diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,6543 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5714285714285714, + "eval_steps": 500, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "completion_length": 2253.854206085205, + "epoch": 0.001142857142857143, + "grad_norm": 0.028186120092868805, + "kl": 0.0, + "learning_rate": 0.0, + "loss": 0.0, + "reward": 0.945640604943037, + "reward_std": 0.7231155578047037, + "rewards/cosine_scaled_reward": 0.16032031644135714, + "rewards/format_reward": 0.6250000037252903, + "step": 1 + }, + { + "completion_length": 2566.395854949951, + "epoch": 0.002285714285714286, + "grad_norm": 0.02438599243760109, + "kl": 0.0, + "learning_rate": 2e-08, + "loss": 0.0, + "reward": 0.7753396667540073, + "reward_std": 0.8076020702719688, + "rewards/cosine_scaled_reward": 0.12725313939154148, + "rewards/format_reward": 0.5208333414047956, + "step": 2 + }, + { + "completion_length": 2850.8333587646484, + "epoch": 0.0034285714285714284, + "grad_norm": 0.026358311995863914, + "kl": 0.00019162893295288086, + "learning_rate": 4e-08, + "loss": 0.0, + "reward": 0.25994101725518703, + "reward_std": 0.7457061782479286, + "rewards/cosine_scaled_reward": -0.07836283510550857, + "rewards/format_reward": 0.4166666753590107, + "step": 3 + }, + { + "completion_length": 1333.3750228881836, + "epoch": 0.004571428571428572, + "grad_norm": 0.03962448611855507, + "kl": 8.179247379302979e-05, + "learning_rate": 6e-08, + "loss": 0.0, + "reward": 1.1095947362482548, + "reward_std": 0.7611480094492435, + "rewards/cosine_scaled_reward": 0.10688067661249079, + "rewards/format_reward": 0.895833333954215, + "step": 4 + }, + { + "completion_length": 3136.312530517578, + "epoch": 0.005714285714285714, + "grad_norm": 0.02204746939241886, + "kl": 0.00017178058624267578, + "learning_rate": 8e-08, + "loss": 0.0, + "reward": 0.3529331162571907, + "reward_std": 0.9226996600627899, + "rewards/cosine_scaled_reward": -0.07353345490992069, + "rewards/format_reward": 0.5000000093132257, + "step": 5 + }, + { + "completion_length": 2268.208351135254, + "epoch": 0.006857142857142857, + "grad_norm": 0.02553640492260456, + "kl": 0.00011495500802993774, + "learning_rate": 1e-07, + "loss": 0.0, + "reward": 0.47384920963668264, + "reward_std": 0.9380720984190702, + "rewards/cosine_scaled_reward": -0.08599207969382405, + "rewards/format_reward": 0.6458333432674408, + "step": 6 + }, + { + "completion_length": 2404.916702270508, + "epoch": 0.008, + "grad_norm": 0.02169734612107277, + "kl": 0.0001201927661895752, + "learning_rate": 1.2e-07, + "loss": 0.0, + "reward": 0.7995812203735113, + "reward_std": 0.7245029136538506, + "rewards/cosine_scaled_reward": 0.00395727576687932, + "rewards/format_reward": 0.7916666716337204, + "step": 7 + }, + { + "completion_length": 1825.270881652832, + "epoch": 0.009142857142857144, + "grad_norm": 0.03927920013666153, + "kl": 6.420910358428955e-05, + "learning_rate": 1.4e-07, + "loss": 0.0, + "reward": 1.2986854314804077, + "reward_std": 0.694359702989459, + "rewards/cosine_scaled_reward": 0.2951760431751609, + "rewards/format_reward": 0.7083333414047956, + "step": 8 + }, + { + "completion_length": 2716.9375, + "epoch": 0.010285714285714285, + "grad_norm": 0.031250353902578354, + "kl": 0.00015756487846374512, + "learning_rate": 1.6e-07, + "loss": 0.0, + "reward": 0.4805310983210802, + "reward_std": 0.6337715331465006, + "rewards/cosine_scaled_reward": 0.021515536587685347, + "rewards/format_reward": 0.4375, + "step": 9 + }, + { + "completion_length": 2326.1458625793457, + "epoch": 0.011428571428571429, + "grad_norm": 0.02834513410925865, + "kl": 0.00010342895984649658, + "learning_rate": 1.8e-07, + "loss": 0.0, + "reward": 0.7450611963868141, + "reward_std": 0.7835288420319557, + "rewards/cosine_scaled_reward": 0.09128060017246753, + "rewards/format_reward": 0.5625000093132257, + "step": 10 + }, + { + "completion_length": 3093.3541870117188, + "epoch": 0.012571428571428572, + "grad_norm": 0.023482978343963623, + "kl": 0.00014767050743103027, + "learning_rate": 2e-07, + "loss": 0.0, + "reward": 0.3454847726970911, + "reward_std": 0.5903383195400238, + "rewards/cosine_scaled_reward": -0.0043409522622823715, + "rewards/format_reward": 0.35416666977107525, + "step": 11 + }, + { + "completion_length": 2152.541748046875, + "epoch": 0.013714285714285714, + "grad_norm": 0.028229378163814545, + "kl": 0.0001628100872039795, + "learning_rate": 2.1999999999999998e-07, + "loss": 0.0, + "reward": 0.7333892993628979, + "reward_std": 0.9000732153654099, + "rewards/cosine_scaled_reward": 0.0437779575586319, + "rewards/format_reward": 0.6458333488553762, + "step": 12 + }, + { + "completion_length": 2562.145866394043, + "epoch": 0.014857142857142857, + "grad_norm": 0.022799858823418617, + "kl": 0.00014079362154006958, + "learning_rate": 2.4e-07, + "loss": 0.0, + "reward": 0.5581501871347427, + "reward_std": 0.8053405769169331, + "rewards/cosine_scaled_reward": 0.018658424261957407, + "rewards/format_reward": 0.5208333432674408, + "step": 13 + }, + { + "completion_length": 2327.166679382324, + "epoch": 0.016, + "grad_norm": 0.025850726291537285, + "kl": 0.00013312697410583496, + "learning_rate": 2.6e-07, + "loss": 0.0, + "reward": 0.4661823809146881, + "reward_std": 0.7131906598806381, + "rewards/cosine_scaled_reward": -0.04815882258117199, + "rewards/format_reward": 0.5625000018626451, + "step": 14 + }, + { + "completion_length": 2491.4791717529297, + "epoch": 0.017142857142857144, + "grad_norm": 0.025151003152132034, + "kl": 0.00011346954852342606, + "learning_rate": 2.8e-07, + "loss": 0.0, + "reward": 0.5728016346693039, + "reward_std": 0.4929979182779789, + "rewards/cosine_scaled_reward": 0.036400796845555305, + "rewards/format_reward": 0.5000000055879354, + "step": 15 + }, + { + "completion_length": 3466.8958740234375, + "epoch": 0.018285714285714287, + "grad_norm": 0.01853562705218792, + "kl": 0.00017964839935302734, + "learning_rate": 3e-07, + "loss": 0.0, + "reward": 0.04977674409747124, + "reward_std": 0.8271799795329571, + "rewards/cosine_scaled_reward": -0.06886161956936121, + "rewards/format_reward": 0.1875, + "step": 16 + }, + { + "completion_length": 1964.208366394043, + "epoch": 0.019428571428571427, + "grad_norm": 0.039788853377103806, + "kl": 0.00011803209781646729, + "learning_rate": 3.2e-07, + "loss": 0.0, + "reward": 0.9614612013101578, + "reward_std": 0.5819262592121959, + "rewards/cosine_scaled_reward": 0.1786472648382187, + "rewards/format_reward": 0.6041666716337204, + "step": 17 + }, + { + "completion_length": 2595.437545776367, + "epoch": 0.02057142857142857, + "grad_norm": 0.01998710259795189, + "kl": 0.00012928247451782227, + "learning_rate": 3.4000000000000003e-07, + "loss": 0.0, + "reward": 0.7032174468040466, + "reward_std": 0.616347186267376, + "rewards/cosine_scaled_reward": 0.03910870919935405, + "rewards/format_reward": 0.625, + "step": 18 + }, + { + "completion_length": 2346.3542098999023, + "epoch": 0.021714285714285714, + "grad_norm": 0.02497478388249874, + "kl": 0.00013540685176849365, + "learning_rate": 3.6e-07, + "loss": 0.0, + "reward": 1.3847788944840431, + "reward_std": 1.1934307999908924, + "rewards/cosine_scaled_reward": 0.3382227774709463, + "rewards/format_reward": 0.7083333414047956, + "step": 19 + }, + { + "completion_length": 1532.4166984558105, + "epoch": 0.022857142857142857, + "grad_norm": 0.030825506895780563, + "kl": 7.693842053413391e-05, + "learning_rate": 3.7999999999999996e-07, + "loss": 0.0, + "reward": 1.009512271732092, + "reward_std": 0.6844168081879616, + "rewards/cosine_scaled_reward": 0.04642279585823417, + "rewards/format_reward": 0.916666679084301, + "step": 20 + }, + { + "completion_length": 2422.31254196167, + "epoch": 0.024, + "grad_norm": 0.032373763620853424, + "kl": 0.0001367330551147461, + "learning_rate": 4e-07, + "loss": 0.0, + "reward": 0.6270023807883263, + "reward_std": 0.6962997727096081, + "rewards/cosine_scaled_reward": 0.053084509272594005, + "rewards/format_reward": 0.5208333395421505, + "step": 21 + }, + { + "completion_length": 1439.500057220459, + "epoch": 0.025142857142857144, + "grad_norm": 0.03851747140288353, + "kl": 0.00011110305786132812, + "learning_rate": 4.1999999999999995e-07, + "loss": 0.0, + "reward": 0.7128502167761326, + "reward_std": 0.4558130237273872, + "rewards/cosine_scaled_reward": -0.09149156883358955, + "rewards/format_reward": 0.8958333358168602, + "step": 22 + }, + { + "completion_length": 2568.8750534057617, + "epoch": 0.026285714285714287, + "grad_norm": 0.027865994721651077, + "kl": 0.0001246929168701172, + "learning_rate": 4.3999999999999997e-07, + "loss": 0.0, + "reward": 0.39115861523896456, + "reward_std": 0.9601399153470993, + "rewards/cosine_scaled_reward": -0.05442069785203785, + "rewards/format_reward": 0.5000000074505806, + "step": 23 + }, + { + "completion_length": 1739.6875534057617, + "epoch": 0.027428571428571427, + "grad_norm": 0.02797676995396614, + "kl": 7.119029760360718e-05, + "learning_rate": 4.6e-07, + "loss": 0.0, + "reward": 0.8130059950053692, + "reward_std": 0.8428283482789993, + "rewards/cosine_scaled_reward": 0.02108631655573845, + "rewards/format_reward": 0.770833345130086, + "step": 24 + }, + { + "completion_length": 2243.5625381469727, + "epoch": 0.02857142857142857, + "grad_norm": 0.02834572270512581, + "kl": 0.00014713406562805176, + "learning_rate": 4.8e-07, + "loss": 0.0, + "reward": 0.7691881991922855, + "reward_std": 0.6148425601422787, + "rewards/cosine_scaled_reward": 0.10334407165646553, + "rewards/format_reward": 0.5625000018626451, + "step": 25 + }, + { + "completion_length": 2384.479202270508, + "epoch": 0.029714285714285714, + "grad_norm": 0.022393781691789627, + "kl": 0.00015068799257278442, + "learning_rate": 5e-07, + "loss": 0.0, + "reward": 0.4031391516327858, + "reward_std": 0.6596824564039707, + "rewards/cosine_scaled_reward": -0.06926377443596721, + "rewards/format_reward": 0.5416666679084301, + "step": 26 + }, + { + "completion_length": 2295.479202270508, + "epoch": 0.030857142857142857, + "grad_norm": 0.027790380641818047, + "kl": 0.0001430213451385498, + "learning_rate": 5.2e-07, + "loss": 0.0, + "reward": 0.7962075062096119, + "reward_std": 0.5945973135530949, + "rewards/cosine_scaled_reward": 0.0439370833337307, + "rewards/format_reward": 0.7083333358168602, + "step": 27 + }, + { + "completion_length": 2273.5000534057617, + "epoch": 0.032, + "grad_norm": 0.03035018779337406, + "kl": 0.00013148784637451172, + "learning_rate": 5.4e-07, + "loss": 0.0, + "reward": 0.9480000095209107, + "reward_std": 0.969454187899828, + "rewards/cosine_scaled_reward": 0.15108334203250706, + "rewards/format_reward": 0.6458333358168602, + "step": 28 + }, + { + "completion_length": 2891.291748046875, + "epoch": 0.03314285714285714, + "grad_norm": 0.024835970252752304, + "kl": 0.00016313791275024414, + "learning_rate": 5.6e-07, + "loss": 0.0, + "reward": 0.31715210899710655, + "reward_std": 0.7158625386655331, + "rewards/cosine_scaled_reward": -0.060173945501446724, + "rewards/format_reward": 0.43750000931322575, + "step": 29 + }, + { + "completion_length": 2167.875045776367, + "epoch": 0.03428571428571429, + "grad_norm": 0.023409895598888397, + "kl": 0.00010243058204650879, + "learning_rate": 5.8e-07, + "loss": 0.0, + "reward": 1.1814709827303886, + "reward_std": 0.9771759286522865, + "rewards/cosine_scaled_reward": 0.22615211736410856, + "rewards/format_reward": 0.7291666865348816, + "step": 30 + }, + { + "completion_length": 2741.916702270508, + "epoch": 0.03542857142857143, + "grad_norm": 0.020507322624325752, + "kl": 0.00014102458953857422, + "learning_rate": 6e-07, + "loss": 0.0, + "reward": 0.5180935077369213, + "reward_std": 0.8897004313766956, + "rewards/cosine_scaled_reward": 0.019463416654616594, + "rewards/format_reward": 0.4791666716337204, + "step": 31 + }, + { + "completion_length": 2284.687545776367, + "epoch": 0.036571428571428574, + "grad_norm": 0.02322392910718918, + "kl": 0.00012177228927612305, + "learning_rate": 6.2e-07, + "loss": 0.0, + "reward": 1.1874850988388062, + "reward_std": 0.6209478713572025, + "rewards/cosine_scaled_reward": 0.23957587592303753, + "rewards/format_reward": 0.7083333395421505, + "step": 32 + }, + { + "completion_length": 2879.3750610351562, + "epoch": 0.037714285714285714, + "grad_norm": 0.019906090572476387, + "kl": 0.00011980533599853516, + "learning_rate": 6.4e-07, + "loss": 0.0, + "reward": 0.8293444700539112, + "reward_std": 0.8636636873707175, + "rewards/cosine_scaled_reward": 0.11258888803422451, + "rewards/format_reward": 0.604166679084301, + "step": 33 + }, + { + "completion_length": 1965.4375076293945, + "epoch": 0.038857142857142854, + "grad_norm": 0.02797047235071659, + "kl": 0.0001359265297651291, + "learning_rate": 6.6e-07, + "loss": 0.0, + "reward": 1.257663020864129, + "reward_std": 0.8084600828588009, + "rewards/cosine_scaled_reward": 0.2746648136526346, + "rewards/format_reward": 0.7083333414047956, + "step": 34 + }, + { + "completion_length": 2429.000045776367, + "epoch": 0.04, + "grad_norm": 0.03363242745399475, + "kl": 0.0001286640763282776, + "learning_rate": 6.800000000000001e-07, + "loss": 0.0, + "reward": 0.9006999442353845, + "reward_std": 0.8478060588240623, + "rewards/cosine_scaled_reward": 0.15868327533826232, + "rewards/format_reward": 0.5833333395421505, + "step": 35 + }, + { + "completion_length": 2975.083366394043, + "epoch": 0.04114285714285714, + "grad_norm": 0.029229290783405304, + "kl": 0.00017908215522766113, + "learning_rate": 7e-07, + "loss": 0.0, + "reward": 0.09833091939799488, + "reward_std": 0.9010875336825848, + "rewards/cosine_scaled_reward": -0.14875120925717056, + "rewards/format_reward": 0.3958333432674408, + "step": 36 + }, + { + "completion_length": 2954.0833435058594, + "epoch": 0.04228571428571429, + "grad_norm": 0.019327132031321526, + "kl": 0.0001398026943206787, + "learning_rate": 7.2e-07, + "loss": 0.0, + "reward": 0.2552360990084708, + "reward_std": 0.6516154278069735, + "rewards/cosine_scaled_reward": -0.04946526139974594, + "rewards/format_reward": 0.3541666679084301, + "step": 37 + }, + { + "completion_length": 3235.125030517578, + "epoch": 0.04342857142857143, + "grad_norm": 0.019981542602181435, + "kl": 0.0001823529601097107, + "learning_rate": 7.4e-07, + "loss": 0.0, + "reward": 0.13104849308729172, + "reward_std": 0.4905168265104294, + "rewards/cosine_scaled_reward": -0.03864241763949394, + "rewards/format_reward": 0.2083333358168602, + "step": 38 + }, + { + "completion_length": 2411.5417289733887, + "epoch": 0.044571428571428574, + "grad_norm": 0.026408830657601357, + "kl": 0.00011394917964935303, + "learning_rate": 7.599999999999999e-07, + "loss": 0.0, + "reward": 0.5625039599835873, + "reward_std": 0.3937423247843981, + "rewards/cosine_scaled_reward": -0.020831378176808357, + "rewards/format_reward": 0.6041666716337204, + "step": 39 + }, + { + "completion_length": 2098.062545776367, + "epoch": 0.045714285714285714, + "grad_norm": 0.02573023922741413, + "kl": 0.00011499226093292236, + "learning_rate": 7.799999999999999e-07, + "loss": 0.0, + "reward": 0.657089076936245, + "reward_std": 0.7896895445883274, + "rewards/cosine_scaled_reward": -0.025622128508985043, + "rewards/format_reward": 0.7083333469927311, + "step": 40 + }, + { + "completion_length": 2488.229217529297, + "epoch": 0.046857142857142854, + "grad_norm": 0.02382344752550125, + "kl": 0.00011301040649414062, + "learning_rate": 8e-07, + "loss": 0.0, + "reward": 0.9531193277798593, + "reward_std": 0.625364888459444, + "rewards/cosine_scaled_reward": 0.15364299900829792, + "rewards/format_reward": 0.6458333432674408, + "step": 41 + }, + { + "completion_length": 2591.5416984558105, + "epoch": 0.048, + "grad_norm": 0.0474100187420845, + "kl": 0.00018638372421264648, + "learning_rate": 8.199999999999999e-07, + "loss": 0.0, + "reward": 0.019108548760414124, + "reward_std": 0.5053375829011202, + "rewards/cosine_scaled_reward": -0.20919574238359928, + "rewards/format_reward": 0.4375, + "step": 42 + }, + { + "completion_length": 2745.6250610351562, + "epoch": 0.04914285714285714, + "grad_norm": 0.02300211787223816, + "kl": 0.00014187395572662354, + "learning_rate": 8.399999999999999e-07, + "loss": 0.0, + "reward": 0.3337301954161376, + "reward_std": 1.0558787789195776, + "rewards/cosine_scaled_reward": -0.04146823566406965, + "rewards/format_reward": 0.416666679084301, + "step": 43 + }, + { + "completion_length": 2167.33341217041, + "epoch": 0.05028571428571429, + "grad_norm": 0.038022760301828384, + "kl": 0.00011192262172698975, + "learning_rate": 8.599999999999999e-07, + "loss": 0.0, + "reward": 1.0215463279746473, + "reward_std": 0.37458088528364897, + "rewards/cosine_scaled_reward": 0.14618983678519726, + "rewards/format_reward": 0.7291666697710752, + "step": 44 + }, + { + "completion_length": 3106.7083740234375, + "epoch": 0.05142857142857143, + "grad_norm": 0.02269629016518593, + "kl": 0.00013549625873565674, + "learning_rate": 8.799999999999999e-07, + "loss": 0.0, + "reward": 0.7414790373295546, + "reward_std": 0.6533729061484337, + "rewards/cosine_scaled_reward": 0.11032285634428263, + "rewards/format_reward": 0.5208333432674408, + "step": 45 + }, + { + "completion_length": 2975.0208587646484, + "epoch": 0.052571428571428575, + "grad_norm": 0.023037103936076164, + "kl": 0.0001526474952697754, + "learning_rate": 9e-07, + "loss": 0.0, + "reward": 0.13235431909561157, + "reward_std": 0.6402451954782009, + "rewards/cosine_scaled_reward": -0.15257284580729902, + "rewards/format_reward": 0.43750000558793545, + "step": 46 + }, + { + "completion_length": 2202.0417098999023, + "epoch": 0.053714285714285714, + "grad_norm": 0.03050912357866764, + "kl": 9.85860824584961e-05, + "learning_rate": 9.2e-07, + "loss": 0.0, + "reward": 1.0235360227525234, + "reward_std": 0.6361051239073277, + "rewards/cosine_scaled_reward": 0.15760133787989616, + "rewards/format_reward": 0.7083333432674408, + "step": 47 + }, + { + "completion_length": 2482.937530517578, + "epoch": 0.054857142857142854, + "grad_norm": 0.028333164751529694, + "kl": 0.00011826306581497192, + "learning_rate": 9.399999999999999e-07, + "loss": 0.0, + "reward": 0.8281691037118435, + "reward_std": 0.8235839083790779, + "rewards/cosine_scaled_reward": 0.14325121929869056, + "rewards/format_reward": 0.5416666734963655, + "step": 48 + }, + { + "completion_length": 1686.7708778381348, + "epoch": 0.056, + "grad_norm": 0.03345295041799545, + "kl": 9.24915075302124e-05, + "learning_rate": 9.6e-07, + "loss": 0.0, + "reward": 1.1297309827059507, + "reward_std": 0.8849144196137786, + "rewards/cosine_scaled_reward": 0.12736546620726585, + "rewards/format_reward": 0.8750000074505806, + "step": 49 + }, + { + "completion_length": 2702.166679382324, + "epoch": 0.05714285714285714, + "grad_norm": 0.025781678035855293, + "kl": 0.00011380016803741455, + "learning_rate": 9.8e-07, + "loss": 0.0, + "reward": 0.774685425683856, + "reward_std": 0.6316370200365782, + "rewards/cosine_scaled_reward": 0.12692604400217533, + "rewards/format_reward": 0.5208333376795053, + "step": 50 + }, + { + "completion_length": 2162.75, + "epoch": 0.05828571428571429, + "grad_norm": 0.032990217208862305, + "kl": 0.0001423358917236328, + "learning_rate": 1e-06, + "loss": 0.0, + "reward": 0.395895104855299, + "reward_std": 0.5788541845977306, + "rewards/cosine_scaled_reward": -0.062469134107232094, + "rewards/format_reward": 0.520833333954215, + "step": 51 + }, + { + "completion_length": 2481.3334045410156, + "epoch": 0.05942857142857143, + "grad_norm": 0.027054639533162117, + "kl": 0.00010142475366592407, + "learning_rate": 9.999890338174275e-07, + "loss": 0.0, + "reward": 1.1616107635200024, + "reward_std": 0.6760222055017948, + "rewards/cosine_scaled_reward": 0.23705538734793663, + "rewards/format_reward": 0.6875000055879354, + "step": 52 + }, + { + "completion_length": 2468.5208892822266, + "epoch": 0.060571428571428575, + "grad_norm": 0.026934338733553886, + "kl": 0.000138893723487854, + "learning_rate": 9.999561358041868e-07, + "loss": 0.0, + "reward": 1.0014648959040642, + "reward_std": 1.0805351361632347, + "rewards/cosine_scaled_reward": 0.15698243118822575, + "rewards/format_reward": 0.6875000055879354, + "step": 53 + }, + { + "completion_length": 1780.3333435058594, + "epoch": 0.061714285714285715, + "grad_norm": 0.030859723687171936, + "kl": 9.08970832824707e-05, + "learning_rate": 9.999013075636804e-07, + "loss": 0.0, + "reward": 1.5217821262776852, + "reward_std": 0.8481816910207272, + "rewards/cosine_scaled_reward": 0.35464105010032654, + "rewards/format_reward": 0.8125000074505806, + "step": 54 + }, + { + "completion_length": 2687.4166946411133, + "epoch": 0.06285714285714286, + "grad_norm": 0.021781187504529953, + "kl": 0.00013262033462524414, + "learning_rate": 9.998245517681593e-07, + "loss": 0.0, + "reward": 1.0466104643419385, + "reward_std": 0.878080858848989, + "rewards/cosine_scaled_reward": 0.20038855448365211, + "rewards/format_reward": 0.6458333414047956, + "step": 55 + }, + { + "completion_length": 2628.770866394043, + "epoch": 0.064, + "grad_norm": 0.02273709513247013, + "kl": 0.0001190677285194397, + "learning_rate": 9.997258721585931e-07, + "loss": 0.0, + "reward": 0.7287426479160786, + "reward_std": 0.6065099984407425, + "rewards/cosine_scaled_reward": 0.06228797510266304, + "rewards/format_reward": 0.604166679084301, + "step": 56 + }, + { + "completion_length": 2883.854202270508, + "epoch": 0.06514285714285714, + "grad_norm": 0.017316030338406563, + "kl": 0.00010225176811218262, + "learning_rate": 9.996052735444862e-07, + "loss": 0.0, + "reward": 0.4611471053212881, + "reward_std": 1.0018693208694458, + "rewards/cosine_scaled_reward": -0.019426452228799462, + "rewards/format_reward": 0.5000000055879354, + "step": 57 + }, + { + "completion_length": 1413.4791793823242, + "epoch": 0.06628571428571428, + "grad_norm": 0.03232548013329506, + "kl": 6.647780537605286e-05, + "learning_rate": 9.994627618036452e-07, + "loss": 0.0, + "reward": 0.8900517076253891, + "reward_std": 0.7214644104242325, + "rewards/cosine_scaled_reward": 0.049192506819963455, + "rewards/format_reward": 0.7916666716337204, + "step": 58 + }, + { + "completion_length": 2609.520851135254, + "epoch": 0.06742857142857143, + "grad_norm": 0.02341977320611477, + "kl": 0.00011394917964935303, + "learning_rate": 9.992983438818915e-07, + "loss": 0.0, + "reward": 0.6282028257846832, + "reward_std": 0.7330185724422336, + "rewards/cosine_scaled_reward": 0.08493474265560508, + "rewards/format_reward": 0.45833333395421505, + "step": 59 + }, + { + "completion_length": 2260.875030517578, + "epoch": 0.06857142857142857, + "grad_norm": 0.025622840970754623, + "kl": 0.00010037794709205627, + "learning_rate": 9.991120277927223e-07, + "loss": 0.0, + "reward": 0.7927640732377768, + "reward_std": 0.5676146075129509, + "rewards/cosine_scaled_reward": 0.04221535753458738, + "rewards/format_reward": 0.7083333358168602, + "step": 60 + }, + { + "completion_length": 2364.1042098999023, + "epoch": 0.06971428571428571, + "grad_norm": 0.023006901144981384, + "kl": 8.575618267059326e-05, + "learning_rate": 9.989038226169207e-07, + "loss": 0.0, + "reward": 0.5264723375439644, + "reward_std": 0.4836166054010391, + "rewards/cosine_scaled_reward": -0.0388471744954586, + "rewards/format_reward": 0.6041666716337204, + "step": 61 + }, + { + "completion_length": 2127.2500228881836, + "epoch": 0.07085714285714285, + "grad_norm": 0.024150002747774124, + "kl": 8.403509855270386e-05, + "learning_rate": 9.98673738502114e-07, + "loss": 0.0, + "reward": 1.038158729672432, + "reward_std": 0.8189139366149902, + "rewards/cosine_scaled_reward": 0.14407933596521616, + "rewards/format_reward": 0.7500000074505806, + "step": 62 + }, + { + "completion_length": 1480.7500228881836, + "epoch": 0.072, + "grad_norm": 0.03183520957827568, + "kl": 7.95125961303711e-05, + "learning_rate": 9.98421786662277e-07, + "loss": 0.0, + "reward": 1.3979634009301662, + "reward_std": 0.5990209653973579, + "rewards/cosine_scaled_reward": 0.261481698602438, + "rewards/format_reward": 0.875, + "step": 63 + }, + { + "completion_length": 2504.666679382324, + "epoch": 0.07314285714285715, + "grad_norm": 0.021520959213376045, + "kl": 0.0001504272222518921, + "learning_rate": 9.981479793771866e-07, + "loss": 0.0, + "reward": 0.8372010216116905, + "reward_std": 0.6612134985625744, + "rewards/cosine_scaled_reward": 0.1373505061492324, + "rewards/format_reward": 0.5625000074505806, + "step": 64 + }, + { + "completion_length": 2580.6458702087402, + "epoch": 0.07428571428571429, + "grad_norm": 0.028981182724237442, + "kl": 0.00011400878429412842, + "learning_rate": 9.97852329991824e-07, + "loss": 0.0, + "reward": 0.45997084584087133, + "reward_std": 0.7114468142390251, + "rewards/cosine_scaled_reward": -0.030431261286139488, + "rewards/format_reward": 0.520833345130086, + "step": 65 + }, + { + "completion_length": 2067.458335876465, + "epoch": 0.07542857142857143, + "grad_norm": 0.03032701462507248, + "kl": 9.172409772872925e-05, + "learning_rate": 9.975348529157229e-07, + "loss": 0.0, + "reward": 0.301434013992548, + "reward_std": 0.645634401589632, + "rewards/cosine_scaled_reward": -0.09928299766033888, + "rewards/format_reward": 0.5, + "step": 66 + }, + { + "completion_length": 3204.3541717529297, + "epoch": 0.07657142857142857, + "grad_norm": 0.016771739348769188, + "kl": 0.00011616945266723633, + "learning_rate": 9.971955636222684e-07, + "loss": 0.0, + "reward": 0.028863554820418358, + "reward_std": 0.6313999556005001, + "rewards/cosine_scaled_reward": -0.14181822165846825, + "rewards/format_reward": 0.31250000186264515, + "step": 67 + }, + { + "completion_length": 1526.895866394043, + "epoch": 0.07771428571428571, + "grad_norm": 0.03267313167452812, + "kl": 8.743256330490112e-05, + "learning_rate": 9.968344786479415e-07, + "loss": 0.0, + "reward": 0.8832469508051872, + "reward_std": 0.6210112273693085, + "rewards/cosine_scaled_reward": 0.06662345677614212, + "rewards/format_reward": 0.7500000055879354, + "step": 68 + }, + { + "completion_length": 1829.0416946411133, + "epoch": 0.07885714285714286, + "grad_norm": 0.031190019100904465, + "kl": 9.609758853912354e-05, + "learning_rate": 9.964516155915151e-07, + "loss": 0.0, + "reward": 0.6412256211042404, + "reward_std": 0.839095912873745, + "rewards/cosine_scaled_reward": -0.03355386573821306, + "rewards/format_reward": 0.7083333395421505, + "step": 69 + }, + { + "completion_length": 2334.7083740234375, + "epoch": 0.08, + "grad_norm": 0.023025985807180405, + "kl": 9.860843420028687e-05, + "learning_rate": 9.960469931131936e-07, + "loss": 0.0, + "reward": 0.6220458149909973, + "reward_std": 0.6576723717153072, + "rewards/cosine_scaled_reward": -0.011893758550286293, + "rewards/format_reward": 0.645833333954215, + "step": 70 + }, + { + "completion_length": 2430.8750228881836, + "epoch": 0.08114285714285714, + "grad_norm": 0.03443196043372154, + "kl": 0.00010547041893005371, + "learning_rate": 9.956206309337066e-07, + "loss": 0.0, + "reward": 0.6613975018262863, + "reward_std": 0.5863231625407934, + "rewards/cosine_scaled_reward": 0.11194872949272394, + "rewards/format_reward": 0.43750000186264515, + "step": 71 + }, + { + "completion_length": 2218.250045776367, + "epoch": 0.08228571428571428, + "grad_norm": 0.02904508076608181, + "kl": 9.149312973022461e-05, + "learning_rate": 9.951725498333448e-07, + "loss": 0.0, + "reward": 0.39750963170081377, + "reward_std": 0.5485289674252272, + "rewards/cosine_scaled_reward": -0.15541186556220055, + "rewards/format_reward": 0.7083333469927311, + "step": 72 + }, + { + "completion_length": 3065.2708892822266, + "epoch": 0.08342857142857144, + "grad_norm": 0.01883835718035698, + "kl": 0.0001595020294189453, + "learning_rate": 9.947027716509488e-07, + "loss": 0.0, + "reward": 0.3231031158939004, + "reward_std": 0.7491481080651283, + "rewards/cosine_scaled_reward": -0.03636510670185089, + "rewards/format_reward": 0.3958333395421505, + "step": 73 + }, + { + "completion_length": 2371.104202270508, + "epoch": 0.08457142857142858, + "grad_norm": 0.024749629199504852, + "kl": 0.00012037158012390137, + "learning_rate": 9.942113192828444e-07, + "loss": 0.0, + "reward": 0.6487875208258629, + "reward_std": 0.839644305408001, + "rewards/cosine_scaled_reward": 0.05356042645871639, + "rewards/format_reward": 0.5416666716337204, + "step": 74 + }, + { + "completion_length": 2677.5, + "epoch": 0.08571428571428572, + "grad_norm": 0.02110193856060505, + "kl": 0.0001303553581237793, + "learning_rate": 9.93698216681727e-07, + "loss": 0.0, + "reward": 0.6778632658533752, + "reward_std": 0.7005478721112013, + "rewards/cosine_scaled_reward": 0.07851496431976557, + "rewards/format_reward": 0.5208333414047956, + "step": 75 + }, + { + "completion_length": 2419.2291984558105, + "epoch": 0.08685714285714285, + "grad_norm": 0.02441054955124855, + "kl": 0.0001291334629058838, + "learning_rate": 9.931634888554935e-07, + "loss": 0.0, + "reward": 0.41384580731391907, + "reward_std": 0.6501213163137436, + "rewards/cosine_scaled_reward": -0.053493766114115715, + "rewards/format_reward": 0.5208333358168602, + "step": 76 + }, + { + "completion_length": 2707.1042098999023, + "epoch": 0.088, + "grad_norm": 0.020344527438282967, + "kl": 0.00013850629329681396, + "learning_rate": 9.926071618660237e-07, + "loss": 0.0, + "reward": 0.2681877203285694, + "reward_std": 0.5029121972620487, + "rewards/cosine_scaled_reward": -0.11590614821761847, + "rewards/format_reward": 0.5000000037252903, + "step": 77 + }, + { + "completion_length": 2731.479232788086, + "epoch": 0.08914285714285715, + "grad_norm": 0.01844891719520092, + "kl": 0.00013375282287597656, + "learning_rate": 9.9202926282791e-07, + "loss": 0.0, + "reward": 0.7639368114178069, + "reward_std": 0.8214902877807617, + "rewards/cosine_scaled_reward": 0.12155175860971212, + "rewards/format_reward": 0.520833345130086, + "step": 78 + }, + { + "completion_length": 2004.6041946411133, + "epoch": 0.09028571428571429, + "grad_norm": 0.028990577906370163, + "kl": 8.181855082511902e-05, + "learning_rate": 9.91429819907136e-07, + "loss": 0.0, + "reward": 0.7587422616779804, + "reward_std": 0.9989555478096008, + "rewards/cosine_scaled_reward": 0.04603780619800091, + "rewards/format_reward": 0.666666679084301, + "step": 79 + }, + { + "completion_length": 2782.375045776367, + "epoch": 0.09142857142857143, + "grad_norm": 0.023466741666197777, + "kl": 0.00015717744827270508, + "learning_rate": 9.908088623197048e-07, + "loss": 0.0, + "reward": 0.6499133557081223, + "reward_std": 0.7965570129454136, + "rewards/cosine_scaled_reward": 0.05412333086133003, + "rewards/format_reward": 0.5416666716337204, + "step": 80 + }, + { + "completion_length": 2665.3542137145996, + "epoch": 0.09257142857142857, + "grad_norm": 0.028318636119365692, + "kl": 0.0001677870750427246, + "learning_rate": 9.901664203302124e-07, + "loss": 0.0, + "reward": 0.4032784029841423, + "reward_std": 0.6976380785927176, + "rewards/cosine_scaled_reward": -0.03794414922595024, + "rewards/format_reward": 0.4791666753590107, + "step": 81 + }, + { + "completion_length": 2347.4583702087402, + "epoch": 0.09371428571428571, + "grad_norm": 0.025593508034944534, + "kl": 0.00010985136032104492, + "learning_rate": 9.895025252503755e-07, + "loss": 0.0, + "reward": 0.8746878691017628, + "reward_std": 0.9405775591731071, + "rewards/cosine_scaled_reward": 0.14567727083340287, + "rewards/format_reward": 0.5833333376795053, + "step": 82 + }, + { + "completion_length": 2405.333366394043, + "epoch": 0.09485714285714286, + "grad_norm": 0.03943740949034691, + "kl": 0.00012260675430297852, + "learning_rate": 9.888172094375033e-07, + "loss": 0.0, + "reward": 0.6102542355656624, + "reward_std": 0.8917163014411926, + "rewards/cosine_scaled_reward": 0.03429375775158405, + "rewards/format_reward": 0.5416666679084301, + "step": 83 + }, + { + "completion_length": 2356.6666984558105, + "epoch": 0.096, + "grad_norm": 0.023660918697714806, + "kl": 0.00010949373245239258, + "learning_rate": 9.881105062929221e-07, + "loss": 0.0, + "reward": 0.49356625229120255, + "reward_std": 0.6785021275281906, + "rewards/cosine_scaled_reward": -0.03446688875555992, + "rewards/format_reward": 0.5625, + "step": 84 + }, + { + "completion_length": 2653.9791870117188, + "epoch": 0.09714285714285714, + "grad_norm": 0.01803443394601345, + "kl": 9.615719318389893e-05, + "learning_rate": 9.873824502603459e-07, + "loss": 0.0, + "reward": 0.8409973373636603, + "reward_std": 0.8465002179145813, + "rewards/cosine_scaled_reward": 0.10799866930756252, + "rewards/format_reward": 0.6250000093132257, + "step": 85 + }, + { + "completion_length": 2493.8542098999023, + "epoch": 0.09828571428571428, + "grad_norm": 0.026323335245251656, + "kl": 0.00012114644050598145, + "learning_rate": 9.866330768241983e-07, + "loss": 0.0, + "reward": 0.48225442320108414, + "reward_std": 0.4767768904566765, + "rewards/cosine_scaled_reward": -0.00887279398739338, + "rewards/format_reward": 0.5, + "step": 86 + }, + { + "completion_length": 2238.4583587646484, + "epoch": 0.09942857142857142, + "grad_norm": 0.02708311937749386, + "kl": 0.00014419853687286377, + "learning_rate": 9.85862422507884e-07, + "loss": 0.0, + "reward": 0.8275710507296026, + "reward_std": 0.5411144681274891, + "rewards/cosine_scaled_reward": 0.09086884278804064, + "rewards/format_reward": 0.6458333432674408, + "step": 87 + }, + { + "completion_length": 1580.8958854675293, + "epoch": 0.10057142857142858, + "grad_norm": 0.029665708541870117, + "kl": 8.863955736160278e-05, + "learning_rate": 9.850705248720068e-07, + "loss": 0.0, + "reward": 0.9847916029393673, + "reward_std": 0.9228500425815582, + "rewards/cosine_scaled_reward": 0.08614580077119172, + "rewards/format_reward": 0.812500013038516, + "step": 88 + }, + { + "completion_length": 2665.1666870117188, + "epoch": 0.10171428571428572, + "grad_norm": 0.019765589386224747, + "kl": 0.00011581182479858398, + "learning_rate": 9.8425742251254e-07, + "loss": 0.0, + "reward": 0.6976313246414065, + "reward_std": 0.7233806774020195, + "rewards/cosine_scaled_reward": 0.09881562972441316, + "rewards/format_reward": 0.5000000055879354, + "step": 89 + }, + { + "completion_length": 2352.7291870117188, + "epoch": 0.10285714285714286, + "grad_norm": 0.04337649419903755, + "kl": 0.00018215179443359375, + "learning_rate": 9.83423155058946e-07, + "loss": 0.0, + "reward": 0.2358827404677868, + "reward_std": 0.5784358195960522, + "rewards/cosine_scaled_reward": -0.15289196744561195, + "rewards/format_reward": 0.5416666734963655, + "step": 90 + }, + { + "completion_length": 2579.8750534057617, + "epoch": 0.104, + "grad_norm": 0.024008560925722122, + "kl": 0.00012639164924621582, + "learning_rate": 9.825677631722435e-07, + "loss": 0.0, + "reward": 0.5804571909829974, + "reward_std": 0.7776114530861378, + "rewards/cosine_scaled_reward": 0.029811910664648167, + "rewards/format_reward": 0.5208333358168602, + "step": 91 + }, + { + "completion_length": 2127.750015258789, + "epoch": 0.10514285714285715, + "grad_norm": 0.03029821440577507, + "kl": 9.115040302276611e-05, + "learning_rate": 9.816912885430258e-07, + "loss": 0.0, + "reward": 0.6724662911146879, + "reward_std": 0.40310859866440296, + "rewards/cosine_scaled_reward": -0.059600187465548515, + "rewards/format_reward": 0.7916666716337204, + "step": 92 + }, + { + "completion_length": 3542.4791870117188, + "epoch": 0.10628571428571429, + "grad_norm": 0.01921100728213787, + "kl": 0.00022071599960327148, + "learning_rate": 9.807937738894303e-07, + "loss": 0.0, + "reward": -0.3310100920498371, + "reward_std": 0.44439256377518177, + "rewards/cosine_scaled_reward": -0.19675504975020885, + "rewards/format_reward": 0.06250000186264515, + "step": 93 + }, + { + "completion_length": 2373.1667251586914, + "epoch": 0.10742857142857143, + "grad_norm": 0.02489403821527958, + "kl": 0.0001574680209159851, + "learning_rate": 9.798752629550546e-07, + "loss": 0.0, + "reward": 0.7052749944850802, + "reward_std": 0.8667173758149147, + "rewards/cosine_scaled_reward": 0.05055414792150259, + "rewards/format_reward": 0.6041666716337204, + "step": 94 + }, + { + "completion_length": 3027.5208740234375, + "epoch": 0.10857142857142857, + "grad_norm": 0.02021307684481144, + "kl": 0.0001308917999267578, + "learning_rate": 9.78935800506826e-07, + "loss": 0.0, + "reward": 0.38812466710805893, + "reward_std": 0.7133069280534983, + "rewards/cosine_scaled_reward": -0.03510434227064252, + "rewards/format_reward": 0.4583333395421505, + "step": 95 + }, + { + "completion_length": 2473.1875762939453, + "epoch": 0.10971428571428571, + "grad_norm": 0.030283445492386818, + "kl": 9.927153587341309e-05, + "learning_rate": 9.779754323328192e-07, + "loss": 0.0, + "reward": 0.6445761788636446, + "reward_std": 0.8469636254012585, + "rewards/cosine_scaled_reward": 0.04103806708008051, + "rewards/format_reward": 0.5625000055879354, + "step": 96 + }, + { + "completion_length": 2826.166732788086, + "epoch": 0.11085714285714286, + "grad_norm": 0.022094760090112686, + "kl": 0.00012320280075073242, + "learning_rate": 9.769942052400235e-07, + "loss": 0.0, + "reward": 0.33709235209971666, + "reward_std": 0.8025432769209146, + "rewards/cosine_scaled_reward": -0.03978714719414711, + "rewards/format_reward": 0.4166666753590107, + "step": 97 + }, + { + "completion_length": 2312.9166946411133, + "epoch": 0.112, + "grad_norm": 0.032762184739112854, + "kl": 9.972602128982544e-05, + "learning_rate": 9.759921670520634e-07, + "loss": 0.0, + "reward": 0.34186697006225586, + "reward_std": 0.7580292820930481, + "rewards/cosine_scaled_reward": -0.06864983681589365, + "rewards/format_reward": 0.47916667722165585, + "step": 98 + }, + { + "completion_length": 2789.12504196167, + "epoch": 0.11314285714285714, + "grad_norm": 0.0221230611205101, + "kl": 0.00011648237705230713, + "learning_rate": 9.749693666068663e-07, + "loss": 0.0, + "reward": 0.3996657454408705, + "reward_std": 0.7801091782748699, + "rewards/cosine_scaled_reward": -0.02933379588648677, + "rewards/format_reward": 0.45833334140479565, + "step": 99 + }, + { + "completion_length": 2257.708381652832, + "epoch": 0.11428571428571428, + "grad_norm": 0.023916251957416534, + "kl": 0.00011393427848815918, + "learning_rate": 9.739258537542835e-07, + "loss": 0.0, + "reward": 1.030206087976694, + "reward_std": 0.9744261428713799, + "rewards/cosine_scaled_reward": 0.1921863555908203, + "rewards/format_reward": 0.6458333414047956, + "step": 100 + }, + { + "completion_length": 2282.979202270508, + "epoch": 0.11542857142857142, + "grad_norm": 0.029999660328030586, + "kl": 0.0001456141471862793, + "learning_rate": 9.728616793536587e-07, + "loss": 0.0, + "reward": 0.869966953061521, + "reward_std": 0.784905806183815, + "rewards/cosine_scaled_reward": 0.11206682212650776, + "rewards/format_reward": 0.6458333488553762, + "step": 101 + }, + { + "completion_length": 2075.9792098999023, + "epoch": 0.11657142857142858, + "grad_norm": 0.030493436381220818, + "kl": 0.00013086199760437012, + "learning_rate": 9.717768952713511e-07, + "loss": 0.0, + "reward": 0.8771389909088612, + "reward_std": 0.7964347116649151, + "rewards/cosine_scaled_reward": 0.07398613449186087, + "rewards/format_reward": 0.7291666753590107, + "step": 102 + }, + { + "completion_length": 2310.7500228881836, + "epoch": 0.11771428571428572, + "grad_norm": 0.029018821194767952, + "kl": 0.00010515749454498291, + "learning_rate": 9.706715543782064e-07, + "loss": 0.0, + "reward": 0.5800389759242535, + "reward_std": 0.5602545086294413, + "rewards/cosine_scaled_reward": -0.06414720602333546, + "rewards/format_reward": 0.7083333358168602, + "step": 103 + }, + { + "completion_length": 2372.104263305664, + "epoch": 0.11885714285714286, + "grad_norm": 0.027296504005789757, + "kl": 0.0001329481601715088, + "learning_rate": 9.695457105469804e-07, + "loss": 0.0, + "reward": 0.5882483441382647, + "reward_std": 0.730236142873764, + "rewards/cosine_scaled_reward": -0.028792519122362137, + "rewards/format_reward": 0.6458333395421505, + "step": 104 + }, + { + "completion_length": 2313.625030517578, + "epoch": 0.12, + "grad_norm": 0.025855960324406624, + "kl": 0.00012581050395965576, + "learning_rate": 9.683994186497132e-07, + "loss": 0.0, + "reward": 1.154417909681797, + "reward_std": 0.6686892919242382, + "rewards/cosine_scaled_reward": 0.25429226853884757, + "rewards/format_reward": 0.6458333395421505, + "step": 105 + }, + { + "completion_length": 1879.3125457763672, + "epoch": 0.12114285714285715, + "grad_norm": 0.030279330909252167, + "kl": 7.063150405883789e-05, + "learning_rate": 9.672327345550543e-07, + "loss": 0.0, + "reward": 1.0762072280049324, + "reward_std": 0.7403409704566002, + "rewards/cosine_scaled_reward": 0.1735202744603157, + "rewards/format_reward": 0.7291666697710752, + "step": 106 + }, + { + "completion_length": 2561.50004196167, + "epoch": 0.12228571428571429, + "grad_norm": 0.023640897125005722, + "kl": 0.00015266239643096924, + "learning_rate": 9.66045715125541e-07, + "loss": 0.0, + "reward": 0.47847325541079044, + "reward_std": 0.5093330107629299, + "rewards/cosine_scaled_reward": -0.02118003647774458, + "rewards/format_reward": 0.520833333954215, + "step": 107 + }, + { + "completion_length": 2796.229179382324, + "epoch": 0.12342857142857143, + "grad_norm": 0.02216712199151516, + "kl": 0.00013267993927001953, + "learning_rate": 9.648384182148252e-07, + "loss": 0.0, + "reward": 0.4137321300804615, + "reward_std": 0.7223830446600914, + "rewards/cosine_scaled_reward": -0.0014672763645648956, + "rewards/format_reward": 0.41666667349636555, + "step": 108 + }, + { + "completion_length": 2795.687545776367, + "epoch": 0.12457142857142857, + "grad_norm": 0.022554874420166016, + "kl": 0.0001379549503326416, + "learning_rate": 9.636109026648554e-07, + "loss": 0.0, + "reward": 0.27347924932837486, + "reward_std": 0.6205065222457051, + "rewards/cosine_scaled_reward": -0.050760375801473856, + "rewards/format_reward": 0.3750000037252903, + "step": 109 + }, + { + "completion_length": 2653.0417442321777, + "epoch": 0.12571428571428572, + "grad_norm": 0.02770637348294258, + "kl": 0.00011685490608215332, + "learning_rate": 9.623632283030077e-07, + "loss": 0.0, + "reward": 1.0205977819859982, + "reward_std": 0.9722634367644787, + "rewards/cosine_scaled_reward": 0.17696558311581612, + "rewards/format_reward": 0.6666666828095913, + "step": 110 + }, + { + "completion_length": 2789.4583587646484, + "epoch": 0.12685714285714286, + "grad_norm": 0.0231799129396677, + "kl": 0.00014919042587280273, + "learning_rate": 9.610954559391704e-07, + "loss": 0.0, + "reward": 0.5839154049754143, + "reward_std": 0.6967787519097328, + "rewards/cosine_scaled_reward": 0.07320770528167486, + "rewards/format_reward": 0.43750001303851604, + "step": 111 + }, + { + "completion_length": 3039.875030517578, + "epoch": 0.128, + "grad_norm": 0.021811209619045258, + "kl": 0.00016495585441589355, + "learning_rate": 9.598076473627796e-07, + "loss": 0.0, + "reward": 0.43579965829849243, + "reward_std": 0.8692431841045618, + "rewards/cosine_scaled_reward": -0.0008501838892698288, + "rewards/format_reward": 0.4375000111758709, + "step": 112 + }, + { + "completion_length": 2002.0000305175781, + "epoch": 0.12914285714285714, + "grad_norm": 0.03178806230425835, + "kl": 0.00013971328735351562, + "learning_rate": 9.58499865339809e-07, + "loss": 0.0, + "reward": 0.7515672761946917, + "reward_std": 0.8758837655186653, + "rewards/cosine_scaled_reward": 0.0007836292497813702, + "rewards/format_reward": 0.7500000093132257, + "step": 113 + }, + { + "completion_length": 2049.791717529297, + "epoch": 0.13028571428571428, + "grad_norm": 0.030137214809656143, + "kl": 8.422881364822388e-05, + "learning_rate": 9.571721736097088e-07, + "loss": 0.0, + "reward": 0.46851017512381077, + "reward_std": 0.3973765755072236, + "rewards/cosine_scaled_reward": -0.11991160549223423, + "rewards/format_reward": 0.708333333954215, + "step": 114 + }, + { + "completion_length": 2772.979217529297, + "epoch": 0.13142857142857142, + "grad_norm": 0.031248675659298897, + "kl": 0.00012229382991790771, + "learning_rate": 9.55824636882301e-07, + "loss": 0.0, + "reward": 0.7633647555485368, + "reward_std": 0.8922017849981785, + "rewards/cosine_scaled_reward": 0.14209904265590012, + "rewards/format_reward": 0.47916667349636555, + "step": 115 + }, + { + "completion_length": 3117.1875534057617, + "epoch": 0.13257142857142856, + "grad_norm": 0.025444043800234795, + "kl": 0.00015610456466674805, + "learning_rate": 9.54457320834625e-07, + "loss": 0.0, + "reward": 0.1580726346001029, + "reward_std": 0.614492192864418, + "rewards/cosine_scaled_reward": -0.08763036131858826, + "rewards/format_reward": 0.3333333395421505, + "step": 116 + }, + { + "completion_length": 2826.8958892822266, + "epoch": 0.1337142857142857, + "grad_norm": 0.02326161414384842, + "kl": 0.00017911195755004883, + "learning_rate": 9.530702921077358e-07, + "loss": 0.0, + "reward": 0.10269369930028915, + "reward_std": 0.7328709326684475, + "rewards/cosine_scaled_reward": -0.14656982268206775, + "rewards/format_reward": 0.3958333469927311, + "step": 117 + }, + { + "completion_length": 2824.666717529297, + "epoch": 0.13485714285714287, + "grad_norm": 0.020892256870865822, + "kl": 0.00012445449829101562, + "learning_rate": 9.516636183034564e-07, + "loss": 0.0, + "reward": 1.3870177865028381, + "reward_std": 1.0715553350746632, + "rewards/cosine_scaled_reward": 0.3601755518466234, + "rewards/format_reward": 0.6666666753590107, + "step": 118 + }, + { + "completion_length": 1789.0000267028809, + "epoch": 0.136, + "grad_norm": 0.042789019644260406, + "kl": 9.068846702575684e-05, + "learning_rate": 9.502373679810839e-07, + "loss": 0.0, + "reward": 0.9923834577202797, + "reward_std": 0.4148991871625185, + "rewards/cosine_scaled_reward": 0.1420250441879034, + "rewards/format_reward": 0.7083333358168602, + "step": 119 + }, + { + "completion_length": 2159.7292098999023, + "epoch": 0.13714285714285715, + "grad_norm": 0.030027495697140694, + "kl": 0.00016351789236068726, + "learning_rate": 9.487916106540465e-07, + "loss": 0.0, + "reward": 0.6492169927805662, + "reward_std": 0.827868428081274, + "rewards/cosine_scaled_reward": 0.032941827550530434, + "rewards/format_reward": 0.5833333432674408, + "step": 120 + }, + { + "completion_length": 1691.541690826416, + "epoch": 0.1382857142857143, + "grad_norm": 0.03286458179354668, + "kl": 0.00010415911674499512, + "learning_rate": 9.473264167865171e-07, + "loss": 0.0, + "reward": 0.7581329848617315, + "reward_std": 0.4227004833519459, + "rewards/cosine_scaled_reward": 0.03531647473573685, + "rewards/format_reward": 0.6875000018626451, + "step": 121 + }, + { + "completion_length": 2760.31254196167, + "epoch": 0.13942857142857143, + "grad_norm": 0.024439577013254166, + "kl": 0.0001647472381591797, + "learning_rate": 9.458418577899774e-07, + "loss": 0.0, + "reward": 0.755975735373795, + "reward_std": 0.785768523812294, + "rewards/cosine_scaled_reward": 0.08632119931280613, + "rewards/format_reward": 0.583333333954215, + "step": 122 + }, + { + "completion_length": 2559.270896911621, + "epoch": 0.14057142857142857, + "grad_norm": 0.021681685000658035, + "kl": 0.00013074278831481934, + "learning_rate": 9.443380060197385e-07, + "loss": 0.0, + "reward": 0.5207496341317892, + "reward_std": 0.6123828925192356, + "rewards/cosine_scaled_reward": -0.010458520613610744, + "rewards/format_reward": 0.5416666772216558, + "step": 123 + }, + { + "completion_length": 1917.479175567627, + "epoch": 0.1417142857142857, + "grad_norm": 0.028799263760447502, + "kl": 7.950514554977417e-05, + "learning_rate": 9.428149347714143e-07, + "loss": 0.0, + "reward": 1.3661205926910043, + "reward_std": 0.6406003027223051, + "rewards/cosine_scaled_reward": 0.3288935967721045, + "rewards/format_reward": 0.7083333358168602, + "step": 124 + }, + { + "completion_length": 2284.5833435058594, + "epoch": 0.14285714285714285, + "grad_norm": 0.026874002069234848, + "kl": 9.514018893241882e-05, + "learning_rate": 9.412727182773486e-07, + "loss": 0.0, + "reward": 0.4183652549982071, + "reward_std": 0.5504244212061167, + "rewards/cosine_scaled_reward": -0.019984053447842598, + "rewards/format_reward": 0.4583333432674408, + "step": 125 + }, + { + "completion_length": 2366.625045776367, + "epoch": 0.144, + "grad_norm": 0.025750989094376564, + "kl": 0.0001022443175315857, + "learning_rate": 9.397114317029974e-07, + "loss": 0.0, + "reward": 0.8881729152053595, + "reward_std": 0.8806649167090654, + "rewards/cosine_scaled_reward": 0.14200311340391636, + "rewards/format_reward": 0.604166679084301, + "step": 126 + }, + { + "completion_length": 3196.8750610351562, + "epoch": 0.14514285714285713, + "grad_norm": 0.01978475973010063, + "kl": 0.000141829252243042, + "learning_rate": 9.381311511432658e-07, + "loss": 0.0, + "reward": -0.040465060621500015, + "reward_std": 0.6252349764108658, + "rewards/cosine_scaled_reward": -0.17648251354694366, + "rewards/format_reward": 0.31250000931322575, + "step": 127 + }, + { + "completion_length": 2271.8958740234375, + "epoch": 0.1462857142857143, + "grad_norm": 0.029708651825785637, + "kl": 0.00015082955360412598, + "learning_rate": 9.36531953618799e-07, + "loss": 0.0, + "reward": 0.825566089246422, + "reward_std": 0.7982673496007919, + "rewards/cosine_scaled_reward": 0.11069970577955246, + "rewards/format_reward": 0.6041666753590107, + "step": 128 + }, + { + "completion_length": 3237.4583435058594, + "epoch": 0.14742857142857144, + "grad_norm": 0.019838884472846985, + "kl": 0.0001277327537536621, + "learning_rate": 9.34913917072228e-07, + "loss": 0.0, + "reward": 0.4639533148147166, + "reward_std": 0.9510225504636765, + "rewards/cosine_scaled_reward": 0.03405998833477497, + "rewards/format_reward": 0.39583334140479565, + "step": 129 + }, + { + "completion_length": 3055.3333587646484, + "epoch": 0.14857142857142858, + "grad_norm": 0.020251061767339706, + "kl": 0.0001876354217529297, + "learning_rate": 9.332771203643714e-07, + "loss": 0.0, + "reward": 0.29083502665162086, + "reward_std": 0.9767868965864182, + "rewards/cosine_scaled_reward": -0.00041582807898521423, + "rewards/format_reward": 0.2916666679084301, + "step": 130 + }, + { + "completion_length": 2579.000068664551, + "epoch": 0.14971428571428572, + "grad_norm": 0.023820001631975174, + "kl": 0.0001468360424041748, + "learning_rate": 9.316216432703916e-07, + "loss": 0.0, + "reward": 0.7045300118625164, + "reward_std": 0.47794024273753166, + "rewards/cosine_scaled_reward": 0.0814316663891077, + "rewards/format_reward": 0.5416666716337204, + "step": 131 + }, + { + "completion_length": 2430.1250228881836, + "epoch": 0.15085714285714286, + "grad_norm": 0.024699199944734573, + "kl": 0.00010822713375091553, + "learning_rate": 9.299475664759068e-07, + "loss": 0.0, + "reward": 0.9790843389928341, + "reward_std": 0.9423319976776838, + "rewards/cosine_scaled_reward": 0.22912549204193056, + "rewards/format_reward": 0.5208333358168602, + "step": 132 + }, + { + "completion_length": 3047.2083587646484, + "epoch": 0.152, + "grad_norm": 0.020359130576252937, + "kl": 0.00017851591110229492, + "learning_rate": 9.282549715730579e-07, + "loss": 0.0, + "reward": 0.1808095509186387, + "reward_std": 0.9317280426621437, + "rewards/cosine_scaled_reward": -0.08667857074760832, + "rewards/format_reward": 0.3541666753590107, + "step": 133 + }, + { + "completion_length": 2291.5833892822266, + "epoch": 0.15314285714285714, + "grad_norm": 0.02574433758854866, + "kl": 0.00011102622374892235, + "learning_rate": 9.265439410565328e-07, + "loss": 0.0, + "reward": 0.8931092359125614, + "reward_std": 0.7652852088212967, + "rewards/cosine_scaled_reward": 0.14447128726169467, + "rewards/format_reward": 0.6041666734963655, + "step": 134 + }, + { + "completion_length": 1257.270839691162, + "epoch": 0.15428571428571428, + "grad_norm": 0.037061907351017, + "kl": 6.86943531036377e-05, + "learning_rate": 9.248145583195447e-07, + "loss": 0.0, + "reward": 1.4347281754016876, + "reward_std": 0.5897002862766385, + "rewards/cosine_scaled_reward": 0.2798640683759004, + "rewards/format_reward": 0.8750000055879354, + "step": 135 + }, + { + "completion_length": 2301.437515258789, + "epoch": 0.15542857142857142, + "grad_norm": 0.029598237946629524, + "kl": 0.00010699033737182617, + "learning_rate": 9.230669076497687e-07, + "loss": 0.0, + "reward": 1.0288100242614746, + "reward_std": 0.6650557238608599, + "rewards/cosine_scaled_reward": 0.2227383404970169, + "rewards/format_reward": 0.5833333358168602, + "step": 136 + }, + { + "completion_length": 2888.0833740234375, + "epoch": 0.15657142857142858, + "grad_norm": 0.021254906430840492, + "kl": 0.00012347102165222168, + "learning_rate": 9.213010742252327e-07, + "loss": 0.0, + "reward": 0.15984412096440792, + "reward_std": 0.8047252930700779, + "rewards/cosine_scaled_reward": -0.12841127801220864, + "rewards/format_reward": 0.41666667722165585, + "step": 137 + }, + { + "completion_length": 2664.2500610351562, + "epoch": 0.15771428571428572, + "grad_norm": 0.04367408901453018, + "kl": 0.00011092424392700195, + "learning_rate": 9.195171441101668e-07, + "loss": 0.0, + "reward": 0.13648264110088348, + "reward_std": 0.6316529109608382, + "rewards/cosine_scaled_reward": -0.12967534782364964, + "rewards/format_reward": 0.3958333432674408, + "step": 138 + }, + { + "completion_length": 2937.541717529297, + "epoch": 0.15885714285714286, + "grad_norm": 0.02476118691265583, + "kl": 0.00015249848365783691, + "learning_rate": 9.177152042508077e-07, + "loss": 0.0, + "reward": 0.49358947202563286, + "reward_std": 0.7895509861409664, + "rewards/cosine_scaled_reward": -0.003205273300409317, + "rewards/format_reward": 0.5000000018626451, + "step": 139 + }, + { + "completion_length": 2945.854202270508, + "epoch": 0.16, + "grad_norm": 0.021247655153274536, + "kl": 0.00016349554061889648, + "learning_rate": 9.158953424711624e-07, + "loss": 0.0, + "reward": 0.7320265481248498, + "reward_std": 1.0867303423583508, + "rewards/cosine_scaled_reward": 0.12642992846667767, + "rewards/format_reward": 0.4791666828095913, + "step": 140 + }, + { + "completion_length": 2825.7292251586914, + "epoch": 0.16114285714285714, + "grad_norm": 0.02051922306418419, + "kl": 0.0001229420304298401, + "learning_rate": 9.140576474687263e-07, + "loss": 0.0, + "reward": 0.4059164673089981, + "reward_std": 0.9311309345066547, + "rewards/cosine_scaled_reward": -0.047041770070791245, + "rewards/format_reward": 0.5000000055879354, + "step": 141 + }, + { + "completion_length": 2637.9583892822266, + "epoch": 0.16228571428571428, + "grad_norm": 0.021125253289937973, + "kl": 0.0001480579376220703, + "learning_rate": 9.122022088101613e-07, + "loss": 0.0, + "reward": 0.559799462556839, + "reward_std": 0.6969177909195423, + "rewards/cosine_scaled_reward": -0.0221836119890213, + "rewards/format_reward": 0.6041666697710752, + "step": 142 + }, + { + "completion_length": 2216.8750762939453, + "epoch": 0.16342857142857142, + "grad_norm": 0.028433097526431084, + "kl": 0.00013668090105056763, + "learning_rate": 9.103291169269299e-07, + "loss": 0.0, + "reward": 0.6880653910338879, + "reward_std": 0.7187580987811089, + "rewards/cosine_scaled_reward": -0.020550659857690334, + "rewards/format_reward": 0.7291666697710752, + "step": 143 + }, + { + "completion_length": 2552.895881652832, + "epoch": 0.16457142857142856, + "grad_norm": 0.026991255581378937, + "kl": 0.00011313706636428833, + "learning_rate": 9.084384631108882e-07, + "loss": 0.0, + "reward": 0.8902260856702924, + "reward_std": 1.0206835009157658, + "rewards/cosine_scaled_reward": 0.16386302933096886, + "rewards/format_reward": 0.5625000111758709, + "step": 144 + }, + { + "completion_length": 1938.041732788086, + "epoch": 0.1657142857142857, + "grad_norm": 0.032270271331071854, + "kl": 0.00011307001113891602, + "learning_rate": 9.065303395098358e-07, + "loss": 0.0, + "reward": 0.7428423997480422, + "reward_std": 0.5232174023985863, + "rewards/cosine_scaled_reward": 0.05892119184136391, + "rewards/format_reward": 0.6250000055879354, + "step": 145 + }, + { + "completion_length": 2219.791702270508, + "epoch": 0.16685714285714287, + "grad_norm": 0.02581549808382988, + "kl": 0.00010230764746665955, + "learning_rate": 9.046048391230247e-07, + "loss": 0.0, + "reward": 0.07503729220479727, + "reward_std": 0.5477688852697611, + "rewards/cosine_scaled_reward": -0.2541480294894427, + "rewards/format_reward": 0.5833333414047956, + "step": 146 + }, + { + "completion_length": 3379.812530517578, + "epoch": 0.168, + "grad_norm": 0.01836305670440197, + "kl": 0.00017067790031433105, + "learning_rate": 9.026620557966279e-07, + "loss": 0.0, + "reward": 0.33875247836112976, + "reward_std": 0.7588643953204155, + "rewards/cosine_scaled_reward": 0.013126220554113388, + "rewards/format_reward": 0.31250001303851604, + "step": 147 + }, + { + "completion_length": 2358.4166870117188, + "epoch": 0.16914285714285715, + "grad_norm": 0.02416214346885681, + "kl": 0.0001198500394821167, + "learning_rate": 9.007020842191634e-07, + "loss": 0.0, + "reward": 0.6435984447598457, + "reward_std": 0.7261539697647095, + "rewards/cosine_scaled_reward": 0.009299194440245628, + "rewards/format_reward": 0.6250000074505806, + "step": 148 + }, + { + "completion_length": 2277.3750534057617, + "epoch": 0.1702857142857143, + "grad_norm": 0.021401530131697655, + "kl": 8.6270272731781e-05, + "learning_rate": 8.987250199168808e-07, + "loss": 0.0, + "reward": 1.1666594594717026, + "reward_std": 0.8260795883834362, + "rewards/cosine_scaled_reward": 0.18749637342989445, + "rewards/format_reward": 0.7916666753590107, + "step": 149 + }, + { + "completion_length": 2718.6667098999023, + "epoch": 0.17142857142857143, + "grad_norm": 0.026421265676617622, + "kl": 0.0001287609338760376, + "learning_rate": 8.967309592491052e-07, + "loss": 0.0, + "reward": 0.5824301056563854, + "reward_std": 0.8789757378399372, + "rewards/cosine_scaled_reward": 0.07246502116322517, + "rewards/format_reward": 0.4375000037252903, + "step": 150 + }, + { + "completion_length": 2435.0834045410156, + "epoch": 0.17257142857142857, + "grad_norm": 0.022044222801923752, + "kl": 0.00015279650688171387, + "learning_rate": 8.9471999940354e-07, + "loss": 0.0, + "reward": 1.020676076412201, + "reward_std": 0.8065766766667366, + "rewards/cosine_scaled_reward": 0.1770047047175467, + "rewards/format_reward": 0.6666666772216558, + "step": 151 + }, + { + "completion_length": 2837.125030517578, + "epoch": 0.1737142857142857, + "grad_norm": 0.03187905251979828, + "kl": 0.00020840764045715332, + "learning_rate": 8.926922383915315e-07, + "loss": 0.0, + "reward": -0.09739869087934494, + "reward_std": 0.588227073661983, + "rewards/cosine_scaled_reward": -0.21536601521074772, + "rewards/format_reward": 0.33333333395421505, + "step": 152 + }, + { + "completion_length": 2711.1666984558105, + "epoch": 0.17485714285714285, + "grad_norm": 0.02911432646214962, + "kl": 0.00015884637832641602, + "learning_rate": 8.906477750432903e-07, + "loss": 0.0, + "reward": 0.37669877288863063, + "reward_std": 0.8355071609839797, + "rewards/cosine_scaled_reward": -0.051233954494819045, + "rewards/format_reward": 0.4791666716337204, + "step": 153 + }, + { + "completion_length": 2756.3750228881836, + "epoch": 0.176, + "grad_norm": 0.02044747956097126, + "kl": 0.00012248754501342773, + "learning_rate": 8.88586709003076e-07, + "loss": 0.0, + "reward": 0.9225640147924423, + "reward_std": 0.8925285078585148, + "rewards/cosine_scaled_reward": 0.18003201112151146, + "rewards/format_reward": 0.5625000055879354, + "step": 154 + }, + { + "completion_length": 2223.312526702881, + "epoch": 0.17714285714285713, + "grad_norm": 0.03391764312982559, + "kl": 0.00013962388038635254, + "learning_rate": 8.865091407243394e-07, + "loss": 0.0, + "reward": 0.7340945638716221, + "reward_std": 0.9665955938398838, + "rewards/cosine_scaled_reward": 0.0649639368057251, + "rewards/format_reward": 0.6041666753590107, + "step": 155 + }, + { + "completion_length": 2733.0417098999023, + "epoch": 0.1782857142857143, + "grad_norm": 0.024309324100613594, + "kl": 0.00012956559658050537, + "learning_rate": 8.844151714648274e-07, + "loss": 0.0, + "reward": 0.21320721879601479, + "reward_std": 0.7121351584792137, + "rewards/cosine_scaled_reward": -0.08089640364050865, + "rewards/format_reward": 0.3750000037252903, + "step": 156 + }, + { + "completion_length": 2663.6041870117188, + "epoch": 0.17942857142857144, + "grad_norm": 0.023216916248202324, + "kl": 0.00014782696962356567, + "learning_rate": 8.823049032816478e-07, + "loss": 0.0, + "reward": 0.14814166724681854, + "reward_std": 0.3913048207759857, + "rewards/cosine_scaled_reward": -0.16551249055191875, + "rewards/format_reward": 0.4791666716337204, + "step": 157 + }, + { + "completion_length": 2328.541702270508, + "epoch": 0.18057142857142858, + "grad_norm": 0.03534715995192528, + "kl": 0.00013265013694763184, + "learning_rate": 8.801784390262943e-07, + "loss": 0.0, + "reward": 0.9912874735891819, + "reward_std": 0.8466089218854904, + "rewards/cosine_scaled_reward": 0.1727270409464836, + "rewards/format_reward": 0.645833345130086, + "step": 158 + }, + { + "completion_length": 3219.0833587646484, + "epoch": 0.18171428571428572, + "grad_norm": 0.02012258768081665, + "kl": 0.00016486644744873047, + "learning_rate": 8.780358823396352e-07, + "loss": 0.0, + "reward": 0.21142571535892785, + "reward_std": 0.7264946773648262, + "rewards/cosine_scaled_reward": -0.019287142204120755, + "rewards/format_reward": 0.25000000186264515, + "step": 159 + }, + { + "completion_length": 2777.000045776367, + "epoch": 0.18285714285714286, + "grad_norm": 0.025370828807353973, + "kl": 0.0001633763313293457, + "learning_rate": 8.758773376468604e-07, + "loss": 0.0, + "reward": 0.5651849992573261, + "reward_std": 0.7188206501305103, + "rewards/cosine_scaled_reward": 0.06384249404072762, + "rewards/format_reward": 0.43750000558793545, + "step": 160 + }, + { + "completion_length": 2474.541732788086, + "epoch": 0.184, + "grad_norm": 0.030321095138788223, + "kl": 0.00015471689403057098, + "learning_rate": 8.737029101523929e-07, + "loss": 0.0, + "reward": 0.7223290950059891, + "reward_std": 0.8424487709999084, + "rewards/cosine_scaled_reward": 0.05908120982348919, + "rewards/format_reward": 0.6041666828095913, + "step": 161 + }, + { + "completion_length": 3007.937530517578, + "epoch": 0.18514285714285714, + "grad_norm": 0.023185160011053085, + "kl": 0.00018095970153808594, + "learning_rate": 8.715127058347614e-07, + "loss": 0.0, + "reward": 0.43497929722070694, + "reward_std": 0.8792226985096931, + "rewards/cosine_scaled_reward": 0.009156312793493271, + "rewards/format_reward": 0.4166666753590107, + "step": 162 + }, + { + "completion_length": 2370.145866394043, + "epoch": 0.18628571428571428, + "grad_norm": 0.025774484500288963, + "kl": 0.00015078485012054443, + "learning_rate": 8.693068314414344e-07, + "loss": 0.0, + "reward": 0.9850538782775402, + "reward_std": 0.45399810932576656, + "rewards/cosine_scaled_reward": 0.1904435846954584, + "rewards/format_reward": 0.6041666716337204, + "step": 163 + }, + { + "completion_length": 2291.64591217041, + "epoch": 0.18742857142857142, + "grad_norm": 0.032293785363435745, + "kl": 0.00010757520794868469, + "learning_rate": 8.670853944836176e-07, + "loss": 0.0, + "reward": 0.8117690533399582, + "reward_std": 0.7221045140177011, + "rewards/cosine_scaled_reward": 0.11421786062419415, + "rewards/format_reward": 0.5833333376795053, + "step": 164 + }, + { + "completion_length": 2779.3125534057617, + "epoch": 0.18857142857142858, + "grad_norm": 0.02514166198670864, + "kl": 0.0001589655876159668, + "learning_rate": 8.648485032310144e-07, + "loss": 0.0, + "reward": 0.16848786175251007, + "reward_std": 0.7497027926146984, + "rewards/cosine_scaled_reward": -0.11367274331860244, + "rewards/format_reward": 0.39583333395421505, + "step": 165 + }, + { + "completion_length": 2580.3542251586914, + "epoch": 0.18971428571428572, + "grad_norm": 0.01945258490741253, + "kl": 0.00012123212218284607, + "learning_rate": 8.625962667065487e-07, + "loss": 0.0, + "reward": 0.7501739612780511, + "reward_std": 1.0527099072933197, + "rewards/cosine_scaled_reward": 0.10425363201647997, + "rewards/format_reward": 0.5416666753590107, + "step": 166 + }, + { + "completion_length": 2261.9166946411133, + "epoch": 0.19085714285714286, + "grad_norm": 0.024124927818775177, + "kl": 0.00012174248695373535, + "learning_rate": 8.603287946810513e-07, + "loss": 0.0, + "reward": 0.5743089579045773, + "reward_std": 0.7672125902026892, + "rewards/cosine_scaled_reward": -0.014928878052160144, + "rewards/format_reward": 0.604166679084301, + "step": 167 + }, + { + "completion_length": 2618.8958587646484, + "epoch": 0.192, + "grad_norm": 0.02464590221643448, + "kl": 0.00015217065811157227, + "learning_rate": 8.580461976679099e-07, + "loss": 0.0, + "reward": 0.6550418548285961, + "reward_std": 0.8852942362427711, + "rewards/cosine_scaled_reward": 0.056687585078179836, + "rewards/format_reward": 0.5416666753590107, + "step": 168 + }, + { + "completion_length": 1920.0208740234375, + "epoch": 0.19314285714285714, + "grad_norm": 0.02443297766149044, + "kl": 0.00012825848534703255, + "learning_rate": 8.557485869176825e-07, + "loss": 0.0, + "reward": 1.19900780916214, + "reward_std": 0.48580580204725266, + "rewards/cosine_scaled_reward": 0.2870038769906387, + "rewards/format_reward": 0.6250000055879354, + "step": 169 + }, + { + "completion_length": 2522.541702270508, + "epoch": 0.19428571428571428, + "grad_norm": 0.028783444315195084, + "kl": 0.00019599497318267822, + "learning_rate": 8.534360744126753e-07, + "loss": 0.0, + "reward": 0.48285481217317283, + "reward_std": 0.5786700565367937, + "rewards/cosine_scaled_reward": 0.0018440568819642067, + "rewards/format_reward": 0.4791666716337204, + "step": 170 + }, + { + "completion_length": 2279.4166870117188, + "epoch": 0.19542857142857142, + "grad_norm": 0.028025727719068527, + "kl": 0.0001086406409740448, + "learning_rate": 8.511087728614862e-07, + "loss": 0.0, + "reward": 0.6512754829600453, + "reward_std": 0.7119449377059937, + "rewards/cosine_scaled_reward": 0.06522107869386673, + "rewards/format_reward": 0.520833345130086, + "step": 171 + }, + { + "completion_length": 2717.416732788086, + "epoch": 0.19657142857142856, + "grad_norm": 0.0323350615799427, + "kl": 0.00017327070236206055, + "learning_rate": 8.487667956935087e-07, + "loss": 0.0, + "reward": 0.43108027055859566, + "reward_std": 0.6473873369395733, + "rewards/cosine_scaled_reward": 0.007206789217889309, + "rewards/format_reward": 0.4166666716337204, + "step": 172 + }, + { + "completion_length": 1855.1458549499512, + "epoch": 0.1977142857142857, + "grad_norm": 0.05176561325788498, + "kl": 0.00010795891284942627, + "learning_rate": 8.464102570534061e-07, + "loss": 0.0, + "reward": 0.4854015044402331, + "reward_std": 0.7094262056052685, + "rewards/cosine_scaled_reward": -0.059382592036854476, + "rewards/format_reward": 0.604166679084301, + "step": 173 + }, + { + "completion_length": 1968.1458587646484, + "epoch": 0.19885714285714284, + "grad_norm": 0.026019148528575897, + "kl": 0.0001271367073059082, + "learning_rate": 8.440392717955475e-07, + "loss": 0.0, + "reward": 0.9800305366516113, + "reward_std": 0.8449381552636623, + "rewards/cosine_scaled_reward": 0.09418194030877203, + "rewards/format_reward": 0.791666679084301, + "step": 174 + }, + { + "completion_length": 2335.395835876465, + "epoch": 0.2, + "grad_norm": 0.02863323502242565, + "kl": 0.00011295080184936523, + "learning_rate": 8.416539554784089e-07, + "loss": 0.0, + "reward": 0.6143988557159901, + "reward_std": 0.4556568693369627, + "rewards/cosine_scaled_reward": 0.05719940923154354, + "rewards/format_reward": 0.5, + "step": 175 + }, + { + "completion_length": 2449.2708778381348, + "epoch": 0.20114285714285715, + "grad_norm": 0.02869235724210739, + "kl": 0.00014215707778930664, + "learning_rate": 8.392544243589427e-07, + "loss": 0.0, + "reward": 1.1555413324385881, + "reward_std": 1.0306697580963373, + "rewards/cosine_scaled_reward": 0.24443731893552467, + "rewards/format_reward": 0.6666666753590107, + "step": 176 + }, + { + "completion_length": 2694.562515258789, + "epoch": 0.2022857142857143, + "grad_norm": 0.023254889994859695, + "kl": 0.00017695128917694092, + "learning_rate": 8.368407953869103e-07, + "loss": 0.0, + "reward": 0.26045722933486104, + "reward_std": 0.7560887522995472, + "rewards/cosine_scaled_reward": -0.11977138603106141, + "rewards/format_reward": 0.5000000074505806, + "step": 177 + }, + { + "completion_length": 2326.645896911621, + "epoch": 0.20342857142857143, + "grad_norm": 0.05164008587598801, + "kl": 0.0001480579376220703, + "learning_rate": 8.344131861991828e-07, + "loss": 0.0, + "reward": 0.6920488923788071, + "reward_std": 0.6076631285250187, + "rewards/cosine_scaled_reward": 0.0439411043189466, + "rewards/format_reward": 0.6041666716337204, + "step": 178 + }, + { + "completion_length": 2577.729202270508, + "epoch": 0.20457142857142857, + "grad_norm": 0.025095604360103607, + "kl": 0.0001359879970550537, + "learning_rate": 8.319717151140072e-07, + "loss": 0.0, + "reward": 0.22021218854933977, + "reward_std": 0.6630701459944248, + "rewards/cosine_scaled_reward": -0.1294772457331419, + "rewards/format_reward": 0.47916666977107525, + "step": 179 + }, + { + "completion_length": 2143.1666870117188, + "epoch": 0.2057142857142857, + "grad_norm": 0.03228743001818657, + "kl": 0.00014454126358032227, + "learning_rate": 8.295165011252396e-07, + "loss": 0.0, + "reward": 0.7503797290846705, + "reward_std": 0.2802760358899832, + "rewards/cosine_scaled_reward": 0.06268983148038387, + "rewards/format_reward": 0.625, + "step": 180 + }, + { + "completion_length": 2969.541702270508, + "epoch": 0.20685714285714285, + "grad_norm": 0.022628450766205788, + "kl": 0.00018687546253204346, + "learning_rate": 8.270476638965461e-07, + "loss": 0.0, + "reward": 0.40104219946078956, + "reward_std": 0.6805736906826496, + "rewards/cosine_scaled_reward": 0.002604421228170395, + "rewards/format_reward": 0.3958333358168602, + "step": 181 + }, + { + "completion_length": 1776.2708587646484, + "epoch": 0.208, + "grad_norm": 0.025273211300373077, + "kl": 9.524030610918999e-05, + "learning_rate": 8.245653237555705e-07, + "loss": 0.0, + "reward": 0.8596987724304199, + "reward_std": 0.5180976707488298, + "rewards/cosine_scaled_reward": 0.05484938062727451, + "rewards/format_reward": 0.75, + "step": 182 + }, + { + "completion_length": 1851.4792022705078, + "epoch": 0.20914285714285713, + "grad_norm": 0.027847742661833763, + "kl": 9.390711784362793e-05, + "learning_rate": 8.220696016880687e-07, + "loss": 0.0, + "reward": 0.8440241813659668, + "reward_std": 0.6227804413065314, + "rewards/cosine_scaled_reward": 0.06784541811794043, + "rewards/format_reward": 0.7083333358168602, + "step": 183 + }, + { + "completion_length": 2858.520854949951, + "epoch": 0.2102857142857143, + "grad_norm": 0.035307928919792175, + "kl": 0.0001779794692993164, + "learning_rate": 8.195606193320136e-07, + "loss": 0.0, + "reward": 0.06458963826298714, + "reward_std": 0.34594947658479214, + "rewards/cosine_scaled_reward": -0.14478851668536663, + "rewards/format_reward": 0.3541666716337204, + "step": 184 + }, + { + "completion_length": 2389.1250038146973, + "epoch": 0.21142857142857144, + "grad_norm": 0.02831236459314823, + "kl": 0.00010818615555763245, + "learning_rate": 8.170384989716657e-07, + "loss": 0.0, + "reward": 0.5413765218108892, + "reward_std": 0.4714433569461107, + "rewards/cosine_scaled_reward": -0.00014507770538330078, + "rewards/format_reward": 0.5416666679084301, + "step": 185 + }, + { + "completion_length": 2767.6666870117188, + "epoch": 0.21257142857142858, + "grad_norm": 0.023117488250136375, + "kl": 0.0001722574234008789, + "learning_rate": 8.145033635316128e-07, + "loss": 0.0, + "reward": 0.41337184607982635, + "reward_std": 0.5102072861045599, + "rewards/cosine_scaled_reward": 0.01918593794107437, + "rewards/format_reward": 0.375, + "step": 186 + }, + { + "completion_length": 2513.5000381469727, + "epoch": 0.21371428571428572, + "grad_norm": 0.028418753296136856, + "kl": 0.00018349289894104004, + "learning_rate": 8.119553365707802e-07, + "loss": 0.0, + "reward": 0.25105898082256317, + "reward_std": 0.609873728826642, + "rewards/cosine_scaled_reward": -0.10363717749714851, + "rewards/format_reward": 0.4583333395421505, + "step": 187 + }, + { + "completion_length": 3422.1458435058594, + "epoch": 0.21485714285714286, + "grad_norm": 0.017747724428772926, + "kl": 0.00021284818649291992, + "learning_rate": 8.093945422764069e-07, + "loss": 0.0, + "reward": 0.0721919247880578, + "reward_std": 0.6335567105561495, + "rewards/cosine_scaled_reward": -0.07848738227039576, + "rewards/format_reward": 0.2291666716337204, + "step": 188 + }, + { + "completion_length": 1912.0000305175781, + "epoch": 0.216, + "grad_norm": 0.03303361311554909, + "kl": 0.00013190507888793945, + "learning_rate": 8.068211054579943e-07, + "loss": 0.0, + "reward": 0.6457886800635606, + "reward_std": 0.5706375325098634, + "rewards/cosine_scaled_reward": -0.010438980534672737, + "rewards/format_reward": 0.6666666679084301, + "step": 189 + }, + { + "completion_length": 2566.1666831970215, + "epoch": 0.21714285714285714, + "grad_norm": 0.02325809746980667, + "kl": 0.00013524293899536133, + "learning_rate": 8.04235151541222e-07, + "loss": 0.0, + "reward": 0.6750274561345577, + "reward_std": 0.8541564792394638, + "rewards/cosine_scaled_reward": 0.08751372992992401, + "rewards/format_reward": 0.5000000074505806, + "step": 190 + }, + { + "completion_length": 2105.062530517578, + "epoch": 0.21828571428571428, + "grad_norm": 0.029074614867568016, + "kl": 0.0001640021800994873, + "learning_rate": 8.01636806561836e-07, + "loss": 0.0, + "reward": 1.0512720253318548, + "reward_std": 0.7890468016266823, + "rewards/cosine_scaled_reward": 0.1923026624135673, + "rewards/format_reward": 0.6666666734963655, + "step": 191 + }, + { + "completion_length": 3006.625045776367, + "epoch": 0.21942857142857142, + "grad_norm": 0.018196215853095055, + "kl": 0.0001971721649169922, + "learning_rate": 7.990261971595048e-07, + "loss": 0.0, + "reward": 0.1856545265763998, + "reward_std": 0.5431043151766062, + "rewards/cosine_scaled_reward": -0.11550608882680535, + "rewards/format_reward": 0.41666667722165585, + "step": 192 + }, + { + "completion_length": 2791.708396911621, + "epoch": 0.22057142857142858, + "grad_norm": 0.026738908141851425, + "kl": 0.00015562772750854492, + "learning_rate": 7.964034505716476e-07, + "loss": 0.0, + "reward": 0.6532938107848167, + "reward_std": 0.8042124956846237, + "rewards/cosine_scaled_reward": 0.03498022351413965, + "rewards/format_reward": 0.5833333432674408, + "step": 193 + }, + { + "completion_length": 2549.3333740234375, + "epoch": 0.22171428571428572, + "grad_norm": 0.02125261351466179, + "kl": 0.00017492473125457764, + "learning_rate": 7.93768694627233e-07, + "loss": 0.0, + "reward": 1.3440267005935311, + "reward_std": 0.6356805637478828, + "rewards/cosine_scaled_reward": 0.33868001215159893, + "rewards/format_reward": 0.6666666734963655, + "step": 194 + }, + { + "completion_length": 2541.9375610351562, + "epoch": 0.22285714285714286, + "grad_norm": 0.021625977009534836, + "kl": 0.00013524293899536133, + "learning_rate": 7.911220577405484e-07, + "loss": 0.0, + "reward": 0.45053595933131874, + "reward_std": 0.7725311703979969, + "rewards/cosine_scaled_reward": -0.055982012301683426, + "rewards/format_reward": 0.5625000018626451, + "step": 195 + }, + { + "completion_length": 3335.7083435058594, + "epoch": 0.224, + "grad_norm": 0.019518742337822914, + "kl": 0.00020563602447509766, + "learning_rate": 7.884636689049422e-07, + "loss": 0.0, + "reward": 0.07744309306144714, + "reward_std": 0.6891645342111588, + "rewards/cosine_scaled_reward": -0.13836179114878178, + "rewards/format_reward": 0.354166679084301, + "step": 196 + }, + { + "completion_length": 2233.312545776367, + "epoch": 0.22514285714285714, + "grad_norm": 0.031853772699832916, + "kl": 0.00016062520444393158, + "learning_rate": 7.857936576865356e-07, + "loss": 0.0, + "reward": 1.7223949134349823, + "reward_std": 1.0976359993219376, + "rewards/cosine_scaled_reward": 0.47578078508377075, + "rewards/format_reward": 0.7708333432674408, + "step": 197 + }, + { + "completion_length": 2403.312545776367, + "epoch": 0.22628571428571428, + "grad_norm": 0.02528354711830616, + "kl": 0.0001506805419921875, + "learning_rate": 7.831121542179086e-07, + "loss": 0.0, + "reward": 0.725980069488287, + "reward_std": 0.9397312067449093, + "rewards/cosine_scaled_reward": 0.07132336869835854, + "rewards/format_reward": 0.583333345130086, + "step": 198 + }, + { + "completion_length": 3550.500030517578, + "epoch": 0.22742857142857142, + "grad_norm": 0.01737813465297222, + "kl": 0.00018775463104248047, + "learning_rate": 7.804192891917571e-07, + "loss": 0.0, + "reward": -0.2171228351071477, + "reward_std": 0.7574310433119535, + "rewards/cosine_scaled_reward": -0.17106142034754157, + "rewards/format_reward": 0.12500000186264515, + "step": 199 + }, + { + "completion_length": 1939.5833740234375, + "epoch": 0.22857142857142856, + "grad_norm": 0.025537090376019478, + "kl": 0.00011917948722839355, + "learning_rate": 7.777151938545235e-07, + "loss": 0.0, + "reward": 1.1004857262596488, + "reward_std": 0.7319156341254711, + "rewards/cosine_scaled_reward": 0.16482618637382984, + "rewards/format_reward": 0.7708333358168602, + "step": 200 + }, + { + "completion_length": 2528.5209045410156, + "epoch": 0.2297142857142857, + "grad_norm": 0.026324188336730003, + "kl": 0.00013250857591629028, + "learning_rate": 7.75e-07, + "loss": 0.0, + "reward": 1.465837650001049, + "reward_std": 0.9725578310899436, + "rewards/cosine_scaled_reward": 0.3683354835957289, + "rewards/format_reward": 0.7291666828095913, + "step": 201 + }, + { + "completion_length": 2129.250030517578, + "epoch": 0.23085714285714284, + "grad_norm": 0.027547147125005722, + "kl": 0.00012653321027755737, + "learning_rate": 7.72273839962904e-07, + "loss": 0.0, + "reward": 1.2678888477385044, + "reward_std": 0.42415672820061445, + "rewards/cosine_scaled_reward": 0.3422777857631445, + "rewards/format_reward": 0.5833333358168602, + "step": 202 + }, + { + "completion_length": 3210.416717529297, + "epoch": 0.232, + "grad_norm": 0.02026360109448433, + "kl": 0.0002213120460510254, + "learning_rate": 7.695368466124296e-07, + "loss": 0.0, + "reward": 0.32417835108935833, + "reward_std": 0.8184224963188171, + "rewards/cosine_scaled_reward": -0.014994161203503609, + "rewards/format_reward": 0.35416667349636555, + "step": 203 + }, + { + "completion_length": 1677.7083892822266, + "epoch": 0.23314285714285715, + "grad_norm": 0.03866266459226608, + "kl": 0.0001564323902130127, + "learning_rate": 7.667891533457718e-07, + "loss": 0.0, + "reward": 0.9787286967039108, + "reward_std": 0.7050071842968464, + "rewards/cosine_scaled_reward": 0.11436433251947165, + "rewards/format_reward": 0.7500000018626451, + "step": 204 + }, + { + "completion_length": 2191.7500762939453, + "epoch": 0.2342857142857143, + "grad_norm": 0.026666179299354553, + "kl": 0.00016039609909057617, + "learning_rate": 7.640308940816239e-07, + "loss": 0.0, + "reward": 1.4601695500314236, + "reward_std": 0.8596113231033087, + "rewards/cosine_scaled_reward": 0.3863347489386797, + "rewards/format_reward": 0.687500013038516, + "step": 205 + }, + { + "completion_length": 2625.3958435058594, + "epoch": 0.23542857142857143, + "grad_norm": 0.02177976816892624, + "kl": 0.00015854835510253906, + "learning_rate": 7.612622032536507e-07, + "loss": 0.0, + "reward": 0.12173939868807793, + "reward_std": 0.6548620201647282, + "rewards/cosine_scaled_reward": -0.15788030996918678, + "rewards/format_reward": 0.4375000074505806, + "step": 206 + }, + { + "completion_length": 2883.0625610351562, + "epoch": 0.23657142857142857, + "grad_norm": 0.026248862966895103, + "kl": 0.00018286705017089844, + "learning_rate": 7.584832158039378e-07, + "loss": 0.0, + "reward": 0.2657412812113762, + "reward_std": 0.7520406804978848, + "rewards/cosine_scaled_reward": -0.11712937615811825, + "rewards/format_reward": 0.5000000093132257, + "step": 207 + }, + { + "completion_length": 2729.125015258789, + "epoch": 0.2377142857142857, + "grad_norm": 0.022093147039413452, + "kl": 0.0001411736011505127, + "learning_rate": 7.556940671764124e-07, + "loss": 0.0, + "reward": 0.47902350744698197, + "reward_std": 0.7772372476756573, + "rewards/cosine_scaled_reward": 0.020761748775839806, + "rewards/format_reward": 0.43750000558793545, + "step": 208 + }, + { + "completion_length": 2192.9792289733887, + "epoch": 0.23885714285714285, + "grad_norm": 0.026345793157815933, + "kl": 0.00014121830463409424, + "learning_rate": 7.528948933102438e-07, + "loss": 0.0, + "reward": 1.030539353378117, + "reward_std": 0.5581800434738398, + "rewards/cosine_scaled_reward": 0.16110298968851566, + "rewards/format_reward": 0.7083333395421505, + "step": 209 + }, + { + "completion_length": 2763.8541870117188, + "epoch": 0.24, + "grad_norm": 0.0209537073969841, + "kl": 0.00013713538646697998, + "learning_rate": 7.500858306332172e-07, + "loss": 0.0, + "reward": 0.7295061359182, + "reward_std": 0.8547591110691428, + "rewards/cosine_scaled_reward": 0.10433638375252485, + "rewards/format_reward": 0.5208333358168602, + "step": 210 + }, + { + "completion_length": 2132.6041870117188, + "epoch": 0.24114285714285713, + "grad_norm": 0.029190730303525925, + "kl": 0.00014358758926391602, + "learning_rate": 7.472670160550848e-07, + "loss": 0.0, + "reward": 0.844088938087225, + "reward_std": 0.7269210359081626, + "rewards/cosine_scaled_reward": 0.09912779554724693, + "rewards/format_reward": 0.6458333358168602, + "step": 211 + }, + { + "completion_length": 1901.6458587646484, + "epoch": 0.2422857142857143, + "grad_norm": 0.03538208082318306, + "kl": 0.00014218688011169434, + "learning_rate": 7.444385869608921e-07, + "loss": 0.0, + "reward": 0.6045566711109132, + "reward_std": 0.5201306939125061, + "rewards/cosine_scaled_reward": -0.010221696458756924, + "rewards/format_reward": 0.6250000037252903, + "step": 212 + }, + { + "completion_length": 1943.0000381469727, + "epoch": 0.24342857142857144, + "grad_norm": 0.03535102307796478, + "kl": 0.00016012787818908691, + "learning_rate": 7.416006812042827e-07, + "loss": 0.0, + "reward": 1.4567882642149925, + "reward_std": 0.7881541578099132, + "rewards/cosine_scaled_reward": 0.3742274232208729, + "rewards/format_reward": 0.7083333432674408, + "step": 213 + }, + { + "completion_length": 2420.416702270508, + "epoch": 0.24457142857142858, + "grad_norm": 0.03149150311946869, + "kl": 0.00019598007202148438, + "learning_rate": 7.387534371007797e-07, + "loss": 0.0, + "reward": 0.46870883740484715, + "reward_std": 0.7327337116003036, + "rewards/cosine_scaled_reward": -0.06772891082800925, + "rewards/format_reward": 0.6041666809469461, + "step": 214 + }, + { + "completion_length": 1979.6250610351562, + "epoch": 0.24571428571428572, + "grad_norm": 0.03919277340173721, + "kl": 0.00014135241508483887, + "learning_rate": 7.358969934210438e-07, + "loss": 0.0, + "reward": 0.5261248834431171, + "reward_std": 0.8126789703965187, + "rewards/cosine_scaled_reward": -0.09110424015671015, + "rewards/format_reward": 0.7083333469927311, + "step": 215 + }, + { + "completion_length": 1884.812515258789, + "epoch": 0.24685714285714286, + "grad_norm": 0.0325796902179718, + "kl": 0.0001468956470489502, + "learning_rate": 7.330314893841101e-07, + "loss": 0.0, + "reward": 0.7279386296868324, + "reward_std": 0.569173252210021, + "rewards/cosine_scaled_reward": 0.030635960400104523, + "rewards/format_reward": 0.6666666716337204, + "step": 216 + }, + { + "completion_length": 2459.5833435058594, + "epoch": 0.248, + "grad_norm": 0.025857582688331604, + "kl": 0.00016328692436218262, + "learning_rate": 7.301570646506027e-07, + "loss": 0.0, + "reward": 0.7756138246040791, + "reward_std": 0.9014986008405685, + "rewards/cosine_scaled_reward": 0.09614021610468626, + "rewards/format_reward": 0.583333333954215, + "step": 217 + }, + { + "completion_length": 2637.5208740234375, + "epoch": 0.24914285714285714, + "grad_norm": 0.02500126138329506, + "kl": 0.00015026330947875977, + "learning_rate": 7.27273859315928e-07, + "loss": 0.0, + "reward": 0.6237838268280029, + "reward_std": 0.6200420390814543, + "rewards/cosine_scaled_reward": 0.07230857852846384, + "rewards/format_reward": 0.47916667722165585, + "step": 218 + }, + { + "completion_length": 2157.6666870117188, + "epoch": 0.2502857142857143, + "grad_norm": 0.02829655073583126, + "kl": 0.00017982721328735352, + "learning_rate": 7.243820139034464e-07, + "loss": 0.0, + "reward": 1.0598554275929928, + "reward_std": 0.7442222200334072, + "rewards/cosine_scaled_reward": 0.1757610123604536, + "rewards/format_reward": 0.7083333395421505, + "step": 219 + }, + { + "completion_length": 2727.3541946411133, + "epoch": 0.25142857142857145, + "grad_norm": 0.0359327532351017, + "kl": 0.00015404075384140015, + "learning_rate": 7.214816693576234e-07, + "loss": 0.0, + "reward": -0.1477277409285307, + "reward_std": 0.410174666903913, + "rewards/cosine_scaled_reward": -0.2509472072124481, + "rewards/format_reward": 0.35416667722165585, + "step": 220 + }, + { + "completion_length": 1798.3125038146973, + "epoch": 0.25257142857142856, + "grad_norm": 0.02666349895298481, + "kl": 0.00010177493095397949, + "learning_rate": 7.185729670371604e-07, + "loss": 0.0, + "reward": 0.9729608483612537, + "reward_std": 0.3803430050611496, + "rewards/cosine_scaled_reward": 0.13231376186013222, + "rewards/format_reward": 0.7083333358168602, + "step": 221 + }, + { + "completion_length": 1928.5000228881836, + "epoch": 0.2537142857142857, + "grad_norm": 0.02487647347152233, + "kl": 0.00014640390872955322, + "learning_rate": 7.156560487081051e-07, + "loss": 0.0, + "reward": 1.0013896897435188, + "reward_std": 0.6300395149737597, + "rewards/cosine_scaled_reward": 0.14652817510068417, + "rewards/format_reward": 0.708333333954215, + "step": 222 + }, + { + "completion_length": 1702.7708435058594, + "epoch": 0.25485714285714284, + "grad_norm": 0.02845071442425251, + "kl": 0.00010716915130615234, + "learning_rate": 7.127310565369415e-07, + "loss": 0.0, + "reward": 0.9212910756468773, + "reward_std": 0.6102632470428944, + "rewards/cosine_scaled_reward": 0.08564550150185823, + "rewards/format_reward": 0.75, + "step": 223 + }, + { + "completion_length": 2827.3959045410156, + "epoch": 0.256, + "grad_norm": 0.021246662363409996, + "kl": 0.00013241171836853027, + "learning_rate": 7.097981330836616e-07, + "loss": 0.0, + "reward": 0.6548797897994518, + "reward_std": 0.7224124409258366, + "rewards/cosine_scaled_reward": 0.06702320463955402, + "rewards/format_reward": 0.5208333358168602, + "step": 224 + }, + { + "completion_length": 2509.5625228881836, + "epoch": 0.2571428571428571, + "grad_norm": 0.027184953913092613, + "kl": 0.00013971328735351562, + "learning_rate": 7.068574212948169e-07, + "loss": 0.0, + "reward": 0.44291812740266323, + "reward_std": 0.8240737412124872, + "rewards/cosine_scaled_reward": -0.028540948405861855, + "rewards/format_reward": 0.5000000074505806, + "step": 225 + }, + { + "completion_length": 2216.375011444092, + "epoch": 0.2582857142857143, + "grad_norm": 0.026975193992257118, + "kl": 0.00015223026275634766, + "learning_rate": 7.039090644965509e-07, + "loss": 0.0, + "reward": 0.8716886155307293, + "reward_std": 0.5759567692875862, + "rewards/cosine_scaled_reward": 0.15459428541362286, + "rewards/format_reward": 0.5625000074505806, + "step": 226 + }, + { + "completion_length": 1686.8958702087402, + "epoch": 0.25942857142857145, + "grad_norm": 0.03848085552453995, + "kl": 0.00011584162712097168, + "learning_rate": 7.009532063876148e-07, + "loss": 0.0, + "reward": 1.1075771823525429, + "reward_std": 0.913255337625742, + "rewards/cosine_scaled_reward": 0.1475385595113039, + "rewards/format_reward": 0.8125000149011612, + "step": 227 + }, + { + "completion_length": 1939.8958435058594, + "epoch": 0.26057142857142856, + "grad_norm": 0.03354226425290108, + "kl": 0.00010298937559127808, + "learning_rate": 6.979899910323624e-07, + "loss": 0.0, + "reward": 0.8404038224834949, + "reward_std": 0.31906691938638687, + "rewards/cosine_scaled_reward": 0.13895191438496113, + "rewards/format_reward": 0.5625, + "step": 228 + }, + { + "completion_length": 3084.041717529297, + "epoch": 0.26171428571428573, + "grad_norm": 0.02156384289264679, + "kl": 0.00019919872283935547, + "learning_rate": 6.950195628537299e-07, + "loss": 0.0, + "reward": 0.2632536366581917, + "reward_std": 0.7106823846697807, + "rewards/cosine_scaled_reward": -0.02462319377809763, + "rewards/format_reward": 0.3125000037252903, + "step": 229 + }, + { + "completion_length": 2789.5208892822266, + "epoch": 0.26285714285714284, + "grad_norm": 0.022447209805250168, + "kl": 0.0001659989356994629, + "learning_rate": 6.920420666261961e-07, + "loss": 0.0, + "reward": 0.6103229657746851, + "reward_std": 0.9964038021862507, + "rewards/cosine_scaled_reward": 0.034328147768974304, + "rewards/format_reward": 0.5416666734963655, + "step": 230 + }, + { + "completion_length": 2335.125030517578, + "epoch": 0.264, + "grad_norm": 0.02745773270726204, + "kl": 0.00013434886932373047, + "learning_rate": 6.890576474687263e-07, + "loss": 0.0, + "reward": 0.8026296477764845, + "reward_std": 0.6375624313950539, + "rewards/cosine_scaled_reward": 0.08881480386480689, + "rewards/format_reward": 0.6250000018626451, + "step": 231 + }, + { + "completion_length": 2833.791763305664, + "epoch": 0.2651428571428571, + "grad_norm": 0.02423485741019249, + "kl": 0.00019976496696472168, + "learning_rate": 6.860664508377001e-07, + "loss": 0.0, + "reward": 0.7053144201636314, + "reward_std": 0.9186714664101601, + "rewards/cosine_scaled_reward": 0.08182389056310058, + "rewards/format_reward": 0.5416666679084301, + "step": 232 + }, + { + "completion_length": 1837.6666946411133, + "epoch": 0.2662857142857143, + "grad_norm": 0.03410692512989044, + "kl": 0.0001348555088043213, + "learning_rate": 6.83068622519821e-07, + "loss": 0.0, + "reward": 1.0225979089736938, + "reward_std": 1.1002402231097221, + "rewards/cosine_scaled_reward": 0.15713229309767485, + "rewards/format_reward": 0.7083333414047956, + "step": 233 + }, + { + "completion_length": 2508.9791889190674, + "epoch": 0.2674285714285714, + "grad_norm": 0.03137635439634323, + "kl": 0.0001417398452758789, + "learning_rate": 6.800643086250121e-07, + "loss": 0.0, + "reward": 0.4594912249594927, + "reward_std": 0.34390021953731775, + "rewards/cosine_scaled_reward": -0.009837735444307327, + "rewards/format_reward": 0.4791666716337204, + "step": 234 + }, + { + "completion_length": 2293.812526702881, + "epoch": 0.26857142857142857, + "grad_norm": 0.03317144513130188, + "kl": 0.00013634003698825836, + "learning_rate": 6.770536555792944e-07, + "loss": 0.0, + "reward": 0.8775238930247724, + "reward_std": 0.8305205693468451, + "rewards/cosine_scaled_reward": 0.15751194162294269, + "rewards/format_reward": 0.5625000074505806, + "step": 235 + }, + { + "completion_length": 2535.791702270508, + "epoch": 0.26971428571428574, + "grad_norm": 0.022067207843065262, + "kl": 0.0001373887062072754, + "learning_rate": 6.740368101176495e-07, + "loss": 0.0, + "reward": 1.103066761046648, + "reward_std": 0.9327066205441952, + "rewards/cosine_scaled_reward": 0.23903337866067886, + "rewards/format_reward": 0.6250000111758709, + "step": 236 + }, + { + "completion_length": 2465.583335876465, + "epoch": 0.27085714285714285, + "grad_norm": 0.023853298276662827, + "kl": 0.00014454126358032227, + "learning_rate": 6.710139192768694e-07, + "loss": 0.0, + "reward": 0.7351281112059951, + "reward_std": 0.7459862437099218, + "rewards/cosine_scaled_reward": 0.12798071585712023, + "rewards/format_reward": 0.47916667349636555, + "step": 237 + }, + { + "completion_length": 2457.104217529297, + "epoch": 0.272, + "grad_norm": 0.022526247426867485, + "kl": 0.0001602470874786377, + "learning_rate": 6.679851303883891e-07, + "loss": 0.0, + "reward": 1.184366210596636, + "reward_std": 0.9232276640832424, + "rewards/cosine_scaled_reward": 0.2171830991283059, + "rewards/format_reward": 0.7500000111758709, + "step": 238 + }, + { + "completion_length": 1609.354206085205, + "epoch": 0.27314285714285713, + "grad_norm": 0.03424397110939026, + "kl": 8.738785982131958e-05, + "learning_rate": 6.649505910711058e-07, + "loss": 0.0, + "reward": 1.3734241500496864, + "reward_std": 0.5677254348993301, + "rewards/cosine_scaled_reward": 0.30129539873450994, + "rewards/format_reward": 0.7708333395421505, + "step": 239 + }, + { + "completion_length": 2939.1458740234375, + "epoch": 0.2742857142857143, + "grad_norm": 0.028905417770147324, + "kl": 0.00021439790725708008, + "learning_rate": 6.619104492241847e-07, + "loss": 0.0, + "reward": -0.0536014367826283, + "reward_std": 0.5374163910746574, + "rewards/cosine_scaled_reward": -0.21430072654038668, + "rewards/format_reward": 0.37500000558793545, + "step": 240 + }, + { + "completion_length": 2732.6250228881836, + "epoch": 0.2754285714285714, + "grad_norm": 0.02268056571483612, + "kl": 0.00020313262939453125, + "learning_rate": 6.588648530198504e-07, + "loss": 0.0, + "reward": 0.2373307328671217, + "reward_std": 0.628166763111949, + "rewards/cosine_scaled_reward": -0.13133463938720524, + "rewards/format_reward": 0.5000000093132257, + "step": 241 + }, + { + "completion_length": 1986.0000228881836, + "epoch": 0.2765714285714286, + "grad_norm": 0.03629198670387268, + "kl": 0.00025428086519241333, + "learning_rate": 6.558139508961654e-07, + "loss": 0.0, + "reward": 0.5092753138160333, + "reward_std": 0.674851905554533, + "rewards/cosine_scaled_reward": -0.047445693984627724, + "rewards/format_reward": 0.6041666828095913, + "step": 242 + }, + { + "completion_length": 2734.229217529297, + "epoch": 0.2777142857142857, + "grad_norm": 0.021753275766968727, + "kl": 0.00011421740055084229, + "learning_rate": 6.527578915497951e-07, + "loss": 0.0, + "reward": 0.9028994496911764, + "reward_std": 1.0264187045395374, + "rewards/cosine_scaled_reward": 0.2014497071504593, + "rewards/format_reward": 0.5000000111758709, + "step": 243 + }, + { + "completion_length": 2789.687545776367, + "epoch": 0.27885714285714286, + "grad_norm": 0.02406812459230423, + "kl": 0.00016814470291137695, + "learning_rate": 6.496968239287603e-07, + "loss": 0.0, + "reward": 0.5570749193429947, + "reward_std": 1.1161103919148445, + "rewards/cosine_scaled_reward": 0.05978744977619499, + "rewards/format_reward": 0.43750000931322575, + "step": 244 + }, + { + "completion_length": 2515.312568664551, + "epoch": 0.28, + "grad_norm": 0.029088586568832397, + "kl": 0.0001869797706604004, + "learning_rate": 6.466308972251785e-07, + "loss": 0.0, + "reward": 1.0382240321487188, + "reward_std": 1.1980111673474312, + "rewards/cosine_scaled_reward": 0.18577865794941317, + "rewards/format_reward": 0.6666666772216558, + "step": 245 + }, + { + "completion_length": 2277.875045776367, + "epoch": 0.28114285714285714, + "grad_norm": 0.02349865809082985, + "kl": 0.00016105175018310547, + "learning_rate": 6.435602608679916e-07, + "loss": 0.0, + "reward": 0.9948470462113619, + "reward_std": 0.784628352150321, + "rewards/cosine_scaled_reward": 0.13284017331898212, + "rewards/format_reward": 0.7291666679084301, + "step": 246 + }, + { + "completion_length": 2917.416717529297, + "epoch": 0.2822857142857143, + "grad_norm": 0.019329527392983437, + "kl": 0.0001506805419921875, + "learning_rate": 6.404850645156841e-07, + "loss": 0.0, + "reward": 0.3844575481489301, + "reward_std": 0.7838251367211342, + "rewards/cosine_scaled_reward": -0.005687899887561798, + "rewards/format_reward": 0.3958333432674408, + "step": 247 + }, + { + "completion_length": 1923.4375381469727, + "epoch": 0.2834285714285714, + "grad_norm": 0.034683942794799805, + "kl": 0.0001239478588104248, + "learning_rate": 6.374054580489873e-07, + "loss": 0.0, + "reward": 1.2442171084694564, + "reward_std": 0.8035479206591845, + "rewards/cosine_scaled_reward": 0.2887751990929246, + "rewards/format_reward": 0.6666666697710752, + "step": 248 + }, + { + "completion_length": 1708.2916946411133, + "epoch": 0.2845714285714286, + "grad_norm": 0.03058278001844883, + "kl": 0.00011420249938964844, + "learning_rate": 6.343215915635761e-07, + "loss": 0.0, + "reward": 0.7377499938011169, + "reward_std": 0.5643534660339355, + "rewards/cosine_scaled_reward": 0.02512497268617153, + "rewards/format_reward": 0.6875, + "step": 249 + }, + { + "completion_length": 2321.4167137145996, + "epoch": 0.2857142857142857, + "grad_norm": 0.02951645292341709, + "kl": 0.00019127130508422852, + "learning_rate": 6.31233615362752e-07, + "loss": 0.0, + "reward": 0.5674178429762833, + "reward_std": 0.8846789188683033, + "rewards/cosine_scaled_reward": -0.04962442675605416, + "rewards/format_reward": 0.6666666772216558, + "step": 250 + }, + { + "completion_length": 1895.1875228881836, + "epoch": 0.28685714285714287, + "grad_norm": 0.02950862981379032, + "kl": 0.0001430809497833252, + "learning_rate": 6.281416799501187e-07, + "loss": 0.0, + "reward": 1.1478381529450417, + "reward_std": 0.9535709973424673, + "rewards/cosine_scaled_reward": 0.17808573693037033, + "rewards/format_reward": 0.7916666772216558, + "step": 251 + }, + { + "completion_length": 2560.3125534057617, + "epoch": 0.288, + "grad_norm": 0.026902787387371063, + "kl": 0.00019630789756774902, + "learning_rate": 6.25045936022246e-07, + "loss": 0.0, + "reward": 0.29892047587782145, + "reward_std": 0.697446895763278, + "rewards/cosine_scaled_reward": -0.09012311231344938, + "rewards/format_reward": 0.47916667349636555, + "step": 252 + }, + { + "completion_length": 2656.145854949951, + "epoch": 0.28914285714285715, + "grad_norm": 0.03214016929268837, + "kl": 0.00017839670181274414, + "learning_rate": 6.219465344613258e-07, + "loss": 0.0, + "reward": 0.3197309598326683, + "reward_std": 0.8267754539847374, + "rewards/cosine_scaled_reward": -0.11096786396956304, + "rewards/format_reward": 0.5416666716337204, + "step": 253 + }, + { + "completion_length": 2232.6666984558105, + "epoch": 0.29028571428571426, + "grad_norm": 0.03257149085402489, + "kl": 0.00014886260032653809, + "learning_rate": 6.188436263278172e-07, + "loss": 0.0, + "reward": 0.8183548748493195, + "reward_std": 0.742323987185955, + "rewards/cosine_scaled_reward": 0.09667741693556309, + "rewards/format_reward": 0.6250000037252903, + "step": 254 + }, + { + "completion_length": 3091.645854949951, + "epoch": 0.2914285714285714, + "grad_norm": 0.02308414690196514, + "kl": 0.00019991397857666016, + "learning_rate": 6.157373628530852e-07, + "loss": 0.0, + "reward": 0.48197503201663494, + "reward_std": 1.0647086016833782, + "rewards/cosine_scaled_reward": 0.03265417801867443, + "rewards/format_reward": 0.41666666977107525, + "step": 255 + }, + { + "completion_length": 2500.2917404174805, + "epoch": 0.2925714285714286, + "grad_norm": 0.025716979056596756, + "kl": 0.0002094060182571411, + "learning_rate": 6.126278954320294e-07, + "loss": 0.0, + "reward": 0.6078239146154374, + "reward_std": 0.9901378192007542, + "rewards/cosine_scaled_reward": 0.01224527694284916, + "rewards/format_reward": 0.5833333469927311, + "step": 256 + }, + { + "completion_length": 2928.791702270508, + "epoch": 0.2937142857142857, + "grad_norm": 0.020812608301639557, + "kl": 0.00019612908363342285, + "learning_rate": 6.095153756157051e-07, + "loss": 0.0, + "reward": 1.0758514516055584, + "reward_std": 0.8948536142706871, + "rewards/cosine_scaled_reward": 0.26709236670285463, + "rewards/format_reward": 0.5416666772216558, + "step": 257 + }, + { + "completion_length": 3086.6875915527344, + "epoch": 0.2948571428571429, + "grad_norm": 0.022219646722078323, + "kl": 0.0002516508102416992, + "learning_rate": 6.06399955103937e-07, + "loss": 0.0, + "reward": 0.5924380738288164, + "reward_std": 0.8064648397266865, + "rewards/cosine_scaled_reward": 0.035802360624074936, + "rewards/format_reward": 0.5208333414047956, + "step": 258 + }, + { + "completion_length": 2551.250026702881, + "epoch": 0.296, + "grad_norm": 0.03364958614110947, + "kl": 0.00019508600234985352, + "learning_rate": 6.032817857379256e-07, + "loss": 0.0, + "reward": 0.6504997052252293, + "reward_std": 0.7922412864863873, + "rewards/cosine_scaled_reward": 0.07524984562769532, + "rewards/format_reward": 0.5000000093132257, + "step": 259 + }, + { + "completion_length": 1881.8541831970215, + "epoch": 0.29714285714285715, + "grad_norm": 0.03499652445316315, + "kl": 0.00013124942779541016, + "learning_rate": 6.001610194928464e-07, + "loss": 0.0, + "reward": 1.0665137059986591, + "reward_std": 0.5399355934932828, + "rewards/cosine_scaled_reward": 0.231173490639776, + "rewards/format_reward": 0.6041666697710752, + "step": 260 + }, + { + "completion_length": 2637.4166870117188, + "epoch": 0.29828571428571427, + "grad_norm": 0.025031670928001404, + "kl": 0.00015434622764587402, + "learning_rate": 5.97037808470444e-07, + "loss": 0.0, + "reward": 0.3631602041423321, + "reward_std": 0.6417339015752077, + "rewards/cosine_scaled_reward": -0.047586577478796244, + "rewards/format_reward": 0.4583333358168602, + "step": 261 + }, + { + "completion_length": 3057.458366394043, + "epoch": 0.29942857142857143, + "grad_norm": 0.022654270753264427, + "kl": 0.00020933151245117188, + "learning_rate": 5.939123048916173e-07, + "loss": 0.0, + "reward": 0.11393738351762295, + "reward_std": 0.7356228828430176, + "rewards/cosine_scaled_reward": -0.10969797242432833, + "rewards/format_reward": 0.3333333395421505, + "step": 262 + }, + { + "completion_length": 2784.5000228881836, + "epoch": 0.30057142857142854, + "grad_norm": 0.027890196070075035, + "kl": 0.00014328956604003906, + "learning_rate": 5.907846610890011e-07, + "loss": 0.0, + "reward": 0.5555706415325403, + "reward_std": 0.6993023809045553, + "rewards/cosine_scaled_reward": 0.05903530679643154, + "rewards/format_reward": 0.4375000037252903, + "step": 263 + }, + { + "completion_length": 2711.916702270508, + "epoch": 0.3017142857142857, + "grad_norm": 0.026740290224552155, + "kl": 0.0001666545867919922, + "learning_rate": 5.87655029499542e-07, + "loss": 0.0, + "reward": 0.5835818080231547, + "reward_std": 0.9015247318893671, + "rewards/cosine_scaled_reward": 0.010540907853282988, + "rewards/format_reward": 0.5625000093132257, + "step": 264 + }, + { + "completion_length": 1977.6875305175781, + "epoch": 0.3028571428571429, + "grad_norm": 0.03000440075993538, + "kl": 0.00016647577285766602, + "learning_rate": 5.845235626570683e-07, + "loss": 0.0, + "reward": 1.0214002854190767, + "reward_std": 0.7950426787137985, + "rewards/cosine_scaled_reward": 0.16695012245327234, + "rewards/format_reward": 0.6875000018626451, + "step": 265 + }, + { + "completion_length": 3163.958354949951, + "epoch": 0.304, + "grad_norm": 0.01840229332447052, + "kl": 0.00019887089729309082, + "learning_rate": 5.813904131848564e-07, + "loss": 0.0, + "reward": -0.22563371248543262, + "reward_std": 0.4246583506464958, + "rewards/cosine_scaled_reward": -0.21698353067040443, + "rewards/format_reward": 0.2083333358168602, + "step": 266 + }, + { + "completion_length": 2904.750045776367, + "epoch": 0.30514285714285716, + "grad_norm": 0.024483945220708847, + "kl": 0.0001894235610961914, + "learning_rate": 5.78255733788191e-07, + "loss": 0.0, + "reward": 0.3056447245180607, + "reward_std": 0.7651229426264763, + "rewards/cosine_scaled_reward": -0.024260970763862133, + "rewards/format_reward": 0.3541666753590107, + "step": 267 + }, + { + "completion_length": 2707.229202270508, + "epoch": 0.3062857142857143, + "grad_norm": 0.033471375703811646, + "kl": 0.0002181529998779297, + "learning_rate": 5.751196772469237e-07, + "loss": 0.0, + "reward": 0.31767203425988555, + "reward_std": 1.0267981998622417, + "rewards/cosine_scaled_reward": -0.07033066404983401, + "rewards/format_reward": 0.4583333469927311, + "step": 268 + }, + { + "completion_length": 2601.145881652832, + "epoch": 0.30742857142857144, + "grad_norm": 0.023748284205794334, + "kl": 0.00017061829566955566, + "learning_rate": 5.71982396408026e-07, + "loss": 0.0, + "reward": 1.1178178992122412, + "reward_std": 0.6580545753240585, + "rewards/cosine_scaled_reward": 0.2568256063386798, + "rewards/format_reward": 0.6041666697710752, + "step": 269 + }, + { + "completion_length": 2286.145851135254, + "epoch": 0.30857142857142855, + "grad_norm": 0.026643814519047737, + "kl": 0.00014588236808776855, + "learning_rate": 5.688440441781398e-07, + "loss": 0.0, + "reward": 1.167864153161645, + "reward_std": 0.851657796651125, + "rewards/cosine_scaled_reward": 0.21934875007718801, + "rewards/format_reward": 0.7291666809469461, + "step": 270 + }, + { + "completion_length": 1784.645866394043, + "epoch": 0.3097142857142857, + "grad_norm": 0.030084380879998207, + "kl": 0.00011153519153594971, + "learning_rate": 5.657047735161255e-07, + "loss": 0.0, + "reward": 1.4007908403873444, + "reward_std": 0.4155320357531309, + "rewards/cosine_scaled_reward": 0.29414540342986584, + "rewards/format_reward": 0.8125, + "step": 271 + }, + { + "completion_length": 2623.0208587646484, + "epoch": 0.31085714285714283, + "grad_norm": 0.02625565230846405, + "kl": 0.00020056962966918945, + "learning_rate": 5.625647374256061e-07, + "loss": 0.0, + "reward": 0.664887816645205, + "reward_std": 1.0364688262343407, + "rewards/cosine_scaled_reward": 0.09286056295968592, + "rewards/format_reward": 0.47916666977107525, + "step": 272 + }, + { + "completion_length": 2523.1875534057617, + "epoch": 0.312, + "grad_norm": 0.02682247757911682, + "kl": 0.00015234388411045074, + "learning_rate": 5.594240889475106e-07, + "loss": 0.0, + "reward": 0.8108466335106641, + "reward_std": 0.6180602237582207, + "rewards/cosine_scaled_reward": 0.1762566501274705, + "rewards/format_reward": 0.45833334140479565, + "step": 273 + }, + { + "completion_length": 1638.1875190734863, + "epoch": 0.31314285714285717, + "grad_norm": 0.035664211958646774, + "kl": 0.0001033395528793335, + "learning_rate": 5.562829811526154e-07, + "loss": 0.0, + "reward": 1.2543680891394615, + "reward_std": 0.6733489837497473, + "rewards/cosine_scaled_reward": 0.21051735104992986, + "rewards/format_reward": 0.8333333432674408, + "step": 274 + }, + { + "completion_length": 2227.7500381469727, + "epoch": 0.3142857142857143, + "grad_norm": 0.024416198953986168, + "kl": 0.00014771521091461182, + "learning_rate": 5.531415671340826e-07, + "loss": 0.0, + "reward": 1.0997284352779388, + "reward_std": 0.6753085609525442, + "rewards/cosine_scaled_reward": 0.21653086133301258, + "rewards/format_reward": 0.6666666697710752, + "step": 275 + }, + { + "completion_length": 2410.375045776367, + "epoch": 0.31542857142857145, + "grad_norm": 0.03159765899181366, + "kl": 0.00018554925918579102, + "learning_rate": 5.5e-07, + "loss": 0.0, + "reward": 1.0730885528028011, + "reward_std": 0.8632807899266481, + "rewards/cosine_scaled_reward": 0.24487759917974472, + "rewards/format_reward": 0.583333333954215, + "step": 276 + }, + { + "completion_length": 2498.7708587646484, + "epoch": 0.31657142857142856, + "grad_norm": 0.024099338799715042, + "kl": 0.00020748376846313477, + "learning_rate": 5.468584328659172e-07, + "loss": 0.0, + "reward": 0.6968964114785194, + "reward_std": 0.8357117287814617, + "rewards/cosine_scaled_reward": 0.09844818594865501, + "rewards/format_reward": 0.5000000037252903, + "step": 277 + }, + { + "completion_length": 2121.0209426879883, + "epoch": 0.3177142857142857, + "grad_norm": 0.032011423259973526, + "kl": 0.00018835067749023438, + "learning_rate": 5.437170188473847e-07, + "loss": 0.0, + "reward": 1.1160824708640575, + "reward_std": 0.7977323867380619, + "rewards/cosine_scaled_reward": 0.17262454610317945, + "rewards/format_reward": 0.770833345130086, + "step": 278 + }, + { + "completion_length": 3179.7708435058594, + "epoch": 0.31885714285714284, + "grad_norm": 0.022884871810674667, + "kl": 0.0002695918083190918, + "learning_rate": 5.405759110524894e-07, + "loss": 0.0, + "reward": 0.020895134657621384, + "reward_std": 0.8185425326228142, + "rewards/cosine_scaled_reward": -0.09371909964829683, + "rewards/format_reward": 0.2083333358168602, + "step": 279 + }, + { + "completion_length": 2095.4583778381348, + "epoch": 0.32, + "grad_norm": 0.03684168681502342, + "kl": 0.0001882314682006836, + "learning_rate": 5.37435262574394e-07, + "loss": 0.0, + "reward": 0.6300602070987225, + "reward_std": 0.8308645784854889, + "rewards/cosine_scaled_reward": -0.007886571809649467, + "rewards/format_reward": 0.6458333395421505, + "step": 280 + }, + { + "completion_length": 3198.8958587646484, + "epoch": 0.3211428571428571, + "grad_norm": 0.021219369024038315, + "kl": 0.00019353628158569336, + "learning_rate": 5.342952264838747e-07, + "loss": 0.0, + "reward": -0.09903884382219985, + "reward_std": 0.7667136080563068, + "rewards/cosine_scaled_reward": -0.20576944231288508, + "rewards/format_reward": 0.31250000186264515, + "step": 281 + }, + { + "completion_length": 2406.458366394043, + "epoch": 0.3222857142857143, + "grad_norm": 0.02495969459414482, + "kl": 0.00018447637557983398, + "learning_rate": 5.311559558218603e-07, + "loss": 0.0, + "reward": 0.7009545154869556, + "reward_std": 0.7124308422207832, + "rewards/cosine_scaled_reward": 0.10047726146876812, + "rewards/format_reward": 0.5000000055879354, + "step": 282 + }, + { + "completion_length": 2349.270896911621, + "epoch": 0.32342857142857145, + "grad_norm": 0.025876298546791077, + "kl": 0.00015360116958618164, + "learning_rate": 5.28017603591974e-07, + "loss": 0.0, + "reward": 1.3722519651055336, + "reward_std": 0.653431911021471, + "rewards/cosine_scaled_reward": 0.34237595461308956, + "rewards/format_reward": 0.687500013038516, + "step": 283 + }, + { + "completion_length": 2050.7708587646484, + "epoch": 0.32457142857142857, + "grad_norm": 0.03173566982150078, + "kl": 0.00013002753257751465, + "learning_rate": 5.248803227530763e-07, + "loss": 0.0, + "reward": 0.6497855484485626, + "reward_std": 0.8422477524727583, + "rewards/cosine_scaled_reward": 0.012392764445394278, + "rewards/format_reward": 0.6250000111758709, + "step": 284 + }, + { + "completion_length": 1926.0208435058594, + "epoch": 0.32571428571428573, + "grad_norm": 0.02867991477251053, + "kl": 0.00016066431999206543, + "learning_rate": 5.21744266211809e-07, + "loss": 0.0, + "reward": 0.4057514422456734, + "reward_std": 0.3730186829343438, + "rewards/cosine_scaled_reward": -0.13045761734247208, + "rewards/format_reward": 0.6666666716337204, + "step": 285 + }, + { + "completion_length": 2342.687530517578, + "epoch": 0.32685714285714285, + "grad_norm": 0.02181842550635338, + "kl": 0.00020366907119750977, + "learning_rate": 5.186095868151436e-07, + "loss": 0.0, + "reward": 0.7377639599144459, + "reward_std": 0.7825022768229246, + "rewards/cosine_scaled_reward": 0.07721533998847008, + "rewards/format_reward": 0.5833333488553762, + "step": 286 + }, + { + "completion_length": 1700.1250076293945, + "epoch": 0.328, + "grad_norm": 0.03624531999230385, + "kl": 0.00015243887901306152, + "learning_rate": 5.154764373429315e-07, + "loss": 0.0, + "reward": 0.8391638435423374, + "reward_std": 0.34983737021684647, + "rewards/cosine_scaled_reward": 0.11749858036637306, + "rewards/format_reward": 0.6041666716337204, + "step": 287 + }, + { + "completion_length": 2821.4167098999023, + "epoch": 0.3291428571428571, + "grad_norm": 0.021799219772219658, + "kl": 0.0002630949020385742, + "learning_rate": 5.123449705004581e-07, + "loss": 0.0, + "reward": 0.45475615188479424, + "reward_std": 0.5843030996620655, + "rewards/cosine_scaled_reward": 0.01904474012553692, + "rewards/format_reward": 0.41666667349636555, + "step": 288 + }, + { + "completion_length": 2083.333351135254, + "epoch": 0.3302857142857143, + "grad_norm": 0.03328165039420128, + "kl": 0.00016808509826660156, + "learning_rate": 5.09215338910999e-07, + "loss": 0.0, + "reward": 0.7187244035303593, + "reward_std": 0.586519805714488, + "rewards/cosine_scaled_reward": 0.0676955422386527, + "rewards/format_reward": 0.5833333414047956, + "step": 289 + }, + { + "completion_length": 1441.3333778381348, + "epoch": 0.3314285714285714, + "grad_norm": 0.041413385421037674, + "kl": 0.0001710951328277588, + "learning_rate": 5.060876951083828e-07, + "loss": 0.0, + "reward": 1.352583286818117, + "reward_std": 0.8790040239691734, + "rewards/cosine_scaled_reward": 0.21795828046742827, + "rewards/format_reward": 0.9166666716337204, + "step": 290 + }, + { + "completion_length": 2162.9167098999023, + "epoch": 0.3325714285714286, + "grad_norm": 0.034360699355602264, + "kl": 0.00018029659986495972, + "learning_rate": 5.02962191529556e-07, + "loss": 0.0, + "reward": 1.1365532241761684, + "reward_std": 0.8855068720877171, + "rewards/cosine_scaled_reward": 0.22452658973634243, + "rewards/format_reward": 0.6875000055879354, + "step": 291 + }, + { + "completion_length": 2644.9583587646484, + "epoch": 0.33371428571428574, + "grad_norm": 0.036109767854213715, + "kl": 0.0002117753028869629, + "learning_rate": 4.998389805071536e-07, + "loss": 0.0, + "reward": 0.4815543070435524, + "reward_std": 0.9521236941218376, + "rewards/cosine_scaled_reward": -0.01963951502693817, + "rewards/format_reward": 0.5208333488553762, + "step": 292 + }, + { + "completion_length": 2065.250030517578, + "epoch": 0.33485714285714285, + "grad_norm": 0.02345646359026432, + "kl": 0.00020043551921844482, + "learning_rate": 4.967182142620745e-07, + "loss": 0.0, + "reward": 0.7920062579214573, + "reward_std": 0.5047565586864948, + "rewards/cosine_scaled_reward": 0.06266978848725557, + "rewards/format_reward": 0.6666666716337204, + "step": 293 + }, + { + "completion_length": 3125.937545776367, + "epoch": 0.336, + "grad_norm": 0.021944746375083923, + "kl": 0.00028936564922332764, + "learning_rate": 4.93600044896063e-07, + "loss": 0.0, + "reward": 0.09450298827141523, + "reward_std": 0.7673522084951401, + "rewards/cosine_scaled_reward": -0.11941516539081931, + "rewards/format_reward": 0.33333334140479565, + "step": 294 + }, + { + "completion_length": 2895.0416870117188, + "epoch": 0.33714285714285713, + "grad_norm": 0.02375158853828907, + "kl": 0.00023639202117919922, + "learning_rate": 4.904846243842949e-07, + "loss": 0.0, + "reward": 0.26469022780656815, + "reward_std": 0.7072394695132971, + "rewards/cosine_scaled_reward": -0.03432156052440405, + "rewards/format_reward": 0.3333333358168602, + "step": 295 + }, + { + "completion_length": 2651.1250610351562, + "epoch": 0.3382857142857143, + "grad_norm": 0.035691626369953156, + "kl": 0.00022995471954345703, + "learning_rate": 4.873721045679706e-07, + "loss": 0.0, + "reward": 0.3209421820938587, + "reward_std": 0.5486197881400585, + "rewards/cosine_scaled_reward": -0.08952891454100609, + "rewards/format_reward": 0.5000000055879354, + "step": 296 + }, + { + "completion_length": 3260.8958740234375, + "epoch": 0.3394285714285714, + "grad_norm": 0.01949848048388958, + "kl": 0.0002536773681640625, + "learning_rate": 4.842626371469149e-07, + "loss": 0.0, + "reward": 0.2345700664445758, + "reward_std": 0.6523050926625729, + "rewards/cosine_scaled_reward": -0.0077149709686636925, + "rewards/format_reward": 0.2500000037252903, + "step": 297 + }, + { + "completion_length": 2739.8333740234375, + "epoch": 0.3405714285714286, + "grad_norm": 0.02277456782758236, + "kl": 0.0001857280731201172, + "learning_rate": 4.811563736721829e-07, + "loss": 0.0, + "reward": 0.43556486954912543, + "reward_std": 0.6449983278289437, + "rewards/cosine_scaled_reward": 0.009449097327888012, + "rewards/format_reward": 0.41666666977107525, + "step": 298 + }, + { + "completion_length": 2909.4791870117188, + "epoch": 0.3417142857142857, + "grad_norm": 0.019031217321753502, + "kl": 0.00021719932556152344, + "learning_rate": 4.780534655386743e-07, + "loss": 0.0, + "reward": 0.6691161692142487, + "reward_std": 0.7011800315231085, + "rewards/cosine_scaled_reward": 0.11580806598067284, + "rewards/format_reward": 0.4375000074505806, + "step": 299 + }, + { + "completion_length": 3504.541717529297, + "epoch": 0.34285714285714286, + "grad_norm": 0.02002292312681675, + "kl": 0.0002887248992919922, + "learning_rate": 4.749540639777539e-07, + "loss": 0.0, + "reward": -0.11457789549604058, + "reward_std": 0.6568729132413864, + "rewards/cosine_scaled_reward": -0.21353895403444767, + "rewards/format_reward": 0.31250000186264515, + "step": 300 + }, + { + "completion_length": 2172.7291870117188, + "epoch": 0.344, + "grad_norm": 0.029103700071573257, + "kl": 0.00020676851272583008, + "learning_rate": 4.7185832004988133e-07, + "loss": 0.0, + "reward": 0.6181785631924868, + "reward_std": 0.7141751162707806, + "rewards/cosine_scaled_reward": -0.045077390037477016, + "rewards/format_reward": 0.7083333469927311, + "step": 301 + }, + { + "completion_length": 2186.4792251586914, + "epoch": 0.34514285714285714, + "grad_norm": 0.03206675127148628, + "kl": 0.00018966197967529297, + "learning_rate": 4.68766384637248e-07, + "loss": 0.0, + "reward": 0.9613751322031021, + "reward_std": 0.7258251551538706, + "rewards/cosine_scaled_reward": 0.14735423121601343, + "rewards/format_reward": 0.666666679084301, + "step": 302 + }, + { + "completion_length": 2475.937545776367, + "epoch": 0.3462857142857143, + "grad_norm": 0.030688228085637093, + "kl": 0.00026735663414001465, + "learning_rate": 4.656784084364238e-07, + "loss": 0.0, + "reward": 0.7674907688051462, + "reward_std": 0.7924170382320881, + "rewards/cosine_scaled_reward": 0.11291203834116459, + "rewards/format_reward": 0.5416666734963655, + "step": 303 + }, + { + "completion_length": 2449.791717529297, + "epoch": 0.3474285714285714, + "grad_norm": 0.024618245661258698, + "kl": 0.00020569562911987305, + "learning_rate": 4.6259454195101267e-07, + "loss": 0.0, + "reward": 0.6075898297131062, + "reward_std": 0.6916676126420498, + "rewards/cosine_scaled_reward": 0.032961574383080006, + "rewards/format_reward": 0.5416666716337204, + "step": 304 + }, + { + "completion_length": 2968.2916870117188, + "epoch": 0.3485714285714286, + "grad_norm": 0.02341613359749317, + "kl": 0.00027740001678466797, + "learning_rate": 4.59514935484316e-07, + "loss": 0.0, + "reward": 0.38752281852066517, + "reward_std": 0.653439100831747, + "rewards/cosine_scaled_reward": -0.024988610297441483, + "rewards/format_reward": 0.43750001303851604, + "step": 305 + }, + { + "completion_length": 2223.770851135254, + "epoch": 0.3497142857142857, + "grad_norm": 0.03363551199436188, + "kl": 0.000197485089302063, + "learning_rate": 4.5643973913200837e-07, + "loss": 0.0, + "reward": 0.603302130009979, + "reward_std": 0.6513868616893888, + "rewards/cosine_scaled_reward": 0.009984390810132027, + "rewards/format_reward": 0.5833333358168602, + "step": 306 + }, + { + "completion_length": 2278.1250495910645, + "epoch": 0.35085714285714287, + "grad_norm": 0.02858709916472435, + "kl": 0.00022980570793151855, + "learning_rate": 4.5336910277482155e-07, + "loss": 0.0, + "reward": 0.6608727481216192, + "reward_std": 0.9192832596600056, + "rewards/cosine_scaled_reward": 0.05960302893072367, + "rewards/format_reward": 0.5416666734963655, + "step": 307 + }, + { + "completion_length": 3100.4583587646484, + "epoch": 0.352, + "grad_norm": 0.020364860072731972, + "kl": 0.0002155900001525879, + "learning_rate": 4.503031760712397e-07, + "loss": 0.0, + "reward": 0.0357023049145937, + "reward_std": 0.8593032034114003, + "rewards/cosine_scaled_reward": -0.10714884800836444, + "rewards/format_reward": 0.2500000037252903, + "step": 308 + }, + { + "completion_length": 2716.1666946411133, + "epoch": 0.35314285714285715, + "grad_norm": 0.021565675735473633, + "kl": 0.00018143653869628906, + "learning_rate": 4.4724210845020494e-07, + "loss": 0.0, + "reward": 0.9010052662342787, + "reward_std": 0.7911521699279547, + "rewards/cosine_scaled_reward": 0.19008595822378993, + "rewards/format_reward": 0.5208333395421505, + "step": 309 + }, + { + "completion_length": 2119.1667098999023, + "epoch": 0.35428571428571426, + "grad_norm": 0.03625396639108658, + "kl": 0.00021964311599731445, + "learning_rate": 4.441860491038345e-07, + "loss": 0.0, + "reward": 0.7360105197876692, + "reward_std": 0.6620105188339949, + "rewards/cosine_scaled_reward": 0.0555052665488347, + "rewards/format_reward": 0.6250000055879354, + "step": 310 + }, + { + "completion_length": 2410.833354949951, + "epoch": 0.3554285714285714, + "grad_norm": 0.02665293589234352, + "kl": 0.00021332502365112305, + "learning_rate": 4.4113514698014953e-07, + "loss": 0.0, + "reward": 0.9606177415698767, + "reward_std": 0.5332410894334316, + "rewards/cosine_scaled_reward": 0.20947551727294922, + "rewards/format_reward": 0.5416666734963655, + "step": 311 + }, + { + "completion_length": 2079.7500228881836, + "epoch": 0.3565714285714286, + "grad_norm": 0.039660558104515076, + "kl": 0.00025030970573425293, + "learning_rate": 4.3808955077581546e-07, + "loss": 0.0, + "reward": 0.9072759561240673, + "reward_std": 0.7400492213200778, + "rewards/cosine_scaled_reward": 0.18280465085990727, + "rewards/format_reward": 0.5416666734963655, + "step": 312 + }, + { + "completion_length": 2780.166778564453, + "epoch": 0.3577142857142857, + "grad_norm": 0.024134520441293716, + "kl": 0.0002815723419189453, + "learning_rate": 4.350494089288943e-07, + "loss": 0.0, + "reward": 0.7847088079433888, + "reward_std": 0.7853051656857133, + "rewards/cosine_scaled_reward": 0.15277107199653983, + "rewards/format_reward": 0.4791666753590107, + "step": 313 + }, + { + "completion_length": 2324.958354949951, + "epoch": 0.3588571428571429, + "grad_norm": 0.03832564502954483, + "kl": 0.00017490237951278687, + "learning_rate": 4.3201486961161093e-07, + "loss": 0.0, + "reward": 0.5692981313914061, + "reward_std": 0.5818128418177366, + "rewards/cosine_scaled_reward": 0.03464904520660639, + "rewards/format_reward": 0.5000000055879354, + "step": 314 + }, + { + "completion_length": 2754.1875534057617, + "epoch": 0.36, + "grad_norm": 0.02288965694606304, + "kl": 0.0002474188804626465, + "learning_rate": 4.2898608072313045e-07, + "loss": 0.0, + "reward": 0.4873616211116314, + "reward_std": 0.7167357690632343, + "rewards/cosine_scaled_reward": 0.03534747939556837, + "rewards/format_reward": 0.41666666977107525, + "step": 315 + }, + { + "completion_length": 3277.7291870117188, + "epoch": 0.36114285714285715, + "grad_norm": 0.021539807319641113, + "kl": 0.0003350973129272461, + "learning_rate": 4.2596318988235037e-07, + "loss": 0.0, + "reward": 0.06327132880687714, + "reward_std": 0.722619965672493, + "rewards/cosine_scaled_reward": -0.09336433373391628, + "rewards/format_reward": 0.25000000931322575, + "step": 316 + }, + { + "completion_length": 2702.958351135254, + "epoch": 0.36228571428571427, + "grad_norm": 0.02301914617419243, + "kl": 0.00023549795150756836, + "learning_rate": 4.2294634442070553e-07, + "loss": 0.0, + "reward": 0.5955107100307941, + "reward_std": 0.7853559423238039, + "rewards/cosine_scaled_reward": 0.06858869083225727, + "rewards/format_reward": 0.4583333395421505, + "step": 317 + }, + { + "completion_length": 1185.270866394043, + "epoch": 0.36342857142857143, + "grad_norm": 0.041411470621824265, + "kl": 0.00015148520469665527, + "learning_rate": 4.1993569137498776e-07, + "loss": 0.0, + "reward": 1.0035362336784601, + "reward_std": 0.6542131118476391, + "rewards/cosine_scaled_reward": 0.0642680861055851, + "rewards/format_reward": 0.8750000055879354, + "step": 318 + }, + { + "completion_length": 2636.291690826416, + "epoch": 0.36457142857142855, + "grad_norm": 0.027852993458509445, + "kl": 0.00036531686782836914, + "learning_rate": 4.1693137748017915e-07, + "loss": 0.0, + "reward": -0.07456635776907206, + "reward_std": 0.6103027909994125, + "rewards/cosine_scaled_reward": -0.23519985377788544, + "rewards/format_reward": 0.39583333767950535, + "step": 319 + }, + { + "completion_length": 1750.3958740234375, + "epoch": 0.3657142857142857, + "grad_norm": 0.040690820664167404, + "kl": 0.00023043155670166016, + "learning_rate": 4.1393354916230005e-07, + "loss": 0.0, + "reward": 0.6239464022219181, + "reward_std": 0.7162524946033955, + "rewards/cosine_scaled_reward": -0.04219348356127739, + "rewards/format_reward": 0.7083333414047956, + "step": 320 + }, + { + "completion_length": 1433.7083702087402, + "epoch": 0.3668571428571429, + "grad_norm": 0.03097819723188877, + "kl": 0.00015997886657714844, + "learning_rate": 4.1094235253127374e-07, + "loss": 0.0, + "reward": 1.5650277510285378, + "reward_std": 0.6967961974442005, + "rewards/cosine_scaled_reward": 0.35543054959271103, + "rewards/format_reward": 0.8541666716337204, + "step": 321 + }, + { + "completion_length": 2536.6250343322754, + "epoch": 0.368, + "grad_norm": 0.035577192902565, + "kl": 0.0003066062927246094, + "learning_rate": 4.079579333738039e-07, + "loss": 0.0, + "reward": 0.3695586025714874, + "reward_std": 0.85175746306777, + "rewards/cosine_scaled_reward": -0.05480404058471322, + "rewards/format_reward": 0.47916666977107525, + "step": 322 + }, + { + "completion_length": 2828.7083587646484, + "epoch": 0.36914285714285716, + "grad_norm": 0.022153332829475403, + "kl": 0.0002874135971069336, + "learning_rate": 4.0498043714627006e-07, + "loss": 0.0, + "reward": 0.35160677476233104, + "reward_std": 0.49565985053777695, + "rewards/cosine_scaled_reward": -0.03252994408831, + "rewards/format_reward": 0.41666666977107525, + "step": 323 + }, + { + "completion_length": 2622.7084045410156, + "epoch": 0.3702857142857143, + "grad_norm": 0.025416357442736626, + "kl": 0.00023853778839111328, + "learning_rate": 4.020100089676376e-07, + "loss": 0.0, + "reward": 0.6543685221113265, + "reward_std": 0.733675017952919, + "rewards/cosine_scaled_reward": 0.01468425802886486, + "rewards/format_reward": 0.6250000074505806, + "step": 324 + }, + { + "completion_length": 2451.312568664551, + "epoch": 0.37142857142857144, + "grad_norm": 0.030104102566838264, + "kl": 0.00023043155670166016, + "learning_rate": 3.9904679361238526e-07, + "loss": 0.0, + "reward": 1.3238378688693047, + "reward_std": 0.8181280642747879, + "rewards/cosine_scaled_reward": 0.3077522525563836, + "rewards/format_reward": 0.7083333469927311, + "step": 325 + }, + { + "completion_length": 2106.645866394043, + "epoch": 0.37257142857142855, + "grad_norm": 0.027758557349443436, + "kl": 0.0002227574586868286, + "learning_rate": 3.9609093550344907e-07, + "loss": 0.0, + "reward": 0.5596632058732212, + "reward_std": 0.41956991609185934, + "rewards/cosine_scaled_reward": -0.01183508150279522, + "rewards/format_reward": 0.583333333954215, + "step": 326 + }, + { + "completion_length": 2574.145851135254, + "epoch": 0.3737142857142857, + "grad_norm": 0.022373398765921593, + "kl": 0.0002663135528564453, + "learning_rate": 3.931425787051832e-07, + "loss": 0.0, + "reward": 0.6893210001289845, + "reward_std": 0.5786230899393559, + "rewards/cosine_scaled_reward": 0.09466049098409712, + "rewards/format_reward": 0.5000000055879354, + "step": 327 + }, + { + "completion_length": 3245.9791870117188, + "epoch": 0.37485714285714283, + "grad_norm": 0.020722128450870514, + "kl": 0.0002732276916503906, + "learning_rate": 3.902018669163384e-07, + "loss": 0.0, + "reward": -0.09898044681176543, + "reward_std": 0.7348660603165627, + "rewards/cosine_scaled_reward": -0.16407354921102524, + "rewards/format_reward": 0.2291666716337204, + "step": 328 + }, + { + "completion_length": 1781.6875381469727, + "epoch": 0.376, + "grad_norm": 0.03358970955014229, + "kl": 0.00023666024208068848, + "learning_rate": 3.872689434630585e-07, + "loss": 0.0, + "reward": 0.9239476323127747, + "reward_std": 0.6006343699991703, + "rewards/cosine_scaled_reward": 0.12864043563604355, + "rewards/format_reward": 0.6666666679084301, + "step": 329 + }, + { + "completion_length": 2251.4166870117188, + "epoch": 0.37714285714285717, + "grad_norm": 0.03271754831075668, + "kl": 0.00033169984817504883, + "learning_rate": 3.843439512918949e-07, + "loss": 0.0, + "reward": 0.4894188493490219, + "reward_std": 0.6065305564552546, + "rewards/cosine_scaled_reward": -0.026123913936316967, + "rewards/format_reward": 0.5416666716337204, + "step": 330 + }, + { + "completion_length": 2500.625026702881, + "epoch": 0.3782857142857143, + "grad_norm": 0.046767521649599075, + "kl": 0.0003387928009033203, + "learning_rate": 3.8142703296283953e-07, + "loss": 0.0, + "reward": 0.19016977865248919, + "reward_std": 0.5361207164824009, + "rewards/cosine_scaled_reward": -0.09241510927677155, + "rewards/format_reward": 0.3750000111758709, + "step": 331 + }, + { + "completion_length": 2354.2917251586914, + "epoch": 0.37942857142857145, + "grad_norm": 0.025751523673534393, + "kl": 0.00024452805519104004, + "learning_rate": 3.785183306423767e-07, + "loss": 0.0, + "reward": 0.5813850574195385, + "reward_std": 0.7453097756952047, + "rewards/cosine_scaled_reward": -0.03222414234187454, + "rewards/format_reward": 0.6458333414047956, + "step": 332 + }, + { + "completion_length": 1749.708366394043, + "epoch": 0.38057142857142856, + "grad_norm": 0.030186345800757408, + "kl": 0.00021500885486602783, + "learning_rate": 3.7561798609655373e-07, + "loss": 0.0, + "reward": 0.9438134930096567, + "reward_std": 0.7434254898689687, + "rewards/cosine_scaled_reward": 0.08649008721113205, + "rewards/format_reward": 0.7708333488553762, + "step": 333 + }, + { + "completion_length": 3011.7916870117188, + "epoch": 0.38171428571428573, + "grad_norm": 0.020333390682935715, + "kl": 0.0002646446228027344, + "learning_rate": 3.72726140684072e-07, + "loss": 0.0, + "reward": 0.013087651343084872, + "reward_std": 0.8183173164725304, + "rewards/cosine_scaled_reward": -0.19137283554300666, + "rewards/format_reward": 0.3958333432674408, + "step": 334 + }, + { + "completion_length": 2112.37508392334, + "epoch": 0.38285714285714284, + "grad_norm": 0.025975586846470833, + "kl": 0.00021225214004516602, + "learning_rate": 3.6984293534939737e-07, + "loss": 0.0, + "reward": 1.0843083523213863, + "reward_std": 0.8515229849144816, + "rewards/cosine_scaled_reward": 0.19840414822101593, + "rewards/format_reward": 0.6875000037252903, + "step": 335 + }, + { + "completion_length": 2667.9583892822266, + "epoch": 0.384, + "grad_norm": 0.029666097834706306, + "kl": 0.0002618134021759033, + "learning_rate": 3.6696851061588994e-07, + "loss": 0.0, + "reward": 0.6127568809315562, + "reward_std": 0.935376051813364, + "rewards/cosine_scaled_reward": 0.045961756026372313, + "rewards/format_reward": 0.5208333469927311, + "step": 336 + }, + { + "completion_length": 2586.4583587646484, + "epoch": 0.3851428571428571, + "grad_norm": 0.03280950337648392, + "kl": 0.00030684471130371094, + "learning_rate": 3.641030065789562e-07, + "loss": 0.0, + "reward": 0.4611587089020759, + "reward_std": 0.941901870071888, + "rewards/cosine_scaled_reward": -0.029837319627404213, + "rewards/format_reward": 0.5208333488553762, + "step": 337 + }, + { + "completion_length": 1920.6250457763672, + "epoch": 0.3862857142857143, + "grad_norm": 0.03358282893896103, + "kl": 0.00031685829162597656, + "learning_rate": 3.612465628992203e-07, + "loss": 0.0, + "reward": 1.1313491351902485, + "reward_std": 1.0058028288185596, + "rewards/cosine_scaled_reward": 0.2115078903734684, + "rewards/format_reward": 0.7083333507180214, + "step": 338 + }, + { + "completion_length": 2708.6042098999023, + "epoch": 0.38742857142857146, + "grad_norm": 0.023695282638072968, + "kl": 0.00026488304138183594, + "learning_rate": 3.5839931879571725e-07, + "loss": 0.0, + "reward": 0.38326615560799837, + "reward_std": 0.6079130750149488, + "rewards/cosine_scaled_reward": -0.0375335980206728, + "rewards/format_reward": 0.4583333395421505, + "step": 339 + }, + { + "completion_length": 2371.625030517578, + "epoch": 0.38857142857142857, + "grad_norm": 0.025804683566093445, + "kl": 0.00025916099548339844, + "learning_rate": 3.555614130391079e-07, + "loss": 0.0, + "reward": 0.6570014208555222, + "reward_std": 0.9428398255258799, + "rewards/cosine_scaled_reward": 0.026417370419949293, + "rewards/format_reward": 0.6041666734963655, + "step": 340 + }, + { + "completion_length": 2184.333381652832, + "epoch": 0.38971428571428574, + "grad_norm": 0.018583592027425766, + "kl": 0.00025847554206848145, + "learning_rate": 3.5273298394491515e-07, + "loss": 0.0, + "reward": 1.163216508924961, + "reward_std": 0.36735112965106964, + "rewards/cosine_scaled_reward": 0.21702490840107203, + "rewards/format_reward": 0.7291666716337204, + "step": 341 + }, + { + "completion_length": 2734.500045776367, + "epoch": 0.39085714285714285, + "grad_norm": 0.030387967824935913, + "kl": 0.00031244754791259766, + "learning_rate": 3.4991416936678276e-07, + "loss": 0.0, + "reward": 0.5118438927456737, + "reward_std": 0.9676601774990559, + "rewards/cosine_scaled_reward": 0.037171950563788414, + "rewards/format_reward": 0.43750000186264515, + "step": 342 + }, + { + "completion_length": 2897.3959045410156, + "epoch": 0.392, + "grad_norm": 0.018177591264247894, + "kl": 0.00023752450942993164, + "learning_rate": 3.471051066897562e-07, + "loss": 0.0, + "reward": 0.8089198600500822, + "reward_std": 1.0615319572389126, + "rewards/cosine_scaled_reward": 0.13362658489495516, + "rewards/format_reward": 0.541666679084301, + "step": 343 + }, + { + "completion_length": 2030.3333549499512, + "epoch": 0.3931428571428571, + "grad_norm": 0.02531350590288639, + "kl": 0.00022709369659423828, + "learning_rate": 3.4430593282358777e-07, + "loss": 0.0, + "reward": 1.0889792470261455, + "reward_std": 0.7364504262804985, + "rewards/cosine_scaled_reward": 0.20073960922309197, + "rewards/format_reward": 0.6875000018626451, + "step": 344 + }, + { + "completion_length": 2663.0833587646484, + "epoch": 0.3942857142857143, + "grad_norm": 0.0251361895352602, + "kl": 0.0002938807010650635, + "learning_rate": 3.4151678419606233e-07, + "loss": 0.0, + "reward": 0.43384309159591794, + "reward_std": 0.49294498562812805, + "rewards/cosine_scaled_reward": -0.012245113030076027, + "rewards/format_reward": 0.4583333395421505, + "step": 345 + }, + { + "completion_length": 3057.0625610351562, + "epoch": 0.3954285714285714, + "grad_norm": 0.01870022341609001, + "kl": 0.00028312206268310547, + "learning_rate": 3.387377967463493e-07, + "loss": 0.0, + "reward": 0.3562997840344906, + "reward_std": 0.6700815781950951, + "rewards/cosine_scaled_reward": -0.071850111708045, + "rewards/format_reward": 0.5000000018626451, + "step": 346 + }, + { + "completion_length": 2926.7708740234375, + "epoch": 0.3965714285714286, + "grad_norm": 0.019071895629167557, + "kl": 0.0002764463424682617, + "learning_rate": 3.359691059183761e-07, + "loss": 0.0, + "reward": 0.21276836469769478, + "reward_std": 0.5730974823236465, + "rewards/cosine_scaled_reward": -0.12278249301016331, + "rewards/format_reward": 0.4583333358168602, + "step": 347 + }, + { + "completion_length": 2656.3958435058594, + "epoch": 0.3977142857142857, + "grad_norm": 0.03188029304146767, + "kl": 0.0002663731575012207, + "learning_rate": 3.3321084665422803e-07, + "loss": 0.0, + "reward": 0.4368863687850535, + "reward_std": 0.4383883699774742, + "rewards/cosine_scaled_reward": -0.02114013209939003, + "rewards/format_reward": 0.4791666679084301, + "step": 348 + }, + { + "completion_length": 3118.750030517578, + "epoch": 0.39885714285714285, + "grad_norm": 0.020537259057164192, + "kl": 0.0003848075866699219, + "learning_rate": 3.3046315338757026e-07, + "loss": 0.0, + "reward": 0.15319344215095043, + "reward_std": 0.5101428851485252, + "rewards/cosine_scaled_reward": -0.07965327124111354, + "rewards/format_reward": 0.31250000186264515, + "step": 349 + }, + { + "completion_length": 2212.3750381469727, + "epoch": 0.4, + "grad_norm": 0.03013945370912552, + "kl": 0.0002713203430175781, + "learning_rate": 3.2772616003709616e-07, + "loss": 0.0, + "reward": 0.9151125885546207, + "reward_std": 0.895346611738205, + "rewards/cosine_scaled_reward": 0.14505626424215734, + "rewards/format_reward": 0.6250000074505806, + "step": 350 + }, + { + "completion_length": 2579.4375381469727, + "epoch": 0.40114285714285713, + "grad_norm": 0.021040596067905426, + "kl": 0.0002969503402709961, + "learning_rate": 3.250000000000001e-07, + "loss": 0.0, + "reward": 0.5091639803722501, + "reward_std": 0.6855394951999187, + "rewards/cosine_scaled_reward": 0.004581989720463753, + "rewards/format_reward": 0.5000000018626451, + "step": 351 + }, + { + "completion_length": 2121.1458740234375, + "epoch": 0.4022857142857143, + "grad_norm": 0.02947075478732586, + "kl": 0.0002119988203048706, + "learning_rate": 3.222848061454764e-07, + "loss": 0.0, + "reward": 0.7395412735641003, + "reward_std": 0.7547396682202816, + "rewards/cosine_scaled_reward": 0.046853944193571806, + "rewards/format_reward": 0.6458333432674408, + "step": 352 + }, + { + "completion_length": 2014.5833435058594, + "epoch": 0.4034285714285714, + "grad_norm": 0.03271789103746414, + "kl": 0.0002213120460510254, + "learning_rate": 3.195807108082429e-07, + "loss": 0.0, + "reward": 1.2261908203363419, + "reward_std": 0.7751676780171692, + "rewards/cosine_scaled_reward": 0.25892873853445053, + "rewards/format_reward": 0.7083333414047956, + "step": 353 + }, + { + "completion_length": 1930.916706085205, + "epoch": 0.4045714285714286, + "grad_norm": 0.03464234620332718, + "kl": 0.00023859739303588867, + "learning_rate": 3.168878457820915e-07, + "loss": 0.0, + "reward": 0.788333578966558, + "reward_std": 0.7727246461436152, + "rewards/cosine_scaled_reward": 0.060833441093564034, + "rewards/format_reward": 0.6666666734963655, + "step": 354 + }, + { + "completion_length": 2235.229217529297, + "epoch": 0.4057142857142857, + "grad_norm": 0.02619633823633194, + "kl": 0.0002925395965576172, + "learning_rate": 3.142063423134644e-07, + "loss": 0.0, + "reward": 0.9775698743760586, + "reward_std": 1.000068573281169, + "rewards/cosine_scaled_reward": 0.18670159205794334, + "rewards/format_reward": 0.6041666716337204, + "step": 355 + }, + { + "completion_length": 2525.604232788086, + "epoch": 0.40685714285714286, + "grad_norm": 0.022776400670409203, + "kl": 0.00028067827224731445, + "learning_rate": 3.115363310950578e-07, + "loss": 0.0, + "reward": 1.0638019368052483, + "reward_std": 0.8996341824531555, + "rewards/cosine_scaled_reward": 0.17773428186774254, + "rewards/format_reward": 0.7083333358168602, + "step": 356 + }, + { + "completion_length": 2803.0208854675293, + "epoch": 0.408, + "grad_norm": 0.02899840474128723, + "kl": 0.0002684593200683594, + "learning_rate": 3.0887794225945143e-07, + "loss": 0.0, + "reward": 0.3746182285249233, + "reward_std": 0.6245617978274822, + "rewards/cosine_scaled_reward": -0.03144089970737696, + "rewards/format_reward": 0.4375000074505806, + "step": 357 + }, + { + "completion_length": 2429.312530517578, + "epoch": 0.40914285714285714, + "grad_norm": 0.022451486438512802, + "kl": 0.00027573108673095703, + "learning_rate": 3.062313053727671e-07, + "loss": 0.0, + "reward": 1.352016813121736, + "reward_std": 0.6039175763726234, + "rewards/cosine_scaled_reward": 0.31142502650618553, + "rewards/format_reward": 0.7291666679084301, + "step": 358 + }, + { + "completion_length": 2191.812515258789, + "epoch": 0.4102857142857143, + "grad_norm": 0.03193458169698715, + "kl": 0.00021660327911376953, + "learning_rate": 3.0359654942835247e-07, + "loss": 0.0, + "reward": 0.7233314402401447, + "reward_std": 0.7219348400831223, + "rewards/cosine_scaled_reward": 0.059582391288131475, + "rewards/format_reward": 0.6041666716337204, + "step": 359 + }, + { + "completion_length": 2400.979217529297, + "epoch": 0.4114285714285714, + "grad_norm": 0.02467941865324974, + "kl": 0.00025135278701782227, + "learning_rate": 3.0097380284049523e-07, + "loss": 0.0, + "reward": 0.9745171531103551, + "reward_std": 0.8171700052917004, + "rewards/cosine_scaled_reward": 0.15392523724585772, + "rewards/format_reward": 0.666666679084301, + "step": 360 + }, + { + "completion_length": 2900.041732788086, + "epoch": 0.4125714285714286, + "grad_norm": 0.02299378626048565, + "kl": 0.0003606081008911133, + "learning_rate": 2.9836319343816397e-07, + "loss": 0.0, + "reward": 0.8722579134628177, + "reward_std": 0.942744567990303, + "rewards/cosine_scaled_reward": 0.17571225319989026, + "rewards/format_reward": 0.520833345130086, + "step": 361 + }, + { + "completion_length": 1323.479190826416, + "epoch": 0.4137142857142857, + "grad_norm": 0.03528214618563652, + "kl": 0.000218123197555542, + "learning_rate": 2.9576484845877793e-07, + "loss": 0.0, + "reward": 1.2730410918593407, + "reward_std": 0.7479732874780893, + "rewards/cosine_scaled_reward": 0.19902052055113018, + "rewards/format_reward": 0.8750000074505806, + "step": 362 + }, + { + "completion_length": 1805.2916793823242, + "epoch": 0.41485714285714287, + "grad_norm": 0.029074430465698242, + "kl": 0.00025790929794311523, + "learning_rate": 2.931788945420058e-07, + "loss": 0.0, + "reward": 1.1047739461064339, + "reward_std": 0.6205479633063078, + "rewards/cosine_scaled_reward": 0.1982202921062708, + "rewards/format_reward": 0.7083333432674408, + "step": 363 + }, + { + "completion_length": 2740.7083587646484, + "epoch": 0.416, + "grad_norm": 0.021566243842244148, + "kl": 0.000292360782623291, + "learning_rate": 2.9060545772359305e-07, + "loss": 0.0, + "reward": 0.36955657228827477, + "reward_std": 0.7109892182052135, + "rewards/cosine_scaled_reward": -0.05480505700688809, + "rewards/format_reward": 0.479166679084301, + "step": 364 + }, + { + "completion_length": 2874.7500534057617, + "epoch": 0.41714285714285715, + "grad_norm": 0.023213258013129234, + "kl": 0.00028192996978759766, + "learning_rate": 2.8804466342921987e-07, + "loss": 0.0, + "reward": 0.25813389755785465, + "reward_std": 0.7393531780689955, + "rewards/cosine_scaled_reward": -0.048016379587352276, + "rewards/format_reward": 0.3541666828095913, + "step": 365 + }, + { + "completion_length": 1737.541675567627, + "epoch": 0.41828571428571426, + "grad_norm": 0.03312158212065697, + "kl": 0.00028526782989501953, + "learning_rate": 2.854966364683872e-07, + "loss": 0.0, + "reward": 1.2915470600128174, + "reward_std": 0.7252576723694801, + "rewards/cosine_scaled_reward": 0.27077352383639663, + "rewards/format_reward": 0.75, + "step": 366 + }, + { + "completion_length": 2430.625045776367, + "epoch": 0.41942857142857143, + "grad_norm": 0.023319371044635773, + "kl": 0.00021529197692871094, + "learning_rate": 2.829615010283344e-07, + "loss": 0.0, + "reward": 0.817657120525837, + "reward_std": 0.5943502280861139, + "rewards/cosine_scaled_reward": 0.09632855094969273, + "rewards/format_reward": 0.6250000037252903, + "step": 367 + }, + { + "completion_length": 3034.270835876465, + "epoch": 0.4205714285714286, + "grad_norm": 0.026619471609592438, + "kl": 0.0003840923309326172, + "learning_rate": 2.8043938066798645e-07, + "loss": 0.0, + "reward": 0.38300488237291574, + "reward_std": 0.5576745513826609, + "rewards/cosine_scaled_reward": 0.024835781194269657, + "rewards/format_reward": 0.3333333395421505, + "step": 368 + }, + { + "completion_length": 2265.8334045410156, + "epoch": 0.4217142857142857, + "grad_norm": 0.02840518392622471, + "kl": 0.00026166439056396484, + "learning_rate": 2.7793039831193133e-07, + "loss": 0.0, + "reward": 0.9877472408115864, + "reward_std": 0.911319050937891, + "rewards/cosine_scaled_reward": 0.18137363530695438, + "rewards/format_reward": 0.6250000111758709, + "step": 369 + }, + { + "completion_length": 3168.2916717529297, + "epoch": 0.4228571428571429, + "grad_norm": 0.02979353815317154, + "kl": 0.00041425228118896484, + "learning_rate": 2.7543467624442956e-07, + "loss": 0.0, + "reward": 0.3131989259272814, + "reward_std": 0.9070627521723509, + "rewards/cosine_scaled_reward": 0.03159945458173752, + "rewards/format_reward": 0.2500000037252903, + "step": 370 + }, + { + "completion_length": 1747.312515258789, + "epoch": 0.424, + "grad_norm": 0.04161190241575241, + "kl": 0.00025528669357299805, + "learning_rate": 2.729523361034538e-07, + "loss": 0.0, + "reward": 0.7982922215014696, + "reward_std": 0.31508788373321295, + "rewards/cosine_scaled_reward": 0.0762293990701437, + "rewards/format_reward": 0.645833333954215, + "step": 371 + }, + { + "completion_length": 2756.2708587646484, + "epoch": 0.42514285714285716, + "grad_norm": 0.02483726479113102, + "kl": 0.0003197193145751953, + "learning_rate": 2.7048349887476037e-07, + "loss": 0.0, + "reward": 1.0121797006577253, + "reward_std": 0.9594811573624611, + "rewards/cosine_scaled_reward": 0.2248398419469595, + "rewards/format_reward": 0.5625000093132257, + "step": 372 + }, + { + "completion_length": 1751.770866394043, + "epoch": 0.42628571428571427, + "grad_norm": 0.03236696869134903, + "kl": 0.00019246339797973633, + "learning_rate": 2.6802828488599294e-07, + "loss": 0.0, + "reward": 0.8297730721533298, + "reward_std": 0.8522606380283833, + "rewards/cosine_scaled_reward": 0.039886531041702256, + "rewards/format_reward": 0.7500000037252903, + "step": 373 + }, + { + "completion_length": 1826.958351135254, + "epoch": 0.42742857142857144, + "grad_norm": 0.038021981716156006, + "kl": 0.0002339780330657959, + "learning_rate": 2.655868138008171e-07, + "loss": 0.0, + "reward": 0.8999335905537009, + "reward_std": 0.7978312708437443, + "rewards/cosine_scaled_reward": 0.08538344036787748, + "rewards/format_reward": 0.729166679084301, + "step": 374 + }, + { + "completion_length": 2728.250015258789, + "epoch": 0.42857142857142855, + "grad_norm": 0.025368480011820793, + "kl": 0.0003457069396972656, + "learning_rate": 2.631592046130896e-07, + "loss": 0.0, + "reward": 0.6862165480852127, + "reward_std": 0.7109800316393375, + "rewards/cosine_scaled_reward": 0.12435825169086456, + "rewards/format_reward": 0.4375000074505806, + "step": 375 + }, + { + "completion_length": 2175.3333587646484, + "epoch": 0.4297142857142857, + "grad_norm": 0.0324525311589241, + "kl": 0.0003424808382987976, + "learning_rate": 2.6074557564105724e-07, + "loss": 0.0, + "reward": 0.5297784507274628, + "reward_std": 0.4516606852412224, + "rewards/cosine_scaled_reward": -0.05802745930850506, + "rewards/format_reward": 0.645833333954215, + "step": 376 + }, + { + "completion_length": 3404.8750915527344, + "epoch": 0.4308571428571429, + "grad_norm": 0.019506795331835747, + "kl": 0.00038254261016845703, + "learning_rate": 2.583460445215911e-07, + "loss": 0.0, + "reward": 0.21527918288484216, + "reward_std": 0.9994356147944927, + "rewards/cosine_scaled_reward": -0.05902708321809769, + "rewards/format_reward": 0.33333333767950535, + "step": 377 + }, + { + "completion_length": 1961.4167003631592, + "epoch": 0.432, + "grad_norm": 0.039375122636556625, + "kl": 0.00024241209030151367, + "learning_rate": 2.5596072820445254e-07, + "loss": 0.0, + "reward": 0.893386272713542, + "reward_std": 0.8861826229840517, + "rewards/cosine_scaled_reward": 0.10294315160717815, + "rewards/format_reward": 0.687500013038516, + "step": 378 + }, + { + "completion_length": 3086.8542098999023, + "epoch": 0.43314285714285716, + "grad_norm": 0.022253919392824173, + "kl": 0.0003380775451660156, + "learning_rate": 2.5358974294659373e-07, + "loss": 0.0, + "reward": 0.2040771245956421, + "reward_std": 0.7313600815832615, + "rewards/cosine_scaled_reward": -0.033378101885318756, + "rewards/format_reward": 0.27083333767950535, + "step": 379 + }, + { + "completion_length": 2130.1666870117188, + "epoch": 0.4342857142857143, + "grad_norm": 0.031271472573280334, + "kl": 0.0002847909927368164, + "learning_rate": 2.512332043064913e-07, + "loss": 0.0, + "reward": 1.0673715379089117, + "reward_std": 0.6758305430412292, + "rewards/cosine_scaled_reward": 0.16910243220627308, + "rewards/format_reward": 0.7291666772216558, + "step": 380 + }, + { + "completion_length": 2840.5209197998047, + "epoch": 0.43542857142857144, + "grad_norm": 0.024770023301243782, + "kl": 0.00039768218994140625, + "learning_rate": 2.488912271385139e-07, + "loss": 0.0, + "reward": 0.8948189206421375, + "reward_std": 1.0691867098212242, + "rewards/cosine_scaled_reward": 0.15574277006089687, + "rewards/format_reward": 0.5833333507180214, + "step": 381 + }, + { + "completion_length": 1638.2917022705078, + "epoch": 0.43657142857142855, + "grad_norm": 0.028202086687088013, + "kl": 0.00019669532775878906, + "learning_rate": 2.465639255873246e-07, + "loss": 0.0, + "reward": 0.4687234200537205, + "reward_std": 0.6315413638949394, + "rewards/cosine_scaled_reward": -0.1718882955610752, + "rewards/format_reward": 0.8125000074505806, + "step": 382 + }, + { + "completion_length": 2525.875030517578, + "epoch": 0.4377142857142857, + "grad_norm": 0.028156043961644173, + "kl": 0.0003873109817504883, + "learning_rate": 2.4425141308231765e-07, + "loss": 0.0, + "reward": 0.6626773066818714, + "reward_std": 0.6682372465729713, + "rewards/cosine_scaled_reward": 0.06050530215725303, + "rewards/format_reward": 0.5416666679084301, + "step": 383 + }, + { + "completion_length": 2035.6875305175781, + "epoch": 0.43885714285714283, + "grad_norm": 0.0351465679705143, + "kl": 0.0002747178077697754, + "learning_rate": 2.4195380233209006e-07, + "loss": 0.0, + "reward": 1.3732114508748055, + "reward_std": 1.1746384501457214, + "rewards/cosine_scaled_reward": 0.3428557086735964, + "rewards/format_reward": 0.6875000149011612, + "step": 384 + }, + { + "completion_length": 2768.8541870117188, + "epoch": 0.44, + "grad_norm": 0.020549314096570015, + "kl": 0.00025400519371032715, + "learning_rate": 2.3967120531894857e-07, + "loss": 0.0, + "reward": 0.41839180141687393, + "reward_std": 0.7576583102345467, + "rewards/cosine_scaled_reward": -0.06163745652884245, + "rewards/format_reward": 0.5416666716337204, + "step": 385 + }, + { + "completion_length": 2741.3541870117188, + "epoch": 0.44114285714285717, + "grad_norm": 0.022283930331468582, + "kl": 0.00032389163970947266, + "learning_rate": 2.374037332934512e-07, + "loss": 0.0, + "reward": 0.35035596787929535, + "reward_std": 0.6659238189458847, + "rewards/cosine_scaled_reward": -0.06440535286674276, + "rewards/format_reward": 0.47916667722165585, + "step": 386 + }, + { + "completion_length": 3046.9791984558105, + "epoch": 0.4422857142857143, + "grad_norm": 0.031019089743494987, + "kl": 0.0004036426544189453, + "learning_rate": 2.3515149676898552e-07, + "loss": 0.0, + "reward": 0.1448732865974307, + "reward_std": 0.7876984663307667, + "rewards/cosine_scaled_reward": -0.0421467050909996, + "rewards/format_reward": 0.2291666753590107, + "step": 387 + }, + { + "completion_length": 2511.062530517578, + "epoch": 0.44342857142857145, + "grad_norm": 0.025159146636724472, + "kl": 0.0003024935722351074, + "learning_rate": 2.3291460551638237e-07, + "loss": 0.0, + "reward": 0.6130173578858376, + "reward_std": 0.545312637463212, + "rewards/cosine_scaled_reward": 0.06692530773580074, + "rewards/format_reward": 0.47916667722165585, + "step": 388 + }, + { + "completion_length": 2439.0833854675293, + "epoch": 0.44457142857142856, + "grad_norm": 0.028031574562191963, + "kl": 0.00030285120010375977, + "learning_rate": 2.306931685585657e-07, + "loss": 0.0, + "reward": 0.5443721693009138, + "reward_std": 0.6922687292098999, + "rewards/cosine_scaled_reward": -0.01948060654103756, + "rewards/format_reward": 0.5833333507180214, + "step": 389 + }, + { + "completion_length": 1954.3542175292969, + "epoch": 0.44571428571428573, + "grad_norm": 0.030413255095481873, + "kl": 0.00020575523376464844, + "learning_rate": 2.2848729416523859e-07, + "loss": 0.0, + "reward": 1.0101970732212067, + "reward_std": 0.8248934336006641, + "rewards/cosine_scaled_reward": 0.14051519706845284, + "rewards/format_reward": 0.7291666716337204, + "step": 390 + }, + { + "completion_length": 2316.9583892822266, + "epoch": 0.44685714285714284, + "grad_norm": 0.035128720104694366, + "kl": 0.00028714537620544434, + "learning_rate": 2.2629708984760706e-07, + "loss": 0.0, + "reward": 1.2428898513317108, + "reward_std": 0.6731934603303671, + "rewards/cosine_scaled_reward": 0.2881115823984146, + "rewards/format_reward": 0.6666666679084301, + "step": 391 + }, + { + "completion_length": 1697.4583587646484, + "epoch": 0.448, + "grad_norm": 0.03315872699022293, + "kl": 0.00025475025177001953, + "learning_rate": 2.2412266235313973e-07, + "loss": 0.0, + "reward": 0.8411284685134888, + "reward_std": 0.5785612929612398, + "rewards/cosine_scaled_reward": 0.04556424228940159, + "rewards/format_reward": 0.7500000055879354, + "step": 392 + }, + { + "completion_length": 2015.7917022705078, + "epoch": 0.4491428571428571, + "grad_norm": 0.027014190331101418, + "kl": 0.00029033422470092773, + "learning_rate": 2.2196411766036487e-07, + "loss": 0.0, + "reward": 1.0128965936601162, + "reward_std": 0.9798723421990871, + "rewards/cosine_scaled_reward": 0.13144830497913063, + "rewards/format_reward": 0.7500000018626451, + "step": 393 + }, + { + "completion_length": 2925.187545776367, + "epoch": 0.4502857142857143, + "grad_norm": 0.02542806603014469, + "kl": 0.0003414154052734375, + "learning_rate": 2.1982156097370557e-07, + "loss": 0.0, + "reward": 0.06015077605843544, + "reward_std": 0.6904054302722216, + "rewards/cosine_scaled_reward": -0.13659127056598663, + "rewards/format_reward": 0.33333333767950535, + "step": 394 + }, + { + "completion_length": 2059.0833740234375, + "epoch": 0.4514285714285714, + "grad_norm": 0.055620644241571426, + "kl": 0.0002554953098297119, + "learning_rate": 2.1769509671835223e-07, + "loss": 0.0, + "reward": 0.24230369459837675, + "reward_std": 0.5080111399292946, + "rewards/cosine_scaled_reward": -0.139264827943407, + "rewards/format_reward": 0.5208333395421505, + "step": 395 + }, + { + "completion_length": 2738.229217529297, + "epoch": 0.45257142857142857, + "grad_norm": 0.02174789272248745, + "kl": 0.0003293752670288086, + "learning_rate": 2.1558482853517253e-07, + "loss": 0.0, + "reward": 0.5809464631602168, + "reward_std": 0.8570992723107338, + "rewards/cosine_scaled_reward": 0.03005655948072672, + "rewards/format_reward": 0.5208333432674408, + "step": 396 + }, + { + "completion_length": 2119.9375534057617, + "epoch": 0.45371428571428574, + "grad_norm": 0.02603338658809662, + "kl": 0.000241011381149292, + "learning_rate": 2.134908592756607e-07, + "loss": 0.0, + "reward": 0.9264453984797001, + "reward_std": 0.5849390588700771, + "rewards/cosine_scaled_reward": 0.0882226787507534, + "rewards/format_reward": 0.7500000055879354, + "step": 397 + }, + { + "completion_length": 2522.7709045410156, + "epoch": 0.45485714285714285, + "grad_norm": 0.023683685809373856, + "kl": 0.000274658203125, + "learning_rate": 2.1141329099692406e-07, + "loss": 0.0, + "reward": 0.8225542418658733, + "reward_std": 1.0746662057936192, + "rewards/cosine_scaled_reward": 0.07794378884136677, + "rewards/format_reward": 0.6666666734963655, + "step": 398 + }, + { + "completion_length": 1766.2083740234375, + "epoch": 0.456, + "grad_norm": 0.025745665654540062, + "kl": 0.000264585018157959, + "learning_rate": 2.0935222495670968e-07, + "loss": 0.0, + "reward": 1.4033365920186043, + "reward_std": 0.6987381167709827, + "rewards/cosine_scaled_reward": 0.26416830345988274, + "rewards/format_reward": 0.875, + "step": 399 + }, + { + "completion_length": 1470.5000305175781, + "epoch": 0.45714285714285713, + "grad_norm": 0.030597828328609467, + "kl": 0.00021582841873168945, + "learning_rate": 2.0730776160846853e-07, + "loss": 0.0, + "reward": 1.6081257872283459, + "reward_std": 0.7085444070398808, + "rewards/cosine_scaled_reward": 0.33531289361417294, + "rewards/format_reward": 0.9375000074505806, + "step": 400 + }, + { + "completion_length": 3003.7708587646484, + "epoch": 0.4582857142857143, + "grad_norm": 0.023032892495393753, + "kl": 0.0003560781478881836, + "learning_rate": 2.0528000059645995e-07, + "loss": 0.0, + "reward": 0.5061473976820707, + "reward_std": 0.665686160326004, + "rewards/cosine_scaled_reward": 0.08640703570563346, + "rewards/format_reward": 0.3333333358168602, + "step": 401 + }, + { + "completion_length": 2160.0416946411133, + "epoch": 0.4594285714285714, + "grad_norm": 0.03311454504728317, + "kl": 0.00029790401458740234, + "learning_rate": 2.032690407508949e-07, + "loss": 0.0, + "reward": 0.4731251299381256, + "reward_std": 0.45016609132289886, + "rewards/cosine_scaled_reward": -0.03427077550441027, + "rewards/format_reward": 0.5416666716337204, + "step": 402 + }, + { + "completion_length": 1579.2292251586914, + "epoch": 0.4605714285714286, + "grad_norm": 0.040304120630025864, + "kl": 0.00027740001678466797, + "learning_rate": 2.0127498008311922e-07, + "loss": 0.0, + "reward": 1.0009474894031882, + "reward_std": 0.58954899571836, + "rewards/cosine_scaled_reward": 0.08380707260221243, + "rewards/format_reward": 0.8333333414047956, + "step": 403 + }, + { + "completion_length": 2295.062557220459, + "epoch": 0.4617142857142857, + "grad_norm": 0.03594672679901123, + "kl": 0.0002923309803009033, + "learning_rate": 1.9929791578083655e-07, + "loss": 0.0, + "reward": 0.6277561672031879, + "reward_std": 0.576149944216013, + "rewards/cosine_scaled_reward": 0.04304474964737892, + "rewards/format_reward": 0.5416666716337204, + "step": 404 + }, + { + "completion_length": 2160.333339691162, + "epoch": 0.46285714285714286, + "grad_norm": 0.044510871171951294, + "kl": 0.00038023293018341064, + "learning_rate": 1.9733794420337213e-07, + "loss": 0.0, + "reward": 0.7880059815943241, + "reward_std": 0.9082814259454608, + "rewards/cosine_scaled_reward": 0.10233633872121572, + "rewards/format_reward": 0.5833333395421505, + "step": 405 + }, + { + "completion_length": 2105.3125228881836, + "epoch": 0.464, + "grad_norm": 0.026859665289521217, + "kl": 0.0003541707992553711, + "learning_rate": 1.9539516087697517e-07, + "loss": 0.0, + "reward": 1.1059295609593391, + "reward_std": 0.7627066448330879, + "rewards/cosine_scaled_reward": 0.16754809115082026, + "rewards/format_reward": 0.7708333432674408, + "step": 406 + }, + { + "completion_length": 2212.0625381469727, + "epoch": 0.46514285714285714, + "grad_norm": 0.02859460562467575, + "kl": 0.00026991963386535645, + "learning_rate": 1.934696604901642e-07, + "loss": 0.0, + "reward": 0.7443156484514475, + "reward_std": 0.6628005839884281, + "rewards/cosine_scaled_reward": 0.08049114793539047, + "rewards/format_reward": 0.5833333395421505, + "step": 407 + }, + { + "completion_length": 2292.583381652832, + "epoch": 0.4662857142857143, + "grad_norm": 0.02938149869441986, + "kl": 0.0002721548080444336, + "learning_rate": 1.915615368891117e-07, + "loss": 0.0, + "reward": 0.84524005651474, + "reward_std": 0.6734911154489964, + "rewards/cosine_scaled_reward": 0.08928670734167099, + "rewards/format_reward": 0.666666679084301, + "step": 408 + }, + { + "completion_length": 3335.9583740234375, + "epoch": 0.4674285714285714, + "grad_norm": 0.0185756403952837, + "kl": 0.0003679990768432617, + "learning_rate": 1.8967088307307e-07, + "loss": 0.0, + "reward": 0.31832231767475605, + "reward_std": 0.9492303058505058, + "rewards/cosine_scaled_reward": 0.002911144867539406, + "rewards/format_reward": 0.31250000558793545, + "step": 409 + }, + { + "completion_length": 2268.0833740234375, + "epoch": 0.4685714285714286, + "grad_norm": 0.03002990409731865, + "kl": 0.000295102596282959, + "learning_rate": 1.8779779118983867e-07, + "loss": 0.0, + "reward": 0.7843060363084078, + "reward_std": 1.074190242215991, + "rewards/cosine_scaled_reward": 0.07965302001684904, + "rewards/format_reward": 0.6250000093132257, + "step": 410 + }, + { + "completion_length": 2607.520881652832, + "epoch": 0.4697142857142857, + "grad_norm": 0.04299235716462135, + "kl": 0.0003064870834350586, + "learning_rate": 1.8594235253127372e-07, + "loss": 0.0, + "reward": 0.3397108046337962, + "reward_std": 0.7905894294381142, + "rewards/cosine_scaled_reward": -0.04889458604156971, + "rewards/format_reward": 0.4375000111758709, + "step": 411 + }, + { + "completion_length": 2604.625030517578, + "epoch": 0.47085714285714286, + "grad_norm": 0.02590368315577507, + "kl": 0.00034099817276000977, + "learning_rate": 1.8410465752883758e-07, + "loss": 0.0, + "reward": 1.047096872702241, + "reward_std": 0.7374865831807256, + "rewards/cosine_scaled_reward": 0.2631317935883999, + "rewards/format_reward": 0.520833333954215, + "step": 412 + }, + { + "completion_length": 2449.8750381469727, + "epoch": 0.472, + "grad_norm": 0.023459814488887787, + "kl": 0.0002518892288208008, + "learning_rate": 1.822847957491922e-07, + "loss": 0.0, + "reward": 0.7442583926022053, + "reward_std": 0.9269864112138748, + "rewards/cosine_scaled_reward": 0.09087921027094126, + "rewards/format_reward": 0.5625000111758709, + "step": 413 + }, + { + "completion_length": 2950.354217529297, + "epoch": 0.47314285714285714, + "grad_norm": 0.01904076710343361, + "kl": 0.0002581775188446045, + "learning_rate": 1.804828558898332e-07, + "loss": 0.0, + "reward": 0.674991624429822, + "reward_std": 0.8730818629264832, + "rewards/cosine_scaled_reward": 0.06666246941313148, + "rewards/format_reward": 0.541666679084301, + "step": 414 + }, + { + "completion_length": 3076.6666870117188, + "epoch": 0.4742857142857143, + "grad_norm": 0.023224493488669395, + "kl": 0.0003394484519958496, + "learning_rate": 1.7869892577476722e-07, + "loss": 0.0, + "reward": 0.21714868023991585, + "reward_std": 0.7628773404285312, + "rewards/cosine_scaled_reward": -0.05809233826585114, + "rewards/format_reward": 0.3333333358168602, + "step": 415 + }, + { + "completion_length": 1542.4583740234375, + "epoch": 0.4754285714285714, + "grad_norm": 0.030471056699752808, + "kl": 0.00021645426750183105, + "learning_rate": 1.7693309235023127e-07, + "loss": 0.0, + "reward": 0.9979265034198761, + "reward_std": 0.8310877997428179, + "rewards/cosine_scaled_reward": 0.0927132535725832, + "rewards/format_reward": 0.8125000149011612, + "step": 416 + }, + { + "completion_length": 3084.7083587646484, + "epoch": 0.4765714285714286, + "grad_norm": 0.021396063268184662, + "kl": 0.00035440921783447266, + "learning_rate": 1.7518544168045524e-07, + "loss": 0.0, + "reward": 0.03550974000245333, + "reward_std": 0.7396349869668484, + "rewards/cosine_scaled_reward": -0.12807846441864967, + "rewards/format_reward": 0.29166667722165585, + "step": 417 + }, + { + "completion_length": 2215.229232788086, + "epoch": 0.4777142857142857, + "grad_norm": 0.033279899507761, + "kl": 0.00040906667709350586, + "learning_rate": 1.7345605894346726e-07, + "loss": 0.0, + "reward": 0.7383007109165192, + "reward_std": 0.3981512626633048, + "rewards/cosine_scaled_reward": 0.07748369872570038, + "rewards/format_reward": 0.5833333358168602, + "step": 418 + }, + { + "completion_length": 2424.5625381469727, + "epoch": 0.47885714285714287, + "grad_norm": 0.027742447331547737, + "kl": 0.00024384260177612305, + "learning_rate": 1.7174502842694212e-07, + "loss": 0.0, + "reward": 0.6631737016141415, + "reward_std": 0.6519222892820835, + "rewards/cosine_scaled_reward": 0.07117018103599548, + "rewards/format_reward": 0.520833333954215, + "step": 419 + }, + { + "completion_length": 1580.56254196167, + "epoch": 0.48, + "grad_norm": 0.04106001928448677, + "kl": 0.00024759769439697266, + "learning_rate": 1.7005243352409333e-07, + "loss": 0.0, + "reward": 0.5669936803169549, + "reward_std": 0.6721935961395502, + "rewards/cosine_scaled_reward": -0.11233649682253599, + "rewards/format_reward": 0.7916666679084301, + "step": 420 + }, + { + "completion_length": 2925.1250228881836, + "epoch": 0.48114285714285715, + "grad_norm": 0.027175476774573326, + "kl": 0.0003466606140136719, + "learning_rate": 1.6837835672960831e-07, + "loss": 0.0, + "reward": 0.4191740155220032, + "reward_std": 0.6842759978026152, + "rewards/cosine_scaled_reward": 0.0012536547146737576, + "rewards/format_reward": 0.4166666716337204, + "step": 421 + }, + { + "completion_length": 2770.1458740234375, + "epoch": 0.48228571428571426, + "grad_norm": 0.0218949094414711, + "kl": 0.00034099817276000977, + "learning_rate": 1.6672287963562852e-07, + "loss": 0.0, + "reward": 0.4831668883562088, + "reward_std": 0.7019177824258804, + "rewards/cosine_scaled_reward": 0.012416768004186451, + "rewards/format_reward": 0.4583333358168602, + "step": 422 + }, + { + "completion_length": 2963.6667098999023, + "epoch": 0.48342857142857143, + "grad_norm": 0.024210037663578987, + "kl": 0.0003743171691894531, + "learning_rate": 1.6508608292777203e-07, + "loss": 0.0, + "reward": 0.4695848897099495, + "reward_std": 0.885172575712204, + "rewards/cosine_scaled_reward": 0.005625786259770393, + "rewards/format_reward": 0.4583333358168602, + "step": 423 + }, + { + "completion_length": 2673.93758392334, + "epoch": 0.4845714285714286, + "grad_norm": 0.028210051357746124, + "kl": 0.00032579898834228516, + "learning_rate": 1.6346804638120098e-07, + "loss": 0.0, + "reward": 0.5200405437499285, + "reward_std": 0.9913763739168644, + "rewards/cosine_scaled_reward": 0.041270275600254536, + "rewards/format_reward": 0.4375000074505806, + "step": 424 + }, + { + "completion_length": 1474.7500305175781, + "epoch": 0.4857142857142857, + "grad_norm": 0.032733287662267685, + "kl": 0.00016742944717407227, + "learning_rate": 1.6186884885673413e-07, + "loss": 0.0, + "reward": 2.216394782066345, + "reward_std": 0.6638942826539278, + "rewards/cosine_scaled_reward": 0.6186139956116676, + "rewards/format_reward": 0.9791666716337204, + "step": 425 + }, + { + "completion_length": 1995.0416946411133, + "epoch": 0.4868571428571429, + "grad_norm": 0.041653890162706375, + "kl": 0.00038945674896240234, + "learning_rate": 1.6028856829700258e-07, + "loss": 0.0, + "reward": 0.8248560577630997, + "reward_std": 0.8269761241972446, + "rewards/cosine_scaled_reward": 0.11034468945581466, + "rewards/format_reward": 0.6041666716337204, + "step": 426 + }, + { + "completion_length": 2970.2083587646484, + "epoch": 0.488, + "grad_norm": 0.022912204265594482, + "kl": 0.0003581047058105469, + "learning_rate": 1.5872728172265146e-07, + "loss": 0.0, + "reward": 0.3813675809651613, + "reward_std": 0.5880897492170334, + "rewards/cosine_scaled_reward": 0.024017130956053734, + "rewards/format_reward": 0.33333333395421505, + "step": 427 + }, + { + "completion_length": 2192.604202270508, + "epoch": 0.48914285714285716, + "grad_norm": 0.03489791974425316, + "kl": 0.0003153085708618164, + "learning_rate": 1.5718506522858572e-07, + "loss": 0.0, + "reward": 0.6708185374736786, + "reward_std": 1.0236610621213913, + "rewards/cosine_scaled_reward": 0.03332593198865652, + "rewards/format_reward": 0.604166679084301, + "step": 428 + }, + { + "completion_length": 2013.4167098999023, + "epoch": 0.49028571428571427, + "grad_norm": 0.03182235732674599, + "kl": 0.00034117698669433594, + "learning_rate": 1.5566199398026147e-07, + "loss": 0.0, + "reward": 0.7822023816406727, + "reward_std": 0.6942301616072655, + "rewards/cosine_scaled_reward": 0.01610116008669138, + "rewards/format_reward": 0.7500000111758709, + "step": 429 + }, + { + "completion_length": 2299.312511444092, + "epoch": 0.49142857142857144, + "grad_norm": 0.0236895140260458, + "kl": 0.0003446042537689209, + "learning_rate": 1.5415814221002265e-07, + "loss": 0.0, + "reward": 0.884235505014658, + "reward_std": 0.5636085197329521, + "rewards/cosine_scaled_reward": 0.129617752507329, + "rewards/format_reward": 0.625, + "step": 430 + }, + { + "completion_length": 2268.312530517578, + "epoch": 0.49257142857142855, + "grad_norm": 0.028193598613142967, + "kl": 0.0004367828369140625, + "learning_rate": 1.5267358321348285e-07, + "loss": 0.0, + "reward": 0.5578006114810705, + "reward_std": 0.7199101895093918, + "rewards/cosine_scaled_reward": -0.023183029145002365, + "rewards/format_reward": 0.6041666809469461, + "step": 431 + }, + { + "completion_length": 2806.8125610351562, + "epoch": 0.4937142857142857, + "grad_norm": 0.02204781211912632, + "kl": 0.00034296512603759766, + "learning_rate": 1.5120838934595337e-07, + "loss": 0.0, + "reward": 0.5058688074350357, + "reward_std": 1.0230275467038155, + "rewards/cosine_scaled_reward": 0.0237677285913378, + "rewards/format_reward": 0.45833334513008595, + "step": 432 + }, + { + "completion_length": 2901.750030517578, + "epoch": 0.4948571428571429, + "grad_norm": 0.023653727024793625, + "kl": 0.00032711029052734375, + "learning_rate": 1.4976263201891613e-07, + "loss": 0.0, + "reward": 0.39292088645743206, + "reward_std": 0.6577230170369148, + "rewards/cosine_scaled_reward": 0.0193770844489336, + "rewards/format_reward": 0.35416666977107525, + "step": 433 + }, + { + "completion_length": 2797.5208740234375, + "epoch": 0.496, + "grad_norm": 0.026688504964113235, + "kl": 0.0003750920295715332, + "learning_rate": 1.483363816965435e-07, + "loss": 0.0, + "reward": -0.11356328427791595, + "reward_std": 0.5170617178082466, + "rewards/cosine_scaled_reward": -0.23386498540639877, + "rewards/format_reward": 0.3541666679084301, + "step": 434 + }, + { + "completion_length": 2098.0416946411133, + "epoch": 0.49714285714285716, + "grad_norm": 0.03707343339920044, + "kl": 0.00035834312438964844, + "learning_rate": 1.469297078922642e-07, + "loss": 0.0, + "reward": 0.45782112469896674, + "reward_std": 0.514393039047718, + "rewards/cosine_scaled_reward": -0.07317277602851391, + "rewards/format_reward": 0.6041666716337204, + "step": 435 + }, + { + "completion_length": 1943.4167022705078, + "epoch": 0.4982857142857143, + "grad_norm": 0.031391605734825134, + "kl": 0.0002682805061340332, + "learning_rate": 1.4554267916537495e-07, + "loss": 0.0, + "reward": 1.0878197699785233, + "reward_std": 0.7217961475253105, + "rewards/cosine_scaled_reward": 0.15849320590496063, + "rewards/format_reward": 0.7708333376795053, + "step": 436 + }, + { + "completion_length": 2698.0000228881836, + "epoch": 0.49942857142857144, + "grad_norm": 0.02348100021481514, + "kl": 0.0003057122230529785, + "learning_rate": 1.4417536311769885e-07, + "loss": 0.0, + "reward": 0.29235613951459527, + "reward_std": 0.37082277424633503, + "rewards/cosine_scaled_reward": -0.06215526815503836, + "rewards/format_reward": 0.4166666679084301, + "step": 437 + }, + { + "completion_length": 2779.583396911621, + "epoch": 0.5005714285714286, + "grad_norm": 0.021524518728256226, + "kl": 0.0003088712692260742, + "learning_rate": 1.4282782639029128e-07, + "loss": 0.0, + "reward": 0.6523042246699333, + "reward_std": 0.884812381118536, + "rewards/cosine_scaled_reward": 0.05531877093017101, + "rewards/format_reward": 0.5416666772216558, + "step": 438 + }, + { + "completion_length": 2301.604217529297, + "epoch": 0.5017142857142857, + "grad_norm": 0.02649969980120659, + "kl": 0.00031888484954833984, + "learning_rate": 1.4150013466019114e-07, + "loss": 0.0, + "reward": 0.5825948305428028, + "reward_std": 0.844958171248436, + "rewards/cosine_scaled_reward": -0.010785935446619987, + "rewards/format_reward": 0.6041666734963655, + "step": 439 + }, + { + "completion_length": 2899.458339691162, + "epoch": 0.5028571428571429, + "grad_norm": 0.026726072654128075, + "kl": 0.0004227161407470703, + "learning_rate": 1.4019235263722034e-07, + "loss": 0.0, + "reward": -0.10262651741504669, + "reward_std": 0.5177539475262165, + "rewards/cosine_scaled_reward": -0.17631326615810394, + "rewards/format_reward": 0.25, + "step": 440 + }, + { + "completion_length": 2830.2292137145996, + "epoch": 0.504, + "grad_norm": 0.024895742535591125, + "kl": 0.000400543212890625, + "learning_rate": 1.3890454406082956e-07, + "loss": 0.0, + "reward": 0.5320205697789788, + "reward_std": 0.6080023515969515, + "rewards/cosine_scaled_reward": 0.05767695792019367, + "rewards/format_reward": 0.41666667349636555, + "step": 441 + }, + { + "completion_length": 2856.729179382324, + "epoch": 0.5051428571428571, + "grad_norm": 0.024759601801633835, + "kl": 0.00035691261291503906, + "learning_rate": 1.3763677169699217e-07, + "loss": 0.0, + "reward": 0.14839190989732742, + "reward_std": 0.5381195954978466, + "rewards/cosine_scaled_reward": -0.11330404752516188, + "rewards/format_reward": 0.375, + "step": 442 + }, + { + "completion_length": 3081.895896911621, + "epoch": 0.5062857142857143, + "grad_norm": 0.022310299798846245, + "kl": 0.00034332275390625, + "learning_rate": 1.3638909733514452e-07, + "loss": 0.0, + "reward": 0.271579097956419, + "reward_std": 0.840357281267643, + "rewards/cosine_scaled_reward": -0.02046043984591961, + "rewards/format_reward": 0.31250000186264515, + "step": 443 + }, + { + "completion_length": 2853.8333587646484, + "epoch": 0.5074285714285715, + "grad_norm": 0.024710780009627342, + "kl": 0.00029730796813964844, + "learning_rate": 1.351615817851748e-07, + "loss": 0.0, + "reward": -0.03774651139974594, + "reward_std": 0.6097207479178905, + "rewards/cosine_scaled_reward": -0.175123262219131, + "rewards/format_reward": 0.31250000186264515, + "step": 444 + }, + { + "completion_length": 2816.8125534057617, + "epoch": 0.5085714285714286, + "grad_norm": 0.023254111409187317, + "kl": 0.0003762245178222656, + "learning_rate": 1.3395428487445914e-07, + "loss": 0.0, + "reward": 0.46338549302890897, + "reward_std": 0.5440634004771709, + "rewards/cosine_scaled_reward": -0.05997392535209656, + "rewards/format_reward": 0.5833333414047956, + "step": 445 + }, + { + "completion_length": 2824.0416946411133, + "epoch": 0.5097142857142857, + "grad_norm": 0.0227351114153862, + "kl": 0.0003020167350769043, + "learning_rate": 1.3276726544494571e-07, + "loss": 0.0, + "reward": 0.1085881874896586, + "reward_std": 0.8252651356160641, + "rewards/cosine_scaled_reward": -0.13320591230876744, + "rewards/format_reward": 0.3750000037252903, + "step": 446 + }, + { + "completion_length": 1687.4791831970215, + "epoch": 0.5108571428571429, + "grad_norm": 0.03260977193713188, + "kl": 0.00029033422470092773, + "learning_rate": 1.316005813502869e-07, + "loss": 0.0, + "reward": 0.66987594217062, + "reward_std": 0.68526791036129, + "rewards/cosine_scaled_reward": -0.05047871172428131, + "rewards/format_reward": 0.7708333395421505, + "step": 447 + }, + { + "completion_length": 1887.5000305175781, + "epoch": 0.512, + "grad_norm": 0.03330305963754654, + "kl": 0.0002282261848449707, + "learning_rate": 1.3045428945301953e-07, + "loss": 0.0, + "reward": 0.6945083662867546, + "reward_std": 0.6089707408100367, + "rewards/cosine_scaled_reward": 0.013920823112130165, + "rewards/format_reward": 0.6666666679084301, + "step": 448 + }, + { + "completion_length": 2491.375026702881, + "epoch": 0.5131428571428571, + "grad_norm": 0.02716596983373165, + "kl": 0.00034224987030029297, + "learning_rate": 1.2932844562179352e-07, + "loss": 0.0, + "reward": 0.04862409457564354, + "reward_std": 0.44541748240590096, + "rewards/cosine_scaled_reward": -0.18402129039168358, + "rewards/format_reward": 0.4166666679084301, + "step": 449 + }, + { + "completion_length": 2376.3333702087402, + "epoch": 0.5142857142857142, + "grad_norm": 0.026498140767216682, + "kl": 0.000276029109954834, + "learning_rate": 1.2822310472864885e-07, + "loss": 0.0, + "reward": 0.45986196398735046, + "reward_std": 0.5138499777531251, + "rewards/cosine_scaled_reward": -0.009652364067733288, + "rewards/format_reward": 0.4791666679084301, + "step": 450 + }, + { + "completion_length": 2555.812526702881, + "epoch": 0.5154285714285715, + "grad_norm": 0.03134075179696083, + "kl": 0.00034427642822265625, + "learning_rate": 1.2713832064634125e-07, + "loss": 0.0, + "reward": 0.52835633745417, + "reward_std": 0.5414374638348818, + "rewards/cosine_scaled_reward": -0.017071835696697235, + "rewards/format_reward": 0.5625000055879354, + "step": 451 + }, + { + "completion_length": 2659.3542098999023, + "epoch": 0.5165714285714286, + "grad_norm": 0.025225255638360977, + "kl": 0.00030180811882019043, + "learning_rate": 1.260741462457165e-07, + "loss": 0.0, + "reward": 0.6744653210043907, + "reward_std": 0.7822801172733307, + "rewards/cosine_scaled_reward": 0.06639931770041585, + "rewards/format_reward": 0.5416666716337204, + "step": 452 + }, + { + "completion_length": 2583.979259490967, + "epoch": 0.5177142857142857, + "grad_norm": 0.0343073271214962, + "kl": 0.0003584623336791992, + "learning_rate": 1.2503063339313356e-07, + "loss": 0.0, + "reward": 0.6048378571867943, + "reward_std": 0.8740231655538082, + "rewards/cosine_scaled_reward": 0.05241893231868744, + "rewards/format_reward": 0.5000000055879354, + "step": 453 + }, + { + "completion_length": 2162.4167098999023, + "epoch": 0.5188571428571429, + "grad_norm": 0.024462906643748283, + "kl": 0.0002703070640563965, + "learning_rate": 1.2400783294793668e-07, + "loss": 0.0, + "reward": 0.7111623287200928, + "reward_std": 0.5601445361971855, + "rewards/cosine_scaled_reward": -0.00900217518210411, + "rewards/format_reward": 0.7291666716337204, + "step": 454 + }, + { + "completion_length": 2792.5416831970215, + "epoch": 0.52, + "grad_norm": 0.032766759395599365, + "kl": 0.00035133957862854004, + "learning_rate": 1.2300579475997657e-07, + "loss": 0.0, + "reward": -0.10949165653437376, + "reward_std": 0.4895745702087879, + "rewards/cosine_scaled_reward": -0.26307916827499866, + "rewards/format_reward": 0.4166666716337204, + "step": 455 + }, + { + "completion_length": 3024.1875228881836, + "epoch": 0.5211428571428571, + "grad_norm": 0.02690344676375389, + "kl": 0.00028765201568603516, + "learning_rate": 1.220245676671809e-07, + "loss": 0.0, + "reward": 0.023419101489707828, + "reward_std": 0.571003105957061, + "rewards/cosine_scaled_reward": -0.1549571119248867, + "rewards/format_reward": 0.3333333358168602, + "step": 456 + }, + { + "completion_length": 2981.645881652832, + "epoch": 0.5222857142857142, + "grad_norm": 0.03079189360141754, + "kl": 0.0004329681396484375, + "learning_rate": 1.2106419949317388e-07, + "loss": 0.0, + "reward": 0.26157396100461483, + "reward_std": 0.710116732865572, + "rewards/cosine_scaled_reward": -0.046296343207359314, + "rewards/format_reward": 0.3541666679084301, + "step": 457 + }, + { + "completion_length": 2113.458354949951, + "epoch": 0.5234285714285715, + "grad_norm": 0.03327843174338341, + "kl": 0.00027066469192504883, + "learning_rate": 1.2012473704494537e-07, + "loss": 0.0, + "reward": 0.6744469236582518, + "reward_std": 0.7916180063039064, + "rewards/cosine_scaled_reward": 0.024723445996642113, + "rewards/format_reward": 0.6250000093132257, + "step": 458 + }, + { + "completion_length": 1241.8541870117188, + "epoch": 0.5245714285714286, + "grad_norm": 0.03587225452065468, + "kl": 0.00023978948593139648, + "learning_rate": 1.1920622611056974e-07, + "loss": 0.0, + "reward": 1.3831844218075275, + "reward_std": 0.652434827759862, + "rewards/cosine_scaled_reward": 0.2540921785403043, + "rewards/format_reward": 0.875, + "step": 459 + }, + { + "completion_length": 2897.6250610351562, + "epoch": 0.5257142857142857, + "grad_norm": 0.023615367710590363, + "kl": 0.0003662109375, + "learning_rate": 1.1830871145697412e-07, + "loss": 0.0, + "reward": 0.6960660554468632, + "reward_std": 0.8808310199528933, + "rewards/cosine_scaled_reward": 0.10844967514276505, + "rewards/format_reward": 0.4791666716337204, + "step": 460 + }, + { + "completion_length": 2998.562545776367, + "epoch": 0.5268571428571428, + "grad_norm": 0.021689005196094513, + "kl": 0.0003491640090942383, + "learning_rate": 1.1743223682775649e-07, + "loss": 0.0, + "reward": 0.4467354565858841, + "reward_std": 0.8461587205529213, + "rewards/cosine_scaled_reward": 0.046284390380606055, + "rewards/format_reward": 0.3541666753590107, + "step": 461 + }, + { + "completion_length": 2987.208335876465, + "epoch": 0.528, + "grad_norm": 0.027593903243541718, + "kl": 0.0003991127014160156, + "learning_rate": 1.1657684494105386e-07, + "loss": 0.0, + "reward": -0.17366999201476574, + "reward_std": 0.5358176417648792, + "rewards/cosine_scaled_reward": -0.19100166484713554, + "rewards/format_reward": 0.2083333432674408, + "step": 462 + }, + { + "completion_length": 2619.4375610351562, + "epoch": 0.5291428571428571, + "grad_norm": 0.020383333787322044, + "kl": 0.0002516806125640869, + "learning_rate": 1.1574257748745986e-07, + "loss": 0.0, + "reward": 0.5960872750729322, + "reward_std": 0.5420881155878305, + "rewards/cosine_scaled_reward": 0.07929362449795008, + "rewards/format_reward": 0.4375000037252903, + "step": 463 + }, + { + "completion_length": 1739.2500076293945, + "epoch": 0.5302857142857142, + "grad_norm": 0.03312518447637558, + "kl": 0.0002790689468383789, + "learning_rate": 1.1492947512799328e-07, + "loss": 0.0, + "reward": 0.8862170621287078, + "reward_std": 0.4330704230815172, + "rewards/cosine_scaled_reward": 0.07852520421147346, + "rewards/format_reward": 0.7291666679084301, + "step": 464 + }, + { + "completion_length": 2631.979232788086, + "epoch": 0.5314285714285715, + "grad_norm": 0.028379030525684357, + "kl": 0.00039136409759521484, + "learning_rate": 1.1413757749211602e-07, + "loss": 0.0, + "reward": 0.547543827444315, + "reward_std": 1.127050258219242, + "rewards/cosine_scaled_reward": -0.017894762102514505, + "rewards/format_reward": 0.5833333414047956, + "step": 465 + }, + { + "completion_length": 3075.208335876465, + "epoch": 0.5325714285714286, + "grad_norm": 0.022313648834824562, + "kl": 0.00036776065826416016, + "learning_rate": 1.1336692317580158e-07, + "loss": 0.0, + "reward": 0.19751616939902306, + "reward_std": 0.7597125731408596, + "rewards/cosine_scaled_reward": -0.04707525676349178, + "rewards/format_reward": 0.2916666716337204, + "step": 466 + }, + { + "completion_length": 2750.958354949951, + "epoch": 0.5337142857142857, + "grad_norm": 0.02687336690723896, + "kl": 0.0003802776336669922, + "learning_rate": 1.1261754973965422e-07, + "loss": 0.0, + "reward": 0.6484562270343304, + "reward_std": 0.9428794495761395, + "rewards/cosine_scaled_reward": 0.07422811887226999, + "rewards/format_reward": 0.5000000074505806, + "step": 467 + }, + { + "completion_length": 2817.1666984558105, + "epoch": 0.5348571428571428, + "grad_norm": 0.02439255081117153, + "kl": 0.00035244226455688477, + "learning_rate": 1.1188949370707787e-07, + "loss": 0.0, + "reward": 0.07247266173362732, + "reward_std": 0.4720825038384646, + "rewards/cosine_scaled_reward": -0.12001369334757328, + "rewards/format_reward": 0.3125, + "step": 468 + }, + { + "completion_length": 2571.729202270508, + "epoch": 0.536, + "grad_norm": 0.030684776604175568, + "kl": 0.00042176246643066406, + "learning_rate": 1.1118279056249653e-07, + "loss": 0.0, + "reward": 0.2719057723879814, + "reward_std": 0.8036453519016504, + "rewards/cosine_scaled_reward": -0.05154711566865444, + "rewards/format_reward": 0.3750000074505806, + "step": 469 + }, + { + "completion_length": 2709.229217529297, + "epoch": 0.5371428571428571, + "grad_norm": 0.022495390847325325, + "kl": 0.00028634071350097656, + "learning_rate": 1.1049747474962444e-07, + "loss": 0.0, + "reward": 0.35282724909484386, + "reward_std": 0.6710633486509323, + "rewards/cosine_scaled_reward": -0.10483637941069901, + "rewards/format_reward": 0.5625000149011612, + "step": 470 + }, + { + "completion_length": 2807.5833587646484, + "epoch": 0.5382857142857143, + "grad_norm": 0.021343547850847244, + "kl": 0.00029522180557250977, + "learning_rate": 1.0983357966978745e-07, + "loss": 0.0, + "reward": 0.1727424543350935, + "reward_std": 0.5023133680224419, + "rewards/cosine_scaled_reward": -0.08029545284807682, + "rewards/format_reward": 0.3333333358168602, + "step": 471 + }, + { + "completion_length": 2692.979202270508, + "epoch": 0.5394285714285715, + "grad_norm": 0.021070998162031174, + "kl": 0.0003638267517089844, + "learning_rate": 1.0919113768029517e-07, + "loss": 0.0, + "reward": 0.23685874231159687, + "reward_std": 0.6326540801674128, + "rewards/cosine_scaled_reward": -0.12115396093577147, + "rewards/format_reward": 0.47916667349636555, + "step": 472 + }, + { + "completion_length": 2968.833366394043, + "epoch": 0.5405714285714286, + "grad_norm": 0.025542479008436203, + "kl": 0.0003510713577270508, + "learning_rate": 1.0857018009286381e-07, + "loss": 0.0, + "reward": 0.5230726413428783, + "reward_std": 0.677385538816452, + "rewards/cosine_scaled_reward": 0.06361966766417027, + "rewards/format_reward": 0.3958333395421505, + "step": 473 + }, + { + "completion_length": 2142.437545776367, + "epoch": 0.5417142857142857, + "grad_norm": 0.026798170059919357, + "kl": 0.00038617849349975586, + "learning_rate": 1.0797073717209013e-07, + "loss": 0.0, + "reward": 1.0524125322699547, + "reward_std": 0.6080759838223457, + "rewards/cosine_scaled_reward": 0.23453958705067635, + "rewards/format_reward": 0.5833333395421505, + "step": 474 + }, + { + "completion_length": 2133.979179382324, + "epoch": 0.5428571428571428, + "grad_norm": 0.026474615558981895, + "kl": 0.0002849102020263672, + "learning_rate": 1.0739283813397639e-07, + "loss": 0.0, + "reward": 1.4010358676314354, + "reward_std": 0.9220043309032917, + "rewards/cosine_scaled_reward": 0.2838512365706265, + "rewards/format_reward": 0.8333333358168602, + "step": 475 + }, + { + "completion_length": 2235.916702270508, + "epoch": 0.544, + "grad_norm": 0.02376784197986126, + "kl": 0.0003908872604370117, + "learning_rate": 1.068365111445064e-07, + "loss": 0.0, + "reward": 1.4387648329138756, + "reward_std": 1.0878624990582466, + "rewards/cosine_scaled_reward": 0.3339657662436366, + "rewards/format_reward": 0.7708333507180214, + "step": 476 + }, + { + "completion_length": 1504.1667022705078, + "epoch": 0.5451428571428572, + "grad_norm": 0.031137563288211823, + "kl": 0.00024572014808654785, + "learning_rate": 1.063017833182728e-07, + "loss": 0.0, + "reward": 1.313527725636959, + "reward_std": 0.6671716086566448, + "rewards/cosine_scaled_reward": 0.22968053398653865, + "rewards/format_reward": 0.8541666716337204, + "step": 477 + }, + { + "completion_length": 2789.708366394043, + "epoch": 0.5462857142857143, + "grad_norm": 0.028890853747725487, + "kl": 0.00031247735023498535, + "learning_rate": 1.0578868071715544e-07, + "loss": 0.0, + "reward": 0.7100160159170628, + "reward_std": 0.7924649901688099, + "rewards/cosine_scaled_reward": 0.08417466329410672, + "rewards/format_reward": 0.5416666716337204, + "step": 478 + }, + { + "completion_length": 2903.416702270508, + "epoch": 0.5474285714285714, + "grad_norm": 0.025586150586605072, + "kl": 0.00043582916259765625, + "learning_rate": 1.0529722834905125e-07, + "loss": 0.0, + "reward": 0.32888744259253144, + "reward_std": 0.7015850022435188, + "rewards/cosine_scaled_reward": -0.06472294870764017, + "rewards/format_reward": 0.45833334513008595, + "step": 479 + }, + { + "completion_length": 2397.000045776367, + "epoch": 0.5485714285714286, + "grad_norm": 0.029168743640184402, + "kl": 0.00034499168395996094, + "learning_rate": 1.0482745016665526e-07, + "loss": 0.0, + "reward": 0.3047554672230035, + "reward_std": 0.6797374170273542, + "rewards/cosine_scaled_reward": -0.11845559580251575, + "rewards/format_reward": 0.5416666734963655, + "step": 480 + }, + { + "completion_length": 2620.979217529297, + "epoch": 0.5497142857142857, + "grad_norm": 0.018642256036400795, + "kl": 0.00029289722442626953, + "learning_rate": 1.0437936906629334e-07, + "loss": 0.0, + "reward": 0.34190886095166206, + "reward_std": 0.49963630735874176, + "rewards/cosine_scaled_reward": -0.17279557418078184, + "rewards/format_reward": 0.6875000055879354, + "step": 481 + }, + { + "completion_length": 2566.8333587646484, + "epoch": 0.5508571428571428, + "grad_norm": 0.03212100639939308, + "kl": 0.00039565563201904297, + "learning_rate": 1.0395300688680625e-07, + "loss": 0.0, + "reward": 0.8112224619835615, + "reward_std": 0.8934317454695702, + "rewards/cosine_scaled_reward": 0.1556112226098776, + "rewards/format_reward": 0.5000000037252903, + "step": 482 + }, + { + "completion_length": 2690.5833892822266, + "epoch": 0.552, + "grad_norm": 0.02576862834393978, + "kl": 0.00036197900772094727, + "learning_rate": 1.0354838440848501e-07, + "loss": 0.0, + "reward": 0.5433402359485626, + "reward_std": 0.7418918535113335, + "rewards/cosine_scaled_reward": -0.04082988388836384, + "rewards/format_reward": 0.625, + "step": 483 + }, + { + "completion_length": 2239.270881652832, + "epoch": 0.5531428571428572, + "grad_norm": 0.02764633297920227, + "kl": 0.0002956390380859375, + "learning_rate": 1.0316552135205837e-07, + "loss": 0.0, + "reward": 0.9058556277304888, + "reward_std": 0.6842145500704646, + "rewards/cosine_scaled_reward": 0.16126114130020142, + "rewards/format_reward": 0.5833333432674408, + "step": 484 + }, + { + "completion_length": 1729.1667022705078, + "epoch": 0.5542857142857143, + "grad_norm": 0.032674845308065414, + "kl": 0.00025451183319091797, + "learning_rate": 1.0280443637773163e-07, + "loss": 0.0, + "reward": 0.7097102329134941, + "reward_std": 0.5658861342817545, + "rewards/cosine_scaled_reward": -0.020144885405898094, + "rewards/format_reward": 0.7500000055879354, + "step": 485 + }, + { + "completion_length": 1834.5833435058594, + "epoch": 0.5554285714285714, + "grad_norm": 0.035480376332998276, + "kl": 0.0004056096076965332, + "learning_rate": 1.0246514708427701e-07, + "loss": 0.0, + "reward": 0.5227991119027138, + "reward_std": 0.5087759112939239, + "rewards/cosine_scaled_reward": -0.040683780796825886, + "rewards/format_reward": 0.6041666716337204, + "step": 486 + }, + { + "completion_length": 1802.9166851043701, + "epoch": 0.5565714285714286, + "grad_norm": 0.042596880346536636, + "kl": 0.0003460049629211426, + "learning_rate": 1.0214767000817596e-07, + "loss": 0.0, + "reward": 1.4236529916524887, + "reward_std": 0.7221514284610748, + "rewards/cosine_scaled_reward": 0.3472431628033519, + "rewards/format_reward": 0.7291666679084301, + "step": 487 + }, + { + "completion_length": 2004.6666679382324, + "epoch": 0.5577142857142857, + "grad_norm": 0.026572274044156075, + "kl": 0.0002899765968322754, + "learning_rate": 1.0185202062281336e-07, + "loss": 0.0, + "reward": 0.3370821550488472, + "reward_std": 0.49599855951964855, + "rewards/cosine_scaled_reward": -0.14395895414054394, + "rewards/format_reward": 0.6250000074505806, + "step": 488 + }, + { + "completion_length": 3076.958354949951, + "epoch": 0.5588571428571428, + "grad_norm": 0.02607194148004055, + "kl": 0.0003669261932373047, + "learning_rate": 1.0157821333772304e-07, + "loss": 0.0, + "reward": 0.014304319396615028, + "reward_std": 0.7019931301474571, + "rewards/cosine_scaled_reward": -0.11784783285111189, + "rewards/format_reward": 0.2500000037252903, + "step": 489 + }, + { + "completion_length": 1909.958366394043, + "epoch": 0.56, + "grad_norm": 0.03012062795460224, + "kl": 0.00032451748847961426, + "learning_rate": 1.013262614978859e-07, + "loss": 0.0, + "reward": 0.8168525598011911, + "reward_std": 0.5254552476108074, + "rewards/cosine_scaled_reward": 0.012592926621437073, + "rewards/format_reward": 0.7916666716337204, + "step": 490 + }, + { + "completion_length": 2243.708351135254, + "epoch": 0.5611428571428572, + "grad_norm": 0.027276068925857544, + "kl": 0.0002563595771789551, + "learning_rate": 1.0109617738307911e-07, + "loss": 0.0, + "reward": 1.0440415889024734, + "reward_std": 0.801654189825058, + "rewards/cosine_scaled_reward": 0.17827080003917217, + "rewards/format_reward": 0.6875000055879354, + "step": 491 + }, + { + "completion_length": 2608.958396911621, + "epoch": 0.5622857142857143, + "grad_norm": 0.03424741327762604, + "kl": 0.00032341480255126953, + "learning_rate": 1.0088797220727779e-07, + "loss": 0.0, + "reward": 0.48804343002848327, + "reward_std": 0.7422212455421686, + "rewards/cosine_scaled_reward": 0.014855045825242996, + "rewards/format_reward": 0.4583333395421505, + "step": 492 + }, + { + "completion_length": 2090.6250381469727, + "epoch": 0.5634285714285714, + "grad_norm": 0.027274034917354584, + "kl": 0.00032576918601989746, + "learning_rate": 1.0070165611810855e-07, + "loss": 0.0, + "reward": 0.814801562577486, + "reward_std": 0.9762416146695614, + "rewards/cosine_scaled_reward": 0.021984107792377472, + "rewards/format_reward": 0.7708333414047956, + "step": 493 + }, + { + "completion_length": 1355.145866394043, + "epoch": 0.5645714285714286, + "grad_norm": 0.0340682789683342, + "kl": 0.0002550482749938965, + "learning_rate": 1.005372381963547e-07, + "loss": 0.0, + "reward": 1.5873138904571533, + "reward_std": 0.8576665632426739, + "rewards/cosine_scaled_reward": 0.30407360196113586, + "rewards/format_reward": 0.9791666716337204, + "step": 494 + }, + { + "completion_length": 2332.6041946411133, + "epoch": 0.5657142857142857, + "grad_norm": 0.027515675872564316, + "kl": 0.0003358125686645508, + "learning_rate": 1.0039472645551372e-07, + "loss": 0.0, + "reward": 0.4851825125515461, + "reward_std": 0.766112394630909, + "rewards/cosine_scaled_reward": -0.017825426533818245, + "rewards/format_reward": 0.5208333395421505, + "step": 495 + }, + { + "completion_length": 1843.9792137145996, + "epoch": 0.5668571428571428, + "grad_norm": 0.03946586698293686, + "kl": 0.00033032894134521484, + "learning_rate": 1.002741278414069e-07, + "loss": 0.0, + "reward": 1.2787955980747938, + "reward_std": 0.9207109902054071, + "rewards/cosine_scaled_reward": 0.3060644338838756, + "rewards/format_reward": 0.6666666679084301, + "step": 496 + }, + { + "completion_length": 2187.2917137145996, + "epoch": 0.568, + "grad_norm": 0.029607679694890976, + "kl": 0.00023612380027770996, + "learning_rate": 1.0017544823184055e-07, + "loss": 0.0, + "reward": 1.211494023911655, + "reward_std": 0.6968455417081714, + "rewards/cosine_scaled_reward": 0.2619969863444567, + "rewards/format_reward": 0.6875000111758709, + "step": 497 + }, + { + "completion_length": 2317.7917098999023, + "epoch": 0.5691428571428572, + "grad_norm": 0.025722017511725426, + "kl": 0.0003026127815246582, + "learning_rate": 1.0009869243631952e-07, + "loss": 0.0, + "reward": 0.9396341107785702, + "reward_std": 0.9828709922730923, + "rewards/cosine_scaled_reward": 0.1469003539532423, + "rewards/format_reward": 0.6458333414047956, + "step": 498 + }, + { + "completion_length": 2263.812545776367, + "epoch": 0.5702857142857143, + "grad_norm": 0.0247795432806015, + "kl": 0.00023448467254638672, + "learning_rate": 1.000438641958131e-07, + "loss": 0.0, + "reward": 0.7084082160145044, + "reward_std": 0.8164577055722475, + "rewards/cosine_scaled_reward": 0.041704108007252216, + "rewards/format_reward": 0.6250000111758709, + "step": 499 + }, + { + "completion_length": 2721.2292404174805, + "epoch": 0.5714285714285714, + "grad_norm": 0.02151358313858509, + "kl": 0.000295102596282959, + "learning_rate": 1.0001096618257236e-07, + "loss": 0.0, + "reward": 0.7634283769875765, + "reward_std": 0.8250323310494423, + "rewards/cosine_scaled_reward": 0.11088085174560547, + "rewards/format_reward": 0.5416666734963655, + "step": 500 + }, + { + "epoch": 0.5714285714285714, + "step": 500, + "total_flos": 0.0, + "train_loss": 8.274834573693823e-06, + "train_runtime": 144683.3506, + "train_samples_per_second": 0.166, + "train_steps_per_second": 0.003 + } + ], + "logging_steps": 1, + "max_steps": 500, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 50, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 0.0, + "train_batch_size": 6, + "trial_name": null, + "trial_params": null +}