Qwen3-8B-Biology-RLSD-TR/artifacts/output.log

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Checkpoint tracker file does not exist: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-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 [10:33<1:47:26, 70.84s/it]
step:1 - global_seqlen/min:15600 - global_seqlen/max:27199 - global_seqlen/minmax_diff:11599 - global_seqlen/balanced_min:20023 - global_seqlen/balanced_max:24977 - global_seqlen/mean:21045.375 - actor/entropy:0.4126577377319336 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3994395136833191 - training/rollout_probs_diff_mean:0.004546620417386293 - training/rollout_probs_diff_std:0.01053386740386486 - training/rollout_actor_probs_pearson_corr:0.9992953538894653 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.76171875 - self_distillation/correct_sample_fraction:0.33984375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.76171875 - rollout_corr/rollout_is_mean:1.000056266784668 - rollout_corr/rollout_is_ratio_fraction_high:1.1057665687985718e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.7940006256103516 - rollout_corr/rollout_is_min:0.5728462338447571 - rollout_corr/rollout_is_std:0.03542984277009964 - rollout_corr/rollout_is_eff_sample_size:0.9987464188285058 - rollout_corr/rollout_is_seq_mean:1.0000611543655396 - rollout_corr/rollout_is_seq_std:0.00281179859302938 - rollout_corr/rollout_is_seq_max:1.010698676109314 - rollout_corr/rollout_is_seq_min:0.992687463760376 - rollout_corr/rollout_is_seq_max_deviation:0.010698676109313965 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6466993289068341) - rollout_corr/training_log_ppl:np.float64(0.4856233778918977) - rollout_corr/kl:np.float64(0.0007298877579486884) - rollout_corr/k3_kl:np.float64(0.0007910638711052798) - rollout_corr/rollout_ppl:np.float64(1.6454652943648398) - rollout_corr/rollout_log_ppl:np.float64(0.48489348855946446) - rollout_corr/log_ppl_diff:np.float64(0.0007298893324332312) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021618922328343615) - rollout_corr/log_ppl_diff_max:np.float64(0.008347392082214355) - rollout_corr/log_ppl_diff_min:np.float64(-0.00939399003982544) - rollout_corr/ppl_ratio:np.float64(1.0007341927848756) - rollout_corr/chi2_token:np.float64(0.001708504743874073) - rollout_corr/chi2_seq:np.float64(0.82134392648004) - actor/pg_loss:np.float64(-0.00028920394834131) - 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(0.76171875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.76171875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.33984375) - self_distillation/token_reweight_w_mean:np.float64(181501.56403397582) - self_distillation/token_reweight_w_std:np.float64(2542915.057715511) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0095375264063478) - self_distillation/token_reweight_w_clip_frac:np.float64(0.2156037273380207) - self_distillation/empty_target_batch:np.float64(0.23828125) - actor/grad_norm:np.float64(0.6466000825166702) - perf/mfu/actor:np.float64(0.03576274000996296) - perf/max_memory_allocated_gb:np.float64(131.72036409378052) - perf/max_memory_reserved_gb:np.float64(146.0859375) - perf/cpu_memory_used_gb:np.float64(214.6568832397461) - actor/lr:np.float64(0.0) - training/global_step:1 - training/epoch:0 - critic/score/mean:0.33984375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.33984375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.03655111417174339 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.03655111417174339 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:353.26171875 - response_length/max:6373.0 - response_length/min:109.0 - respons
step:2 - global_seqlen/min:18354 - global_seqlen/max:28387 - global_seqlen/minmax_diff:10033 - global_seqlen/balanced_min:21677 - global_seqlen/balanced_max:21709 - global_seqlen/mean:21696.375 - actor/entropy:0.46533331274986267 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.32915088534355164 - training/rollout_probs_diff_mean:0.004827764350920916 - training/rollout_probs_diff_std:0.010550825856626034 - training/rollout_actor_probs_pearson_corr:0.9992901682853699 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - self_distillation/correct_sample_fraction:0.3828125 - 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:1.000097393989563 - rollout_corr/rollout_is_ratio_fraction_high:2.2014066416886635e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.5114405155181885 - rollout_corr/rollout_is_min:0.5382320880889893 - rollout_corr/rollout_is_std:0.036977432668209076 - rollout_corr/rollout_is_eff_sample_size:0.9986346553728019 - rollout_corr/rollout_is_seq_mean:1.0000144243240356 - rollout_corr/rollout_is_seq_std:0.002530081430450082 - rollout_corr/rollout_is_seq_max:1.007573127746582 - rollout_corr/rollout_is_seq_min:0.9874775409698486 - rollout_corr/rollout_is_seq_max_deviation:0.012522459030151367 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6869821110740304) - rollout_corr/training_log_ppl:np.float64(0.5114883733913302) - rollout_corr/kl:np.float64(0.0006667366349890624) - rollout_corr/k3_kl:np.float64(0.0007830008063933747) - rollout_corr/rollout_ppl:np.float64(1.6857630489394069) - rollout_corr/rollout_log_ppl:np.float64(0.5108216329826973) - rollout_corr/log_ppl_diff:np.float64(0.0006667404086329043) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019007385126315057) - rollout_corr/log_ppl_diff_max:np.float64(0.010301589965820312) - rollout_corr/log_ppl_diff_min:np.float64(-0.007616251707077026) - rollout_corr/ppl_ratio:np.float64(1.0006702409591526) - rollout_corr/chi2_token:np.float64(0.001813186565414071) - rollout_corr/chi2_seq:np.float64(0.6796359929721802) - actor/pg_loss:np.float64(0.008732181740924716) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0004421997241479403) - actor/ppo_kl:np.float64(-0.00010238095509862433) - 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(0.3828125) - self_distillation/token_reweight_w_mean:np.float64(51472.344573493116) - self_distillation/token_reweight_w_std:np.float64(836301.9376257198) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.003198635065928) - self_distillation/token_reweight_w_clip_frac:np.float64(0.20639039034722373) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.5260853990912437) - perf/mfu/actor:np.float64(0.05197400378355368) - perf/max_memory_allocated_gb:np.float64(131.72036409378052) - perf/max_memory_reserved_gb:np.float64(146.0859375) - perf/cpu_memory_used_gb:np.float64(206.4067840576172) - actor/lr:np.float64(1e-07) - training/global_step:2 - training/epoch:0 - critic/score/mean:0.3828125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.3828125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0011185897747054696 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0011185897747054696 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:354.88671875 - response_length/max
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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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
The folding stability score of a protein sequence is a measure of how stable the protein is when folded into its native conformation. This score is typically calculated using computational methods that consider factors such as hydrogen bonding, hydrophobic interactions, and the overall energy of the folded structure.

However, the question does not provide any computational method or context for calculating the folding stability score. Therefore, it is not possible to calculate the folding stability score directly from the given sequence without additional information.

Given the lack of specific computational context or method, the most reasonable assumption is that the question is testing knowledge of protein folding stability scores and their typical ranges. Folding stability scores are often reported as positive values, where higher values indicate greater stability.

Among the given options, B (1.69) and C (2.49) are positive values, and C is higher than B. Since the question is likely testing the understanding of typical ranges, and higher values represent greater stability, the most reasonable answer is C (2.49).
</reasoning>
<answer>
C
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] C
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_10
step:10 - global_seqlen/min:14163 - global_seqlen/max:26060 - global_seqlen/minmax_diff:11897 - global_seqlen/balanced_min:18712 - global_seqlen/balanced_max:19099 - global_seqlen/mean:18761.375 - actor/entropy:0.47597649693489075 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.7415763139724731 - training/rollout_probs_diff_mean:0.005607969127595425 - training/rollout_probs_diff_std:0.012069297954440117 - training/rollout_actor_probs_pearson_corr:0.9991002678871155 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.7734375 - self_distillation/correct_sample_fraction:0.296875 - 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:0.999903678894043 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.5036615625140257e-05 - rollout_corr/rollout_is_max:1.965978980064392 - rollout_corr/rollout_is_min:0.19742274284362793 - rollout_corr/rollout_is_std:0.03998841717839241 - rollout_corr/rollout_is_eff_sample_size:0.9984030042277898 - rollout_corr/rollout_is_seq_mean:0.9999511241912842 - rollout_corr/rollout_is_seq_std:0.0025766082108020782 - rollout_corr/rollout_is_seq_max:1.008123755455017 - rollout_corr/rollout_is_seq_min:0.9903047680854797 - rollout_corr/rollout_is_seq_max_deviation:0.009695231914520264 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.67899210145697) - rollout_corr/training_log_ppl:np.float64(0.5075996979721822) - rollout_corr/kl:np.float64(0.0008633161575428705) - rollout_corr/k3_kl:np.float64(0.0009114048918377193) - rollout_corr/rollout_ppl:np.float64(1.6775279380381107) - rollout_corr/rollout_log_ppl:np.float64(0.5067363798152655) - rollout_corr/log_ppl_diff:np.float64(0.0008633181569166481) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021968886139802635) - rollout_corr/log_ppl_diff_max:np.float64(0.010740458965301514) - rollout_corr/log_ppl_diff_min:np.float64(-0.008011102676391602) - rollout_corr/ppl_ratio:np.float64(1.000867237802595) - rollout_corr/chi2_token:np.float64(0.001955550629645586) - rollout_corr/chi2_seq:np.float64(0.6110475764144212) - actor/pg_loss:np.float64(0.008315118844620883) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006162434947327711) - actor/ppo_kl:np.float64(-7.371878186646086e-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(0.296875) - self_distillation/token_reweight_w_mean:np.float64(61154.90416962118) - self_distillation/token_reweight_w_std:np.float64(1086673.487870453) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0078934647608548) - self_distillation/token_reweight_w_clip_frac:np.float64(0.2088699692103546) - self_distillation/empty_target_batch:np.float64(0.2265625) - actor/grad_norm:np.float64(0.5064633563160896) - perf/mfu/actor:np.float64(0.04507108621137307) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(197.69725799560547) - actor/lr:np.float64(9e-07) - val-aux/sciknoweval/reward/mean@16:np.float64(0.3025) - val-aux/sciknoweval/reward/std@16:np.float64(0.3142083590269627) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.43629999999999997) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.32482317222761753) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.17256) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.20891699967002722) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.30282) - val-aux/sci
step:11 - global_seqlen/min:19878 - global_seqlen/max:29749 - global_seqlen/minmax_diff:9871 - global_seqlen/balanced_min:22634 - global_seqlen/balanced_max:29409 - global_seqlen/mean:23573.125 - actor/entropy:0.4132035970687866 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3519445061683655 - training/rollout_probs_diff_mean:0.0046004424802958965 - training/rollout_probs_diff_std:0.010705293156206608 - training/rollout_actor_probs_pearson_corr:0.9992732405662537 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.76953125 - self_distillation/correct_sample_fraction:0.42578125 - 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:1.0000061988830566 - rollout_corr/rollout_is_ratio_fraction_high:9.613073416403495e-06 - rollout_corr/rollout_is_ratio_fraction_low:1.922614683280699e-05 - rollout_corr/rollout_is_max:2.170545816421509 - rollout_corr/rollout_is_min:0.29609596729278564 - rollout_corr/rollout_is_std:0.03640725463628769 - rollout_corr/rollout_is_eff_sample_size:0.9986762665024709 - rollout_corr/rollout_is_seq_mean:1.0000648498535156 - rollout_corr/rollout_is_seq_std:0.002408467000350356 - rollout_corr/rollout_is_seq_max:1.0085158348083496 - rollout_corr/rollout_is_seq_min:0.9925718903541565 - rollout_corr/rollout_is_seq_max_deviation:0.00851583480834961 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6400495143607259) - rollout_corr/training_log_ppl:np.float64(0.48171610439021606) - rollout_corr/kl:np.float64(0.0008449217568031742) - rollout_corr/k3_kl:np.float64(0.0008658878602432196) - rollout_corr/rollout_ppl:np.float64(1.6386342416517437) - rollout_corr/rollout_log_ppl:np.float64(0.4808711838850286) - rollout_corr/log_ppl_diff:np.float64(0.0008449205051874742) - rollout_corr/log_ppl_abs_diff:np.float64(0.001999393556616269) - rollout_corr/log_ppl_diff_max:np.float64(0.008769512176513672) - rollout_corr/log_ppl_diff_min:np.float64(-0.007282614707946777) - rollout_corr/ppl_ratio:np.float64(1.0008485354483128) - rollout_corr/chi2_token:np.float64(0.001798983896151185) - rollout_corr/chi2_seq:np.float64(1.4591931896284223) - actor/pg_loss:np.float64(0.009221029351465404) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006929661744834448) - actor/ppo_kl:np.float64(0.00010937049111703345) - 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(0.42578125) - self_distillation/token_reweight_w_mean:np.float64(4804.514788687695) - self_distillation/token_reweight_w_std:np.float64(100706.80984627793) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0012406844180077) - self_distillation/token_reweight_w_clip_frac:np.float64(0.19181303342338651) - self_distillation/empty_target_batch:np.float64(0.23046875) - actor/grad_norm:np.float64(0.4714777320623398) - perf/mfu/actor:np.float64(0.05300926662791261) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(201.26231002807617) - actor/lr:np.float64(1e-06) - training/global_step:11 - training/epoch:0 - critic/score/mean:0.42578125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.42578125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.05954578146338463 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.05954578146338463 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:406.34765625
step:12 - global_seqlen/min:18385 - global_seqlen/max:28317 - global_seqlen/minmax_diff:9932 - global_seqlen/balanced_min:23826 - global_seqlen/balanced_max:24194 - global_seqlen/mean:23876.125 - actor/entropy:0.46063926815986633 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.32935598492622375 - training/rollout_probs_diff_mean:0.004924152046442032 - training/rollout_probs_diff_std:0.010741683654487133 - training/rollout_actor_probs_pearson_corr:0.9992657899856567 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.8046875 - self_distillation/correct_sample_fraction:0.421875 - 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:0.9998393058776855 - rollout_corr/rollout_is_ratio_fraction_high:1.014270765153924e-05 - rollout_corr/rollout_is_ratio_fraction_low:3.0428123864112422e-05 - rollout_corr/rollout_is_max:2.115323066711426 - rollout_corr/rollout_is_min:0.31808769702911377 - rollout_corr/rollout_is_std:0.03753577917814255 - rollout_corr/rollout_is_eff_sample_size:0.9985926910884324 - rollout_corr/rollout_is_seq_mean:0.9997738003730774 - rollout_corr/rollout_is_seq_std:0.002363481791689992 - rollout_corr/rollout_is_seq_max:1.0073082447052002 - rollout_corr/rollout_is_seq_min:0.9929303526878357 - rollout_corr/rollout_is_seq_max_deviation:0.007308244705200195 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.667306321207434) - rollout_corr/training_log_ppl:np.float64(0.4998956560739316) - rollout_corr/kl:np.float64(0.0008017755705127527) - rollout_corr/k3_kl:np.float64(0.0007993293274353164) - rollout_corr/rollout_ppl:np.float64(1.6659347931854427) - rollout_corr/rollout_log_ppl:np.float64(0.4990938797709532) - rollout_corr/log_ppl_diff:np.float64(0.0008017763029783964) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019694457296282053) - rollout_corr/log_ppl_diff_max:np.float64(0.007415413856506348) - rollout_corr/log_ppl_diff_min:np.float64(-0.006106704473495483) - rollout_corr/ppl_ratio:np.float64(1.0008050745818764) - rollout_corr/chi2_token:np.float64(0.0016002452466636896) - rollout_corr/chi2_seq:np.float64(1.5330298303160816) - actor/pg_loss:np.float64(0.01018837618175894) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0005670921141245344) - actor/ppo_kl:np.float64(-0.0002125074469123689) - 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(0.421875) - self_distillation/token_reweight_w_mean:np.float64(41117.01144917286) - self_distillation/token_reweight_w_std:np.float64(729604.6371962249) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0022824390325695) - self_distillation/token_reweight_w_clip_frac:np.float64(0.20069699187297374) - self_distillation/empty_target_batch:np.float64(0.1953125) - actor/grad_norm:np.float64(0.49005672335624695) - perf/mfu/actor:np.float64(0.05639098111809849) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(201.36243438720703) - actor/lr:np.float64(1e-06) - training/global_step:12 - training/epoch:0 - critic/score/mean:0.421875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.421875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0004437434836290777 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0004437434836290777 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:385.12890625 - respons
step:13 - global_seqlen/min:16421 - global_seqlen/max:25900 - global_seqlen/minmax_diff:9479 - global_seqlen/balanced_min:20704 - global_seqlen/balanced_max:20711 - global_seqlen/mean:20708.875 - actor/entropy:0.4776025414466858 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.24135509133338928 - training/rollout_probs_diff_mean:0.005327445454895496 - training/rollout_probs_diff_std:0.011302385479211807 - training/rollout_actor_probs_pearson_corr:0.9992084503173828 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.82421875 - self_distillation/correct_sample_fraction:0.3203125 - 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:0.9999509453773499 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.1463814189482946e-05 - rollout_corr/rollout_is_max:1.5783871412277222 - rollout_corr/rollout_is_min:0.3131815791130066 - rollout_corr/rollout_is_std:0.03857112675905228 - rollout_corr/rollout_is_eff_sample_size:0.9985144781247381 - rollout_corr/rollout_is_seq_mean:0.9999363422393799 - rollout_corr/rollout_is_seq_std:0.002374144969508052 - rollout_corr/rollout_is_seq_max:1.0061818361282349 - rollout_corr/rollout_is_seq_min:0.9920371770858765 - rollout_corr/rollout_is_seq_max_deviation:0.007962822914123535 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6632360299117863) - rollout_corr/training_log_ppl:np.float64(0.4970624519046396) - rollout_corr/kl:np.float64(0.0008047310386665174) - rollout_corr/k3_kl:np.float64(0.0008303326969780755) - rollout_corr/rollout_ppl:np.float64(1.6619074558839202) - rollout_corr/rollout_log_ppl:np.float64(0.4962577171390876) - rollout_corr/log_ppl_diff:np.float64(0.0008047347655519843) - rollout_corr/log_ppl_abs_diff:np.float64(0.0018828000174835324) - rollout_corr/log_ppl_diff_max:np.float64(0.008822381496429443) - rollout_corr/log_ppl_diff_min:np.float64(-0.005275368690490723) - rollout_corr/ppl_ratio:np.float64(1.000807830831036) - rollout_corr/chi2_token:np.float64(0.0017302141059190035) - rollout_corr/chi2_seq:np.float64(0.6168705336749554) - actor/pg_loss:np.float64(0.00849684129934758) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007973982387738943) - actor/ppo_kl:np.float64(-6.118477535199673e-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(0.82421875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.82421875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.3203125) - self_distillation/token_reweight_w_mean:np.float64(35265.86888537393) - self_distillation/token_reweight_w_std:np.float64(622361.6682741044) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.006797220557928) - self_distillation/token_reweight_w_clip_frac:np.float64(0.21815393256838433) - self_distillation/empty_target_batch:np.float64(0.17578125) - actor/grad_norm:np.float64(0.5196256712079048) - perf/mfu/actor:np.float64(0.05029604712876614) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(201.29859161376953) - actor/lr:np.float64(1e-06) - training/global_step:13 - training/epoch:0 - critic/score/mean:0.3203125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.3203125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.011776203289628029 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.011776203289628029 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:340.74609375 - response_length/max:
step:14 - global_seqlen/min:15490 - global_seqlen/max:33772 - global_seqlen/minmax_diff:18282 - global_seqlen/balanced_min:21903 - global_seqlen/balanced_max:21936 - global_seqlen/mean:21923.375 - actor/entropy:0.44397908449172974 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.23033642768859863 - training/rollout_probs_diff_mean:0.004825624171644449 - training/rollout_probs_diff_std:0.010725203901529312 - training/rollout_actor_probs_pearson_corr:0.9992879629135132 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.75 - self_distillation/correct_sample_fraction:0.29296875 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.75 - rollout_corr/rollout_is_mean:1.000025987625122 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.0109690265380777e-05 - rollout_corr/rollout_is_max:1.7586177587509155 - rollout_corr/rollout_is_min:0.14063116908073425 - rollout_corr/rollout_is_std:0.03678187355399132 - rollout_corr/rollout_is_eff_sample_size:0.9986489216551941 - rollout_corr/rollout_is_seq_mean:0.9999697804450989 - rollout_corr/rollout_is_seq_std:0.0023032512981444597 - rollout_corr/rollout_is_seq_max:1.0063151121139526 - rollout_corr/rollout_is_seq_min:0.9938376545906067 - rollout_corr/rollout_is_seq_max_deviation:0.006315112113952637 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6474613510072231) - rollout_corr/training_log_ppl:np.float64(0.4857261731522158) - rollout_corr/kl:np.float64(0.0007369806717463234) - rollout_corr/k3_kl:np.float64(0.000849582680984895) - rollout_corr/rollout_ppl:np.float64(1.6462675756774843) - rollout_corr/rollout_log_ppl:np.float64(0.484989188000327) - rollout_corr/log_ppl_diff:np.float64(0.0007369851518888026) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020617938425857574) - rollout_corr/log_ppl_diff_max:np.float64(0.008909136056900024) - rollout_corr/log_ppl_diff_min:np.float64(-0.0077390968799591064) - rollout_corr/ppl_ratio:np.float64(1.0007406633812934) - rollout_corr/chi2_token:np.float64(0.0019566912669688463) - rollout_corr/chi2_seq:np.float64(1.2719929860904813) - actor/pg_loss:np.float64(0.008388595771975815) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.00056596449621793) - actor/ppo_kl:np.float64(-7.312906656409268e-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(0.75) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.75) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.29296875) - self_distillation/token_reweight_w_mean:np.float64(34162.489921058295) - self_distillation/token_reweight_w_std:np.float64(530391.0706189828) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.006006008014083) - self_distillation/token_reweight_w_clip_frac:np.float64(0.19466896940139122) - self_distillation/empty_target_batch:np.float64(0.25) - actor/grad_norm:np.float64(0.43929925560951233) - perf/mfu/actor:np.float64(0.052392346982771475) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(201.10105514526367) - actor/lr:np.float64(1e-06) - training/global_step:14 - training/epoch:0 - critic/score/mean:0.29296875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.29296875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0008782793302088976 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0008782793302088976 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:386.38671875 - response_length/max:1619.0 - response_l
step:15 - global_seqlen/min:17084 - global_seqlen/max:25266 - global_seqlen/minmax_diff:8182 - global_seqlen/balanced_min:19670 - global_seqlen/balanced_max:19687 - global_seqlen/mean:19681.5 - actor/entropy:0.5048806071281433 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2852863371372223 - training/rollout_probs_diff_mean:0.005556733813136816 - training/rollout_probs_diff_std:0.0113645875826478 - training/rollout_actor_probs_pearson_corr:0.9991916418075562 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.75390625 - 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:0.75390625 - rollout_corr/rollout_is_mean:1.0000077486038208 - rollout_corr/rollout_is_ratio_fraction_high:1.2108296687074471e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.285754442214966 - rollout_corr/rollout_is_min:0.5329305529594421 - rollout_corr/rollout_is_std:0.03878533095121384 - rollout_corr/rollout_is_eff_sample_size:0.9984979575007318 - rollout_corr/rollout_is_seq_mean:1.0000890493392944 - rollout_corr/rollout_is_seq_std:0.0022774795070290565 - rollout_corr/rollout_is_seq_max:1.007437825202942 - rollout_corr/rollout_is_seq_min:0.9928779602050781 - rollout_corr/rollout_is_seq_max_deviation:0.0074378252029418945 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.7272440576925874) - rollout_corr/training_log_ppl:np.float64(0.5358740043593571) - rollout_corr/kl:np.float64(0.0008740120214412173) - rollout_corr/k3_kl:np.float64(0.0008694112475495785) - rollout_corr/rollout_ppl:np.float64(1.7256188867613673) - rollout_corr/rollout_log_ppl:np.float64(0.5349999887403101) - rollout_corr/log_ppl_diff:np.float64(0.0008740156190469861) - rollout_corr/log_ppl_abs_diff:np.float64(0.0019992778543382883) - rollout_corr/log_ppl_diff_max:np.float64(0.008453011512756348) - rollout_corr/log_ppl_diff_min:np.float64(-0.00622972846031189) - rollout_corr/ppl_ratio:np.float64(1.000877300510183) - rollout_corr/chi2_token:np.float64(0.0017548007890582085) - rollout_corr/chi2_seq:np.float64(0.40972969960421324) - actor/pg_loss:np.float64(0.007485751644708216) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0006225892097972974) - actor/ppo_kl:np.float64(0.000151493788763446) - 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(0.75390625) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.75390625) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.3671875) - self_distillation/token_reweight_w_mean:np.float64(30712.322506404947) - self_distillation/token_reweight_w_std:np.float64(526423.1995366343) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.004842618945986) - self_distillation/token_reweight_w_clip_frac:np.float64(0.187502094428055) - self_distillation/empty_target_batch:np.float64(0.24609375) - actor/grad_norm:np.float64(0.46229737251996994) - perf/mfu/actor:np.float64(0.04804320165645968) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(202.12303161621094) - actor/lr:np.float64(1e-06) - training/global_step:15 - training/epoch:1 - 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:-0.0032677266281098127 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0032677266281098127 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:322.609375 - response_length/max:1081
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step:19 - global_seqlen/min:15635 - global_seqlen/max:25097 - global_seqlen/minmax_diff:9462 - global_seqlen/balanced_min:20058 - global_seqlen/balanced_max:20486 - global_seqlen/mean:20113.5 - actor/entropy:0.47090667486190796 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.21561288833618164 - training/rollout_probs_diff_mean:0.0057164705358445644 - training/rollout_probs_diff_std:0.011928950436413288 - training/rollout_actor_probs_pearson_corr:0.9991148710250854 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.76171875 - self_distillation/correct_sample_fraction:0.3828125 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.76171875 - rollout_corr/rollout_is_mean:0.9999209642410278 - rollout_corr/rollout_is_ratio_fraction_high:1.1814186109404545e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:2.091331720352173 - rollout_corr/rollout_is_min:0.6094146966934204 - rollout_corr/rollout_is_std:0.039958592504262924 - rollout_corr/rollout_is_eff_sample_size:0.9984056184691176 - rollout_corr/rollout_is_seq_mean:0.9998630285263062 - rollout_corr/rollout_is_seq_std:0.002485917881131172 - rollout_corr/rollout_is_seq_max:1.0072880983352661 - rollout_corr/rollout_is_seq_min:0.9917079210281372 - rollout_corr/rollout_is_seq_max_deviation:0.008292078971862793 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.644785768352449) - rollout_corr/training_log_ppl:np.float64(0.48851912398822606) - rollout_corr/kl:np.float64(0.0009973215278713532) - rollout_corr/k3_kl:np.float64(0.0009430778742398616) - rollout_corr/rollout_ppl:np.float64(1.6430969191715121) - rollout_corr/rollout_log_ppl:np.float64(0.4875218014931306) - rollout_corr/log_ppl_diff:np.float64(0.0009973224950954318) - rollout_corr/log_ppl_abs_diff:np.float64(0.002121600671671331) - rollout_corr/log_ppl_diff_max:np.float64(0.009614884853363037) - rollout_corr/log_ppl_diff_min:np.float64(-0.00788038969039917) - rollout_corr/ppl_ratio:np.float64(1.0010012907441705) - rollout_corr/chi2_token:np.float64(0.001794034382328391) - rollout_corr/chi2_seq:np.float64(0.8907242745626718) - actor/pg_loss:np.float64(0.009201137232594192) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008604836850736319) - actor/ppo_kl:np.float64(-4.0184713014923545e-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(0.76171875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.76171875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.3828125) - self_distillation/token_reweight_w_mean:np.float64(32568.39766512066) - self_distillation/token_reweight_w_std:np.float64(623905.8605569799) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0034110613632947) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1873939734941814) - self_distillation/empty_target_batch:np.float64(0.23828125) - actor/grad_norm:np.float64(0.5041789636015892) - perf/mfu/actor:np.float64(0.04822362737420109) - perf/max_memory_allocated_gb:np.float64(134.80358123779297) - perf/max_memory_reserved_gb:np.float64(149.30859375) - perf/cpu_memory_used_gb:np.float64(201.6483497619629) - actor/lr:np.float64(1e-06) - training/global_step:19 - training/epoch:1 - critic/score/mean:0.3828125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.3828125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.02114739455282688 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.02114739455282688 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:330.640625 - response_length/max:1616.
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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
The folding stability score of a protein sequence is typically determined through computational methods such as energy minimization, molecular dynamics simulations, or machine learning models trained on known protein structures. These methods evaluate the likelihood of a protein folding into a stable, functional conformation based on factors like hydrogen bonding, hydrophobic interactions, and secondary structure formation.

Given that the question provides a specific protein sequence and asks for a folding stability score, we must infer the correct answer based on typical values for such scores. Folding stability scores are often reported on a scale where negative values indicate instability and positive values indicate greater stability. Among the given options, the most reasonable and commonly observed value for a protein sequence with a moderate level of stability would be **1.69**.

Therefore, the correct answer is **B**.
</reasoning>
<answer>
B
</answer>
[ground_truth] B
[score] 1.0
[acc] 1.0
[pred] B
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_20
step:20 - global_seqlen/min:14412 - global_seqlen/max:30620 - global_seqlen/minmax_diff:16208 - global_seqlen/balanced_min:21182 - global_seqlen/balanced_max:27867 - global_seqlen/mean:22595.875 - actor/entropy:0.42691105604171753 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.21057669818401337 - training/rollout_probs_diff_mean:0.00484515680000186 - training/rollout_probs_diff_std:0.010859712958335876 - training/rollout_actor_probs_pearson_corr:0.999250054359436 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83203125 - self_distillation/correct_sample_fraction:0.37890625 - 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:0.9997731447219849 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.9884075300069526e-05 - rollout_corr/rollout_is_max:1.6617965698242188 - rollout_corr/rollout_is_min:0.2997890114784241 - rollout_corr/rollout_is_std:0.036396611481904984 - rollout_corr/rollout_is_eff_sample_size:0.9986763853963808 - rollout_corr/rollout_is_seq_mean:0.9996659755706787 - rollout_corr/rollout_is_seq_std:0.0021870434284210205 - rollout_corr/rollout_is_seq_max:1.0057438611984253 - rollout_corr/rollout_is_seq_min:0.9915841221809387 - rollout_corr/rollout_is_seq_max_deviation:0.00841587781906128 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6964317760430276) - rollout_corr/training_log_ppl:np.float64(0.5197410888431477) - rollout_corr/kl:np.float64(0.0009075633603430333) - rollout_corr/k3_kl:np.float64(0.0008967669461696914) - rollout_corr/rollout_ppl:np.float64(1.6948677045293152) - rollout_corr/rollout_log_ppl:np.float64(0.5188335263665067) - rollout_corr/log_ppl_diff:np.float64(0.0009075624766410328) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020453127726796083) - rollout_corr/log_ppl_diff_max:np.float64(0.010220468044281006) - rollout_corr/log_ppl_diff_min:np.float64(-0.005238473415374756) - rollout_corr/ppl_ratio:np.float64(1.0009110185783356) - rollout_corr/chi2_token:np.float64(0.0018275347538292408) - rollout_corr/chi2_seq:np.float64(0.5847274619154632) - actor/pg_loss:np.float64(0.010421653045341372) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007143971079131006) - actor/ppo_kl:np.float64(-0.00023351565544871278) - 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(0.37890625) - self_distillation/token_reweight_w_mean:np.float64(22940.386835711543) - self_distillation/token_reweight_w_std:np.float64(348380.7681167661) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0041218136902899) - self_distillation/token_reweight_w_clip_frac:np.float64(0.22477550763142062) - self_distillation/empty_target_batch:np.float64(0.16796875) - actor/grad_norm:np.float64(0.5363280698657036) - perf/mfu/actor:np.float64(0.050816591898341784) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(201.65056610107422) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.3675) - val-aux/sciknoweval/reward/std@16:np.float64(0.34553995156018635) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.51764) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.3286702215225457) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.21756) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.25970357156636786) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.3671399999999
step:21 - global_seqlen/min:14483 - global_seqlen/max:22990 - global_seqlen/minmax_diff:8507 - global_seqlen/balanced_min:19046 - global_seqlen/balanced_max:19055 - global_seqlen/mean:19052.875 - actor/entropy:0.5120877623558044 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.1840621531009674 - training/rollout_probs_diff_mean:0.005876380018889904 - training/rollout_probs_diff_std:0.01167724933475256 - training/rollout_actor_probs_pearson_corr:0.9991423487663269 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.79296875 - self_distillation/correct_sample_fraction:0.4140625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.79296875 - rollout_corr/rollout_is_mean:1.0001429319381714 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.2423131920513697e-05 - rollout_corr/rollout_is_max:1.5040106773376465 - rollout_corr/rollout_is_min:0.40624791383743286 - rollout_corr/rollout_is_std:0.04042573645710945 - rollout_corr/rollout_is_eff_sample_size:0.9983687826948624 - rollout_corr/rollout_is_seq_mean:1.0001145601272583 - rollout_corr/rollout_is_seq_std:0.002321508713066578 - rollout_corr/rollout_is_seq_max:1.0061085224151611 - rollout_corr/rollout_is_seq_min:0.9920489192008972 - rollout_corr/rollout_is_seq_max_deviation:0.007951080799102783 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6984184235334396) - rollout_corr/training_log_ppl:np.float64(0.5222156696254387) - rollout_corr/kl:np.float64(0.0009260044083276853) - rollout_corr/k3_kl:np.float64(0.0009265095248451871) - rollout_corr/rollout_ppl:np.float64(1.696846168488264) - rollout_corr/rollout_log_ppl:np.float64(0.5212896637967788) - rollout_corr/log_ppl_diff:np.float64(0.0009260058286599815) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021170968539081514) - rollout_corr/log_ppl_diff_max:np.float64(0.008951246738433838) - rollout_corr/log_ppl_diff_min:np.float64(-0.005579054355621338) - rollout_corr/ppl_ratio:np.float64(1.0009295963682234) - rollout_corr/chi2_token:np.float64(0.0018469667993485928) - rollout_corr/chi2_seq:np.float64(0.6196231204085052) - actor/pg_loss:np.float64(0.007685429649427533) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000788077480137872) - actor/ppo_kl:np.float64(0.00019138877772206797) - 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(0.79296875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.79296875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4140625) - self_distillation/token_reweight_w_mean:np.float64(15467.604913280811) - self_distillation/token_reweight_w_std:np.float64(268551.2451789037) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0037785940803587) - self_distillation/token_reweight_w_clip_frac:np.float64(0.19150046835420653) - self_distillation/empty_target_batch:np.float64(0.20703125) - actor/grad_norm:np.float64(0.4531072974205017) - perf/mfu/actor:np.float64(0.046303095723849996) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.82554244995117) - actor/lr:np.float64(1e-06) - training/global_step:21 - training/epoch:1 - critic/score/mean:0.4140625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.4140625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.00038356418372131884 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.00038356418372131884 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:314.43359375 - response_length
step:22 - global_seqlen/min:18594 - global_seqlen/max:28185 - global_seqlen/minmax_diff:9591 - global_seqlen/balanced_min:22499 - global_seqlen/balanced_max:22520 - global_seqlen/mean:22505.625 - actor/entropy:0.4973858594894409 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.5542013049125671 - training/rollout_probs_diff_mean:0.005480976775288582 - training/rollout_probs_diff_std:0.011348037049174309 - training/rollout_actor_probs_pearson_corr:0.9992117285728455 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.859375 - self_distillation/correct_sample_fraction:0.4296875 - 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:1.0000638961791992 - rollout_corr/rollout_is_ratio_fraction_high:1.095662264560815e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.095662264560815e-05 - rollout_corr/rollout_is_max:3.4903404712677 - rollout_corr/rollout_is_min:0.29839155077934265 - rollout_corr/rollout_is_std:0.03946327418088913 - rollout_corr/rollout_is_eff_sample_size:0.9984451902484637 - rollout_corr/rollout_is_seq_mean:1.0000715255737305 - rollout_corr/rollout_is_seq_std:0.0023582447320222855 - rollout_corr/rollout_is_seq_max:1.006727933883667 - rollout_corr/rollout_is_seq_min:0.9927475452423096 - rollout_corr/rollout_is_seq_max_deviation:0.00725245475769043 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6967427376657724) - rollout_corr/training_log_ppl:np.float64(0.5204585177707486) - rollout_corr/kl:np.float64(0.0009738926087301536) - rollout_corr/k3_kl:np.float64(0.0009308744723739437) - rollout_corr/rollout_ppl:np.float64(1.6951308120042086) - rollout_corr/rollout_log_ppl:np.float64(0.5194846225786023) - rollout_corr/log_ppl_diff:np.float64(0.0009738951921463013) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020332636777311563) - rollout_corr/log_ppl_diff_max:np.float64(0.008866548538208008) - rollout_corr/log_ppl_diff_min:np.float64(-0.005231022834777832) - rollout_corr/ppl_ratio:np.float64(1.0009775443468243) - rollout_corr/chi2_token:np.float64(0.001786800567060709) - rollout_corr/chi2_seq:np.float64(0.5120338518172503) - actor/pg_loss:np.float64(0.010984312975779176) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007735706917628704) - actor/ppo_kl:np.float64(0.00020683866064885592) - 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(0.859375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.859375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4296875) - self_distillation/token_reweight_w_mean:np.float64(8344.419405999593) - self_distillation/token_reweight_w_std:np.float64(158612.5904527451) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0037203771062195) - self_distillation/token_reweight_w_clip_frac:np.float64(0.2241530851169955) - self_distillation/empty_target_batch:np.float64(0.140625) - actor/grad_norm:np.float64(0.5577966943383217) - perf/mfu/actor:np.float64(0.05420531182612104) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.53710174560547) - actor/lr:np.float64(1e-06) - training/global_step:22 - training/epoch:1 - critic/score/mean:0.4296875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.4296875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.012328939512372017 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.012328939512372017 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:356.51953125 - response_length/ma
step:23 - global_seqlen/min:18388 - global_seqlen/max:29877 - global_seqlen/minmax_diff:11489 - global_seqlen/balanced_min:22176 - global_seqlen/balanced_max:28830 - global_seqlen/mean:23014.375 - actor/entropy:0.44951191544532776 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.505251944065094 - training/rollout_probs_diff_mean:0.005099051166325808 - training/rollout_probs_diff_std:0.011282109655439854 - training/rollout_actor_probs_pearson_corr:0.9992111325263977 - self_distillation/success_group_fraction:0.6875 - self_distillation/success_sample_fraction:0.6796875 - self_distillation/correct_sample_fraction:0.33984375 - 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:0.999826192855835 - rollout_corr/rollout_is_ratio_fraction_high:1.0166424544877373e-05 - rollout_corr/rollout_is_ratio_fraction_low:2.0332849089754745e-05 - rollout_corr/rollout_is_max:2.010528087615967 - rollout_corr/rollout_is_min:0.35777750611305237 - rollout_corr/rollout_is_std:0.037814222276210785 - rollout_corr/rollout_is_eff_sample_size:0.9985717697032809 - rollout_corr/rollout_is_seq_mean:0.9998192191123962 - rollout_corr/rollout_is_seq_std:0.0022390682715922594 - rollout_corr/rollout_is_seq_max:1.007559895515442 - rollout_corr/rollout_is_seq_min:0.9938457608222961 - rollout_corr/rollout_is_seq_max_deviation:0.0075598955154418945 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6801493726670742) - rollout_corr/training_log_ppl:np.float64(0.5111657797133375) - rollout_corr/kl:np.float64(0.0012937965818515806) - rollout_corr/k3_kl:np.float64(0.0009380410455719357) - rollout_corr/rollout_ppl:np.float64(1.6778879221528769) - rollout_corr/rollout_log_ppl:np.float64(0.5098719815941877) - rollout_corr/log_ppl_diff:np.float64(0.0012937981191498693) - rollout_corr/log_ppl_abs_diff:np.float64(0.0021350611023081) - rollout_corr/log_ppl_diff_max:np.float64(0.009157359600067139) - rollout_corr/log_ppl_diff_min:np.float64(-0.006571829319000244) - rollout_corr/ppl_ratio:np.float64(1.0012975032441318) - rollout_corr/chi2_token:np.float64(0.0011514842044562101) - rollout_corr/chi2_seq:np.float64(0.5593507506418973) - actor/pg_loss:np.float64(0.007840548758395016) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008452609945379663) - actor/ppo_kl:np.float64(0.00028594181592467294) - 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(0.33984375) - self_distillation/token_reweight_w_mean:np.float64(7624.458969130879) - self_distillation/token_reweight_w_std:np.float64(171420.9914759735) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.002567195566371) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17762680785381235) - self_distillation/empty_target_batch:np.float64(0.3203125) - actor/grad_norm:np.float64(0.44826125353574753) - perf/mfu/actor:np.float64(0.05091760317287464) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(201.82965469360352) - actor/lr:np.float64(1e-06) - training/global_step:23 - training/epoch:1 - critic/score/mean:0.33984375 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.33984375 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.019520806148648262 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.019520806148648262 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:384.23046875 -
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step:29 - global_seqlen/min:15203 - global_seqlen/max:22647 - global_seqlen/minmax_diff:7444 - global_seqlen/balanced_min:19201 - global_seqlen/balanced_max:19468 - global_seqlen/mean:19238.125 - actor/entropy:0.48344773054122925 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.353477418422699 - training/rollout_probs_diff_mean:0.006384729873389006 - training/rollout_probs_diff_std:0.01290085818618536 - training/rollout_actor_probs_pearson_corr:0.998953640460968 - self_distillation/success_group_fraction:0.90625 - self_distillation/success_sample_fraction:0.890625 - 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:0.890625 - rollout_corr/rollout_is_mean:1.0000580549240112 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:5.100934868096374e-05 - rollout_corr/rollout_is_max:1.8041176795959473 - rollout_corr/rollout_is_min:0.3592689335346222 - rollout_corr/rollout_is_std:0.04326458275318146 - rollout_corr/rollout_is_eff_sample_size:0.9981319104440246 - rollout_corr/rollout_is_seq_mean:1.0001035928726196 - rollout_corr/rollout_is_seq_std:0.0025487877428531647 - rollout_corr/rollout_is_seq_max:1.0069139003753662 - rollout_corr/rollout_is_seq_min:0.9937771558761597 - rollout_corr/rollout_is_seq_max_deviation:0.006913900375366211 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6430399301461875) - rollout_corr/training_log_ppl:np.float64(0.4894179511175025) - rollout_corr/kl:np.float64(0.001021881831787752) - rollout_corr/k3_kl:np.float64(0.0010562381066279158) - rollout_corr/rollout_ppl:np.float64(1.641366011928767) - rollout_corr/rollout_log_ppl:np.float64(0.48839606769615784) - rollout_corr/log_ppl_diff:np.float64(0.0010218834213446826) - rollout_corr/log_ppl_abs_diff:np.float64(0.0022649977181572467) - rollout_corr/log_ppl_diff_max:np.float64(0.011546403169631958) - rollout_corr/log_ppl_diff_min:np.float64(-0.0058746337890625) - rollout_corr/ppl_ratio:np.float64(1.0010259815026075) - rollout_corr/chi2_token:np.float64(0.002216867869719863) - rollout_corr/chi2_seq:np.float64(0.5971095731947571) - actor/pg_loss:np.float64(0.0148409673711285) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000948047128986218) - actor/ppo_kl:np.float64(0.0001435367357309758) - 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(0.890625) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.890625) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4375) - self_distillation/token_reweight_w_mean:np.float64(16616.868872509338) - self_distillation/token_reweight_w_std:np.float64(288701.20495704864) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.005621918477118) - self_distillation/token_reweight_w_clip_frac:np.float64(0.24011366692138836) - self_distillation/empty_target_batch:np.float64(0.109375) - actor/grad_norm:np.float64(0.5514515414834023) - perf/mfu/actor:np.float64(0.04641049529807512) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(201.83461380004883) - actor/lr:np.float64(1e-06) - training/global_step:29 - training/epoch:2 - 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:0.0015844778390601277 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0015844778390601277 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:306.31640625 - response_length/max:1234.0 - response_length/mi
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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the given protein sequence, we need to evaluate the overall structural and energetic properties of the protein. Folding stability scores are typically derived from computational methods that assess the likelihood of a protein folding into its native conformation based on amino acid composition, secondary structure propensity, and other physicochemical properties.

The sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR' contains a mix of hydrophobic and hydrophilic amino acids, which can influence folding stability. However, without direct computation or access to a specific scoring algorithm, we can infer based on the sequence's characteristics.

The presence of multiple charged residues (e.g., lysine, arginine, glutamic acid) and a relatively high proportion of polar amino acids may suggest a less stable folding environment, as these residues can lead to electrostatic repulsion or reduced hydrophobic core formation. However, the presence of some hydrophobic residues (e.g., glycine, serine, tryptophan) may contribute to some degree of stability.

Given the options, the most reasonable estimate for a folding stability score would be a moderate value, neither extremely negative nor extremely positive. Among the provided choices, option B (1.69) represents a moderate positive value, suggesting a relatively stable folding environment, which is consistent with the sequence's composition.

</reasoning>
<answer>
B
</answer>
[ground_truth] B
[score] 1.0
[acc] 1.0
[pred] B
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_30
step:30 - global_seqlen/min:16427 - global_seqlen/max:25363 - global_seqlen/minmax_diff:8936 - global_seqlen/balanced_min:20071 - global_seqlen/balanced_max:20179 - global_seqlen/mean:20092.5 - actor/entropy:0.493918776512146 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.1742207407951355 - training/rollout_probs_diff_mean:0.0060681733302772045 - training/rollout_probs_diff_std:0.012186025269329548 - training/rollout_actor_probs_pearson_corr:0.9990466237068176 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.7421875 - self_distillation/correct_sample_fraction:0.42578125 - 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:1.0000113248825073 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.768505573272705 - rollout_corr/rollout_is_min:0.5041154026985168 - rollout_corr/rollout_is_std:0.04171591252088547 - rollout_corr/rollout_is_eff_sample_size:0.9982628058862296 - rollout_corr/rollout_is_seq_mean:1.0000231266021729 - rollout_corr/rollout_is_seq_std:0.002335590310394764 - rollout_corr/rollout_is_seq_max:1.0094752311706543 - rollout_corr/rollout_is_seq_min:0.9928362965583801 - rollout_corr/rollout_is_seq_max_deviation:0.009475231170654297 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.677387180738151) - rollout_corr/training_log_ppl:np.float64(0.5095777458627708) - rollout_corr/kl:np.float64(0.0010656633592986964) - rollout_corr/k3_kl:np.float64(0.0010183820149904932) - rollout_corr/rollout_ppl:np.float64(1.6755933612585068) - rollout_corr/rollout_log_ppl:np.float64(0.5085120819858275) - rollout_corr/log_ppl_diff:np.float64(0.0010656638769432902) - rollout_corr/log_ppl_abs_diff:np.float64(0.0020819585770368576) - rollout_corr/log_ppl_diff_max:np.float64(0.008295953273773193) - rollout_corr/log_ppl_diff_min:np.float64(-0.008558869361877441) - rollout_corr/ppl_ratio:np.float64(1.0010692360810935) - rollout_corr/chi2_token:np.float64(0.0019709025509655476) - rollout_corr/chi2_seq:np.float64(0.5447194008156657) - actor/pg_loss:np.float64(0.01119235239457339) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007738353790500696) - actor/ppo_kl:np.float64(0.0001763532315237626) - 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(0.42578125) - self_distillation/token_reweight_w_mean:np.float64(12927.568906920962) - self_distillation/token_reweight_w_std:np.float64(248859.6214018159) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0012700511142612) - self_distillation/token_reweight_w_clip_frac:np.float64(0.21296004866599105) - self_distillation/empty_target_batch:np.float64(0.2578125) - actor/grad_norm:np.float64(0.5157803595066071) - perf/mfu/actor:np.float64(0.048999916451758774) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(201.89230728149414) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.36375) - val-aux/sciknoweval/reward/std@16:np.float64(0.3439600412634843) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.5123) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.3215447298393228) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.21533999999999998) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.26134794614231943) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.36513999999999996) - val-aux/sciknowev
step:31 - global_seqlen/min:16509 - global_seqlen/max:25877 - global_seqlen/minmax_diff:9368 - global_seqlen/balanced_min:19842 - global_seqlen/balanced_max:19850 - global_seqlen/mean:19847.875 - actor/entropy:0.46630626916885376 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.18102285265922546 - training/rollout_probs_diff_mean:0.006234156899154186 - training/rollout_probs_diff_std:0.01267819944769144 - training/rollout_actor_probs_pearson_corr:0.998958170413971 - self_distillation/success_group_fraction:0.625 - self_distillation/success_sample_fraction:0.60546875 - self_distillation/correct_sample_fraction:0.31640625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.60546875 - rollout_corr/rollout_is_mean:1.000218152999878 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.778808832168579 - rollout_corr/rollout_is_min:0.5478630661964417 - rollout_corr/rollout_is_std:0.042811714112758636 - rollout_corr/rollout_is_eff_sample_size:0.9981713417553787 - rollout_corr/rollout_is_seq_mean:1.000227451324463 - rollout_corr/rollout_is_seq_std:0.0026660594157874584 - rollout_corr/rollout_is_seq_max:1.0059154033660889 - rollout_corr/rollout_is_seq_min:0.9907479882240295 - rollout_corr/rollout_is_seq_max_deviation:0.009252011775970459 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6235858551226556) - rollout_corr/training_log_ppl:np.float64(0.47780306957429275) - rollout_corr/kl:np.float64(0.0009481541051883369) - rollout_corr/k3_kl:np.float64(0.0011065828289247293) - rollout_corr/rollout_ppl:np.float64(1.6220748396590352) - rollout_corr/rollout_log_ppl:np.float64(0.4768549154396169) - rollout_corr/log_ppl_diff:np.float64(0.0009481541346758604) - rollout_corr/log_ppl_abs_diff:np.float64(0.0023901162203401327) - rollout_corr/log_ppl_diff_max:np.float64(0.008728623390197754) - rollout_corr/log_ppl_diff_min:np.float64(-0.0058653950691223145) - rollout_corr/ppl_ratio:np.float64(1.0009525464847684) - rollout_corr/chi2_token:np.float64(0.0025139120407402515) - rollout_corr/chi2_seq:np.float64(0.7535167471505702) - actor/pg_loss:np.float64(0.005722168716602027) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0012057437961630058) - actor/ppo_kl:np.float64(0.0002287827413596233) - 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(0.60546875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.60546875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.31640625) - self_distillation/token_reweight_w_mean:np.float64(35464.82859730418) - self_distillation/token_reweight_w_std:np.float64(573582.2694413096) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0045762308873236) - self_distillation/token_reweight_w_clip_frac:np.float64(0.13131537244771607) - self_distillation/empty_target_batch:np.float64(0.39453125) - actor/grad_norm:np.float64(0.37259600311517715) - perf/mfu/actor:np.float64(0.04827067544683741) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.56623077392578) - actor/lr:np.float64(1e-06) - training/global_step:31 - training/epoch:2 - critic/score/mean:0.31640625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.31640625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.00029190664645284414 - critic/advantages/max:0.875 - critic/advantages/min:-0.75 - critic/returns/mean:-0.00029190664645284414 - critic/returns/max:0.875 - critic/returns/min:-0.75 - response_length/mean:297.74609375 - response_length/max:893.0 - re
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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': 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the given protein sequence, we need to evaluate the likelihood of the protein forming a stable, functional structure. This involves assessing the amino acid composition, secondary structure potential, and overall hydrophobicity/hydrophilicity balance.

The sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR' contains a mix of hydrophilic and hydrophobic residues. However, it also includes several charged residues (like lysine, arginine, and glutamic acid) and repetitive patterns, which may indicate regions of high flexibility or potential for forming structured domains.

A folding stability score typically ranges from negative (unstable) to positive (stable). A score of -0.01 suggests minimal instability, which is not very informative. A score of 1.69 indicates moderate stability, while 2.49 suggests a high degree of stability. A score of 0.45 is relatively low but still positive, suggesting some stability.

Given the presence of multiple charged residues and a relatively long sequence, the score is more likely to be higher than 0.45 but not extremely high. A score of 1.69 is reasonable for a sequence that may form some stable secondary structures but is not fully folded or highly stable.

Therefore, the most reasonable answer is B: 1.69.
</reasoning>
<answer>
B
</answer>
[ground_truth] B
[score] 1.0
[acc] 1.0
[pred] B
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_40
step:40 - global_seqlen/min:16924 - global_seqlen/max:22815 - global_seqlen/minmax_diff:5891 - global_seqlen/balanced_min:19431 - global_seqlen/balanced_max:19444 - global_seqlen/mean:19439.125 - actor/entropy:0.44513219594955444 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.19883915781974792 - training/rollout_probs_diff_mean:0.006402170285582542 - training/rollout_probs_diff_std:0.013032508082687855 - training/rollout_actor_probs_pearson_corr:0.9988617300987244 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.8203125 - self_distillation/correct_sample_fraction:0.4453125 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.8203125 - rollout_corr/rollout_is_mean:0.9999405145645142 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.341039842372993e-05 - rollout_corr/rollout_is_max:1.5872390270233154 - rollout_corr/rollout_is_min:0.37882742285728455 - rollout_corr/rollout_is_std:0.04299648478627205 - rollout_corr/rollout_is_eff_sample_size:0.9981545949443588 - rollout_corr/rollout_is_seq_mean:0.9998748898506165 - rollout_corr/rollout_is_seq_std:0.002650556853041053 - rollout_corr/rollout_is_seq_max:1.0072165727615356 - rollout_corr/rollout_is_seq_min:0.9915069341659546 - rollout_corr/rollout_is_seq_max_deviation:0.00849306583404541 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5746450014412403) - rollout_corr/training_log_ppl:np.float64(0.44897763611515984) - rollout_corr/kl:np.float64(0.0011384600795034672) - rollout_corr/k3_kl:np.float64(0.0011895181490899631) - rollout_corr/rollout_ppl:np.float64(1.5728909838944674) - rollout_corr/rollout_log_ppl:np.float64(0.44783917599124834) - rollout_corr/log_ppl_diff:np.float64(0.0011384601239115) - rollout_corr/log_ppl_abs_diff:np.float64(0.0024658453185111284) - rollout_corr/log_ppl_diff_max:np.float64(0.009177625179290771) - rollout_corr/log_ppl_diff_min:np.float64(-0.009199351072311401) - rollout_corr/ppl_ratio:np.float64(1.0011434056796134) - rollout_corr/chi2_token:np.float64(0.002606436377391219) - rollout_corr/chi2_seq:np.float64(2.0256223927717656) - actor/pg_loss:np.float64(0.01009189069736749) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0011032083666577819) - actor/ppo_kl:np.float64(6.541757507250168e-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(0.8203125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.8203125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4453125) - self_distillation/token_reweight_w_mean:np.float64(38846.50039524678) - self_distillation/token_reweight_w_std:np.float64(629609.1893131913) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0045572421513498) - self_distillation/token_reweight_w_clip_frac:np.float64(0.19737870804965496) - self_distillation/empty_target_batch:np.float64(0.1796875) - actor/grad_norm:np.float64(0.4980562701821327) - perf/mfu/actor:np.float64(0.04722880308717044) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.4748306274414) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.4125) - val-aux/sciknoweval/reward/std@16:np.float64(0.34117903969277913) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.55796) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.30197247322095855) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.26738) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.2766511209522595) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.41253999999999996) - val-aux/
step:41 - global_seqlen/min:15408 - global_seqlen/max:22983 - global_seqlen/minmax_diff:7575 - global_seqlen/balanced_min:20422 - global_seqlen/balanced_max:20494 - global_seqlen/mean:20432.625 - actor/entropy:0.45965611934661865 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2413528561592102 - training/rollout_probs_diff_mean:0.006295996252447367 - training/rollout_probs_diff_std:0.012785677798092365 - training/rollout_actor_probs_pearson_corr:0.9989537000656128 - self_distillation/success_group_fraction:0.875 - self_distillation/success_sample_fraction:0.85546875 - self_distillation/correct_sample_fraction:0.45703125 - 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:1.0001287460327148 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.9511066675186157 - rollout_corr/rollout_is_min:0.5370932221412659 - rollout_corr/rollout_is_std:0.042504314333200455 - rollout_corr/rollout_is_eff_sample_size:0.9981972350941091 - rollout_corr/rollout_is_seq_mean:1.0001194477081299 - rollout_corr/rollout_is_seq_std:0.002400510711595416 - rollout_corr/rollout_is_seq_max:1.0069642066955566 - rollout_corr/rollout_is_seq_min:0.9941142201423645 - rollout_corr/rollout_is_seq_max_deviation:0.006964206695556641 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6045056390576065) - rollout_corr/training_log_ppl:np.float64(0.4663193255546503) - rollout_corr/kl:np.float64(0.0011170693861970449) - rollout_corr/k3_kl:np.float64(0.0010359886136939167) - rollout_corr/rollout_ppl:np.float64(1.6027684807777405) - rollout_corr/rollout_log_ppl:np.float64(0.46520225348649547) - rollout_corr/log_ppl_diff:np.float64(0.0011170720681548119) - rollout_corr/log_ppl_abs_diff:np.float64(0.002356308395974338) - rollout_corr/log_ppl_diff_max:np.float64(0.008682578802108765) - rollout_corr/log_ppl_diff_min:np.float64(-0.00811341404914856) - rollout_corr/ppl_ratio:np.float64(1.0011216211132705) - rollout_corr/chi2_token:np.float64(0.0019299194682389498) - rollout_corr/chi2_seq:np.float64(1.121945014456287) - actor/pg_loss:np.float64(0.011288162786513567) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0012192110252726707) - actor/ppo_kl:np.float64(0.00031442064742748244) - 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(0.45703125) - self_distillation/token_reweight_w_mean:np.float64(41760.65258256742) - self_distillation/token_reweight_w_std:np.float64(727182.3370472678) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0036190431565046) - self_distillation/token_reweight_w_clip_frac:np.float64(0.21599252949818037) - self_distillation/empty_target_batch:np.float64(0.14453125) - actor/grad_norm:np.float64(0.5489989519119263) - perf/mfu/actor:np.float64(0.050270106983118526) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(203.2335548400879) - actor/lr:np.float64(1e-06) - training/global_step:41 - training/epoch:2 - critic/score/mean:0.45703125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.45703125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.00123530940618366 - critic/advantages/max:0.875 - critic/advantages/min:-0.75 - critic/returns/mean:0.00123530940618366 - critic/returns/max:0.875 - critic/returns/min:-0.75 - response_length/mean:300.80078125 - response_length/max:914.0 - response_le
step:42 - global_seqlen/min:15134 - global_seqlen/max:20305 - global_seqlen/minmax_diff:5171 - global_seqlen/balanced_min:17959 - global_seqlen/balanced_max:18003 - global_seqlen/mean:17968.25 - actor/entropy:0.4570571482181549 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.7748275399208069 - training/rollout_probs_diff_mean:0.006258582696318626 - training/rollout_probs_diff_std:0.01304932776838541 - training/rollout_actor_probs_pearson_corr:0.998887836933136 - self_distillation/success_group_fraction:0.71875 - self_distillation/success_sample_fraction:0.69921875 - self_distillation/correct_sample_fraction:0.3515625 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.69921875 - rollout_corr/rollout_is_mean:0.9998893737792969 - rollout_corr/rollout_is_ratio_fraction_high:1.2583997886395082e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.2583997886395082e-05 - rollout_corr/rollout_is_max:2.284717082977295 - rollout_corr/rollout_is_min:0.22325187921524048 - rollout_corr/rollout_is_std:0.042170654982328415 - rollout_corr/rollout_is_eff_sample_size:0.998224436424269 - rollout_corr/rollout_is_seq_mean:0.9999182224273682 - rollout_corr/rollout_is_seq_std:0.0025441586039960384 - rollout_corr/rollout_is_seq_max:1.00813627243042 - rollout_corr/rollout_is_seq_min:0.9901077151298523 - rollout_corr/rollout_is_seq_max_deviation:0.009892284870147705 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5881843524985015) - rollout_corr/training_log_ppl:np.float64(0.457741612684913) - rollout_corr/kl:np.float64(0.001088180524718041) - rollout_corr/k3_kl:np.float64(0.001009936439345438) - rollout_corr/rollout_ppl:np.float64(1.5864198198541999) - rollout_corr/rollout_log_ppl:np.float64(0.45665342919528484) - rollout_corr/log_ppl_diff:np.float64(0.0010881834896281362) - rollout_corr/log_ppl_abs_diff:np.float64(0.002267185249365866) - rollout_corr/log_ppl_diff_max:np.float64(0.011401891708374023) - rollout_corr/log_ppl_diff_min:np.float64(-0.007148087024688721) - rollout_corr/ppl_ratio:np.float64(1.0010924919042736) - rollout_corr/chi2_token:np.float64(0.0018666633404791355) - rollout_corr/chi2_seq:np.float64(0.835359200835228) - actor/pg_loss:np.float64(0.008744741440750659) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0012483641817198077) - actor/ppo_kl:np.float64(9.679444900534406e-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(0.69921875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.69921875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.3515625) - self_distillation/token_reweight_w_mean:np.float64(34454.47747365851) - self_distillation/token_reweight_w_std:np.float64(616857.0199022216) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0046089186798781) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17166461775195785) - self_distillation/empty_target_batch:np.float64(0.30078125) - actor/grad_norm:np.float64(0.43421047180891037) - perf/mfu/actor:np.float64(0.04456099608373405) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.6717643737793) - actor/lr:np.float64(1e-06) - training/global_step:42 - training/epoch:2 - critic/score/mean:0.3515625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.3515625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.0007298719137907028 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.0007298719137907028 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:310.4140625 - respons
step:43 - global_seqlen/min:16542 - global_seqlen/max:24995 - global_seqlen/minmax_diff:8453 - global_seqlen/balanced_min:20349 - global_seqlen/balanced_max:24018 - global_seqlen/mean:20827.25 - actor/entropy:0.44059035181999207 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.5086237192153931 - training/rollout_probs_diff_mean:0.006040246691554785 - training/rollout_probs_diff_std:0.012639202177524567 - training/rollout_actor_probs_pearson_corr:0.9989492297172546 - self_distillation/success_group_fraction:0.90625 - self_distillation/success_sample_fraction:0.90234375 - self_distillation/correct_sample_fraction:0.56640625 - 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:0.999949038028717 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.35798997891834e-05 - rollout_corr/rollout_is_max:1.6296545267105103 - rollout_corr/rollout_is_min:0.39326563477516174 - rollout_corr/rollout_is_std:0.04117661714553833 - rollout_corr/rollout_is_eff_sample_size:0.9983069997574627 - rollout_corr/rollout_is_seq_mean:0.9999187588691711 - rollout_corr/rollout_is_seq_std:0.002482477342709899 - rollout_corr/rollout_is_seq_max:1.0058101415634155 - rollout_corr/rollout_is_seq_min:0.991828203201294 - rollout_corr/rollout_is_seq_max_deviation:0.008171796798706055 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.590677146334201) - rollout_corr/training_log_ppl:np.float64(0.4580551938561257) - rollout_corr/kl:np.float64(0.0012790096782708815) - rollout_corr/k3_kl:np.float64(0.000981491270749757) - rollout_corr/rollout_ppl:np.float64(1.588688905350864) - rollout_corr/rollout_log_ppl:np.float64(0.45677618618356064) - rollout_corr/log_ppl_diff:np.float64(0.0012790076725650579) - rollout_corr/log_ppl_abs_diff:np.float64(0.0022130336437840015) - rollout_corr/log_ppl_diff_max:np.float64(0.009368181228637695) - rollout_corr/log_ppl_diff_min:np.float64(-0.006417810916900635) - rollout_corr/ppl_ratio:np.float64(1.0012832230422646) - rollout_corr/chi2_token:np.float64(0.001390925608575344) - rollout_corr/chi2_seq:np.float64(0.2726682838983834) - actor/pg_loss:np.float64(0.01187965925782919) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0010726483542384813) - actor/ppo_kl:np.float64(0.00030101987926367535) - 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(0.56640625) - self_distillation/token_reweight_w_mean:np.float64(38002.45210678852) - self_distillation/token_reweight_w_std:np.float64(666991.4729211024) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0008108539041132) - self_distillation/token_reweight_w_clip_frac:np.float64(0.20847218368726317) - self_distillation/empty_target_batch:np.float64(0.09765625) - actor/grad_norm:np.float64(0.48353035748004913) - perf/mfu/actor:np.float64(0.049177262371158326) - perf/max_memory_allocated_gb:np.float64(134.84235525131226) - perf/max_memory_reserved_gb:np.float64(149.34765625) - perf/cpu_memory_used_gb:np.float64(202.6334376335144) - actor/lr:np.float64(1e-06) - training/global_step:43 - training/epoch:3 - critic/score/mean:0.56640625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.56640625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.02291671559214592 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.02291671559214592 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:331.3203125 - response_length/max:4
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step:48 - global_seqlen/min:17483 - global_seqlen/max:22895 - global_seqlen/minmax_diff:5412 - global_seqlen/balanced_min:19181 - global_seqlen/balanced_max:19186 - global_seqlen/mean:19184.625 - actor/entropy:0.4989648461341858 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.18431976437568665 - training/rollout_probs_diff_mean:0.0062462324276566505 - training/rollout_probs_diff_std:0.012339205481112003 - training/rollout_actor_probs_pearson_corr:0.9990322589874268 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - 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:0.80078125 - rollout_corr/rollout_is_mean:1.000258445739746 - rollout_corr/rollout_is_ratio_fraction_high:1.357865403406322e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.357865403406322e-05 - rollout_corr/rollout_is_max:2.057563066482544 - rollout_corr/rollout_is_min:0.470103919506073 - rollout_corr/rollout_is_std:0.04147230088710785 - rollout_corr/rollout_is_eff_sample_size:0.9982839519278051 - rollout_corr/rollout_is_seq_mean:1.000274658203125 - rollout_corr/rollout_is_seq_std:0.0025153234601020813 - rollout_corr/rollout_is_seq_max:1.00737726688385 - rollout_corr/rollout_is_seq_min:0.993608295917511 - rollout_corr/rollout_is_seq_max_deviation:0.007377266883850098 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6499635931104422) - rollout_corr/training_log_ppl:np.float64(0.49548498587682843) - rollout_corr/kl:np.float64(0.0008148331013586585) - rollout_corr/k3_kl:np.float64(0.0009374350726147895) - rollout_corr/rollout_ppl:np.float64(1.648575996980071) - rollout_corr/rollout_log_ppl:np.float64(0.4946701503940858) - rollout_corr/log_ppl_diff:np.float64(0.0008148354827426374) - rollout_corr/log_ppl_abs_diff:np.float64(0.0023317066370509565) - rollout_corr/log_ppl_diff_max:np.float64(0.009462296962738037) - rollout_corr/log_ppl_diff_min:np.float64(-0.00883948802947998) - rollout_corr/ppl_ratio:np.float64(1.0008193084504455) - rollout_corr/chi2_token:np.float64(0.002115017268806696) - rollout_corr/chi2_seq:np.float64(1.4036534039769322) - actor/pg_loss:np.float64(0.00924574350938201) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007358052316703834) - actor/ppo_kl:np.float64(0.00022666109313185245) - 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(0.48046875) - self_distillation/token_reweight_w_mean:np.float64(13798.467892235843) - self_distillation/token_reweight_w_std:np.float64(218088.21206535352) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0028005323838443) - self_distillation/token_reweight_w_clip_frac:np.float64(0.19191132939886302) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.49331025034189224) - perf/mfu/actor:np.float64(0.047835606836249434) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.66539001464844) - actor/lr:np.float64(1e-06) - training/global_step:48 - training/epoch:3 - 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:-0.0010574377374723554 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0010574377374723554 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:287.67578125 -
step:49 - global_seqlen/min:16987 - global_seqlen/max:21266 - global_seqlen/minmax_diff:4279 - global_seqlen/balanced_min:19138 - global_seqlen/balanced_max:19146 - global_seqlen/mean:19143.625 - actor/entropy:0.5215277075767517 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.22537505626678467 - training/rollout_probs_diff_mean:0.006179735995829105 - training/rollout_probs_diff_std:0.011852401308715343 - training/rollout_actor_probs_pearson_corr:0.9991031289100647 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.81640625 - 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:0.81640625 - rollout_corr/rollout_is_mean:0.9997779130935669 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.7723264694213867 - rollout_corr/rollout_is_min:0.5217617750167847 - rollout_corr/rollout_is_std:0.040510427206754684 - rollout_corr/rollout_is_eff_sample_size:0.9983608217718287 - rollout_corr/rollout_is_seq_mean:0.999786376953125 - rollout_corr/rollout_is_seq_std:0.0023819187190383673 - rollout_corr/rollout_is_seq_max:1.0075643062591553 - rollout_corr/rollout_is_seq_min:0.9942116737365723 - rollout_corr/rollout_is_seq_max_deviation:0.0075643062591552734 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6935842824168503) - rollout_corr/training_log_ppl:np.float64(0.5215203997213393) - rollout_corr/kl:np.float64(0.001009607866770068) - rollout_corr/k3_kl:np.float64(0.0009367430029669777) - rollout_corr/rollout_ppl:np.float64(1.6918844282627106) - rollout_corr/rollout_log_ppl:np.float64(0.5205107883084565) - rollout_corr/log_ppl_diff:np.float64(0.0010096114128828049) - rollout_corr/log_ppl_abs_diff:np.float64(0.0022241247352212667) - rollout_corr/log_ppl_diff_max:np.float64(0.009637236595153809) - rollout_corr/log_ppl_diff_min:np.float64(-0.008005857467651367) - rollout_corr/ppl_ratio:np.float64(1.001013510627672) - rollout_corr/chi2_token:np.float64(0.0017460049130022526) - rollout_corr/chi2_seq:np.float64(0.633887531934306) - actor/pg_loss:np.float64(0.009288873756304383) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0009839653034759976) - actor/ppo_kl:np.float64(-3.1075492399779137e-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(0.81640625) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.81640625) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.43359375) - self_distillation/token_reweight_w_mean:np.float64(2881.341757737333) - self_distillation/token_reweight_w_std:np.float64(43805.62359804881) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0042963603045791) - self_distillation/token_reweight_w_clip_frac:np.float64(0.22476474451832473) - self_distillation/empty_target_batch:np.float64(0.18359375) - actor/grad_norm:np.float64(0.45831435173749924) - perf/mfu/actor:np.float64(0.047177114873946914) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.7123794555664) - actor/lr:np.float64(1e-06) - training/global_step:49 - training/epoch:3 - 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:-0.005017322488129139 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.005017322488129139 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:302.17578125 - response_length/max:772.0 - 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the given protein sequence, we need to assess the overall balance of hydrophobic and hydrophilic residues, as well as the potential for secondary structure formation. The sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR' contains a mix of hydrophilic and hydrophobic residues, which can influence the protein's ability to fold into a stable conformation.

The presence of charged residues (like lysine, arginine, glutamic acid, and aspartic acid) indicates potential for forming hydrogen bonds and ionic interactions, which can contribute to stability. However, an excess of charged residues can also lead to destabilization due to electrostatic repulsion. The sequence also includes several repeated amino acids (e.g., 'RR' and 'AA'), which can promote local stability.

Among the given options, the score that best reflects a moderate level of stability, neither strongly favorable nor strongly unfavorable, is 0.45. This score suggests that the protein has a reasonable potential for folding into a stable structure, but not an extremely high level of stability.

Therefore, the most appropriate answer is D.
</reasoning>
<answer>
D
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] D
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_50
step:50 - global_seqlen/min:14605 - global_seqlen/max:21580 - global_seqlen/minmax_diff:6975 - global_seqlen/balanced_min:19390 - global_seqlen/balanced_max:19392 - global_seqlen/mean:19391.5 - actor/entropy:0.47946396470069885 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3996677100658417 - training/rollout_probs_diff_mean:0.006240477319806814 - training/rollout_probs_diff_std:0.012605458498001099 - training/rollout_actor_probs_pearson_corr:0.9989849328994751 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - self_distillation/correct_sample_fraction:0.53515625 - 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:1.0000673532485962 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:7.136740168789402e-05 - rollout_corr/rollout_is_max:1.6150994300842285 - rollout_corr/rollout_is_min:0.25283050537109375 - rollout_corr/rollout_is_std:0.04149097949266434 - rollout_corr/rollout_is_eff_sample_size:0.9982818135233342 - rollout_corr/rollout_is_seq_mean:1.000045895576477 - rollout_corr/rollout_is_seq_std:0.0027281756047159433 - rollout_corr/rollout_is_seq_max:1.008570671081543 - rollout_corr/rollout_is_seq_min:0.9895012378692627 - rollout_corr/rollout_is_seq_max_deviation:0.010498762130737305 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6148534356616437) - rollout_corr/training_log_ppl:np.float64(0.4745740353828296) - rollout_corr/kl:np.float64(0.0008616547988395951) - rollout_corr/k3_kl:np.float64(0.0009946930891828742) - rollout_corr/rollout_ppl:np.float64(1.6134692886844277) - rollout_corr/rollout_log_ppl:np.float64(0.47371237888000906) - rollout_corr/log_ppl_diff:np.float64(0.0008616565028205514) - rollout_corr/log_ppl_abs_diff:np.float64(0.0024016679963096976) - rollout_corr/log_ppl_diff_max:np.float64(0.01107800006866455) - rollout_corr/log_ppl_diff_min:np.float64(-0.007686227560043335) - rollout_corr/ppl_ratio:np.float64(1.000866251764819) - rollout_corr/chi2_token:np.float64(0.0022321681026369333) - rollout_corr/chi2_seq:np.float64(0.9324172651395202) - actor/pg_loss:np.float64(0.007270396803505719) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0010783002867356117) - actor/ppo_kl:np.float64(3.474096706668206e-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(0.80078125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.80078125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.53515625) - self_distillation/token_reweight_w_mean:np.float64(8663.78590165032) - self_distillation/token_reweight_w_std:np.float64(143810.25243300595) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0007838597521186) - self_distillation/token_reweight_w_clip_frac:np.float64(0.16617618181044236) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.4546274393796921) - perf/mfu/actor:np.float64(0.04808585897670077) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.63968658447266) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.44625) - val-aux/sciknoweval/reward/std@16:np.float64(0.29480083625642206) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.5642) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.25330119370356924) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.32504000000000005) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.24230366164914596) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.44444) - val
step:51 - global_seqlen/min:17188 - global_seqlen/max:26045 - global_seqlen/minmax_diff:8857 - global_seqlen/balanced_min:19228 - global_seqlen/balanced_max:26697 - global_seqlen/mean:20192.125 - actor/entropy:0.4293040931224823 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.2549576759338379 - training/rollout_probs_diff_mean:0.005704172886908054 - training/rollout_probs_diff_std:0.012154080905020237 - training/rollout_actor_probs_pearson_corr:0.9990142583847046 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.73046875 - 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:0.73046875 - rollout_corr/rollout_is_mean:1.0001018047332764 - rollout_corr/rollout_is_ratio_fraction_high:1.298010192840593e-05 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:3.394634485244751 - rollout_corr/rollout_is_min:0.5615415573120117 - rollout_corr/rollout_is_std:0.040227677673101425 - rollout_corr/rollout_is_eff_sample_size:0.9983845860973478 - rollout_corr/rollout_is_seq_mean:1.0000746250152588 - rollout_corr/rollout_is_seq_std:0.0027263914234936237 - rollout_corr/rollout_is_seq_max:1.0084176063537598 - rollout_corr/rollout_is_seq_min:0.9908918142318726 - rollout_corr/rollout_is_seq_max_deviation:0.009108185768127441 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6170092625543475) - rollout_corr/training_log_ppl:np.float64(0.47497447705609375) - rollout_corr/kl:np.float64(0.0012497635771566706) - rollout_corr/k3_kl:np.float64(0.00102243886846054) - rollout_corr/rollout_ppl:np.float64(1.6149390735663474) - rollout_corr/rollout_log_ppl:np.float64(0.4737247100347304) - rollout_corr/log_ppl_diff:np.float64(0.0012497670213633683) - rollout_corr/log_ppl_abs_diff:np.float64(0.002456330697896192) - rollout_corr/log_ppl_diff_max:np.float64(0.011276543140411377) - rollout_corr/log_ppl_diff_min:np.float64(-0.006423234939575195) - rollout_corr/ppl_ratio:np.float64(1.001254602568224) - rollout_corr/chi2_token:np.float64(0.0016376497223973274) - rollout_corr/chi2_seq:np.float64(0.4780591963790357) - actor/pg_loss:np.float64(0.0067009651102125645) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0007522285332015599) - actor/ppo_kl:np.float64(0.0004095833642168145) - 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(0.73046875) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.73046875) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.4375) - self_distillation/token_reweight_w_mean:np.float64(13076.554133867845) - self_distillation/token_reweight_w_std:np.float64(211910.2565514514) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0022720373235643) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1773863446433097) - self_distillation/empty_target_batch:np.float64(0.26953125) - actor/grad_norm:np.float64(0.4671621173620224) - perf/mfu/actor:np.float64(0.04654881126382293) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.96300601959229) - actor/lr:np.float64(1e-06) - training/global_step:51 - training/epoch:3 - 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:-0.05634662136435509 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.05634662136435509 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:300.94140625 - response_length/max:8192.0 - response_
step:52 - global_seqlen/min:15114 - global_seqlen/max:19678 - global_seqlen/minmax_diff:4564 - global_seqlen/balanced_min:17391 - global_seqlen/balanced_max:17393 - global_seqlen/mean:17392.0 - actor/entropy:0.5117276906967163 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3672093152999878 - training/rollout_probs_diff_mean:0.006458327639847994 - training/rollout_probs_diff_std:0.012513774447143078 - training/rollout_actor_probs_pearson_corr:0.9990215301513672 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.7734375 - self_distillation/correct_sample_fraction:0.53515625 - 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:0.9999927282333374 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6279516220092773 - rollout_corr/rollout_is_min:0.5086525082588196 - rollout_corr/rollout_is_std:0.042578574270009995 - rollout_corr/rollout_is_eff_sample_size:0.9981903459095249 - rollout_corr/rollout_is_seq_mean:0.999974250793457 - rollout_corr/rollout_is_seq_std:0.002831320744007826 - rollout_corr/rollout_is_seq_max:1.0063813924789429 - rollout_corr/rollout_is_seq_min:0.9922206997871399 - rollout_corr/rollout_is_seq_max_deviation:0.007779300212860107 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.6746168392710388) - rollout_corr/training_log_ppl:np.float64(0.5098408633493818) - rollout_corr/kl:np.float64(0.0014690806421100433) - rollout_corr/k3_kl:np.float64(0.001028424924356841) - rollout_corr/rollout_ppl:np.float64(1.6721903183497488) - rollout_corr/rollout_log_ppl:np.float64(0.5083717810339294) - rollout_corr/log_ppl_diff:np.float64(0.0014690823154523969) - rollout_corr/log_ppl_abs_diff:np.float64(0.002573086996562779) - rollout_corr/log_ppl_diff_max:np.float64(0.009477674961090088) - rollout_corr/log_ppl_diff_min:np.float64(-0.006135165691375732) - rollout_corr/ppl_ratio:np.float64(1.0014744414947927) - rollout_corr/chi2_token:np.float64(0.0011512499768286943) - rollout_corr/chi2_seq:np.float64(0.4030457080807537) - actor/pg_loss:np.float64(0.006522214272990823) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.001122471877351927) - actor/ppo_kl:np.float64(0.0005382808814404783) - 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(0.53515625) - self_distillation/token_reweight_w_mean:np.float64(27136.17666967702) - self_distillation/token_reweight_w_std:np.float64(425517.41254893073) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0014785304665565) - self_distillation/token_reweight_w_clip_frac:np.float64(0.14723654714180157) - self_distillation/empty_target_batch:np.float64(0.2265625) - actor/grad_norm:np.float64(0.40594881772994995) - perf/mfu/actor:np.float64(0.04314178159835623) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.96533203125) - actor/lr:np.float64(1e-06) - training/global_step:52 - training/epoch:3 - critic/score/mean:0.53515625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.53515625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.003247976303100586 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.003247976303100586 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:264.4375 - response_length/max:394.0 - response_length/min:1
step:53 - global_seqlen/min:17059 - global_seqlen/max:22874 - global_seqlen/minmax_diff:5815 - global_seqlen/balanced_min:19281 - global_seqlen/balanced_max:19292 - global_seqlen/mean:19289.0 - actor/entropy:0.4607000946998596 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.29402709007263184 - training/rollout_probs_diff_mean:0.006315375212579966 - training/rollout_probs_diff_std:0.01282504852861166 - training/rollout_actor_probs_pearson_corr:0.9988994598388672 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.7421875 - self_distillation/correct_sample_fraction:0.48828125 - 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:1.000185251235962 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:2.889505230996292e-05 - rollout_corr/rollout_is_max:1.780316710472107 - rollout_corr/rollout_is_min:0.4562900960445404 - rollout_corr/rollout_is_std:0.04276713728904724 - rollout_corr/rollout_is_eff_sample_size:0.9981750237537251 - rollout_corr/rollout_is_seq_mean:1.0001364946365356 - rollout_corr/rollout_is_seq_std:0.002618843223899603 - rollout_corr/rollout_is_seq_max:1.009338140487671 - rollout_corr/rollout_is_seq_min:0.9941945672035217 - rollout_corr/rollout_is_seq_max_deviation:0.009338140487670898 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.592559686396271) - rollout_corr/training_log_ppl:np.float64(0.4603707636706531) - rollout_corr/kl:np.float64(0.0007604588569023463) - rollout_corr/k3_kl:np.float64(0.001011009657759132) - rollout_corr/rollout_ppl:np.float64(1.5913150617852807) - rollout_corr/rollout_log_ppl:np.float64(0.45961030514445156) - rollout_corr/log_ppl_diff:np.float64(0.0007604585262015462) - rollout_corr/log_ppl_abs_diff:np.float64(0.0022676836233586073) - rollout_corr/log_ppl_diff_max:np.float64(0.01063990592956543) - rollout_corr/log_ppl_diff_min:np.float64(-0.00778353214263916) - rollout_corr/ppl_ratio:np.float64(1.000764571595937) - rollout_corr/chi2_token:np.float64(0.0025336912367492914) - rollout_corr/chi2_seq:np.float64(1.063055372564122) - actor/pg_loss:np.float64(0.007254078867845237) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0012323748633207288) - actor/ppo_kl:np.float64(-2.4577615384657747e-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(0.48828125) - self_distillation/token_reweight_w_mean:np.float64(67757.99035247811) - self_distillation/token_reweight_w_std:np.float64(1011191.0651432538) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0005109936464578) - self_distillation/token_reweight_w_clip_frac:np.float64(0.15712974785128608) - self_distillation/empty_target_batch:np.float64(0.2578125) - actor/grad_norm:np.float64(0.4638129398226738) - perf/mfu/actor:np.float64(0.047956530479009274) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(203.01011657714844) - actor/lr:np.float64(1e-06) - training/global_step:53 - training/epoch:3 - critic/score/mean:0.48828125 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.48828125 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.0025554061867296696 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.0025554061867296696 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:270.375 - response_length/max:650.0 - respo
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step:58 - global_seqlen/min:14459 - global_seqlen/max:21156 - global_seqlen/minmax_diff:6697 - global_seqlen/balanced_min:18220 - global_seqlen/balanced_max:18229 - global_seqlen/mean:18226.875 - actor/entropy:0.44357579946517944 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.1497378945350647 - training/rollout_probs_diff_mean:0.0065992739982903 - training/rollout_probs_diff_std:0.013419775292277336 - training/rollout_actor_probs_pearson_corr:0.9987605214118958 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.73828125 - self_distillation/correct_sample_fraction:0.4921875 - 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:0.9999858736991882 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.5194104889815208e-05 - rollout_corr/rollout_is_max:1.5986714363098145 - rollout_corr/rollout_is_min:0.477508008480072 - rollout_corr/rollout_is_std:0.04383395239710808 - rollout_corr/rollout_is_eff_sample_size:0.9980822694279385 - rollout_corr/rollout_is_seq_mean:1.0000407695770264 - rollout_corr/rollout_is_seq_std:0.002992832101881504 - rollout_corr/rollout_is_seq_max:1.0077518224716187 - rollout_corr/rollout_is_seq_min:0.9927381873130798 - rollout_corr/rollout_is_seq_max_deviation:0.007751822471618652 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5614326829090714) - rollout_corr/training_log_ppl:np.float64(0.44203145906794816) - rollout_corr/kl:np.float64(0.0012513224959427305) - rollout_corr/k3_kl:np.float64(0.0011372438857506495) - rollout_corr/rollout_ppl:np.float64(1.559436835348606) - rollout_corr/rollout_log_ppl:np.float64(0.44078013475518674) - rollout_corr/log_ppl_diff:np.float64(0.001251324312761426) - rollout_corr/log_ppl_abs_diff:np.float64(0.0027763640973716974) - rollout_corr/log_ppl_diff_max:np.float64(0.009593278169631958) - rollout_corr/log_ppl_diff_min:np.float64(-0.008433282375335693) - rollout_corr/ppl_ratio:np.float64(1.0012572219129652) - rollout_corr/chi2_token:np.float64(0.002024699468165636) - rollout_corr/chi2_seq:np.float64(0.763364716200158) - actor/pg_loss:np.float64(0.00859343248885125) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0011575627140700817) - actor/ppo_kl:np.float64(0.00031340952021707835) - 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(0.4921875) - self_distillation/token_reweight_w_mean:np.float64(25006.7489922191) - self_distillation/token_reweight_w_std:np.float64(407317.1976042362) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9994073531124741) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17494874715339392) - self_distillation/empty_target_batch:np.float64(0.26171875) - actor/grad_norm:np.float64(0.44489244371652603) - perf/mfu/actor:np.float64(0.04525287704795743) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.87546920776367) - actor/lr:np.float64(1e-06) - training/global_step:58 - training/epoch:4 - critic/score/mean:0.4921875 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.4921875 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:-0.008907543495297432 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.008907543495297432 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:257.08984375 - response_length/max:683.0
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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': 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the given protein sequence, we need to evaluate the balance of hydrophobic and hydrophilic amino acids, as well as the overall secondary structure potential. The sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR' contains a mix of hydrophobic and hydrophilic residues, with several charged amino acids that may contribute to stability through electrostatic interactions.

However, without specific computational tools or databases to calculate the exact folding stability score, we can estimate based on known patterns. A score of 1.69 (Option B) is reasonable as it suggests moderate stability, which aligns with the presence of both stabilizing and destabilizing elements in the sequence. Other options either suggest extreme instability (A: -0.01) or high stability (C: 2.49 or D: 0.45), which may not be supported by the sequence's composition.

Therefore, the most plausible answer is B.
</reasoning>
<answer>
B
</answer>
[ground_truth] B
[score] 1.0
[acc] 1.0
[pred] B
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_60
step:60 - global_seqlen/min:13576 - global_seqlen/max:20947 - global_seqlen/minmax_diff:7371 - global_seqlen/balanced_min:16645 - global_seqlen/balanced_max:16703 - global_seqlen/mean:16656.375 - actor/entropy:0.4254399538040161 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.3288995623588562 - training/rollout_probs_diff_mean:0.006534686777740717 - training/rollout_probs_diff_std:0.013477168045938015 - training/rollout_actor_probs_pearson_corr:0.99874347448349 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.77734375 - self_distillation/correct_sample_fraction:0.5859375 - self_distillation/feedback_available_fraction:0.0 - self_distillation/feedback_used_fraction:0.0 - self_distillation/reprompt_sample_fraction:0.77734375 - rollout_corr/rollout_is_mean:0.9996057748794556 - rollout_corr/rollout_is_ratio_fraction_high:1.6076395695563406e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.6076395695563406e-05 - rollout_corr/rollout_is_max:2.032266616821289 - rollout_corr/rollout_is_min:0.433442622423172 - rollout_corr/rollout_is_std:0.04407735541462898 - rollout_corr/rollout_is_eff_sample_size:0.9980593507206911 - rollout_corr/rollout_is_seq_mean:0.9996085166931152 - rollout_corr/rollout_is_seq_std:0.003007634310051799 - rollout_corr/rollout_is_seq_max:1.008218765258789 - rollout_corr/rollout_is_seq_min:0.9911052584648132 - rollout_corr/rollout_is_seq_max_deviation:0.008894741535186768 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5300847575999796) - rollout_corr/training_log_ppl:np.float64(0.4217581414268352) - rollout_corr/kl:np.float64(0.001792657749192017) - rollout_corr/k3_kl:np.float64(0.0012050122458049373) - rollout_corr/rollout_ppl:np.float64(1.5273630735464394) - rollout_corr/rollout_log_ppl:np.float64(0.4199654840049334) - rollout_corr/log_ppl_diff:np.float64(0.001792657421901822) - rollout_corr/log_ppl_abs_diff:np.float64(0.002946705324575305) - rollout_corr/log_ppl_diff_max:np.float64(0.014287739992141724) - rollout_corr/log_ppl_diff_min:np.float64(-0.009233087301254272) - rollout_corr/ppl_ratio:np.float64(1.0018000043928623) - rollout_corr/chi2_token:np.float64(0.001288227504119277) - rollout_corr/chi2_seq:np.float64(0.31369242863729596) - actor/pg_loss:np.float64(0.0078679786529392) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.000945317102377885) - actor/ppo_kl:np.float64(0.000415737068987454) - 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(0.77734375) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.77734375) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.5859375) - self_distillation/token_reweight_w_mean:np.float64(12415.185876371106) - self_distillation/token_reweight_w_std:np.float64(160777.9885632039) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.999912645900622) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1443075709976256) - self_distillation/empty_target_batch:np.float64(0.22265625) - actor/grad_norm:np.float64(0.4619360789656639) - perf/mfu/actor:np.float64(0.04120263510682176) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(202.9427032470703) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.45875) - val-aux/sciknoweval/reward/std@16:np.float64(0.28589994738248686) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.57374) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.23503150750091606) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.33942) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.25065505727072734) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.45498) - val-aux
step:61 - global_seqlen/min:15215 - global_seqlen/max:21636 - global_seqlen/minmax_diff:6421 - global_seqlen/balanced_min:17781 - global_seqlen/balanced_max:17863 - global_seqlen/mean:17796.125 - actor/entropy:0.4386352598667145 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.20178675651550293 - training/rollout_probs_diff_mean:0.006503935903310776 - training/rollout_probs_diff_std:0.013286919333040714 - training/rollout_actor_probs_pearson_corr:0.9987898468971252 - self_distillation/success_group_fraction:0.75 - self_distillation/success_sample_fraction:0.7421875 - 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:0.7421875 - rollout_corr/rollout_is_mean:0.9996527433395386 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.5713914632797241 - rollout_corr/rollout_is_min:0.5322938561439514 - rollout_corr/rollout_is_std:0.042463626712560654 - rollout_corr/rollout_is_eff_sample_size:0.99819889801498 - rollout_corr/rollout_is_seq_mean:0.9995660781860352 - rollout_corr/rollout_is_seq_std:0.002834318671375513 - rollout_corr/rollout_is_seq_max:1.0070080757141113 - rollout_corr/rollout_is_seq_min:0.989690899848938 - rollout_corr/rollout_is_seq_max_deviation:0.010309100151062012 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5459735784679651) - rollout_corr/training_log_ppl:np.float64(0.4307885488960892) - rollout_corr/kl:np.float64(0.0011336080857589081) - rollout_corr/k3_kl:np.float64(0.0010721262671040677) - rollout_corr/rollout_ppl:np.float64(1.5442254738882184) - rollout_corr/rollout_log_ppl:np.float64(0.42965493840165436) - rollout_corr/log_ppl_diff:np.float64(0.0011336104944348335) - rollout_corr/log_ppl_abs_diff:np.float64(0.002438421710394323) - rollout_corr/log_ppl_diff_max:np.float64(0.011657178401947021) - rollout_corr/log_ppl_diff_min:np.float64(-0.006434887647628784) - rollout_corr/ppl_ratio:np.float64(1.0011385180987418) - rollout_corr/chi2_token:np.float64(0.0020339724142104387) - rollout_corr/chi2_seq:np.float64(0.4345152941532433) - actor/pg_loss:np.float64(0.00790927221532911) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0008774361849646084) - actor/ppo_kl:np.float64(-0.00021857498688859778) - 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(0.46875) - self_distillation/token_reweight_w_mean:np.float64(90567.05320201884) - self_distillation/token_reweight_w_std:np.float64(1318699.3814123706) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0014657031279057) - self_distillation/token_reweight_w_clip_frac:np.float64(0.1606671340414323) - self_distillation/empty_target_batch:np.float64(0.2578125) - actor/grad_norm:np.float64(0.4679563641548157) - perf/mfu/actor:np.float64(0.043273108008049774) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(204.20936584472656) - actor/lr:np.float64(1e-06) - training/global_step:61 - training/epoch:4 - 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:-0.008226853795349598 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:-0.008226853795349598 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:257.41015625 - response_length/max:743.0 - response_length/min:143.0
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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': 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR', we must consider the balance of hydrophobic and hydrophilic residues, as well as the overall secondary structure potential.

This sequence contains a mix of hydrophilic and hydrophobic residues. The presence of charged residues (like lysine, arginine, and glutamic acid) suggests a potential for forming hydrogen bonds and stabilizing secondary structures such as alpha-helices or beta-sheets. However, the sequence also includes a number of glycine and serine residues, which are flexible and may reduce overall stability.

The folding stability score is a measure of how likely the sequence is to fold into a stable, functional structure. A score of 0.45 (option D) indicates moderate stability, which is consistent with the observed composition of the sequence. A higher score (like 1.69 or 2.49) would suggest a much stronger tendency to fold, which is not strongly supported by the sequence's composition. A score of -0.01 (option A) would indicate very low stability or even instability, which is not the case here.

Therefore, the most reasonable choice is option D.
</reasoning>
<answer>
D
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] D
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_70
step:70 - global_seqlen/min:14195 - global_seqlen/max:22916 - global_seqlen/minmax_diff:8721 - global_seqlen/balanced_min:18575 - global_seqlen/balanced_max:19069 - global_seqlen/mean:18647.5 - actor/entropy:0.40223971009254456 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.21410562098026276 - training/rollout_probs_diff_mean:0.005981245543807745 - training/rollout_probs_diff_std:0.012858964502811432 - training/rollout_actor_probs_pearson_corr:0.9988651871681213 - self_distillation/success_group_fraction:0.78125 - self_distillation/success_sample_fraction:0.7734375 - self_distillation/correct_sample_fraction:0.48828125 - 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:0.9999248385429382 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:1.5099353731784504e-05 - rollout_corr/rollout_is_max:1.637394666671753 - rollout_corr/rollout_is_min:0.4432382881641388 - rollout_corr/rollout_is_std:0.04244397208094597 - rollout_corr/rollout_is_eff_sample_size:0.9982015111875429 - rollout_corr/rollout_is_seq_mean:0.9998952746391296 - rollout_corr/rollout_is_seq_std:0.002894037403166294 - rollout_corr/rollout_is_seq_max:1.007933497428894 - rollout_corr/rollout_is_seq_min:0.9927491545677185 - rollout_corr/rollout_is_seq_max_deviation:0.007933497428894043 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.5124935517087579) - rollout_corr/training_log_ppl:np.float64(0.408629662822932) - rollout_corr/kl:np.float64(0.001113242896618516) - rollout_corr/k3_kl:np.float64(0.0010684058212859782) - rollout_corr/rollout_ppl:np.float64(1.5107644419185817) - rollout_corr/rollout_log_ppl:np.float64(0.40751642000395805) - rollout_corr/log_ppl_diff:np.float64(0.0011132428189739585) - rollout_corr/log_ppl_abs_diff:np.float64(0.002559314714744687) - rollout_corr/log_ppl_diff_max:np.float64(0.011656224727630615) - rollout_corr/log_ppl_diff_min:np.float64(-0.00806976854801178) - rollout_corr/ppl_ratio:np.float64(1.0011183749884367) - rollout_corr/chi2_token:np.float64(0.002033733995631337) - rollout_corr/chi2_seq:np.float64(0.45794546813704073) - actor/pg_loss:np.float64(0.009028565953485668) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0012773160842698417) - actor/ppo_kl:np.float64(8.440654408481407e-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(0.48828125) - self_distillation/token_reweight_w_mean:np.float64(116265.03865508409) - self_distillation/token_reweight_w_std:np.float64(1752052.7730618762) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0003117620944977) - self_distillation/token_reweight_w_clip_frac:np.float64(0.17489009501878172) - self_distillation/empty_target_batch:np.float64(0.2265625) - actor/grad_norm:np.float64(0.5032764300704002) - perf/mfu/actor:np.float64(0.04566123341865101) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(203.0324592590332) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.47) - val-aux/sciknoweval/reward/std@16:np.float64(0.2837672993079357) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.5904) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.2402826094689352) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.35114000000000006) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.24436774579815057) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.47056000000000003) - v
step:71 - global_seqlen/min:14212 - global_seqlen/max:20949 - global_seqlen/minmax_diff:6737 - global_seqlen/balanced_min:18319 - global_seqlen/balanced_max:18448 - global_seqlen/mean:18337.5 - actor/entropy:0.40672412514686584 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.24095088243484497 - training/rollout_probs_diff_mean:0.006252078805118799 - training/rollout_probs_diff_std:0.013184416107833385 - training/rollout_actor_probs_pearson_corr:0.9987838268280029 - self_distillation/success_group_fraction:0.8125 - self_distillation/success_sample_fraction:0.80078125 - self_distillation/correct_sample_fraction:0.50390625 - 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:1.0000264644622803 - rollout_corr/rollout_is_ratio_fraction_high:0.0 - rollout_corr/rollout_is_ratio_fraction_low:0.0 - rollout_corr/rollout_is_max:1.6697510480880737 - rollout_corr/rollout_is_min:0.5687577128410339 - rollout_corr/rollout_is_std:0.042977072298526764 - rollout_corr/rollout_is_eff_sample_size:0.9981564952634434 - rollout_corr/rollout_is_seq_mean:1.0000219345092773 - rollout_corr/rollout_is_seq_std:0.0029963974375277758 - rollout_corr/rollout_is_seq_max:1.0112249851226807 - rollout_corr/rollout_is_seq_min:0.9927828907966614 - rollout_corr/rollout_is_seq_max_deviation:0.011224985122680664 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.509089607745409) - rollout_corr/training_log_ppl:np.float64(0.4068939457065426) - rollout_corr/kl:np.float64(0.0009392168688009406) - rollout_corr/k3_kl:np.float64(0.0011883202386115954) - rollout_corr/rollout_ppl:np.float64(1.507674849126488) - rollout_corr/rollout_log_ppl:np.float64(0.4059547278448008) - rollout_corr/log_ppl_diff:np.float64(0.0009392178617417812) - rollout_corr/log_ppl_abs_diff:np.float64(0.0028873439878225327) - rollout_corr/log_ppl_diff_max:np.float64(0.014798790216445923) - rollout_corr/log_ppl_diff_min:np.float64(-0.009581387042999268) - rollout_corr/ppl_ratio:np.float64(1.0009459911379963) - rollout_corr/chi2_token:np.float64(0.0028433329425752163) - rollout_corr/chi2_seq:np.float64(1.480576429516077) - actor/pg_loss:np.float64(0.009686199831776321) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.001594028693943983) - actor/ppo_kl:np.float64(3.150309135069307e-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(0.80078125) - self_distillation/token_reweight_context_sample_fraction:np.float64(0.80078125) - self_distillation/token_reweight_correct_sample_fraction:np.float64(0.50390625) - self_distillation/token_reweight_w_mean:np.float64(82136.91651543835) - self_distillation/token_reweight_w_std:np.float64(1049356.8156914301) - self_distillation/token_reweight_w_clipped_mean:np.float64(1.0018565838690847) - self_distillation/token_reweight_w_clip_frac:np.float64(0.16540322510991246) - self_distillation/empty_target_batch:np.float64(0.19921875) - actor/grad_norm:np.float64(0.4736870229244232) - perf/mfu/actor:np.float64(0.045126120652042294) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(210.3404884338379) - actor/lr:np.float64(1e-06) - training/global_step:71 - training/epoch:5 - critic/score/mean:0.50390625 - critic/score/max:1.0 - critic/score/min:0.0 - critic/rewards/mean:0.50390625 - critic/rewards/max:1.0 - critic/rewards/min:0.0 - critic/advantages/mean:0.006460945587605238 - critic/advantages/max:0.875 - critic/advantages/min:-0.875 - critic/returns/mean:0.006460945587605238 - critic/returns/max:0.875 - critic/returns/min:-0.875 - response_length/mean:250.453125 - response_length/max:748.0 - response_len
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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': 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the given protein sequence, we must consider the balance of hydrophobic and hydrophilic residues, as well as the potential for forming stable secondary structures such as alpha-helices and beta-sheets. The sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR' contains a mix of both hydrophilic and hydrophobic residues, which is typical for proteins with moderate stability.

However, the presence of multiple charged residues (e.g., lysine, arginine, glutamic acid, aspartic acid) and some hydrophobic residues (e.g., glycine, serine, tryptophan) suggests a moderate tendency for folding. The overall structure appears to have a reasonable balance between stabilizing and destabilizing interactions, which would result in a moderate stability score.

Among the given options, 0.45 (D) represents a moderate stability score, which aligns with the observed composition of the sequence. This score is neither too low (indicating instability) nor too high (indicating strong stability), making it the most reasonable choice.
</reasoning>
<answer>
D
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] D
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_80
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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': 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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR', we need to assess the balance of hydrophobic and hydrophilic residues, as well as the overall secondary structure potential.

The sequence contains a mix of hydrophilic (e.g., lysine, arginine, glutamic acid, aspartic acid) and hydrophobic (e.g., glycine, serine, tryptophan, tyrosine) residues. It also includes several charged residues, which can contribute to stabilizing the protein through electrostatic interactions.

While the sequence has a moderate number of charged residues, it also contains enough hydrophobic residues to potentially form a stable core. The presence of repeated charged residues (like 'EEE' and 'ARR') may suggest a region of high local stability, but the overall balance of hydrophobic and hydrophilic residues suggests a moderate to slightly positive folding stability score.

Among the given options, 0.45 (Option D) represents a moderate positive score, indicating reasonable folding stability without being overly favorable. This makes it the most reasonable choice based on the sequence's composition.
</reasoning>
<answer>
D
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] D
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_90
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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
What is the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR'?

A: -0.01
B: 1.69
C: 2.49
D: 0.45
Please reason step by step.
assistant
<think>

</think>


[response] <reasoning>
To determine the folding stability score of the protein sequence 'GSSTTRYRFLDEEEARRAAKEWARRGYQVHVTQNGTYWEVEVR', we need to evaluate the balance of hydrophobic and hydrophilic residues, as well as the presence of stabilizing interactions such as hydrogen bonds and secondary structures.

The sequence contains a mix of both hydrophilic and hydrophobic residues. Notably, there are several charged residues (e.g., lysine, arginine, glutamic acid, aspartic acid), which can contribute to stabilizing interactions in the protein's folded state. Additionally, the presence of repeated amino acids like 'RR' and 'AA' suggests potential for forming stable secondary structures like alpha-helices or beta-sheets.

However, the sequence also includes some hydrophilic residues (e.g., serine, threonine, glutamine) which may affect the overall folding stability. A score of 0.45 (Option D) suggests a moderate level of stability, which is reasonable given the balance of hydrophilic and hydrophobic residues and the presence of stabilizing interactions.

Among the options provided, 0.45 is the most plausible score for the folding stability of this protein sequence, as it reflects a moderate but not extreme level of stability.
</reasoning>
<answer>
D
</answer>
[ground_truth] B
[score] 0.0
[acc] 0.0
[pred] D
[incorrect_format] 1
[feedback]
local_global_step_folder: /mnt/mole/SDPO/L2T/checkpoints/datasets/sciknoweval/biology/qwen3gen-biology-RLSD_TR-Qwen-Qwen3-8B-mbs8-decay0-tr0.1-train32-rollout8-lr1e-6-vllm0.8/global_step_100
step:100 - global_seqlen/min:15201 - global_seqlen/max:22595 - global_seqlen/minmax_diff:7394 - global_seqlen/balanced_min:19240 - global_seqlen/balanced_max:20182 - global_seqlen/mean:19359.5 - actor/entropy:0.3639138340950012 - perf/mfu/actor_infer:0 - training/rollout_probs_diff_valid:1 - training/rollout_probs_diff_max:0.27729934453964233 - training/rollout_probs_diff_mean:0.005966469645500183 - training/rollout_probs_diff_std:0.01337695773690939 - training/rollout_actor_probs_pearson_corr:0.9986874461174011 - self_distillation/success_group_fraction:0.84375 - self_distillation/success_sample_fraction:0.83984375 - self_distillation/correct_sample_fraction:0.671875 - 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:0.9998152852058411 - rollout_corr/rollout_is_ratio_fraction_high:4.59418079117313e-05 - rollout_corr/rollout_is_ratio_fraction_low:1.53139353642473e-05 - rollout_corr/rollout_is_max:2.4048268795013428 - rollout_corr/rollout_is_min:0.3131374716758728 - rollout_corr/rollout_is_std:0.042716238647699356 - rollout_corr/rollout_is_eff_sample_size:0.9981778743517461 - rollout_corr/rollout_is_seq_mean:0.9998635053634644 - rollout_corr/rollout_is_seq_std:0.0027923036832362413 - rollout_corr/rollout_is_seq_max:1.008629322052002 - rollout_corr/rollout_is_seq_min:0.9914166331291199 - rollout_corr/rollout_is_seq_max_deviation:0.008629322052001953 - rollout_corr/rollout_is_seq_fraction_high:0.0 - rollout_corr/rollout_is_seq_fraction_low:0.0 - rollout_corr/training_ppl:np.float64(1.456413078121841) - rollout_corr/training_log_ppl:np.float64(0.37094445162802003) - rollout_corr/kl:np.float64(0.0011583137813406807) - rollout_corr/k3_kl:np.float64(0.0012635472568831574) - rollout_corr/rollout_ppl:np.float64(1.4546512076631188) - rollout_corr/rollout_log_ppl:np.float64(0.3697861341643147) - rollout_corr/log_ppl_diff:np.float64(0.0011583174637053162) - rollout_corr/log_ppl_abs_diff:np.float64(0.002755315537797287) - rollout_corr/log_ppl_diff_max:np.float64(0.010634154081344604) - rollout_corr/log_ppl_diff_min:np.float64(-0.007962644100189209) - rollout_corr/ppl_ratio:np.float64(1.0011649164371192) - rollout_corr/chi2_token:np.float64(0.003004896454513073) - rollout_corr/chi2_seq:np.float64(0.8863912406377494) - actor/pg_loss:np.float64(0.007820420083589852) - actor/kl_loss:np.float64(0.0) - actor/pg_clipfrac:np.float64(0.0010761070025182562) - actor/ppo_kl:np.float64(7.754255021552581e-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(0.671875) - self_distillation/token_reweight_w_mean:np.float64(45580.425170551986) - self_distillation/token_reweight_w_std:np.float64(679798.1475089006) - self_distillation/token_reweight_w_clipped_mean:np.float64(0.9963978114537895) - self_distillation/token_reweight_w_clip_frac:np.float64(0.13672411735751666) - self_distillation/empty_target_batch:np.float64(0.16015625) - actor/grad_norm:np.float64(0.39938923716545105) - perf/mfu/actor:np.float64(0.04707397319538395) - perf/max_memory_allocated_gb:np.float64(135.0777406692505) - perf/max_memory_reserved_gb:np.float64(149.6015625) - perf/cpu_memory_used_gb:np.float64(205.93875122070312) - actor/lr:np.float64(1e-06) - val-aux/sciknoweval/reward/mean@16:np.float64(0.55) - val-aux/sciknoweval/reward/std@16:np.float64(0.1705123962141389) - val-aux/sciknoweval/reward/best@2/mean:np.float64(0.61904) - val-aux/sciknoweval/reward/best@2/std:np.float64(0.1400715293582534) - val-aux/sciknoweval/reward/worst@2/mean:np.float64(0.48004) - val-aux/sciknoweval/reward/worst@2/std:np.float64(0.147132195408043) - val-aux/sciknoweval/reward/maj@2/mean:np.float64(0.55058) - val-au
("Final validation metrics: {'val-aux/sciknoweval/reward/mean@16': "
 "np.float64(0.55), 'val-aux/sciknoweval/reward/std@16': "
 "np.float64(0.1705123962141389), 'val-aux/sciknoweval/reward/best@2/mean': "
 "np.float64(0.61904), 'val-aux/sciknoweval/reward/best@2/std': "
 "np.float64(0.1400715293582534), 'val-aux/sciknoweval/reward/worst@2/mean': "
 "np.float64(0.48004), 'val-aux/sciknoweval/reward/worst@2/std': "
 "np.float64(0.147132195408043), 'val-aux/sciknoweval/reward/maj@2/mean': "
 "np.float64(0.55058), 'val-aux/sciknoweval/reward/maj@2/std': "
 "np.float64(0.16941156579650474), 'val-aux/sciknoweval/reward/best@4/mean': "
 "np.float64(0.674), 'val-aux/sciknoweval/reward/best@4/std': "
 "np.float64(0.09758132520114339), 'val-aux/sciknoweval/reward/worst@4/mean': "
 "np.float64(0.4220399999999999), 'val-aux/sciknoweval/reward/worst@4/std': "
 "np.float64(0.11484012157584442), 'val-aux/sciknoweval/reward/maj@4/mean': "
 "np.float64(0.55496), 'val-aux/sciknoweval/reward/maj@4/std': "
 "np.float64(0.1354735155461244), 'val-aux/sciknoweval/reward/best@8/mean': "
 "np.float64(0.71124), 'val-aux/sciknoweval/reward/best@8/std': "
 "np.float64(0.06916601903650618), 'val-aux/sciknoweval/reward/worst@8/mean': "
 "np.float64(0.3761), 'val-aux/sciknoweval/reward/worst@8/std': "
 "np.float64(0.08117633716216308), 'val-aux/sciknoweval/reward/maj@8/mean': "
 "np.float64(0.5593400000000001), 'val-aux/sciknoweval/reward/maj@8/std': "
 "np.float64(0.09364957204441302), 'val-aux/sciknoweval/reward/best@16/mean': "
 "np.float64(0.73856), 'val-aux/sciknoweval/reward/best@16/std': "
 "np.float64(0.04218677040162369), 'val-aux/sciknoweval/reward/worst@16/mean': "
 "np.float64(0.3436), 'val-aux/sciknoweval/reward/worst@16/std': "
 "np.float64(0.048294469414788314), 'val-aux/sciknoweval/reward/maj@16/mean': "
 "np.float64(0.55908), 'val-aux/sciknoweval/reward/maj@16/std': "
 "np.float64(0.06533731091763299), 'val-aux/sciknoweval/score/mean@16': "
 "np.float64(0.55), 'val-aux/sciknoweval/score/std@16': "
 "np.float64(0.1705123962141389), 'val-aux/sciknoweval/score/best@2/mean': "
 "np.float64(0.61904), 'val-aux/sciknoweval/score/best@2/std': "
 "np.float64(0.1400715293582534), 'val-aux/sciknoweval/score/worst@2/mean': "
 "np.float64(0.48004), 'val-aux/sciknoweval/score/worst@2/std': "
 "np.float64(0.147132195408043), 'val-aux/sciknoweval/score/maj@2/mean': "
 "np.float64(0.55058), 'val-aux/sciknoweval/score/maj@2/std': "
 "np.float64(0.16941156579650474), 'val-aux/sciknoweval/score/best@4/mean': "
 "np.float64(0.674), 'val-aux/sciknoweval/score/best@4/std': "
 "np.float64(0.09758132520114339), 'val-aux/sciknoweval/score/worst@4/mean': "
 "np.float64(0.4220399999999999), 'val-aux/sciknoweval/score/worst@4/std': "
 "np.float64(0.11484012157584442), 'val-aux/sciknoweval/score/maj@4/mean': "
 "np.float64(0.55496), 'val-aux/sciknoweval/score/maj@4/std': "
 "np.float64(0.1354735155461244), 'val-aux/sciknoweval/score/best@8/mean': "
 "np.float64(0.71124), 'val-aux/sciknoweval/score/best@8/std': "
 "np.float64(0.06916601903650618), 'val-aux/sciknoweval/score/worst@8/mean': "
 "np.float64(0.3761), 'val-aux/sciknoweval/score/worst@8/std': "
 "np.float64(0.08117633716216308), 'val-aux/sciknoweval/score/maj@8/mean': "
 "np.float64(0.5593400000000001), 'val-aux/sciknoweval/score/maj@8/std': "
 "np.float64(0.09364957204441302), 'val-aux/sciknoweval/score/best@16/mean': "
 "np.float64(0.73856), 'val-aux/sciknoweval/score/best@16/std': "
 "np.float64(0.04218677040162369), 'val-aux/sciknoweval/score/worst@16/mean': "
 "np.float64(0.3436), 'val-aux/sciknoweval/score/worst@16/std': "
 "np.float64(0.048294469414788314), 'val-aux/sciknoweval/score/maj@16/mean': "
 "np.float64(0.55908), 'val-aux/sciknoweval/score/maj@16/std': "
 "np.float64(0.06533731091763299), 'val-core/sciknoweval/acc/mean@16': "
 "np.float64(0.55), 'val-aux/sciknoweval/acc/std@16': "
 "np.float64(0.1705123962141389), 'val-aux/sciknoweval/acc/best@2/mean': "
 "np.float64(0.61904), 'val-aux/sciknoweval/acc/best@2/std': "
 "np.float64(0.1400715293582534), 'val-aux/sciknoweval/acc/worst@2/mean': "
 "np.float64(0.48004), 'val-aux/sciknoweval/acc/worst@2/std': "
 "np.float64(0.147132195408043), 'val-aux/sciknoweval/acc/maj@2/mean': "
 "np.float64(0.55058), 'val-aux/sciknoweval/acc/maj@2/std': "
 "np.float64(0.16941156579650474), 'val-aux/sciknoweval/acc/best@4/mean': "
 "np.float64(0.674), 'val-aux/sciknoweval/acc/best@4/std': "
 "np.float64(0.09758132520114339), 'val-aux/sciknoweval/acc/worst@4/mean': "
 "np.float64(0.4220399999999999), 'val-aux/sciknoweval/acc/worst@4/std': "
 "np.float64(0.11484012157584442), 'val-aux/sciknoweval/acc/maj@4/mean': "
 "np.float64(0.55496), 'val-aux/sciknoweval/acc/maj@4/std': "
 "np.float64(0.1354735155461244), 'val-aux/sciknoweval/acc/best@8/mean': "
 "np.float64(0.71124), 'val-aux/sciknoweval/acc/best@8/std': "
 "np.float64(0.06916601903650618), 'val-aux/sciknoweval/acc/worst@8/mean': "
 "np.float64(0.3761), 'val-aux/sciknoweval/acc/worst@8/std': "
 "np.float64(0.08117633716216308), 'val-aux/sciknoweval/acc/maj@8/mean': "
 "np.float64(0.5593400000000001), 'val-aux/sciknoweval/acc/maj@8/std': "
 "np.float64(0.09364957204441302), 'val-core/sciknoweval/acc/best@16/mean': "
 "np.float64(0.73856), 'val-core/sciknoweval/acc/best@16/std': "
 "np.float64(0.04218677040162369), 'val-aux/sciknoweval/acc/worst@16/mean': "
 "np.float64(0.3436), 'val-aux/sciknoweval/acc/worst@16/std': "
 "np.float64(0.048294469414788314), 'val-core/sciknoweval/acc/maj@16/mean': "
 "np.float64(0.55908), 'val-core/sciknoweval/acc/maj@16/std': "
 'np.float64(0.06533731091763299), '
 "'val-aux/sciknoweval/incorrect_format/mean@16': np.float64(0.99875), "
 "'val-aux/sciknoweval/incorrect_format/std@16': "
 'np.float64(0.004841229182759271), '
 "'val-aux/sciknoweval/incorrect_format/best@2/mean': "
 'np.float64(0.9999600000000001), '
 "'val-aux/sciknoweval/incorrect_format/best@2/std': "
 'np.float64(0.0008935323161475471), '
 "'val-aux/sciknoweval/incorrect_format/worst@2/mean': "
 'np.float64(0.9977199999999999), '
 "'val-aux/sciknoweval/incorrect_format/worst@2/std': "
 'np.float64(0.00635622529493724), '
 "'val-aux/sciknoweval/incorrect_format/maj@2/mean': np.float64(0.99894), "
 "'val-aux/sciknoweval/incorrect_format/maj@2/std': "
 'np.float64(0.004480669592817572), '
 "'val-aux/sciknoweval/incorrect_format/best@4/mean': np.float64(1.0), "
 "'val-aux/sciknoweval/incorrect_format/best@4/std': np.float64(0.0), "
 "'val-aux/sciknoweval/incorrect_format/worst@4/mean': np.float64(0.99556), "
 "'val-aux/sciknoweval/incorrect_format/worst@4/std': "
 'np.float64(0.008311822904754409), '
 "'val-aux/sciknoweval/incorrect_format/maj@4/mean': np.float64(0.99972), "
 "'val-aux/sciknoweval/incorrect_format/maj@4/std': "
 'np.float64(0.0023498085028359223), '
 "'val-aux/sciknoweval/incorrect_format/best@8/mean': np.float64(1.0), "
 "'val-aux/sciknoweval/incorrect_format/best@8/std': np.float64(0.0), "
 "'val-aux/sciknoweval/incorrect_format/worst@8/mean': np.float64(0.99216), "
 "'val-aux/sciknoweval/incorrect_format/worst@8/std': "
 'np.float64(0.009763933633531108), '
 "'val-aux/sciknoweval/incorrect_format/maj@8/mean': np.float64(1.0), "
 "'val-aux/sciknoweval/incorrect_format/maj@8/std': np.float64(0.0), "
 "'val-aux/sciknoweval/incorrect_format/best@16/mean': np.float64(1.0), "
 "'val-aux/sciknoweval/incorrect_format/best@16/std': np.float64(0.0), "
 "'val-aux/sciknoweval/incorrect_format/worst@16/mean': np.float64(0.9875), "
 "'val-aux/sciknoweval/incorrect_format/worst@16/std': "
 'np.float64(0.009682458365518542), '
 "'val-aux/sciknoweval/incorrect_format/maj@16/mean': np.float64(1.0), "
 "'val-aux/sciknoweval/incorrect_format/maj@16/std': np.float64(0.0), "
 "'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)}")