初始化项目,由ModelHub XC社区提供模型
Model: laion/a3-rl-DCAgent_exp_rpt_curriculum-medium-10-8B Source: Original Platform
This commit is contained in:
17
training_logs/20260605_214218_metrics_job_591150.csv
Normal file
17
training_logs/20260605_214218_metrics_job_591150.csv
Normal file
@@ -0,0 +1,17 @@
|
||||
async/discard_rate,async/discarded_count,async/effective_batch_groups,async/effective_batch_samples,async/staleness_max,async/staleness_mean,async/staleness_min,async/staleness_ratio,generate/avg_num_tokens,generate/avg_tokens_non_zero_rewards,generate/avg_tokens_zero_rewards,generate/max_num_tokens,generate/min_num_tokens,generate/std_num_tokens,loss/avg_final_rewards,loss/avg_raw_advantages,loss/avg_raw_advantages_abs,policy/final_loss,policy/log_ratio_abs_max,policy/log_ratio_abs_mean,policy/log_ratio_abs_p99,policy/log_ratio_abs_pos00,policy/log_ratio_abs_pos10,policy/log_ratio_abs_pos20,policy/log_ratio_abs_pos30,policy/log_ratio_abs_pos40,policy/log_ratio_abs_pos50,policy/log_ratio_abs_pos60,policy/log_ratio_abs_pos70,policy/log_ratio_abs_pos80,policy/log_ratio_abs_pos90,policy/n_tokens_dp_gt_10pct,policy/n_tokens_dp_gt_1pct,policy/n_tokens_dp_gt_50pct,policy/policy_entropy,policy/policy_loss,policy/policy_lr,policy/policy_update_steps,policy/ppo_clip_ratio,policy/raw_grad_norm,reward/avg_pass_at_8,reward/avg_raw_reward,system/process_rss_gb,system/process_vms_gb,system/ram_available_gb,system/ram_percent,system/ram_total_gb,system/ram_used_gb,timing/compute_advantages_and_returns,timing/convert_to_training_input,timing/fwd_logprobs_values_reward,timing/policy_train,timing/run_training,timing/step,timing/sync_weights,timing/train_critic_and_policy,timing/wait_for_generation_buffer,trainer/epoch,trainer/global_step,batch_errors/total_batches,batch_errors/total_instances,batch_errors/total_successful,batch_errors/total_failed,batch_errors/total_masked,batch_errors/avg_ContextLengthExceededError,batch_errors/total_ContextLengthExceededError,timing/cleanup_old_checkpoints,timing/save_checkpoints,batch_errors/avg_DaytonaError,batch_errors/total_DaytonaError,batch_errors/avg_VerifierTimeoutError,batch_errors/total_VerifierTimeoutError,batch_errors/avg_InvalidChatHistory,batch_errors/total_InvalidChatHistory,batch_errors/avg_AgentTimeoutError,batch_errors/total_AgentTimeoutError,timing/save_hf_model,batch_errors/avg_RuntimeError,batch_errors/total_RuntimeError
|
||||
0.0,0,64,512,0,0.0,0,0.0,8795.541,7557.8707,9821.0393,28234,1862,5511.4955,0.4531,0.0154,0.1383,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1147,-0.0,0.0,1.0,0.0,0.0154,0.6094,0.4531,12.2192,50.7338,643.6898,25.0,857.9676,214.2778,0.1433,4.903,67.5598,331.9725,399.8923,2717.3975,19.1362,332.1889,2293.4656,0,1,127.0,1016.0,978.0,16.0,38.0,0.31496062992125984,40.0,,,,,,,,,,,,,
|
||||
0.0,0,64,512,1,0.8906,0,0.8906,10265.4648,9975.6566,10448.2102,30188,1,7251.4743,0.3867,0.0046,0.1482,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1058,0.0,0.0,1.0,0.0,0.0194,0.5312,0.3867,12.8623,51.2017,641.1227,25.3,857.9676,216.8448,0.0832,5.4115,69.2781,417.5714,487.2024,1580.8868,19.4255,417.8407,1068.8446,0,2,61.0,488.0,289.0,42.0,199.0,3.278688524590164,200.0,10.894,19.6772,0.04918032786885246,3.0,0.03278688524590164,2.0,0.03278688524590164,2.0,,,,,
|
||||
0.0,0,64,512,2,1.7188,1,1.0,6598.4668,9521.9474,6088.8693,29419,1,7508.721,0.1484,0.014,0.1069,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0709,0.0,0.0,1.0,0.0,0.0109,0.2969,0.1484,12.9957,51.341,637.1793,25.7,857.9676,220.7883,0.0935,4.8247,53.3349,340.9789,394.6829,675.1796,19.7755,341.254,255.893,0,3,60.0,480.0,411.0,22.0,69.0,1.05,63.0,,,,,,,0.016666666666666666,1.0,0.016666666666666666,1.0,,,
|
||||
0.0,0,64,512,3,2.4219,1,1.0,9999.6543,9601.1462,10199.4927,29478,1,7901.9526,0.334,0.0083,0.0995,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1012,0.0,0.0,1.0,0.0,0.0119,0.4531,0.334,13.3472,51.7056,629.7285,26.6,857.9676,228.2391,0.0901,5.533,67.9116,401.1539,469.4069,1064.6399,19.7968,401.4046,569.8905,0,4,65.0,520.0,384.0,31.0,136.0,2.0153846153846153,131.0,0.0057,12.0885,,,,,0.07692307692307693,5.0,,,,,
|
||||
0.0,0,64,512,4,3.0625,2,1.0,9386.873,11132.7622,8710.2818,29967,1,8316.5867,0.2793,-0.0005,0.1511,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0843,-0.0,0.0,1.0,0.0,0.0126,0.4375,0.2793,13.3903,51.7529,626.9168,26.9,857.9676,231.0508,0.0708,5.2362,79.0552,433.729,513.1297,1514.2234,19.1602,434.0033,976.6598,0,5,62.0,496.0,384.0,32.0,112.0,1.9193548387096775,119.0,,,,,,,,,,,6.6576,,
|
||||
0.0,0,64,512,4,3.7656,3,1.0,10051.041,12819.4872,8837.9017,29419,1,8180.7526,0.3047,0.0255,0.2105,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0891,0.0,0.0,1.0,0.0,0.0202,0.5469,0.3047,13.8707,51.8625,639.0039,25.5,857.9676,218.9637,0.077,5.2138,69.1587,408.4466,477.9141,961.7158,18.673,408.6779,459.8809,0,6,63.0,504.0,316.0,42.0,187.0,2.9365079365079363,185.0,0.0083,9.9275,,,,,0.031746031746031744,2.0,,,,0.015873015873015872,1.0
|
||||
0.0,0,64,512,5,4.7812,4,1.0,8289.875,10832.8,7553.2594,31013,1,8640.4314,0.2246,-0.0009,0.0888,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0742,0.0,0.0,1.0,0.0,0.0102,0.3281,0.2246,13.6701,51.6724,636.2298,25.8,857.9676,221.7378,0.0697,5.0448,66.0801,402.6137,469.0069,1264.3273,18.9369,402.8567,771.3001,0,7,60.0,480.0,268.0,53.0,211.0,3.45,207.0,,,0.03333333333333333,2.0,,,0.06666666666666667,4.0,,,,0.016666666666666666,1.0
|
||||
0.0,0,64,512,6,5.7656,5,1.0,8230.7988,14968.2024,6908.5047,29456,1,9244.7451,0.1641,0.0138,0.1045,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0659,-0.0,0.0,1.0,0.0,0.0139,0.3438,0.1641,14.0063,52.0513,628.7164,26.7,857.9676,229.2512,0.065,4.8541,69.1673,417.4759,486.978,2605.5652,11.9483,417.7453,2101.7529,0,8,64.0,512.0,487.0,7.0,25.0,0.390625,25.0,0.008,10.0222,,,,,,,,,,,
|
||||
0.0,0,64,512,0,0.0,0,0.0,10444.8711,9636.092,11216.6069,30180,1,6434.7455,0.4883,0.0112,0.1585,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1128,0.0,0.0,1.0,0.0,0.0149,0.6562,0.4883,13.9713,52.0759,624.9913,27.2,857.9676,232.9763,0.0687,5.276,68.7787,378.0224,447.1007,3884.0127,18.4616,378.2529,3413.142,1,9,58.0,464.0,301.0,36.0,163.0,3.0689655172413794,178.0,,,0.05172413793103448,3.0,,,,,,,,,
|
||||
0.0,0,64,512,1,1.0,1,1.0,8861.4961,11804.4167,7709.9185,29409,1,8814.3882,0.2812,0.0029,0.0973,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0734,0.0,0.0,1.0,0.0,0.0095,0.4062,0.2812,14.7997,52.574,627.1608,26.9,857.9676,230.8068,0.0644,5.1711,72.0844,417.3814,489.7789,926.0357,19.0802,417.6298,412.0023,1,10,64.0,512.0,332.0,36.0,179.0,2.640625,169.0,0.0076,9.5829,0.046875,3.0,0.015625,1.0,0.015625,1.0,0.03125,2.0,6.3468,,
|
||||
0.0,0,64,512,2,1.7031,0,0.9531,7327.1992,9194.4762,6845.4693,28487,1,7502.5285,0.2051,0.0026,0.0657,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0804,0.0,0.0,1.0,0.0,0.01,0.2812,0.2051,15.1613,52.9576,624.4334,27.2,857.9676,233.5342,0.0601,4.715,63.8687,351.7918,415.97,995.055,19.1877,352.0408,555.1789,1,11,62.0,496.0,358.0,30.0,138.0,2.193548387096774,136.0,,,0.03225806451612903,2.0,,,,,,,,,
|
||||
0.0,0,64,512,3,2.0938,1,1.0,9918.1191,11967.1758,8943.7839,30360,1,8420.1283,0.3223,0.0095,0.1672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0848,0.0,0.0,1.0,0.0,0.0144,0.4844,0.3223,15.4885,53.2342,634.7371,26.0,857.9676,223.2305,0.0831,5.3606,76.0698,426.1412,502.5426,1539.2977,19.1177,426.3893,1012.2655,1,12,62.0,496.0,314.0,40.0,181.0,2.8870967741935485,179.0,0.0072,9.3904,0.06451612903225806,4.0,0.016129032258064516,1.0,,,,,,,
|
||||
0.0,0,64,512,4,2.5938,2,1.0,9382.0039,12392.648,8409.5736,30099,1,9042.8211,0.2441,-0.0046,0.1564,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0751,-0.002,0.0,1.0,0.0,0.0148,0.4219,0.2441,15.3411,53.0607,632.1736,26.3,857.9676,225.7939,0.0688,5.2259,70.3939,431.8179,502.543,1232.3428,19.0569,432.0799,705.4787,1,13,64.0,512.0,303.0,44.0,209.0,3.203125,205.0,,,0.0625,4.0,,,,,,,,,
|
||||
0.0,0,64,512,4,3.0469,3,1.0,8458.4961,12622.1583,7183.9056,30096,1,8927.1653,0.2344,-0.0072,0.1074,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0716,0.0,0.0,1.0,0.0,0.0087,0.375,0.2344,15.6031,53.179,628.9873,26.7,857.9676,228.9803,0.0787,5.1752,73.5778,416.5122,490.4141,1429.1938,19.0701,416.7571,914.4966,1,14,60.0,480.0,334.0,33.0,146.0,2.716666666666667,163.0,0.0072,9.1814,0.03333333333333333,2.0,,,,,,,,,
|
||||
0.0,0,64,512,4,4.0,4,1.0,9658.8066,12490.4551,8288.1246,29820,1,8982.0547,0.3262,0.0033,0.186,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0761,0.0,0.0,1.0,0.0,0.0122,0.4688,0.3262,15.4732,53.0505,626.9476,26.9,857.9676,231.02,0.0661,5.096,76.3654,444.7385,521.4854,1171.3137,18.8645,445.0534,625.8348,1,15,63.0,504.0,225.0,54.0,278.0,4.349206349206349,274.0,,,0.06349206349206349,4.0,,,,,,,5.8824,0.015873015873015872,1.0
|
||||
0.0,0,64,512,5,5.0,5,1.0,7392.418,16034.6364,6113.5247,29621,1,9341.5481,0.1289,-0.0013,0.1187,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0553,0.0,0.0,1.0,0.0,0.0095,0.2812,0.1289,15.7165,53.3323,624.8472,27.2,857.9676,233.1204,0.0635,4.8164,68.4974,418.1021,486.9176,2531.0981,13.3106,418.3564,2026.0146,1,16,,,,,,,,0.0074,9.3875,,,,,,,,,,,
|
||||
|
258
training_logs/20260605_214218_metrics_report.md
Normal file
258
training_logs/20260605_214218_metrics_report.md
Normal file
@@ -0,0 +1,258 @@
|
||||
# SkyRL Training Metrics Analysis
|
||||
|
||||
Generated from 1 log files
|
||||
|
||||
## Overview
|
||||
|
||||
| Log File | Total Steps | Metric Blocks | Final Reward (mean) | Final Reward (max) | Total Time (s) |
|
||||
|----------|-------------|---------------|---------------------|-------------------|----------------|
|
||||
| job_591150 | 16 | 16 | 0.2828 | 0.4883 | 26092.3 |
|
||||
|
||||
## Async Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:------------------------------|-----------:|---------:|------:|---------:|--------:|
|
||||
| async/discard_rate | 0 | 0 | 0 | 0 | 16 |
|
||||
| async/discarded_count | 0 | 0 | 0 | 0 | 16 |
|
||||
| async/effective_batch_groups | 64 | 0 | 64 | 64 | 16 |
|
||||
| async/effective_batch_samples | 512 | 0 | 512 | 512 | 16 |
|
||||
| async/staleness_max | 3 | 1.82574 | 0 | 6 | 16 |
|
||||
| async/staleness_mean | 2.61524 | 1.73471 | 0 | 5.7656 | 16 |
|
||||
| async/staleness_min | 2 | 1.78885 | 0 | 5 | 16 |
|
||||
| async/staleness_ratio | 0.865231 | 0.338976 | 0 | 1 | 16 |
|
||||
|
||||
## Generate Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:-------------------------------------|----------:|---------:|---------:|---------:|--------:|
|
||||
| generate/avg_num_tokens | 8941.32 | 1152.12 | 6598.47 | 10444.9 | 16 |
|
||||
| generate/avg_tokens_non_zero_rewards | 11409.5 | 2195.47 | 7557.87 | 16034.6 | 16 |
|
||||
| generate/avg_tokens_zero_rewards | 8329.9 | 1544.59 | 6088.87 | 11216.6 | 16 |
|
||||
| generate/max_num_tokens | 29702.9 | 683.514 | 28234 | 31013 | 16 |
|
||||
| generate/min_num_tokens | 117.312 | 465.25 | 1 | 1862 | 16 |
|
||||
| generate/std_num_tokens | 8126.35 | 1067.38 | 5511.5 | 9341.55 | 16 |
|
||||
|
||||
## Loss Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:----------------------------|----------:|-----------:|--------:|-------:|--------:|
|
||||
| loss/avg_final_rewards | 0.282837 | 0.102531 | 0.1289 | 0.4883 | 16 |
|
||||
| loss/avg_raw_advantages | 0.0060375 | 0.00855639 | -0.0072 | 0.0255 | 16 |
|
||||
| loss/avg_raw_advantages_abs | 0.131562 | 0.0391317 | 0.0657 | 0.2105 | 16 |
|
||||
|
||||
## Policy Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:----------------------------|-----------:|-----------:|--------:|-------:|--------:|
|
||||
| policy/final_loss | 0 | 0 | -0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_max | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_mean | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_p99 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos00 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos10 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos20 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos30 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos40 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos50 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos60 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos70 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos80 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/log_ratio_abs_pos90 | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/n_tokens_dp_gt_10pct | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/n_tokens_dp_gt_1pct | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/n_tokens_dp_gt_50pct | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/policy_entropy | 0.083475 | 0.0171367 | 0.0553 | 0.1147 | 16 |
|
||||
| policy/policy_loss | -0.000125 | 0.0005 | -0.002 | 0 | 16 |
|
||||
| policy/policy_lr | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/policy_update_steps | 1 | 0 | 1 | 1 | 16 |
|
||||
| policy/ppo_clip_ratio | 0 | 0 | 0 | 0 | 16 |
|
||||
| policy/raw_grad_norm | 0.0130313 | 0.00340993 | 0.0087 | 0.0202 | 16 |
|
||||
|
||||
## Reward Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:----------------------|---------:|---------:|-------:|-------:|--------:|
|
||||
| reward/avg_pass_at_8 | 0.432613 | 0.114214 | 0.2812 | 0.6562 | 16 |
|
||||
| reward/avg_raw_reward | 0.282837 | 0.102531 | 0.1289 | 0.4883 | 16 |
|
||||
|
||||
## System Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:------------------------|---------:|---------:|---------:|---------:|--------:|
|
||||
| system/process_rss_gb | 14.2448 | 1.12927 | 12.2192 | 15.7165 | 16 |
|
||||
| system/process_vms_gb | 52.2366 | 0.825632 | 50.7338 | 53.3323 | 16 |
|
||||
| system/ram_available_gb | 631.679 | 6.2014 | 624.433 | 643.69 | 16 |
|
||||
| system/ram_percent | 26.3687 | 0.72454 | 25 | 27.2 | 16 |
|
||||
| system/ram_total_gb | 857.968 | 0 | 857.968 | 857.968 | 16 |
|
||||
| system/ram_used_gb | 226.288 | 6.20141 | 214.278 | 233.534 | 16 |
|
||||
|
||||
## Timing Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:--------------------------------------|------------:|------------:|---------:|----------:|--------:|
|
||||
| timing/compute_advantages_and_returns | 0.077875 | 0.0200385 | 0.0601 | 0.1433 | 16 |
|
||||
| timing/convert_to_training_input | 5.11608 | 0.237222 | 4.715 | 5.533 | 16 |
|
||||
| timing/fwd_logprobs_values_reward | 69.4489 | 5.87917 | 53.3349 | 79.0552 | 16 |
|
||||
| timing/policy_train | 402.403 | 33.9185 | 331.973 | 444.738 | 16 |
|
||||
| timing/run_training | 472.185 | 38.58 | 394.683 | 521.485 | 16 |
|
||||
| timing/step | 1630.77 | 862.939 | 675.18 | 3884.01 | 16 |
|
||||
| timing/sync_weights | 18.3126 | 2.25802 | 11.9483 | 19.7968 | 16 |
|
||||
| timing/train_critic_and_policy | 402.658 | 33.9295 | 332.189 | 445.053 | 16 |
|
||||
| timing/wait_for_generation_buffer | 1135.13 | 869.349 | 255.893 | 3413.14 | 16 |
|
||||
| timing/cleanup_old_checkpoints | 1.36818 | 3.84901 | 0.0057 | 10.894 | 8 |
|
||||
| timing/save_checkpoints | 11.1572 | 3.56358 | 9.1814 | 19.6772 | 8 |
|
||||
| timing/save_hf_model | 6.2956 | 0.390128 | 5.8824 | 6.6576 | 3 |
|
||||
|
||||
## Trainer Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:--------------------|-------:|---------:|------:|------:|--------:|
|
||||
| trainer/epoch | 0.5 | 0.516398 | 0 | 1 | 16 |
|
||||
| trainer/global_step | 8.5 | 4.76095 | 1 | 16 | 16 |
|
||||
|
||||
## Batch_Errors Metrics
|
||||
|
||||
| | Mean | Std | Min | Max | Count |
|
||||
|:----------------------------------------------|------------:|--------------:|------------:|-------------:|--------:|
|
||||
| batch_errors/total_batches | 66.3333 | 16.8932 | 58 | 127 | 15 |
|
||||
| batch_errors/total_instances | 530.667 | 135.146 | 464 | 1016 | 15 |
|
||||
| batch_errors/total_successful | 378.933 | 177.363 | 225 | 978 | 15 |
|
||||
| batch_errors/total_failed | 34.5333 | 12.6935 | 7 | 54 | 15 |
|
||||
| batch_errors/total_masked | 151.4 | 68.5709 | 25 | 278 | 15 |
|
||||
| batch_errors/avg_ContextLengthExceededError | 2.42765 | 1.13601 | 0.314961 | 4.34921 | 15 |
|
||||
| batch_errors/total_ContextLengthExceededError | 151.6 | 67.7725 | 25 | 274 | 15 |
|
||||
| batch_errors/avg_DaytonaError | 0.0485792 | 0.0132974 | 0.0322581 | 0.0645161 | 9 |
|
||||
| batch_errors/total_DaytonaError | 3 | 0.866025 | 2 | 4 | 9 |
|
||||
| batch_errors/avg_VerifierTimeoutError | 0.0215136 | 0.00976617 | 0.015625 | 0.0327869 | 3 |
|
||||
| batch_errors/total_VerifierTimeoutError | 1.33333 | 0.57735 | 1 | 2 | 3 |
|
||||
| batch_errors/avg_InvalidChatHistory | 0.0400691 | 0.0258191 | 0.015625 | 0.0769231 | 6 |
|
||||
| batch_errors/total_InvalidChatHistory | 2.5 | 1.64317 | 1 | 5 | 6 |
|
||||
| batch_errors/avg_AgentTimeoutError | 0.0239583 | 0.010312 | 0.0166667 | 0.03125 | 2 |
|
||||
| batch_errors/total_AgentTimeoutError | 1.5 | 0.707107 | 1 | 2 | 2 |
|
||||
| batch_errors/avg_RuntimeError | 0.0161376 | 0.000458214 | 0.015873 | 0.0166667 | 3 |
|
||||
| batch_errors/total_RuntimeError | 1 | 0 | 1 | 1 | 3 |
|
||||
|
||||
## Training Progression by Log
|
||||
|
||||
### job_591150
|
||||
|
||||
| Step | Reward | Pass@8 | KL | Loss | Step Time (s) | Gen Wait (s) |
|
||||
|------|--------|--------|-----|------|---------------|-------------|
|
||||
| 1 | 0.4531 | 0.6094 | 0.000000 | -0.0000 | 2717.4 | 2293.5 |
|
||||
| 2 | 0.3867 | 0.5312 | 0.000000 | 0.0000 | 1580.9 | 1068.8 |
|
||||
| 3 | 0.1484 | 0.2969 | 0.000000 | 0.0000 | 675.2 | 255.9 |
|
||||
| 4 | 0.3340 | 0.4531 | 0.000000 | 0.0000 | 1064.6 | 569.9 |
|
||||
| 5 | 0.2793 | 0.4375 | 0.000000 | -0.0000 | 1514.2 | 976.7 |
|
||||
| 6 | 0.3047 | 0.5469 | 0.000000 | 0.0000 | 961.7 | 459.9 |
|
||||
| 7 | 0.2246 | 0.3281 | 0.000000 | 0.0000 | 1264.3 | 771.3 |
|
||||
| 8 | 0.1641 | 0.3438 | 0.000000 | -0.0000 | 2605.6 | 2101.8 |
|
||||
| 9 | 0.4883 | 0.6562 | 0.000000 | 0.0000 | 3884.0 | 3413.1 |
|
||||
| 10 | 0.2812 | 0.4062 | 0.000000 | 0.0000 | 926.0 | 412.0 |
|
||||
| 11 | 0.2051 | 0.2812 | 0.000000 | 0.0000 | 995.1 | 555.2 |
|
||||
| 12 | 0.3223 | 0.4844 | 0.000000 | 0.0000 | 1539.3 | 1012.3 |
|
||||
| 13 | 0.2441 | 0.4219 | 0.000000 | -0.0000 | 1232.3 | 705.5 |
|
||||
| 14 | 0.2344 | 0.3750 | 0.000000 | 0.0000 | 1429.2 | 914.5 |
|
||||
| 15 | 0.3262 | 0.4688 | 0.000000 | 0.0000 | 1171.3 | 625.8 |
|
||||
| 16 | 0.1289 | 0.2812 | 0.000000 | 0.0000 | 2531.1 | 2026.0 |
|
||||
|
||||
## Timing Analysis
|
||||
|
||||
### Average Time Breakdown (% of step time)
|
||||
|
||||
| Component | Avg % of Step Time |
|
||||
|-----------|-------------------|
|
||||
| wait_for_generation_buffer | 62.9% |
|
||||
| run_training | 35.3% |
|
||||
| train_critic_and_policy | 30.2% |
|
||||
| policy_train | 30.1% |
|
||||
| fwd_logprobs_values_reward | 5.2% |
|
||||
| sync_weights | 1.4% |
|
||||
| save_checkpoints | 0.8% |
|
||||
| save_hf_model | 0.5% |
|
||||
| convert_to_training_input | 0.4% |
|
||||
| cleanup_old_checkpoints | 0.1% |
|
||||
| compute_advantages_and_returns | 0.0% |
|
||||
|
||||
## 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_591150 | 6.4 | 0.0 | 287.6 tok/s | 29.4% | 90.9% |
|
||||
|
||||
### 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_591150
|
||||
|
||||
- **Running requests/engine**: avg=6.4, max=19
|
||||
- **Waiting requests**: avg=0.0, max=0
|
||||
- **Generation throughput/engine**: avg=287.6 tok/s, max=720.3 tok/s
|
||||
- **KV cache usage**: avg=29.4%
|
||||
- **Prefix cache hit rate**: avg=90.9%
|
||||
- ⚠️ **Low throughput**: 288 tok/s << expected 1000+ tok/s for saturated 8B model
|
||||
|
||||
## Trial-Level Analysis (from result.json)
|
||||
|
||||
Total trials parsed: 8192
|
||||
|
||||
### Turn Count Statistics
|
||||
|
||||
| Metric | Value |
|
||||
|--------|-------|
|
||||
| Mean | 11.8 |
|
||||
| Median | 10.0 |
|
||||
| Std | 6.7 |
|
||||
| Min | 1 |
|
||||
| Max | 151 |
|
||||
| Count | 8185 |
|
||||
|
||||
### Exception Distribution
|
||||
|
||||
| Exception Type | Count | % |
|
||||
|---------------|-------|---|
|
||||
| No exception | 5561 | 67.9% |
|
||||
| ContextLengthExceededError | 2311 | 28.2% |
|
||||
| AgentTimeoutError | 286 | 3.5% |
|
||||
| DaytonaError | 27 | 0.3% |
|
||||
| VerifierTimeoutError | 4 | 0.0% |
|
||||
| RuntimeError | 3 | 0.0% |
|
||||
|
||||
### Turn Count by Exception Type
|
||||
|
||||
| Exception Type | Mean Turns | Median Turns | Count |
|
||||
|---------------|-----------|-------------|-------|
|
||||
| VerifierTimeoutError | 17.5 | 15.5 | 4 |
|
||||
| ContextLengthExceededError | 13.9 | 12.0 | 2311 |
|
||||
| No exception | 11.0 | 10.0 | 5561 |
|
||||
| RuntimeError | 10.3 | 10.0 | 3 |
|
||||
| AgentTimeoutError | 10.2 | 7.0 | 286 |
|
||||
| DaytonaError | 10.1 | 9.0 | 20 |
|
||||
|
||||
### Turn Count by Outcome
|
||||
|
||||
| Outcome | Mean Turns | Median Turns | Count |
|
||||
|---------|-----------|-------------|-------|
|
||||
| Success | 10.0 | 9.0 | 2317 |
|
||||
| Failure | 11.6 | 10.0 | 3527 |
|
||||
|
||||
### Reward Summary
|
||||
|
||||
- Mean reward: 0.3965
|
||||
- Success rate: 39.6%
|
||||
- Trials with reward data: 5844
|
||||
|
||||
17
training_logs/20260605_214218_metrics_table.csv
Normal file
17
training_logs/20260605_214218_metrics_table.csv
Normal file
@@ -0,0 +1,17 @@
|
||||
log_file,async/discard_rate,async/discarded_count,async/effective_batch_groups,async/effective_batch_samples,async/staleness_max,async/staleness_mean,async/staleness_min,async/staleness_ratio,generate/avg_num_tokens,generate/avg_tokens_non_zero_rewards,generate/avg_tokens_zero_rewards,generate/max_num_tokens,generate/min_num_tokens,generate/std_num_tokens,loss/avg_final_rewards,loss/avg_raw_advantages,loss/avg_raw_advantages_abs,policy/final_loss,policy/log_ratio_abs_max,policy/log_ratio_abs_mean,policy/log_ratio_abs_p99,policy/log_ratio_abs_pos00,policy/log_ratio_abs_pos10,policy/log_ratio_abs_pos20,policy/log_ratio_abs_pos30,policy/log_ratio_abs_pos40,policy/log_ratio_abs_pos50,policy/log_ratio_abs_pos60,policy/log_ratio_abs_pos70,policy/log_ratio_abs_pos80,policy/log_ratio_abs_pos90,policy/n_tokens_dp_gt_10pct,policy/n_tokens_dp_gt_1pct,policy/n_tokens_dp_gt_50pct,policy/policy_entropy,policy/policy_loss,policy/policy_lr,policy/policy_update_steps,policy/ppo_clip_ratio,policy/raw_grad_norm,reward/avg_pass_at_8,reward/avg_raw_reward,system/process_rss_gb,system/process_vms_gb,system/ram_available_gb,system/ram_percent,system/ram_total_gb,system/ram_used_gb,timing/compute_advantages_and_returns,timing/convert_to_training_input,timing/fwd_logprobs_values_reward,timing/policy_train,timing/run_training,timing/step,timing/sync_weights,timing/train_critic_and_policy,timing/wait_for_generation_buffer,trainer/epoch,trainer/global_step,batch_errors/total_batches,batch_errors/total_instances,batch_errors/total_successful,batch_errors/total_failed,batch_errors/total_masked,batch_errors/avg_ContextLengthExceededError,batch_errors/total_ContextLengthExceededError,timing/cleanup_old_checkpoints,timing/save_checkpoints,batch_errors/avg_DaytonaError,batch_errors/total_DaytonaError,batch_errors/avg_VerifierTimeoutError,batch_errors/total_VerifierTimeoutError,batch_errors/avg_InvalidChatHistory,batch_errors/total_InvalidChatHistory,batch_errors/avg_AgentTimeoutError,batch_errors/total_AgentTimeoutError,timing/save_hf_model,batch_errors/avg_RuntimeError,batch_errors/total_RuntimeError,global_step
|
||||
job_591150,0.0,0,64,512,0,0.0,0,0.0,8795.541,7557.8707,9821.0393,28234,1862,5511.4955,0.4531,0.0154,0.1383,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1147,-0.0,0.0,1.0,0.0,0.0154,0.6094,0.4531,12.2192,50.7338,643.6898,25.0,857.9676,214.2778,0.1433,4.903,67.5598,331.9725,399.8923,2717.3975,19.1362,332.1889,2293.4656,0,1,127.0,1016.0,978.0,16.0,38.0,0.31496062992125984,40.0,,,,,,,,,,,,,,1
|
||||
job_591150,0.0,0,64,512,1,0.8906,0,0.8906,10265.4648,9975.6566,10448.2102,30188,1,7251.4743,0.3867,0.0046,0.1482,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1058,0.0,0.0,1.0,0.0,0.0194,0.5312,0.3867,12.8623,51.2017,641.1227,25.3,857.9676,216.8448,0.0832,5.4115,69.2781,417.5714,487.2024,1580.8868,19.4255,417.8407,1068.8446,0,2,61.0,488.0,289.0,42.0,199.0,3.278688524590164,200.0,10.894,19.6772,0.04918032786885246,3.0,0.03278688524590164,2.0,0.03278688524590164,2.0,,,,,,2
|
||||
job_591150,0.0,0,64,512,2,1.7188,1,1.0,6598.4668,9521.9474,6088.8693,29419,1,7508.721,0.1484,0.014,0.1069,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0709,0.0,0.0,1.0,0.0,0.0109,0.2969,0.1484,12.9957,51.341,637.1793,25.7,857.9676,220.7883,0.0935,4.8247,53.3349,340.9789,394.6829,675.1796,19.7755,341.254,255.893,0,3,60.0,480.0,411.0,22.0,69.0,1.05,63.0,,,,,,,0.016666666666666666,1.0,0.016666666666666666,1.0,,,,3
|
||||
job_591150,0.0,0,64,512,3,2.4219,1,1.0,9999.6543,9601.1462,10199.4927,29478,1,7901.9526,0.334,0.0083,0.0995,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1012,0.0,0.0,1.0,0.0,0.0119,0.4531,0.334,13.3472,51.7056,629.7285,26.6,857.9676,228.2391,0.0901,5.533,67.9116,401.1539,469.4069,1064.6399,19.7968,401.4046,569.8905,0,4,65.0,520.0,384.0,31.0,136.0,2.0153846153846153,131.0,0.0057,12.0885,,,,,0.07692307692307693,5.0,,,,,,4
|
||||
job_591150,0.0,0,64,512,4,3.0625,2,1.0,9386.873,11132.7622,8710.2818,29967,1,8316.5867,0.2793,-0.0005,0.1511,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0843,-0.0,0.0,1.0,0.0,0.0126,0.4375,0.2793,13.3903,51.7529,626.9168,26.9,857.9676,231.0508,0.0708,5.2362,79.0552,433.729,513.1297,1514.2234,19.1602,434.0033,976.6598,0,5,62.0,496.0,384.0,32.0,112.0,1.9193548387096775,119.0,,,,,,,,,,,6.6576,,,5
|
||||
job_591150,0.0,0,64,512,4,3.7656,3,1.0,10051.041,12819.4872,8837.9017,29419,1,8180.7526,0.3047,0.0255,0.2105,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0891,0.0,0.0,1.0,0.0,0.0202,0.5469,0.3047,13.8707,51.8625,639.0039,25.5,857.9676,218.9637,0.077,5.2138,69.1587,408.4466,477.9141,961.7158,18.673,408.6779,459.8809,0,6,63.0,504.0,316.0,42.0,187.0,2.9365079365079363,185.0,0.0083,9.9275,,,,,0.031746031746031744,2.0,,,,0.015873015873015872,1.0,6
|
||||
job_591150,0.0,0,64,512,5,4.7812,4,1.0,8289.875,10832.8,7553.2594,31013,1,8640.4314,0.2246,-0.0009,0.0888,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0742,0.0,0.0,1.0,0.0,0.0102,0.3281,0.2246,13.6701,51.6724,636.2298,25.8,857.9676,221.7378,0.0697,5.0448,66.0801,402.6137,469.0069,1264.3273,18.9369,402.8567,771.3001,0,7,60.0,480.0,268.0,53.0,211.0,3.45,207.0,,,0.03333333333333333,2.0,,,0.06666666666666667,4.0,,,,0.016666666666666666,1.0,7
|
||||
job_591150,0.0,0,64,512,6,5.7656,5,1.0,8230.7988,14968.2024,6908.5047,29456,1,9244.7451,0.1641,0.0138,0.1045,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0659,-0.0,0.0,1.0,0.0,0.0139,0.3438,0.1641,14.0063,52.0513,628.7164,26.7,857.9676,229.2512,0.065,4.8541,69.1673,417.4759,486.978,2605.5652,11.9483,417.7453,2101.7529,0,8,64.0,512.0,487.0,7.0,25.0,0.390625,25.0,0.008,10.0222,,,,,,,,,,,,8
|
||||
job_591150,0.0,0,64,512,0,0.0,0,0.0,10444.8711,9636.092,11216.6069,30180,1,6434.7455,0.4883,0.0112,0.1585,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1128,0.0,0.0,1.0,0.0,0.0149,0.6562,0.4883,13.9713,52.0759,624.9913,27.2,857.9676,232.9763,0.0687,5.276,68.7787,378.0224,447.1007,3884.0127,18.4616,378.2529,3413.142,1,9,58.0,464.0,301.0,36.0,163.0,3.0689655172413794,178.0,,,0.05172413793103448,3.0,,,,,,,,,,9
|
||||
job_591150,0.0,0,64,512,1,1.0,1,1.0,8861.4961,11804.4167,7709.9185,29409,1,8814.3882,0.2812,0.0029,0.0973,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0734,0.0,0.0,1.0,0.0,0.0095,0.4062,0.2812,14.7997,52.574,627.1608,26.9,857.9676,230.8068,0.0644,5.1711,72.0844,417.3814,489.7789,926.0357,19.0802,417.6298,412.0023,1,10,64.0,512.0,332.0,36.0,179.0,2.640625,169.0,0.0076,9.5829,0.046875,3.0,0.015625,1.0,0.015625,1.0,0.03125,2.0,6.3468,,,10
|
||||
job_591150,0.0,0,64,512,2,1.7031,0,0.9531,7327.1992,9194.4762,6845.4693,28487,1,7502.5285,0.2051,0.0026,0.0657,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0804,0.0,0.0,1.0,0.0,0.01,0.2812,0.2051,15.1613,52.9576,624.4334,27.2,857.9676,233.5342,0.0601,4.715,63.8687,351.7918,415.97,995.055,19.1877,352.0408,555.1789,1,11,62.0,496.0,358.0,30.0,138.0,2.193548387096774,136.0,,,0.03225806451612903,2.0,,,,,,,,,,11
|
||||
job_591150,0.0,0,64,512,3,2.0938,1,1.0,9918.1191,11967.1758,8943.7839,30360,1,8420.1283,0.3223,0.0095,0.1672,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0848,0.0,0.0,1.0,0.0,0.0144,0.4844,0.3223,15.4885,53.2342,634.7371,26.0,857.9676,223.2305,0.0831,5.3606,76.0698,426.1412,502.5426,1539.2977,19.1177,426.3893,1012.2655,1,12,62.0,496.0,314.0,40.0,181.0,2.8870967741935485,179.0,0.0072,9.3904,0.06451612903225806,4.0,0.016129032258064516,1.0,,,,,,,,12
|
||||
job_591150,0.0,0,64,512,4,2.5938,2,1.0,9382.0039,12392.648,8409.5736,30099,1,9042.8211,0.2441,-0.0046,0.1564,-0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0751,-0.002,0.0,1.0,0.0,0.0148,0.4219,0.2441,15.3411,53.0607,632.1736,26.3,857.9676,225.7939,0.0688,5.2259,70.3939,431.8179,502.543,1232.3428,19.0569,432.0799,705.4787,1,13,64.0,512.0,303.0,44.0,209.0,3.203125,205.0,,,0.0625,4.0,,,,,,,,,,13
|
||||
job_591150,0.0,0,64,512,4,3.0469,3,1.0,8458.4961,12622.1583,7183.9056,30096,1,8927.1653,0.2344,-0.0072,0.1074,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0716,0.0,0.0,1.0,0.0,0.0087,0.375,0.2344,15.6031,53.179,628.9873,26.7,857.9676,228.9803,0.0787,5.1752,73.5778,416.5122,490.4141,1429.1938,19.0701,416.7571,914.4966,1,14,60.0,480.0,334.0,33.0,146.0,2.716666666666667,163.0,0.0072,9.1814,0.03333333333333333,2.0,,,,,,,,,,14
|
||||
job_591150,0.0,0,64,512,4,4.0,4,1.0,9658.8066,12490.4551,8288.1246,29820,1,8982.0547,0.3262,0.0033,0.186,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0761,0.0,0.0,1.0,0.0,0.0122,0.4688,0.3262,15.4732,53.0505,626.9476,26.9,857.9676,231.02,0.0661,5.096,76.3654,444.7385,521.4854,1171.3137,18.8645,445.0534,625.8348,1,15,63.0,504.0,225.0,54.0,278.0,4.349206349206349,274.0,,,0.06349206349206349,4.0,,,,,,,5.8824,0.015873015873015872,1.0,15
|
||||
job_591150,0.0,0,64,512,5,5.0,5,1.0,7392.418,16034.6364,6113.5247,29621,1,9341.5481,0.1289,-0.0013,0.1187,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0553,0.0,0.0,1.0,0.0,0.0095,0.2812,0.1289,15.7165,53.3323,624.8472,27.2,857.9676,233.1204,0.0635,4.8164,68.4974,418.1021,486.9176,2531.0981,13.3106,418.3564,2026.0146,1,16,,,,,,,,0.0074,9.3875,,,,,,,,,,,,16
|
||||
|
3
training_logs/20260605_214218_reward_vs_steps.png
Normal file
3
training_logs/20260605_214218_reward_vs_steps.png
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ee3b133494ebb52044eccc1fd7ff5123af14d20a88f24159d2958c56c01d038b
|
||||
size 228873
|
||||
8193
training_logs/20260605_214218_trial_results.csv
Normal file
8193
training_logs/20260605_214218_trial_results.csv
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b8d0854eae5bcb5a92b2988276676bc1e75f6e2e75e1ce042397ab65007e975a
|
||||
size 109734
|
||||
4997
training_logs/20260605_214218_vllm_metrics_job_591150.csv
Normal file
4997
training_logs/20260605_214218_vllm_metrics_job_591150.csv
Normal file
File diff suppressed because it is too large
Load Diff
4997
training_logs/20260605_214218_vllm_metrics_table.csv
Normal file
4997
training_logs/20260605_214218_vllm_metrics_table.csv
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b168199ac61c8652f91da79b196a1fde395387c5abecf67e85a416253de1d5b1
|
||||
size 48862777
|
||||
1417
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591151.out
Normal file
1417
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591151.out
Normal file
File diff suppressed because one or more lines are too long
1243
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591152.out
Normal file
1243
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591152.out
Normal file
File diff suppressed because one or more lines are too long
1487
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591153.out
Normal file
1487
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591153.out
Normal file
File diff suppressed because one or more lines are too long
1226
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591154.out
Normal file
1226
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591154.out
Normal file
File diff suppressed because one or more lines are too long
1221
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591155.out
Normal file
1221
training_logs/a3-rl-DCAgent_exp_rpt_curriculum-medium_591155.out
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user