/min:18995 - global_seqlen/max:25222 - global_seqlen/minmax_diff:6227 - global_seqlen/balanced_min:22810 - global_seqlen/balanced_max:22819 - global_seqlen/mean:22815.375 - actor/entropy:0.5086405277252197 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.48631101846694946 - training/rollout_probs_diff_mean:0.004814056679606438 - training/rollout_probs_diff_std:0.010112768970429897 - training/rollout_actor_probs_pearson_corr:0.9993922114372253 - self_distillation/success_group_fraction:0.6875 - self_distillation/success_sample_fraction:0.6796875 - self_distillation/correct_sample_fraction:0.37109375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.6796875 - rollout_corr/rollout_is_mean:1.0000672340393066 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.7611369912629016e-05 - rollout_corr/rollout_is_max:1.758644938468933 - rollout_corr/rollout_is_min:0.47177526354789734 - rollout_corr/rollout_is_std:0.0358346551656723 - rollout_corr/rollout_is_eff_sample_size:0.9987177621962007 - rollout_corr/rollout_is_seq_mean:1.0001494884490967 - rollout_corr/rollout_is_seq_std:0.001915071508847177 - rollout_corr/rollout_is_seq_max:1.0051805973052979 - rollout_corr/rollout_is_seq_min:0.9944745898246765 - rollout_corr/rollout_is_seq_max_deviation:0.005525410175323486 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7283513699658215) - rollout_corr/training_log_ppl:np.float64(0.5342370558064431) - rollout_corr/kl:np.float64(0.00048592705383754264) - rollout_corr/k3_kl:np.float64(0.0007897751748942028) - rollout_corr/rollout_ppl:np.float64(1.7275344631634653) - rollout_corr/rollout_log_ppl:np.float64(0.5337511280667968) - rollout_corr/log_ppl_diff:np.float64(0.00048592773964628577) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017402138910256326) - rollout_corr/log_ppl_diff_max:np.float64(0.008036613464355469) - rollout_corr/log_ppl_diff_min:np.float64(-0.007182866334915161) - rollout_corr/ppl_ratio:np.float64(1.0004885760135949) - rollout_corr/chi2_token:np.float64(0.002185102319344878) - rollout_corr/chi2_seq:np.float64(1.4425214361399412) - actor/pg_loss:np.float64(0.008299664361402392) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006863867054107686) - actor/ppo_kl:np.float64(-5.119195938618759e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.6796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.6796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.37109375) - self_distillation/token_reweight_w_mean:np.float64(42394.31746227876) - self_distillation/token_reweight_w_std:np.float64(702394.3469068523) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0012782558333129) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1625702439341694) - self_distillation/empty_target_batch:np.float64(0.3203125) - actor/grad_norm:np.float64(0.3786138668656349) - perf/mfu/actor:np.float64(0.054599702355521036) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(196.04931259155273) - actor/lr:np.float64(9e-07) - val-aux/sciknoweval/reward/mean@16:np.float64(0.4217261904761905) - val-aux/sciknoweval/reward/std@16:np.float64(0.28826355015906874) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.5430761904761905) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.26128001800402223) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.3013761904761905) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.2277461781455412) - val-aux/sciknoweval/reward/maj@2/mean:np
step:11 - global_seqlen/min:18238 - global_seqlen/max:25942 - global_seqlen/minmax_diff:7704 - global_seqlen/balanced_min:22325 - global_seqlen/balanced_max:22730 - global_seqlen/mean:22380.25 - actor/entropy:0.5434318780899048 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.38079291582107544 - training/rollout_probs_diff_mean:0.005151212681084871 - training/rollout_probs_diff_std:0.010387294925749302 - training/rollout_actor_probs_pearson_corr:0.9993837475776672 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.86328125 - self_distillation/correct_sample_fraction:0.48046875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.86328125 - rollout_corr/rollout_is_mean:1.0001193284988403 - rollout_corr/rollout_is_ratio_fraction_high:9.758572559803724e-06 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:4.194515228271484 - rollout_corr/rollout_is_min:0.5521866679191589 - rollout_corr/rollout_is_std:0.03714950755238533 - rollout_corr/rollout_is_eff_sample_size:0.9986220538290654 - rollout_corr/rollout_is_seq_mean:1.0001423358917236 - rollout_corr/rollout_is_seq_std:0.0020691656973212957 - rollout_corr/rollout_is_seq_max:1.0071853399276733 - rollout_corr/rollout_is_seq_min:0.993625283241272 - rollout_corr/rollout_is_seq_max_deviation:0.00718533992767334 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7692446084693074) - rollout_corr/training_log_ppl:np.float64(0.5590797059703618) - rollout_corr/kl:np.float64(0.0006710044406990079) - rollout_corr/k3_kl:np.float64(0.0007906234051233696) - rollout_corr/rollout_ppl:np.float64(1.7680208389647305) - rollout_corr/rollout_log_ppl:np.float64(0.5584087027818896) - rollout_corr/log_ppl_diff:np.float64(0.0006710031884722412) - rollout_corr/log_ppl_abs_diff:np.float64(0.001697185740340501) - rollout_corr/log_ppl_diff_max:np.float64(0.006523817777633667) - rollout_corr/log_ppl_diff_min:np.float64(-0.005903065204620361) - rollout_corr/ppl_ratio:np.float64(1.0006734766066074) - rollout_corr/chi2_token:np.float64(0.0018631014972925186) - rollout_corr/chi2_seq:np.float64(1.0500562572851777) - actor/pg_loss:np.float64(0.010553930653259158) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0004439412439296575) - actor/ppo_kl:np.float64(6.877072929745154e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.86328125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.86328125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.48046875) - self_distillation/token_reweight_w_mean:np.float64(85283.25226895092) - self_distillation/token_reweight_w_std:np.float64(1114820.7389926258) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0022825964260846) - self_distillation/token_reweight_w_clip_frac:np.float64(0.21137651632307097) - self_distillation/empty_target_batch:np.float64(0.13671875) - actor/grad_norm:np.float64(0.4761762246489525) - perf/mfu/actor:np.float64(0.05262875043012334) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.41241455078125) - actor/lr:np.float64(1e-06) - training/global_step:11 - training/epoch:0 - critic/score/mean:0.48046875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.48046875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.003749731695279479 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.003749731695279479 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:400.2890625 - response_length/max:1
step:12 - global_seqlen/min:19921 - global_seqlen/max:27357 - global_seqlen/minmax_diff:7436 - global_seqlen/balanced_min:23213 - global_seqlen/balanced_max:23297 - global_seqlen/mean:23233.875 - actor/entropy:0.5037309527397156 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.16815555095672607 - training/rollout_probs_diff_mean:0.004780740477144718 - training/rollout_probs_diff_std:0.009941385127604008 - training/rollout_actor_probs_pearson_corr:0.9994201064109802 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.85546875 - self_distillation/correct_sample_fraction:0.46484375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.85546875 - rollout_corr/rollout_is_mean:0.999710738658905 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.6984993635560386e-05 - rollout_corr/rollout_is_max:1.6297073364257812 - rollout_corr/rollout_is_min:0.3698853552341461 - rollout_corr/rollout_is_std:0.035432368516922 - rollout_corr/rollout_is_eff_sample_size:0.9987455864550007 - rollout_corr/rollout_is_seq_mean:0.9997212886810303 - rollout_corr/rollout_is_seq_std:0.0021238892804831266 - rollout_corr/rollout_is_seq_max:1.0065120458602905 - rollout_corr/rollout_is_seq_min:0.9934496879577637 - rollout_corr/rollout_is_seq_max_deviation:0.006550312042236328 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7103436021134257) - rollout_corr/training_log_ppl:np.float64(0.5244237306469586) - rollout_corr/kl:np.float64(0.0010640324547948055) - rollout_corr/k3_kl:np.float64(0.0007240620033144296) - rollout_corr/rollout_ppl:np.float64(1.7084603938274086) - rollout_corr/rollout_log_ppl:np.float64(0.5233596969628707) - rollout_corr/log_ppl_diff:np.float64(0.0010640336840879172) - rollout_corr/log_ppl_abs_diff:np.float64(0.001916373468702659) - rollout_corr/log_ppl_diff_max:np.float64(0.007551968097686768) - rollout_corr/log_ppl_diff_min:np.float64(-0.006095826625823975) - rollout_corr/ppl_ratio:np.float64(1.001067083561793) - rollout_corr/chi2_token:np.float64(0.0007682361174374819) - rollout_corr/chi2_seq:np.float64(0.6293782293796539) - actor/pg_loss:np.float64(0.007974700187332928) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00048827441059984267) - actor/ppo_kl:np.float64(0.00010889819034787251) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.85546875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.85546875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.46484375) - self_distillation/token_reweight_w_mean:np.float64(5987.44374671299) - self_distillation/token_reweight_w_std:np.float64(110518.26587392716) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0042279572226107) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17869807308306918) - self_distillation/empty_target_batch:np.float64(0.14453125) - actor/grad_norm:np.float64(0.39314158260822296) - perf/mfu/actor:np.float64(0.05490032892199064) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.42404556274414) - actor/lr:np.float64(1e-06) - training/global_step:12 - training/epoch:0 - critic/score/mean:0.46484375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.46484375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0070593878626823425 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0070593878626823425 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:459.96484375 - response_leng
step:13 - global_seqlen/min:18814 - global_seqlen/max:23875 - global_seqlen/minmax_diff:5061 - global_seqlen/balanced_min:21556 - global_seqlen/balanced_max:21562 - global_seqlen/mean:21560.5 - actor/entropy:0.540065348148346 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2304113507270813 - training/rollout_probs_diff_mean:0.005129465367645025 - training/rollout_probs_diff_std:0.010314878076314926 - training/rollout_actor_probs_pearson_corr:0.9993942975997925 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.796875 - self_distillation/correct_sample_fraction:0.375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.796875 - rollout_corr/rollout_is_mean:0.9999523758888245 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:9.84678445092868e-06 - rollout_corr/rollout_is_max:1.643043875694275 - rollout_corr/rollout_is_min:0.3293769061565399 - rollout_corr/rollout_is_std:0.03673160448670387 - rollout_corr/rollout_is_eff_sample_size:0.9986523694012616 - rollout_corr/rollout_is_seq_mean:0.9999930262565613 - rollout_corr/rollout_is_seq_std:0.0019651646725833416 - rollout_corr/rollout_is_seq_max:1.0069950819015503 - rollout_corr/rollout_is_seq_min:0.9950668215751648 - rollout_corr/rollout_is_seq_max_deviation:0.006995081901550293 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.75340425549075) - rollout_corr/training_log_ppl:np.float64(0.5529010602040216) - rollout_corr/kl:np.float64(0.0008567688251606143) - rollout_corr/k3_kl:np.float64(0.0008690143870353495) - rollout_corr/rollout_ppl:np.float64(1.7518776911310852) - rollout_corr/rollout_log_ppl:np.float64(0.5520442884298973) - rollout_corr/log_ppl_diff:np.float64(0.0008567717741243541) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018868366605602205) - rollout_corr/log_ppl_diff_max:np.float64(0.00990372896194458) - rollout_corr/log_ppl_diff_min:np.float64(-0.005962073802947998) - rollout_corr/ppl_ratio:np.float64(1.0008597834967077) - rollout_corr/chi2_token:np.float64(0.0017287565860897303) - rollout_corr/chi2_seq:np.float64(0.7434897748753428) - actor/pg_loss:np.float64(0.009388480219058692) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.001301017089645029) - actor/ppo_kl:np.float64(0.0001421315267471357) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.375) - self_distillation/token_reweight_w_mean:np.float64(1917.8817092673853) - self_distillation/token_reweight_w_std:np.float64(43886.33348266815) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0036602555774152) - self_distillation/token_reweight_w_clip_frac:np.float64(0.2082537584064994) - self_distillation/empty_target_batch:np.float64(0.203125) - actor/grad_norm:np.float64(0.43746187537908554) - perf/mfu/actor:np.float64(0.051655857866616195) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.21465253829956) - actor/lr:np.float64(1e-06) - training/global_step:13 - training/epoch:0 - critic/score/mean:0.375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.003404525574296713 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.003404525574296713 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:396.703125 - response_length/max:972.0 - response_length/min:141.0
step:14 - global_seqlen/min:17920 - global_seqlen/max:21796 - global_seqlen/minmax_diff:3876 - global_seqlen/balanced_min:20032 - global_seqlen/balanced_max:20152 - global_seqlen/mean:20054.25 - actor/entropy:0.5020557641983032 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.18802747130393982 - training/rollout_probs_diff_mean:0.005197192542254925 - training/rollout_probs_diff_std:0.01069364883005619 - training/rollout_actor_probs_pearson_corr:0.9992953538894653 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.76953125 - self_distillation/correct_sample_fraction:0.40625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.76953125 - rollout_corr/rollout_is_mean:1.000118374824524 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6423780918121338 - rollout_corr/rollout_is_min:0.6023645997047424 - rollout_corr/rollout_is_std:0.03736548125743866 - rollout_corr/rollout_is_eff_sample_size:0.9986062429080049 - rollout_corr/rollout_is_seq_mean:1.0001424551010132 - rollout_corr/rollout_is_seq_std:0.002069722395390272 - rollout_corr/rollout_is_seq_max:1.0075104236602783 - rollout_corr/rollout_is_seq_min:0.9939577579498291 - rollout_corr/rollout_is_seq_max_deviation:0.00751042366027832 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7107822382822633) - rollout_corr/training_log_ppl:np.float64(0.5240909514250234) - rollout_corr/kl:np.float64(0.0007750868314850834) - rollout_corr/k3_kl:np.float64(0.0011061159723340097) - rollout_corr/rollout_ppl:np.float64(1.7093983073718846) - rollout_corr/rollout_log_ppl:np.float64(0.5233158656046726) - rollout_corr/log_ppl_diff:np.float64(0.000775085820350796) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019063884974457324) - rollout_corr/log_ppl_diff_max:np.float64(0.009017229080200195) - rollout_corr/log_ppl_diff_min:np.float64(-0.007934510707855225) - rollout_corr/ppl_ratio:np.float64(1.0007783074397594) - rollout_corr/chi2_token:np.float64(0.0027928389608860016) - rollout_corr/chi2_seq:np.float64(0.6327834515832365) - actor/pg_loss:np.float64(0.009141277987509966) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0023054060643517005) - actor/ppo_kl:np.float64(0.00017033189165172047) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.76953125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.76953125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.40625) - self_distillation/token_reweight_w_mean:np.float64(51790.3643477282) - self_distillation/token_reweight_w_std:np.float64(710581.8369147222) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0032089522574097) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1833768331562169) - self_distillation/empty_target_batch:np.float64(0.23046875) - actor/grad_norm:np.float64(0.5500108152627945) - perf/mfu/actor:np.float64(0.04745480566246875) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.28086853027344) - actor/lr:np.float64(1e-06) - training/global_step:14 - training/epoch:0 - critic/score/mean:0.40625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.40625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:1.6309666534652933e-05 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:1.6309666534652933e-05 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:359.2578125 - response_length/max:1234.0 - response_length/min
step:15 - global_seqlen/min:17292 - global_seqlen/max:23462 - global_seqlen/minmax_diff:6170 - global_seqlen/balanced_min:20153 - global_seqlen/balanced_max:20223 - global_seqlen/mean:20173.0 - actor/entropy:0.4989277422428131 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.23447632789611816 - training/rollout_probs_diff_mean:0.005335042718797922 - training/rollout_probs_diff_std:0.011061806231737137 - training/rollout_actor_probs_pearson_corr:0.99927818775177 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.76953125 - self_distillation/correct_sample_fraction:0.46875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.76953125 - rollout_corr/rollout_is_mean:0.9997453093528748 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.5897420644760132 - rollout_corr/rollout_is_min:0.5000474452972412 - rollout_corr/rollout_is_std:0.03860742598772049 - rollout_corr/rollout_is_eff_sample_size:0.9985110313307147 - rollout_corr/rollout_is_seq_mean:0.9997358918190002 - rollout_corr/rollout_is_seq_std:0.0024659933988004923 - rollout_corr/rollout_is_seq_max:1.0084636211395264 - rollout_corr/rollout_is_seq_min:0.9930576682090759 - rollout_corr/rollout_is_seq_max_deviation:0.008463621139526367 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7213433790020645) - rollout_corr/training_log_ppl:np.float64(0.530678162467666) - rollout_corr/kl:np.float64(0.0010814671836847367) - rollout_corr/k3_kl:np.float64(0.000888961919315534) - rollout_corr/rollout_ppl:np.float64(1.7193831540644169) - rollout_corr/rollout_log_ppl:np.float64(0.5295966898556799) - rollout_corr/log_ppl_diff:np.float64(0.0010814726119861007) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019996468909084797) - rollout_corr/log_ppl_diff_max:np.float64(0.012681245803833008) - rollout_corr/log_ppl_diff_min:np.float64(-0.0078064799308776855) - rollout_corr/ppl_ratio:np.float64(1.0010852627456188) - rollout_corr/chi2_token:np.float64(0.0014137444086372852) - rollout_corr/chi2_seq:np.float64(0.5360429051797837) - actor/pg_loss:np.float64(0.007955617504194379) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006377134768627002) - actor/ppo_kl:np.float64(1.769121835337728e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.76953125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.76953125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.46875) - self_distillation/token_reweight_w_mean:np.float64(8754.255326425191) - self_distillation/token_reweight_w_std:np.float64(117017.50059508975) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.001879719318822) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1550164521613624) - self_distillation/empty_target_batch:np.float64(0.23046875) - actor/grad_norm:np.float64(0.4198375418782234) - perf/mfu/actor:np.float64(0.04879610399473919) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.12841796875) - actor/lr:np.float64(1e-06) - training/global_step:15 - training/epoch:0 - critic/score/mean:0.46875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.46875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.00847491342574358 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.00847491342574358 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:343.5 - response_length/max:1036.0 - response_length/min:108.0 - respo
step:16 - global_seqlen/min:17365 - global_seqlen/max:24430 - global_seqlen/minmax_diff:7065 - global_seqlen/balanced_min:20809 - global_seqlen/balanced_max:20815 - global_seqlen/mean:20814.0 - actor/entropy:0.4525703191757202 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.44003361463546753 - training/rollout_probs_diff_mean:0.0051152328960597515 - training/rollout_probs_diff_std:0.011277093552052975 - training/rollout_actor_probs_pearson_corr:0.9991934299468994 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.82421875 - self_distillation/correct_sample_fraction:0.47265625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.82421875 - rollout_corr/rollout_is_mean:1.000049352645874 - rollout_corr/rollout_is_ratio_fraction_high:1.0565463526290841e-05 - rollout_corr/rollout_is_ratio_fraction_low:6.339278479572386e-05 - rollout_corr/rollout_is_max:2.1190927028656006 - rollout_corr/rollout_is_min:0.16761082410812378 - rollout_corr/rollout_is_std:0.03827483579516411 - rollout_corr/rollout_is_eff_sample_size:0.9985372988785958 - rollout_corr/rollout_is_seq_mean:1.0000265836715698 - rollout_corr/rollout_is_seq_std:0.0022894139401614666 - rollout_corr/rollout_is_seq_max:1.0063250064849854 - rollout_corr/rollout_is_seq_min:0.992612361907959 - rollout_corr/rollout_is_seq_max_deviation:0.007387638092041016 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6002246476709843) - rollout_corr/training_log_ppl:np.float64(0.46000494839972816) - rollout_corr/kl:np.float64(0.0006955834787873982) - rollout_corr/k3_kl:np.float64(0.0009704830327450509) - rollout_corr/rollout_ppl:np.float64(1.5991095416247845) - rollout_corr/rollout_log_ppl:np.float64(0.45930936612421647) - rollout_corr/log_ppl_diff:np.float64(0.0006955822755116969) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021134040143806487) - rollout_corr/log_ppl_diff_max:np.float64(0.007766246795654297) - rollout_corr/log_ppl_diff_min:np.float64(-0.005490928888320923) - rollout_corr/ppl_ratio:np.float64(1.0006991014815867) - rollout_corr/chi2_token:np.float64(0.0025813004467636347) - rollout_corr/chi2_seq:np.float64(3.1832106430083513) - actor/pg_loss:np.float64(0.009350149193778634) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0011533425140441977) - actor/ppo_kl:np.float64(-8.012323441874969e-05) - actor/pg_clipfrac_lower:np.float64(1.187310044770129e-05) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.82421875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.82421875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.47265625) - self_distillation/token_reweight_w_mean:np.float64(35795.58769591758) - self_distillation/token_reweight_w_std:np.float64(482687.72877264104) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0030966859776527) - self_distillation/token_reweight_w_clip_frac:np.float64(0.18662144461995922) - self_distillation/empty_target_batch:np.float64(0.17578125) - actor/grad_norm:np.float64(0.49581966549158096) - perf/mfu/actor:np.float64(0.05050208271241423) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.1108741760254) - actor/lr:np.float64(1e-06) - training/global_step:16 - training/epoch:0 - critic/score/mean:0.47265625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.47265625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.01058791484683752 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.01058791484683752 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_leng
step:17 - global_seqlen/min:22601 - global_seqlen/max:25800 - global_seqlen/minmax_diff:3199 - global_seqlen/balanced_min:23884 - global_seqlen/balanced_max:24138 - global_seqlen/mean:23919.75 - actor/entropy:0.5084906220436096 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.23104846477508545 - training/rollout_probs_diff_mean:0.004854131024330854 - training/rollout_probs_diff_std:0.010198368690907955 - training/rollout_actor_probs_pearson_corr:0.9993425011634827 - self_distillation/success_group_fraction:0.6875 - self_distillation/success_sample_fraction:0.6796875 - self_distillation/correct_sample_fraction:0.41015625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.6796875 - rollout_corr/rollout_is_mean:1.0001150369644165 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.8287475288379937e-05 - rollout_corr/rollout_is_max:1.7099158763885498 - rollout_corr/rollout_is_min:0.4197293221950531 - rollout_corr/rollout_is_std:0.036216843873262405 - rollout_corr/rollout_is_eff_sample_size:0.9986904150765131 - rollout_corr/rollout_is_seq_mean:1.0001122951507568 - rollout_corr/rollout_is_seq_std:0.0019326574401929975 - rollout_corr/rollout_is_seq_max:1.0060887336730957 - rollout_corr/rollout_is_seq_min:0.9933558106422424 - rollout_corr/rollout_is_seq_max_deviation:0.006644189357757568 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7412785273045301) - rollout_corr/training_log_ppl:np.float64(0.5394562017754652) - rollout_corr/kl:np.float64(0.00046429189457519726) - rollout_corr/k3_kl:np.float64(0.0007774811874128318) - rollout_corr/rollout_ppl:np.float64(1.7404227014631033) - rollout_corr/rollout_log_ppl:np.float64(0.538991907320451) - rollout_corr/log_ppl_diff:np.float64(0.0004642944550141692) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017179182032123208) - rollout_corr/log_ppl_diff_max:np.float64(0.007203280925750732) - rollout_corr/log_ppl_diff_min:np.float64(-0.006280422210693359) - rollout_corr/ppl_ratio:np.float64(1.0004668079782277) - rollout_corr/chi2_token:np.float64(0.002199894981458783) - rollout_corr/chi2_seq:np.float64(2.1964850607328117) - actor/pg_loss:np.float64(0.006313061923719943) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00043986083028357825) - actor/ppo_kl:np.float64(-0.00013203885243839864) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.6796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.6796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.41015625) - self_distillation/token_reweight_w_mean:np.float64(1803.160887064878) - self_distillation/token_reweight_w_std:np.float64(34584.773948686314) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0014728792011738) - self_distillation/token_reweight_w_clip_frac:np.float64(0.12900599383283406) - self_distillation/empty_target_batch:np.float64(0.3203125) - actor/grad_norm:np.float64(0.38481806963682175) - perf/mfu/actor:np.float64(0.05734825677685727) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.12204360961914) - actor/lr:np.float64(1e-06) - training/global_step:17 - training/epoch:0 - critic/score/mean:0.41015625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.41015625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.005190751980990171 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.005190751980990171 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:414.2734375 - response_lengt
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step:19 - global_seqlen/min:16539 - global_seqlen/max:26420 - global_seqlen/minmax_diff:9881 - global_seqlen/balanced_min:21542 - global_seqlen/balanced_max:21548 - global_seqlen/mean:21545.625 - actor/entropy:0.48952940106391907 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.21504220366477966 - training/rollout_probs_diff_mean:0.0051950011402368546 - training/rollout_probs_diff_std:0.010906816460192204 - training/rollout_actor_probs_pearson_corr:0.9992679953575134 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.7421875 - self_distillation/correct_sample_fraction:0.5 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.7421875 - rollout_corr/rollout_is_mean:1.0002551078796387 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.993241310119629 - rollout_corr/rollout_is_min:0.508678138256073 - rollout_corr/rollout_is_std:0.03832463547587395 - rollout_corr/rollout_is_eff_sample_size:0.9985340896470543 - rollout_corr/rollout_is_seq_mean:1.000322699546814 - rollout_corr/rollout_is_seq_std:0.0022897543385624886 - rollout_corr/rollout_is_seq_max:1.007610559463501 - rollout_corr/rollout_is_seq_min:0.9937204718589783 - rollout_corr/rollout_is_seq_max_deviation:0.0076105594635009766 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6905396389774978) - rollout_corr/training_log_ppl:np.float64(0.5122466792818159) - rollout_corr/kl:np.float64(0.0005300049446929078) - rollout_corr/k3_kl:np.float64(0.0008489201253496503) - rollout_corr/rollout_ppl:np.float64(1.6896098447032273) - rollout_corr/rollout_log_ppl:np.float64(0.511716675653588) - rollout_corr/log_ppl_diff:np.float64(0.0005300036282278597) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018085126648657024) - rollout_corr/log_ppl_diff_max:np.float64(0.011858522891998291) - rollout_corr/log_ppl_diff_min:np.float64(-0.007662832736968994) - rollout_corr/ppl_ratio:np.float64(1.0005329437553883) - rollout_corr/chi2_token:np.float64(0.00233305711299181) - rollout_corr/chi2_seq:np.float64(0.9715974144637585) - actor/pg_loss:np.float64(0.006131203263066709) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0005582695239354507) - actor/ppo_kl:np.float64(7.291653415109067e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.7421875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.7421875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.5) - self_distillation/token_reweight_w_mean:np.float64(19979.935181184206) - self_distillation/token_reweight_w_std:np.float64(310836.0626574742) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0012645116075873) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1186036104336381) - self_distillation/empty_target_batch:np.float64(0.2578125) - actor/grad_norm:np.float64(0.3470497876405716) - perf/mfu/actor:np.float64(0.051614476906136436) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.35358047485352) - actor/lr:np.float64(1e-06) - training/global_step:19 - training/epoch:0 - critic/score/mean:0.5 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.5 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.004195125307887793 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.004195125307887793 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:371.17578125 - response_length/max:894.0 - response_length/min:152.0 - response_length
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 20}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product **"Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1"**, we must identify the structure of the product and match it with the most appropriate reactant that would lead to its formation through a plausible synthetic pathway.
The product has the following key structural features:
- A **nitrogen-containing ring** (likely a pyrrole or imidazole-like structure).
- A **chlorinated aromatic ring** (e.g., **Cl-phenyl**).
- A **trifluoromethyl group** (C(F)(F)F).
- A **nitrogen atom** bonded to a carbon chain that includes the **Cl-phenyl** and **trifluoromethyl** groups.
Now, lets examine the options:
**Option A**:
`O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1`
This structure contains a **nitrogen ring** with the same **Cl-phenyl** and **trifluoromethyl** substituents as the product. The **carbonyl groups** and **nitrogen ring** suggest a possible **amide** or **nitrile** structure that could be a **precursor** to the product. It is the **most structurally similar** to the product and would likely be the **correct reactant** in a synthesis involving ring formation or substitution.
**Option B**:
`O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1`
This structure contains **two chlorines** and a **nitrogen ring**, but it lacks the **trifluoromethyl group** and the **correct arrangement of substituents** as in the product. It is **not a good match**.
**Option C**:
`O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1`
This structure includes a **trifluoromethyl group** and **Cl-phenyl**, but the **nitrogen ring** is **not directly bonded to the Cl-phenyl** or **trifluoromethyl**, and the **structure is more complex**. It might be a **byproduct** or **intermediate**, but not the **direct reactant**.
**Option D**:
`O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F`
This structure contains a **trifluoromethyl group**, but it **lacks the nitrogen ring** and the **Cl-phenyl** substituents. It is **structurally different** from the product.
**Conclusion**:
Only **Option A** contains the **correct substituents** (Cl-phenyl, trifluoromethyl, and a nitrogen ring), and the **structure is most consistent** with the product. It is the **only plausible reactant** that would lead to the synthesis of the given product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_20
step:20 - global_seqlen/min:18853 - global_seqlen/max:23232 - global_seqlen/minmax_diff:4379 - global_seqlen/balanced_min:20703 - global_seqlen/balanced_max:20714 - global_seqlen/mean:20709.5 - actor/entropy:0.4852030277252197 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3635062277317047 - training/rollout_probs_diff_mean:0.0052037229761481285 - training/rollout_probs_diff_std:0.010991442948579788 - training/rollout_actor_probs_pearson_corr:0.9992546439170837 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.640625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83203125 - rollout_corr/rollout_is_mean:1.0001426935195923 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.1487816411536187e-05 - rollout_corr/rollout_is_max:1.6168099641799927 - rollout_corr/rollout_is_min:0.4058627188205719 - rollout_corr/rollout_is_std:0.03768158331513405 - rollout_corr/rollout_is_eff_sample_size:0.9985827057725277 - rollout_corr/rollout_is_seq_mean:1.0002155303955078 - rollout_corr/rollout_is_seq_std:0.002177149523049593 - rollout_corr/rollout_is_seq_max:1.0087448358535767 - rollout_corr/rollout_is_seq_min:0.9949045181274414 - rollout_corr/rollout_is_seq_max_deviation:0.00874483585357666 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.65907796099782) - rollout_corr/training_log_ppl:np.float64(0.49622454700875096) - rollout_corr/kl:np.float64(0.0007081711968908166) - rollout_corr/k3_kl:np.float64(0.000836590931498904) - rollout_corr/rollout_ppl:np.float64(1.6578862462192774) - rollout_corr/rollout_log_ppl:np.float64(0.49551637563854456) - rollout_corr/log_ppl_diff:np.float64(0.0007081713702064008) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018356915388721973) - rollout_corr/log_ppl_diff_max:np.float64(0.007012069225311279) - rollout_corr/log_ppl_diff_min:np.float64(-0.006520330905914307) - rollout_corr/ppl_ratio:np.float64(1.0007108724676073) - rollout_corr/chi2_token:np.float64(0.001943168230354786) - rollout_corr/chi2_seq:np.float64(0.7969548560213298) - actor/pg_loss:np.float64(0.006117190117947757) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006000254938953731) - actor/ppo_kl:np.float64(0.0001683622528645401) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.640625) - self_distillation/token_reweight_w_mean:np.float64(23049.971880125348) - self_distillation/token_reweight_w_std:np.float64(317665.6890155331) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9982667530421168) - self_distillation/token_reweight_w_clip_frac:np.float64(0.15381890590651892) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.3626445010304451) - perf/mfu/actor:np.float64(0.05021794625693002) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.33641052246094) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.5196428571428572) - val-aux/sciknoweval/reward/std@16:np.float64(0.2570318204515784) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.6278380952380953) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.21727863221866373) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.41209523809523807) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.2203367172556475) - val-aux/sciknoweval/reward/maj@2/mean:np.fl
step:21 - global_seqlen/min:17376 - global_seqlen/max:26208 - global_seqlen/minmax_diff:8832 - global_seqlen/balanced_min:22075 - global_seqlen/balanced_max:22088 - global_seqlen/mean:22085.25 - actor/entropy:0.4656538665294647 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.4102373421192169 - training/rollout_probs_diff_mean:0.004885641857981682 - training/rollout_probs_diff_std:0.010877853259444237 - training/rollout_actor_probs_pearson_corr:0.9992596507072449 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.84765625 - self_distillation/correct_sample_fraction:0.43359375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.84765625 - rollout_corr/rollout_is_mean:0.9998842477798462 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.879465500882361e-05 - rollout_corr/rollout_is_max:1.9200012683868408 - rollout_corr/rollout_is_min:0.25445759296417236 - rollout_corr/rollout_is_std:0.03666176274418831 - rollout_corr/rollout_is_eff_sample_size:0.9986574816202841 - rollout_corr/rollout_is_seq_mean:0.9998617172241211 - rollout_corr/rollout_is_seq_std:0.0022321075666695833 - rollout_corr/rollout_is_seq_max:1.0074141025543213 - rollout_corr/rollout_is_seq_min:0.9920339584350586 - rollout_corr/rollout_is_seq_max_deviation:0.007966041564941406 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6367876464501023) - rollout_corr/training_log_ppl:np.float64(0.47835954203037545) - rollout_corr/kl:np.float64(0.0009155909243130367) - rollout_corr/k3_kl:np.float64(0.0008391680780164279) - rollout_corr/rollout_ppl:np.float64(1.6352251395583153) - rollout_corr/rollout_log_ppl:np.float64(0.4774439476314001) - rollout_corr/log_ppl_diff:np.float64(0.0009155943989753723) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018019898561760783) - rollout_corr/log_ppl_diff_max:np.float64(0.008913397789001465) - rollout_corr/log_ppl_diff_min:np.float64(-0.006456807255744934) - rollout_corr/ppl_ratio:np.float64(1.0009184170048684) - rollout_corr/chi2_token:np.float64(0.001522636041045189) - rollout_corr/chi2_seq:np.float64(0.3302574837580323) - actor/pg_loss:np.float64(0.00977602880448103) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008731294096833153) - actor/ppo_kl:np.float64(2.3401729779659597e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.84765625) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.84765625) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.43359375) - self_distillation/token_reweight_w_mean:np.float64(19834.05608875933) - self_distillation/token_reweight_w_std:np.float64(292799.855937861) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0034907914232463) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1998413290712051) - self_distillation/empty_target_batch:np.float64(0.15234375) - actor/grad_norm:np.float64(0.506427951157093) - perf/mfu/actor:np.float64(0.05293222627939937) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(195.2050437927246) - actor/lr:np.float64(1e-06) - training/global_step:21 - training/epoch:0 - critic/score/mean:0.43359375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.43359375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.00826286617666483 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.00826286617666483 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:406.9765625 - response_length/max:11
step:22 - global_seqlen/min:15780 - global_seqlen/max:20714 - global_seqlen/minmax_diff:4934 - global_seqlen/balanced_min:18793 - global_seqlen/balanced_max:18799 - global_seqlen/mean:18797.25 - actor/entropy:0.4407426416873932 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.23966830968856812 - training/rollout_probs_diff_mean:0.0051012844778597355 - training/rollout_probs_diff_std:0.011158647015690804 - training/rollout_actor_probs_pearson_corr:0.9991984963417053 - self_distillation/success_group_fraction:0.6875 - self_distillation/success_sample_fraction:0.6796875 - self_distillation/correct_sample_fraction:0.4375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.6796875 - rollout_corr/rollout_is_mean:0.9999550580978394 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.586863398551941 - rollout_corr/rollout_is_min:0.6212320327758789 - rollout_corr/rollout_is_std:0.03741012141108513 - rollout_corr/rollout_is_eff_sample_size:0.9986023199750391 - rollout_corr/rollout_is_seq_mean:0.9999154806137085 - rollout_corr/rollout_is_seq_std:0.0023052047472447157 - rollout_corr/rollout_is_seq_max:1.0075262784957886 - rollout_corr/rollout_is_seq_min:0.9921414256095886 - rollout_corr/rollout_is_seq_max_deviation:0.007858574390411377 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6121524260379374) - rollout_corr/training_log_ppl:np.float64(0.46336599756614305) - rollout_corr/kl:np.float64(0.0012106716192334943) - rollout_corr/k3_kl:np.float64(0.001044533465915265) - rollout_corr/rollout_ppl:np.float64(1.6101201642304659) - rollout_corr/rollout_log_ppl:np.float64(0.4621553277829662) - rollout_corr/log_ppl_diff:np.float64(0.0012106697831768543) - rollout_corr/log_ppl_abs_diff:np.float64(0.0022202231630217284) - rollout_corr/log_ppl_diff_max:np.float64(0.011315524578094482) - rollout_corr/log_ppl_diff_min:np.float64(-0.007631242275238037) - rollout_corr/ppl_ratio:np.float64(1.0012149058748037) - rollout_corr/chi2_token:np.float64(0.001704103546217084) - rollout_corr/chi2_seq:np.float64(0.4757801443338394) - actor/pg_loss:np.float64(0.006979008438065648) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0011709280256582133) - actor/ppo_kl:np.float64(0.00036738665134805615) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.6796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.6796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4375) - self_distillation/token_reweight_w_mean:np.float64(53386.58389568445) - self_distillation/token_reweight_w_std:np.float64(762098.1771182105) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0011509482283145) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1306488252885174) - self_distillation/empty_target_batch:np.float64(0.3203125) - actor/grad_norm:np.float64(0.4595351442694664) - perf/mfu/actor:np.float64(0.0457439323763552) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(195.23744583129883) - actor/lr:np.float64(1e-06) - training/global_step:22 - training/epoch:0 - critic/score/mean:0.4375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.4375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0024807543959468603 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0024807543959468603 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:331.8515625 - response_length/max:891.0 - response_length/min:134.0
step:23 - global_seqlen/min:15655 - global_seqlen/max:22837 - global_seqlen/minmax_diff:7182 - global_seqlen/balanced_min:19794 - global_seqlen/balanced_max:19804 - global_seqlen/mean:19802.0 - actor/entropy:0.43892350792884827 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.22363799810409546 - training/rollout_probs_diff_mean:0.005129741504788399 - training/rollout_probs_diff_std:0.011249431408941746 - training/rollout_actor_probs_pearson_corr:0.9991777539253235 - self_distillation/success_group_fraction:0.9375 - self_distillation/success_sample_fraction:0.9296875 - self_distillation/correct_sample_fraction:0.69921875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.9296875 - rollout_corr/rollout_is_mean:0.9999939203262329 - rollout_corr/rollout_is_ratio_fraction_high:1.1452129911049269e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.1670188903808594 - rollout_corr/rollout_is_min:0.5688050389289856 - rollout_corr/rollout_is_std:0.03843645006418228 - rollout_corr/rollout_is_eff_sample_size:0.9985248186495871 - rollout_corr/rollout_is_seq_mean:0.9999755024909973 - rollout_corr/rollout_is_seq_std:0.0022403132170438766 - rollout_corr/rollout_is_seq_max:1.008310079574585 - rollout_corr/rollout_is_seq_min:0.9935483336448669 - rollout_corr/rollout_is_seq_max_deviation:0.008310079574584961 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.585592514835298) - rollout_corr/training_log_ppl:np.float64(0.45206161157693714) - rollout_corr/kl:np.float64(0.0010271025659691624) - rollout_corr/k3_kl:np.float64(0.0009754648472721783) - rollout_corr/rollout_ppl:np.float64(1.583907154854387) - rollout_corr/rollout_log_ppl:np.float64(0.45103450742317364) - rollout_corr/log_ppl_diff:np.float64(0.0010271041537635028) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021158340969122946) - rollout_corr/log_ppl_diff_max:np.float64(0.008697479963302612) - rollout_corr/log_ppl_diff_min:np.float64(-0.007354050874710083) - rollout_corr/ppl_ratio:np.float64(1.0010308369528502) - rollout_corr/chi2_token:np.float64(0.0018195987213402987) - rollout_corr/chi2_seq:np.float64(1.1621388338971883) - actor/pg_loss:np.float64(0.007446382311172783) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000959160078309651) - actor/ppo_kl:np.float64(0.00021888582077522756) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.9296875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.9296875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.69921875) - self_distillation/token_reweight_w_mean:np.float64(6609.447738413466) - self_distillation/token_reweight_w_std:np.float64(122546.46291852725) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9963779090903699) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17003195008146577) - self_distillation/empty_target_batch:np.float64(0.0703125) - actor/grad_norm:np.float64(0.43443264812231064) - perf/mfu/actor:np.float64(0.04804480134893495) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(195.1064910888672) - actor/lr:np.float64(1e-06) - training/global_step:23 - training/epoch:0 - critic/score/mean:0.69921875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.69921875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0033225491642951965 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0033225491642951965 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:341.09375 - response_length/max
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step:29 - global_seqlen/min:17728 - global_seqlen/max:24689 - global_seqlen/minmax_diff:6961 - global_seqlen/balanced_min:21875 - global_seqlen/balanced_max:21882 - global_seqlen/mean:21878.875 - actor/entropy:0.45051109790802 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.25539880990982056 - training/rollout_probs_diff_mean:0.004729867912828922 - training/rollout_probs_diff_std:0.010498874820768833 - training/rollout_actor_probs_pearson_corr:0.9993234872817993 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.734375 - self_distillation/correct_sample_fraction:0.48046875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.734375 - rollout_corr/rollout_is_mean:0.9999346733093262 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.9196990251657553e-05 - rollout_corr/rollout_is_max:1.6618187427520752 - rollout_corr/rollout_is_min:0.48319488763809204 - rollout_corr/rollout_is_std:0.03575139120221138 - rollout_corr/rollout_is_eff_sample_size:0.998723350704955 - rollout_corr/rollout_is_seq_mean:0.9999228119850159 - rollout_corr/rollout_is_seq_std:0.00180347659625113 - rollout_corr/rollout_is_seq_max:1.0053354501724243 - rollout_corr/rollout_is_seq_min:0.9929618835449219 - rollout_corr/rollout_is_seq_max_deviation:0.007038116455078125 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5977162146009505) - rollout_corr/training_log_ppl:np.float64(0.4593473710701801) - rollout_corr/kl:np.float64(0.0006978295002575408) - rollout_corr/k3_kl:np.float64(0.0007481996697720206) - rollout_corr/rollout_ppl:np.float64(1.5965832527726889) - rollout_corr/rollout_log_ppl:np.float64(0.45864954427815974) - rollout_corr/log_ppl_diff:np.float64(0.0006978267920203507) - rollout_corr/log_ppl_abs_diff:np.float64(0.001622283656615764) - rollout_corr/log_ppl_diff_max:np.float64(0.006626904010772705) - rollout_corr/log_ppl_diff_min:np.float64(-0.00486445426940918) - rollout_corr/ppl_ratio:np.float64(1.0007000237237662) - rollout_corr/chi2_token:np.float64(0.001576458802446723) - rollout_corr/chi2_seq:np.float64(0.6520844814367592) - actor/pg_loss:np.float64(0.0060147366020828485) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0005360728382584057) - actor/ppo_kl:np.float64(-6.641209190716424e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.734375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.734375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.48046875) - self_distillation/token_reweight_w_mean:np.float64(26070.862267469056) - self_distillation/token_reweight_w_std:np.float64(478879.7805042105) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0025979080237448) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1094071113911923) - self_distillation/empty_target_batch:np.float64(0.265625) - actor/grad_norm:np.float64(0.3129398711025715) - perf/mfu/actor:np.float64(0.052564897191348076) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.9274024963379) - actor/lr:np.float64(1e-06) - training/global_step:29 - training/epoch:0 - critic/score/mean:0.48046875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.48046875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.01068192534148693 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.01068192534148693 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:406.96484375 - response_length/max:856.0 - resp
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 30}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we need to analyze the structure of the product and identify the key functional groups and substituents that must be present in the reactant.
The product has the following key features:
- A nitrogen-containing ring (likely a pyrrole or similar heterocycle).
- A benzene ring with a chlorine substituent.
- A trifluoromethyl group (C(F)(F)F) attached to the benzene ring.
- A substituent group (likely a nitrogen-containing chain) that connects to the ring.
Now, let's examine each option:
**Option A:**
O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
This option contains the trifluoromethyl group (C(F)(F)F) and the chlorinated benzene ring. It also contains a nitrogen-containing chain and a ring structure similar to the product. This option closely matches the structure of the product and is a strong candidate.
**Option B:**
O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
This option has a chlorine substituent on the ring, but it lacks the trifluoromethyl group and the correct nitrogen-containing chain. It also has a different ring structure than the product. Therefore, it is not the correct reactant.
**Option C:**
O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
This option contains the trifluoromethyl group and the chlorinated benzene ring. However, the structure is more complex and includes an oxygen-containing side chain that is not present in the product. It introduces an unnecessary oxygen group, making it incompatible with the product structure.
**Option D:**
O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
This option contains the trifluoromethyl group and a benzene ring. However, it lacks the correct nitrogen-containing chain and the chlorinated benzene ring. The structure is not aligned with the product, so it is not the correct reactant.
**Conclusion:**
Only **Option A** contains all the necessary functional groups and substituents present in the product, making it the only correct reactant for the synthesis of the given product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_30
step:30 - global_seqlen/min:18031 - global_seqlen/max:24561 - global_seqlen/minmax_diff:6530 - global_seqlen/balanced_min:20880 - global_seqlen/balanced_max:20888 - global_seqlen/mean:20884.625 - actor/entropy:0.4658919870853424 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3171748220920563 - training/rollout_probs_diff_mean:0.005262547638267279 - training/rollout_probs_diff_std:0.01141402218490839 - training/rollout_actor_probs_pearson_corr:0.9991620779037476 - self_distillation/success_group_fraction:0.6875 - self_distillation/success_sample_fraction:0.66796875 - self_distillation/correct_sample_fraction:0.44921875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.66796875 - rollout_corr/rollout_is_mean:0.9999656677246094 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:3.412619844311848e-05 - rollout_corr/rollout_is_max:1.9128998517990112 - rollout_corr/rollout_is_min:0.2724512219429016 - rollout_corr/rollout_is_std:0.03873920068144798 - rollout_corr/rollout_is_eff_sample_size:0.9985014042044956 - rollout_corr/rollout_is_seq_mean:1.0000505447387695 - rollout_corr/rollout_is_seq_std:0.002504864940419793 - rollout_corr/rollout_is_seq_max:1.0067648887634277 - rollout_corr/rollout_is_seq_min:0.9914875626564026 - rollout_corr/rollout_is_seq_max_deviation:0.008512437343597412 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6606428353115916) - rollout_corr/training_log_ppl:np.float64(0.49546970275696367) - rollout_corr/kl:np.float64(0.0007864780202773147) - rollout_corr/k3_kl:np.float64(0.000911510776063551) - rollout_corr/rollout_ppl:np.float64(1.659348614513874) - rollout_corr/rollout_log_ppl:np.float64(0.4946832267160062) - rollout_corr/log_ppl_diff:np.float64(0.0007864760409574956) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019896051089745015) - rollout_corr/log_ppl_diff_max:np.float64(0.009873658418655396) - rollout_corr/log_ppl_diff_min:np.float64(-0.007493495941162109) - rollout_corr/ppl_ratio:np.float64(1.0007900123018771) - rollout_corr/chi2_token:np.float64(0.002100849524140358) - rollout_corr/chi2_seq:np.float64(0.6980828407686204) - actor/pg_loss:np.float64(0.0044937689090147614) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0004526598731899867) - actor/ppo_kl:np.float64(2.1002829232230624e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.66796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.66796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.44921875) - self_distillation/token_reweight_w_mean:np.float64(16658.25212058681) - self_distillation/token_reweight_w_std:np.float64(262596.2304097906) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.002752567641437) - self_distillation/token_reweight_w_clip_frac:np.float64(0.09863085992401466) - self_distillation/empty_target_batch:np.float64(0.33203125) - actor/grad_norm:np.float64(0.3747030645608902) - perf/mfu/actor:np.float64(0.050935440136856504) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(194.77979278564453) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.606845238095238) - val-aux/sciknoweval/reward/std@16:np.float64(0.2138942013523591) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.6934285714285715) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.16904326809342193) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.521195238095238) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.1926339687939083) - val-aux/sciknoweval/reward/maj@2/mean:np.f
step:31 - global_seqlen/min:19249 - global_seqlen/max:25029 - global_seqlen/minmax_diff:5780 - global_seqlen/balanced_min:21607 - global_seqlen/balanced_max:21619 - global_seqlen/mean:21615.375 - actor/entropy:0.4569137990474701 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.303112655878067 - training/rollout_probs_diff_mean:0.004967319313436747 - training/rollout_probs_diff_std:0.010901066474616528 - training/rollout_actor_probs_pearson_corr:0.9992502331733704 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.6015625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83203125 - rollout_corr/rollout_is_mean:1.000017762184143 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.816590428352356 - rollout_corr/rollout_is_min:0.5354147553443909 - rollout_corr/rollout_is_std:0.03712382912635803 - rollout_corr/rollout_is_eff_sample_size:0.9986238370470686 - rollout_corr/rollout_is_seq_mean:1.0000417232513428 - rollout_corr/rollout_is_seq_std:0.002106655156239867 - rollout_corr/rollout_is_seq_max:1.0081474781036377 - rollout_corr/rollout_is_seq_min:0.9948439002037048 - rollout_corr/rollout_is_seq_max_deviation:0.008147478103637695 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6235803924500942) - rollout_corr/training_log_ppl:np.float64(0.4749105938244611) - rollout_corr/kl:np.float64(0.0008353461136003659) - rollout_corr/k3_kl:np.float64(0.00080985213742224) - rollout_corr/rollout_ppl:np.float64(1.6222249972634017) - rollout_corr/rollout_log_ppl:np.float64(0.4740752446523402) - rollout_corr/log_ppl_diff:np.float64(0.0008353491721209139) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017292899719905108) - rollout_corr/log_ppl_diff_max:np.float64(0.006912916898727417) - rollout_corr/log_ppl_diff_min:np.float64(-0.0048788487911224365) - rollout_corr/ppl_ratio:np.float64(1.0008378000929952) - rollout_corr/chi2_token:np.float64(0.0016067922115325928) - rollout_corr/chi2_seq:np.float64(0.6984529327601194) - actor/pg_loss:np.float64(0.005961017799563706) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00028992991656195954) - actor/ppo_kl:np.float64(0.0001396356336407223) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.6015625) - self_distillation/token_reweight_w_mean:np.float64(9105.852561026346) - self_distillation/token_reweight_w_std:np.float64(160757.80174179428) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9988879463635385) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1225835490913596) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.33824220299720764) - perf/mfu/actor:np.float64(0.05203885094538403) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(196.26508331298828) - actor/lr:np.float64(1e-06) - training/global_step:31 - training/epoch:0 - critic/score/mean:0.6015625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.6015625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.001895678462460637 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.001895678462460637 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:395.63671875 - response_length/max:1088.0 - response_le
step:32 - global_seqlen/min:17172 - global_seqlen/max:25152 - global_seqlen/minmax_diff:7980 - global_seqlen/balanced_min:20878 - global_seqlen/balanced_max:20886 - global_seqlen/mean:20883.0 - actor/entropy:0.4830181300640106 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3013932406902313 - training/rollout_probs_diff_mean:0.00495893694460392 - training/rollout_probs_diff_std:0.010702594183385372 - training/rollout_actor_probs_pearson_corr:0.9992987513542175 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.8125 - self_distillation/correct_sample_fraction:0.55078125 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.8125 - rollout_corr/rollout_is_mean:1.0001959800720215 - rollout_corr/rollout_is_ratio_fraction_high:1.0022450624092016e-05 - rollout_corr/rollout_is_ratio_fraction_low:3.0067350962781347e-05 - rollout_corr/rollout_is_max:2.244924545288086 - rollout_corr/rollout_is_min:0.39147886633872986 - rollout_corr/rollout_is_std:0.037390995770692825 - rollout_corr/rollout_is_eff_sample_size:0.998604459752836 - rollout_corr/rollout_is_seq_mean:1.0002524852752686 - rollout_corr/rollout_is_seq_std:0.0021919296123087406 - rollout_corr/rollout_is_seq_max:1.0080853700637817 - rollout_corr/rollout_is_seq_min:0.9943554401397705 - rollout_corr/rollout_is_seq_max_deviation:0.008085370063781738 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6529409568756819) - rollout_corr/training_log_ppl:np.float64(0.4933903770870529) - rollout_corr/kl:np.float64(0.0006465979992356097) - rollout_corr/k3_kl:np.float64(0.0008415120931317688) - rollout_corr/rollout_ppl:np.float64(1.651906920131296) - rollout_corr/rollout_log_ppl:np.float64(0.49274377603433095) - rollout_corr/log_ppl_diff:np.float64(0.0006466010527219623) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017735535220708698) - rollout_corr/log_ppl_diff_max:np.float64(0.007363229990005493) - rollout_corr/log_ppl_diff_min:np.float64(-0.010225236415863037) - rollout_corr/ppl_ratio:np.float64(1.000649468274787) - rollout_corr/chi2_token:np.float64(0.0021671864669770002) - rollout_corr/chi2_seq:np.float64(1.2125774417072535) - actor/pg_loss:np.float64(0.007539922837167978) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0005248926790955011) - actor/ppo_kl:np.float64(0.00015378757747441796) - actor/pg_clipfrac_lower:np.float64(1.2849506674683653e-05) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.8125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.8125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.55078125) - self_distillation/token_reweight_w_mean:np.float64(28962.190404822817) - self_distillation/token_reweight_w_std:np.float64(594865.4367179495) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9994088341481984) - self_distillation/token_reweight_w_clip_frac:np.float64(0.15152001177193597) - self_distillation/empty_target_batch:np.float64(0.1875) - actor/grad_norm:np.float64(0.4039623737335205) - perf/mfu/actor:np.float64(0.050354520500870484) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(195.79799795150757) - actor/lr:np.float64(1e-06) - training/global_step:32 - training/epoch:0 - critic/score/mean:0.55078125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.55078125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.005901970434933901 - critic/advantages/max:0.75 - critic/advantages/min:-0.875 - critic/returns/mean:0.005901970434933901 - critic/returns/max:0.75 - critic/returns/min:-0.875 - response_length/mean:389.75 - respon
step:33 - global_seqlen/min:16273 - global_seqlen/max:24765 - global_seqlen/minmax_diff:8492 - global_seqlen/balanced_min:20358 - global_seqlen/balanced_max:20368 - global_seqlen/mean:20365.75 - actor/entropy:0.5308820605278015 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2607361674308777 - training/rollout_probs_diff_mean:0.005311037413775921 - training/rollout_probs_diff_std:0.010893904604017735 - training/rollout_actor_probs_pearson_corr:0.9993165731430054 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - self_distillation/correct_sample_fraction:0.60546875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.80078125 - rollout_corr/rollout_is_mean:1.0000280141830444 - rollout_corr/rollout_is_ratio_fraction_high:2.2798258214606903e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.1399129107303452e-05 - rollout_corr/rollout_is_max:2.4295754432678223 - rollout_corr/rollout_is_min:0.4068605899810791 - rollout_corr/rollout_is_std:0.038521647453308105 - rollout_corr/rollout_is_eff_sample_size:0.9985184003675729 - rollout_corr/rollout_is_seq_mean:1.0000193119049072 - rollout_corr/rollout_is_seq_std:0.0023478458169847727 - rollout_corr/rollout_is_seq_max:1.0072718858718872 - rollout_corr/rollout_is_seq_min:0.9926888346672058 - rollout_corr/rollout_is_seq_max_deviation:0.0073111653327941895 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7451868052594364) - rollout_corr/training_log_ppl:np.float64(0.5472010709927417) - rollout_corr/kl:np.float64(0.000750623744014689) - rollout_corr/k3_kl:np.float64(0.0009170059764755933) - rollout_corr/rollout_ppl:np.float64(1.7438560076989233) - rollout_corr/rollout_log_ppl:np.float64(0.5464504445553757) - rollout_corr/log_ppl_diff:np.float64(0.0007506264373660088) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020804237574338913) - rollout_corr/log_ppl_diff_max:np.float64(0.011185050010681152) - rollout_corr/log_ppl_diff_min:np.float64(-0.008495688438415527) - rollout_corr/ppl_ratio:np.float64(1.0007542204111814) - rollout_corr/chi2_token:np.float64(0.0021686023101210594) - rollout_corr/chi2_seq:np.float64(1.0599001871887594) - actor/pg_loss:np.float64(0.0046818595146760345) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000626342507530353) - actor/ppo_kl:np.float64(-7.711236621688045e-06) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.80078125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.80078125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.60546875) - self_distillation/token_reweight_w_mean:np.float64(406.9383929811884) - self_distillation/token_reweight_w_std:np.float64(6888.8986393570085) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0006252727471292) - self_distillation/token_reweight_w_clip_frac:np.float64(0.10766920002060942) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.35059650987386703) - perf/mfu/actor:np.float64(0.04906215016751242) - perf/max_memory_allocated_gb:np.float64(130.98335647583008) - perf/max_memory_reserved_gb:np.float64(140.86328125) - perf/cpu_memory_used_gb:np.float64(195.48283004760742) - actor/lr:np.float64(1e-06) - training/global_step:33 - training/epoch:0 - critic/score/mean:0.60546875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.60546875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0038529057055711746 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0038529057055711746 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:342.
step:34 - global_seqlen/min:19407 - global_seqlen/max:28954 - global_seqlen/minmax_diff:9547 - global_seqlen/balanced_min:20764 - global_seqlen/balanced_max:28104 - global_seqlen/mean:21689.625 - actor/entropy:0.4711659848690033 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.26104798913002014 - training/rollout_probs_diff_mean:0.004729302600026131 - training/rollout_probs_diff_std:0.010431492701172829 - training/rollout_actor_probs_pearson_corr:0.9993188977241516 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.85546875 - self_distillation/correct_sample_fraction:0.59765625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.85546875 - rollout_corr/rollout_is_mean:0.9998348355293274 - rollout_corr/rollout_is_ratio_fraction_high:1.0172008842346258e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.372540235519409 - rollout_corr/rollout_is_min:0.5585512518882751 - rollout_corr/rollout_is_std:0.03565623611211777 - rollout_corr/rollout_is_eff_sample_size:0.9987297716220098 - rollout_corr/rollout_is_seq_mean:0.9998084902763367 - rollout_corr/rollout_is_seq_std:0.0021642311476171017 - rollout_corr/rollout_is_seq_max:1.0065914392471313 - rollout_corr/rollout_is_seq_min:0.9937243461608887 - rollout_corr/rollout_is_seq_max_deviation:0.006591439247131348 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.732406364288181) - rollout_corr/training_log_ppl:np.float64(0.53354305683024) - rollout_corr/kl:np.float64(0.0010742717632254706) - rollout_corr/k3_kl:np.float64(0.0007844316083662761) - rollout_corr/rollout_ppl:np.float64(1.7304212134331465) - rollout_corr/rollout_log_ppl:np.float64(0.5324687818174425) - rollout_corr/log_ppl_diff:np.float64(0.0010742750127974432) - rollout_corr/log_ppl_abs_diff:np.float64(0.002004527148528723) - rollout_corr/log_ppl_diff_max:np.float64(0.010212719440460205) - rollout_corr/log_ppl_diff_min:np.float64(-0.0042626261711120605) - rollout_corr/ppl_ratio:np.float64(1.0010776109993458) - rollout_corr/chi2_token:np.float64(0.000989705789834261) - rollout_corr/chi2_seq:np.float64(0.5540260763373226) - actor/pg_loss:np.float64(0.005981583381071687) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0004929028409605962) - actor/ppo_kl:np.float64(0.00015171869483765477) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.85546875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.85546875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.59765625) - self_distillation/token_reweight_w_mean:np.float64(11402.142899290891) - self_distillation/token_reweight_w_std:np.float64(223975.93910462921) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0007735511753708) - self_distillation/token_reweight_w_clip_frac:np.float64(0.13933006773004308) - self_distillation/empty_target_batch:np.float64(0.14453125) - actor/grad_norm:np.float64(0.3575190082192421) - perf/mfu/actor:np.float64(0.04880687442998337) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(195.40957641601562) - actor/lr:np.float64(1e-06) - training/global_step:34 - training/epoch:0 - critic/score/mean:0.59765625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.59765625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.05439735949039459 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.05439735949039459 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:384.01953125 - response_length/m
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step:39 - global_seqlen/min:16098 - global_seqlen/max:24192 - global_seqlen/minmax_diff:8094 - global_seqlen/balanced_min:21469 - global_seqlen/balanced_max:21484 - global_seqlen/mean:21479.5 - actor/entropy:0.4425225853919983 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.17422929406166077 - training/rollout_probs_diff_mean:0.004969022236764431 - training/rollout_probs_diff_std:0.010954358614981174 - training/rollout_actor_probs_pearson_corr:0.9992186427116394 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - self_distillation/correct_sample_fraction:0.6015625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.80078125 - rollout_corr/rollout_is_mean:1.0003507137298584 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6815071105957031 - rollout_corr/rollout_is_min:0.5040706396102905 - rollout_corr/rollout_is_std:0.03746902570128441 - rollout_corr/rollout_is_eff_sample_size:0.9985991103255378 - rollout_corr/rollout_is_seq_mean:1.0004005432128906 - rollout_corr/rollout_is_seq_std:0.0023794230073690414 - rollout_corr/rollout_is_seq_max:1.012694001197815 - rollout_corr/rollout_is_seq_min:0.9931012392044067 - rollout_corr/rollout_is_seq_max_deviation:0.012694001197814941 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6068592290394008) - rollout_corr/training_log_ppl:np.float64(0.4637760063924361) - rollout_corr/kl:np.float64(0.0005125066249966892) - rollout_corr/k3_kl:np.float64(0.0008192024238837803) - rollout_corr/rollout_ppl:np.float64(1.6059974883683026) - rollout_corr/rollout_log_ppl:np.float64(0.46326349792070687) - rollout_corr/log_ppl_diff:np.float64(0.0005125084717292339) - rollout_corr/log_ppl_abs_diff:np.float64(0.001737583806971088) - rollout_corr/log_ppl_diff_max:np.float64(0.006271004676818848) - rollout_corr/log_ppl_diff_min:np.float64(-0.01115313172340393) - rollout_corr/ppl_ratio:np.float64(1.0005151890218258) - rollout_corr/chi2_token:np.float64(0.0022532844450324774) - rollout_corr/chi2_seq:np.float64(1.0010677098762244) - actor/pg_loss:np.float64(0.004201453877612948) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00037899658491369337) - actor/ppo_kl:np.float64(0.000158508868715046) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.80078125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.80078125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.6015625) - self_distillation/token_reweight_w_mean:np.float64(21191.4891625538) - self_distillation/token_reweight_w_std:np.float64(305819.6095345903) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0013274641241878) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08719093064428307) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.2567609027028084) - perf/mfu/actor:np.float64(0.05189741811293595) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(195.25640106201172) - actor/lr:np.float64(1e-06) - training/global_step:39 - training/epoch:0 - critic/score/mean:0.6015625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.6015625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.00024856385425664485 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.00024856385425664485 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:388.953125 - response_length/max:1077.0 - response_
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 40}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we must examine the structure of the product and compare it to the structures of the given options.
The product contains a nitrogen-containing ring with a substituent group that includes a chlorinated benzene ring and a trifluoromethyl group. Specifically, the product has a structure where a nitrogen atom is part of a ring that is connected to a carbon chain leading to a chlorinated benzene ring with a trifluoromethyl group.
Now, let's analyze the options:
- **Option A**: Contains a structure with a nitrogen ring and a chlorinated benzene ring, along with a trifluoromethyl group. It closely resembles the structure of the target product, especially in terms of the nitrogen-containing ring and the substituent groups.
- **Option B**: Contains a chlorine atom directly attached to the nitrogen ring, which is not present in the target product. This makes it an incorrect match.
- **Option C**: Features a hydroxyl group and a different substituent pattern, which does not match the target structure.
- **Option D**: Includes a double bond and a fluorinated carbon chain, but not the specific chlorinated benzene ring and nitrogen ring arrangement of the target product.
Only **Option A** contains the correct structural elements that match the target product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_40
step:40 - global_seqlen/min:18616 - global_seqlen/max:26413 - global_seqlen/minmax_diff:7797 - global_seqlen/balanced_min:22648 - global_seqlen/balanced_max:22652 - global_seqlen/mean:22651.25 - actor/entropy:0.46682530641555786 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.4102363586425781 - training/rollout_probs_diff_mean:0.005161741282790899 - training/rollout_probs_diff_std:0.011252960190176964 - training/rollout_actor_probs_pearson_corr:0.9991944432258606 - self_distillation/success_group_fraction:0.65625 - self_distillation/success_sample_fraction:0.6484375 - self_distillation/correct_sample_fraction:0.55859375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.6484375 - rollout_corr/rollout_is_mean:1.0001730918884277 - rollout_corr/rollout_is_ratio_fraction_high:9.88513511401834e-06 - rollout_corr/rollout_is_ratio_fraction_low:1.977027022803668e-05 - rollout_corr/rollout_is_max:2.2787070274353027 - rollout_corr/rollout_is_min:0.2646176815032959 - rollout_corr/rollout_is_std:0.03861745819449425 - rollout_corr/rollout_is_eff_sample_size:0.9985113878945102 - rollout_corr/rollout_is_seq_mean:1.0001778602600098 - rollout_corr/rollout_is_seq_std:0.0021594883874058723 - rollout_corr/rollout_is_seq_max:1.0066732168197632 - rollout_corr/rollout_is_seq_min:0.9935801029205322 - rollout_corr/rollout_is_seq_max_deviation:0.006673216819763184 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6297845151275396) - rollout_corr/training_log_ppl:np.float64(0.4774156858911738) - rollout_corr/kl:np.float64(0.0007412694044468537) - rollout_corr/k3_kl:np.float64(0.0009004596647628205) - rollout_corr/rollout_ppl:np.float64(1.628512756433338) - rollout_corr/rollout_log_ppl:np.float64(0.47667441627709195) - rollout_corr/log_ppl_diff:np.float64(0.0007412696140818298) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018867639009840786) - rollout_corr/log_ppl_diff_max:np.float64(0.00960838794708252) - rollout_corr/log_ppl_diff_min:np.float64(-0.005440711975097656) - rollout_corr/ppl_ratio:np.float64(1.0007440785411745) - rollout_corr/chi2_token:np.float64(0.0020869714207947254) - rollout_corr/chi2_seq:np.float64(0.9351563951931894) - actor/pg_loss:np.float64(0.003354526706971228) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000359561878212844) - actor/ppo_kl:np.float64(0.00013469158743095733) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.6484375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.6484375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.55859375) - self_distillation/token_reweight_w_mean:np.float64(9349.600620643701) - self_distillation/token_reweight_w_std:np.float64(148328.15592557297) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9980465415865183) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08430611382937059) - self_distillation/empty_target_batch:np.float64(0.3515625) - actor/grad_norm:np.float64(0.28926024958491325) - perf/mfu/actor:np.float64(0.054041057160877155) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(195.16180038452148) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.6455357142857143) - val-aux/sciknoweval/reward/std@16:np.float64(0.19709042049186706) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7234142857142857) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.15652759126874422) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.5656380952380953) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.17688873171951364) - val-aux/sciknoweval/r
step:41 - global_seqlen/min:18283 - global_seqlen/max:24700 - global_seqlen/minmax_diff:6417 - global_seqlen/balanced_min:21101 - global_seqlen/balanced_max:21109 - global_seqlen/mean:21105.5 - actor/entropy:0.42351460456848145 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.9826107025146484 - training/rollout_probs_diff_mean:0.005102348513901234 - training/rollout_probs_diff_std:0.01174638606607914 - training/rollout_actor_probs_pearson_corr:0.9991093873977661 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.8046875 - self_distillation/correct_sample_fraction:0.62890625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.8046875 - rollout_corr/rollout_is_mean:0.999843180179596 - rollout_corr/rollout_is_ratio_fraction_high:9.873228009382728e-06 - rollout_corr/rollout_is_ratio_fraction_low:9.873228009382728e-06 - rollout_corr/rollout_is_max:2.636786937713623 - rollout_corr/rollout_is_min:0.013885053806006908 - rollout_corr/rollout_is_std:0.03809376060962677 - rollout_corr/rollout_is_eff_sample_size:0.9985506114667393 - rollout_corr/rollout_is_seq_mean:0.9998304843902588 - rollout_corr/rollout_is_seq_std:0.001992590492591262 - rollout_corr/rollout_is_seq_max:1.0068778991699219 - rollout_corr/rollout_is_seq_min:0.9926929473876953 - rollout_corr/rollout_is_seq_max_deviation:0.0073070526123046875 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5631140493787825) - rollout_corr/training_log_ppl:np.float64(0.436920084990561) - rollout_corr/kl:np.float64(0.0011501897124975846) - rollout_corr/k3_kl:np.float64(0.0009579621572584074) - rollout_corr/rollout_ppl:np.float64(1.5612433003261685) - rollout_corr/rollout_log_ppl:np.float64(0.4357698948588222) - rollout_corr/log_ppl_diff:np.float64(0.001150190131738782) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019631539471447468) - rollout_corr/log_ppl_diff_max:np.float64(0.010622143745422363) - rollout_corr/log_ppl_diff_min:np.float64(-0.00589299201965332) - rollout_corr/ppl_ratio:np.float64(1.001153603894636) - rollout_corr/chi2_token:np.float64(0.0014891347382217646) - rollout_corr/chi2_seq:np.float64(0.3713759642560035) - actor/pg_loss:np.float64(0.007653480512090027) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008902258696252829) - actor/ppo_kl:np.float64(0.0001822680885723571) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.8046875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.8046875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.62890625) - self_distillation/token_reweight_w_mean:np.float64(1181.0103185500484) - self_distillation/token_reweight_w_std:np.float64(19672.96590518701) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9963315855711699) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1375392735353671) - self_distillation/empty_target_batch:np.float64(0.1953125) - actor/grad_norm:np.float64(0.34661057591438293) - perf/mfu/actor:np.float64(0.05125395817020568) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(196.22666931152344) - actor/lr:np.float64(1e-06) - training/global_step:41 - training/epoch:0 - critic/score/mean:0.62890625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.62890625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.004591051023453474 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.004591051023453474 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:395.640625 - response
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step:49 - global_seqlen/min:19946 - global_seqlen/max:22692 - global_seqlen/minmax_diff:2746 - global_seqlen/balanced_min:21730 - global_seqlen/balanced_max:21733 - global_seqlen/mean:21731.75 - actor/entropy:0.4979252517223358 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.43991324305534363 - training/rollout_probs_diff_mean:0.004984842147678137 - training/rollout_probs_diff_std:0.01066806074231863 - training/rollout_actor_probs_pearson_corr:0.9993179440498352 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.86328125 - self_distillation/correct_sample_fraction:0.640625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.86328125 - rollout_corr/rollout_is_mean:0.9998939037322998 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:9.758192391018383e-06 - rollout_corr/rollout_is_max:1.9085274934768677 - rollout_corr/rollout_is_min:0.12017349898815155 - rollout_corr/rollout_is_std:0.03726325184106827 - rollout_corr/rollout_is_eff_sample_size:0.9986130189557251 - rollout_corr/rollout_is_seq_mean:0.9998945593833923 - rollout_corr/rollout_is_seq_std:0.001821837155148387 - rollout_corr/rollout_is_seq_max:1.005088448524475 - rollout_corr/rollout_is_seq_min:0.9940054416656494 - rollout_corr/rollout_is_seq_max_deviation:0.005994558334350586 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6754766842350364) - rollout_corr/training_log_ppl:np.float64(0.5048167807399295) - rollout_corr/kl:np.float64(0.0009508746554258707) - rollout_corr/k3_kl:np.float64(0.0007735003869697721) - rollout_corr/rollout_ppl:np.float64(1.6738910162821412) - rollout_corr/rollout_log_ppl:np.float64(0.503865905397106) - rollout_corr/log_ppl_diff:np.float64(0.000950875342823565) - rollout_corr/log_ppl_abs_diff:np.float64(0.001617251429706812) - rollout_corr/log_ppl_diff_max:np.float64(0.008522868156433105) - rollout_corr/log_ppl_diff_min:np.float64(-0.00493285059928894) - rollout_corr/ppl_ratio:np.float64(1.0009531062096357) - rollout_corr/chi2_token:np.float64(0.0011934449430555105) - rollout_corr/chi2_seq:np.float64(0.1550909043289721) - actor/pg_loss:np.float64(0.005771090276539326) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0002795115901790268) - actor/ppo_kl:np.float64(0.00010383528175317291) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.86328125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.86328125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.640625) - self_distillation/token_reweight_w_mean:np.float64(4803.391529331682) - self_distillation/token_reweight_w_std:np.float64(100370.09618178767) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.001389476004988) - self_distillation/token_reweight_w_clip_frac:np.float64(0.10803735570516437) - self_distillation/empty_target_batch:np.float64(0.13671875) - actor/grad_norm:np.float64(0.3376929610967636) - perf/mfu/actor:np.float64(0.05224311765341433) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(195.75490951538086) - actor/lr:np.float64(1e-06) - training/global_step:49 - training/epoch:0 - critic/score/mean:0.640625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.640625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0023309881798923016 - critic/advantages/max:0.875 - critic/advantages/min:-0.75 - critic/returns/mean:0.0023309881798923016 - critic/returns/max:0.875 - critic/returns/min:-0.75 - response_length/mean:400.3046875 - response_length/max:826.0 - res
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 50}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we need to examine the structure of the product and compare it with the structures of the given options.
The product has a nitrogen-containing ring with a substituent group: "Cc2ccc(Cl)cc2C(F)(F)F". This suggests that the molecule contains a chlorinated aromatic ring attached to a trifluoromethyl group, which is connected to a nitrogen-containing ring.
Now, let's evaluate the options:
- **Option A**: Contains a structure with a nitrogen ring and a chlorinated aromatic ring connected to a trifluoromethyl group. The structure is very similar to the product, with the correct substituents and connectivity.
- **Option B**: Contains a chlorinated nitrogen ring but lacks the trifluoromethyl group and the correct aromatic ring structure.
- **Option C**: Contains a hydroxyl group and a different substituent, not matching the product.
- **Option D**: Contains a different ring structure and lacks the trifluoromethyl group and the correct aromatic ring.
Only **Option A** matches the structure and substituents of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1".
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_50
step:50 - global_seqlen/min:19045 - global_seqlen/max:30156 - global_seqlen/minmax_diff:11111 - global_seqlen/balanced_min:21698 - global_seqlen/balanced_max:21699 - global_seqlen/mean:21698.5 - actor/entropy:0.39573362469673157 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.24491804838180542 - training/rollout_probs_diff_mean:0.004589053802192211 - training/rollout_probs_diff_std:0.01072707585990429 - training/rollout_actor_probs_pearson_corr:0.9992213845252991 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.609375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83203125 - rollout_corr/rollout_is_mean:1.0000442266464233 - rollout_corr/rollout_is_ratio_fraction_high:9.806613888940774e-06 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.004254102706909 - rollout_corr/rollout_is_min:0.6065316796302795 - rollout_corr/rollout_is_std:0.03603039309382439 - rollout_corr/rollout_is_eff_sample_size:0.9987034939469002 - rollout_corr/rollout_is_seq_mean:1.000090479850769 - rollout_corr/rollout_is_seq_std:0.0021530245430767536 - rollout_corr/rollout_is_seq_max:1.0064139366149902 - rollout_corr/rollout_is_seq_min:0.991096556186676 - rollout_corr/rollout_is_seq_max_deviation:0.008903443813323975 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.524656287394464) - rollout_corr/training_log_ppl:np.float64(0.4108033778902609) - rollout_corr/kl:np.float64(0.0007370334822254243) - rollout_corr/k3_kl:np.float64(0.0008599899813646061) - rollout_corr/rollout_ppl:np.float64(1.5234609101898968) - rollout_corr/rollout_log_ppl:np.float64(0.41006634262157604) - rollout_corr/log_ppl_diff:np.float64(0.0007370352686848491) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018268449639435858) - rollout_corr/log_ppl_diff_max:np.float64(0.00987979769706726) - rollout_corr/log_ppl_diff_min:np.float64(-0.00624692440032959) - rollout_corr/ppl_ratio:np.float64(1.000740017509088) - rollout_corr/chi2_token:np.float64(0.0019624873530119658) - rollout_corr/chi2_seq:np.float64(0.6737326441798359) - actor/pg_loss:np.float64(0.00585430464707315) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007581320141980541) - actor/ppo_kl:np.float64(0.00011956099752552518) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.609375) - self_distillation/token_reweight_w_mean:np.float64(4577.494679181604) - self_distillation/token_reweight_w_std:np.float64(75540.59034832189) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9987221618648618) - self_distillation/token_reweight_w_clip_frac:np.float64(0.11705390218412504) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.3779703937470913) - perf/mfu/actor:np.float64(0.0522593230068327) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(195.6965789794922) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.66875) - val-aux/sciknoweval/reward/std@16:np.float64(0.17551919057486814) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7372904761904763) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.13660825245257055) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.6003428571428571) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.15818906699634022) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.6687047
step:51 - global_seqlen/min:19988 - global_seqlen/max:24236 - global_seqlen/minmax_diff:4248 - global_seqlen/balanced_min:21993 - global_seqlen/balanced_max:22000 - global_seqlen/mean:21997.625 - actor/entropy:0.47643905878067017 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.6292527914047241 - training/rollout_probs_diff_mean:0.004974652547389269 - training/rollout_probs_diff_std:0.010949385352432728 - training/rollout_actor_probs_pearson_corr:0.9992679953575134 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.5546875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83203125 - rollout_corr/rollout_is_mean:1.000044584274292 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.0419596947031096e-05 - rollout_corr/rollout_is_max:1.6338132619857788 - rollout_corr/rollout_is_min:0.19046327471733093 - rollout_corr/rollout_is_std:0.03751512989401817 - rollout_corr/rollout_is_eff_sample_size:0.998594711950472 - rollout_corr/rollout_is_seq_mean:0.9999472498893738 - rollout_corr/rollout_is_seq_std:0.002286979230120778 - rollout_corr/rollout_is_seq_max:1.0055614709854126 - rollout_corr/rollout_is_seq_min:0.9931483864784241 - rollout_corr/rollout_is_seq_max_deviation:0.006851613521575928 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6695182812400162) - rollout_corr/training_log_ppl:np.float64(0.49964700039708987) - rollout_corr/kl:np.float64(0.0010526214147859037) - rollout_corr/k3_kl:np.float64(0.0008514240415706809) - rollout_corr/rollout_ppl:np.float64(1.6677322825416923) - rollout_corr/rollout_log_ppl:np.float64(0.49859437631675974) - rollout_corr/log_ppl_diff:np.float64(0.0010526240803301334) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019851572578772902) - rollout_corr/log_ppl_diff_max:np.float64(0.008082211017608643) - rollout_corr/log_ppl_diff_min:np.float64(-0.008058786392211914) - rollout_corr/ppl_ratio:np.float64(1.0010559679940343) - rollout_corr/chi2_token:np.float64(0.0013342886231839657) - rollout_corr/chi2_seq:np.float64(1.1409833203069866) - actor/pg_loss:np.float64(0.005735161481425166) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006951400860089052) - actor/ppo_kl:np.float64(0.00024209431599508946) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.5546875) - self_distillation/token_reweight_w_mean:np.float64(7385.579081017524) - self_distillation/token_reweight_w_std:np.float64(136267.17127367936) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0020049593877047) - self_distillation/token_reweight_w_clip_frac:np.float64(0.11803711034008302) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.3889169320464134) - perf/mfu/actor:np.float64(0.053154140926217126) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(199.41073989868164) - actor/lr:np.float64(1e-06) - training/global_step:51 - training/epoch:0 - critic/score/mean:0.5546875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.5546875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0006512248073704541 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0006512248073704541 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:374.89453125 - response_len
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step:59 - global_seqlen/min:16516 - global_seqlen/max:23158 - global_seqlen/minmax_diff:6642 - global_seqlen/balanced_min:19285 - global_seqlen/balanced_max:19288 - global_seqlen/mean:19286.5 - actor/entropy:0.39392659068107605 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.23105931282043457 - training/rollout_probs_diff_mean:0.004885942675173283 - training/rollout_probs_diff_std:0.01138182170689106 - training/rollout_actor_probs_pearson_corr:0.9991214275360107 - self_distillation/success_group_fraction:0.65625 - self_distillation/success_sample_fraction:0.65234375 - self_distillation/correct_sample_fraction:0.5390625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.65234375 - rollout_corr/rollout_is_mean:0.9998358488082886 - rollout_corr/rollout_is_ratio_fraction_high:1.1690437531797215e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.1690437531797215e-05 - rollout_corr/rollout_is_max:3.892078161239624 - rollout_corr/rollout_is_min:0.4614630937576294 - rollout_corr/rollout_is_std:0.03779766708612442 - rollout_corr/rollout_is_eff_sample_size:0.9985728395255719 - rollout_corr/rollout_is_seq_mean:0.999951183795929 - rollout_corr/rollout_is_seq_std:0.002800993388518691 - rollout_corr/rollout_is_seq_max:1.0143204927444458 - rollout_corr/rollout_is_seq_min:0.9928278923034668 - rollout_corr/rollout_is_seq_max_deviation:0.0143204927444458 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5359033830463886) - rollout_corr/training_log_ppl:np.float64(0.4180586190195754) - rollout_corr/kl:np.float64(0.0011108192077600165) - rollout_corr/k3_kl:np.float64(0.0008730394356462057) - rollout_corr/rollout_ppl:np.float64(1.5341403023339808) - rollout_corr/rollout_log_ppl:np.float64(0.41694779935642146) - rollout_corr/log_ppl_diff:np.float64(0.0011108196631539613) - rollout_corr/log_ppl_abs_diff:np.float64(0.002291953394887969) - rollout_corr/log_ppl_diff_max:np.float64(0.008277744054794312) - rollout_corr/log_ppl_diff_min:np.float64(-0.007644861936569214) - rollout_corr/ppl_ratio:np.float64(1.0011151337530464) - rollout_corr/chi2_token:np.float64(0.0013092008884996176) - rollout_corr/chi2_seq:np.float64(0.4192327775526792) - actor/pg_loss:np.float64(0.0025457896990701556) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0003396774759494292) - actor/ppo_kl:np.float64(0.0002558892238049282) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.65234375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.65234375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.5390625) - self_distillation/token_reweight_w_mean:np.float64(9165.766619424336) - self_distillation/token_reweight_w_std:np.float64(181822.19756039116) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9998559767846018) - self_distillation/token_reweight_w_clip_frac:np.float64(0.057435350317973644) - self_distillation/empty_target_batch:np.float64(0.34765625) - actor/grad_norm:np.float64(0.21796750277280807) - perf/mfu/actor:np.float64(0.0472734036832577) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(198.940327167511) - actor/lr:np.float64(1e-06) - training/global_step:59 - training/epoch:0 - critic/score/mean:0.5390625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.5390625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0026581131387501955 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0026581131387501955 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:334.140625 - re
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 60}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we need to analyze the structure of the product and compare it with the structures of the given options.
The product contains a nitrogen-containing ring with a substituent group: a chlorine-substituted benzene ring connected to a trifluoromethyl group (C(F)(F)F). This suggests that the correct reactant must contain a similar structure, specifically a nitrogen-containing ring with the same substituents.
Option A: "O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" contains a nitrogen-containing ring with the exact substituents: a chlorine-substituted benzene ring and a trifluoromethyl group. This matches the structure of the product exactly.
Option B: Contains a nitrogen but not the correct substituents.
Option C: Contains a hydroxyl group and a different substituent, not matching the product.
Option D: Contains a different structure with a carbon chain and a fluorinated group, not matching the product.
Therefore, the only correct reactant is Option A.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_60
step:60 - global_seqlen/min:15969 - global_seqlen/max:20753 - global_seqlen/minmax_diff:4784 - global_seqlen/balanced_min:19004 - global_seqlen/balanced_max:19008 - global_seqlen/mean:19006.625 - actor/entropy:0.40371620655059814 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.8045270442962646 - training/rollout_probs_diff_mean:0.005058089271187782 - training/rollout_probs_diff_std:0.01212889701128006 - training/rollout_actor_probs_pearson_corr:0.9990420341491699 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.859375 - self_distillation/correct_sample_fraction:0.59375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.859375 - rollout_corr/rollout_is_mean:0.9997034668922424 - rollout_corr/rollout_is_ratio_fraction_high:1.1908589840459172e-05 - rollout_corr/rollout_is_ratio_fraction_low:4.763435936183669e-05 - rollout_corr/rollout_is_max:2.487139940261841 - rollout_corr/rollout_is_min:0.0640438050031662 - rollout_corr/rollout_is_std:0.03801152855157852 - rollout_corr/rollout_is_eff_sample_size:0.9985564358356739 - rollout_corr/rollout_is_seq_mean:0.9996296167373657 - rollout_corr/rollout_is_seq_std:0.0025690472684800625 - rollout_corr/rollout_is_seq_max:1.0076467990875244 - rollout_corr/rollout_is_seq_min:0.9901750683784485 - rollout_corr/rollout_is_seq_max_deviation:0.009824931621551514 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.534271144773811) - rollout_corr/training_log_ppl:np.float64(0.41600528117851354) - rollout_corr/kl:np.float64(0.001141798264093552) - rollout_corr/k3_kl:np.float64(0.000918725037195145) - rollout_corr/rollout_ppl:np.float64(1.5324818124063313) - rollout_corr/rollout_log_ppl:np.float64(0.4148634799348656) - rollout_corr/log_ppl_diff:np.float64(0.001141801243647933) - rollout_corr/log_ppl_abs_diff:np.float64(0.0023173787049017847) - rollout_corr/log_ppl_diff_max:np.float64(0.009830474853515625) - rollout_corr/log_ppl_diff_min:np.float64(-0.006625443696975708) - rollout_corr/ppl_ratio:np.float64(1.0011462338734418) - rollout_corr/chi2_token:np.float64(0.0013863001950085163) - rollout_corr/chi2_seq:np.float64(0.6778646670281887) - actor/pg_loss:np.float64(0.005434742895886302) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0011875206650984182) - actor/ppo_kl:np.float64(-4.705816970229648e-05) - actor/pg_clipfrac_lower:np.float64(2.3182492441264912e-05) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.859375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.859375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.59375) - self_distillation/token_reweight_w_mean:np.float64(18888.49168556533) - self_distillation/token_reweight_w_std:np.float64(311593.95773308317) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0030431225895882) - self_distillation/token_reweight_w_clip_frac:np.float64(0.10766072731348686) - self_distillation/empty_target_batch:np.float64(0.140625) - actor/grad_norm:np.float64(0.35879671573638916) - perf/mfu/actor:np.float64(0.045344773814958786) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(199.29048919677734) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.6875) - val-aux/sciknoweval/reward/std@16:np.float64(0.16029546205916068) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7511857142857143) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.13365319867771744) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.6229333333333333) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.13860952641542026) - val-aux/sciknoweval/reward/
step:61 - global_seqlen/min:15598 - global_seqlen/max:23498 - global_seqlen/minmax_diff:7900 - global_seqlen/balanced_min:19661 - global_seqlen/balanced_max:19666 - global_seqlen/mean:19664.0 - actor/entropy:0.375679075717926 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.4102344214916229 - training/rollout_probs_diff_mean:0.00489032082259655 - training/rollout_probs_diff_std:0.011647011153399944 - training/rollout_actor_probs_pearson_corr:0.9990482330322266 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83984375 - self_distillation/correct_sample_fraction:0.66015625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83984375 - rollout_corr/rollout_is_mean:1.00008225440979 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.1082543096563313e-05 - rollout_corr/rollout_is_max:1.639464259147644 - rollout_corr/rollout_is_min:0.3959808051586151 - rollout_corr/rollout_is_std:0.03841473534703255 - rollout_corr/rollout_is_eff_sample_size:0.9985268392369275 - rollout_corr/rollout_is_seq_mean:1.000138759613037 - rollout_corr/rollout_is_seq_std:0.002528289332985878 - rollout_corr/rollout_is_seq_max:1.007035493850708 - rollout_corr/rollout_is_seq_min:0.993572473526001 - rollout_corr/rollout_is_seq_max_deviation:0.007035493850708008 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.4903184147551656) - rollout_corr/training_log_ppl:np.float64(0.3903155774460174) - rollout_corr/kl:np.float64(0.0006912411112880434) - rollout_corr/k3_kl:np.float64(0.0009254292584728319) - rollout_corr/rollout_ppl:np.float64(1.4893131870776415) - rollout_corr/rollout_log_ppl:np.float64(0.38962433370761573) - rollout_corr/log_ppl_diff:np.float64(0.0006912437384016812) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020783296204172075) - rollout_corr/log_ppl_diff_max:np.float64(0.008693814277648926) - rollout_corr/log_ppl_diff_min:np.float64(-0.006119638681411743) - rollout_corr/ppl_ratio:np.float64(1.0006948560476303) - rollout_corr/chi2_token:np.float64(0.002362349070608616) - rollout_corr/chi2_seq:np.float64(0.9650198624003679) - actor/pg_loss:np.float64(0.005624711047858) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006064838689781027) - actor/ppo_kl:np.float64(1.730111737785478e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83984375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83984375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.66015625) - self_distillation/token_reweight_w_mean:np.float64(5193.730784527026) - self_distillation/token_reweight_w_std:np.float64(104429.90018021135) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9993646144866943) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08162092015845701) - self_distillation/empty_target_batch:np.float64(0.16015625) - actor/grad_norm:np.float64(0.354709729552269) - perf/mfu/actor:np.float64(0.04738440538771457) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(200.02718353271484) - actor/lr:np.float64(1e-06) - training/global_step:61 - training/epoch:1 - critic/score/mean:0.66015625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.66015625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.004777961410582066 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.004777961410582066 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:352.46875 - response_length/max:838.0 - r
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step:69 - global_seqlen/min:17581 - global_seqlen/max:21958 - global_seqlen/minmax_diff:4377 - global_seqlen/balanced_min:20257 - global_seqlen/balanced_max:20260 - global_seqlen/mean:20258.25 - actor/entropy:0.46467649936676025 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.24135446548461914 - training/rollout_probs_diff_mean:0.00523096090182662 - training/rollout_probs_diff_std:0.011185083538293839 - training/rollout_actor_probs_pearson_corr:0.999234676361084 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.8359375 - self_distillation/correct_sample_fraction:0.6796875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.8359375 - rollout_corr/rollout_is_mean:1.0000218152999878 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6324684619903564 - rollout_corr/rollout_is_min:0.5706769227981567 - rollout_corr/rollout_is_std:0.03825926035642624 - rollout_corr/rollout_is_eff_sample_size:0.998538606349212 - rollout_corr/rollout_is_seq_mean:1.0000791549682617 - rollout_corr/rollout_is_seq_std:0.002675000810995698 - rollout_corr/rollout_is_seq_max:1.0090395212173462 - rollout_corr/rollout_is_seq_min:0.989310622215271 - rollout_corr/rollout_is_seq_max_deviation:0.010689377784729004 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.646835464052856) - rollout_corr/training_log_ppl:np.float64(0.4856712990440428) - rollout_corr/kl:np.float64(0.0008948077715515979) - rollout_corr/k3_kl:np.float64(0.0010960273730233894) - rollout_corr/rollout_ppl:np.float64(1.6454020515084267) - rollout_corr/rollout_log_ppl:np.float64(0.48477648955304176) - rollout_corr/log_ppl_diff:np.float64(0.0008948094910010695) - rollout_corr/log_ppl_abs_diff:np.float64(0.0023694130359217525) - rollout_corr/log_ppl_diff_max:np.float64(0.012593626976013184) - rollout_corr/log_ppl_diff_min:np.float64(-0.010994911193847656) - rollout_corr/ppl_ratio:np.float64(1.0008999034762383) - rollout_corr/chi2_token:np.float64(0.0027323926333338022) - rollout_corr/chi2_seq:np.float64(1.6403908263891935) - actor/pg_loss:np.float64(0.004149097250774503) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006782121126889251) - actor/ppo_kl:np.float64(0.0001744897412141455) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.8359375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.8359375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.6796875) - self_distillation/token_reweight_w_mean:np.float64(112.03770920354873) - self_distillation/token_reweight_w_std:np.float64(1537.8677468675305) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9990846202708781) - self_distillation/token_reweight_w_clip_frac:np.float64(0.10416805295972154) - self_distillation/empty_target_batch:np.float64(0.1640625) - actor/grad_norm:np.float64(0.3852573037147522) - perf/mfu/actor:np.float64(0.04884632323523585) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(196.50916624069214) - actor/lr:np.float64(1e-06) - training/global_step:69 - training/epoch:1 - critic/score/mean:0.6796875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.6796875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.001025630161166191 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.001025630161166191 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:323.2578125 - response_length/max:740.0 - response_length/m
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 70}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we must analyze the structure and functional groups present in both the product and the options.
The product contains:
- A nitrogen-containing ring (likely a pyrrole or similar heterocycle).
- A chlorinated aromatic ring (Cl group).
- A trifluoromethyl group (C(F)(F)F).
- A nitrogen atom bonded to a carbon chain that includes the chlorinated aromatic ring.
Now, let's examine the options:
**Option A**: Contains a chlorinated aromatic ring, a trifluoromethyl group, and a nitrogen-containing ring with a nitrogen atom bonded to a carbon chain that includes the chlorinated aromatic ring. It closely matches the structure of the product and is a strong candidate.
**Option B**: Contains a chlorinated aromatic ring but lacks the trifluoromethyl group and the correct nitrogen-containing ring structure. It is not a match.
**Option C**: Contains a chlorinated aromatic ring and a trifluoromethyl group, but the nitrogen-containing ring is not correctly structured. It does not match the product.
**Option D**: Contains a trifluoromethyl group and a carbon chain with a chlorinated aromatic ring, but the nitrogen-containing ring is not correctly structured. It also does not match the product.
Thus, **Option A** is the only one that contains all the necessary functional groups and structural features required to synthesize the product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_70
step:70 - global_seqlen/min:14508 - global_seqlen/max:21779 - global_seqlen/minmax_diff:7271 - global_seqlen/balanced_min:19295 - global_seqlen/balanced_max:19376 - global_seqlen/mean:19309.25 - actor/entropy:0.48265349864959717 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2931375205516815 - training/rollout_probs_diff_mean:0.005450577940791845 - training/rollout_probs_diff_std:0.011540403589606285 - training/rollout_actor_probs_pearson_corr:0.9992024302482605 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.796875 - self_distillation/correct_sample_fraction:0.62890625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.796875 - rollout_corr/rollout_is_mean:1.0000245571136475 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6136518716812134 - rollout_corr/rollout_is_min:0.5989248752593994 - rollout_corr/rollout_is_std:0.03922086954116821 - rollout_corr/rollout_is_eff_sample_size:0.9984642048317262 - rollout_corr/rollout_is_seq_mean:1.0000163316726685 - rollout_corr/rollout_is_seq_std:0.002710202941671014 - rollout_corr/rollout_is_seq_max:1.0095508098602295 - rollout_corr/rollout_is_seq_min:0.9921322464942932 - rollout_corr/rollout_is_seq_max_deviation:0.009550809860229492 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6673680869862437) - rollout_corr/training_log_ppl:np.float64(0.4960062170866877) - rollout_corr/kl:np.float64(0.0012155248211556113) - rollout_corr/k3_kl:np.float64(0.0012827583032049006) - rollout_corr/rollout_ppl:np.float64(1.6654691863805056) - rollout_corr/rollout_log_ppl:np.float64(0.4947906881570816) - rollout_corr/log_ppl_diff:np.float64(0.00121552892960608) - rollout_corr/log_ppl_abs_diff:np.float64(0.0026022420497611165) - rollout_corr/log_ppl_diff_max:np.float64(0.016035795211791992) - rollout_corr/log_ppl_diff_min:np.float64(-0.00719606876373291) - rollout_corr/ppl_ratio:np.float64(1.0012216775212437) - rollout_corr/chi2_token:np.float64(0.002924366621300578) - rollout_corr/chi2_seq:np.float64(1.3708638157695532) - actor/pg_loss:np.float64(0.0026991143822669983) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006329814200398687) - actor/ppo_kl:np.float64(0.0004067609955740181) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.62890625) - self_distillation/token_reweight_w_mean:np.float64(1099.6124461798463) - self_distillation/token_reweight_w_std:np.float64(17668.276791150623) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0005380015354604) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08962540709762834) - self_distillation/empty_target_batch:np.float64(0.203125) - actor/grad_norm:np.float64(0.30823376774787903) - perf/mfu/actor:np.float64(0.04660907978159935) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(196.58329391479492) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.6967261904761904) - val-aux/sciknoweval/reward/std@16:np.float64(0.15836902316671747) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7580857142857141) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.12446919093953822) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.6347571428571429) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.1415950973799327) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.696961904761904
step:71 - global_seqlen/min:19243 - global_seqlen/max:22825 - global_seqlen/minmax_diff:3582 - global_seqlen/balanced_min:21239 - global_seqlen/balanced_max:21249 - global_seqlen/mean:21244.625 - actor/entropy:0.48243123292922974 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.1782420575618744 - training/rollout_probs_diff_mean:0.004945038352161646 - training/rollout_probs_diff_std:0.010490105487406254 - training/rollout_actor_probs_pearson_corr:0.9993298649787903 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.73828125 - self_distillation/correct_sample_fraction:0.58984375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.73828125 - rollout_corr/rollout_is_mean:1.0001386404037476 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.646081805229187 - rollout_corr/rollout_is_min:0.6092609167098999 - rollout_corr/rollout_is_std:0.036472681909799576 - rollout_corr/rollout_is_eff_sample_size:0.998671986340567 - rollout_corr/rollout_is_seq_mean:1.00009286403656 - rollout_corr/rollout_is_seq_std:0.0023478141520172358 - rollout_corr/rollout_is_seq_max:1.0064475536346436 - rollout_corr/rollout_is_seq_min:0.9918783903121948 - rollout_corr/rollout_is_seq_max_deviation:0.008121609687805176 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6814591218717396) - rollout_corr/training_log_ppl:np.float64(0.5044128161389381) - rollout_corr/kl:np.float64(0.0009273746180333831) - rollout_corr/k3_kl:np.float64(0.0009558818163668548) - rollout_corr/rollout_ppl:np.float64(1.679951566271484) - rollout_corr/rollout_log_ppl:np.float64(0.5034854415280279) - rollout_corr/log_ppl_diff:np.float64(0.0009273746109101921) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021467784827109426) - rollout_corr/log_ppl_diff_max:np.float64(0.009796887636184692) - rollout_corr/log_ppl_diff_min:np.float64(-0.007009267807006836) - rollout_corr/ppl_ratio:np.float64(1.0009312871843576) - rollout_corr/chi2_token:np.float64(0.002058735117316246) - rollout_corr/chi2_seq:np.float64(0.9684193118009716) - actor/pg_loss:np.float64(0.002505662152543664) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00036506839978756034) - actor/ppo_kl:np.float64(0.0002983230811750559) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.73828125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.73828125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.58984375) - self_distillation/token_reweight_w_mean:np.float64(1927.8832940307911) - self_distillation/token_reweight_w_std:np.float64(37339.10144847393) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0009577083401382) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08062945469282568) - self_distillation/empty_target_batch:np.float64(0.26171875) - actor/grad_norm:np.float64(0.5023428723216057) - perf/mfu/actor:np.float64(0.051698067264255104) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(201.09897232055664) - actor/lr:np.float64(1e-06) - training/global_step:71 - training/epoch:1 - critic/score/mean:0.58984375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.58984375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0013479345943778753 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0013479345943778753 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:361.51953125 - response_length/max:967.0 - respons
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step:79 - global_seqlen/min:20379 - global_seqlen/max:23902 - global_seqlen/minmax_diff:3523 - global_seqlen/balanced_min:22483 - global_seqlen/balanced_max:22828 - global_seqlen/mean:22531.875 - actor/entropy:0.47975319623947144 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.999380886554718 - training/rollout_probs_diff_mean:0.004774122033268213 - training/rollout_probs_diff_std:0.010841231793165207 - training/rollout_actor_probs_pearson_corr:0.9993086457252502 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.609375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.83203125 - rollout_corr/rollout_is_mean:0.9999167919158936 - rollout_corr/rollout_is_ratio_fraction_high:8.872878424881492e-06 - rollout_corr/rollout_is_ratio_fraction_low:1.7745756849762984e-05 - rollout_corr/rollout_is_max:2.256157159805298 - rollout_corr/rollout_is_min:1.8565188497632334e-07 - rollout_corr/rollout_is_std:0.035090066492557526 - rollout_corr/rollout_is_eff_sample_size:0.9987699636823175 - rollout_corr/rollout_is_seq_mean:0.9999032020568848 - rollout_corr/rollout_is_seq_std:0.002013471210375428 - rollout_corr/rollout_is_seq_max:1.0075592994689941 - rollout_corr/rollout_is_seq_min:0.9934999942779541 - rollout_corr/rollout_is_seq_max_deviation:0.007559299468994141 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6734817675314844) - rollout_corr/training_log_ppl:np.float64(0.5028578019700944) - rollout_corr/kl:np.float64(0.0007867071553491201) - rollout_corr/k3_kl:np.float64(0.0008091878738127889) - rollout_corr/rollout_ppl:np.float64(1.6721355388872325) - rollout_corr/rollout_log_ppl:np.float64(0.5020710933895316) - rollout_corr/log_ppl_diff:np.float64(0.0007867085805628449) - rollout_corr/log_ppl_abs_diff:np.float64(0.0017737957823555917) - rollout_corr/log_ppl_diff_max:np.float64(0.022169530391693115) - rollout_corr/log_ppl_diff_min:np.float64(-0.006566405296325684) - rollout_corr/ppl_ratio:np.float64(1.000790162710473) - rollout_corr/chi2_token:np.float64(0.0015391185879707336) - rollout_corr/chi2_seq:np.float64(1.4496739441528916) - actor/pg_loss:np.float64(0.005306927720084786) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00039829218349041184) - actor/ppo_kl:np.float64(-4.736486153222863e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.83203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.83203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.609375) - self_distillation/token_reweight_w_mean:np.float64(76.99012057809159) - self_distillation/token_reweight_w_std:np.float64(1541.8618622039212) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9995152873452753) - self_distillation/token_reweight_w_clip_frac:np.float64(0.11978079983964562) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.2994599714875221) - perf/mfu/actor:np.float64(0.052974969811297) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(197.06073379516602) - actor/lr:np.float64(1e-06) - training/global_step:79 - training/epoch:1 - critic/score/mean:0.609375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.609375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.009753511287271976 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.009753511287271976 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:440.24609375 - r
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 80}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1", we must analyze the structure and functional groups of the target molecule and compare it to the structures of the given options.
The target molecule contains:
- A nitrogen-containing ring (likely an azole or similar).
- A chlorinated aromatic ring (Cl).
- A trifluoromethyl group (C(F)(F)F).
- A nitrogen-containing side chain that is connected to a carbon chain with a chlorinated aromatic group and a trifluoromethyl group.
Now, we analyze the options:
**Option A:**
"O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1"
- Contains a chlorinated aromatic ring (Cl).
- Contains a trifluoromethyl group (C(F)(F)F).
- Contains a nitrogen-containing ring with a side chain that connects to the chlorinated aromatic ring and the trifluoromethyl group.
- Matches the structure of the target molecule closely.
**Option B:**
"O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1"
- Contains a chlorinated ring, but the side chain and functional groups do not match the target molecule.
- The nitrogen-containing ring is different and does not include the trifluoromethyl group.
**Option C:**
"O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1"
- Contains a chlorinated aromatic ring and a trifluoromethyl group.
- However, the functional group arrangement and the nitrogen-containing ring do not match the target molecule's structure.
**Option D:**
"O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F"
- Contains a trifluoromethyl group and a chlorinated ring.
- However, the nitrogen-containing ring and the side chain are not structured correctly to match the target molecule.
**Conclusion:**
Only **Option A** contains all the necessary functional groups and structural elements that match the target molecule "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1".
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_80
step:80 - global_seqlen/min:21379 - global_seqlen/max:27736 - global_seqlen/minmax_diff:6357 - global_seqlen/balanced_min:24041 - global_seqlen/balanced_max:24046 - global_seqlen/mean:24044.0 - actor/entropy:0.5321111679077148 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.22554826736450195 - training/rollout_probs_diff_mean:0.005127668380737305 - training/rollout_probs_diff_std:0.010481650941073895 - training/rollout_actor_probs_pearson_corr:0.999333381652832 - self_distillation/success_group_fraction:0.90625 - self_distillation/success_sample_fraction:0.90234375 - self_distillation/correct_sample_fraction:0.7109375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.90234375 - rollout_corr/rollout_is_mean:0.9999201893806458 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.784020185470581 - rollout_corr/rollout_is_min:0.5773587822914124 - rollout_corr/rollout_is_std:0.03691612929105759 - rollout_corr/rollout_is_eff_sample_size:0.9986386974447631 - rollout_corr/rollout_is_seq_mean:0.9999967813491821 - rollout_corr/rollout_is_seq_std:0.002032036194577813 - rollout_corr/rollout_is_seq_max:1.0090333223342896 - rollout_corr/rollout_is_seq_min:0.99375981092453 - rollout_corr/rollout_is_seq_max_deviation:0.00903332233428955 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7447218438610435) - rollout_corr/training_log_ppl:np.float64(0.5451616903301328) - rollout_corr/kl:np.float64(0.0007389033336671069) - rollout_corr/k3_kl:np.float64(0.0007813431365661927) - rollout_corr/rollout_ppl:np.float64(1.743419658858329) - rollout_corr/rollout_log_ppl:np.float64(0.5444227863335982) - rollout_corr/log_ppl_diff:np.float64(0.0007389039965346456) - rollout_corr/log_ppl_abs_diff:np.float64(0.0016596049536019564) - rollout_corr/log_ppl_diff_max:np.float64(0.005907297134399414) - rollout_corr/log_ppl_diff_min:np.float64(-0.0042874813079833984) - rollout_corr/ppl_ratio:np.float64(1.0007411232218146) - rollout_corr/chi2_token:np.float64(0.001654008636251092) - rollout_corr/chi2_seq:np.float64(0.4709114315919578) - actor/pg_loss:np.float64(0.004708616062998772) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0004071622186074819) - actor/ppo_kl:np.float64(2.530917598608795e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.90234375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.90234375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.7109375) - self_distillation/token_reweight_w_mean:np.float64(13418.10702541261) - self_distillation/token_reweight_w_std:np.float64(249965.62142065133) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0001714508980513) - self_distillation/token_reweight_w_clip_frac:np.float64(0.10478754635551013) - self_distillation/empty_target_batch:np.float64(0.09765625) - actor/grad_norm:np.float64(0.277141023427248) - perf/mfu/actor:np.float64(0.05686537883473178) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(197.12682485580444) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.7098214285714286) - val-aux/sciknoweval/reward/std@16:np.float64(0.14355997006676555) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7664952380952381) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.10898051269342317) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.6531333333333332) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.13319323391175897) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.710485714285
step:81 - global_seqlen/min:19063 - global_seqlen/max:27921 - global_seqlen/minmax_diff:8858 - global_seqlen/balanced_min:22607 - global_seqlen/balanced_max:22618 - global_seqlen/mean:22615.0 - actor/entropy:0.4837610721588135 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.18462881445884705 - training/rollout_probs_diff_mean:0.004895538557320833 - training/rollout_probs_diff_std:0.010500817559659481 - training/rollout_actor_probs_pearson_corr:0.9993140697479248 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.7734375 - self_distillation/correct_sample_fraction:0.63671875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.7734375 - rollout_corr/rollout_is_mean:0.9999274611473083 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:9.790866897674277e-06 - rollout_corr/rollout_is_max:1.9132018089294434 - rollout_corr/rollout_is_min:0.4658448398113251 - rollout_corr/rollout_is_std:0.036682888865470886 - rollout_corr/rollout_is_eff_sample_size:0.998655936060176 - rollout_corr/rollout_is_seq_mean:0.9999848008155823 - rollout_corr/rollout_is_seq_std:0.002200948540121317 - rollout_corr/rollout_is_seq_max:1.0080451965332031 - rollout_corr/rollout_is_seq_min:0.9924934506416321 - rollout_corr/rollout_is_seq_max_deviation:0.008045196533203125 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6707927286624908) - rollout_corr/training_log_ppl:np.float64(0.496672905923333) - rollout_corr/kl:np.float64(0.0007028676274636325) - rollout_corr/k3_kl:np.float64(0.0008774436023486487) - rollout_corr/rollout_ppl:np.float64(1.6695120050571859) - rollout_corr/rollout_log_ppl:np.float64(0.4959700393374078) - rollout_corr/log_ppl_diff:np.float64(0.0007028665859252214) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018403253052383661) - rollout_corr/log_ppl_diff_max:np.float64(0.008645951747894287) - rollout_corr/log_ppl_diff_min:np.float64(-0.005466446280479431) - rollout_corr/ppl_ratio:np.float64(1.0007056852336973) - rollout_corr/chi2_token:np.float64(0.002068758476525545) - rollout_corr/chi2_seq:np.float64(0.5465720517095178) - actor/pg_loss:np.float64(0.0029664566973224282) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00035411453472988796) - actor/ppo_kl:np.float64(-4.833459730235745e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.7734375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.7734375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.63671875) - self_distillation/token_reweight_w_mean:np.float64(46.35069849877618) - self_distillation/token_reweight_w_std:np.float64(809.1466785562807) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0000212090089917) - self_distillation/token_reweight_w_clip_frac:np.float64(0.07078566148993559) - self_distillation/empty_target_batch:np.float64(0.2265625) - actor/grad_norm:np.float64(0.2487758994102478) - perf/mfu/actor:np.float64(0.0539087676600922) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(200.76457595825195) - actor/lr:np.float64(1e-06) - training/global_step:81 - training/epoch:1 - critic/score/mean:0.63671875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.63671875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.008355281315743923 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.008355281315743923 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:398.96875 - response_length/max:113
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step:89 - global_seqlen/min:20192 - global_seqlen/max:26260 - global_seqlen/minmax_diff:6068 - global_seqlen/balanced_min:23178 - global_seqlen/balanced_max:23186 - global_seqlen/mean:23183.75 - actor/entropy:0.4386472702026367 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.7019415497779846 - training/rollout_probs_diff_mean:0.0047370451502501965 - training/rollout_probs_diff_std:0.010689225047826767 - training/rollout_actor_probs_pearson_corr:0.999261736869812 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.86328125 - self_distillation/correct_sample_fraction:0.59765625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.86328125 - rollout_corr/rollout_is_mean:0.9999846816062927 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.8036542314803228e-05 - rollout_corr/rollout_is_max:1.5554907321929932 - rollout_corr/rollout_is_min:0.03433068096637726 - rollout_corr/rollout_is_std:0.0357397198677063 - rollout_corr/rollout_is_eff_sample_size:0.9987241830413971 - rollout_corr/rollout_is_seq_mean:0.9999765157699585 - rollout_corr/rollout_is_seq_std:0.0020081165712326765 - rollout_corr/rollout_is_seq_max:1.0105236768722534 - rollout_corr/rollout_is_seq_min:0.9940011501312256 - rollout_corr/rollout_is_seq_max_deviation:0.010523676872253418 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6203870358876884) - rollout_corr/training_log_ppl:np.float64(0.47031728448928334) - rollout_corr/kl:np.float64(0.0010279387461658018) - rollout_corr/k3_kl:np.float64(0.0008464122184363987) - rollout_corr/rollout_ppl:np.float64(1.6186228357255459) - rollout_corr/rollout_log_ppl:np.float64(0.4692893385363277) - rollout_corr/log_ppl_diff:np.float64(0.0010279459529556334) - rollout_corr/log_ppl_abs_diff:np.float64(0.00189788214629516) - rollout_corr/log_ppl_diff_max:np.float64(0.0077957212924957275) - rollout_corr/log_ppl_diff_min:np.float64(-0.004509687423706055) - rollout_corr/ppl_ratio:np.float64(1.0010310297366232) - rollout_corr/chi2_token:np.float64(0.0013277053367346525) - rollout_corr/chi2_seq:np.float64(0.5938672970514745) - actor/pg_loss:np.float64(0.0077381625305861235) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008514890976130118) - actor/ppo_kl:np.float64(0.0002891868470378256) - actor/pg_clipfrac_lower:np.float64(8.172070920409169e-06) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.86328125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.86328125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.59765625) - self_distillation/token_reweight_w_mean:np.float64(47.27642107871361) - self_distillation/token_reweight_w_std:np.float64(801.2714838348329) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.000362384133041) - self_distillation/token_reweight_w_clip_frac:np.float64(0.13113477459410205) - self_distillation/empty_target_batch:np.float64(0.13671875) - actor/grad_norm:np.float64(0.3602307364344597) - perf/mfu/actor:np.float64(0.05579510012189607) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(197.08685684204102) - actor/lr:np.float64(1e-06) - training/global_step:89 - training/epoch:1 - critic/score/mean:0.59765625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.59765625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0041562956757843494 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0041562956757843494 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:433.148437
test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 90}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product **"Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1"**, we need to analyze the structure of the product and compare it with the options provided.
The product has the following key features:
- A nitrogen-containing ring (likely a pyrrole or similar structure).
- A **chlorine-substituted benzene ring** (from the **Cl** in **"ccc(Cl)"**).
- A **trifluoromethyl group** (from **"C(F)(F)F"**).
- A **nitrogen-containing bridge** connecting the ring to the rest of the molecule.
Now, lets evaluate each option:
**Option A**:
`O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1`
- Contains a **chlorine-substituted benzene ring**.
- Contains a **trifluoromethyl group**.
- Contains a **nitrogen-containing bridge** with the correct connectivity.
- This matches the structure of the product and appears to be a direct precursor.
**Option B**:
`O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1`
- Contains **chlorine atoms**, but the **trifluoromethyl group** is missing.
- The **nitrogen-containing bridge** is not properly connected to the **trifluoromethyl** group.
- This does not match the product structure.
**Option C**:
`O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1`
- Contains a **chlorine-substituted benzene ring** and a **trifluoromethyl group**.
- However, the **nitrogen-containing bridge** is not properly positioned and is connected via an **oxygen**, which is not part of the product.
- This is not a correct match.
**Option D**:
`O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F`
- Contains a **trifluoromethyl group**.
- However, it **lacks the chlorine-substituted benzene ring** and the **correct nitrogen-containing bridge**.
- This also does not match the product structure.
**Conclusion**:
Only **Option A** contains all the necessary functional groups and the correct connectivity to serve as the only correct reactant in the synthesis of the given product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_90
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step:91 - global_seqlen/min:20110 - global_seqlen/max:28143 - global_seqlen/minmax_diff:8033 - global_seqlen/balanced_min:22954 - global_seqlen/balanced_max:22958 - global_seqlen/mean:22955.625 - actor/entropy:0.4345111846923828 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.318805456161499 - training/rollout_probs_diff_mean:0.00483555207028985 - training/rollout_probs_diff_std:0.010917664505541325 - training/rollout_actor_probs_pearson_corr:0.9992064833641052 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.8046875 - self_distillation/correct_sample_fraction:0.640625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.8046875 - rollout_corr/rollout_is_mean:1.0000874996185303 - rollout_corr/rollout_is_ratio_fraction_high:9.058217074198183e-06 - rollout_corr/rollout_is_ratio_fraction_low:1.8116434148396365e-05 - rollout_corr/rollout_is_max:2.0618367195129395 - rollout_corr/rollout_is_min:0.27237245440483093 - rollout_corr/rollout_is_std:0.037339948117733 - rollout_corr/rollout_is_eff_sample_size:0.9986079071919081 - rollout_corr/rollout_is_seq_mean:1.0000126361846924 - rollout_corr/rollout_is_seq_std:0.0018744589760899544 - rollout_corr/rollout_is_seq_max:1.0062435865402222 - rollout_corr/rollout_is_seq_min:0.9926995038986206 - rollout_corr/rollout_is_seq_max_deviation:0.0073004961013793945 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5809713881462812) - rollout_corr/training_log_ppl:np.float64(0.4482057260465808) - rollout_corr/kl:np.float64(0.0007782714664905654) - rollout_corr/k3_kl:np.float64(0.0007742295367734187) - rollout_corr/rollout_ppl:np.float64(1.5796857569366693) - rollout_corr/rollout_log_ppl:np.float64(0.4474274521926418) - rollout_corr/log_ppl_diff:np.float64(0.0007782738539390266) - rollout_corr/log_ppl_abs_diff:np.float64(0.0016364274197258055) - rollout_corr/log_ppl_diff_max:np.float64(0.007638216018676758) - rollout_corr/log_ppl_diff_min:np.float64(-0.005470573902130127) - rollout_corr/ppl_ratio:np.float64(1.0007805426139385) - rollout_corr/chi2_token:np.float64(0.001570558873936534) - rollout_corr/chi2_seq:np.float64(0.9185826345346868) - actor/pg_loss:np.float64(0.004598198342137039) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000316593827392353) - actor/ppo_kl:np.float64(5.939174411295767e-05) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.8046875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.8046875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.640625) - self_distillation/token_reweight_w_mean:np.float64(7563.319094766863) - self_distillation/token_reweight_w_std:np.float64(150023.32301567192) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.999886890873313) - self_distillation/token_reweight_w_clip_frac:np.float64(0.08767912839539349) - self_distillation/empty_target_batch:np.float64(0.1953125) - actor/grad_norm:np.float64(0.2757617086172104) - perf/mfu/actor:np.float64(0.054246744251757004) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(201.1460475921631) - actor/lr:np.float64(1e-06) - training/global_step:91 - training/epoch:1 - critic/score/mean:0.640625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.640625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0008684565545991063 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0008684565545991063 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:431.23828125 - response_l
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test_gen_batch meta info: {'eos_token_id': 151645, 'pad_token_id': 151643, 'recompute_log_prob': False, 'do_sample': True, 'validate': True, 'global_steps': 100}
validation generation end
[prompt] system
Given a question and four options, please select the right answer. Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
For the answer, only output the letter corresponding to the correct option (A, B, C, or D), and nothing else. Do not restate the answer text. For example, if the answer is "A", just output:
<answer>
A
</answer>
user
Which of the following molecules is the only correct reactant used in the synthesis of the product "Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1" ?
A: O=C1c2ccccc2C(=O)N1c1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1
B: O=C1c2ccccc2C(Cl)N1c1ccc2ccc(Cl)nc2n1
C: O=C1c2ccccc2C(=O)N1Cc1ccc(Oc2ccc(Cl)c(C(F)(F)F)c2)cc1
D: O=C1c2ccccc2C(=O)N1CC=C(Cc1ccccc1)C(F)(F)F
Please reason step by step.
assistant
<think>
</think>
[response] <reasoning>
To determine the correct reactant for the synthesis of the product **"Nc1ccn(Cc2ccc(Cl)cc2C(F)(F)F)n1"**, we need to analyze the structure of the product and compare it with the structures of the given options.
The product contains:
- A **nitrogen-containing ring** (likely an imine or azole ring),
- A **chlorine atom** attached to a benzene ring,
- A **trifluoromethyl group** (C(F)(F)F),
- A **nitrogen atom** connected to a carbon chain containing a **chlorinated benzene ring** and a **fluorinated group**.
Now, lets examine the options:
**Option A:**
- Contains a **nitrogen-containing ring** (likely a pyrrole or similar),
- A **chlorinated benzene ring** (with Cl),
- A **trifluoromethyl group** (C(F)(F)F),
- A **nitrogen atom** connected to a carbon chain that includes the **chlorinated benzene** and **fluorinated group**.
This matches the structure of the target product very closely, including all the key functional groups and their positions.
**Option B:**
- Contains a **chlorine** and **nitrogen**, but the **fluorinated group** is not present in the correct position, and the **nitrogen ring** is not properly structured.
**Option C:**
- Contains a **fluorinated group**, but the **chlorine** is attached to an **oxygen**, not directly to the benzene ring. The **fluorinated group** is in a different position than in the product.
**Option D:**
- Contains a **fluorinated group** and a **chlorinated benzene ring**, but the **nitrogen-containing ring** is not present in the correct structure.
Only **Option A** contains all the required functional groups in the correct positions to serve as the **only correct reactant** for the synthesis of the given product.
</reasoning>
<answer>
A
</answer>
[ground_truth] A
[score] 1.0
[acc] 1.0
[pred] A
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/chemistry/qwen3gen-chemistry-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_100
step:100 - global_seqlen/min:23741 - global_seqlen/max:31057 - global_seqlen/minmax_diff:7316 - global_seqlen/balanced_min:24739 - global_seqlen/balanced_max:31757 - global_seqlen/mean:25617.625 - actor/entropy:0.4436495304107666 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.24008721113204956 - training/rollout_probs_diff_mean:0.004401609301567078 - training/rollout_probs_diff_std:0.009758861735463142 - training/rollout_actor_probs_pearson_corr:0.9993872046470642 - self_distillation/success_group_fraction:0.9375 - self_distillation/success_sample_fraction:0.91796875 - self_distillation/correct_sample_fraction:0.69921875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.91796875 - rollout_corr/rollout_is_mean:1.0000593662261963 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.7518070936203003 - rollout_corr/rollout_is_min:0.5589723587036133 - rollout_corr/rollout_is_std:0.03378680348396301 - rollout_corr/rollout_is_eff_sample_size:0.9988599913647978 - rollout_corr/rollout_is_seq_mean:1.0000724792480469 - rollout_corr/rollout_is_seq_std:0.0018252491718158126 - rollout_corr/rollout_is_seq_max:1.0057400465011597 - rollout_corr/rollout_is_seq_min:0.9935486912727356 - rollout_corr/rollout_is_seq_max_deviation:0.006451308727264404 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6480820523574948) - rollout_corr/training_log_ppl:np.float64(0.4857633382116546) - rollout_corr/kl:np.float64(0.0007351505751955756) - rollout_corr/k3_kl:np.float64(0.0006855184932135217) - rollout_corr/rollout_ppl:np.float64(1.6468097120523453) - rollout_corr/rollout_log_ppl:np.float64(0.48502818830229444) - rollout_corr/log_ppl_diff:np.float64(0.0007351499093601888) - rollout_corr/log_ppl_abs_diff:np.float64(0.001427958528893214) - rollout_corr/log_ppl_diff_max:np.float64(0.007762610912322998) - rollout_corr/log_ppl_diff_min:np.float64(-0.004005610942840576) - rollout_corr/ppl_ratio:np.float64(1.0007370123639703) - rollout_corr/chi2_token:np.float64(0.0012815699446946383) - rollout_corr/chi2_seq:np.float64(0.31913869245909154) - actor/pg_loss:np.float64(0.003367550321854651) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0003017752374034899) - actor/ppo_kl:np.float64(0.00018170115079385596) - actor/pg_clipfrac_lower:np.float64(0.0) - self_distillation/token_reweight_lambda:np.float64(0.5) - self_distillation/token_reweight_eps_w:np.float64(0.20000000000000004) - self_distillation/token_reweight_active_token_fraction:np.float64(0.91796875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.91796875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.69921875) - self_distillation/token_reweight_w_mean:np.float64(1570.6249493323267) - self_distillation/token_reweight_w_std:np.float64(40484.064735737746) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.001023317920044) - self_distillation/token_reweight_w_clip_frac:np.float64(0.0961508322507143) - self_distillation/empty_target_batch:np.float64(0.08203125) - actor/grad_norm:np.float64(0.2478880025446415) - perf/mfu/actor:np.float64(0.05716674172282474) - perf/max_memory_allocated_gb:np.float64(134.57307815551758) - perf/max_memory_reserved_gb:np.float64(149.07421875) - perf/cpu_memory_used_gb:np.float64(197.12733459472656) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.7065476190476191) - val-aux/sciknoweval/reward/std@16:np.float64(0.14963967195739616) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.7672380952380953) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.12522806043858783) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.6460952380952382) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.12793485078945213) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0
("Final validation metrics: {'val-aux/sciknoweval/reward/mean@16': "
"np.float64(0.7065476190476191), 'val-aux/sciknoweval/reward/std@16': "
"np.float64(0.14963967195739616), 'val-aux/sciknoweval/reward/best@2/mean': "
"np.float64(0.7672380952380953), 'val-aux/sciknoweval/reward/best@2/std': "
"np.float64(0.12522806043858783), 'val-aux/sciknoweval/reward/worst@2/mean': "
"np.float64(0.6460952380952382), 'val-aux/sciknoweval/reward/worst@2/std': "
"np.float64(0.12793485078945213), 'val-aux/sciknoweval/reward/maj@2/mean': "
"np.float64(0.7068333333333333), 'val-aux/sciknoweval/reward/maj@2/std': "
"np.float64(0.14978365629442147), 'val-aux/sciknoweval/reward/best@4/mean': "
"np.float64(0.8158333333333333), 'val-aux/sciknoweval/reward/best@4/std': "
"np.float64(0.09352166658220648), 'val-aux/sciknoweval/reward/worst@4/mean': "
"np.float64(0.5964190476190476), 'val-aux/sciknoweval/reward/worst@4/std': "
"np.float64(0.09674390853009297), 'val-aux/sciknoweval/reward/maj@4/mean': "
"np.float64(0.7151904761904762), 'val-aux/sciknoweval/reward/maj@4/std': "
"np.float64(0.1197973344827459), 'val-aux/sciknoweval/reward/best@8/mean': "
"np.float64(0.8520904761904763), 'val-aux/sciknoweval/reward/best@8/std': "
"np.float64(0.06467821428517558), 'val-aux/sciknoweval/reward/worst@8/mean': "
"np.float64(0.5596142857142857), 'val-aux/sciknoweval/reward/worst@8/std': "
"np.float64(0.06871965760347537), 'val-aux/sciknoweval/reward/maj@8/mean': "
"np.float64(0.7202857142857142), 'val-aux/sciknoweval/reward/maj@8/std': "
"np.float64(0.08852864730736695), 'val-aux/sciknoweval/reward/best@16/mean': "
"np.float64(0.8776952380952381), 'val-aux/sciknoweval/reward/best@16/std': "
"np.float64(0.0403808452308748), 'val-aux/sciknoweval/reward/worst@16/mean': "
"np.float64(0.5314904761904762), 'val-aux/sciknoweval/reward/worst@16/std': "
"np.float64(0.04527152807209723), 'val-aux/sciknoweval/reward/maj@16/mean': "
"np.float64(0.7233190476190475), 'val-aux/sciknoweval/reward/maj@16/std': "
"np.float64(0.06487826170016521), 'val-aux/sciknoweval/score/mean@16': "
"np.float64(0.7065476190476191), 'val-aux/sciknoweval/score/std@16': "
"np.float64(0.14963967195739616), 'val-aux/sciknoweval/score/best@2/mean': "
"np.float64(0.7672380952380953), 'val-aux/sciknoweval/score/best@2/std': "
"np.float64(0.12522806043858783), 'val-aux/sciknoweval/score/worst@2/mean': "
"np.float64(0.6460952380952382), 'val-aux/sciknoweval/score/worst@2/std': "
"np.float64(0.12793485078945213), 'val-aux/sciknoweval/score/maj@2/mean': "
"np.float64(0.7068333333333333), 'val-aux/sciknoweval/score/maj@2/std': "
"np.float64(0.14978365629442147), 'val-aux/sciknoweval/score/best@4/mean': "
"np.float64(0.8158333333333333), 'val-aux/sciknoweval/score/best@4/std': "
"np.float64(0.09352166658220648), 'val-aux/sciknoweval/score/worst@4/mean': "
"np.float64(0.5964190476190476), 'val-aux/sciknoweval/score/worst@4/std': "
"np.float64(0.09674390853009297), 'val-aux/sciknoweval/score/maj@4/mean': "
"np.float64(0.7151904761904762), 'val-aux/sciknoweval/score/maj@4/std': "
"np.float64(0.1197973344827459), 'val-aux/sciknoweval/score/best@8/mean': "
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"np.float64(0.7233190476190475), 'val-aux/sciknoweval/score/maj@16/std': "
"np.float64(0.06487826170016521), 'val-core/sciknoweval/acc/mean@16': "
"np.float64(0.7065476190476191), 'val-aux/sciknoweval/acc/std@16': "
"np.float64(0.14963967195739616), 'val-aux/sciknoweval/acc/best@2/mean': "
"np.float64(0.7672380952380953), 'val-aux/sciknoweval/acc/best@2/std': "
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"np.float64(0.06871965760347537), 'val-aux/sciknoweval/acc/maj@8/mean': "
"np.float64(0.7202857142857142), 'val-aux/sciknoweval/acc/maj@8/std': "
"np.float64(0.08852864730736695), 'val-core/sciknoweval/acc/best@16/mean': "
"np.float64(0.8776952380952381), 'val-core/sciknoweval/acc/best@16/std': "
"np.float64(0.0403808452308748), 'val-aux/sciknoweval/acc/worst@16/mean': "
"np.float64(0.5314904761904762), 'val-aux/sciknoweval/acc/worst@16/std': "
"np.float64(0.04527152807209723), 'val-core/sciknoweval/acc/maj@16/mean': "
"np.float64(0.7233190476190475), 'val-core/sciknoweval/acc/maj@16/std': "
'np.float64(0.06487826170016521), '
"'val-aux/sciknoweval/incorrect_format/mean@16': "
'np.float64(0.9982142857142857), '
"'val-aux/sciknoweval/incorrect_format/std@16': "
'np.float64(0.006916041689656103), '
"'val-aux/sciknoweval/incorrect_format/best@2/mean': "
'np.float64(0.999904761904762), '
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'np.float64(0.0016180983939162673), '
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"'val-aux/sciknoweval/incorrect_format/worst@8/mean': "
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'np.float64(0.9998380952380953), '
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'np.float64(0.9999714285714286), '
"'val-aux/sciknoweval/incorrect_format/maj@16/std': "
"np.float64(0.0006015850374731164), 'val-aux/num_turns/min': np.int32(2), "
"'val-aux/num_turns/max': np.int32(2), 'val-aux/num_turns/mean': "
'np.float64(2.0)}')

5789
artifacts/queue.log Normal file

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286
artifacts/requirements.txt Normal file
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@@ -0,0 +1,286 @@
colorama==0.4.6
psutil==7.1.3
wheel==0.47.0
pip==26.1.2
mpmath==1.3.0
typing_extensions==4.15.0
pillow==12.2.0
nvidia-cuda-runtime-cu12==12.8.90
nvidia-cuda-nvrtc-cu12==12.8.93
nvidia-cusparse-cu12==12.5.8.93
nvidia-cufft-cu12==11.3.3.83
nvidia-cuda-cupti-cu12==12.8.90
nvidia-cublas-cu12==12.8.4.1
llguidance==1.3.0
anthropic==0.71.0
nodeenv==1.10.0
networkx==3.6.1
MarkupSafe==3.0.3
filelock==3.29.0
nvidia-cudnn-cu12==9.10.2.21
transformers==4.57.1
Jinja2==3.1.6
nvidia-cusolver-cu12==11.7.3.90
torch==2.9.0
rich-toolkit==0.20.1
z3-solver==4.15.4.0
word2number==1.1
pytz==2026.2
pylatexenc==2.10
py-spy==0.4.2
opencensus-context==0.1.3
distlib==0.4.3
colorful==0.5.8
antlr4-python3-runtime==4.9.3
zipp==4.1.0
xxhash==3.7.0
wrapt==2.2.1
Werkzeug==3.1.8
urllib3==2.7.0
tzdata==2026.2
typing-inspection==0.4.2
tqdm==4.68.2
tensorboard-data-server==0.7.2
smmap==5.0.3
six==1.17.0
safetensors==0.8.0
rpds-py==2026.5.1
regex==2026.5.9
pyzmq==27.1.0
PyYAML==6.0.3
Pygments==2.20.0
pydantic_core==2.46.4
pycparser==3.0
pybind11==3.0.1
pyasn1==0.6.3
pyarrow==22.0.0
psutil==7.1.3
protobuf==6.33.6
propcache==0.5.2
prometheus_client==0.25.0
pluggy==1.6.0
platformdirs==4.10.0
httpcore==1.0.9
packaging==25.0
orjson==3.11.9
opentelemetry-api==1.42.1
numpy==2.1.0
multidict==6.7.1
msgpack==1.2.0
Markdown==3.10.2
iniconfig==2.3.0
idna==3.18
identify==2.6.19
hf-xet==1.5.1
h11==0.16.0
grpcio==1.81.1
gitdb==4.0.12
fsspec==2025.10.0
frozenlist==1.8.0
dill==0.4.0
codetiming==1.4.0
cloudpickle==3.1.2
click==8.4.1
charset-normalizer==3.4.7
cfgv==3.5.0
certifi==2026.5.20
attrs==26.1.0
annotated-types==0.7.0
annotated-doc==0.0.4
aiohappyeyeballs==2.6.2
absl-py==2.4.0
yarl==1.24.2
uvicorn==0.40.0
tensorboard==2.20.0
smart_open==7.6.1
sentry-sdk==2.62.0
requests==2.34.2
referencing==0.37.0
pyvers==0.1.0
python-discovery==1.4.2
python-dateutil==2.9.0.post0
pytest==9.1.0
pydantic==2.13.4
pyasn1_modules==0.4.2
proto-plus==1.28.0
nvidia-nvjitlink-cu12==12.8.93
nvidia-curand-cu12==10.3.9.90
omegaconf==2.3.1
multiprocess==0.70.18
latex2sympy2_extended==1.10.2
latex2sympy2==1.5.4
googleapis-common-protos==1.75.0
cffi==2.0.0
anyio==4.13.0
aiosignal==1.4.0
virtualenv==21.5.0
starlette==0.50.0
pytest-rerunfailures==16.3
pytest-asyncio==1.4.0
pandas==2.3.3
nvidia-nccl-cu12==2.27.5
math-verify==0.8.0
jsonschema-specifications==2025.9.1
hydra-core==1.3.2
huggingface_hub==0.36.2
httpx==0.28.1
GitPython==3.1.50
cryptography==49.0.0
aiohttp==3.14.1
wandb==0.23.1
torchdata==0.11.0
numba==0.61.2
tensordict==0.10.0
pre_commit==4.6.0
liger_kernel==0.8.0
jsonschema==4.26.0
google-auth==2.54.0
fastapi==0.127.0
aiohttp-cors==0.8.1
accelerate==1.12.0
llvmlite==0.44.0
google-api-core==2.29.0
datasets==4.4.2
peft==0.18.0
opencensus==0.11.4
verl==0.7.0.dev0
einops==0.8.2
py-cpuinfo==9.0.0
nvidia-cusparselt-cu12==0.7.1
websockets==16.0
uvloop==0.22.1
sniffio==1.3.1
shellingham==1.5.4
sentencepiece==0.2.1
scipy==1.17.1
rignore==0.7.6
python-multipart==0.0.32
python-json-logger==4.1.0
python-dotenv==1.2.2
pycountry==26.2.16
partial-json-parser==0.2.1.1.post7
opentelemetry-semantic-conventions-ai==0.4.13
opencv-python-headless==4.13.0.92
ninja==1.13.0
nest-asyncio==1.6.0
msgspec==0.21.1
mdurl==0.1.2
lark==1.2.2
jiter==0.15.0
interegular==0.3.3
importlib_metadata==8.0.0
httptools==0.8.0
fastar==0.11.0
dnspython==2.8.0
distro==1.9.0
diskcache==5.6.3
detect-installer==0.1.0
Deprecated==1.3.1
cuda-pathfinder==1.5.5
cachetools==7.1.4
blake3==1.0.8
astor==0.8.1
airportsdata==20260315
watchfiles==1.2.0
tiktoken==0.13.0
tilelang==0.1.9
markdown-it-py==4.2.0
gguf==0.19.0
email-validator==2.3.0
cuda-tile==1.3.0
cupy-cuda12x==14.1.1
nvidia-ml-py==13.610.43
rich==15.0.0
pydantic-settings==2.14.1
pydantic-extra-types==2.11.1
prometheus-fastapi-instrumentator==7.1.0
supervisor==4.3.0
tokenspeed-mla==0.1.2
outlines_core==0.2.11
typer==0.26.7
quack-kernels==0.5.0
nvidia-nvvm==13.2.78
torch_c_dlpack_ext==0.1.5
mistral_common==1.11.3
fastapi-cloud-cli==0.20.0
fastapi-cli==0.0.24
cuda-toolkit==13.0.2
tabulate==0.10.0
sympy==1.14.0
setuptools==79.0.1
pybase64==1.4.3
nvidia-cufile-cu12==1.13.1.3
humming-kernels==0.1.4
setproctitle==1.3.7
triton==3.5.0
nvidia-nvtx-cu12==12.8.90
nvidia-cusparselt-cu13==0.8.0
tokenspeed-triton==3.7.10.post20260531
PyJWT==2.13.0
pyelftools==0.33
nvidia-nvshmem-cu12==3.3.20
nvidia-nvtx==13.0.85
nvidia-nvshmem-cu13==3.4.5
nvidia-nvjitlink==13.0.88
nvidia-nccl-cu13==2.28.9
nvidia-curand==10.4.0.35
nvidia-cufile==1.15.1.6
nvidia-cudnn-frontend==1.25.0
nvidia-cuda-runtime==13.0.96
nvidia-cuda-nvrtc==13.0.88
nvidia-cuda-cupti==13.0.85
nvidia-cuda-crt==13.3.33
nvidia-cuda-cccl==13.3.3.3.1
nvidia-cublas==13.1.0.3
ml_dtypes==0.5.4
loguru==0.7.3
jmespath==1.1.0
ijson==3.5.0
httpx-sse==0.4.3
docstring_parser==0.18.0
depyf==0.20.0
cuda-core==1.0.1
cuda-bindings==13.3.1
cbor2==6.1.2
apache-tvm-ffi==0.1.9
mcp==1.27.2
opentelemetry-semantic-conventions==0.63b1
opentelemetry-proto==1.42.1
nvidia-cusparse==12.6.3.3
nvidia-cufft==12.0.0.61
nvidia-cudnn-cu13==9.19.0.56
nvidia-cuda-nvcc==13.2.78
cuda-python==13.3.1
fastsafetensors==0.3.2
tokenizers==0.22.2
sse-starlette==3.4.4
opentelemetry-sdk==1.42.1
nvidia-cutlass-dsl==4.5.2
opentelemetry-exporter-otlp-proto-common==1.42.1
openai-harmony==0.0.8
openai==2.41.1
nvidia-cutlass-dsl-libs-base==4.5.2
nvidia-cusolver==12.0.4.66
nvidia-cuda-tileiras==13.2.78
nvidia-cutlass-dsl-libs-cu13==4.5.2
lm-format-enforcer==0.11.3
ray==2.53.0
model-hosting-container-standards==0.1.15
opentelemetry-exporter-otlp-proto-http==1.42.1
opentelemetry-exporter-otlp-proto-grpc==1.42.1
opentelemetry-exporter-otlp==1.42.1
opentelemetry-exporter-prometheus==0.63b1
xgrammar==0.1.27
torchvision==0.24.0
torchaudio==2.9.0
flashinfer-python==0.5.3
compressed-tensors==0.12.2
vllm==0.12.0
flash_attn==2.8.3
flashinfer-cubin==0.5.3
pyparsing==3.3.2
kiwisolver==1.5.0
fonttools==4.63.0
cycler==0.12.1
contourpy==1.3.3
matplotlib==3.11.0

View File

@@ -0,0 +1,109 @@
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