ablation-pymethods2test-seqnorm-15-8B/training_logs/20260608_210110_metrics_report.md

# SkyRL Training Metrics Analysis

Generated from 5 log files

## Overview

| Log File | Total Steps | Metric Blocks | Final Reward (mean) | Final Reward (max) | Total Time (s) |
|----------|-------------|---------------|---------------------|-------------------|----------------|
| job_639470 | 28 | 28 | 0.4418 | 0.7793 | 41831.8 |
| job_639471 | 49 | 21 | 0.3985 | 0.5566 | 40830.2 |
| job_639473 | 65 | 17 | 0.4187 | 0.5000 | 32146.5 |
| job_639474 | 80 | 16 | 0.3705 | 0.7148 | 38247.4 |
| job_639475 | 82 | 1 | 0.7676 | 0.7676 | 2771.7 |

## Async Metrics

|                               |       Mean |      Std |   Min |   Max |   Count |
|:------------------------------|-----------:|---------:|------:|------:|--------:|
| async/discard_rate            |   0        | 0        |     0 |     0 |      83 |
| async/discarded_count         |   0        | 0        |     0 |     0 |      83 |
| async/effective_batch_groups  |  64        | 0        |    64 |    64 |      83 |
| async/effective_batch_samples | 512        | 0        |   512 |   512 |      83 |
| async/staleness_max           |   3.3494   | 1.22408  |     0 |     7 |      83 |
| async/staleness_mean          |   1.71348  | 0.591401 |     0 |     4 |      83 |
| async/staleness_min           |   0.156627 | 0.614498 |     0 |     4 |      83 |
| async/staleness_ratio         |   0.851277 | 0.224556 |     0 |     1 |      83 |

## Generate Metrics

|                                      |     Mean |      Std |      Min |      Max |   Count |
|:-------------------------------------|---------:|---------:|---------:|---------:|--------:|
| generate/avg_num_tokens              |  4458.85 |  862.392 |  1713.21 |  6032.85 |      83 |
| generate/avg_tokens_non_zero_rewards |  4543.78 |  578.607 |  3120.78 |  5796.55 |      83 |
| generate/avg_tokens_zero_rewards     |  4503.36 | 1081.35  |  1084.97 |  6253.61 |      83 |
| generate/max_num_tokens              | 29333.3  | 4980.39  | 12999    | 31847    |      83 |
| generate/min_num_tokens              |     1    |    0     |     1    |     1    |      83 |
| generate/std_num_tokens              |  4009.1  |  673.611 |  2205.1  |  5542.49 |      83 |

## Loss Metrics

|                             |      Mean |       Std |     Min |    Max |   Count |
|:----------------------------|----------:|----------:|--------:|-------:|--------:|
| loss/avg_final_rewards      | 0.416272  | 0.112108  |  0.1445 | 0.7793 |      83 |
| loss/avg_raw_advantages     | 0.0180807 | 0.0320128 | -0.0169 | 0.1768 |      83 |
| loss/avg_raw_advantages_abs | 0.115995  | 0.0339654 |  0.0566 | 0.2262 |      83 |

## Policy Metrics

|                             |     Mean |       Std |    Min |    Max |   Count |
|:----------------------------|---------:|----------:|-------:|-------:|--------:|
| policy/final_loss           | 0        | 0         | -0     | 0      |      83 |
| policy/log_ratio_abs_max    | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_mean   | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_p99    | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos00  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos10  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos20  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos30  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos40  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos50  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos60  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos70  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos80  | 0        | 0         |  0     | 0      |      83 |
| policy/log_ratio_abs_pos90  | 0        | 0         |  0     | 0      |      83 |
| policy/n_tokens_dp_gt_10pct | 0        | 0         |  0     | 0      |      83 |
| policy/n_tokens_dp_gt_1pct  | 0        | 0         |  0     | 0      |      83 |
| policy/n_tokens_dp_gt_50pct | 0        | 0         |  0     | 0      |      83 |
| policy/policy_entropy       | 0.123722 | 0.0189336 |  0.057 | 0.1469 |      83 |
| policy/policy_loss          | 0        | 0         | -0     | 0      |      83 |
| policy/policy_lr            | 0        | 0         |  0     | 0      |      83 |
| policy/policy_update_steps  | 1        | 0         |  1     | 1      |      83 |
| policy/ppo_clip_ratio       | 0        | 0         |  0     | 0      |      83 |
| policy/raw_grad_norm        | 0        | 0         |  0     | 0      |      83 |

## Reward Metrics

|                       |     Mean |       Std |    Min |    Max |   Count |
|:----------------------|---------:|----------:|-------:|-------:|--------:|
| reward/avg_pass_at_8  | 0.54622  | 0.0939465 | 0.3438 | 0.8438 |      83 |
| reward/avg_raw_reward | 0.416272 | 0.112108  | 0.1445 | 0.7793 |      83 |

## System Metrics

|                         |     Mean |          Std |      Min |      Max |   Count |
|:------------------------|---------:|-------------:|---------:|---------:|--------:|
| system/process_rss_gb   |  13.911  |  1.27121     |   7.261  |  15.3689 |      83 |
| system/process_vms_gb   |  51.4434 |  0.673945    |  50.0898 |  52.7578 |      83 |
| system/ram_available_gb | 575.799  | 19.8564      | 554.735  | 627.205  |      83 |
| system/ram_percent      |  32.8867 |  2.31763     |  26.9    |  35.3    |      83 |
| system/ram_total_gb     | 857.968  |  4.75679e-05 | 857.967  | 857.968  |      83 |
| system/ram_used_gb      | 282.169  | 19.8564      | 230.763  | 303.233  |      83 |

## Timing Metrics

|                                       |         Mean |         Std |      Min |       Max |   Count |
|:--------------------------------------|-------------:|------------:|---------:|----------:|--------:|
| timing/compute_advantages_and_returns |    0.0802976 |    0.026931 |   0.0314 |    0.1765 |      83 |
| timing/convert_to_training_input      |    4.31686   |    0.687255 |   1.9562 |    5.1247 |      83 |
| timing/fwd_logprobs_values_reward     |   32.4571    |    6.87409  |  14.1649 |   69.6756 |      83 |
| timing/policy_train                   |  187.948     |   32.7461   |  98.0173 |  266.819  |      83 |
| timing/run_training                   |  220.717     |   37.8457   | 113.461  |  308.663  |      83 |
| timing/step                           | 1877.44      | 1202.31     | 605.126  | 9181.46   |      83 |
| timing/sync_weights                   |   22.2263    |    2.01847  |  17.9428 |   27.5955 |      83 |
| timing/train_critic_and_policy        |  188.179     |   32.7593   |  98.173  |  267.078  |      83 |
| timing/wait_for_generation_buffer     | 1630.18      | 1218.35     | 302.928  | 9003.63   |      83 |
| timing/cleanup_old_checkpoints        |    3.75404   |   13.3134   |   0.007  |   73.2928 |      41 |
| timing/save_checkpoints               |   16.8853    |   18.0611   |   7.6926 |   82.7069 |      41 |
| timing/save_hf_model                  |    9.786     |    7.68081  |   5.8565 |   36.4673 |      17 |

## Trainer Metrics

|                     |       Mean |       Std |   Min |   Max |   Count |
|:--------------------|-----------:|----------:|------:|------:|--------:|
| trainer/epoch       |  0.0361446 |  0.187784 |     0 |     1 |      83 |
| trainer/global_step | 41.3976    | 23.4229   |     1 |    82 |      83 |

## Batch_Errors Metrics

|                                               |        Mean |          Std |        Min |          Max |   Count |
|:----------------------------------------------|------------:|-------------:|-----------:|-------------:|--------:|
| batch_errors/total_batches                    |  60.8554    |  10.6749     |  9         |  125         |      83 |
| batch_errors/total_instances                  | 486.843     |  85.3996     | 72         | 1000         |      83 |
| batch_errors/total_successful                 | 429.048     | 104.407      | 72         |  979         |      83 |
| batch_errors/total_failed                     |  21.1807    |  13.1716     |  0         |   57         |      83 |
| batch_errors/total_masked                     |  38.6506    |  26.3954     |  0         |  126         |      83 |
| batch_errors/avg_VerifierTimeoutError         |   0.309534  |   0.530966   |  0.015625  |    2.57895   |      72 |
| batch_errors/total_VerifierTimeoutError       |  18.1389    |  30.3984     |  1         |  147         |      72 |
| batch_errors/avg_ContextLengthExceededError   |   0.129623  |   0.092254   |  0.0163934 |    0.640625  |      82 |
| batch_errors/total_ContextLengthExceededError |   7.93902   |   5.80623    |  1         |   41         |      82 |
| batch_errors/avg_AgentTimeoutError            |   0.298439  |   0.547499   |  0.008     |    2.20339   |      69 |
| batch_errors/total_AgentTimeoutError          |  17.5362    |  32.125      |  1         |  130         |      69 |
| batch_errors/avg_InvalidChatHistory           |   0.312427  |   0.162863   |  0.04      |    0.891892  |      82 |
| batch_errors/total_InvalidChatHistory         |  18.6585    |   8.79284    |  4         |   41         |      82 |
| batch_errors/avg_AgentSetupTimeoutError       |   0.168594  |   0.226175   |  0.008     |    0.719298  |      35 |
| batch_errors/total_AgentSetupTimeoutError     |  10.0857    |  13.6411     |  1         |   41         |      35 |
| batch_errors/avg_DaytonaAuthenticationError   |   0.0210748 |   0.00742164 |  0.015625  |    0.0350877 |      13 |
| batch_errors/total_DaytonaAuthenticationError |   1.23077   |   0.438529   |  1         |    2         |      13 |
| batch_errors/avg_RuntimeError                 |   0.0166667 | nan          |  0.0166667 |    0.0166667 |       1 |
| batch_errors/total_RuntimeError               |   1         | nan          |  1         |    1         |       1 |
| batch_errors/avg_Timeout                      |   0.015873  | nan          |  0.015873  |    0.015873  |       1 |
| batch_errors/total_Timeout                    |   1         | nan          |  1         |    1         |       1 |
| batch_errors/avg_DaytonaError                 |   0.0377139 |   0.0400871  |  0.015625  |    0.171875  |      18 |
| batch_errors/total_DaytonaError               |   2.38889   |   2.54694    |  1         |   11         |      18 |

## Training Progression by Log

### job_639470

| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|------|--------|--------|-----|------|---------------|-------------|
| 1 | 0.7793 | 0.8438 | 0.000000 | 0.0000 | 2948.9 | 2739.0 |
| 2 | 0.4785 | 0.6250 | 0.000000 | -0.0000 | 1838.1 | 1543.4 |
| 3 | 0.2559 | 0.3594 | 0.000000 | -0.0000 | 828.6 | 530.3 |
| 4 | 0.5254 | 0.6250 | 0.000000 | 0.0000 | 1643.3 | 1379.0 |
| 5 | 0.3672 | 0.4844 | 0.000000 | -0.0000 | 1592.0 | 1316.7 |
| 6 | 0.4902 | 0.5781 | 0.000000 | -0.0000 | 968.7 | 657.1 |
| 7 | 0.4492 | 0.5625 | 0.000000 | 0.0000 | 1394.4 | 1111.7 |
| 8 | 0.4629 | 0.6250 | 0.000000 | 0.0000 | 1826.3 | 1488.3 |
| 9 | 0.4219 | 0.5625 | 0.000000 | 0.0000 | 1383.6 | 1101.3 |
| 10 | 0.4609 | 0.5938 | 0.000000 | -0.0000 | 1131.1 | 858.3 |
| 11 | 0.5020 | 0.6719 | 0.000000 | -0.0000 | 1502.1 | 1254.5 |
| 12 | 0.3535 | 0.4375 | 0.000000 | -0.0000 | 1268.0 | 1001.2 |
| 13 | 0.4434 | 0.5938 | 0.000000 | 0.0000 | 1478.8 | 1216.7 |
| 14 | 0.4199 | 0.6094 | 0.000000 | -0.0000 | 1529.1 | 1277.9 |
| 15 | 0.5527 | 0.6250 | 0.000000 | -0.0000 | 1397.2 | 1161.4 |
| 16 | 0.3379 | 0.5000 | 0.000000 | -0.0000 | 2136.4 | 1877.7 |
| 17 | 0.3711 | 0.4531 | 0.000000 | -0.0000 | 1116.8 | 883.8 |
| 18 | 0.4590 | 0.6094 | 0.000000 | -0.0000 | 2036.8 | 1792.5 |
| 19 | 0.3379 | 0.4688 | 0.000000 | 0.0000 | 1344.7 | 1086.8 |
| 20 | 0.4277 | 0.5000 | 0.000000 | -0.0000 | 1843.2 | 1606.6 |
| 21 | 0.3633 | 0.5156 | 0.000000 | 0.0000 | 1421.9 | 1169.5 |
| 22 | 0.3945 | 0.5312 | 0.000000 | 0.0000 | 1494.0 | 1237.3 |
| 23 | 0.4062 | 0.5156 | 0.000000 | -0.0000 | 1294.0 | 1041.8 |
| 24 | 0.3438 | 0.4531 | 0.000000 | -0.0000 | 1641.5 | 1393.6 |
| 25 | 0.5234 | 0.6406 | 0.000000 | -0.0000 | 1090.5 | 876.4 |
| 26 | 0.5078 | 0.5781 | 0.000000 | -0.0000 | 1169.9 | 878.8 |
| 27 | 0.5137 | 0.6406 | 0.000000 | -0.0000 | 1096.8 | 860.3 |
| 28 | 0.4199 | 0.5469 | 0.000000 | 0.0000 | 1415.0 | 1171.5 |

### job_639471

| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|------|--------|--------|-----|------|---------------|-------------|
| 29 | 0.5566 | 0.6481 | 0.000000 | 0.0000 | 4371.3 | 4105.3 |
| 30 | 0.3203 | 0.4219 | 0.000000 | -0.0000 | 695.9 | 443.3 |
| 31 | 0.3984 | 0.5312 | 0.000000 | -0.0000 | 1107.9 | 856.4 |
| 32 | 0.4180 | 0.5000 | 0.000000 | 0.0000 | 2021.9 | 1750.4 |
| 33 | 0.2852 | 0.4062 | 0.000000 | -0.0000 | 1289.5 | 999.2 |
| 34 | 0.5000 | 0.6406 | 0.000000 | -0.0000 | 1301.8 | 1072.4 |
| 35 | 0.3945 | 0.5781 | 0.000000 | -0.0000 | 1785.1 | 1510.3 |
| 36 | 0.5352 | 0.6250 | 0.000000 | 0.0000 | 1218.1 | 941.4 |
| 37 | 0.5000 | 0.6250 | 0.000000 | -0.0000 | 1048.3 | 802.1 |
| 38 | 0.3906 | 0.5312 | 0.000000 | -0.0000 | 1732.0 | 1470.6 |
| 39 | 0.4941 | 0.6250 | 0.000000 | -0.0000 | 1244.4 | 951.3 |
| 40 | 0.4492 | 0.5625 | 0.000000 | 0.0000 | 1248.5 | 996.7 |
| 41 | 0.4199 | 0.5469 | 0.000000 | -0.0000 | 1448.2 | 1228.0 |
| 42 | 0.3848 | 0.4688 | 0.000000 | 0.0000 | 1518.1 | 1247.8 |
| 43 | 0.5371 | 0.6250 | 0.000000 | -0.0000 | 1281.3 | 1041.2 |
| 44 | 0.4004 | 0.5000 | 0.000000 | -0.0000 | 1070.9 | 816.1 |
| 45 | 0.3652 | 0.4688 | 0.000000 | -0.0000 | 2427.1 | 2152.5 |
| 46 | 0.3203 | 0.5156 | 0.000000 | -0.0000 | 2780.7 | 2597.7 |
| 47 | 0.1445 | 0.4375 | 0.000000 | -0.0000 | 4012.7 | 3830.9 |
| 48 | 0.3086 | 0.5312 | 0.000000 | -0.0000 | 3641.6 | 3508.2 |
| 49 | 0.2461 | 0.4531 | 0.000000 | -0.0000 | 3585.2 | 3403.3 |

### job_639473

| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|------|--------|--------|-----|------|---------------|-------------|
| 49 | 0.3770 | 0.5625 | 0.000000 | -0.0000 | 9181.5 | 9003.6 |
| 50 | 0.3066 | 0.4531 | 0.000000 | -0.0000 | 611.4 | 379.4 |
| 51 | 0.4395 | 0.5312 | 0.000000 | -0.0000 | 1837.5 | 1632.0 |
| 52 | 0.4648 | 0.5781 | 0.000000 | -0.0000 | 1732.7 | 1494.7 |
| 53 | 0.3184 | 0.5000 | 0.000000 | -0.0000 | 1262.3 | 1029.2 |
| 54 | 0.4043 | 0.4844 | 0.000000 | 0.0000 | 1903.4 | 1623.4 |
| 55 | 0.3945 | 0.4844 | 0.000000 | -0.0000 | 1296.1 | 1039.0 |
| 56 | 0.3691 | 0.4844 | 0.000000 | 0.0000 | 1565.5 | 1274.6 |
| 57 | 0.4434 | 0.5781 | 0.000000 | 0.0000 | 1726.5 | 1440.4 |
| 58 | 0.4336 | 0.5781 | 0.000000 | -0.0000 | 1407.8 | 1164.7 |
| 59 | 0.4609 | 0.5625 | 0.000000 | -0.0000 | 1490.2 | 1213.3 |
| 60 | 0.4902 | 0.6250 | 0.000000 | -0.0000 | 1325.7 | 1073.0 |
| 61 | 0.5000 | 0.6562 | 0.000000 | -0.0000 | 1404.2 | 1158.4 |
| 62 | 0.4824 | 0.5625 | 0.000000 | 0.0000 | 1122.7 | 856.3 |
| 63 | 0.3809 | 0.4844 | 0.000000 | -0.0000 | 1242.4 | 982.7 |
| 64 | 0.3887 | 0.4844 | 0.000000 | -0.0000 | 1523.1 | 1218.0 |
| 65 | 0.4629 | 0.5469 | 0.000000 | -0.0000 | 1513.4 | 1192.9 |

### job_639474

| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|------|--------|--------|-----|------|---------------|-------------|
| 65 | 0.5820 | 0.6727 | 0.000000 | -0.0000 | 4741.5 | 4442.7 |
| 66 | 0.3535 | 0.5000 | 0.000000 | -0.0000 | 605.1 | 302.9 |
| 67 | 0.4102 | 0.5156 | 0.000000 | -0.0000 | 1183.0 | 936.1 |
| 68 | 0.2285 | 0.3594 | 0.000000 | -0.0000 | 5067.2 | 4796.8 |
| 69 | 0.2480 | 0.5000 | 0.000000 | -0.0000 | 2845.6 | 2663.1 |
| 70 | 0.2461 | 0.5469 | 0.000000 | -0.0000 | 2600.3 | 2461.9 |
| 71 | 0.4375 | 0.6094 | 0.000000 | -0.0000 | 1848.2 | 1645.6 |
| 72 | 0.3438 | 0.4531 | 0.000000 | -0.0000 | 3286.0 | 3069.1 |
| 73 | 0.2227 | 0.3594 | 0.000000 | -0.0000 | 2698.0 | 2502.3 |
| 74 | 0.2812 | 0.4844 | 0.000000 | -0.0000 | 1731.4 | 1534.3 |
| 75 | 0.4922 | 0.6406 | 0.000000 | -0.0000 | 1591.8 | 1391.3 |
| 76 | 0.3574 | 0.5312 | 0.000000 | -0.0000 | 1915.9 | 1706.4 |
| 77 | 0.3340 | 0.4375 | 0.000000 | 0.0000 | 1171.7 | 945.1 |
| 78 | 0.1719 | 0.3438 | 0.000000 | -0.0000 | 1996.0 | 1752.6 |
| 79 | 0.7148 | 0.7812 | 0.000000 | -0.0000 | 3207.1 | 3026.0 |
| 80 | 0.5039 | 0.6250 | 0.000000 | -0.0000 | 1758.6 | 1521.0 |

### job_639475

| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|------|--------|--------|-----|------|---------------|-------------|
| 82 | 0.7676 | 0.8281 | 0.000000 | 0.0000 | 2771.7 | 2593.2 |

## Timing Analysis

### Average Time Breakdown (% of step time)

| Component | Avg % of Step Time |
|-----------|-------------------|
| wait_for_generation_buffer | 83.2% |
| run_training | 15.0% |
| train_critic_and_policy | 12.8% |
| policy_train | 12.8% |
| fwd_logprobs_values_reward | 2.2% |
| sync_weights | 1.5% |
| save_checkpoints | 1.3% |
| save_hf_model | 0.7% |
| cleanup_old_checkpoints | 0.5% |
| convert_to_training_input | 0.3% |
| 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_639470 | 0.4418 | 0.5625 | 1493.9938 | 1232.6167 | 4864.4295 | 1.7768 |
| job_639471 | 0.3985 | 0.5353 | 1944.2947 | 1701.1955 | 4306.7650 | 1.7485 |
| job_639473 | 0.4187 | 0.5386 | 1890.9678 | 1633.8600 | 4557.1723 | 1.6259 |
| job_639474 | 0.3705 | 0.5225 | 2390.4636 | 2168.5831 | 3890.0232 | 1.7568 |
| job_639475 | 0.7676 | 0.8281 | 2771.6856 | 2593.2438 | 3726.2617 | 0.0000 |

## 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_632522 | 8.5 | 0.0 | 380.3 tok/s | 35.3% | 86.8% |
| job_632523 | 9.7 | 0.0 | 433.1 tok/s | 40.9% | 87.6% |
| job_632524 | 10.4 | 0.0 | 457.7 tok/s | 43.2% | 86.4% |
| job_632525 | 9.1 | 0.0 | 404.4 tok/s | 37.4% | 88.5% |
| job_639470 | 11.5 | 0.4 | 492.9 tok/s | 51.0% | 73.8% |
| job_639471 | 8.8 | 0.4 | 374.1 tok/s | 39.0% | 72.1% |
| job_639473 | 10.4 | 0.3 | 443.9 tok/s | 46.0% | 75.4% |
| job_639474 | 7.2 | 0.1 | 315.1 tok/s | 31.4% | 81.6% |
| job_639475 | 7.6 | 0.0 | 338.0 tok/s | 31.2% | 84.6% |
| job_639476 | 3.4 | 0.0 | 150.5 tok/s | 8.7% | 67.5% |

### 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_632522

- **Running requests/engine**: avg=8.5, max=21
- **Waiting requests**: avg=0.0, max=0
- **Generation throughput/engine**: avg=380.3 tok/s, max=731.5 tok/s
- **KV cache usage**: avg=35.3%
- **Prefix cache hit rate**: avg=86.8%
- ℹ️ **Moderate utilization**

#### job_632523

- **Running requests/engine**: avg=9.7, max=21
- **Waiting requests**: avg=0.0, max=1
- **Generation throughput/engine**: avg=433.1 tok/s, max=779.6 tok/s
- **KV cache usage**: avg=40.9%
- **Prefix cache hit rate**: avg=87.6%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_632524

- **Running requests/engine**: avg=10.4, max=24
- **Waiting requests**: avg=0.0, max=8
- **Generation throughput/engine**: avg=457.7 tok/s, max=1016.5 tok/s
- **KV cache usage**: avg=43.2%
- **Prefix cache hit rate**: avg=86.4%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_632525

- **Running requests/engine**: avg=9.1, max=24
- **Waiting requests**: avg=0.0, max=0
- **Generation throughput/engine**: avg=404.4 tok/s, max=845.3 tok/s
- **KV cache usage**: avg=37.4%
- **Prefix cache hit rate**: avg=88.5%
- ℹ️ **Moderate utilization**

#### job_639470

- **Running requests/engine**: avg=11.5, max=32
- **Waiting requests**: avg=0.4, max=31
- **Generation throughput/engine**: avg=492.9 tok/s, max=1265.8 tok/s
- **KV cache usage**: avg=51.0%
- **Prefix cache hit rate**: avg=73.8%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_639471

- **Running requests/engine**: avg=8.8, max=24
- **Waiting requests**: avg=0.4, max=39
- **Generation throughput/engine**: avg=374.1 tok/s, max=939.4 tok/s
- **KV cache usage**: avg=39.0%
- **Prefix cache hit rate**: avg=72.1%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_639473

- **Running requests/engine**: avg=10.4, max=24
- **Waiting requests**: avg=0.3, max=22
- **Generation throughput/engine**: avg=443.9 tok/s, max=958.4 tok/s
- **KV cache usage**: avg=46.0%
- **Prefix cache hit rate**: avg=75.4%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_639474

- **Running requests/engine**: avg=7.2, max=24
- **Waiting requests**: avg=0.1, max=16
- **Generation throughput/engine**: avg=315.1 tok/s, max=974.2 tok/s
- **KV cache usage**: avg=31.4%
- **Prefix cache hit rate**: avg=81.6%
- ✅ **Well-utilized**: Engines saturated (waiting > 0)

#### job_639475

- **Running requests/engine**: avg=7.6, max=20
- **Waiting requests**: avg=0.0, max=0
- **Generation throughput/engine**: avg=338.0 tok/s, max=782.0 tok/s
- **KV cache usage**: avg=31.2%
- **Prefix cache hit rate**: avg=84.6%
- ℹ️ **Moderate utilization**

#### job_639476

- **Running requests/engine**: avg=3.4, max=9
- **Waiting requests**: avg=0.0, max=0
- **Generation throughput/engine**: avg=150.5 tok/s, max=425.9 tok/s
- **KV cache usage**: avg=8.7%
- **Prefix cache hit rate**: avg=67.5%
- ⚠️ **Underutilized**: Engines starved for requests (0 waiting, avg 3.4 running)
  - Bottleneck is likely upstream (environment execution, not inference)

## Trial-Level Analysis (from result.json)

Total trials parsed: 46308

### Turn Count Statistics

| Metric | Value |
|--------|-------|
| Mean | 5.4 |
| Median | 5.0 |
| Std | 2.6 |
| Min | 1 |
| Max | 137 |
| Count | 45918 |

### Exception Distribution

| Exception Type | Count | % |
|---------------|-------|---|
| No exception | 31188 | 67.3% |
| AgentTimeoutError | 12483 | 27.0% |
| VerifierTimeoutError | 1536 | 3.3% |
| ContextLengthExceededError | 671 | 1.4% |
| AgentSetupTimeoutError | 366 | 0.8% |
| DaytonaError | 46 | 0.1% |
| DaytonaAuthenticationError | 16 | 0.0% |
| Timeout | 1 | 0.0% |
| RuntimeError | 1 | 0.0% |

### Turn Count by Exception Type

| Exception Type | Mean Turns | Median Turns | Count |
|---------------|-----------|-------------|-------|
| RuntimeError | 13.0 | 13.0 | 1 |
| No exception | 6.0 | 5.0 | 31188 |
| VerifierTimeoutError | 5.7 | 5.0 | 1536 |
| ContextLengthExceededError | 4.8 | 4.0 | 671 |
| AgentTimeoutError | 3.9 | 4.0 | 12483 |
| DaytonaAuthenticationError | 3.3 | 3.0 | 16 |
| DaytonaError | 3.1 | 2.5 | 22 |
| Timeout | 2.0 | 2.0 | 1 |

### Turn Count by Outcome

| Outcome | Mean Turns | Median Turns | Count |
|---------|-----------|-------------|-------|
| Success | 5.6 | 5.0 | 19074 |
| Failure | 5.3 | 5.0 | 23341 |

### Reward Summary

- Mean reward: 0.4497
- Success rate: 45.0%
- Trials with reward data: 42415