初始化项目，由ModelHub XC社区提供模型

Model: laion/a3-rl-laion_nemotron-gym-knowledge-web-search-mcqa-25-8B
Source: Original Platform

training_logs/20260604_042832_metrics_job_561773.csv

@@ -0,0 +1,48 @@
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training_logs/20260604_042832_metrics_job_561774.csv

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+0.0,0,64,512,4,2.8594,0,0.9375,1500.7812,1844.2375,1143.6414,9994,1,1120.7211,0.5098,-0.0053,0.196,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1847,-0.0027,0.0,1.0,0.0,0.0322,0.7656,0.5098,14.2682,51.5793,596.9204,30.4,857.9676,261.0472,0.0278,1.475,10.651,67.4135,78.2542,1520.3024,18.9587,67.5751,1421.6139,1,72,54,432,376,26,44,0.0083,7.9718,0.8518518518518519,46.0,,,,0.018518518518518517,1.0,,,0.14814814814814814,8.0,0.037037037037037035,2.0,0.05555555555555555,3.0,,
+0.0,0,64,512,5,2.9375,0,0.9688,1564.1035,1709.5708,1455.3754,31835,1,1779.4817,0.4277,-0.0155,0.1918,-0.0002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1997,-0.0117,0.0,1.0,0.0,0.0257,0.6562,0.4277,14.8183,52.0496,595.6396,30.6,857.9676,262.3279,0.0604,4.4063,13.5523,77.2786,91.0881,955.472,22.893,77.4751,837.0834,1,73,52,416,349,27,63,,,1.4807692307692308,77.0,0.019230769230769232,1.0,,,,,,0.09615384615384616,5.0,,,0.019230769230769232,1.0,,
+0.0,0,64,512,5,3.0781,0,0.9844,1565.9238,1966.342,1323.6646,12671,1,1476.1683,0.377,0.0125,0.1756,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1849,-0.0028,0.0,1.0,0.0,0.0252,0.6094,0.377,14.4745,51.7088,596.2072,30.5,857.9676,261.7604,0.0281,1.8006,10.7916,77.0942,88.0893,785.6645,21.1036,77.2692,674.6676,1,74,50,400,340,26,26,0.0058,8.3159,0.36,18.0,0.02,1.0,,,,0.44,22.0,0.16,8.0,0.74,37.0,0.02,1.0,,
+0.0,0,64,512,5,3.0156,0,0.9531,1565.5078,1882.9515,1312.6667,8726,1,1121.8304,0.4434,0.0435,0.2652,-0.0006,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1959,-0.0354,0.0,1.0,0.0,0.0312,0.75,0.4434,14.3168,51.5483,596.5836,30.5,857.9676,261.384,0.0236,1.3431,10.4609,66.2752,76.9251,2414.9589,19.2471,66.4402,2317.4423,1,75,58,464,405,21,11,,,0.1724137931034483,10.0,,,6.1001,,,0.034482758620689655,2.0,0.1206896551724138,7.0,0.6551724137931034,38.0,0.05172413793103448,3.0,,
+0.0,0,64,512,5,2.4375,0,0.9375,1449.3945,1545.2319,1348.1687,11681,1,923.5711,0.5137,0.0337,0.1847,-0.0005,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2028,-0.0326,0.0,1.0,0.0,0.027,0.7031,0.5137,14.3325,51.5339,596.2689,30.5,857.9676,261.6987,0.028,1.6664,9.3675,62.9433,72.493,1109.8361,22.8674,63.0972,1012.8089,1,76,55,440,372,29,56,0.0074,8.6293,1.0909090909090908,60.0,0.01818181818181818,1.0,,0.01818181818181818,1.0,,,0.09090909090909091,5.0,0.14545454545454545,8.0,,,,
+0.0,0,64,512,7,3.125,1,1.0,1614.0918,1823.1131,1455.3505,8384,1,1085.196,0.4316,0.0038,0.223,-0.0002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2067,-0.0113,0.0,1.0,0.0,0.0341,0.7188,0.4316,14.2598,51.4158,596.5928,30.5,857.9676,261.3748,0.0229,1.2926,9.9412,67.0244,77.1433,1127.1815,22.9307,67.1789,1025.8139,1,77,55,440,360,29,79,,,1.490909090909091,82.0,0.01818181818181818,1.0,,,,0.05454545454545454,3.0,0.01818181818181818,1.0,0.01818181818181818,1.0,,,,
+0.0,0,64,512,8,2.9844,1,1.0,1462.8027,1786.6073,1220.7782,6035,1,1014.943,0.4277,-0.0088,0.2223,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1934,-0.002,0.0,1.0,0.0,0.0304,0.75,0.4277,14.3234,51.5596,596.5438,30.5,857.9676,261.4238,0.0201,1.0112,9.2961,63.2103,72.6758,1029.6794,22.0363,63.3593,933.9548,1,78,55,440,374,18,66,0.0074,8.3253,1.2181818181818183,67.0,,,,,,0.01818181818181818,1.0,,,,,,,0.01818181818181818,1.0
+0.0,0,64,512,8,2.7656,0,0.9531,1591.5762,1816.017,1401.1661,7747,1,1042.4948,0.459,0.002,0.1109,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1979,-0.002,0.0,1.0,0.0,0.0239,0.6562,0.459,14.4701,51.647,596.77,30.4,857.9676,261.1976,0.0209,1.23,9.635,64.7835,74.6011,1479.7707,20.0528,64.9448,1383.8864,1,79,48,384,335,22,49,,,1.2708333333333333,61.0,,,,0.0625,3.0,,,,,,,,,,
+0.0,0,64,512,4,2.5312,0,0.9062,1834.9805,1788.6358,1901.6286,31942,1,2683.0966,0.5898,-0.0713,0.2093,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.191,0.0,0.0,1.0,0.0,0.0258,0.8594,0.5898,15.131,52.3589,595.2559,30.6,857.9676,262.7117,0.0623,4.0772,15.0406,101.0602,116.3456,1469.5577,23.7781,101.2423,1325.356,1,80,63,504,458,25,45,0.0076,8.5438,0.8095238095238095,51.0,,,6.4528,,,,,,,0.015873015873015872,1.0,0.015873015873015872,1.0,,

training_logs/20260604_042832_metrics_report.md

@@ -0,0 +1,356 @@
+# SkyRL Training Metrics Analysis
+
+Generated from 2 log files
+
+## Overview
+
+| Log File | Total Steps | Metric Blocks | Final Reward (mean) | Final Reward (max) | Total Time (s) |
+|----------|-------------|---------------|---------------------|-------------------|----------------|
+| job_561773 | 47 | 47 | 0.4832 | 0.6699 | 40348.4 |
+| job_561774 | 80 | 34 | 0.4752 | 0.6641 | 40570.1 |
+
+## Async Metrics
+
+|                               |       Mean |      Std |   Min |   Max |   Count |
+|:------------------------------|-----------:|---------:|------:|------:|--------:|
+| async/discard_rate            |   0        | 0        |     0 |     0 |      81 |
+| async/discarded_count         |   0        | 0        |     0 |     0 |      81 |
+| async/effective_batch_groups  |  64        | 0        |    64 |    64 |      81 |
+| async/effective_batch_samples | 512        | 0        |   512 |   512 |      81 |
+| async/staleness_max           |   5.03704  | 1.78497  |     0 |     9 |      81 |
+| async/staleness_mean          |   2.78221  | 0.838605 |     0 |     5 |      81 |
+| async/staleness_min           |   0.259259 | 0.833333 |     0 |     5 |      81 |
+| async/staleness_ratio         |   0.909143 | 0.17908  |     0 |     1 |      81 |
+
+## Generate Metrics
+
+|                                      |       Mean |      Std |      Min |      Max |   Count |
+|:-------------------------------------|-----------:|---------:|---------:|---------:|--------:|
+| generate/avg_num_tokens              |  1679.98   |  115.733 | 1419.4   |  1972.39 |      81 |
+| generate/avg_tokens_non_zero_rewards |  1823.91   |  152.503 | 1391.42  |  2257.26 |      81 |
+| generate/avg_tokens_zero_rewards     |  1561.41   |  173.17  | 1143.64  |  1901.63 |      81 |
+| generate/max_num_tokens              | 14893.9    | 8449.88  | 4339     | 31942    |      81 |
+| generate/min_num_tokens              |    82.8272 |  233.383 |    1     |   792    |      81 |
+| generate/std_num_tokens              |  1248.78   |  367.594 |  474.896 |  2683.1  |      81 |
+
+## Loss Metrics
+
+|                             |      Mean |       Std |     Min |    Max |   Count |
+|:----------------------------|----------:|----------:|--------:|-------:|--------:|
+| loss/avg_final_rewards      |  0.479843 | 0.0654987 |  0.377  | 0.6699 |      81 |
+| loss/avg_raw_advantages     | -0.0011   | 0.0157427 | -0.0713 | 0.0435 |      81 |
+| loss/avg_raw_advantages_abs |  0.210109 | 0.0365231 |  0.109  | 0.3151 |      81 |
+
+## Policy Metrics
+
+|                             |         Mean |         Std |     Min |    Max |   Count |
+|:----------------------------|-------------:|------------:|--------:|-------:|--------:|
+| policy/final_loss           | -1.85185e-05 | 9.09823e-05 | -0.0006 | 0      |      81 |
+| policy/log_ratio_abs_max    |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_mean   |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_p99    |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos00  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos10  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos20  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos30  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos40  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos50  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos60  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos70  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos80  |  0           | 0           |  0      | 0      |      81 |
+| policy/log_ratio_abs_pos90  |  0           | 0           |  0      | 0      |      81 |
+| policy/n_tokens_dp_gt_10pct |  0           | 0           |  0      | 0      |      81 |
+| policy/n_tokens_dp_gt_1pct  |  0           | 0           |  0      | 0      |      81 |
+| policy/n_tokens_dp_gt_50pct |  0           | 0           |  0      | 0      |      81 |
+| policy/policy_entropy       |  0.213363    | 0.0123506   |  0.1847 | 0.2375 |      81 |
+| policy/policy_loss          | -0.00124074  | 0.00556657  | -0.0354 | 0      |      81 |
+| policy/policy_lr            |  0           | 0           |  0      | 0      |      81 |
+| policy/policy_update_steps  |  1           | 0           |  1      | 1      |      81 |
+| policy/ppo_clip_ratio       |  0           | 0           |  0      | 0      |      81 |
+| policy/raw_grad_norm        |  0.0342728   | 0.0147022   |  0.0239 | 0.1338 |      81 |
+
+## Reward Metrics
+
+|                       |     Mean |       Std |    Min |    Max |   Count |
+|:----------------------|---------:|----------:|-------:|-------:|--------:|
+| reward/avg_pass_at_8  | 0.742557 | 0.0605992 | 0.6094 | 0.8906 |      81 |
+| reward/avg_raw_reward | 0.479843 | 0.0654987 | 0.377  | 0.6699 |      81 |
+
+## System Metrics
+
+|                         |     Mean |         Std |      Min |      Max |   Count |
+|:------------------------|---------:|------------:|---------:|---------:|--------:|
+| system/process_rss_gb   |  12.7194 | 2.95903     |   3.9384 |  15.7029 |      81 |
+| system/process_vms_gb   |  51.2557 | 0.655464    |  49.7056 |  52.769  |      81 |
+| system/ram_available_gb | 596.999  | 9.85882     | 581.762  | 622.734  |      81 |
+| system/ram_percent      |  30.4185 | 1.15316     |  27.4    |  32.2    |      81 |
+| system/ram_total_gb     | 857.968  | 4.96593e-05 | 857.967  | 857.968  |      81 |
+| system/ram_used_gb      | 260.969  | 9.85882     | 235.234  | 276.205  |      81 |
+
+## Timing Metrics
+
+|                                       |       Mean |        Std |      Min |       Max |   Count |
+|:--------------------------------------|-----------:|-----------:|---------:|----------:|--------:|
+| timing/compute_advantages_and_returns |   0.044784 |   0.041453 |   0.0171 |    0.3713 |      81 |
+| timing/convert_to_training_input      |   2.11839  |   1.02368  |   0.8234 |    4.4063 |      81 |
+| timing/fwd_logprobs_values_reward     |  11.5596   |   1.63923  |   8.4123 |   16.8231 |      81 |
+| timing/policy_train                   |  71.9472   |   8.18653  |  53.9066 |  101.06   |      81 |
+| timing/run_training                   |  83.7054   |   9.52006  |  62.4678 |  116.346  |      81 |
+| timing/step                           | 998.994    | 405.534    | 465.143  | 3038.23   |      81 |
+| timing/sync_weights                   |  23.0452   |   1.86714  |  17.5989 |   27.0223 |      81 |
+| timing/train_critic_and_policy        |  72.1007   |   8.19559  |  54.0381 |  101.242  |      81 |
+| timing/wait_for_generation_buffer     | 890.121    | 405.78     | 354.775  | 2914.47   |      81 |
+| timing/cleanup_old_checkpoints        |   0.513695 |   2.26344  |   0.0058 |   11.6815 |      40 |
+| timing/save_checkpoints               |  10.0415   |   2.31378  |   7.9137 |   19.2498 |      40 |
+| timing/save_hf_model                  |   6.39602  |   0.444487 |   5.8828 |    7.7434 |      16 |
+
+## Trainer Metrics
+
+|                     |      Mean |     Std |   Min |   Max |   Count |
+|:--------------------|----------:|--------:|------:|------:|--------:|
+| trainer/epoch       |  0.444444 |  0.5    |     0 |     1 |      81 |
+| trainer/global_step | 40.5802   | 23.1035 |     1 |    80 |      81 |
+
+## Batch_Errors Metrics
+
+|                                               |        Mean |         Std |         Min |         Max |   Count |
+|:----------------------------------------------|------------:|------------:|------------:|------------:|--------:|
+| batch_errors/total_batches                    |  57.1111    |   5.66569   |  46         |  96         |      81 |
+| batch_errors/total_instances                  | 456.889     |  45.3255    | 368         | 768         |      81 |
+| batch_errors/total_successful                 | 414.506     |  51.6568    | 335         | 768         |      81 |
+| batch_errors/total_failed                     |  19.4568    |  10.1797    |   0         |  40         |      81 |
+| batch_errors/total_masked                     |  40.6914    |  24.1866    |   0         |  95         |      81 |
+| batch_errors/avg_InvalidChatHistory           |   0.838266  |   0.38179   |   0.0175439 |   1.74074   |      74 |
+| batch_errors/total_InvalidChatHistory         |  47.6622    |  21.9491    |   1         |  96         |      74 |
+| batch_errors/avg_DaytonaError                 |   0.0271896 |   0.0157125 |   0.0163934 |   0.0714286 |      28 |
+| batch_errors/total_DaytonaError               |   1.57143   |   0.920087  |   1         |   4         |      28 |
+| batch_errors/avg_ContextLengthExceededError   |   0.0319596 |   0.0406469 |   0.016129  |   0.160714  |      13 |
+| batch_errors/total_ContextLengthExceededError |   1.76923   |   2.24179   |   1         |   9         |      13 |
+| batch_errors/avg_RuntimeError                 |   0.0178571 | nan         |   0.0178571 |   0.0178571 |       1 |
+| batch_errors/total_RuntimeError               |   1         | nan         |   1         |   1         |       1 |
+| batch_errors/avg_AgentTimeoutError            |   0.0885766 |   0.141711  |   0.0166667 |   0.44      |       9 |
+| batch_errors/total_AgentTimeoutError          |   4.66667   |   7.1239    |   1         |  22         |       9 |
+| batch_errors/avg_AgentSetupTimeoutError       |   0.249893  |   0.30173   |   0.015873  |   0.74      |       8 |
+| batch_errors/total_AgentSetupTimeoutError     |  13.125     |  16.0128    |   1         |  38         |       8 |
+| batch_errors/avg_VerifierTimeoutError         |   0.105889  |   0.046451  |   0.0181818 |   0.16      |       7 |
+| batch_errors/total_VerifierTimeoutError       |   5.71429   |   2.42997   |   1         |   8         |       7 |
+| batch_errors/avg_DaytonaAuthenticationError   |   0.0324767 |   0.0194287 |   0.015873  |   0.0555556 |       5 |
+| batch_errors/total_DaytonaAuthenticationError |   1.8       |   1.09545   |   1         |   3         |       5 |
+| batch_errors/avg_Timeout                      |   0.0181818 | nan         |   0.0181818 |   0.0181818 |       1 |
+| batch_errors/total_Timeout                    |   1         | nan         |   1         |   1         |       1 |
+
+## Training Progression by Log
+
+### job_561773
+
+| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
+|------|--------|--------|-----|------|---------------|-------------|
+| 1 | 0.5410 | 0.7031 | 0.000000 | -0.0000 | 1394.8 | 1292.8 |
+| 2 | 0.5488 | 0.7031 | 0.000000 | -0.0000 | 486.3 | 393.9 |
+| 3 | 0.4961 | 0.7812 | 0.000000 | -0.0000 | 658.8 | 557.2 |
+| 4 | 0.6094 | 0.8125 | 0.000000 | 0.0000 | 692.6 | 588.1 |
+| 5 | 0.4883 | 0.7500 | 0.000000 | 0.0000 | 954.4 | 847.3 |
+| 6 | 0.4922 | 0.8438 | 0.000000 | 0.0000 | 465.1 | 354.8 |
+| 7 | 0.4453 | 0.6719 | 0.000000 | 0.0000 | 603.9 | 493.2 |
+| 8 | 0.4570 | 0.7812 | 0.000000 | 0.0000 | 684.1 | 570.8 |
+| 9 | 0.4121 | 0.7031 | 0.000000 | 0.0000 | 868.4 | 755.1 |
+| 10 | 0.4492 | 0.7656 | 0.000000 | 0.0000 | 756.6 | 643.7 |
+| 11 | 0.4824 | 0.6875 | 0.000000 | 0.0000 | 707.0 | 597.8 |
+| 12 | 0.4199 | 0.7031 | 0.000000 | 0.0000 | 739.9 | 632.2 |
+| 13 | 0.4805 | 0.8281 | 0.000000 | 0.0000 | 710.4 | 582.3 |
+| 14 | 0.4180 | 0.7344 | 0.000000 | 0.0000 | 765.8 | 648.4 |
+| 15 | 0.4805 | 0.7500 | 0.000000 | 0.0000 | 674.8 | 564.9 |
+| 16 | 0.3770 | 0.6250 | 0.000000 | 0.0000 | 887.2 | 775.3 |
+| 17 | 0.4922 | 0.7500 | 0.000000 | -0.0000 | 831.8 | 712.7 |
+| 18 | 0.3965 | 0.7031 | 0.000000 | 0.0000 | 880.0 | 779.4 |
+| 19 | 0.4316 | 0.6875 | 0.000000 | 0.0000 | 683.0 | 582.3 |
+| 20 | 0.4199 | 0.7188 | 0.000000 | 0.0000 | 637.4 | 534.5 |
+| 21 | 0.5020 | 0.7812 | 0.000000 | 0.0000 | 857.8 | 751.1 |
+| 22 | 0.4727 | 0.6719 | 0.000000 | -0.0000 | 667.7 | 560.6 |
+| 23 | 0.6172 | 0.8594 | 0.000000 | 0.0000 | 597.0 | 492.3 |
+| 24 | 0.4648 | 0.6875 | 0.000000 | 0.0000 | 896.7 | 771.3 |
+| 25 | 0.5918 | 0.8594 | 0.000000 | -0.0000 | 597.1 | 471.1 |
+| 26 | 0.4551 | 0.7031 | 0.000000 | -0.0000 | 807.6 | 710.1 |
+| 27 | 0.4316 | 0.6562 | 0.000000 | 0.0000 | 696.8 | 586.7 |
+| 28 | 0.5566 | 0.7812 | 0.000000 | -0.0000 | 784.6 | 682.0 |
+| 29 | 0.5000 | 0.7188 | 0.000000 | 0.0000 | 707.0 | 608.3 |
+| 30 | 0.4316 | 0.6719 | 0.000000 | 0.0000 | 610.6 | 494.2 |
+| 31 | 0.4922 | 0.8125 | 0.000000 | 0.0000 | 589.5 | 486.7 |
+| 32 | 0.4141 | 0.6562 | 0.000000 | 0.0000 | 750.3 | 643.1 |
+| 33 | 0.4141 | 0.7656 | 0.000000 | 0.0000 | 777.1 | 651.1 |
+| 34 | 0.5137 | 0.7500 | 0.000000 | 0.0000 | 979.9 | 866.6 |
+| 35 | 0.5059 | 0.7812 | 0.000000 | 0.0000 | 713.4 | 609.5 |
+| 36 | 0.4980 | 0.7969 | 0.000000 | 0.0000 | 775.4 | 660.8 |
+| 37 | 0.4492 | 0.7500 | 0.000000 | 0.0000 | 757.6 | 655.7 |
+| 38 | 0.5078 | 0.7812 | 0.000000 | 0.0000 | 692.2 | 581.6 |
+| 39 | 0.4961 | 0.7656 | 0.000000 | -0.0000 | 848.6 | 742.0 |
+| 40 | 0.5488 | 0.8438 | 0.000000 | -0.0000 | 893.1 | 787.3 |
+| 41 | 0.5039 | 0.7656 | 0.000000 | 0.0000 | 885.2 | 785.7 |
+| 42 | 0.4121 | 0.7188 | 0.000000 | 0.0000 | 1271.1 | 1141.7 |
+| 43 | 0.4453 | 0.7500 | 0.000000 | 0.0000 | 1012.1 | 917.3 |
+| 44 | 0.3984 | 0.7188 | 0.000000 | 0.0000 | 1307.2 | 1200.5 |
+| 45 | 0.4492 | 0.7500 | 0.000000 | 0.0000 | 3038.2 | 2914.5 |
+| 46 | 0.6309 | 0.7344 | 0.000000 | 0.0000 | 1619.0 | 1533.7 |
+| 47 | 0.6699 | 0.8750 | 0.000000 | 0.0000 | 1133.4 | 1037.4 |
+
+### job_561774
+
+| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
+|------|--------|--------|-----|------|---------------|-------------|
+| 47 | 0.6641 | 0.8033 | 0.000000 | -0.0000 | 2265.5 | 2157.0 |
+| 48 | 0.6445 | 0.8438 | 0.000000 | 0.0000 | 1245.0 | 1145.6 |
+| 49 | 0.5156 | 0.7344 | 0.000000 | 0.0000 | 1351.3 | 1239.3 |
+| 50 | 0.4531 | 0.7969 | 0.000000 | 0.0000 | 749.7 | 624.8 |
+| 51 | 0.4004 | 0.6719 | 0.000000 | 0.0000 | 1181.1 | 1081.8 |
+| 52 | 0.5059 | 0.7969 | 0.000000 | -0.0000 | 1068.0 | 959.9 |
+| 53 | 0.4297 | 0.6875 | 0.000000 | 0.0000 | 890.2 | 780.5 |
+| 54 | 0.4668 | 0.7500 | 0.000000 | 0.0000 | 1276.9 | 1155.4 |
+| 55 | 0.4434 | 0.7500 | 0.000000 | 0.0000 | 1121.7 | 1011.1 |
+| 56 | 0.4844 | 0.7188 | 0.000000 | -0.0000 | 1158.0 | 1039.8 |
+| 57 | 0.4473 | 0.7344 | 0.000000 | 0.0000 | 992.3 | 865.2 |
+| 58 | 0.4473 | 0.6719 | 0.000000 | 0.0000 | 992.3 | 857.4 |
+| 59 | 0.4648 | 0.7031 | 0.000000 | -0.0000 | 986.5 | 884.0 |
+| 60 | 0.4473 | 0.6719 | 0.000000 | 0.0000 | 1122.7 | 1016.5 |
+| 61 | 0.4141 | 0.7188 | 0.000000 | 0.0000 | 1132.9 | 1038.0 |
+| 62 | 0.4453 | 0.7812 | 0.000000 | 0.0000 | 1084.0 | 986.1 |
+| 63 | 0.4414 | 0.7344 | 0.000000 | 0.0000 | 1180.4 | 1080.5 |
+| 64 | 0.6113 | 0.8906 | 0.000000 | -0.0000 | 1079.8 | 964.2 |
+| 65 | 0.4746 | 0.7344 | 0.000000 | 0.0000 | 1055.0 | 931.4 |
+| 66 | 0.4102 | 0.6250 | 0.000000 | 0.0000 | 1124.4 | 1024.0 |
+| 67 | 0.4941 | 0.7969 | 0.000000 | 0.0000 | 1156.0 | 1049.4 |
+| 68 | 0.4336 | 0.7031 | 0.000000 | 0.0000 | 1049.8 | 936.4 |
+| 69 | 0.4688 | 0.7656 | 0.000000 | 0.0000 | 1134.5 | 1024.6 |
+| 70 | 0.4570 | 0.7500 | 0.000000 | 0.0000 | 1080.6 | 967.3 |
+| 71 | 0.5117 | 0.7344 | 0.000000 | 0.0000 | 1198.9 | 1097.3 |
+| 72 | 0.5098 | 0.7656 | 0.000000 | -0.0000 | 1520.3 | 1421.6 |
+| 73 | 0.4277 | 0.6562 | 0.000000 | -0.0002 | 955.5 | 837.1 |
+| 74 | 0.3770 | 0.6094 | 0.000000 | -0.0000 | 785.7 | 674.7 |
+| 75 | 0.4434 | 0.7500 | 0.000000 | -0.0006 | 2415.0 | 2317.4 |
+| 76 | 0.5137 | 0.7031 | 0.000000 | -0.0005 | 1109.8 | 1012.8 |
+| 77 | 0.4316 | 0.7188 | 0.000000 | -0.0002 | 1127.2 | 1025.8 |
+| 78 | 0.4277 | 0.7500 | 0.000000 | -0.0000 | 1029.7 | 934.0 |
+| 79 | 0.4590 | 0.6562 | 0.000000 | -0.0000 | 1479.8 | 1383.9 |
+| 80 | 0.5898 | 0.8594 | 0.000000 | 0.0000 | 1469.6 | 1325.4 |
+
+## Timing Analysis
+
+### Average Time Breakdown (% of step time)
+
+| Component | Avg % of Step Time |
+|-----------|-------------------|
+| wait_for_generation_buffer | 87.8% |
+| run_training | 9.4% |
+| train_critic_and_policy | 8.1% |
+| policy_train | 8.1% |
+| sync_weights | 2.6% |
+| fwd_logprobs_values_reward | 1.3% |
+| save_checkpoints | 1.2% |
+| save_hf_model | 0.7% |
+| convert_to_training_input | 0.2% |
+| cleanup_old_checkpoints | 0.1% |
+| compute_advantages_and_returns | 0.0% |
+
+## Cross-Log Comparison
+
+| Log | Avg Reward | Pass@8 | Step Time (s) | Gen Wait Time (s) | Avg Tokens | Staleness |
+|-----|------|------|------|------|------|------|
+| job_561773 | 0.4832 | 0.7470 | 858.4760 | 749.9947 | 1716.6914 | 2.8946 |
+| job_561774 | 0.4752 | 0.7364 | 1193.2385 | 1083.8262 | 1629.2433 | 2.6268 |
+
+## vLLM Inference Engine Analysis
+
+Metrics from vLLM stat loggers (V1LoggingStatLoggerFixed).
+
+> **Note**: Ray deduplicates similar log messages with `[repeated Nx across cluster]`,
+> so we typically capture stats from one engine per timestamp. The stats shown are
+> **per-engine** values. Multiply by num_inference_engines for cluster-wide estimates.
+
+### Summary by Log (Per-Engine Stats)
+
+| Log | Avg Running/Engine | Avg Waiting/Engine | Avg Gen Throughput/Engine | Avg KV Cache % | Avg Prefix Hit % |
+|-----|-------------------|-------------------|--------------------------|----------------|------------------|
+| job_561773 | 11.1 | 7.4 | 470.8 tok/s | 48.0% | 84.3% |
+| job_561774 | 11.8 | 8.5 | 493.2 tok/s | 51.0% | 82.4% |
+
+### Utilization Analysis (Per-Engine)
+
+Key indicators of inference engine utilization:
+
+- **Running requests/engine**: Concurrent requests being processed by each engine
+- **Waiting requests**: Requests queued (0 = engine not saturated, has spare capacity)
+- **Generation throughput**: Decode tokens/sec per engine
+  - 8B model on H100 can do **1000+ tok/s** when saturated
+  - If seeing <300 tok/s with 0 waiting, engine is **starved for requests**
+
+#### job_561773
+
+- **Running requests/engine**: avg=11.1, max=24
+- **Waiting requests**: avg=7.4, max=382
+- **Generation throughput/engine**: avg=470.8 tok/s, max=988.5 tok/s
+- **KV cache usage**: avg=48.0%
+- **Prefix cache hit rate**: avg=84.3%
+- ✅ **Well-utilized**: Engines saturated (waiting > 0)
+
+#### job_561774
+
+- **Running requests/engine**: avg=11.8, max=24
+- **Waiting requests**: avg=8.5, max=274
+- **Generation throughput/engine**: avg=493.2 tok/s, max=972.1 tok/s
+- **KV cache usage**: avg=51.0%
+- **Prefix cache hit rate**: avg=82.4%
+- ✅ **Well-utilized**: Engines saturated (waiting > 0)
+
+## Trial-Level Analysis (from result.json)
+
+Total trials parsed: 43795
+
+### Turn Count Statistics
+
+| Metric | Value |
+|--------|-------|
+| Mean | 2.1 |
+| Median | 2.0 |
+| Std | 0.7 |
+| Min | 1 |
+| Max | 18 |
+| Count | 43632 |
+
+### Exception Distribution
+
+| Exception Type | Count | % |
+|---------------|-------|---|
+| No exception | 38610 | 88.2% |
+| AgentTimeoutError | 4917 | 11.2% |
+| AgentSetupTimeoutError | 133 | 0.3% |
+| VerifierTimeoutError | 56 | 0.1% |
+| DaytonaError | 44 | 0.1% |
+| ContextLengthExceededError | 24 | 0.1% |
+| DaytonaAuthenticationError | 9 | 0.0% |
+| RuntimeError | 1 | 0.0% |
+| Timeout | 1 | 0.0% |
+
+### Turn Count by Exception Type
+
+| Exception Type | Mean Turns | Median Turns | Count |
+|---------------|-----------|-------------|-------|
+| DaytonaError | 2.6 | 2.0 | 15 |
+| ContextLengthExceededError | 2.2 | 1.0 | 24 |
+| No exception | 2.2 | 2.0 | 38610 |
+| VerifierTimeoutError | 2.0 | 2.0 | 56 |
+| AgentTimeoutError | 1.3 | 1.0 | 4917 |
+| DaytonaAuthenticationError | 1.2 | 1.0 | 9 |
+| Timeout | 1.0 | 1.0 | 1 |
+
+### Turn Count by Outcome
+
+| Outcome | Mean Turns | Median Turns | Count |
+|---------|-----------|-------------|-------|
+| Success | 2.2 | 2.0 | 21100 |
+| Failure | 2.0 | 2.0 | 22382 |
+
+### Reward Summary
+
+- Mean reward: 0.4853
+- Success rate: 48.5%
+- Trials with reward data: 43482
+

training_logs/20260604_042832_metrics_table.csv

@@ -0,0 +1,82 @@
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