diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,15042 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "clip_ratio": 0.0, + "completion_length": 451.6458435058594, + "epoch": 0.001, + "grad_norm": 3.0469120263636107, + "kl": 0.0, + "learning_rate": 1e-08, + "loss": -0.0585, + "reward": 1.1093750596046448, + "reward_std": 0.3163445144891739, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 1 + }, + { + "clip_ratio": 0.0, + "completion_length": 440.37501525878906, + "epoch": 0.002, + "grad_norm": 2.655689746041415, + "kl": 0.0, + "learning_rate": 2e-08, + "loss": 0.0377, + "reward": 1.140625, + "reward_std": 0.4682169407606125, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.515625, + "step": 2 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.3541717529297, + "epoch": 0.003, + "grad_norm": 2.6777296148152496, + "kl": 0.00014400482177734375, + "learning_rate": 3e-08, + "loss": 0.0133, + "reward": 1.2395833730697632, + "reward_std": 0.47577761113643646, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5312500298023224, + "step": 3 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.25001525878906, + "epoch": 0.004, + "grad_norm": 2.5137815072466263, + "kl": 0.00014829635620117188, + "learning_rate": 4e-08, + "loss": 0.008, + "reward": 1.1250000596046448, + "reward_std": 0.2899996042251587, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 4 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.5208435058594, + "epoch": 0.005, + "grad_norm": 2.764883600981797, + "kl": 0.0001773834228515625, + "learning_rate": 5e-08, + "loss": 0.0064, + "reward": 0.9375000596046448, + "reward_std": 0.4112800657749176, + "rewards/accuracy_reward": 0.4375000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 5 + }, + { + "clip_ratio": 0.0, + "completion_length": 485.89585876464844, + "epoch": 0.006, + "grad_norm": 2.2184862306289843, + "kl": 0.00014925003051757812, + "learning_rate": 6e-08, + "loss": 0.0465, + "reward": 1.3229167461395264, + "reward_std": 0.28646042197942734, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 6 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.4791717529297, + "epoch": 0.007, + "grad_norm": 2.279756981941202, + "kl": 0.0001544952392578125, + "learning_rate": 7e-08, + "loss": 0.0142, + "reward": 1.1770833432674408, + "reward_std": 0.22131992876529694, + "rewards/accuracy_reward": 0.6666666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 7 + }, + { + "clip_ratio": 0.0, + "completion_length": 432.7291717529297, + "epoch": 0.008, + "grad_norm": 2.4871182111101153, + "kl": 0.00017023086547851562, + "learning_rate": 8e-08, + "loss": -0.0215, + "reward": 1.1458333730697632, + "reward_std": 0.31117893755435944, + "rewards/accuracy_reward": 0.6250000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 8 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.0, + "epoch": 0.009, + "grad_norm": 2.569929089471837, + "kl": 0.00015592575073242188, + "learning_rate": 9e-08, + "loss": 0.0395, + "reward": 1.2187500596046448, + "reward_std": 0.3326523005962372, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 9 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.0833435058594, + "epoch": 0.01, + "grad_norm": 2.5888318231530376, + "kl": 0.00014209747314453125, + "learning_rate": 1e-07, + "loss": 0.0213, + "reward": 1.2916667461395264, + "reward_std": 0.4207582473754883, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 10 + }, + { + "clip_ratio": 0.0, + "completion_length": 445.75, + "epoch": 0.011, + "grad_norm": 2.6569919846004244, + "kl": 0.0001659393310546875, + "learning_rate": 1.0999999999999999e-07, + "loss": 0.0603, + "reward": 1.1145833432674408, + "reward_std": 0.39135053753852844, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 11 + }, + { + "clip_ratio": 0.0, + "completion_length": 446.75, + "epoch": 0.012, + "grad_norm": 2.931889194243234, + "kl": 0.00019550323486328125, + "learning_rate": 1.2e-07, + "loss": -0.0752, + "reward": 1.2552083730697632, + "reward_std": 0.3132514953613281, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 12 + }, + { + "clip_ratio": 0.0, + "completion_length": 494.1458435058594, + "epoch": 0.013, + "grad_norm": 2.00415050750538, + "kl": 0.00014925003051757812, + "learning_rate": 1.3e-07, + "loss": -0.0219, + "reward": 1.4114583730697632, + "reward_std": 0.28175655752420425, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5156250298023224, + "step": 13 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.1666717529297, + "epoch": 0.014, + "grad_norm": 2.6074800631566832, + "kl": 0.00015974044799804688, + "learning_rate": 1.4e-07, + "loss": 0.0006, + "reward": 1.0677083730697632, + "reward_std": 0.30128014087677, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 14 + }, + { + "clip_ratio": 0.0, + "completion_length": 429.3125, + "epoch": 0.015, + "grad_norm": 1.9696832446572003, + "kl": 0.00016355514526367188, + "learning_rate": 1.5e-07, + "loss": 0.0453, + "reward": 1.3125, + "reward_std": 0.2436249926686287, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 15 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.4583435058594, + "epoch": 0.016, + "grad_norm": 2.40608728487424, + "kl": 0.00013494491577148438, + "learning_rate": 1.6e-07, + "loss": -0.0023, + "reward": 1.2135417461395264, + "reward_std": 0.38365595042705536, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 16 + }, + { + "clip_ratio": 0.0, + "completion_length": 456.81251525878906, + "epoch": 0.017, + "grad_norm": 2.9064769913617954, + "kl": 0.00015544891357421875, + "learning_rate": 1.7000000000000001e-07, + "loss": 0.0178, + "reward": 1.0208333730697632, + "reward_std": 0.32381847500801086, + "rewards/accuracy_reward": 0.5, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333730697632, + "step": 17 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.50001525878906, + "epoch": 0.018, + "grad_norm": 2.7065281106248147, + "kl": 0.00014734268188476562, + "learning_rate": 1.8e-07, + "loss": -0.0132, + "reward": 1.2135417461395264, + "reward_std": 0.24544557929039001, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 18 + }, + { + "clip_ratio": 0.0, + "completion_length": 509.00001525878906, + "epoch": 0.019, + "grad_norm": 2.559307346193476, + "kl": 0.00016450881958007812, + "learning_rate": 1.8999999999999998e-07, + "loss": -0.0188, + "reward": 1.1718750596046448, + "reward_std": 0.4405389875173569, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 19 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.9791717529297, + "epoch": 0.02, + "grad_norm": 2.512056455278375, + "kl": 0.00015354156494140625, + "learning_rate": 2e-07, + "loss": -0.0015, + "reward": 1.1250000596046448, + "reward_std": 0.45455072820186615, + "rewards/accuracy_reward": 0.6250000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 20 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.0416717529297, + "epoch": 0.021, + "grad_norm": 2.730428025307325, + "kl": 0.00012826919555664062, + "learning_rate": 2.0999999999999997e-07, + "loss": -0.0113, + "reward": 1.3333333730697632, + "reward_std": 0.4157644957304001, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 21 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.0208435058594, + "epoch": 0.022, + "grad_norm": 2.711172676108638, + "kl": 0.00017118453979492188, + "learning_rate": 2.1999999999999998e-07, + "loss": 0.0797, + "reward": 1.4166667461395264, + "reward_std": 0.2304430827498436, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 22 + }, + { + "clip_ratio": 0.0, + "completion_length": 393.3958435058594, + "epoch": 0.023, + "grad_norm": 2.2635175482113086, + "kl": 0.00015163421630859375, + "learning_rate": 2.3e-07, + "loss": 0.0408, + "reward": 1.2395833730697632, + "reward_std": 0.24646349996328354, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 23 + }, + { + "clip_ratio": 0.0, + "completion_length": 462.8958435058594, + "epoch": 0.024, + "grad_norm": 2.6707402281932215, + "kl": 0.00017690658569335938, + "learning_rate": 2.4e-07, + "loss": 0.0458, + "reward": 1.3177083730697632, + "reward_std": 0.37440434098243713, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 24 + }, + { + "clip_ratio": 0.0, + "completion_length": 387.4791717529297, + "epoch": 0.025, + "grad_norm": 2.609454999030999, + "kl": 0.00012540817260742188, + "learning_rate": 2.5e-07, + "loss": 0.0407, + "reward": 1.4270833730697632, + "reward_std": 0.27773431688547134, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 25 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.35418701171875, + "epoch": 0.026, + "grad_norm": 2.9850647698943598, + "kl": 0.00015974044799804688, + "learning_rate": 2.6e-07, + "loss": 0.0169, + "reward": 1.3541667461395264, + "reward_std": 0.3558124005794525, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333730697632, + "step": 26 + }, + { + "clip_ratio": 0.0, + "completion_length": 441.3958435058594, + "epoch": 0.027, + "grad_norm": 1.8743396197191182, + "kl": 0.00015687942504882812, + "learning_rate": 2.7e-07, + "loss": 0.0016, + "reward": 1.296875, + "reward_std": 0.2178530991077423, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 27 + }, + { + "clip_ratio": 0.0, + "completion_length": 448.5833435058594, + "epoch": 0.028, + "grad_norm": 2.3474333126640023, + "kl": 0.00017499923706054688, + "learning_rate": 2.8e-07, + "loss": 0.0327, + "reward": 1.1718750596046448, + "reward_std": 0.3373970687389374, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 28 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.72918701171875, + "epoch": 0.029, + "grad_norm": 2.92517651378256, + "kl": 0.00015926361083984375, + "learning_rate": 2.9e-07, + "loss": 0.0381, + "reward": 1.2552083730697632, + "reward_std": 0.4495217353105545, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 29 + }, + { + "clip_ratio": 0.0, + "completion_length": 404.79168701171875, + "epoch": 0.03, + "grad_norm": 1.44020398523571, + "kl": 0.00015211105346679688, + "learning_rate": 3e-07, + "loss": 0.0281, + "reward": 1.125, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 30 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.7083435058594, + "epoch": 0.031, + "grad_norm": 2.4449797370262556, + "kl": 0.0001583099365234375, + "learning_rate": 3.1e-07, + "loss": -0.0111, + "reward": 1.1197916865348816, + "reward_std": 0.37443745136260986, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5156250298023224, + "step": 31 + }, + { + "clip_ratio": 0.0, + "completion_length": 442.1666717529297, + "epoch": 0.032, + "grad_norm": 2.3212145443145085, + "kl": 0.00015687942504882812, + "learning_rate": 3.2e-07, + "loss": -0.0285, + "reward": 1.15625, + "reward_std": 0.32524681836366653, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 32 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.2916717529297, + "epoch": 0.033, + "grad_norm": 2.6677168481139457, + "kl": 0.00014972686767578125, + "learning_rate": 3.3e-07, + "loss": 0.0347, + "reward": 1.359375, + "reward_std": 0.29683054983615875, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 33 + }, + { + "clip_ratio": 0.0, + "completion_length": 420.375, + "epoch": 0.034, + "grad_norm": 2.025430325087902, + "kl": 0.00016021728515625, + "learning_rate": 3.4000000000000003e-07, + "loss": -0.0484, + "reward": 1.234375, + "reward_std": 0.18752333521842957, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 34 + }, + { + "clip_ratio": 0.0, + "completion_length": 408.79168701171875, + "epoch": 0.035, + "grad_norm": 3.110884286809781, + "kl": 0.00015544891357421875, + "learning_rate": 3.5e-07, + "loss": 0.0464, + "reward": 1.1770833730697632, + "reward_std": 0.4579962342977524, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 35 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.3541717529297, + "epoch": 0.036, + "grad_norm": 2.444303300389994, + "kl": 0.00018548965454101562, + "learning_rate": 3.6e-07, + "loss": -0.0397, + "reward": 1.2447917461395264, + "reward_std": 0.29017117619514465, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.515625, + "step": 36 + }, + { + "clip_ratio": 0.0, + "completion_length": 456.0208435058594, + "epoch": 0.037, + "grad_norm": 2.8517734720401773, + "kl": 0.00019359588623046875, + "learning_rate": 3.7e-07, + "loss": 0.0151, + "reward": 1.453125, + "reward_std": 0.3240216076374054, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5364583730697632, + "step": 37 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.3541717529297, + "epoch": 0.038, + "grad_norm": 2.7513322450048086, + "kl": 0.000164031982421875, + "learning_rate": 3.7999999999999996e-07, + "loss": 0.0306, + "reward": 1.046875, + "reward_std": 0.4578232765197754, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 38 + }, + { + "clip_ratio": 0.0, + "completion_length": 422.2291717529297, + "epoch": 0.039, + "grad_norm": 2.2289364216881307, + "kl": 0.00017261505126953125, + "learning_rate": 3.8999999999999997e-07, + "loss": -0.0232, + "reward": 1.4427083730697632, + "reward_std": 0.24567216634750366, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 39 + }, + { + "clip_ratio": 0.0, + "completion_length": 442.9583435058594, + "epoch": 0.04, + "grad_norm": 2.4459574573216525, + "kl": 0.0002002716064453125, + "learning_rate": 4e-07, + "loss": -0.0124, + "reward": 1.4166666865348816, + "reward_std": 0.31381872296333313, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333730697632, + "step": 40 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.3333435058594, + "epoch": 0.041, + "grad_norm": 2.5328860954570365, + "kl": 0.00021409988403320312, + "learning_rate": 4.0999999999999994e-07, + "loss": 0.0051, + "reward": 1.1510416865348816, + "reward_std": 0.44576670229434967, + "rewards/accuracy_reward": 0.645833358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 41 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.7291717529297, + "epoch": 0.042, + "grad_norm": 2.3704618606581556, + "kl": 0.00020265579223632812, + "learning_rate": 4.1999999999999995e-07, + "loss": -0.0278, + "reward": 1.1354166865348816, + "reward_std": 0.3743131458759308, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 42 + }, + { + "clip_ratio": 0.0, + "completion_length": 489.00001525878906, + "epoch": 0.043, + "grad_norm": 2.513538712154315, + "kl": 0.00019693374633789062, + "learning_rate": 4.2999999999999996e-07, + "loss": 0.034, + "reward": 1.2708333730697632, + "reward_std": 0.3412121832370758, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 43 + }, + { + "clip_ratio": 0.0, + "completion_length": 487.0208435058594, + "epoch": 0.044, + "grad_norm": 2.375064364205028, + "kl": 0.0002231597900390625, + "learning_rate": 4.3999999999999997e-07, + "loss": -0.0335, + "reward": 1.0520833730697632, + "reward_std": 0.4231126457452774, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5104166865348816, + "step": 44 + }, + { + "clip_ratio": 0.0, + "completion_length": 426.12501525878906, + "epoch": 0.045, + "grad_norm": 2.5904194710577655, + "kl": 0.000244140625, + "learning_rate": 4.5e-07, + "loss": -0.0468, + "reward": 1.0468750596046448, + "reward_std": 0.31281809508800507, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5052083432674408, + "step": 45 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.4791717529297, + "epoch": 0.046, + "grad_norm": 2.282732157496969, + "kl": 0.000293731689453125, + "learning_rate": 4.6e-07, + "loss": 0.0189, + "reward": 1.25, + "reward_std": 0.3317491039633751, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5416666865348816, + "step": 46 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.56251525878906, + "epoch": 0.047, + "grad_norm": 2.7291290366275534, + "kl": 0.00025844573974609375, + "learning_rate": 4.6999999999999995e-07, + "loss": 0.0256, + "reward": 1.1666666865348816, + "reward_std": 0.37212641537189484, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 47 + }, + { + "clip_ratio": 0.0, + "completion_length": 387.9791717529297, + "epoch": 0.048, + "grad_norm": 2.4166184127335852, + "kl": 0.0002994537353515625, + "learning_rate": 4.8e-07, + "loss": 0.0318, + "reward": 1.2604166865348816, + "reward_std": 0.3299110010266304, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.53125, + "step": 48 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.2916717529297, + "epoch": 0.049, + "grad_norm": 2.525493813031061, + "kl": 0.00030803680419921875, + "learning_rate": 4.9e-07, + "loss": -0.0423, + "reward": 0.8437500298023224, + "reward_std": 0.2982381731271744, + "rewards/accuracy_reward": 0.2916666679084301, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5520833730697632, + "step": 49 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.0208435058594, + "epoch": 0.05, + "grad_norm": 1.8318948101423083, + "kl": 0.00035858154296875, + "learning_rate": 5e-07, + "loss": 0.0307, + "reward": 1.3958333730697632, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5, + "step": 50 + }, + { + "clip_ratio": 0.0, + "completion_length": 407.2083435058594, + "epoch": 0.051, + "grad_norm": 2.7256697070031546, + "kl": 0.0003833770751953125, + "learning_rate": 5.1e-07, + "loss": 0.0402, + "reward": 1.3541667461395264, + "reward_std": 0.346695140004158, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 51 + }, + { + "clip_ratio": 0.0, + "completion_length": 487.3958435058594, + "epoch": 0.052, + "grad_norm": 2.877350462247381, + "kl": 0.00042819976806640625, + "learning_rate": 5.2e-07, + "loss": 0.0166, + "reward": 1.1770833730697632, + "reward_std": 0.42429319024086, + "rewards/accuracy_reward": 0.6250000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5520833432674408, + "step": 52 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.4166717529297, + "epoch": 0.053, + "grad_norm": 3.0118686878979495, + "kl": 0.00055694580078125, + "learning_rate": 5.3e-07, + "loss": 0.0556, + "reward": 1.3072917461395264, + "reward_std": 0.3087276667356491, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5572916865348816, + "step": 53 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.8958435058594, + "epoch": 0.054, + "grad_norm": 2.5300886286528756, + "kl": 0.0006256103515625, + "learning_rate": 5.4e-07, + "loss": -0.1026, + "reward": 1.1822917461395264, + "reward_std": 0.3605181947350502, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5156250298023224, + "step": 54 + }, + { + "clip_ratio": 0.0, + "completion_length": 401.3958435058594, + "epoch": 0.055, + "grad_norm": 2.8124199366223817, + "kl": 0.0008087158203125, + "learning_rate": 5.5e-07, + "loss": -0.0178, + "reward": 1.1302083730697632, + "reward_std": 0.3549676835536957, + "rewards/accuracy_reward": 0.5625000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5677083730697632, + "step": 55 + }, + { + "clip_ratio": 0.0, + "completion_length": 404.25001525878906, + "epoch": 0.056, + "grad_norm": 2.577595024653426, + "kl": 0.0007476806640625, + "learning_rate": 5.6e-07, + "loss": -0.1183, + "reward": 1.5208333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5208333432674408, + "step": 56 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.18751525878906, + "epoch": 0.057, + "grad_norm": 2.730423719759646, + "kl": 0.001117706298828125, + "learning_rate": 5.699999999999999e-07, + "loss": -0.0169, + "reward": 1.0052083730697632, + "reward_std": 0.318894624710083, + "rewards/accuracy_reward": 0.4791666679084301, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5260416865348816, + "step": 57 + }, + { + "clip_ratio": 0.0, + "completion_length": 484.2708435058594, + "epoch": 0.058, + "grad_norm": 2.9609179333018605, + "kl": 0.0012359619140625, + "learning_rate": 5.8e-07, + "loss": 0.0008, + "reward": 1.3333333730697632, + "reward_std": 0.46193382143974304, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5625000298023224, + "step": 58 + }, + { + "clip_ratio": 0.0, + "completion_length": 457.0833435058594, + "epoch": 0.059, + "grad_norm": 2.6071090350630057, + "kl": 0.001129150390625, + "learning_rate": 5.9e-07, + "loss": -0.0464, + "reward": 0.8437500298023224, + "reward_std": 0.37812960147857666, + "rewards/accuracy_reward": 0.2916666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5520833730697632, + "step": 59 + }, + { + "clip_ratio": 0.0, + "completion_length": 490.7708435058594, + "epoch": 0.06, + "grad_norm": 2.5629387063773934, + "kl": 0.001255035400390625, + "learning_rate": 6e-07, + "loss": -0.0507, + "reward": 1.1875000596046448, + "reward_std": 0.3230332285165787, + "rewards/accuracy_reward": 0.6458333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5416666865348816, + "step": 60 + }, + { + "clip_ratio": 0.0, + "completion_length": 445.00001525878906, + "epoch": 0.061, + "grad_norm": 2.8298683120350017, + "kl": 0.001373291015625, + "learning_rate": 6.1e-07, + "loss": 0.0768, + "reward": 1.4062500596046448, + "reward_std": 0.3714013397693634, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5520833432674408, + "step": 61 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.4375, + "epoch": 0.062, + "grad_norm": 3.2356835438310516, + "kl": 0.00164031982421875, + "learning_rate": 6.2e-07, + "loss": 0.0838, + "reward": 1.4635417461395264, + "reward_std": 0.3229318708181381, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5677083730697632, + "step": 62 + }, + { + "clip_ratio": 0.0, + "completion_length": 401.68751525878906, + "epoch": 0.063, + "grad_norm": 2.701273118842741, + "kl": 0.00189208984375, + "learning_rate": 6.3e-07, + "loss": 0.0546, + "reward": 1.5677083730697632, + "reward_std": 0.24152729660272598, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6093750298023224, + "step": 63 + }, + { + "clip_ratio": 0.0, + "completion_length": 381.31251525878906, + "epoch": 0.064, + "grad_norm": 2.785220990507944, + "kl": 0.00252532958984375, + "learning_rate": 6.4e-07, + "loss": 0.047, + "reward": 1.5364583730697632, + "reward_std": 0.19510139524936676, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5572916865348816, + "step": 64 + }, + { + "clip_ratio": 0.0, + "completion_length": 396.2916717529297, + "epoch": 0.065, + "grad_norm": 2.7334299455778894, + "kl": 0.00372314453125, + "learning_rate": 6.5e-07, + "loss": -0.027, + "reward": 1.3125000596046448, + "reward_std": 0.35766707360744476, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6041666865348816, + "step": 65 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.5625, + "epoch": 0.066, + "grad_norm": 2.90337412027861, + "kl": 0.00289154052734375, + "learning_rate": 6.6e-07, + "loss": -0.0296, + "reward": 1.0520833730697632, + "reward_std": 0.28867512941360474, + "rewards/accuracy_reward": 0.5000000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.5520833432674408, + "step": 66 + }, + { + "clip_ratio": 0.0, + "completion_length": 509.1458435058594, + "epoch": 0.067, + "grad_norm": 2.2622909600353247, + "kl": 0.00420379638671875, + "learning_rate": 6.7e-07, + "loss": -0.095, + "reward": 1.2968750596046448, + "reward_std": 0.4231996387243271, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6302083432674408, + "step": 67 + }, + { + "clip_ratio": 0.0, + "completion_length": 394.4166717529297, + "epoch": 0.068, + "grad_norm": 2.8338086432398226, + "kl": 0.005706787109375, + "learning_rate": 6.800000000000001e-07, + "loss": 0.0815, + "reward": 1.7135417461395264, + "reward_std": 0.2652830183506012, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7343750298023224, + "step": 68 + }, + { + "clip_ratio": 0.0, + "completion_length": 529.0416870117188, + "epoch": 0.069, + "grad_norm": 2.348883283897237, + "kl": 0.00640869140625, + "learning_rate": 6.9e-07, + "loss": 0.0721, + "reward": 1.5520833730697632, + "reward_std": 0.39166125655174255, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7187500298023224, + "step": 69 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.8958587646484, + "epoch": 0.07, + "grad_norm": 2.6549281198785017, + "kl": 0.007904052734375, + "learning_rate": 7e-07, + "loss": 0.0391, + "reward": 1.2604167461395264, + "reward_std": 0.42778633534908295, + "rewards/accuracy_reward": 0.5625000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6979166865348816, + "step": 70 + }, + { + "clip_ratio": 0.0, + "completion_length": 439.9791717529297, + "epoch": 0.071, + "grad_norm": 2.7639237072885394, + "kl": 0.01141357421875, + "learning_rate": 7.1e-07, + "loss": -0.0114, + "reward": 1.6302083730697632, + "reward_std": 0.28416091948747635, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6718750298023224, + "step": 71 + }, + { + "clip_ratio": 0.0, + "completion_length": 480.87501525878906, + "epoch": 0.072, + "grad_norm": 2.8974277486768973, + "kl": 0.00982666015625, + "learning_rate": 7.2e-07, + "loss": 0.1087, + "reward": 1.7552083730697632, + "reward_std": 0.29917779564857483, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8177083432674408, + "step": 72 + }, + { + "clip_ratio": 0.0, + "completion_length": 435.2291717529297, + "epoch": 0.073, + "grad_norm": 2.410972251211118, + "kl": 0.01416015625, + "learning_rate": 7.3e-07, + "loss": 0.0276, + "reward": 1.7708333730697632, + "reward_std": 0.2537258267402649, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8125, + "step": 73 + }, + { + "clip_ratio": 0.0, + "completion_length": 426.8333435058594, + "epoch": 0.074, + "grad_norm": 3.106522433918384, + "kl": 0.0172119140625, + "learning_rate": 7.4e-07, + "loss": 0.1609, + "reward": 1.75, + "reward_std": 0.3627951741218567, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8333333432674408, + "step": 74 + }, + { + "clip_ratio": 0.0, + "completion_length": 450.0208435058594, + "epoch": 0.075, + "grad_norm": 3.153004661867398, + "kl": 0.014984130859375, + "learning_rate": 7.5e-07, + "loss": 0.0772, + "reward": 1.6979167461395264, + "reward_std": 0.3426803648471832, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 75 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.93751525878906, + "epoch": 0.076, + "grad_norm": 3.2859708947711757, + "kl": 0.02044677734375, + "learning_rate": 7.599999999999999e-07, + "loss": 0.1016, + "reward": 1.9427083730697632, + "reward_std": 0.12557905912399292, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083730697632, + "step": 76 + }, + { + "clip_ratio": 0.0, + "completion_length": 562.4375305175781, + "epoch": 0.077, + "grad_norm": 2.5628822205386146, + "kl": 0.017974853515625, + "learning_rate": 7.699999999999999e-07, + "loss": 0.139, + "reward": 1.3489583730697632, + "reward_std": 0.4155941307544708, + "rewards/accuracy_reward": 0.4583333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 77 + }, + { + "clip_ratio": 0.0, + "completion_length": 380.3333435058594, + "epoch": 0.078, + "grad_norm": 3.3640871795164458, + "kl": 0.02288818359375, + "learning_rate": 7.799999999999999e-07, + "loss": 0.085, + "reward": 1.7083333730697632, + "reward_std": 0.27923690527677536, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 78 + }, + { + "clip_ratio": 0.0, + "completion_length": 366.43751525878906, + "epoch": 0.079, + "grad_norm": 1.6857006933575684, + "kl": 0.0169677734375, + "learning_rate": 7.9e-07, + "loss": -0.0096, + "reward": 1.8854167461395264, + "reward_std": 0.16481656581163406, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 79 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.81251525878906, + "epoch": 0.08, + "grad_norm": 1.8369083930873726, + "kl": 0.01873779296875, + "learning_rate": 8e-07, + "loss": -0.0024, + "reward": 1.8958333730697632, + "reward_std": 0.21037912368774414, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 80 + }, + { + "clip_ratio": 0.0, + "completion_length": 326.7708435058594, + "epoch": 0.081, + "grad_norm": 7.261870940189173, + "kl": 0.02569580078125, + "learning_rate": 8.1e-07, + "loss": -0.0493, + "reward": 1.6093750596046448, + "reward_std": 0.22657930105924606, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083730697632, + "step": 81 + }, + { + "clip_ratio": 0.0, + "completion_length": 382.68751525878906, + "epoch": 0.082, + "grad_norm": 1.6235926696398257, + "kl": 0.01806640625, + "learning_rate": 8.199999999999999e-07, + "loss": 0.0113, + "reward": 1.7187500596046448, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 82 + }, + { + "clip_ratio": 0.0, + "completion_length": 372.5208435058594, + "epoch": 0.083, + "grad_norm": 0.18552224430097738, + "kl": 0.0159912109375, + "learning_rate": 8.299999999999999e-07, + "loss": 0.0006, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 83 + }, + { + "clip_ratio": 0.0, + "completion_length": 399.1458435058594, + "epoch": 0.084, + "grad_norm": 1.4228905296688426, + "kl": 0.01898193359375, + "learning_rate": 8.399999999999999e-07, + "loss": 0.0013, + "reward": 1.8541666865348816, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 84 + }, + { + "clip_ratio": 0.0, + "completion_length": 437.9166717529297, + "epoch": 0.085, + "grad_norm": 2.387879794360072, + "kl": 0.020111083984375, + "learning_rate": 8.499999999999999e-07, + "loss": 0.2284, + "reward": 1.9479166865348816, + "reward_std": 0.13339676335453987, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833730697632, + "step": 85 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.93751525878906, + "epoch": 0.086, + "grad_norm": 2.2410324569487385, + "kl": 0.0184326171875, + "learning_rate": 8.599999999999999e-07, + "loss": 0.0154, + "reward": 1.6614583730697632, + "reward_std": 0.1835213154554367, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 86 + }, + { + "clip_ratio": 0.0, + "completion_length": 406.5208435058594, + "epoch": 0.087, + "grad_norm": 1.217180883926671, + "kl": 0.01629638671875, + "learning_rate": 8.699999999999999e-07, + "loss": 0.0065, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 87 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.60418701171875, + "epoch": 0.088, + "grad_norm": 2.593549923551898, + "kl": 0.02294921875, + "learning_rate": 8.799999999999999e-07, + "loss": 0.0167, + "reward": 1.7916666865348816, + "reward_std": 0.32399244606494904, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 88 + }, + { + "clip_ratio": 0.0, + "completion_length": 371.9583435058594, + "epoch": 0.089, + "grad_norm": 1.9770861272965166, + "kl": 0.02215576171875, + "learning_rate": 8.9e-07, + "loss": 0.0614, + "reward": 1.8645833730697632, + "reward_std": 0.16664262861013412, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 89 + }, + { + "clip_ratio": 0.0, + "completion_length": 409.87501525878906, + "epoch": 0.09, + "grad_norm": 2.783530222413004, + "kl": 0.0206298828125, + "learning_rate": 9e-07, + "loss": -0.0439, + "reward": 1.4114583730697632, + "reward_std": 0.31871186196804047, + "rewards/accuracy_reward": 0.416666679084301, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 90 + }, + { + "clip_ratio": 0.0, + "completion_length": 403.04168701171875, + "epoch": 0.091, + "grad_norm": 1.5407455230215508, + "kl": 0.01837158203125, + "learning_rate": 9.1e-07, + "loss": 0.016, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 91 + }, + { + "clip_ratio": 0.0, + "completion_length": 502.7083435058594, + "epoch": 0.092, + "grad_norm": 2.0382323917391596, + "kl": 0.0185546875, + "learning_rate": 9.2e-07, + "loss": 0.0754, + "reward": 1.7187500596046448, + "reward_std": 0.3716070353984833, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 92 + }, + { + "clip_ratio": 0.0, + "completion_length": 440.0208435058594, + "epoch": 0.093, + "grad_norm": 1.3899528720974876, + "kl": 0.0194091796875, + "learning_rate": 9.3e-07, + "loss": 0.0246, + "reward": 1.6875, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 93 + }, + { + "clip_ratio": 0.0, + "completion_length": 480.375, + "epoch": 0.094, + "grad_norm": 0.9633234213043935, + "kl": 0.02008056640625, + "learning_rate": 9.399999999999999e-07, + "loss": -0.0384, + "reward": 1.9375, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 94 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.8541717529297, + "epoch": 0.095, + "grad_norm": 2.8878107305036838, + "kl": 0.0238037109375, + "learning_rate": 9.499999999999999e-07, + "loss": 0.0205, + "reward": 1.6875, + "reward_std": 0.31381870806217194, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 95 + }, + { + "clip_ratio": 0.0, + "completion_length": 508.04168701171875, + "epoch": 0.096, + "grad_norm": 2.508355402096065, + "kl": 0.02386474609375, + "learning_rate": 9.6e-07, + "loss": 0.0262, + "reward": 1.6145833730697632, + "reward_std": 0.378067746758461, + "rewards/accuracy_reward": 0.6250000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 96 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.9166717529297, + "epoch": 0.097, + "grad_norm": 1.907623551742255, + "kl": 0.01898193359375, + "learning_rate": 9.7e-07, + "loss": 0.0308, + "reward": 1.8750000596046448, + "reward_std": 0.22040386497974396, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 97 + }, + { + "clip_ratio": 0.0, + "completion_length": 414.5833435058594, + "epoch": 0.098, + "grad_norm": 1.6880791728540803, + "kl": 0.02008056640625, + "learning_rate": 9.8e-07, + "loss": 0.0412, + "reward": 1.6875, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 98 + }, + { + "clip_ratio": 0.0, + "completion_length": 505.6458435058594, + "epoch": 0.099, + "grad_norm": 1.9770671054334987, + "kl": 0.022705078125, + "learning_rate": 9.9e-07, + "loss": 0.0379, + "reward": 1.7291666865348816, + "reward_std": 0.21650634706020355, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 99 + }, + { + "clip_ratio": 0.0, + "completion_length": 424.9583435058594, + "epoch": 0.1, + "grad_norm": 1.8906028255517844, + "kl": 0.0213623046875, + "learning_rate": 1e-06, + "loss": 0.0106, + "reward": 1.9166666865348816, + "reward_std": 0.19462472200393677, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 100 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.60418701171875, + "epoch": 0.101, + "grad_norm": 1.284386257665641, + "kl": 0.02587890625, + "learning_rate": 9.999972584460056e-07, + "loss": 0.0158, + "reward": 1.8958333730697632, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 101 + }, + { + "clip_ratio": 0.0, + "completion_length": 424.5833435058594, + "epoch": 0.102, + "grad_norm": 1.942495880486948, + "kl": 0.028076171875, + "learning_rate": 9.999890338174275e-07, + "loss": 0.0074, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 102 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.56251525878906, + "epoch": 0.103, + "grad_norm": 1.8427160999583247, + "kl": 0.0279541015625, + "learning_rate": 9.999753262144804e-07, + "loss": 0.0017, + "reward": 1.8854167461395264, + "reward_std": 0.20985443890094757, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 103 + }, + { + "clip_ratio": 0.0, + "completion_length": 433.2916717529297, + "epoch": 0.104, + "grad_norm": 1.9574788671578813, + "kl": 0.02099609375, + "learning_rate": 9.999561358041868e-07, + "loss": 0.0284, + "reward": 1.7916666865348816, + "reward_std": 0.22040385007858276, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 104 + }, + { + "clip_ratio": 0.0, + "completion_length": 506.2500305175781, + "epoch": 0.105, + "grad_norm": 1.8385105848779988, + "kl": 0.03076171875, + "learning_rate": 9.99931462820376e-07, + "loss": 0.0522, + "reward": 1.9062500596046448, + "reward_std": 0.18471086025238037, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 105 + }, + { + "clip_ratio": 0.0, + "completion_length": 358.375, + "epoch": 0.106, + "grad_norm": 2.0869957030027124, + "kl": 0.03564453125, + "learning_rate": 9.999013075636804e-07, + "loss": -0.0253, + "reward": 1.6927083730697632, + "reward_std": 0.0819607600569725, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 106 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.5833435058594, + "epoch": 0.107, + "grad_norm": 1.7214935847958999, + "kl": 0.02197265625, + "learning_rate": 9.998656704015323e-07, + "loss": 0.0274, + "reward": 1.9583333730697632, + "reward_std": 0.12082496285438538, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 107 + }, + { + "clip_ratio": 0.0, + "completion_length": 424.7708435058594, + "epoch": 0.108, + "grad_norm": 2.9526026618703662, + "kl": 0.02996826171875, + "learning_rate": 9.998245517681593e-07, + "loss": -0.0762, + "reward": 1.5416666865348816, + "reward_std": 0.19702786207199097, + "rewards/accuracy_reward": 0.5833333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 108 + }, + { + "clip_ratio": 0.0, + "completion_length": 416.4583435058594, + "epoch": 0.109, + "grad_norm": 1.3140882663370017, + "kl": 0.0238037109375, + "learning_rate": 9.997779521645791e-07, + "loss": 0.0102, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 109 + }, + { + "clip_ratio": 0.0, + "completion_length": 493.9791717529297, + "epoch": 0.11, + "grad_norm": 1.513545322724992, + "kl": 0.02520751953125, + "learning_rate": 9.997258721585931e-07, + "loss": 0.011, + "reward": 1.625, + "reward_std": 0.22040385007858276, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 110 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.3958435058594, + "epoch": 0.111, + "grad_norm": 2.3692930782569643, + "kl": 0.03082275390625, + "learning_rate": 9.996683123847795e-07, + "loss": 0.0319, + "reward": 1.78125, + "reward_std": 0.372411385178566, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 111 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.87501525878906, + "epoch": 0.112, + "grad_norm": 2.6740403739253766, + "kl": 0.06787109375, + "learning_rate": 9.996052735444862e-07, + "loss": 0.0151, + "reward": 1.7239583730697632, + "reward_std": 0.06669837608933449, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583730697632, + "step": 112 + }, + { + "clip_ratio": 0.0, + "completion_length": 527.5, + "epoch": 0.113, + "grad_norm": 2.3302793585121684, + "kl": 0.02557373046875, + "learning_rate": 9.995367564058216e-07, + "loss": 0.0383, + "reward": 1.7500000596046448, + "reward_std": 0.364768885076046, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 113 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.6875, + "epoch": 0.114, + "grad_norm": 1.974509624510436, + "kl": 0.02410888671875, + "learning_rate": 9.994627618036452e-07, + "loss": 0.0208, + "reward": 1.8854166865348816, + "reward_std": 0.21218694001436234, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 114 + }, + { + "clip_ratio": 0.0, + "completion_length": 428.75, + "epoch": 0.115, + "grad_norm": 1.8395033635729268, + "kl": 0.02496337890625, + "learning_rate": 9.993832906395582e-07, + "loss": -0.0052, + "reward": 1.9270833730697632, + "reward_std": 0.13579988479614258, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 115 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.9791717529297, + "epoch": 0.116, + "grad_norm": 2.573887435400486, + "kl": 0.0250244140625, + "learning_rate": 9.992983438818915e-07, + "loss": -0.0187, + "reward": 1.3750000596046448, + "reward_std": 0.3927238881587982, + "rewards/accuracy_reward": 0.3958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 116 + }, + { + "clip_ratio": 0.0, + "completion_length": 473.5208435058594, + "epoch": 0.117, + "grad_norm": 1.8895271814490733, + "kl": 0.02532958984375, + "learning_rate": 9.992079225656944e-07, + "loss": -0.0106, + "reward": 1.7760416865348816, + "reward_std": 0.15143894776701927, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 117 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.06251525878906, + "epoch": 0.118, + "grad_norm": 1.7946350638021566, + "kl": 0.02410888671875, + "learning_rate": 9.991120277927223e-07, + "loss": -0.0111, + "reward": 1.8072916865348816, + "reward_std": 0.13110895082354546, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 118 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.81251525878906, + "epoch": 0.119, + "grad_norm": 1.1404926719023871, + "kl": 0.02349853515625, + "learning_rate": 9.990106607314225e-07, + "loss": -0.0086, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 119 + }, + { + "clip_ratio": 0.0, + "completion_length": 593.0625, + "epoch": 0.12, + "grad_norm": 2.0093306234495154, + "kl": 0.02532958984375, + "learning_rate": 9.989038226169207e-07, + "loss": 0.0011, + "reward": 1.59375, + "reward_std": 0.3443092256784439, + "rewards/accuracy_reward": 0.6250000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 120 + }, + { + "clip_ratio": 0.0, + "completion_length": 507.8125, + "epoch": 0.121, + "grad_norm": 1.7892482170583524, + "kl": 0.0277099609375, + "learning_rate": 9.98791514751006e-07, + "loss": 0.1722, + "reward": 1.6927083730697632, + "reward_std": 0.12497352808713913, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 121 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.5, + "epoch": 0.122, + "grad_norm": 1.722048989465319, + "kl": 0.030029296875, + "learning_rate": 9.98673738502114e-07, + "loss": -0.023, + "reward": 1.7968750596046448, + "reward_std": 0.21180957555770874, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 122 + }, + { + "clip_ratio": 0.0, + "completion_length": 469.625, + "epoch": 0.123, + "grad_norm": 1.7255792854875613, + "kl": 0.0279541015625, + "learning_rate": 9.985504953053113e-07, + "loss": 0.0389, + "reward": 1.8802083730697632, + "reward_std": 0.1636047102510929, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 123 + }, + { + "clip_ratio": 0.0, + "completion_length": 457.5833435058594, + "epoch": 0.124, + "grad_norm": 1.6902228262037184, + "kl": 0.02752685546875, + "learning_rate": 9.98421786662277e-07, + "loss": -0.0151, + "reward": 1.8645833730697632, + "reward_std": 0.16664262861013412, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 124 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.3333587646484, + "epoch": 0.125, + "grad_norm": 1.9146301637942638, + "kl": 0.0269775390625, + "learning_rate": 9.982876141412855e-07, + "loss": -0.0007, + "reward": 1.4166667461395264, + "reward_std": 0.3345904052257538, + "rewards/accuracy_reward": 0.4375000223517418, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 125 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.0416717529297, + "epoch": 0.126, + "grad_norm": 1.712921047727268, + "kl": 0.02764892578125, + "learning_rate": 9.981479793771866e-07, + "loss": 0.0744, + "reward": 1.7760416865348816, + "reward_std": 0.2057519406080246, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 126 + }, + { + "clip_ratio": 0.0, + "completion_length": 546.5416870117188, + "epoch": 0.127, + "grad_norm": 1.7859916303470895, + "kl": 0.034423828125, + "learning_rate": 9.98002884071386e-07, + "loss": 0.0464, + "reward": 1.6979167461395264, + "reward_std": 0.2689327597618103, + "rewards/accuracy_reward": 0.7083333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833730697632, + "step": 127 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.6250305175781, + "epoch": 0.128, + "grad_norm": 2.073269318929038, + "kl": 0.03033447265625, + "learning_rate": 9.97852329991824e-07, + "loss": 0.0246, + "reward": 1.75, + "reward_std": 0.35104452073574066, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 128 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.0833435058594, + "epoch": 0.129, + "grad_norm": 1.6460538532689097, + "kl": 0.0306396484375, + "learning_rate": 9.976963189729547e-07, + "loss": 0.0949, + "reward": 1.5833333730697632, + "reward_std": 0.24179892987012863, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 129 + }, + { + "clip_ratio": 0.0, + "completion_length": 580.8541870117188, + "epoch": 0.13, + "grad_norm": 2.5401378528693264, + "kl": 0.04150390625, + "learning_rate": 9.975348529157229e-07, + "loss": -0.0528, + "reward": 1.3958333730697632, + "reward_std": 0.4156641513109207, + "rewards/accuracy_reward": 0.3958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 130 + }, + { + "clip_ratio": 0.0, + "completion_length": 531.7708435058594, + "epoch": 0.131, + "grad_norm": 1.9573752772301032, + "kl": 0.03125, + "learning_rate": 9.973679337875418e-07, + "loss": -0.0261, + "reward": 1.7708333730697632, + "reward_std": 0.34913603961467743, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 131 + }, + { + "clip_ratio": 0.0, + "completion_length": 551.0416870117188, + "epoch": 0.132, + "grad_norm": 1.6981949001451364, + "kl": 0.0321044921875, + "learning_rate": 9.971955636222684e-07, + "loss": -0.0066, + "reward": 1.8697916865348816, + "reward_std": 0.2178531140089035, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 132 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.06251525878906, + "epoch": 0.133, + "grad_norm": 1.2726542950563706, + "kl": 0.03021240234375, + "learning_rate": 9.970177445201783e-07, + "loss": 0.0341, + "reward": 1.8958333730697632, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 133 + }, + { + "clip_ratio": 0.0, + "completion_length": 470.64585876464844, + "epoch": 0.134, + "grad_norm": 1.0712547778176098, + "kl": 0.0323486328125, + "learning_rate": 9.968344786479415e-07, + "loss": -0.0093, + "reward": 1.875, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 134 + }, + { + "clip_ratio": 0.0, + "completion_length": 398.29168701171875, + "epoch": 0.135, + "grad_norm": 1.2032782052397564, + "kl": 0.034912109375, + "learning_rate": 9.96645768238595e-07, + "loss": -0.007, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 135 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.4583435058594, + "epoch": 0.136, + "grad_norm": 1.7734535890068437, + "kl": 0.0382080078125, + "learning_rate": 9.964516155915151e-07, + "loss": 0.0159, + "reward": 1.7239583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 136 + }, + { + "clip_ratio": 0.0, + "completion_length": 537.0833740234375, + "epoch": 0.137, + "grad_norm": 2.3975298518599217, + "kl": 0.0361328125, + "learning_rate": 9.962520230723906e-07, + "loss": 0.0452, + "reward": 1.6458333730697632, + "reward_std": 0.3395978510379791, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 137 + }, + { + "clip_ratio": 0.0, + "completion_length": 546.6250305175781, + "epoch": 0.138, + "grad_norm": 1.7081749467887004, + "kl": 0.0362548828125, + "learning_rate": 9.960469931131936e-07, + "loss": 0.0188, + "reward": 1.625, + "reward_std": 0.22613351047039032, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 138 + }, + { + "clip_ratio": 0.0, + "completion_length": 493.75, + "epoch": 0.139, + "grad_norm": 2.0941768595706978, + "kl": 0.04107666015625, + "learning_rate": 9.958365282121496e-07, + "loss": -0.0722, + "reward": 1.7395833730697632, + "reward_std": 0.18042195588350296, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 139 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.0416870117188, + "epoch": 0.14, + "grad_norm": 4.383530283163599, + "kl": 0.0750732421875, + "learning_rate": 9.956206309337066e-07, + "loss": -0.0355, + "reward": 1.8333333730697632, + "reward_std": 0.22787059843540192, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 140 + }, + { + "clip_ratio": 0.0, + "completion_length": 487.7916717529297, + "epoch": 0.141, + "grad_norm": 1.8675888286114841, + "kl": 0.0362548828125, + "learning_rate": 9.953993039085048e-07, + "loss": 0.0193, + "reward": 1.9739583730697632, + "reward_std": 0.09021097794175148, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 141 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.7500152587891, + "epoch": 0.142, + "grad_norm": 1.7762889556678398, + "kl": 0.0345458984375, + "learning_rate": 9.951725498333448e-07, + "loss": 0.0152, + "reward": 1.6250000596046448, + "reward_std": 0.22040386497974396, + "rewards/accuracy_reward": 0.6250000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 142 + }, + { + "clip_ratio": 0.0, + "completion_length": 418.5416717529297, + "epoch": 0.143, + "grad_norm": 0.11857781401423817, + "kl": 0.03192138671875, + "learning_rate": 9.949403714711526e-07, + "loss": 0.0013, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 143 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.41668701171875, + "epoch": 0.144, + "grad_norm": 1.4523826657220977, + "kl": 0.0328369140625, + "learning_rate": 9.947027716509488e-07, + "loss": 0.0235, + "reward": 1.9583333730697632, + "reward_std": 0.09731237590312958, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 144 + }, + { + "clip_ratio": 0.0, + "completion_length": 475.16668701171875, + "epoch": 0.145, + "grad_norm": 1.6956389235449896, + "kl": 0.0345458984375, + "learning_rate": 9.944597532678119e-07, + "loss": 0.0218, + "reward": 1.8333333730697632, + "reward_std": 0.24179892987012863, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 145 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.1041870117188, + "epoch": 0.146, + "grad_norm": 2.0562109460663685, + "kl": 0.034912109375, + "learning_rate": 9.942113192828444e-07, + "loss": -0.0068, + "reward": 1.4583333730697632, + "reward_std": 0.24164992570877075, + "rewards/accuracy_reward": 0.4583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 146 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.7083587646484, + "epoch": 0.147, + "grad_norm": 1.690782703279331, + "kl": 0.03515625, + "learning_rate": 9.939574727231362e-07, + "loss": -0.049, + "reward": 1.9062500596046448, + "reward_std": 0.2414991855621338, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 147 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.18751525878906, + "epoch": 0.148, + "grad_norm": 1.585327369732611, + "kl": 0.035400390625, + "learning_rate": 9.93698216681727e-07, + "loss": -0.0056, + "reward": 1.8489583730697632, + "reward_std": 0.2344440296292305, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 148 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.3333435058594, + "epoch": 0.149, + "grad_norm": 1.9819641473591838, + "kl": 0.036865234375, + "learning_rate": 9.934335543175705e-07, + "loss": 0.0947, + "reward": 1.9479166865348816, + "reward_std": 0.12164045870304108, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 149 + }, + { + "clip_ratio": 0.0, + "completion_length": 440.8333435058594, + "epoch": 0.15, + "grad_norm": 0.12285313912155071, + "kl": 0.0360107421875, + "learning_rate": 9.931634888554935e-07, + "loss": 0.0014, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 150 + }, + { + "clip_ratio": 0.0, + "completion_length": 488.7916717529297, + "epoch": 0.151, + "grad_norm": 1.063195499891589, + "kl": 0.0328369140625, + "learning_rate": 9.928880235861588e-07, + "loss": -0.0188, + "reward": 1.9114583730697632, + "reward_std": 0.12054072320461273, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 151 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.0625, + "epoch": 0.152, + "grad_norm": 1.2466282783011426, + "kl": 0.0355224609375, + "learning_rate": 9.926071618660237e-07, + "loss": -0.0431, + "reward": 1.7916666865348816, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 152 + }, + { + "clip_ratio": 0.0, + "completion_length": 535.8750305175781, + "epoch": 0.153, + "grad_norm": 1.938342796179097, + "kl": 0.0340576171875, + "learning_rate": 9.923209071172994e-07, + "loss": -0.0078, + "reward": 1.7708333730697632, + "reward_std": 0.3139677047729492, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 153 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.62501525878906, + "epoch": 0.154, + "grad_norm": 1.4682973363511411, + "kl": 0.034912109375, + "learning_rate": 9.9202926282791e-07, + "loss": -0.0231, + "reward": 1.8906250596046448, + "reward_std": 0.14677437022328377, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 154 + }, + { + "clip_ratio": 0.0, + "completion_length": 522.0000305175781, + "epoch": 0.155, + "grad_norm": 0.9308496613480906, + "kl": 0.03314208984375, + "learning_rate": 9.917322325514487e-07, + "loss": -0.0261, + "reward": 1.8229166865348816, + "reward_std": 0.11254207789897919, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 155 + }, + { + "clip_ratio": 0.0, + "completion_length": 391.1041717529297, + "epoch": 0.156, + "grad_norm": 1.4470684501663114, + "kl": 0.03533935546875, + "learning_rate": 9.91429819907136e-07, + "loss": 0.0217, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 156 + }, + { + "clip_ratio": 0.0, + "completion_length": 524.1875305175781, + "epoch": 0.157, + "grad_norm": 1.1522579341401598, + "kl": 0.03466796875, + "learning_rate": 9.911220285797748e-07, + "loss": -0.0318, + "reward": 1.9375, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 157 + }, + { + "clip_ratio": 0.0, + "completion_length": 538.6250305175781, + "epoch": 0.158, + "grad_norm": 1.659266516264927, + "kl": 0.034423828125, + "learning_rate": 9.908088623197048e-07, + "loss": 0.0514, + "reward": 1.7708333730697632, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 158 + }, + { + "clip_ratio": 0.0, + "completion_length": 531.5000152587891, + "epoch": 0.159, + "grad_norm": 0.9351784025513035, + "kl": 0.0303955078125, + "learning_rate": 9.904903249427582e-07, + "loss": -0.022, + "reward": 1.875, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 159 + }, + { + "clip_ratio": 0.0, + "completion_length": 445.85418701171875, + "epoch": 0.16, + "grad_norm": 0.12766514968990195, + "kl": 0.0340576171875, + "learning_rate": 9.901664203302124e-07, + "loss": 0.0014, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 160 + }, + { + "clip_ratio": 0.0, + "completion_length": 470.6458435058594, + "epoch": 0.161, + "grad_norm": 1.2169597147006208, + "kl": 0.0350341796875, + "learning_rate": 9.89837152428743e-07, + "loss": -0.0296, + "reward": 1.8333333730697632, + "reward_std": 0.12309150397777557, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 161 + }, + { + "clip_ratio": 0.0, + "completion_length": 515.7500305175781, + "epoch": 0.162, + "grad_norm": 1.3834987531103262, + "kl": 0.0328369140625, + "learning_rate": 9.895025252503755e-07, + "loss": 0.0062, + "reward": 1.6666667461395264, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 162 + }, + { + "clip_ratio": 0.0, + "completion_length": 570.5625152587891, + "epoch": 0.163, + "grad_norm": 1.5517641138594835, + "kl": 0.0333251953125, + "learning_rate": 9.891625428724364e-07, + "loss": 0.0166, + "reward": 1.7083333730697632, + "reward_std": 0.32399244606494904, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 163 + }, + { + "clip_ratio": 0.0, + "completion_length": 562.7708435058594, + "epoch": 0.164, + "grad_norm": 1.2232882841109314, + "kl": 0.03289794921875, + "learning_rate": 9.888172094375033e-07, + "loss": -0.0313, + "reward": 1.9375, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 164 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.3125, + "epoch": 0.165, + "grad_norm": 1.4953067054465543, + "kl": 0.0352783203125, + "learning_rate": 9.88466529153356e-07, + "loss": -0.0317, + "reward": 1.7812500596046448, + "reward_std": 0.17128896713256836, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 165 + }, + { + "clip_ratio": 0.0, + "completion_length": 511.29168701171875, + "epoch": 0.166, + "grad_norm": 2.0805601481445564, + "kl": 0.0374755859375, + "learning_rate": 9.881105062929221e-07, + "loss": 0.0403, + "reward": 1.7395833730697632, + "reward_std": 0.14433756098151207, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833730697632, + "step": 166 + }, + { + "clip_ratio": 0.0, + "completion_length": 535.0208740234375, + "epoch": 0.167, + "grad_norm": 2.2606308866143006, + "kl": 0.03857421875, + "learning_rate": 9.877491451942284e-07, + "loss": 0.0342, + "reward": 1.7604166865348816, + "reward_std": 0.4283548891544342, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 167 + }, + { + "clip_ratio": 0.0, + "completion_length": 515.8750152587891, + "epoch": 0.168, + "grad_norm": 1.3025627066487886, + "kl": 0.031005859375, + "learning_rate": 9.873824502603459e-07, + "loss": 0.0295, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 168 + }, + { + "clip_ratio": 0.0, + "completion_length": 590.4583435058594, + "epoch": 0.169, + "grad_norm": 2.2294112391243393, + "kl": 0.0333251953125, + "learning_rate": 9.870104259593362e-07, + "loss": 0.0586, + "reward": 1.6875000596046448, + "reward_std": 0.31381870806217194, + "rewards/accuracy_reward": 0.6875000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 169 + }, + { + "clip_ratio": 0.0, + "completion_length": 494.6875, + "epoch": 0.17, + "grad_norm": 1.554508243963261, + "kl": 0.03131103515625, + "learning_rate": 9.866330768241983e-07, + "loss": 0.0263, + "reward": 1.8489583730697632, + "reward_std": 0.14677435159683228, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 170 + }, + { + "clip_ratio": 0.0, + "completion_length": 639.3333435058594, + "epoch": 0.171, + "grad_norm": 1.3098496643658544, + "kl": 0.0316162109375, + "learning_rate": 9.862504074528126e-07, + "loss": 0.0017, + "reward": 1.75, + "reward_std": 0.22613351047039032, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 171 + }, + { + "clip_ratio": 0.0, + "completion_length": 561.125, + "epoch": 0.172, + "grad_norm": 1.7145836259546225, + "kl": 0.03125, + "learning_rate": 9.85862422507884e-07, + "loss": 0.054, + "reward": 1.90625, + "reward_std": 0.20762187242507935, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 172 + }, + { + "clip_ratio": 0.0, + "completion_length": 612.6666870117188, + "epoch": 0.173, + "grad_norm": 2.006247979915205, + "kl": 0.032470703125, + "learning_rate": 9.854691267168871e-07, + "loss": 0.0614, + "reward": 1.6093750596046448, + "reward_std": 0.23601797595620155, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 173 + }, + { + "clip_ratio": 0.0, + "completion_length": 625.2083740234375, + "epoch": 0.174, + "grad_norm": 1.850468417947257, + "kl": 0.036376953125, + "learning_rate": 9.850705248720068e-07, + "loss": 0.0366, + "reward": 1.7447916865348816, + "reward_std": 0.3420346528291702, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 174 + }, + { + "clip_ratio": 0.0, + "completion_length": 691.0000305175781, + "epoch": 0.175, + "grad_norm": 2.0889329131705137, + "kl": 0.0399169921875, + "learning_rate": 9.846666218300807e-07, + "loss": 0.0253, + "reward": 1.4062500596046448, + "reward_std": 0.37911172211170197, + "rewards/accuracy_reward": 0.4375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 175 + }, + { + "clip_ratio": 0.0, + "completion_length": 618.8958435058594, + "epoch": 0.176, + "grad_norm": 1.4240098910462737, + "kl": 0.036865234375, + "learning_rate": 9.8425742251254e-07, + "loss": -0.0333, + "reward": 1.5833333730697632, + "reward_std": 0.24618300795555115, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 176 + }, + { + "clip_ratio": 0.0, + "completion_length": 547.4166717529297, + "epoch": 0.177, + "grad_norm": 1.3834162483113395, + "kl": 0.03466796875, + "learning_rate": 9.838429319053495e-07, + "loss": -0.0213, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 177 + }, + { + "clip_ratio": 0.0, + "completion_length": 490.5, + "epoch": 0.178, + "grad_norm": 0.11376178840815106, + "kl": 0.03277587890625, + "learning_rate": 9.83423155058946e-07, + "loss": 0.0013, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 178 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.375, + "epoch": 0.179, + "grad_norm": 1.9333499177389204, + "kl": 0.041015625, + "learning_rate": 9.829980970881784e-07, + "loss": -0.0732, + "reward": 1.640625, + "reward_std": 0.36500225961208344, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 179 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.1666870117188, + "epoch": 0.18, + "grad_norm": 1.164840130947205, + "kl": 0.0325927734375, + "learning_rate": 9.825677631722435e-07, + "loss": 0.0117, + "reward": 1.625, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 180 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.1875152587891, + "epoch": 0.181, + "grad_norm": 1.9288689053507775, + "kl": 0.03271484375, + "learning_rate": 9.821321585546243e-07, + "loss": 0.1236, + "reward": 1.8541666865348816, + "reward_std": 0.23615825921297073, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 181 + }, + { + "clip_ratio": 0.0, + "completion_length": 760.7708435058594, + "epoch": 0.182, + "grad_norm": 1.9428679698216365, + "kl": 0.0335693359375, + "learning_rate": 9.816912885430258e-07, + "loss": 0.1351, + "reward": 1.6927083730697632, + "reward_std": 0.351699560880661, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 182 + }, + { + "clip_ratio": 0.0, + "completion_length": 566.9583435058594, + "epoch": 0.183, + "grad_norm": 1.4126640994539446, + "kl": 0.03125, + "learning_rate": 9.812451585093098e-07, + "loss": 0.024, + "reward": 1.9114583730697632, + "reward_std": 0.1835213080048561, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 183 + }, + { + "clip_ratio": 0.0, + "completion_length": 516.3125152587891, + "epoch": 0.184, + "grad_norm": 1.6167664461469606, + "kl": 0.035888671875, + "learning_rate": 9.807937738894303e-07, + "loss": -0.0303, + "reward": 1.7291666865348816, + "reward_std": 0.23615825921297073, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 184 + }, + { + "clip_ratio": 0.0, + "completion_length": 669.875, + "epoch": 0.185, + "grad_norm": 1.6208098253559204, + "kl": 0.0389404296875, + "learning_rate": 9.80337140183366e-07, + "loss": -0.0114, + "reward": 1.7500000596046448, + "reward_std": 0.3648904263973236, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 185 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.8541870117188, + "epoch": 0.186, + "grad_norm": 1.646219906849929, + "kl": 0.04052734375, + "learning_rate": 9.798752629550546e-07, + "loss": 0.008, + "reward": 1.6822916865348816, + "reward_std": 0.13110895082354546, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 186 + }, + { + "clip_ratio": 0.0, + "completion_length": 538.6875, + "epoch": 0.187, + "grad_norm": 1.8498384499524474, + "kl": 0.0404052734375, + "learning_rate": 9.794081478323245e-07, + "loss": -0.0134, + "reward": 1.8072916865348816, + "reward_std": 0.21330247819423676, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 187 + }, + { + "clip_ratio": 0.0, + "completion_length": 500.08335876464844, + "epoch": 0.188, + "grad_norm": 1.2422870567859647, + "kl": 0.0322265625, + "learning_rate": 9.78935800506826e-07, + "loss": 0.0061, + "reward": 1.4947916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.5, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 188 + }, + { + "clip_ratio": 0.0, + "completion_length": 502.5833435058594, + "epoch": 0.189, + "grad_norm": 1.525579593814434, + "kl": 0.0367431640625, + "learning_rate": 9.784582267339622e-07, + "loss": -0.069, + "reward": 1.8125000596046448, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 189 + }, + { + "clip_ratio": 0.0, + "completion_length": 549.6875152587891, + "epoch": 0.19, + "grad_norm": 1.545849045795341, + "kl": 0.0374755859375, + "learning_rate": 9.779754323328192e-07, + "loss": -0.0449, + "reward": 1.375, + "reward_std": 0.22613351047039032, + "rewards/accuracy_reward": 0.375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 190 + }, + { + "clip_ratio": 0.0, + "completion_length": 515.8541870117188, + "epoch": 0.191, + "grad_norm": 1.1770893888687948, + "kl": 0.0347900390625, + "learning_rate": 9.774874231860935e-07, + "loss": 0.0252, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 191 + }, + { + "clip_ratio": 0.0, + "completion_length": 531.0625305175781, + "epoch": 0.192, + "grad_norm": 1.5630214160136489, + "kl": 0.038818359375, + "learning_rate": 9.769942052400235e-07, + "loss": 0.0085, + "reward": 1.5572916865348816, + "reward_std": 0.13110895082354546, + "rewards/accuracy_reward": 0.5625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 192 + }, + { + "clip_ratio": 0.0, + "completion_length": 529.8125305175781, + "epoch": 0.193, + "grad_norm": 1.823338149977394, + "kl": 0.03759765625, + "learning_rate": 9.764957845043135e-07, + "loss": 0.064, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 193 + }, + { + "clip_ratio": 0.0, + "completion_length": 505.29168701171875, + "epoch": 0.194, + "grad_norm": 1.2765669953869547, + "kl": 0.0360107421875, + "learning_rate": 9.759921670520634e-07, + "loss": -0.0211, + "reward": 1.9375, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 194 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.7916870117188, + "epoch": 0.195, + "grad_norm": 1.2267648655713164, + "kl": 0.03759765625, + "learning_rate": 9.754833590196926e-07, + "loss": 0.0168, + "reward": 1.7395833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 195 + }, + { + "clip_ratio": 0.0, + "completion_length": 589.8750305175781, + "epoch": 0.196, + "grad_norm": 1.5433762444397714, + "kl": 0.0380859375, + "learning_rate": 9.749693666068663e-07, + "loss": -0.0119, + "reward": 1.7864583730697632, + "reward_std": 0.264947772026062, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 196 + }, + { + "clip_ratio": 0.0, + "completion_length": 511.7500305175781, + "epoch": 0.197, + "grad_norm": 1.5918163632383577, + "kl": 0.037353515625, + "learning_rate": 9.744501960764203e-07, + "loss": 0.0372, + "reward": 1.8958333730697632, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 197 + }, + { + "clip_ratio": 0.0, + "completion_length": 470.04168701171875, + "epoch": 0.198, + "grad_norm": 1.4113748478905823, + "kl": 0.0389404296875, + "learning_rate": 9.739258537542835e-07, + "loss": 0.0054, + "reward": 1.7395833730697632, + "reward_std": 0.19643256068229675, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 198 + }, + { + "clip_ratio": 0.0, + "completion_length": 553.375, + "epoch": 0.199, + "grad_norm": 1.6868362902122307, + "kl": 0.039306640625, + "learning_rate": 9.733963460294015e-07, + "loss": 0.0354, + "reward": 1.6770833730697632, + "reward_std": 0.1589069850742817, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 199 + }, + { + "clip_ratio": 0.0, + "completion_length": 617.0416870117188, + "epoch": 0.2, + "grad_norm": 0.8811743398857854, + "kl": 0.0352783203125, + "learning_rate": 9.728616793536587e-07, + "loss": 0.0398, + "reward": 1.8541666865348816, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 200 + }, + { + "clip_ratio": 0.0, + "completion_length": 582.0000305175781, + "epoch": 0.201, + "grad_norm": 2.3848711307280435, + "kl": 0.0361328125, + "learning_rate": 9.723218602418e-07, + "loss": 0.0927, + "reward": 1.6041667461395264, + "reward_std": 0.3470645844936371, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 201 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.10418701171875, + "epoch": 0.202, + "grad_norm": 1.3880405450574906, + "kl": 0.0335693359375, + "learning_rate": 9.717768952713511e-07, + "loss": -0.0306, + "reward": 1.7916666865348816, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 202 + }, + { + "clip_ratio": 0.0, + "completion_length": 637.1041870117188, + "epoch": 0.203, + "grad_norm": 1.5734831132710547, + "kl": 0.040283203125, + "learning_rate": 9.71226791082538e-07, + "loss": 0.0075, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 203 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.9166717529297, + "epoch": 0.204, + "grad_norm": 1.2999212850568949, + "kl": 0.0347900390625, + "learning_rate": 9.706715543782064e-07, + "loss": 0.0356, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 204 + }, + { + "clip_ratio": 0.0, + "completion_length": 565.6875305175781, + "epoch": 0.205, + "grad_norm": 1.5109780429888018, + "kl": 0.03955078125, + "learning_rate": 9.701111919237408e-07, + "loss": -0.0002, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 205 + }, + { + "clip_ratio": 0.0, + "completion_length": 554.6875, + "epoch": 0.206, + "grad_norm": 2.4304215425778715, + "kl": 0.037353515625, + "learning_rate": 9.695457105469804e-07, + "loss": 0.0315, + "reward": 1.6875, + "reward_std": 0.31381870806217194, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 206 + }, + { + "clip_ratio": 0.0, + "completion_length": 751.25, + "epoch": 0.207, + "grad_norm": 1.6054354888342823, + "kl": 0.038818359375, + "learning_rate": 9.689751171381377e-07, + "loss": -0.0256, + "reward": 1.7500000596046448, + "reward_std": 0.32399246096611023, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 207 + }, + { + "clip_ratio": 0.0, + "completion_length": 634.1666870117188, + "epoch": 0.208, + "grad_norm": 2.032740200554419, + "kl": 0.042236328125, + "learning_rate": 9.683994186497132e-07, + "loss": 0.0423, + "reward": 1.8906250596046448, + "reward_std": 0.2754465192556381, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 208 + }, + { + "clip_ratio": 0.0, + "completion_length": 626.9791870117188, + "epoch": 0.209, + "grad_norm": 1.9307476770598715, + "kl": 0.0445556640625, + "learning_rate": 9.67818622096411e-07, + "loss": 0.0585, + "reward": 1.7447916865348816, + "reward_std": 0.28703896701335907, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 209 + }, + { + "clip_ratio": 0.0, + "completion_length": 616.7291870117188, + "epoch": 0.21, + "grad_norm": 1.6826570417632707, + "kl": 0.0408935546875, + "learning_rate": 9.672327345550543e-07, + "loss": 0.041, + "reward": 1.7916666865348816, + "reward_std": 0.34349535405635834, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 210 + }, + { + "clip_ratio": 0.0, + "completion_length": 570.9791870117188, + "epoch": 0.211, + "grad_norm": 1.970570054612099, + "kl": 0.04345703125, + "learning_rate": 9.666417631644976e-07, + "loss": 0.0726, + "reward": 1.75, + "reward_std": 0.2837398797273636, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 211 + }, + { + "clip_ratio": 0.0, + "completion_length": 595.2916870117188, + "epoch": 0.212, + "grad_norm": 1.4838328368011435, + "kl": 0.04296875, + "learning_rate": 9.66045715125541e-07, + "loss": -0.0738, + "reward": 1.6354167461395264, + "reward_std": 0.2177312970161438, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 212 + }, + { + "clip_ratio": 0.0, + "completion_length": 549.0416870117188, + "epoch": 0.213, + "grad_norm": 1.5797054551535403, + "kl": 0.0386962890625, + "learning_rate": 9.654445977008414e-07, + "loss": -0.0014, + "reward": 1.9114583730697632, + "reward_std": 0.20759673416614532, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 213 + }, + { + "clip_ratio": 0.0, + "completion_length": 625.5416870117188, + "epoch": 0.214, + "grad_norm": 2.170660977881024, + "kl": 0.04638671875, + "learning_rate": 9.648384182148252e-07, + "loss": 0.0749, + "reward": 1.8385416865348816, + "reward_std": 0.24533500522375107, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 214 + }, + { + "clip_ratio": 0.0, + "completion_length": 591.6666870117188, + "epoch": 0.215, + "grad_norm": 2.17643014116164, + "kl": 0.048583984375, + "learning_rate": 9.64227184053598e-07, + "loss": 0.0356, + "reward": 1.7812500596046448, + "reward_std": 0.31549227982759476, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 215 + }, + { + "clip_ratio": 0.0, + "completion_length": 506.7500305175781, + "epoch": 0.216, + "grad_norm": 0.10446632805987377, + "kl": 0.034423828125, + "learning_rate": 9.636109026648554e-07, + "loss": 0.0014, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 216 + }, + { + "clip_ratio": 0.0, + "completion_length": 752.75, + "epoch": 0.217, + "grad_norm": 2.3540574142805526, + "kl": 0.0469970703125, + "learning_rate": 9.629895815577915e-07, + "loss": -0.1481, + "reward": 1.375, + "reward_std": 0.427034467458725, + "rewards/accuracy_reward": 0.375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 217 + }, + { + "clip_ratio": 0.0, + "completion_length": 562.6041870117188, + "epoch": 0.218, + "grad_norm": 1.8771225265937168, + "kl": 0.0445556640625, + "learning_rate": 9.623632283030077e-07, + "loss": 0.0737, + "reward": 1.7239583730697632, + "reward_std": 0.22842131555080414, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 218 + }, + { + "clip_ratio": 0.0, + "completion_length": 484.0, + "epoch": 0.219, + "grad_norm": 2.0436128894263303, + "kl": 0.038330078125, + "learning_rate": 9.617318505324212e-07, + "loss": 0.0276, + "reward": 1.9166666865348816, + "reward_std": 0.18523553758859634, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 219 + }, + { + "clip_ratio": 0.0, + "completion_length": 615.1875305175781, + "epoch": 0.22, + "grad_norm": 1.9336203975256818, + "kl": 0.0416259765625, + "learning_rate": 9.610954559391704e-07, + "loss": 0.07, + "reward": 1.7083333730697632, + "reward_std": 0.37674127519130707, + "rewards/accuracy_reward": 0.7083333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 220 + }, + { + "clip_ratio": 0.0, + "completion_length": 579.0208435058594, + "epoch": 0.221, + "grad_norm": 2.0163065562334404, + "kl": 0.046630859375, + "learning_rate": 9.604540522775227e-07, + "loss": -0.0314, + "reward": 1.6875, + "reward_std": 0.4269455075263977, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 221 + }, + { + "clip_ratio": 0.0, + "completion_length": 580.4166870117188, + "epoch": 0.222, + "grad_norm": 1.8765027810152024, + "kl": 0.051025390625, + "learning_rate": 9.598076473627796e-07, + "loss": 0.0179, + "reward": 1.7239583730697632, + "reward_std": 0.3158010095357895, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 222 + }, + { + "clip_ratio": 0.0, + "completion_length": 494.5416717529297, + "epoch": 0.223, + "grad_norm": 1.0951016884779496, + "kl": 0.0400390625, + "learning_rate": 9.59156249071181e-07, + "loss": 0.0036, + "reward": 1.7291666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 223 + }, + { + "clip_ratio": 0.0, + "completion_length": 662.7500305175781, + "epoch": 0.224, + "grad_norm": 1.8616225271003006, + "kl": 0.0384521484375, + "learning_rate": 9.58499865339809e-07, + "loss": 0.1526, + "reward": 1.5729167461395264, + "reward_std": 0.27979065477848053, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 224 + }, + { + "clip_ratio": 0.0, + "completion_length": 500.54168701171875, + "epoch": 0.225, + "grad_norm": 1.8956436916076644, + "kl": 0.0438232421875, + "learning_rate": 9.578385041664925e-07, + "loss": 0.0097, + "reward": 1.7500000596046448, + "reward_std": 0.24164992570877075, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 225 + }, + { + "clip_ratio": 0.0, + "completion_length": 609.9791870117188, + "epoch": 0.226, + "grad_norm": 2.046731958243305, + "kl": 0.0489501953125, + "learning_rate": 9.571721736097088e-07, + "loss": 0.0026, + "reward": 1.6979166865348816, + "reward_std": 0.3049342483282089, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 226 + }, + { + "clip_ratio": 0.0, + "completion_length": 623.7708435058594, + "epoch": 0.227, + "grad_norm": 1.7444868648149183, + "kl": 0.041259765625, + "learning_rate": 9.565008817884854e-07, + "loss": -0.0396, + "reward": 1.7708333730697632, + "reward_std": 0.2574043273925781, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 227 + }, + { + "clip_ratio": 0.0, + "completion_length": 494.35418701171875, + "epoch": 0.228, + "grad_norm": 1.551465225400232, + "kl": 0.0380859375, + "learning_rate": 9.55824636882301e-07, + "loss": -0.0127, + "reward": 1.875, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 228 + }, + { + "clip_ratio": 0.0, + "completion_length": 530.2083587646484, + "epoch": 0.229, + "grad_norm": 1.4584264987595335, + "kl": 0.04052734375, + "learning_rate": 9.55143447130987e-07, + "loss": 0.0373, + "reward": 1.7291666865348816, + "reward_std": 0.05689104273915291, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 229 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.2708435058594, + "epoch": 0.23, + "grad_norm": 0.10447992335108418, + "kl": 0.0389404296875, + "learning_rate": 9.54457320834625e-07, + "loss": 0.0016, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 230 + }, + { + "clip_ratio": 0.0, + "completion_length": 505.6458435058594, + "epoch": 0.231, + "grad_norm": 1.6160413927645534, + "kl": 0.0386962890625, + "learning_rate": 9.537662663534477e-07, + "loss": 0.0344, + "reward": 1.75, + "reward_std": 0.26111647486686707, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 231 + }, + { + "clip_ratio": 0.0, + "completion_length": 555.7083435058594, + "epoch": 0.232, + "grad_norm": 1.7431877877211548, + "kl": 0.041015625, + "learning_rate": 9.530702921077358e-07, + "loss": 0.0615, + "reward": 1.8281250596046448, + "reward_std": 0.25984111800789833, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 232 + }, + { + "clip_ratio": 0.0, + "completion_length": 582.0625152587891, + "epoch": 0.233, + "grad_norm": 1.957784810698847, + "kl": 0.049072265625, + "learning_rate": 9.523694065777156e-07, + "loss": 0.0183, + "reward": 1.6979166865348816, + "reward_std": 0.3233904391527176, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 233 + }, + { + "clip_ratio": 0.0, + "completion_length": 525.2916870117188, + "epoch": 0.234, + "grad_norm": 1.6270752049452997, + "kl": 0.042236328125, + "learning_rate": 9.516636183034564e-07, + "loss": 0.0157, + "reward": 1.9166666865348816, + "reward_std": 0.18523553758859634, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 234 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.9375, + "epoch": 0.235, + "grad_norm": 1.092987074367016, + "kl": 0.041015625, + "learning_rate": 9.509529358847654e-07, + "loss": -0.0014, + "reward": 1.9947916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 235 + }, + { + "clip_ratio": 0.0, + "completion_length": 639.6666870117188, + "epoch": 0.236, + "grad_norm": 1.6337329373617202, + "kl": 0.044677734375, + "learning_rate": 9.502373679810839e-07, + "loss": -0.1059, + "reward": 1.71875, + "reward_std": 0.13339674472808838, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 236 + }, + { + "clip_ratio": 0.0, + "completion_length": 553.0833435058594, + "epoch": 0.237, + "grad_norm": 1.4020154565818193, + "kl": 0.0416259765625, + "learning_rate": 9.495169233113806e-07, + "loss": 0.1086, + "reward": 1.6875, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 237 + }, + { + "clip_ratio": 0.0, + "completion_length": 593.5625305175781, + "epoch": 0.238, + "grad_norm": 1.8982847694375606, + "kl": 0.0426025390625, + "learning_rate": 9.487916106540465e-07, + "loss": 0.0692, + "reward": 1.7812500596046448, + "reward_std": 0.25648826360702515, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 238 + }, + { + "clip_ratio": 0.0, + "completion_length": 558.8750305175781, + "epoch": 0.239, + "grad_norm": 1.9288179052798846, + "kl": 0.0401611328125, + "learning_rate": 9.480614388467877e-07, + "loss": -0.0584, + "reward": 1.7916666865348816, + "reward_std": 0.29821331799030304, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 239 + }, + { + "clip_ratio": 0.0, + "completion_length": 490.16668701171875, + "epoch": 0.24, + "grad_norm": 1.6870908384319176, + "kl": 0.04736328125, + "learning_rate": 9.473264167865171e-07, + "loss": 0.0651, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 240 + }, + { + "clip_ratio": 0.0, + "completion_length": 462.16668701171875, + "epoch": 0.241, + "grad_norm": 1.73953429694824, + "kl": 0.03857421875, + "learning_rate": 9.465865534292464e-07, + "loss": 0.013, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 241 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.4791717529297, + "epoch": 0.242, + "grad_norm": 1.47708785634007, + "kl": 0.039794921875, + "learning_rate": 9.458418577899774e-07, + "loss": 0.0349, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 242 + }, + { + "clip_ratio": 0.0, + "completion_length": 578.7916717529297, + "epoch": 0.243, + "grad_norm": 0.804017233483098, + "kl": 0.0440673828125, + "learning_rate": 9.450923389425911e-07, + "loss": 0.0345, + "reward": 1.8333333730697632, + "reward_std": 0.12309150397777557, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 243 + }, + { + "clip_ratio": 0.0, + "completion_length": 541.7916870117188, + "epoch": 0.244, + "grad_norm": 0.9217564045439455, + "kl": 0.0423583984375, + "learning_rate": 9.443380060197385e-07, + "loss": 0.0251, + "reward": 1.8958333730697632, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 244 + }, + { + "clip_ratio": 0.0, + "completion_length": 594.2291870117188, + "epoch": 0.245, + "grad_norm": 1.9827076097548295, + "kl": 0.046630859375, + "learning_rate": 9.43578868212728e-07, + "loss": -0.0243, + "reward": 1.6875000596046448, + "reward_std": 0.3258185237646103, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 245 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.0208435058594, + "epoch": 0.246, + "grad_norm": 1.865405804331346, + "kl": 0.047607421875, + "learning_rate": 9.428149347714143e-07, + "loss": -0.0008, + "reward": 1.5416666865348816, + "reward_std": 0.3251829594373703, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 246 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.4375305175781, + "epoch": 0.247, + "grad_norm": 0.9636491587585947, + "kl": 0.04345703125, + "learning_rate": 9.420462150040852e-07, + "loss": 0.085, + "reward": 1.875, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 247 + }, + { + "clip_ratio": 0.0, + "completion_length": 477.8333435058594, + "epoch": 0.248, + "grad_norm": 1.8131198477877324, + "kl": 0.04541015625, + "learning_rate": 9.412727182773486e-07, + "loss": 0.0789, + "reward": 1.8541667461395264, + "reward_std": 0.22604453563690186, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 248 + }, + { + "clip_ratio": 0.0, + "completion_length": 488.43751525878906, + "epoch": 0.249, + "grad_norm": 1.6187929261632488, + "kl": 0.046142578125, + "learning_rate": 9.404944540160177e-07, + "loss": 0.0422, + "reward": 1.8958333730697632, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 249 + }, + { + "clip_ratio": 0.0, + "completion_length": 486.35418701171875, + "epoch": 0.25, + "grad_norm": 1.5724286696627654, + "kl": 0.04150390625, + "learning_rate": 9.397114317029974e-07, + "loss": 0.0939, + "reward": 1.8750000596046448, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 250 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.91668701171875, + "epoch": 0.251, + "grad_norm": 1.7327032194423762, + "kl": 0.051025390625, + "learning_rate": 9.38923660879167e-07, + "loss": 0.0251, + "reward": 1.8750000596046448, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 251 + }, + { + "clip_ratio": 0.0, + "completion_length": 578.1041870117188, + "epoch": 0.252, + "grad_norm": 1.965147285631464, + "kl": 0.0479736328125, + "learning_rate": 9.381311511432658e-07, + "loss": 0.1045, + "reward": 1.5208333730697632, + "reward_std": 0.2574043273925781, + "rewards/accuracy_reward": 0.520833358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 252 + }, + { + "clip_ratio": 0.0, + "completion_length": 436.50001525878906, + "epoch": 0.253, + "grad_norm": 0.2373916176524351, + "kl": 0.04833984375, + "learning_rate": 9.373339121517746e-07, + "loss": 0.0019, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 253 + }, + { + "clip_ratio": 0.0, + "completion_length": 475.2083435058594, + "epoch": 0.254, + "grad_norm": 1.531390781511125, + "kl": 0.052978515625, + "learning_rate": 9.36531953618799e-07, + "loss": 0.0513, + "reward": 1.8958333730697632, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 254 + }, + { + "clip_ratio": 0.0, + "completion_length": 497.7708435058594, + "epoch": 0.255, + "grad_norm": 1.7634585239045695, + "kl": 0.0474853515625, + "learning_rate": 9.357252853159505e-07, + "loss": 0.0247, + "reward": 1.7083333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 255 + }, + { + "clip_ratio": 0.0, + "completion_length": 446.5833435058594, + "epoch": 0.256, + "grad_norm": 1.905154732192964, + "kl": 0.049560546875, + "learning_rate": 9.34913917072228e-07, + "loss": 0.0554, + "reward": 1.9375000596046448, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 256 + }, + { + "clip_ratio": 0.0, + "completion_length": 524.6875, + "epoch": 0.257, + "grad_norm": 1.5618982510486417, + "kl": 0.057373046875, + "learning_rate": 9.340978587738972e-07, + "loss": -0.0693, + "reward": 1.7864583730697632, + "reward_std": 0.25408679246902466, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 257 + }, + { + "clip_ratio": 0.0, + "completion_length": 456.37501525878906, + "epoch": 0.258, + "grad_norm": 2.1526606311686853, + "kl": 0.0570068359375, + "learning_rate": 9.332771203643714e-07, + "loss": -0.0614, + "reward": 1.6666667461395264, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 258 + }, + { + "clip_ratio": 0.0, + "completion_length": 469.5833435058594, + "epoch": 0.259, + "grad_norm": 0.12394876363564046, + "kl": 0.05322265625, + "learning_rate": 9.324517118440888e-07, + "loss": 0.0021, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 259 + }, + { + "clip_ratio": 0.0, + "completion_length": 448.56251525878906, + "epoch": 0.26, + "grad_norm": 1.5562456504088078, + "kl": 0.0533447265625, + "learning_rate": 9.316216432703916e-07, + "loss": -0.0118, + "reward": 1.7239583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 260 + }, + { + "clip_ratio": 0.0, + "completion_length": 476.3333435058594, + "epoch": 0.261, + "grad_norm": 1.6065532765180472, + "kl": 0.0513916015625, + "learning_rate": 9.307869247574038e-07, + "loss": 0.0535, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 261 + }, + { + "clip_ratio": 0.0, + "completion_length": 404.5833435058594, + "epoch": 0.262, + "grad_norm": 1.1438291803489842, + "kl": 0.05517578125, + "learning_rate": 9.299475664759068e-07, + "loss": -0.0018, + "reward": 1.7708333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 262 + }, + { + "clip_ratio": 0.0, + "completion_length": 402.25001525878906, + "epoch": 0.263, + "grad_norm": 1.3669448886833322, + "kl": 0.045166015625, + "learning_rate": 9.291035786532163e-07, + "loss": 0.0025, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 263 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.7916717529297, + "epoch": 0.264, + "grad_norm": 1.4798113577618432, + "kl": 0.0533447265625, + "learning_rate": 9.282549715730579e-07, + "loss": 0.0242, + "reward": 1.875, + "reward_std": 0.22040385007858276, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 264 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.6250305175781, + "epoch": 0.265, + "grad_norm": 1.7790769508709383, + "kl": 0.0640869140625, + "learning_rate": 9.274017555754407e-07, + "loss": 0.0064, + "reward": 1.7864583730697632, + "reward_std": 0.3314758837223053, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 265 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.70835876464844, + "epoch": 0.266, + "grad_norm": 1.9599086067310774, + "kl": 0.0693359375, + "learning_rate": 9.265439410565328e-07, + "loss": -0.0725, + "reward": 1.7291666865348816, + "reward_std": 0.259290412068367, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 266 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.8333435058594, + "epoch": 0.267, + "grad_norm": 1.2021326550040026, + "kl": 0.0584716796875, + "learning_rate": 9.256815384685328e-07, + "loss": 0.0381, + "reward": 1.9166666865348816, + "reward_std": 0.13366925716400146, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 267 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.9375305175781, + "epoch": 0.268, + "grad_norm": 1.9459735742989812, + "kl": 0.0562744140625, + "learning_rate": 9.248145583195447e-07, + "loss": 0.0878, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 268 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.0833435058594, + "epoch": 0.269, + "grad_norm": 1.1949901764547433, + "kl": 0.05419921875, + "learning_rate": 9.239430111734476e-07, + "loss": -0.0081, + "reward": 1.7708333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 269 + }, + { + "clip_ratio": 0.0, + "completion_length": 486.56251525878906, + "epoch": 0.27, + "grad_norm": 1.4911458628765353, + "kl": 0.0511474609375, + "learning_rate": 9.230669076497687e-07, + "loss": 0.0048, + "reward": 1.8750000596046448, + "reward_std": 0.22040386497974396, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 270 + }, + { + "clip_ratio": 0.0, + "completion_length": 559.1041870117188, + "epoch": 0.271, + "grad_norm": 2.2161858074413225, + "kl": 0.063232421875, + "learning_rate": 9.221862584235526e-07, + "loss": -0.0149, + "reward": 1.6822916865348816, + "reward_std": 0.43450842797756195, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 271 + }, + { + "clip_ratio": 0.0, + "completion_length": 521.5833435058594, + "epoch": 0.272, + "grad_norm": 2.2096450352669637, + "kl": 0.055908203125, + "learning_rate": 9.213010742252327e-07, + "loss": 0.1146, + "reward": 1.7395833730697632, + "reward_std": 0.25259073078632355, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 272 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.6041717529297, + "epoch": 0.273, + "grad_norm": 1.3559808511488978, + "kl": 0.0498046875, + "learning_rate": 9.204113658404989e-07, + "loss": 0.0683, + "reward": 1.7760416865348816, + "reward_std": 0.2851714491844177, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 273 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.54168701171875, + "epoch": 0.274, + "grad_norm": 1.3815490224836835, + "kl": 0.04833984375, + "learning_rate": 9.195171441101668e-07, + "loss": 0.1051, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 274 + }, + { + "clip_ratio": 0.0, + "completion_length": 520.875, + "epoch": 0.275, + "grad_norm": 1.4957151576657022, + "kl": 0.0565185546875, + "learning_rate": 9.186184199300463e-07, + "loss": 0.0809, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 275 + }, + { + "clip_ratio": 0.0, + "completion_length": 513.9583435058594, + "epoch": 0.276, + "grad_norm": 1.3361311159289526, + "kl": 0.055419921875, + "learning_rate": 9.177152042508077e-07, + "loss": 0.0006, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 276 + }, + { + "clip_ratio": 0.0, + "completion_length": 588.5416870117188, + "epoch": 0.277, + "grad_norm": 2.0258870005968195, + "kl": 0.0640869140625, + "learning_rate": 9.168075080778494e-07, + "loss": 0.0781, + "reward": 1.9166667461395264, + "reward_std": 0.24164992570877075, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 277 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.8541870117188, + "epoch": 0.278, + "grad_norm": 1.6307241322113504, + "kl": 0.0572509765625, + "learning_rate": 9.158953424711624e-07, + "loss": -0.0485, + "reward": 1.7708333730697632, + "reward_std": 0.21037912368774414, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 278 + }, + { + "clip_ratio": 0.0, + "completion_length": 530.6458740234375, + "epoch": 0.279, + "grad_norm": 1.279366864903179, + "kl": 0.056640625, + "learning_rate": 9.149787185451969e-07, + "loss": 0.0604, + "reward": 1.9375, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 279 + }, + { + "clip_ratio": 0.0, + "completion_length": 533.0, + "epoch": 0.28, + "grad_norm": 1.6269654380533742, + "kl": 0.061279296875, + "learning_rate": 9.140576474687263e-07, + "loss": 0.0102, + "reward": 1.7708333730697632, + "reward_std": 0.25182367861270905, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 280 + }, + { + "clip_ratio": 0.0, + "completion_length": 500.8125, + "epoch": 0.281, + "grad_norm": 1.630677321540645, + "kl": 0.0537109375, + "learning_rate": 9.131321404647109e-07, + "loss": -0.0096, + "reward": 1.8489583730697632, + "reward_std": 0.14677437022328377, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 281 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.37501525878906, + "epoch": 0.282, + "grad_norm": 1.7192186218145291, + "kl": 0.0693359375, + "learning_rate": 9.122022088101613e-07, + "loss": 0.0208, + "reward": 1.7708333730697632, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 282 + }, + { + "clip_ratio": 0.0, + "completion_length": 530.8750152587891, + "epoch": 0.283, + "grad_norm": 1.372306346543197, + "kl": 0.052490234375, + "learning_rate": 9.112678638360015e-07, + "loss": 0.06, + "reward": 1.9166666865348816, + "reward_std": 0.18523554503917694, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 283 + }, + { + "clip_ratio": 0.0, + "completion_length": 401.1041717529297, + "epoch": 0.284, + "grad_norm": 0.11544203473038296, + "kl": 0.0511474609375, + "learning_rate": 9.103291169269299e-07, + "loss": 0.0021, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 284 + }, + { + "clip_ratio": 0.0, + "completion_length": 428.3541717529297, + "epoch": 0.285, + "grad_norm": 1.1779576749269904, + "kl": 0.06591796875, + "learning_rate": 9.093859795212817e-07, + "loss": -0.0204, + "reward": 1.9166666865348816, + "reward_std": 0.12309150397777557, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 285 + }, + { + "clip_ratio": 0.0, + "completion_length": 500.45835876464844, + "epoch": 0.286, + "grad_norm": 1.7979919834952898, + "kl": 0.066650390625, + "learning_rate": 9.084384631108882e-07, + "loss": 0.0741, + "reward": 1.5729166865348816, + "reward_std": 0.21444134414196014, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 286 + }, + { + "clip_ratio": 0.0, + "completion_length": 433.3333435058594, + "epoch": 0.287, + "grad_norm": 1.698247369549637, + "kl": 0.0537109375, + "learning_rate": 9.074865792409381e-07, + "loss": 0.0431, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 287 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.5416717529297, + "epoch": 0.288, + "grad_norm": 1.3695302771332583, + "kl": 0.0595703125, + "learning_rate": 9.065303395098358e-07, + "loss": 0.0143, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 288 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.72918701171875, + "epoch": 0.289, + "grad_norm": 0.11760606290581059, + "kl": 0.0582275390625, + "learning_rate": 9.055697555690607e-07, + "loss": 0.0024, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 289 + }, + { + "clip_ratio": 0.0, + "completion_length": 529.0000152587891, + "epoch": 0.29, + "grad_norm": 1.2254215114645115, + "kl": 0.0640869140625, + "learning_rate": 9.046048391230247e-07, + "loss": 0.0729, + "reward": 1.4739583730697632, + "reward_std": 0.07278125733137131, + "rewards/accuracy_reward": 0.4791666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 290 + }, + { + "clip_ratio": 0.0, + "completion_length": 422.47918701171875, + "epoch": 0.291, + "grad_norm": 1.0097472716960079, + "kl": 0.0528564453125, + "learning_rate": 9.036356019289309e-07, + "loss": 0.0158, + "reward": 1.7708333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 291 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.5625, + "epoch": 0.292, + "grad_norm": 1.2469136180753613, + "kl": 0.0570068359375, + "learning_rate": 9.026620557966279e-07, + "loss": 0.0303, + "reward": 1.875, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 292 + }, + { + "clip_ratio": 0.0, + "completion_length": 434.5625, + "epoch": 0.293, + "grad_norm": 0.9532204430113935, + "kl": 0.0572509765625, + "learning_rate": 9.016842125884684e-07, + "loss": 0.0799, + "reward": 1.828125, + "reward_std": 0.1281561702489853, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 293 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.5208435058594, + "epoch": 0.294, + "grad_norm": 1.733183243712599, + "kl": 0.067626953125, + "learning_rate": 9.007020842191634e-07, + "loss": -0.0534, + "reward": 1.7083333730697632, + "reward_std": 0.29193708300590515, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 294 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.89585876464844, + "epoch": 0.295, + "grad_norm": 0.9847953426021161, + "kl": 0.0587158203125, + "learning_rate": 8.997156826556369e-07, + "loss": -0.0223, + "reward": 1.625, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 295 + }, + { + "clip_ratio": 0.0, + "completion_length": 616.9583740234375, + "epoch": 0.296, + "grad_norm": 1.3963657945325254, + "kl": 0.07470703125, + "learning_rate": 8.987250199168808e-07, + "loss": 0.0493, + "reward": 1.9166666865348816, + "reward_std": 0.18523553758859634, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 296 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.22918701171875, + "epoch": 0.297, + "grad_norm": 1.1706032627741179, + "kl": 0.064697265625, + "learning_rate": 8.977301080738079e-07, + "loss": 0.0047, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 297 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.22918701171875, + "epoch": 0.298, + "grad_norm": 1.3839329084946337, + "kl": 0.0732421875, + "learning_rate": 8.967309592491052e-07, + "loss": 0.0126, + "reward": 1.7291666865348816, + "reward_std": 0.21037911623716354, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 298 + }, + { + "clip_ratio": 0.0, + "completion_length": 493.9166717529297, + "epoch": 0.299, + "grad_norm": 1.615376030628624, + "kl": 0.0731201171875, + "learning_rate": 8.957275856170855e-07, + "loss": 0.0587, + "reward": 1.5000000596046448, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.5000000204890966, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 299 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.4583587646484, + "epoch": 0.3, + "grad_norm": 1.0229873654833457, + "kl": 0.0693359375, + "learning_rate": 8.9471999940354e-07, + "loss": 0.0167, + "reward": 1.9166666865348816, + "reward_std": 0.12309150397777557, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 300 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.5416717529297, + "epoch": 0.301, + "grad_norm": 1.9010664501913601, + "kl": 0.0703125, + "learning_rate": 8.937082128855891e-07, + "loss": 0.0487, + "reward": 1.8072917461395264, + "reward_std": 0.21330247819423676, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 301 + }, + { + "clip_ratio": 0.0, + "completion_length": 548.6458435058594, + "epoch": 0.302, + "grad_norm": 0.82961455607938, + "kl": 0.06884765625, + "learning_rate": 8.926922383915315e-07, + "loss": 0.0223, + "reward": 1.8125, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 302 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.3333435058594, + "epoch": 0.303, + "grad_norm": 1.1853334238442175, + "kl": 0.0751953125, + "learning_rate": 8.916720883006963e-07, + "loss": 0.0135, + "reward": 1.7291666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 303 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.5625152587891, + "epoch": 0.304, + "grad_norm": 1.9848921579633452, + "kl": 0.07958984375, + "learning_rate": 8.906477750432903e-07, + "loss": 0.0365, + "reward": 1.8281250596046448, + "reward_std": 0.29483576118946075, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 304 + }, + { + "clip_ratio": 0.0, + "completion_length": 603.6458740234375, + "epoch": 0.305, + "grad_norm": 1.4544800013147805, + "kl": 0.089111328125, + "learning_rate": 8.896193111002475e-07, + "loss": 0.0455, + "reward": 1.6145833730697632, + "reward_std": 0.2064298689365387, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 305 + }, + { + "clip_ratio": 0.0, + "completion_length": 397.9791717529297, + "epoch": 0.306, + "grad_norm": 0.11913652369951816, + "kl": 0.058349609375, + "learning_rate": 8.88586709003076e-07, + "loss": 0.0024, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 306 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.4583435058594, + "epoch": 0.307, + "grad_norm": 1.3479517861534447, + "kl": 0.077880859375, + "learning_rate": 8.875499813337067e-07, + "loss": 0.0527, + "reward": 1.78125, + "reward_std": 0.24761711061000824, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 307 + }, + { + "clip_ratio": 0.0, + "completion_length": 438.9375, + "epoch": 0.308, + "grad_norm": 1.133193989574027, + "kl": 0.068359375, + "learning_rate": 8.865091407243394e-07, + "loss": -0.0027, + "reward": 1.5208333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.520833333954215, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 308 + }, + { + "clip_ratio": 0.0, + "completion_length": 405.97918701171875, + "epoch": 0.309, + "grad_norm": 0.13700408202121145, + "kl": 0.063232421875, + "learning_rate": 8.85464199857288e-07, + "loss": 0.0027, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 309 + }, + { + "clip_ratio": 0.0, + "completion_length": 526.0625, + "epoch": 0.31, + "grad_norm": 1.7134568131475336, + "kl": 0.08837890625, + "learning_rate": 8.844151714648274e-07, + "loss": 0.0126, + "reward": 1.7916666865348816, + "reward_std": 0.18523553758859634, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 310 + }, + { + "clip_ratio": 0.0, + "completion_length": 526.1875152587891, + "epoch": 0.311, + "grad_norm": 1.632802431264856, + "kl": 0.082763671875, + "learning_rate": 8.833620683290375e-07, + "loss": -0.0325, + "reward": 1.9062500596046448, + "reward_std": 0.22131992876529694, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 311 + }, + { + "clip_ratio": 0.0, + "completion_length": 572.6666870117188, + "epoch": 0.312, + "grad_norm": 1.5253663359736243, + "kl": 0.083251953125, + "learning_rate": 8.823049032816478e-07, + "loss": 0.0206, + "reward": 1.8958333730697632, + "reward_std": 0.2574043273925781, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 312 + }, + { + "clip_ratio": 0.0, + "completion_length": 621.6875, + "epoch": 0.313, + "grad_norm": 1.4695273684515788, + "kl": 0.093505859375, + "learning_rate": 8.812436892038805e-07, + "loss": 0.0134, + "reward": 1.6770833730697632, + "reward_std": 0.2797093912959099, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 313 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.2916717529297, + "epoch": 0.314, + "grad_norm": 1.1033631567573143, + "kl": 0.082275390625, + "learning_rate": 8.801784390262943e-07, + "loss": 0.0216, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 314 + }, + { + "clip_ratio": 0.0, + "completion_length": 574.9166870117188, + "epoch": 0.315, + "grad_norm": 1.5233693323934243, + "kl": 0.08251953125, + "learning_rate": 8.791091657286267e-07, + "loss": 0.0394, + "reward": 1.8958333730697632, + "reward_std": 0.21037911623716354, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 315 + }, + { + "clip_ratio": 0.0, + "completion_length": 457.9791717529297, + "epoch": 0.316, + "grad_norm": 1.049999392705825, + "kl": 0.0791015625, + "learning_rate": 8.780358823396352e-07, + "loss": -0.0344, + "reward": 1.7916666865348816, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 316 + }, + { + "clip_ratio": 0.0, + "completion_length": 561.5208435058594, + "epoch": 0.317, + "grad_norm": 1.335210375686767, + "kl": 0.0869140625, + "learning_rate": 8.769586019369391e-07, + "loss": 0.027, + "reward": 1.9322917461395264, + "reward_std": 0.1700936183333397, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 317 + }, + { + "clip_ratio": 0.0, + "completion_length": 488.3958435058594, + "epoch": 0.318, + "grad_norm": 1.7608893285689193, + "kl": 0.06982421875, + "learning_rate": 8.758773376468604e-07, + "loss": 0.0186, + "reward": 1.9322916865348816, + "reward_std": 0.2039930783212185, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 318 + }, + { + "clip_ratio": 0.0, + "completion_length": 554.1458587646484, + "epoch": 0.319, + "grad_norm": 2.2483486848963605, + "kl": 0.091552734375, + "learning_rate": 8.747921026442629e-07, + "loss": 0.154, + "reward": 1.7916666865348816, + "reward_std": 0.26742906868457794, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 319 + }, + { + "clip_ratio": 0.0, + "completion_length": 669.4375305175781, + "epoch": 0.32, + "grad_norm": 0.7334529033556741, + "kl": 0.087158203125, + "learning_rate": 8.737029101523929e-07, + "loss": 0.0158, + "reward": 1.875, + "reward_std": 0.13055823743343353, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 320 + }, + { + "clip_ratio": 0.0, + "completion_length": 612.3333435058594, + "epoch": 0.321, + "grad_norm": 1.6871249628307925, + "kl": 0.10595703125, + "learning_rate": 8.726097734427172e-07, + "loss": -0.0049, + "reward": 1.6458333730697632, + "reward_std": 0.3749151676893234, + "rewards/accuracy_reward": 0.645833358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 321 + }, + { + "clip_ratio": 0.0, + "completion_length": 597.8333435058594, + "epoch": 0.322, + "grad_norm": 1.8109359792426167, + "kl": 0.0849609375, + "learning_rate": 8.715127058347614e-07, + "loss": 0.0339, + "reward": 1.7447916865348816, + "reward_std": 0.2955199033021927, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 322 + }, + { + "clip_ratio": 0.0, + "completion_length": 576.0, + "epoch": 0.323, + "grad_norm": 1.4290500373152046, + "kl": 0.09375, + "learning_rate": 8.704117206959484e-07, + "loss": 0.0079, + "reward": 1.9166667461395264, + "reward_std": 0.19462472200393677, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 323 + }, + { + "clip_ratio": 0.0, + "completion_length": 525.3958435058594, + "epoch": 0.324, + "grad_norm": 1.5722480741458937, + "kl": 0.07861328125, + "learning_rate": 8.693068314414344e-07, + "loss": 0.025, + "reward": 1.8125000596046448, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 324 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.6458587646484, + "epoch": 0.325, + "grad_norm": 0.14275340915080217, + "kl": 0.08203125, + "learning_rate": 8.681980515339463e-07, + "loss": 0.0036, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 325 + }, + { + "clip_ratio": 0.0, + "completion_length": 644.8125, + "epoch": 0.326, + "grad_norm": 2.03189865058837, + "kl": 0.101318359375, + "learning_rate": 8.670853944836176e-07, + "loss": 0.1319, + "reward": 1.6510416865348816, + "reward_std": 0.34709176421165466, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 326 + }, + { + "clip_ratio": 0.0, + "completion_length": 617.9583740234375, + "epoch": 0.327, + "grad_norm": 1.3715228051278106, + "kl": 0.0947265625, + "learning_rate": 8.659688738478231e-07, + "loss": 0.0056, + "reward": 1.8541667461395264, + "reward_std": 0.22604453563690186, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 327 + }, + { + "clip_ratio": 0.0, + "completion_length": 550.3541870117188, + "epoch": 0.328, + "grad_norm": 1.3300261340063773, + "kl": 0.084716796875, + "learning_rate": 8.648485032310144e-07, + "loss": 0.0096, + "reward": 1.8177083730697632, + "reward_std": 0.26080769300460815, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 328 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.16668701171875, + "epoch": 0.329, + "grad_norm": 1.0651360953195264, + "kl": 0.06982421875, + "learning_rate": 8.63724296284554e-07, + "loss": 0.0005, + "reward": 1.8489583730697632, + "reward_std": 0.1234515830874443, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 329 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.8958435058594, + "epoch": 0.33, + "grad_norm": 1.1527589242621392, + "kl": 0.068115234375, + "learning_rate": 8.625962667065487e-07, + "loss": -0.002, + "reward": 1.9375, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 330 + }, + { + "clip_ratio": 0.0, + "completion_length": 726.5833435058594, + "epoch": 0.331, + "grad_norm": 1.8181438264423686, + "kl": 0.123046875, + "learning_rate": 8.614644282416831e-07, + "loss": 0.0415, + "reward": 1.5, + "reward_std": 0.4227762967348099, + "rewards/accuracy_reward": 0.5208333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 331 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.125, + "epoch": 0.332, + "grad_norm": 12.999889365887881, + "kl": 0.129638671875, + "learning_rate": 8.603287946810513e-07, + "loss": 0.0498, + "reward": 1.9375000596046448, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 332 + }, + { + "clip_ratio": 0.0, + "completion_length": 608.0625305175781, + "epoch": 0.333, + "grad_norm": 1.3589962087124057, + "kl": 0.09716796875, + "learning_rate": 8.591893798619903e-07, + "loss": 0.0291, + "reward": 1.8958333730697632, + "reward_std": 0.21037911623716354, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 333 + }, + { + "clip_ratio": 0.0, + "completion_length": 603.6666717529297, + "epoch": 0.334, + "grad_norm": 1.2683173147380378, + "kl": 0.09521484375, + "learning_rate": 8.580461976679099e-07, + "loss": 0.0854, + "reward": 1.8489583730697632, + "reward_std": 0.2336074709892273, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 334 + }, + { + "clip_ratio": 0.0, + "completion_length": 583.2291870117188, + "epoch": 0.335, + "grad_norm": 1.4792294059034734, + "kl": 0.09716796875, + "learning_rate": 8.568992620281243e-07, + "loss": 0.026, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 335 + }, + { + "clip_ratio": 0.0, + "completion_length": 551.0208435058594, + "epoch": 0.336, + "grad_norm": 1.7022289003271576, + "kl": 0.096923828125, + "learning_rate": 8.557485869176825e-07, + "loss": -0.0263, + "reward": 1.7395833730697632, + "reward_std": 0.25259073823690414, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 336 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.43751525878906, + "epoch": 0.337, + "grad_norm": 1.0781904768916355, + "kl": 0.080078125, + "learning_rate": 8.545941863571973e-07, + "loss": 0.0162, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 337 + }, + { + "clip_ratio": 0.0, + "completion_length": 508.41668701171875, + "epoch": 0.338, + "grad_norm": 1.173175067685679, + "kl": 0.098388671875, + "learning_rate": 8.534360744126753e-07, + "loss": 0.0335, + "reward": 1.96875, + "reward_std": 0.07769769430160522, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 338 + }, + { + "clip_ratio": 0.0, + "completion_length": 579.3750152587891, + "epoch": 0.339, + "grad_norm": 1.1744380518666515, + "kl": 0.092529296875, + "learning_rate": 8.522742651953456e-07, + "loss": 0.0186, + "reward": 1.9635416865348816, + "reward_std": 0.09573988616466522, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 339 + }, + { + "clip_ratio": 0.0, + "completion_length": 511.6041717529297, + "epoch": 0.34, + "grad_norm": 1.3633594610713922, + "kl": 0.084716796875, + "learning_rate": 8.511087728614862e-07, + "loss": -0.001, + "reward": 1.8541666865348816, + "reward_std": 0.22604453563690186, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 340 + }, + { + "clip_ratio": 0.0, + "completion_length": 527.2291870117188, + "epoch": 0.341, + "grad_norm": 1.7579493243510367, + "kl": 0.099853515625, + "learning_rate": 8.499396116122535e-07, + "loss": -0.0084, + "reward": 1.6979167461395264, + "reward_std": 0.2897341400384903, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 341 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.77085876464844, + "epoch": 0.342, + "grad_norm": 1.3486506673603433, + "kl": 0.090576171875, + "learning_rate": 8.487667956935087e-07, + "loss": 0.0241, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 342 + }, + { + "clip_ratio": 0.0, + "completion_length": 506.8333435058594, + "epoch": 0.343, + "grad_norm": 1.060038239319139, + "kl": 0.088623046875, + "learning_rate": 8.475903393956433e-07, + "loss": -0.0124, + "reward": 1.8958333730697632, + "reward_std": 0.12873217463493347, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 343 + }, + { + "clip_ratio": 0.0, + "completion_length": 560.7291870117188, + "epoch": 0.344, + "grad_norm": 1.8897855990332824, + "kl": 0.10986328125, + "learning_rate": 8.464102570534061e-07, + "loss": -0.0813, + "reward": 1.8333333730697632, + "reward_std": 0.3083270341157913, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 344 + }, + { + "clip_ratio": 0.0, + "completion_length": 560.375, + "epoch": 0.345, + "grad_norm": 1.5781997371861605, + "kl": 0.099609375, + "learning_rate": 8.452265630457282e-07, + "loss": 0.1018, + "reward": 1.8593750596046448, + "reward_std": 0.22860805690288544, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 345 + }, + { + "clip_ratio": 0.0, + "completion_length": 595.0208740234375, + "epoch": 0.346, + "grad_norm": 1.549241907434681, + "kl": 0.092041015625, + "learning_rate": 8.440392717955475e-07, + "loss": 0.0624, + "reward": 1.9375, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 346 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.2708435058594, + "epoch": 0.347, + "grad_norm": 1.090363468823661, + "kl": 0.085693359375, + "learning_rate": 8.428483977696328e-07, + "loss": 0.0047, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 347 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.8333435058594, + "epoch": 0.348, + "grad_norm": 1.6064296670377103, + "kl": 0.08056640625, + "learning_rate": 8.416539554784089e-07, + "loss": 0.0253, + "reward": 1.8541666865348816, + "reward_std": 0.20272701978683472, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 348 + }, + { + "clip_ratio": 0.0, + "completion_length": 467.31251525878906, + "epoch": 0.349, + "grad_norm": 0.16555077667993479, + "kl": 0.07861328125, + "learning_rate": 8.404559594757777e-07, + "loss": 0.0034, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 349 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.54168701171875, + "epoch": 0.35, + "grad_norm": 1.2560318303630802, + "kl": 0.091796875, + "learning_rate": 8.392544243589427e-07, + "loss": -0.0241, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 350 + }, + { + "clip_ratio": 0.0, + "completion_length": 462.35418701171875, + "epoch": 0.351, + "grad_norm": 0.1530072283362282, + "kl": 0.08984375, + "learning_rate": 8.3804936476823e-07, + "loss": 0.0036, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 351 + }, + { + "clip_ratio": 0.0, + "completion_length": 446.2291717529297, + "epoch": 0.352, + "grad_norm": 0.14873820420361133, + "kl": 0.07421875, + "learning_rate": 8.368407953869103e-07, + "loss": 0.0031, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 352 + }, + { + "clip_ratio": 0.0, + "completion_length": 539.1875305175781, + "epoch": 0.353, + "grad_norm": 1.1457511579066482, + "kl": 0.08154296875, + "learning_rate": 8.356287309410204e-07, + "loss": 0.0745, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 353 + }, + { + "clip_ratio": 0.0, + "completion_length": 573.0000305175781, + "epoch": 0.354, + "grad_norm": 1.2506551209220567, + "kl": 0.10791015625, + "learning_rate": 8.344131861991828e-07, + "loss": -0.0084, + "reward": 1.7708333730697632, + "reward_std": 0.21037912368774414, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 354 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.4166870117188, + "epoch": 0.355, + "grad_norm": 2.0351339386414735, + "kl": 0.10595703125, + "learning_rate": 8.331941759724268e-07, + "loss": -0.0391, + "reward": 1.875, + "reward_std": 0.22613351047039032, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 355 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.8958740234375, + "epoch": 0.356, + "grad_norm": 1.753651906481268, + "kl": 0.08349609375, + "learning_rate": 8.319717151140072e-07, + "loss": -0.0632, + "reward": 1.7916667461395264, + "reward_std": 0.22040386497974396, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 356 + }, + { + "clip_ratio": 0.0, + "completion_length": 537.9166870117188, + "epoch": 0.357, + "grad_norm": 1.4397028938630096, + "kl": 0.0908203125, + "learning_rate": 8.307458185192238e-07, + "loss": 0.068, + "reward": 1.875, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 357 + }, + { + "clip_ratio": 0.0, + "completion_length": 489.6875305175781, + "epoch": 0.358, + "grad_norm": 1.4827034462032442, + "kl": 0.076416015625, + "learning_rate": 8.295165011252396e-07, + "loss": 0.0028, + "reward": 1.8125, + "reward_std": 0.2436249852180481, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 358 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.0833435058594, + "epoch": 0.359, + "grad_norm": 0.12982784855812285, + "kl": 0.073486328125, + "learning_rate": 8.282837779108993e-07, + "loss": 0.003, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 359 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.62501525878906, + "epoch": 0.36, + "grad_norm": 1.2043950398822112, + "kl": 0.0712890625, + "learning_rate": 8.270476638965461e-07, + "loss": 0.022, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 360 + }, + { + "clip_ratio": 0.0, + "completion_length": 469.0416717529297, + "epoch": 0.361, + "grad_norm": 1.5294320060286595, + "kl": 0.068603515625, + "learning_rate": 8.258081741438394e-07, + "loss": 0.0154, + "reward": 1.7291666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 361 + }, + { + "clip_ratio": 0.0, + "completion_length": 484.2916717529297, + "epoch": 0.362, + "grad_norm": 0.9723332963261183, + "kl": 0.072509765625, + "learning_rate": 8.245653237555705e-07, + "loss": 0.007, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 362 + }, + { + "clip_ratio": 0.0, + "completion_length": 432.8333435058594, + "epoch": 0.363, + "grad_norm": 1.5069469978704204, + "kl": 0.068359375, + "learning_rate": 8.23319127875479e-07, + "loss": 0.0232, + "reward": 1.9687500596046448, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 363 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.3750305175781, + "epoch": 0.364, + "grad_norm": 1.1930864136693693, + "kl": 0.068603515625, + "learning_rate": 8.220696016880687e-07, + "loss": 0.0686, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 364 + }, + { + "clip_ratio": 0.0, + "completion_length": 485.0000305175781, + "epoch": 0.365, + "grad_norm": 1.7817636999623176, + "kl": 0.078857421875, + "learning_rate": 8.208167604184217e-07, + "loss": 0.0397, + "reward": 1.9166666865348816, + "reward_std": 0.18523553758859634, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 365 + }, + { + "clip_ratio": 0.0, + "completion_length": 482.875, + "epoch": 0.366, + "grad_norm": 2.1766087104472525, + "kl": 0.087158203125, + "learning_rate": 8.195606193320136e-07, + "loss": 0.0038, + "reward": 1.8125000596046448, + "reward_std": 0.3000393956899643, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 366 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.81251525878906, + "epoch": 0.367, + "grad_norm": 1.316846946655349, + "kl": 0.065185546875, + "learning_rate": 8.183011937345271e-07, + "loss": 0.013, + "reward": 1.7083333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 367 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.1458435058594, + "epoch": 0.368, + "grad_norm": 1.248626414757594, + "kl": 0.08203125, + "learning_rate": 8.170384989716657e-07, + "loss": -0.037, + "reward": 1.9375000596046448, + "reward_std": 0.16948115825653076, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 368 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.37501525878906, + "epoch": 0.369, + "grad_norm": 1.0199782335615606, + "kl": 0.07373046875, + "learning_rate": 8.157725504289664e-07, + "loss": -0.0289, + "reward": 1.8333333730697632, + "reward_std": 0.12309150397777557, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 369 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.8958435058594, + "epoch": 0.37, + "grad_norm": 0.94982525136099, + "kl": 0.083984375, + "learning_rate": 8.145033635316128e-07, + "loss": -0.0013, + "reward": 1.7916666865348816, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 370 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.2083587646484, + "epoch": 0.371, + "grad_norm": 1.8194716028119047, + "kl": 0.083740234375, + "learning_rate": 8.13230953744247e-07, + "loss": -0.0724, + "reward": 1.7812500596046448, + "reward_std": 0.2897341623902321, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 371 + }, + { + "clip_ratio": 0.0, + "completion_length": 397.43751525878906, + "epoch": 0.372, + "grad_norm": 1.7080148183061603, + "kl": 0.0609130859375, + "learning_rate": 8.119553365707802e-07, + "loss": 0.0417, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 372 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.2708435058594, + "epoch": 0.373, + "grad_norm": 1.0151951615675194, + "kl": 0.066650390625, + "learning_rate": 8.106765275542053e-07, + "loss": 0.0113, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 373 + }, + { + "clip_ratio": 0.0, + "completion_length": 571.0625305175781, + "epoch": 0.374, + "grad_norm": 1.8068360284906588, + "kl": 0.099609375, + "learning_rate": 8.093945422764069e-07, + "loss": 0.0191, + "reward": 1.8541667461395264, + "reward_std": 0.22604453563690186, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 374 + }, + { + "clip_ratio": 0.0, + "completion_length": 759.6041870117188, + "epoch": 0.375, + "grad_norm": 1.8369452651781422, + "kl": 0.0927734375, + "learning_rate": 8.081093963579707e-07, + "loss": 0.0693, + "reward": 1.765625, + "reward_std": 0.27649710327386856, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 375 + }, + { + "clip_ratio": 0.0, + "completion_length": 541.0000305175781, + "epoch": 0.376, + "grad_norm": 0.9246071259306416, + "kl": 0.08154296875, + "learning_rate": 8.068211054579943e-07, + "loss": 0.0231, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 376 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.3958435058594, + "epoch": 0.377, + "grad_norm": 1.8088015127518082, + "kl": 0.08984375, + "learning_rate": 8.055296852738956e-07, + "loss": 0.1191, + "reward": 1.9270833730697632, + "reward_std": 0.17128896713256836, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 377 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.0000305175781, + "epoch": 0.378, + "grad_norm": 1.00437824388029, + "kl": 0.08740234375, + "learning_rate": 8.04235151541222e-07, + "loss": 0.0341, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 378 + }, + { + "clip_ratio": 0.0, + "completion_length": 510.3958435058594, + "epoch": 0.379, + "grad_norm": 1.621569522092847, + "kl": 0.079345703125, + "learning_rate": 8.029375200334587e-07, + "loss": 0.0558, + "reward": 1.8958333730697632, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 379 + }, + { + "clip_ratio": 0.0, + "completion_length": 526.9375305175781, + "epoch": 0.38, + "grad_norm": 1.7173925029063968, + "kl": 0.076416015625, + "learning_rate": 8.01636806561836e-07, + "loss": 0.0262, + "reward": 1.9375, + "reward_std": 0.16948114335536957, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 380 + }, + { + "clip_ratio": 0.0, + "completion_length": 535.7291870117188, + "epoch": 0.381, + "grad_norm": 1.2080771599564561, + "kl": 0.08056640625, + "learning_rate": 8.003330269751372e-07, + "loss": 0.0129, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 381 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.3125, + "epoch": 0.382, + "grad_norm": 1.7155137556890026, + "kl": 0.101806640625, + "learning_rate": 7.990261971595048e-07, + "loss": -0.0322, + "reward": 1.8177083730697632, + "reward_std": 0.29577653110027313, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 382 + }, + { + "clip_ratio": 0.0, + "completion_length": 637.7500305175781, + "epoch": 0.383, + "grad_norm": 1.1075346551188545, + "kl": 0.083984375, + "learning_rate": 7.977163330382479e-07, + "loss": 0.0078, + "reward": 1.9062500596046448, + "reward_std": 0.18150995671749115, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 383 + }, + { + "clip_ratio": 0.0, + "completion_length": 602.3125305175781, + "epoch": 0.384, + "grad_norm": 2.0654902674698077, + "kl": 0.10107421875, + "learning_rate": 7.964034505716476e-07, + "loss": 0.0747, + "reward": 1.8645833730697632, + "reward_std": 0.3186322972178459, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 384 + }, + { + "clip_ratio": 0.0, + "completion_length": 676.6666870117188, + "epoch": 0.385, + "grad_norm": 1.665189890086692, + "kl": 0.1201171875, + "learning_rate": 7.950875657567621e-07, + "loss": 0.1235, + "reward": 1.7708333730697632, + "reward_std": 0.3117125928401947, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 385 + }, + { + "clip_ratio": 0.0, + "completion_length": 601.4375152587891, + "epoch": 0.386, + "grad_norm": 1.0878552716172778, + "kl": 0.0863037109375, + "learning_rate": 7.93768694627233e-07, + "loss": -0.0737, + "reward": 1.796875, + "reward_std": 0.0965491235256195, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 386 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.7708435058594, + "epoch": 0.387, + "grad_norm": 1.1884535608368862, + "kl": 0.082275390625, + "learning_rate": 7.924468532530883e-07, + "loss": 0.0019, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 387 + }, + { + "clip_ratio": 0.0, + "completion_length": 462.6666717529297, + "epoch": 0.388, + "grad_norm": 0.15406182753082623, + "kl": 0.07421875, + "learning_rate": 7.911220577405484e-07, + "loss": 0.003, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 388 + }, + { + "clip_ratio": 0.0, + "completion_length": 629.75, + "epoch": 0.389, + "grad_norm": 1.7379734000173628, + "kl": 0.105224609375, + "learning_rate": 7.897943242318285e-07, + "loss": -0.086, + "reward": 1.59375, + "reward_std": 0.2785986512899399, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 389 + }, + { + "clip_ratio": 0.0, + "completion_length": 602.0833435058594, + "epoch": 0.39, + "grad_norm": 1.5363258606007697, + "kl": 0.096435546875, + "learning_rate": 7.884636689049422e-07, + "loss": 0.079, + "reward": 1.875, + "reward_std": 0.22613351047039032, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 390 + }, + { + "clip_ratio": 0.0, + "completion_length": 458.9583435058594, + "epoch": 0.391, + "grad_norm": 1.1039669535198295, + "kl": 0.08251953125, + "learning_rate": 7.871301079735049e-07, + "loss": 0.0127, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 391 + }, + { + "clip_ratio": 0.0, + "completion_length": 618.3125305175781, + "epoch": 0.392, + "grad_norm": 2.4777435773224434, + "kl": 0.106689453125, + "learning_rate": 7.857936576865356e-07, + "loss": 0.1429, + "reward": 1.765625, + "reward_std": 0.3965885192155838, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 392 + }, + { + "clip_ratio": 0.0, + "completion_length": 599.2083435058594, + "epoch": 0.393, + "grad_norm": 1.5336626783219809, + "kl": 0.096435546875, + "learning_rate": 7.844543343282595e-07, + "loss": 0.1085, + "reward": 1.8541666865348816, + "reward_std": 0.23615825176239014, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 393 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.0416717529297, + "epoch": 0.394, + "grad_norm": 1.877874498695064, + "kl": 0.093994140625, + "learning_rate": 7.831121542179086e-07, + "loss": 0.0039, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 394 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.8125305175781, + "epoch": 0.395, + "grad_norm": 1.255686839878163, + "kl": 0.089111328125, + "learning_rate": 7.817671337095244e-07, + "loss": 0.0842, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 395 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.7500152587891, + "epoch": 0.396, + "grad_norm": 1.5837068023036418, + "kl": 0.09228515625, + "learning_rate": 7.804192891917571e-07, + "loss": 0.0071, + "reward": 1.9739583730697632, + "reward_std": 0.09021097794175148, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 396 + }, + { + "clip_ratio": 0.0, + "completion_length": 576.0416870117188, + "epoch": 0.397, + "grad_norm": 1.9755570049887077, + "kl": 0.087158203125, + "learning_rate": 7.79068637087667e-07, + "loss": 0.1868, + "reward": 1.625, + "reward_std": 0.24643342196941376, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 397 + }, + { + "clip_ratio": 0.0, + "completion_length": 546.3125, + "epoch": 0.398, + "grad_norm": 1.5961105585901436, + "kl": 0.098388671875, + "learning_rate": 7.777151938545235e-07, + "loss": -0.0368, + "reward": 1.6927083730697632, + "reward_std": 0.2631203308701515, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 398 + }, + { + "clip_ratio": 0.0, + "completion_length": 573.5833587646484, + "epoch": 0.399, + "grad_norm": 1.4712910394298655, + "kl": 0.106201171875, + "learning_rate": 7.763589759836058e-07, + "loss": 0.0465, + "reward": 1.8958333730697632, + "reward_std": 0.15674780309200287, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 399 + }, + { + "clip_ratio": 0.0, + "completion_length": 627.5208587646484, + "epoch": 0.4, + "grad_norm": 1.2017833764610608, + "kl": 0.109130859375, + "learning_rate": 7.75e-07, + "loss": 0.0222, + "reward": 1.9166666865348816, + "reward_std": 0.14862647652626038, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 400 + }, + { + "clip_ratio": 0.0, + "completion_length": 520.9375152587891, + "epoch": 0.401, + "grad_norm": 2.099349865984199, + "kl": 0.09375, + "learning_rate": 7.736382824623999e-07, + "loss": 0.0935, + "reward": 1.8125, + "reward_std": 0.19526028633117676, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 401 + }, + { + "clip_ratio": 0.0, + "completion_length": 555.9791870117188, + "epoch": 0.402, + "grad_norm": 0.1542523461981475, + "kl": 0.0888671875, + "learning_rate": 7.72273839962904e-07, + "loss": 0.0038, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 402 + }, + { + "clip_ratio": 0.0, + "completion_length": 514.1666870117188, + "epoch": 0.403, + "grad_norm": 1.2450241946443927, + "kl": 0.094482421875, + "learning_rate": 7.709066891268133e-07, + "loss": 0.0305, + "reward": 1.7604166865348816, + "reward_std": 0.08356975018978119, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 403 + }, + { + "clip_ratio": 0.0, + "completion_length": 497.3333435058594, + "epoch": 0.404, + "grad_norm": 1.4572915644406153, + "kl": 0.099853515625, + "learning_rate": 7.695368466124296e-07, + "loss": 0.0089, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 404 + }, + { + "clip_ratio": 0.0, + "completion_length": 553.9375305175781, + "epoch": 0.405, + "grad_norm": 1.0273056796750832, + "kl": 0.093994140625, + "learning_rate": 7.681643291108517e-07, + "loss": -0.0252, + "reward": 1.78125, + "reward_std": 0.07769769430160522, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 405 + }, + { + "clip_ratio": 0.0, + "completion_length": 601.6666870117188, + "epoch": 0.406, + "grad_norm": 1.3604992657768664, + "kl": 0.107421875, + "learning_rate": 7.667891533457718e-07, + "loss": 0.0998, + "reward": 1.6770833730697632, + "reward_std": 0.2500183582305908, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 406 + }, + { + "clip_ratio": 0.0, + "completion_length": 527.9583435058594, + "epoch": 0.407, + "grad_norm": 0.966903909176943, + "kl": 0.1015625, + "learning_rate": 7.654113360732732e-07, + "loss": 0.0064, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 407 + }, + { + "clip_ratio": 0.0, + "completion_length": 575.1250152587891, + "epoch": 0.408, + "grad_norm": 1.8716219770489841, + "kl": 0.103515625, + "learning_rate": 7.640308940816239e-07, + "loss": 0.1477, + "reward": 1.9218750596046448, + "reward_std": 0.18833883479237556, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 408 + }, + { + "clip_ratio": 0.0, + "completion_length": 434.2291717529297, + "epoch": 0.409, + "grad_norm": 1.2146316659168699, + "kl": 0.08837890625, + "learning_rate": 7.626478441910744e-07, + "loss": 0.0286, + "reward": 1.9947916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 409 + }, + { + "clip_ratio": 0.0, + "completion_length": 590.5625305175781, + "epoch": 0.41, + "grad_norm": 1.5300992786230176, + "kl": 0.12939453125, + "learning_rate": 7.612622032536507e-07, + "loss": -0.017, + "reward": 1.5729167461395264, + "reward_std": 0.19669440388679504, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 410 + }, + { + "clip_ratio": 0.0, + "completion_length": 524.2708435058594, + "epoch": 0.411, + "grad_norm": 1.8382570850232949, + "kl": 0.12109375, + "learning_rate": 7.59873988152951e-07, + "loss": 0.1339, + "reward": 1.6979167461395264, + "reward_std": 0.13339675217866898, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 411 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.9791717529297, + "epoch": 0.412, + "grad_norm": 1.929994226152613, + "kl": 0.12646484375, + "learning_rate": 7.584832158039378e-07, + "loss": 0.0131, + "reward": 1.7708333730697632, + "reward_std": 0.21037911623716354, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 412 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.41668701171875, + "epoch": 0.413, + "grad_norm": 1.733834076494595, + "kl": 0.10498046875, + "learning_rate": 7.570899031527332e-07, + "loss": 0.0312, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 413 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.4583587646484, + "epoch": 0.414, + "grad_norm": 1.2957637458925562, + "kl": 0.1064453125, + "learning_rate": 7.556940671764124e-07, + "loss": -0.0028, + "reward": 1.9739583730697632, + "reward_std": 0.0749332383275032, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 414 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.5625, + "epoch": 0.415, + "grad_norm": 0.1899817475176635, + "kl": 0.10595703125, + "learning_rate": 7.54295724882796e-07, + "loss": 0.0046, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 415 + }, + { + "clip_ratio": 0.0, + "completion_length": 541.7916717529297, + "epoch": 0.416, + "grad_norm": 1.805765847716464, + "kl": 0.12451171875, + "learning_rate": 7.528948933102438e-07, + "loss": -0.0045, + "reward": 1.7916666865348816, + "reward_std": 0.17538414150476456, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 416 + }, + { + "clip_ratio": 0.0, + "completion_length": 530.1458435058594, + "epoch": 0.417, + "grad_norm": 3.5885449791663024, + "kl": 0.10791015625, + "learning_rate": 7.514915895274463e-07, + "loss": 0.151, + "reward": 1.9739583730697632, + "reward_std": 0.09021097794175148, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 417 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.25001525878906, + "epoch": 0.418, + "grad_norm": 1.1598781059620817, + "kl": 0.101806640625, + "learning_rate": 7.500858306332172e-07, + "loss": 0.0331, + "reward": 1.9375, + "reward_std": 0.11306675523519516, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 418 + }, + { + "clip_ratio": 0.0, + "completion_length": 644.6250305175781, + "epoch": 0.419, + "grad_norm": 2.6732058964346437, + "kl": 0.13720703125, + "learning_rate": 7.486776337562853e-07, + "loss": 0.2273, + "reward": 1.7552083730697632, + "reward_std": 0.2240002602338791, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 419 + }, + { + "clip_ratio": 0.0, + "completion_length": 622.8333587646484, + "epoch": 0.42, + "grad_norm": 3.3795722733526685, + "kl": 0.1435546875, + "learning_rate": 7.472670160550848e-07, + "loss": 0.3069, + "reward": 1.5572916865348816, + "reward_std": 0.2243468128144741, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 420 + }, + { + "clip_ratio": 0.0, + "completion_length": 589.5416870117188, + "epoch": 0.421, + "grad_norm": 1.8704747821193433, + "kl": 0.13134765625, + "learning_rate": 7.458539947175473e-07, + "loss": 0.1226, + "reward": 1.8802083730697632, + "reward_std": 0.21476569399237633, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 421 + }, + { + "clip_ratio": 0.0, + "completion_length": 684.9375305175781, + "epoch": 0.422, + "grad_norm": 2.8120148648671703, + "kl": 0.1767578125, + "learning_rate": 7.444385869608921e-07, + "loss": 0.2267, + "reward": 1.828125, + "reward_std": 0.3041449449956417, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 422 + }, + { + "clip_ratio": 0.0, + "completion_length": 784.6458435058594, + "epoch": 0.423, + "grad_norm": 3.175303473262236, + "kl": 0.18017578125, + "learning_rate": 7.430208100314156e-07, + "loss": 0.1409, + "reward": 1.7916666865348816, + "reward_std": 0.33538663387298584, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 423 + }, + { + "clip_ratio": 0.0, + "completion_length": 605.8333435058594, + "epoch": 0.424, + "grad_norm": 3.191789569856487, + "kl": 0.1640625, + "learning_rate": 7.416006812042827e-07, + "loss": 0.248, + "reward": 1.8697916865348816, + "reward_std": 0.3639189898967743, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 424 + }, + { + "clip_ratio": 0.0, + "completion_length": 598.8541870117188, + "epoch": 0.425, + "grad_norm": 3.5367001886921847, + "kl": 0.1845703125, + "learning_rate": 7.401782177833147e-07, + "loss": 0.1732, + "reward": 1.9375, + "reward_std": 0.1315547227859497, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 425 + }, + { + "clip_ratio": 0.0, + "completion_length": 616.5833435058594, + "epoch": 0.426, + "grad_norm": 2.778381457804399, + "kl": 0.220703125, + "learning_rate": 7.387534371007797e-07, + "loss": 0.1653, + "reward": 1.8750000596046448, + "reward_std": 0.26742906868457794, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 426 + }, + { + "clip_ratio": 0.0, + "completion_length": 574.9375152587891, + "epoch": 0.427, + "grad_norm": 4.587203247007512, + "kl": 0.19140625, + "learning_rate": 7.373263565171805e-07, + "loss": 0.3088, + "reward": 1.9062500596046448, + "reward_std": 0.21928749978542328, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 427 + }, + { + "clip_ratio": 0.0, + "completion_length": 482.5416717529297, + "epoch": 0.428, + "grad_norm": 3.2023821836646444, + "kl": 0.17578125, + "learning_rate": 7.358969934210438e-07, + "loss": 0.1805, + "reward": 1.984375, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 428 + }, + { + "clip_ratio": 0.0, + "completion_length": 618.8125152587891, + "epoch": 0.429, + "grad_norm": 2.3688294757006414, + "kl": 0.2431640625, + "learning_rate": 7.344653652287077e-07, + "loss": 0.1125, + "reward": 1.8437500596046448, + "reward_std": 0.2966437339782715, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 429 + }, + { + "clip_ratio": 0.0, + "completion_length": 725.875, + "epoch": 0.43, + "grad_norm": 4.953958776306139, + "kl": 0.36328125, + "learning_rate": 7.330314893841101e-07, + "loss": 0.1584, + "reward": 1.765625, + "reward_std": 0.32444924116134644, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 430 + }, + { + "clip_ratio": 0.0, + "completion_length": 773.2083435058594, + "epoch": 0.431, + "grad_norm": 6.659614072971348, + "kl": 0.482421875, + "learning_rate": 7.315953833585755e-07, + "loss": 0.3406, + "reward": 1.8125, + "reward_std": 0.32941484451293945, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 431 + }, + { + "clip_ratio": 0.0, + "completion_length": 933.6250305175781, + "epoch": 0.432, + "grad_norm": 7.018207690929855, + "kl": 0.69140625, + "learning_rate": 7.301570646506027e-07, + "loss": 0.3718, + "reward": 1.6770833730697632, + "reward_std": 0.363193154335022, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833432674408, + "step": 432 + }, + { + "clip_ratio": 0.0, + "completion_length": 935.875, + "epoch": 0.433, + "grad_norm": 7.878457807327411, + "kl": 0.876953125, + "learning_rate": 7.287165507856512e-07, + "loss": 0.3271, + "reward": 1.7239583730697632, + "reward_std": 0.3327288329601288, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 433 + }, + { + "clip_ratio": 0.0, + "completion_length": 619.625, + "epoch": 0.434, + "grad_norm": 14.996230435121328, + "kl": 0.794921875, + "learning_rate": 7.27273859315928e-07, + "loss": 0.43, + "reward": 1.9322916865348816, + "reward_std": 0.17774563655257225, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 434 + }, + { + "clip_ratio": 0.0, + "completion_length": 1145.7083740234375, + "epoch": 0.435, + "grad_norm": 5.61269437367935, + "kl": 1.8984375, + "learning_rate": 7.258290078201731e-07, + "loss": 0.1768, + "reward": 1.3020833730697632, + "reward_std": 0.48291391134262085, + "rewards/accuracy_reward": 0.5625000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7395833432674408, + "step": 435 + }, + { + "clip_ratio": 0.0, + "completion_length": 1187.1458740234375, + "epoch": 0.436, + "grad_norm": 10.215860642931588, + "kl": 2.6875, + "learning_rate": 7.243820139034464e-07, + "loss": 0.3937, + "reward": 1.5104166865348816, + "reward_std": 0.5014172494411469, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7395833432674408, + "step": 436 + }, + { + "clip_ratio": 0.0, + "completion_length": 1252.6041870117188, + "epoch": 0.437, + "grad_norm": 10.299726808387382, + "kl": 3.8203125, + "learning_rate": 7.229328951969115e-07, + "loss": 0.4188, + "reward": 1.5000000596046448, + "reward_std": 0.46128278970718384, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.7083333432674408, + "step": 437 + }, + { + "clip_ratio": 0.0, + "completion_length": 770.9791870117188, + "epoch": 0.438, + "grad_norm": 7.3595374700763365, + "kl": 2.5546875, + "learning_rate": 7.214816693576234e-07, + "loss": 0.3679, + "reward": 1.7916667461395264, + "reward_std": 0.3743432015180588, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8541666865348816, + "step": 438 + }, + { + "clip_ratio": 0.0, + "completion_length": 1065.0833435058594, + "epoch": 0.439, + "grad_norm": 10.461486581235732, + "kl": 2.64453125, + "learning_rate": 7.200283540683102e-07, + "loss": 0.4336, + "reward": 1.5416667461395264, + "reward_std": 0.4429154247045517, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.7916666865348816, + "step": 439 + }, + { + "clip_ratio": 0.0, + "completion_length": 994.4375, + "epoch": 0.44, + "grad_norm": 15.79461102655438, + "kl": 3.0234375, + "learning_rate": 7.185729670371604e-07, + "loss": 0.5894, + "reward": 1.5000000596046448, + "reward_std": 0.5931048691272736, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7916666865348816, + "step": 440 + }, + { + "clip_ratio": 0.0, + "completion_length": 1215.1666870117188, + "epoch": 0.441, + "grad_norm": 24.80579391824325, + "kl": 5.3125, + "learning_rate": 7.171155259976057e-07, + "loss": 0.5426, + "reward": 1.4947916865348816, + "reward_std": 0.4852359890937805, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.703125, + "step": 441 + }, + { + "clip_ratio": 0.0, + "completion_length": 1074.2083740234375, + "epoch": 0.442, + "grad_norm": 20.63734378009407, + "kl": 4.1953125, + "learning_rate": 7.156560487081051e-07, + "loss": 0.4523, + "reward": 1.5364583730697632, + "reward_std": 0.5057072937488556, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7864583432674408, + "step": 442 + }, + { + "clip_ratio": 0.0, + "completion_length": 752.8333740234375, + "epoch": 0.443, + "grad_norm": 44.62788970417622, + "kl": 1.6953125, + "learning_rate": 7.141945529519288e-07, + "loss": 0.5175, + "reward": 1.6562500596046448, + "reward_std": 0.4979724735021591, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 443 + }, + { + "clip_ratio": 0.0, + "completion_length": 1017.5208740234375, + "epoch": 0.444, + "grad_norm": 33.114559024092536, + "kl": 2.41796875, + "learning_rate": 7.127310565369415e-07, + "loss": 0.5509, + "reward": 1.390625, + "reward_std": 0.6407037973403931, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7864583432674408, + "step": 444 + }, + { + "clip_ratio": 0.0, + "completion_length": 770.6875305175781, + "epoch": 0.445, + "grad_norm": 23.995774880016523, + "kl": 2.5703125, + "learning_rate": 7.11265577295385e-07, + "loss": 0.6869, + "reward": 1.6197916865348816, + "reward_std": 0.4352649301290512, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 445 + }, + { + "clip_ratio": 0.0, + "completion_length": 860.3333435058594, + "epoch": 0.446, + "grad_norm": 61.471990783951334, + "kl": 5.3125, + "learning_rate": 7.097981330836616e-07, + "loss": 0.6768, + "reward": 1.5833333730697632, + "reward_std": 0.42580851912498474, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8125000298023224, + "step": 446 + }, + { + "clip_ratio": 0.0, + "completion_length": 833.8750305175781, + "epoch": 0.447, + "grad_norm": 31.471998864002433, + "kl": 5.0625, + "learning_rate": 7.083287417821157e-07, + "loss": 0.6939, + "reward": 1.6875, + "reward_std": 0.4197809398174286, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8125, + "step": 447 + }, + { + "clip_ratio": 0.0, + "completion_length": 981.4791870117188, + "epoch": 0.448, + "grad_norm": 9.204685220178225, + "kl": 4.234375, + "learning_rate": 7.068574212948169e-07, + "loss": 0.6583, + "reward": 1.6302083730697632, + "reward_std": 0.4747810959815979, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7760416865348816, + "step": 448 + }, + { + "clip_ratio": 0.0, + "completion_length": 734.6666870117188, + "epoch": 0.449, + "grad_norm": 8.238615228862814, + "kl": 2.1875, + "learning_rate": 7.053841895493406e-07, + "loss": 0.3116, + "reward": 1.6875000596046448, + "reward_std": 0.44833993911743164, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.875, + "step": 449 + }, + { + "clip_ratio": 0.0, + "completion_length": 787.7083435058594, + "epoch": 0.45, + "grad_norm": 25.607425007243297, + "kl": 2.03515625, + "learning_rate": 7.039090644965509e-07, + "loss": 0.4583, + "reward": 1.6770833730697632, + "reward_std": 0.4864405393600464, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8229166865348816, + "step": 450 + }, + { + "clip_ratio": 0.0, + "completion_length": 1097.5208435058594, + "epoch": 0.451, + "grad_norm": 20.993367285758417, + "kl": 3.7890625, + "learning_rate": 7.024320641103811e-07, + "loss": 0.3665, + "reward": 1.4479166865348816, + "reward_std": 0.3619709610939026, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.6979166865348816, + "step": 451 + }, + { + "clip_ratio": 0.0, + "completion_length": 632.0625152587891, + "epoch": 0.452, + "grad_norm": 6.805977485633756, + "kl": 1.734375, + "learning_rate": 7.009532063876148e-07, + "loss": 0.3024, + "reward": 1.8229166865348816, + "reward_std": 0.2334350235760212, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 452 + }, + { + "clip_ratio": 0.0, + "completion_length": 929.2708435058594, + "epoch": 0.453, + "grad_norm": 5.9570107818750255, + "kl": 2.138671875, + "learning_rate": 6.994725093476664e-07, + "loss": 0.25, + "reward": 1.6302083730697632, + "reward_std": 0.36799517273902893, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.7760416865348816, + "step": 453 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.7916870117188, + "epoch": 0.454, + "grad_norm": 13.701433484445106, + "kl": 0.86328125, + "learning_rate": 6.979899910323624e-07, + "loss": 0.3326, + "reward": 1.8177083730697632, + "reward_std": 0.333845853805542, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 454 + }, + { + "clip_ratio": 0.0, + "completion_length": 667.3333435058594, + "epoch": 0.455, + "grad_norm": 4.453103718617606, + "kl": 1.3828125, + "learning_rate": 6.965056695057204e-07, + "loss": 0.174, + "reward": 1.6770833730697632, + "reward_std": 0.39637820422649384, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 455 + }, + { + "clip_ratio": 0.0, + "completion_length": 636.7500305175781, + "epoch": 0.456, + "grad_norm": 14.178791081983867, + "kl": 1.66015625, + "learning_rate": 6.950195628537299e-07, + "loss": 0.3767, + "reward": 1.7447917461395264, + "reward_std": 0.3697783648967743, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8281250298023224, + "step": 456 + }, + { + "clip_ratio": 0.0, + "completion_length": 649.5833435058594, + "epoch": 0.457, + "grad_norm": 12.299325771819511, + "kl": 1.96484375, + "learning_rate": 6.935316891841315e-07, + "loss": 0.1973, + "reward": 1.7552083730697632, + "reward_std": 0.2891301065683365, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 457 + }, + { + "clip_ratio": 0.0, + "completion_length": 875.3125, + "epoch": 0.458, + "grad_norm": 10.449805323196285, + "kl": 3.1484375, + "learning_rate": 6.920420666261961e-07, + "loss": 0.386, + "reward": 1.6822917461395264, + "reward_std": 0.4104303568601608, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.7239583432674408, + "step": 458 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.7083435058594, + "epoch": 0.459, + "grad_norm": 12.752467269928452, + "kl": 1.0732421875, + "learning_rate": 6.905507133305047e-07, + "loss": 0.2904, + "reward": 1.9218750596046448, + "reward_std": 0.18188626319169998, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 459 + }, + { + "clip_ratio": 0.0, + "completion_length": 782.8125305175781, + "epoch": 0.46, + "grad_norm": 10.833997950231373, + "kl": 2.5390625, + "learning_rate": 6.890576474687263e-07, + "loss": 0.2904, + "reward": 1.5989583730697632, + "reward_std": 0.3610430806875229, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7656250298023224, + "step": 460 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.5625305175781, + "epoch": 0.461, + "grad_norm": 10.099772583349912, + "kl": 1.265625, + "learning_rate": 6.875628872333975e-07, + "loss": 0.0792, + "reward": 1.6302083730697632, + "reward_std": 0.22907259315252304, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.859375, + "step": 461 + }, + { + "clip_ratio": 0.0, + "completion_length": 679.8125, + "epoch": 0.462, + "grad_norm": 29.14241939606568, + "kl": 0.900390625, + "learning_rate": 6.860664508377001e-07, + "loss": 0.3667, + "reward": 1.5677083730697632, + "reward_std": 0.38647958636283875, + "rewards/accuracy_reward": 0.6875000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083730697632, + "step": 462 + }, + { + "clip_ratio": 0.0, + "completion_length": 562.6250305175781, + "epoch": 0.463, + "grad_norm": 7.41102233413824, + "kl": 0.591796875, + "learning_rate": 6.84568356515239e-07, + "loss": -0.0259, + "reward": 1.8072916865348816, + "reward_std": 0.20932568609714508, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 463 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.3541870117188, + "epoch": 0.464, + "grad_norm": 22.41456814629958, + "kl": 0.536376953125, + "learning_rate": 6.83068622519821e-07, + "loss": 0.3116, + "reward": 1.8697916865348816, + "reward_std": 0.26856791973114014, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 464 + }, + { + "clip_ratio": 0.0, + "completion_length": 502.00001525878906, + "epoch": 0.465, + "grad_norm": 6.332288555801555, + "kl": 0.42919921875, + "learning_rate": 6.815672671252315e-07, + "loss": 0.0859, + "reward": 1.828125, + "reward_std": 0.25555509328842163, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 465 + }, + { + "clip_ratio": 0.0, + "completion_length": 548.0833587646484, + "epoch": 0.466, + "grad_norm": 10.586737760467948, + "kl": 0.71826171875, + "learning_rate": 6.800643086250121e-07, + "loss": 0.2031, + "reward": 1.5416666865348816, + "reward_std": 0.2056521661579609, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 466 + }, + { + "clip_ratio": 0.0, + "completion_length": 522.5208435058594, + "epoch": 0.467, + "grad_norm": 8.518005613063707, + "kl": 0.359375, + "learning_rate": 6.78559765332238e-07, + "loss": 0.0813, + "reward": 1.7031250596046448, + "reward_std": 0.15909089893102646, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 467 + }, + { + "clip_ratio": 0.0, + "completion_length": 559.0000305175781, + "epoch": 0.468, + "grad_norm": 4.239765641538712, + "kl": 0.83984375, + "learning_rate": 6.770536555792944e-07, + "loss": 0.1594, + "reward": 1.9062500596046448, + "reward_std": 0.1668463870882988, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 468 + }, + { + "clip_ratio": 0.0, + "completion_length": 459.3958435058594, + "epoch": 0.469, + "grad_norm": 3.2826243956409935, + "kl": 0.5556640625, + "learning_rate": 6.755459977176532e-07, + "loss": 0.0948, + "reward": 1.9010416865348816, + "reward_std": 0.1897234059870243, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 469 + }, + { + "clip_ratio": 0.0, + "completion_length": 578.3541870117188, + "epoch": 0.47, + "grad_norm": 7.949356042088438, + "kl": 1.224609375, + "learning_rate": 6.740368101176495e-07, + "loss": 0.1851, + "reward": 1.7447916865348816, + "reward_std": 0.18040694296360016, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 470 + }, + { + "clip_ratio": 0.0, + "completion_length": 454.97918701171875, + "epoch": 0.471, + "grad_norm": 4.068740890617025, + "kl": 0.7802734375, + "learning_rate": 6.725261111682584e-07, + "loss": 0.1731, + "reward": 1.9479166865348816, + "reward_std": 0.12832656875252724, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 471 + }, + { + "clip_ratio": 0.0, + "completion_length": 663.1875305175781, + "epoch": 0.472, + "grad_norm": 27.03718558919886, + "kl": 3.3515625, + "learning_rate": 6.710139192768694e-07, + "loss": 0.3514, + "reward": 1.6927083730697632, + "reward_std": 0.287121944129467, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083432674408, + "step": 472 + }, + { + "clip_ratio": 0.0, + "completion_length": 508.2708435058594, + "epoch": 0.473, + "grad_norm": 14.219380205160485, + "kl": 1.291015625, + "learning_rate": 6.695002528690639e-07, + "loss": 0.3057, + "reward": 1.9427083730697632, + "reward_std": 0.136161208152771, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 473 + }, + { + "clip_ratio": 0.0, + "completion_length": 645.7291870117188, + "epoch": 0.474, + "grad_norm": 18.570958403967257, + "kl": 2.78125, + "learning_rate": 6.679851303883891e-07, + "loss": 0.2299, + "reward": 1.6979166865348816, + "reward_std": 0.2152324914932251, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833730697632, + "step": 474 + }, + { + "clip_ratio": 0.0, + "completion_length": 522.6666870117188, + "epoch": 0.475, + "grad_norm": 12.644910255118035, + "kl": 0.89599609375, + "learning_rate": 6.664685702961344e-07, + "loss": 0.256, + "reward": 1.9114583730697632, + "reward_std": 0.2113637775182724, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 475 + }, + { + "clip_ratio": 0.0, + "completion_length": 459.4791717529297, + "epoch": 0.476, + "grad_norm": 6.0913074350254846, + "kl": 0.5732421875, + "learning_rate": 6.649505910711058e-07, + "loss": 0.1027, + "reward": 1.9635416865348816, + "reward_std": 0.11453906819224358, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 476 + }, + { + "clip_ratio": 0.0, + "completion_length": 552.3750152587891, + "epoch": 0.477, + "grad_norm": 17.510693211836937, + "kl": 1.119140625, + "learning_rate": 6.634312112094013e-07, + "loss": 0.3838, + "reward": 1.8958333730697632, + "reward_std": 0.2755969874560833, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 477 + }, + { + "clip_ratio": 0.0, + "completion_length": 570.9791870117188, + "epoch": 0.478, + "grad_norm": 6.018246594418881, + "kl": 1.2890625, + "learning_rate": 6.619104492241847e-07, + "loss": 0.2289, + "reward": 1.5885416865348816, + "reward_std": 0.3315717577934265, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083432674408, + "step": 478 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.3333587646484, + "epoch": 0.479, + "grad_norm": 6.478822229591154, + "kl": 1.5390625, + "learning_rate": 6.603883236454612e-07, + "loss": 0.4294, + "reward": 1.9010416865348816, + "reward_std": 0.2816907614469528, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 479 + }, + { + "clip_ratio": 0.0, + "completion_length": 685.7708435058594, + "epoch": 0.48, + "grad_norm": 24.13751750023251, + "kl": 3.171875, + "learning_rate": 6.588648530198504e-07, + "loss": 0.4124, + "reward": 1.6302083730697632, + "reward_std": 0.27779868245124817, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083730697632, + "step": 480 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.54168701171875, + "epoch": 0.481, + "grad_norm": 25.308366462199018, + "kl": 2.91796875, + "learning_rate": 6.573400559103613e-07, + "loss": 0.1922, + "reward": 1.5, + "reward_std": 0.1741945669054985, + "rewards/accuracy_reward": 0.5208333544433117, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 481 + }, + { + "clip_ratio": 0.0, + "completion_length": 574.125, + "epoch": 0.482, + "grad_norm": 15.949086382375398, + "kl": 3.052734375, + "learning_rate": 6.558139508961654e-07, + "loss": 0.2678, + "reward": 1.8333333730697632, + "reward_std": 0.22406283020973206, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 482 + }, + { + "clip_ratio": 0.0, + "completion_length": 466.41668701171875, + "epoch": 0.483, + "grad_norm": 11.337596070425166, + "kl": 1.94921875, + "learning_rate": 6.542865565723707e-07, + "loss": 0.3152, + "reward": 1.9687500596046448, + "reward_std": 0.08030500635504723, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 483 + }, + { + "clip_ratio": 0.0, + "completion_length": 730.1041870117188, + "epoch": 0.484, + "grad_norm": 20.511565289173998, + "kl": 4.0234375, + "learning_rate": 6.527578915497951e-07, + "loss": 0.3592, + "reward": 1.2760417461395264, + "reward_std": 0.3052527606487274, + "rewards/accuracy_reward": 0.4166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 484 + }, + { + "clip_ratio": 0.0, + "completion_length": 415.1458435058594, + "epoch": 0.485, + "grad_norm": 3.0229154347861944, + "kl": 0.443359375, + "learning_rate": 6.512279744547392e-07, + "loss": 0.0437, + "reward": 1.9687500596046448, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 485 + }, + { + "clip_ratio": 0.0, + "completion_length": 567.5625305175781, + "epoch": 0.486, + "grad_norm": 7.238574649674555, + "kl": 1.09765625, + "learning_rate": 6.496968239287603e-07, + "loss": 0.0855, + "reward": 1.71875, + "reward_std": 0.14083527773618698, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 486 + }, + { + "clip_ratio": 0.0, + "completion_length": 665.0625, + "epoch": 0.487, + "grad_norm": 10.887071644507325, + "kl": 1.56640625, + "learning_rate": 6.481644586284442e-07, + "loss": 0.2154, + "reward": 1.6197917461395264, + "reward_std": 0.21968603879213333, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 487 + }, + { + "clip_ratio": 0.0, + "completion_length": 438.93751525878906, + "epoch": 0.488, + "grad_norm": 2.6014400076566426, + "kl": 0.39599609375, + "learning_rate": 6.466308972251785e-07, + "loss": 0.0596, + "reward": 1.953125, + "reward_std": 0.11028437316417694, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 488 + }, + { + "clip_ratio": 0.0, + "completion_length": 844.7083740234375, + "epoch": 0.489, + "grad_norm": 11.515087358230776, + "kl": 0.93359375, + "learning_rate": 6.45096158404925e-07, + "loss": 0.3163, + "reward": 1.5937500596046448, + "reward_std": 0.38610778748989105, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 489 + }, + { + "clip_ratio": 0.0, + "completion_length": 566.8333740234375, + "epoch": 0.49, + "grad_norm": 15.957099154959339, + "kl": 0.5205078125, + "learning_rate": 6.435602608679916e-07, + "loss": 0.237, + "reward": 1.8958333730697632, + "reward_std": 0.1992821916937828, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 490 + }, + { + "clip_ratio": 0.0, + "completion_length": 632.25, + "epoch": 0.491, + "grad_norm": 10.144639023870276, + "kl": 0.83984375, + "learning_rate": 6.420232233288055e-07, + "loss": 0.339, + "reward": 1.7343750596046448, + "reward_std": 0.3555731326341629, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 491 + }, + { + "clip_ratio": 0.0, + "completion_length": 501.87501525878906, + "epoch": 0.492, + "grad_norm": 9.503038130574328, + "kl": 0.4912109375, + "learning_rate": 6.404850645156841e-07, + "loss": 0.1848, + "reward": 1.8802083730697632, + "reward_std": 0.18833883479237556, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9427083730697632, + "step": 492 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.3333740234375, + "epoch": 0.493, + "grad_norm": 8.578506476897093, + "kl": 0.623046875, + "learning_rate": 6.389458031706068e-07, + "loss": 0.2166, + "reward": 1.6770833730697632, + "reward_std": 0.1889241859316826, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 493 + }, + { + "clip_ratio": 0.0, + "completion_length": 444.8958435058594, + "epoch": 0.494, + "grad_norm": 18.133235922465023, + "kl": 0.50048828125, + "learning_rate": 6.374054580489873e-07, + "loss": -0.0821, + "reward": 2.0, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 494 + }, + { + "clip_ratio": 0.0, + "completion_length": 569.2708435058594, + "epoch": 0.495, + "grad_norm": 5.536746511290644, + "kl": 1.0, + "learning_rate": 6.358640479194451e-07, + "loss": 0.0665, + "reward": 1.6822916865348816, + "reward_std": 0.2431003749370575, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 495 + }, + { + "clip_ratio": 0.0, + "completion_length": 713.8125, + "epoch": 0.496, + "grad_norm": 8.621719433085927, + "kl": 2.59375, + "learning_rate": 6.343215915635761e-07, + "loss": 0.5833, + "reward": 1.7500000596046448, + "reward_std": 0.36013171076774597, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8333333730697632, + "step": 496 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.2291717529297, + "epoch": 0.497, + "grad_norm": 14.910085461123963, + "kl": 1.90185546875, + "learning_rate": 6.327781077757241e-07, + "loss": 0.0438, + "reward": 1.8229166865348816, + "reward_std": 0.13010412454605103, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 497 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.8750305175781, + "epoch": 0.498, + "grad_norm": 3.73145441743871, + "kl": 0.86669921875, + "learning_rate": 6.31233615362752e-07, + "loss": 0.2215, + "reward": 1.9479166865348816, + "reward_std": 0.13466879725456238, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 498 + }, + { + "clip_ratio": 0.0, + "completion_length": 703.8333435058594, + "epoch": 0.499, + "grad_norm": 12.13954312660943, + "kl": 1.96875, + "learning_rate": 6.296881331438126e-07, + "loss": 0.1925, + "reward": 1.6302083730697632, + "reward_std": 0.34837743639945984, + "rewards/accuracy_reward": 0.7083333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 499 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.54168701171875, + "epoch": 0.5, + "grad_norm": 7.134922053152654, + "kl": 0.888671875, + "learning_rate": 6.281416799501187e-07, + "loss": 0.1284, + "reward": 1.9583333730697632, + "reward_std": 0.08141736686229706, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 500 + }, + { + "clip_ratio": 0.0, + "completion_length": 409.7291717529297, + "epoch": 0.501, + "grad_norm": 1.6621261479363783, + "kl": 0.18798828125, + "learning_rate": 6.265942746247146e-07, + "loss": 0.003, + "reward": 1.9947916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 501 + }, + { + "clip_ratio": 0.0, + "completion_length": 408.2083435058594, + "epoch": 0.502, + "grad_norm": 6.153264949056815, + "kl": 0.39208984375, + "learning_rate": 6.25045936022246e-07, + "loss": 0.0791, + "reward": 1.9791666865348816, + "reward_std": 0.05689104646444321, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 502 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.8333435058594, + "epoch": 0.503, + "grad_norm": 4.7770952919487195, + "kl": 0.4462890625, + "learning_rate": 6.2349668300873e-07, + "loss": 0.1043, + "reward": 1.9739583730697632, + "reward_std": 0.07278125733137131, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 503 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.9166717529297, + "epoch": 0.504, + "grad_norm": 11.547329552573979, + "kl": 1.17138671875, + "learning_rate": 6.219465344613258e-07, + "loss": 0.0946, + "reward": 1.890625, + "reward_std": 0.11654654145240784, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 504 + }, + { + "clip_ratio": 0.0, + "completion_length": 713.5208740234375, + "epoch": 0.505, + "grad_norm": 22.12587453073882, + "kl": 4.2734375, + "learning_rate": 6.203955092681039e-07, + "loss": 0.5008, + "reward": 1.6927083730697632, + "reward_std": 0.3396236300468445, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8177083432674408, + "step": 505 + }, + { + "clip_ratio": 0.0, + "completion_length": 552.4583435058594, + "epoch": 0.506, + "grad_norm": 14.450009773077992, + "kl": 2.3828125, + "learning_rate": 6.188436263278172e-07, + "loss": 0.3484, + "reward": 1.8437500596046448, + "reward_std": 0.2805076912045479, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 506 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.8541717529297, + "epoch": 0.507, + "grad_norm": 5.3963470752817555, + "kl": 0.787109375, + "learning_rate": 6.172909045496694e-07, + "loss": 0.1626, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 507 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.37501525878906, + "epoch": 0.508, + "grad_norm": 4.646295127312127, + "kl": 0.5625, + "learning_rate": 6.157373628530852e-07, + "loss": 0.0235, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 508 + }, + { + "clip_ratio": 0.0, + "completion_length": 682.4583587646484, + "epoch": 0.509, + "grad_norm": 6.148635226630127, + "kl": 1.7744140625, + "learning_rate": 6.141830201674802e-07, + "loss": 0.1548, + "reward": 1.7916667461395264, + "reward_std": 0.27450863271951675, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8750000298023224, + "step": 509 + }, + { + "clip_ratio": 0.0, + "completion_length": 614.5000152587891, + "epoch": 0.51, + "grad_norm": 14.593554160855128, + "kl": 0.9921875, + "learning_rate": 6.126278954320294e-07, + "loss": 0.3892, + "reward": 1.9427083730697632, + "reward_std": 0.20130915194749832, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 510 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.3541717529297, + "epoch": 0.511, + "grad_norm": 5.440825841913161, + "kl": 0.8994140625, + "learning_rate": 6.11072007595437e-07, + "loss": 0.0888, + "reward": 1.8385416865348816, + "reward_std": 0.18555867671966553, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 511 + }, + { + "clip_ratio": 0.0, + "completion_length": 740.6458435058594, + "epoch": 0.512, + "grad_norm": 33.765959368127625, + "kl": 2.3671875, + "learning_rate": 6.095153756157051e-07, + "loss": 0.2329, + "reward": 1.6354166865348816, + "reward_std": 0.3800914138555527, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8229166865348816, + "step": 512 + }, + { + "clip_ratio": 0.0, + "completion_length": 462.4375305175781, + "epoch": 0.513, + "grad_norm": 7.586108548829313, + "kl": 0.41357421875, + "learning_rate": 6.079580184599032e-07, + "loss": -0.0538, + "reward": 1.7604166865348816, + "reward_std": 0.04485878348350525, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 513 + }, + { + "clip_ratio": 0.0, + "completion_length": 472.68751525878906, + "epoch": 0.514, + "grad_norm": 6.163156016133745, + "kl": 0.38037109375, + "learning_rate": 6.06399955103937e-07, + "loss": 0.1466, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 514 + }, + { + "clip_ratio": 0.0, + "completion_length": 395.1458435058594, + "epoch": 0.515, + "grad_norm": 3.2391516961509192, + "kl": 0.117431640625, + "learning_rate": 6.048412045323164e-07, + "loss": 0.0257, + "reward": 1.9583333730697632, + "reward_std": 0.09731237590312958, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 515 + }, + { + "clip_ratio": 0.0, + "completion_length": 473.4583435058594, + "epoch": 0.516, + "grad_norm": 5.042245384135466, + "kl": 0.3955078125, + "learning_rate": 6.032817857379256e-07, + "loss": -0.0055, + "reward": 1.578125, + "reward_std": 0.21512985974550247, + "rewards/accuracy_reward": 0.625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 516 + }, + { + "clip_ratio": 0.0, + "completion_length": 420.56251525878906, + "epoch": 0.517, + "grad_norm": 8.621199763513951, + "kl": 0.29443359375, + "learning_rate": 6.017217177217899e-07, + "loss": 0.1731, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 517 + }, + { + "clip_ratio": 0.0, + "completion_length": 426.7708435058594, + "epoch": 0.518, + "grad_norm": 1.3715084990602338, + "kl": 0.121826171875, + "learning_rate": 6.001610194928464e-07, + "loss": 0.0163, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 518 + }, + { + "clip_ratio": 0.0, + "completion_length": 657.9583740234375, + "epoch": 0.519, + "grad_norm": 10.390490000193223, + "kl": 0.755859375, + "learning_rate": 5.985997100677103e-07, + "loss": 0.334, + "reward": 1.8593750596046448, + "reward_std": 0.21416960284113884, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083730697632, + "step": 519 + }, + { + "clip_ratio": 0.0, + "completion_length": 445.81251525878906, + "epoch": 0.52, + "grad_norm": 9.36630447405393, + "kl": 0.2421875, + "learning_rate": 5.97037808470444e-07, + "loss": 0.114, + "reward": 1.7708333730697632, + "reward_std": 0.14031123742461205, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 520 + }, + { + "clip_ratio": 0.0, + "completion_length": 460.875, + "epoch": 0.521, + "grad_norm": 2.673721551693534, + "kl": 0.322021484375, + "learning_rate": 5.954753337323259e-07, + "loss": 0.0717, + "reward": 1.984375, + "reward_std": 0.03884884715080261, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 521 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.8125305175781, + "epoch": 0.522, + "grad_norm": 8.574045801589394, + "kl": 0.9609375, + "learning_rate": 5.939123048916173e-07, + "loss": 0.0336, + "reward": 1.6041667461395264, + "reward_std": 0.3190048784017563, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 522 + }, + { + "clip_ratio": 0.0, + "completion_length": 547.3333587646484, + "epoch": 0.523, + "grad_norm": 12.240069295990747, + "kl": 0.998046875, + "learning_rate": 5.923487409933315e-07, + "loss": 0.4171, + "reward": 1.9583333730697632, + "reward_std": 0.1290598213672638, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 523 + }, + { + "clip_ratio": 0.0, + "completion_length": 637.1458435058594, + "epoch": 0.524, + "grad_norm": 4.801577378029944, + "kl": 1.60546875, + "learning_rate": 5.907846610890011e-07, + "loss": 0.3953, + "reward": 1.6718750596046448, + "reward_std": 0.44389602541923523, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 524 + }, + { + "clip_ratio": 0.0, + "completion_length": 655.8541870117188, + "epoch": 0.525, + "grad_norm": 8.385477085385283, + "kl": 1.40234375, + "learning_rate": 5.892200842364462e-07, + "loss": 0.1879, + "reward": 1.6250000596046448, + "reward_std": 0.26600293815135956, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 525 + }, + { + "clip_ratio": 0.0, + "completion_length": 656.8333435058594, + "epoch": 0.526, + "grad_norm": 4.900789983639907, + "kl": 1.886962890625, + "learning_rate": 5.87655029499542e-07, + "loss": 0.3296, + "reward": 1.9010416865348816, + "reward_std": 0.15065115690231323, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 526 + }, + { + "clip_ratio": 0.0, + "completion_length": 715.4791870117188, + "epoch": 0.527, + "grad_norm": 10.10301825544499, + "kl": 2.04296875, + "learning_rate": 5.860895159479864e-07, + "loss": 0.2304, + "reward": 1.6041666865348816, + "reward_std": 0.2951066195964813, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 527 + }, + { + "clip_ratio": 0.0, + "completion_length": 576.2708740234375, + "epoch": 0.528, + "grad_norm": 3.705372796686908, + "kl": 1.12890625, + "learning_rate": 5.845235626570683e-07, + "loss": 0.2558, + "reward": 1.8229166865348816, + "reward_std": 0.33442574739456177, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 528 + }, + { + "clip_ratio": 0.0, + "completion_length": 515.9166870117188, + "epoch": 0.529, + "grad_norm": 2.654063413992035, + "kl": 0.57177734375, + "learning_rate": 5.829571887074343e-07, + "loss": 0.1588, + "reward": 1.7083333730697632, + "reward_std": 0.08141736686229706, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 529 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.8750305175781, + "epoch": 0.53, + "grad_norm": 3.4052549059286603, + "kl": 0.63427734375, + "learning_rate": 5.813904131848564e-07, + "loss": 0.0414, + "reward": 1.7864583730697632, + "reward_std": 0.11135252565145493, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 530 + }, + { + "clip_ratio": 0.0, + "completion_length": 486.0625305175781, + "epoch": 0.531, + "grad_norm": 4.683290624164214, + "kl": 0.2998046875, + "learning_rate": 5.798232551800002e-07, + "loss": 0.0549, + "reward": 1.9687500596046448, + "reward_std": 0.10825316980481148, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833730697632, + "step": 531 + }, + { + "clip_ratio": 0.0, + "completion_length": 458.62501525878906, + "epoch": 0.532, + "grad_norm": 6.136399618458228, + "kl": 0.31298828125, + "learning_rate": 5.78255733788191e-07, + "loss": 0.2051, + "reward": 1.9166666865348816, + "reward_std": 0.22756417095661163, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 532 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.3125152587891, + "epoch": 0.533, + "grad_norm": 5.168550237418491, + "kl": 0.5205078125, + "learning_rate": 5.766878681091828e-07, + "loss": 0.1878, + "reward": 1.9687500596046448, + "reward_std": 0.0908234529197216, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 533 + }, + { + "clip_ratio": 0.0, + "completion_length": 553.7708435058594, + "epoch": 0.534, + "grad_norm": 6.544521956408023, + "kl": 0.48046875, + "learning_rate": 5.751196772469237e-07, + "loss": 0.2071, + "reward": 1.6875, + "reward_std": 0.15811091661453247, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 534 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.3125305175781, + "epoch": 0.535, + "grad_norm": 6.335961191604862, + "kl": 0.689453125, + "learning_rate": 5.735511803093248e-07, + "loss": 0.0117, + "reward": 1.7916666865348816, + "reward_std": 0.14031124114990234, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 535 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.0416717529297, + "epoch": 0.536, + "grad_norm": 0.6794510063356352, + "kl": 0.1484375, + "learning_rate": 5.71982396408026e-07, + "loss": 0.0062, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 536 + }, + { + "clip_ratio": 0.0, + "completion_length": 618.0416870117188, + "epoch": 0.537, + "grad_norm": 12.597082941716934, + "kl": 1.8671875, + "learning_rate": 5.704133446581642e-07, + "loss": 0.2081, + "reward": 1.7916667461395264, + "reward_std": 0.2311250939965248, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 537 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.9791870117188, + "epoch": 0.538, + "grad_norm": 4.1433656398497405, + "kl": 0.9560546875, + "learning_rate": 5.688440441781398e-07, + "loss": 0.1982, + "reward": 1.9322916865348816, + "reward_std": 0.16619428992271423, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 538 + }, + { + "clip_ratio": 0.0, + "completion_length": 493.8333435058594, + "epoch": 0.539, + "grad_norm": 6.729068770057365, + "kl": 0.54345703125, + "learning_rate": 5.672745140893839e-07, + "loss": 0.2218, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 539 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.9375, + "epoch": 0.54, + "grad_norm": 14.498748193688524, + "kl": 0.830078125, + "learning_rate": 5.657047735161255e-07, + "loss": 0.3991, + "reward": 1.8281250596046448, + "reward_std": 0.2755082845687866, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 540 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.31251525878906, + "epoch": 0.541, + "grad_norm": 4.973785971547981, + "kl": 0.7734375, + "learning_rate": 5.641348415851577e-07, + "loss": 0.1901, + "reward": 1.8593750596046448, + "reward_std": 0.17305626347661018, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 541 + }, + { + "clip_ratio": 0.0, + "completion_length": 664.6250305175781, + "epoch": 0.542, + "grad_norm": 5.871538553513047, + "kl": 1.828125, + "learning_rate": 5.625647374256061e-07, + "loss": 0.2915, + "reward": 1.7552083730697632, + "reward_std": 0.34619835019111633, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 542 + }, + { + "clip_ratio": 0.0, + "completion_length": 699.7083740234375, + "epoch": 0.543, + "grad_norm": 7.572949815456705, + "kl": 2.484375, + "learning_rate": 5.60994480168694e-07, + "loss": 0.3509, + "reward": 1.6406250596046448, + "reward_std": 0.42194561660289764, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 543 + }, + { + "clip_ratio": 0.0, + "completion_length": 602.6041870117188, + "epoch": 0.544, + "grad_norm": 8.302998278882528, + "kl": 2.06640625, + "learning_rate": 5.594240889475106e-07, + "loss": 0.2011, + "reward": 1.7343750596046448, + "reward_std": 0.2437637597322464, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 544 + }, + { + "clip_ratio": 0.0, + "completion_length": 716.7083435058594, + "epoch": 0.545, + "grad_norm": 23.266933352107536, + "kl": 3.7265625, + "learning_rate": 5.578535828967777e-07, + "loss": 0.53, + "reward": 1.5729167461395264, + "reward_std": 0.4846072643995285, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 545 + }, + { + "clip_ratio": 0.0, + "completion_length": 686.7916870117188, + "epoch": 0.546, + "grad_norm": 25.051591548627965, + "kl": 2.900390625, + "learning_rate": 5.562829811526154e-07, + "loss": 0.41, + "reward": 1.7031250596046448, + "reward_std": 0.28520841151475906, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 546 + }, + { + "clip_ratio": 0.0, + "completion_length": 669.0416870117188, + "epoch": 0.547, + "grad_norm": 5.937024042953502, + "kl": 2.2578125, + "learning_rate": 5.547123028523106e-07, + "loss": 0.4504, + "reward": 1.8541667461395264, + "reward_std": 0.32571033388376236, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 547 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.66668701171875, + "epoch": 0.548, + "grad_norm": 7.7019693307956425, + "kl": 0.5009765625, + "learning_rate": 5.531415671340826e-07, + "loss": 0.145, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 548 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.1666717529297, + "epoch": 0.549, + "grad_norm": 3.2056006160535917, + "kl": 0.278076171875, + "learning_rate": 5.515707931368507e-07, + "loss": 0.0235, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 549 + }, + { + "clip_ratio": 0.0, + "completion_length": 731.1250305175781, + "epoch": 0.55, + "grad_norm": 14.16934382823151, + "kl": 2.12890625, + "learning_rate": 5.5e-07, + "loss": 0.5906, + "reward": 1.734375, + "reward_std": 0.4276340454816818, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 550 + }, + { + "clip_ratio": 0.0, + "completion_length": 744.0000305175781, + "epoch": 0.551, + "grad_norm": 8.356917827415577, + "kl": 2.4296875, + "learning_rate": 5.484292068631494e-07, + "loss": 0.5004, + "reward": 1.6927083730697632, + "reward_std": 0.37811143696308136, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8385416865348816, + "step": 551 + }, + { + "clip_ratio": 0.0, + "completion_length": 740.6458435058594, + "epoch": 0.552, + "grad_norm": 7.034253450240812, + "kl": 2.484375, + "learning_rate": 5.468584328659172e-07, + "loss": 0.5062, + "reward": 1.7916666865348816, + "reward_std": 0.2923833690583706, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8333333432674408, + "step": 552 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.3125305175781, + "epoch": 0.553, + "grad_norm": 7.996495891288037, + "kl": 1.8916015625, + "learning_rate": 5.452876971476896e-07, + "loss": 0.1856, + "reward": 1.8385416865348816, + "reward_std": 0.1234515830874443, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 553 + }, + { + "clip_ratio": 0.0, + "completion_length": 633.3541870117188, + "epoch": 0.554, + "grad_norm": 16.0086645550577, + "kl": 1.28515625, + "learning_rate": 5.437170188473847e-07, + "loss": 0.0317, + "reward": 1.7552083730697632, + "reward_std": 0.20322755724191666, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 554 + }, + { + "clip_ratio": 0.0, + "completion_length": 659.4166870117188, + "epoch": 0.555, + "grad_norm": 10.504024001155507, + "kl": 2.4296875, + "learning_rate": 5.421464171032224e-07, + "loss": 0.3636, + "reward": 1.7395833730697632, + "reward_std": 0.25392141938209534, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 555 + }, + { + "clip_ratio": 0.0, + "completion_length": 635.4166870117188, + "epoch": 0.556, + "grad_norm": 5.286799663719701, + "kl": 1.83984375, + "learning_rate": 5.405759110524894e-07, + "loss": 0.1763, + "reward": 1.7968750596046448, + "reward_std": 0.18324360251426697, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 556 + }, + { + "clip_ratio": 0.0, + "completion_length": 583.0833435058594, + "epoch": 0.557, + "grad_norm": 6.485103886137227, + "kl": 1.6875, + "learning_rate": 5.390055198313061e-07, + "loss": 0.3552, + "reward": 1.7760416865348816, + "reward_std": 0.31283604353666306, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 557 + }, + { + "clip_ratio": 0.0, + "completion_length": 639.3750152587891, + "epoch": 0.558, + "grad_norm": 5.735814782993109, + "kl": 1.5927734375, + "learning_rate": 5.37435262574394e-07, + "loss": 0.2224, + "reward": 1.7291667461395264, + "reward_std": 0.31504253298044205, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8750000298023224, + "step": 558 + }, + { + "clip_ratio": 0.0, + "completion_length": 535.4583435058594, + "epoch": 0.559, + "grad_norm": 17.176190412428053, + "kl": 0.716796875, + "learning_rate": 5.358651584148423e-07, + "loss": 0.3629, + "reward": 1.8854167461395264, + "reward_std": 0.21260907500982285, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 559 + }, + { + "clip_ratio": 0.0, + "completion_length": 687.1250305175781, + "epoch": 0.56, + "grad_norm": 11.538916297682759, + "kl": 1.671875, + "learning_rate": 5.342952264838747e-07, + "loss": 0.4309, + "reward": 1.640625, + "reward_std": 0.40570642054080963, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 560 + }, + { + "clip_ratio": 0.0, + "completion_length": 857.2708740234375, + "epoch": 0.561, + "grad_norm": 14.259529042888598, + "kl": 3.06640625, + "learning_rate": 5.32725485910616e-07, + "loss": 0.3609, + "reward": 1.4791666865348816, + "reward_std": 0.4655623733997345, + "rewards/accuracy_reward": 0.7083333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7708333432674408, + "step": 561 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.1666870117188, + "epoch": 0.562, + "grad_norm": 12.492586634408255, + "kl": 1.369140625, + "learning_rate": 5.311559558218603e-07, + "loss": 0.4061, + "reward": 1.8229166865348816, + "reward_std": 0.2777213752269745, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 562 + }, + { + "clip_ratio": 0.0, + "completion_length": 522.4375, + "epoch": 0.563, + "grad_norm": 17.30053081775478, + "kl": 0.65234375, + "learning_rate": 5.295866553418358e-07, + "loss": 0.244, + "reward": 1.9270833730697632, + "reward_std": 0.25259073078632355, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 563 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.0833435058594, + "epoch": 0.564, + "grad_norm": 18.739890619835844, + "kl": 1.396484375, + "learning_rate": 5.28017603591974e-07, + "loss": 0.5502, + "reward": 1.890625, + "reward_std": 0.20460152626037598, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 564 + }, + { + "clip_ratio": 0.0, + "completion_length": 662.9375305175781, + "epoch": 0.565, + "grad_norm": 6.615120650795511, + "kl": 2.08984375, + "learning_rate": 5.264488196906752e-07, + "loss": 0.371, + "reward": 1.5520833730697632, + "reward_std": 0.32989659160375595, + "rewards/accuracy_reward": 0.7083333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 565 + }, + { + "clip_ratio": 0.0, + "completion_length": 533.3125305175781, + "epoch": 0.566, + "grad_norm": 4.711057784606764, + "kl": 1.279296875, + "learning_rate": 5.248803227530763e-07, + "loss": 0.2421, + "reward": 1.9010416865348816, + "reward_std": 0.1796237677335739, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 566 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.5625, + "epoch": 0.567, + "grad_norm": 5.466315934880269, + "kl": 0.88037109375, + "learning_rate": 5.233121318908173e-07, + "loss": 0.1982, + "reward": 1.890625, + "reward_std": 0.2643452286720276, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 567 + }, + { + "clip_ratio": 0.0, + "completion_length": 404.0833435058594, + "epoch": 0.568, + "grad_norm": 3.416961245398717, + "kl": 0.3779296875, + "learning_rate": 5.21744266211809e-07, + "loss": 0.0587, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 568 + }, + { + "clip_ratio": 0.0, + "completion_length": 526.6666717529297, + "epoch": 0.569, + "grad_norm": 14.974074981308137, + "kl": 1.50390625, + "learning_rate": 5.2017674482e-07, + "loss": 0.5294, + "reward": 1.7708333730697632, + "reward_std": 0.31909389048814774, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 569 + }, + { + "clip_ratio": 0.0, + "completion_length": 437.4166717529297, + "epoch": 0.57, + "grad_norm": 3.7415959697333885, + "kl": 0.828125, + "learning_rate": 5.186095868151436e-07, + "loss": 0.1659, + "reward": 1.9322916865348816, + "reward_std": 0.18871532380580902, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 570 + }, + { + "clip_ratio": 0.0, + "completion_length": 555.7916870117188, + "epoch": 0.571, + "grad_norm": 16.4083416445283, + "kl": 4.359375, + "learning_rate": 5.170428112925659e-07, + "loss": 0.6484, + "reward": 1.5520833730697632, + "reward_std": 0.5498536676168442, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833432674408, + "step": 571 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.8125305175781, + "epoch": 0.572, + "grad_norm": 15.357929481975177, + "kl": 3.7265625, + "learning_rate": 5.154764373429315e-07, + "loss": 0.6876, + "reward": 1.8541666865348816, + "reward_std": 0.3646731525659561, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 572 + }, + { + "clip_ratio": 0.0, + "completion_length": 704.8541870117188, + "epoch": 0.573, + "grad_norm": 51.159738087601475, + "kl": 7.390625, + "learning_rate": 5.139104840520135e-07, + "loss": 0.5712, + "reward": 1.4947916865348816, + "reward_std": 0.38124869763851166, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583730697632, + "step": 573 + }, + { + "clip_ratio": 0.0, + "completion_length": 406.56251525878906, + "epoch": 0.574, + "grad_norm": 3.6499812578804476, + "kl": 0.80810546875, + "learning_rate": 5.123449705004581e-07, + "loss": 0.2383, + "reward": 1.984375, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 574 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.7708435058594, + "epoch": 0.575, + "grad_norm": 7.135688087622697, + "kl": 1.65625, + "learning_rate": 5.107799157635538e-07, + "loss": 0.4438, + "reward": 1.9218750596046448, + "reward_std": 0.23052222281694412, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 575 + }, + { + "clip_ratio": 0.0, + "completion_length": 715.7500457763672, + "epoch": 0.576, + "grad_norm": 25.249821366837935, + "kl": 6.96875, + "learning_rate": 5.09215338910999e-07, + "loss": 0.6322, + "reward": 1.5572916865348816, + "reward_std": 0.44661253318190575, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7864583432674408, + "step": 576 + }, + { + "clip_ratio": 0.0, + "completion_length": 577.7500305175781, + "epoch": 0.577, + "grad_norm": 11.231151868828828, + "kl": 3.32421875, + "learning_rate": 5.076512590066685e-07, + "loss": 0.6265, + "reward": 1.8229167461395264, + "reward_std": 0.29137512296438217, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833730697632, + "step": 577 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.2083587646484, + "epoch": 0.578, + "grad_norm": 7.3484554208276345, + "kl": 2.51171875, + "learning_rate": 5.060876951083828e-07, + "loss": 0.3525, + "reward": 1.8541666865348816, + "reward_std": 0.2698933370411396, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9583333730697632, + "step": 578 + }, + { + "clip_ratio": 0.0, + "completion_length": 600.5625, + "epoch": 0.579, + "grad_norm": 22.418179731963274, + "kl": 3.5390625, + "learning_rate": 5.045246662676741e-07, + "loss": 0.3676, + "reward": 1.8020833730697632, + "reward_std": 0.2119518145918846, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 579 + }, + { + "clip_ratio": 0.0, + "completion_length": 498.95835876464844, + "epoch": 0.58, + "grad_norm": 7.3401079741277435, + "kl": 1.681640625, + "learning_rate": 5.02962191529556e-07, + "loss": 0.3166, + "reward": 1.9010416865348816, + "reward_std": 0.16761544719338417, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 580 + }, + { + "clip_ratio": 0.0, + "completion_length": 408.97918701171875, + "epoch": 0.581, + "grad_norm": 9.027696575669205, + "kl": 0.6689453125, + "learning_rate": 5.014002899322896e-07, + "loss": 0.2138, + "reward": 1.9583333730697632, + "reward_std": 0.1259434074163437, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 581 + }, + { + "clip_ratio": 0.0, + "completion_length": 613.6666870117188, + "epoch": 0.582, + "grad_norm": 18.404182637426995, + "kl": 2.51171875, + "learning_rate": 4.998389805071536e-07, + "loss": 0.5197, + "reward": 1.8072916865348816, + "reward_std": 0.3174736574292183, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 582 + }, + { + "clip_ratio": 0.0, + "completion_length": 518.6250305175781, + "epoch": 0.583, + "grad_norm": 11.380168419566196, + "kl": 1.390625, + "learning_rate": 4.982782822782101e-07, + "loss": 0.2449, + "reward": 1.7135416865348816, + "reward_std": 0.35906873643398285, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 583 + }, + { + "clip_ratio": 0.0, + "completion_length": 389.7916717529297, + "epoch": 0.584, + "grad_norm": 1.2405382317366134, + "kl": 0.171875, + "learning_rate": 4.967182142620745e-07, + "loss": 0.0075, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 584 + }, + { + "clip_ratio": 0.0, + "completion_length": 568.0625305175781, + "epoch": 0.585, + "grad_norm": 7.532605419678999, + "kl": 2.00390625, + "learning_rate": 4.951587954676837e-07, + "loss": 0.4504, + "reward": 1.8072917461395264, + "reward_std": 0.2588347792625427, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 585 + }, + { + "clip_ratio": 0.0, + "completion_length": 418.7708435058594, + "epoch": 0.586, + "grad_norm": 6.109506418281163, + "kl": 0.935546875, + "learning_rate": 4.93600044896063e-07, + "loss": 0.0927, + "reward": 1.8489583730697632, + "reward_std": 0.17645524814724922, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583730697632, + "step": 586 + }, + { + "clip_ratio": 0.0, + "completion_length": 533.9375152587891, + "epoch": 0.587, + "grad_norm": 6.494514320843762, + "kl": 2.20703125, + "learning_rate": 4.920419815400968e-07, + "loss": 0.2095, + "reward": 1.7812500596046448, + "reward_std": 0.28840160369873047, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 587 + }, + { + "clip_ratio": 0.0, + "completion_length": 458.4583435058594, + "epoch": 0.588, + "grad_norm": 8.207630176695815, + "kl": 1.296875, + "learning_rate": 4.904846243842949e-07, + "loss": 0.3513, + "reward": 1.9114583730697632, + "reward_std": 0.15857338160276413, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 588 + }, + { + "clip_ratio": 0.0, + "completion_length": 541.6041870117188, + "epoch": 0.589, + "grad_norm": 7.382823799599969, + "kl": 1.5478515625, + "learning_rate": 4.88927992404563e-07, + "loss": 0.2113, + "reward": 1.8958333730697632, + "reward_std": 0.10770505666732788, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 589 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.3333435058594, + "epoch": 0.59, + "grad_norm": 4.142851095861234, + "kl": 0.78466796875, + "learning_rate": 4.873721045679706e-07, + "loss": 0.2612, + "reward": 1.8802083730697632, + "reward_std": 0.24040424823760986, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 590 + }, + { + "clip_ratio": 0.0, + "completion_length": 514.0416717529297, + "epoch": 0.591, + "grad_norm": 8.709750803577402, + "kl": 1.0263671875, + "learning_rate": 4.858169798325198e-07, + "loss": 0.3315, + "reward": 1.90625, + "reward_std": 0.21704530715942383, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 591 + }, + { + "clip_ratio": 0.0, + "completion_length": 400.4583435058594, + "epoch": 0.592, + "grad_norm": 4.389997299168009, + "kl": 0.35302734375, + "learning_rate": 4.842626371469149e-07, + "loss": 0.0513, + "reward": 1.9322916865348816, + "reward_std": 0.18752333521842957, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 592 + }, + { + "clip_ratio": 0.0, + "completion_length": 506.04168701171875, + "epoch": 0.593, + "grad_norm": 7.023673404275894, + "kl": 0.767578125, + "learning_rate": 4.827090954503308e-07, + "loss": 0.2847, + "reward": 1.9375000596046448, + "reward_std": 0.13520457595586777, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 593 + }, + { + "clip_ratio": 0.0, + "completion_length": 596.0208740234375, + "epoch": 0.594, + "grad_norm": 12.067906565975324, + "kl": 1.79296875, + "learning_rate": 4.811563736721829e-07, + "loss": 0.3998, + "reward": 1.6406250596046448, + "reward_std": 0.3280720040202141, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 594 + }, + { + "clip_ratio": 0.0, + "completion_length": 681.8541870117188, + "epoch": 0.595, + "grad_norm": 5.654211217145191, + "kl": 2.6875, + "learning_rate": 4.79604490731896e-07, + "loss": 0.4924, + "reward": 1.5468750596046448, + "reward_std": 0.44048693776130676, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 595 + }, + { + "clip_ratio": 0.0, + "completion_length": 394.3958435058594, + "epoch": 0.596, + "grad_norm": 3.0645040373754626, + "kl": 0.43701171875, + "learning_rate": 4.780534655386743e-07, + "loss": 0.0233, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 596 + }, + { + "clip_ratio": 0.0, + "completion_length": 456.7083435058594, + "epoch": 0.597, + "grad_norm": 4.342970828781974, + "kl": 0.6796875, + "learning_rate": 4.7650331699127013e-07, + "loss": 0.0481, + "reward": 1.7916666865348816, + "reward_std": 0.19728264957666397, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 597 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.93751525878906, + "epoch": 0.598, + "grad_norm": 5.861042865096573, + "kl": 0.978515625, + "learning_rate": 4.749540639777539e-07, + "loss": 0.1564, + "reward": 1.75, + "reward_std": 0.05330018326640129, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 598 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.4583435058594, + "epoch": 0.599, + "grad_norm": 5.3241744582648165, + "kl": 1.025390625, + "learning_rate": 4.7340572537528547e-07, + "loss": 0.1261, + "reward": 1.8177083730697632, + "reward_std": 0.23352795839309692, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 599 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.8333587646484, + "epoch": 0.6, + "grad_norm": 26.685709282532063, + "kl": 0.875, + "learning_rate": 4.7185832004988133e-07, + "loss": 0.4357, + "reward": 1.921875, + "reward_std": 0.25320322811603546, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 600 + }, + { + "clip_ratio": 0.0, + "completion_length": 375.91668701171875, + "epoch": 0.601, + "grad_norm": 0.5783329522424004, + "kl": 0.14208984375, + "learning_rate": 4.703118668561875e-07, + "loss": 0.006, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 601 + }, + { + "clip_ratio": 0.0, + "completion_length": 531.5000305175781, + "epoch": 0.602, + "grad_norm": 7.603025544671101, + "kl": 1.03125, + "learning_rate": 4.68766384637248e-07, + "loss": 0.3475, + "reward": 1.9114583730697632, + "reward_std": 0.2396276444196701, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 602 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.87501525878906, + "epoch": 0.603, + "grad_norm": 5.445187278408046, + "kl": 0.93115234375, + "learning_rate": 4.672218922242759e-07, + "loss": 0.2845, + "reward": 1.7864583730697632, + "reward_std": 0.2633417621254921, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 603 + }, + { + "clip_ratio": 0.0, + "completion_length": 521.0416870117188, + "epoch": 0.604, + "grad_norm": 4.539188426316394, + "kl": 1.61669921875, + "learning_rate": 4.656784084364238e-07, + "loss": 0.2783, + "reward": 1.8697916865348816, + "reward_std": 0.17568521201610565, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 604 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.52085876464844, + "epoch": 0.605, + "grad_norm": 6.972452993105158, + "kl": 1.474609375, + "learning_rate": 4.641359520805548e-07, + "loss": 0.4104, + "reward": 1.8750000596046448, + "reward_std": 0.35279126465320587, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 605 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.3333435058594, + "epoch": 0.606, + "grad_norm": 8.036077022422743, + "kl": 0.9755859375, + "learning_rate": 4.6259454195101267e-07, + "loss": 0.0702, + "reward": 1.8645833730697632, + "reward_std": 0.18782321363687515, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 606 + }, + { + "clip_ratio": 0.0, + "completion_length": 489.66668701171875, + "epoch": 0.607, + "grad_norm": 15.217177254721056, + "kl": 1.17822265625, + "learning_rate": 4.6105419682939316e-07, + "loss": 0.4674, + "reward": 1.953125, + "reward_std": 0.13443158566951752, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 607 + }, + { + "clip_ratio": 0.0, + "completion_length": 424.3541717529297, + "epoch": 0.608, + "grad_norm": 5.678800343928725, + "kl": 1.06640625, + "learning_rate": 4.59514935484316e-07, + "loss": 0.1803, + "reward": 1.8958333730697632, + "reward_std": 0.2054632604122162, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 608 + }, + { + "clip_ratio": 0.0, + "completion_length": 556.3541717529297, + "epoch": 0.609, + "grad_norm": 5.2604130264685365, + "kl": 2.39453125, + "learning_rate": 4.579767766711944e-07, + "loss": 0.4194, + "reward": 1.7760416865348816, + "reward_std": 0.376691535115242, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 609 + }, + { + "clip_ratio": 0.0, + "completion_length": 553.3541870117188, + "epoch": 0.61, + "grad_norm": 25.4539577589348, + "kl": 3.0, + "learning_rate": 4.5643973913200837e-07, + "loss": 0.3118, + "reward": 1.7083333730697632, + "reward_std": 0.2848246470093727, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 610 + }, + { + "clip_ratio": 0.0, + "completion_length": 615.4375152587891, + "epoch": 0.611, + "grad_norm": 11.210844254396868, + "kl": 3.03125, + "learning_rate": 4.549038415950751e-07, + "loss": 0.5337, + "reward": 1.8072916865348816, + "reward_std": 0.3188003897666931, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 611 + }, + { + "clip_ratio": 0.0, + "completion_length": 384.75001525878906, + "epoch": 0.612, + "grad_norm": 4.526455521728452, + "kl": 0.7001953125, + "learning_rate": 4.5336910277482155e-07, + "loss": 0.0455, + "reward": 1.9270833730697632, + "reward_std": 0.10934117436408997, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 612 + }, + { + "clip_ratio": 0.0, + "completion_length": 628.1458435058594, + "epoch": 0.613, + "grad_norm": 13.619403092991371, + "kl": 3.91796875, + "learning_rate": 4.51835541371556e-07, + "loss": 0.4659, + "reward": 1.515625, + "reward_std": 0.47586315125226974, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 613 + }, + { + "clip_ratio": 0.0, + "completion_length": 717.6458435058594, + "epoch": 0.614, + "grad_norm": 18.047276720524565, + "kl": 4.2421875, + "learning_rate": 4.503031760712397e-07, + "loss": 0.4726, + "reward": 1.6354167461395264, + "reward_std": 0.42935848236083984, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 614 + }, + { + "clip_ratio": 0.0, + "completion_length": 576.6250305175781, + "epoch": 0.615, + "grad_norm": 13.843581211604308, + "kl": 2.75, + "learning_rate": 4.4877202554526084e-07, + "loss": 0.5854, + "reward": 1.6354166865348816, + "reward_std": 0.33045031130313873, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 615 + }, + { + "clip_ratio": 0.0, + "completion_length": 384.2916717529297, + "epoch": 0.616, + "grad_norm": 0.7016241996723709, + "kl": 0.1435546875, + "learning_rate": 4.4724210845020494e-07, + "loss": 0.0059, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 616 + }, + { + "clip_ratio": 0.0, + "completion_length": 666.5833435058594, + "epoch": 0.617, + "grad_norm": 13.154950410277756, + "kl": 2.28515625, + "learning_rate": 4.457134434276293e-07, + "loss": 0.2011, + "reward": 1.5885417461395264, + "reward_std": 0.24745624512434006, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 617 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.9791717529297, + "epoch": 0.618, + "grad_norm": 32.31466025675279, + "kl": 0.681640625, + "learning_rate": 4.441860491038345e-07, + "loss": 0.4226, + "reward": 1.9479166865348816, + "reward_std": 0.18042195588350296, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 618 + }, + { + "clip_ratio": 0.0, + "completion_length": 586.5416870117188, + "epoch": 0.619, + "grad_norm": 5.3624025568550735, + "kl": 1.3125, + "learning_rate": 4.4265994408963867e-07, + "loss": 0.184, + "reward": 1.7291666865348816, + "reward_std": 0.3180026561021805, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 619 + }, + { + "clip_ratio": 0.0, + "completion_length": 485.25, + "epoch": 0.62, + "grad_norm": 5.583378444676486, + "kl": 0.5654296875, + "learning_rate": 4.4113514698014953e-07, + "loss": 0.1404, + "reward": 1.8958333730697632, + "reward_std": 0.21894602477550507, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 620 + }, + { + "clip_ratio": 0.0, + "completion_length": 624.5000305175781, + "epoch": 0.621, + "grad_norm": 9.888865631896893, + "kl": 1.3515625, + "learning_rate": 4.3961167635453876e-07, + "loss": 0.301, + "reward": 1.5520833730697632, + "reward_std": 0.36164598166942596, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 621 + }, + { + "clip_ratio": 0.0, + "completion_length": 563.3750152587891, + "epoch": 0.622, + "grad_norm": 3.861304780440373, + "kl": 1.06689453125, + "learning_rate": 4.3808955077581546e-07, + "loss": 0.1299, + "reward": 1.890625, + "reward_std": 0.11535456031560898, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 622 + }, + { + "clip_ratio": 0.0, + "completion_length": 407.8125, + "epoch": 0.623, + "grad_norm": 2.7524061074059083, + "kl": 0.37158203125, + "learning_rate": 4.365687887905988e-07, + "loss": 0.0106, + "reward": 1.953125, + "reward_std": 0.08050356805324554, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 623 + }, + { + "clip_ratio": 0.0, + "completion_length": 596.2291870117188, + "epoch": 0.624, + "grad_norm": 15.237602585474976, + "kl": 0.95703125, + "learning_rate": 4.350494089288943e-07, + "loss": 0.4758, + "reward": 1.8072916865348816, + "reward_std": 0.3118917793035507, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 624 + }, + { + "clip_ratio": 0.0, + "completion_length": 482.97918701171875, + "epoch": 0.625, + "grad_norm": 6.918258531922286, + "kl": 0.609619140625, + "learning_rate": 4.3353142970386557e-07, + "loss": 0.2013, + "reward": 1.609375, + "reward_std": 0.21576672792434692, + "rewards/accuracy_reward": 0.6666666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 625 + }, + { + "clip_ratio": 0.0, + "completion_length": 375.4583435058594, + "epoch": 0.626, + "grad_norm": 2.4451266925953905, + "kl": 0.112060546875, + "learning_rate": 4.3201486961161093e-07, + "loss": 0.0122, + "reward": 1.9687500596046448, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 626 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.31251525878906, + "epoch": 0.627, + "grad_norm": 2.3309225573294947, + "kl": 0.599609375, + "learning_rate": 4.304997471309361e-07, + "loss": 0.0702, + "reward": 1.9322916865348816, + "reward_std": 0.1290765255689621, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 627 + }, + { + "clip_ratio": 0.0, + "completion_length": 432.3333435058594, + "epoch": 0.628, + "grad_norm": 5.713117958811042, + "kl": 0.4013671875, + "learning_rate": 4.2898608072313045e-07, + "loss": 0.1809, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 628 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.93751525878906, + "epoch": 0.629, + "grad_norm": 6.085786192044784, + "kl": 0.26708984375, + "learning_rate": 4.2747388883174154e-07, + "loss": 0.0442, + "reward": 1.9479166865348816, + "reward_std": 0.18042196705937386, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833730697632, + "step": 629 + }, + { + "clip_ratio": 0.0, + "completion_length": 658.5416870117188, + "epoch": 0.63, + "grad_norm": 15.319335321641084, + "kl": 2.26953125, + "learning_rate": 4.2596318988235037e-07, + "loss": 0.5449, + "reward": 1.6302083730697632, + "reward_std": 0.5507534742355347, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.859375, + "step": 630 + }, + { + "clip_ratio": 0.0, + "completion_length": 380.9583435058594, + "epoch": 0.631, + "grad_norm": 3.2393705594494757, + "kl": 0.3671875, + "learning_rate": 4.2445400228234687e-07, + "loss": 0.0381, + "reward": 1.7604167461395264, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 631 + }, + { + "clip_ratio": 0.0, + "completion_length": 446.47918701171875, + "epoch": 0.632, + "grad_norm": 18.109523778106656, + "kl": 0.7646484375, + "learning_rate": 4.2294634442070553e-07, + "loss": 0.2823, + "reward": 1.90625, + "reward_std": 0.265943706035614, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 632 + }, + { + "clip_ratio": 0.0, + "completion_length": 582.2291870117188, + "epoch": 0.633, + "grad_norm": 7.2865340716766465, + "kl": 1.962890625, + "learning_rate": 4.214402346677619e-07, + "loss": 0.2803, + "reward": 1.796875, + "reward_std": 0.22159092128276825, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 633 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.8958435058594, + "epoch": 0.634, + "grad_norm": 10.88110433146186, + "kl": 1.3759765625, + "learning_rate": 4.1993569137498776e-07, + "loss": 0.1843, + "reward": 1.90625, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 634 + }, + { + "clip_ratio": 0.0, + "completion_length": 386.8125, + "epoch": 0.635, + "grad_norm": 5.897141006047558, + "kl": 0.68359375, + "learning_rate": 4.1843273287476854e-07, + "loss": 0.1425, + "reward": 1.9479166865348816, + "reward_std": 0.18042195588350296, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 635 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.62501525878906, + "epoch": 0.636, + "grad_norm": 13.772772093644015, + "kl": 1.904296875, + "learning_rate": 4.1693137748017915e-07, + "loss": 0.1288, + "reward": 1.8333333730697632, + "reward_std": 0.183121956884861, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 636 + }, + { + "clip_ratio": 0.0, + "completion_length": 509.1041717529297, + "epoch": 0.637, + "grad_norm": 10.70019037290711, + "kl": 3.07421875, + "learning_rate": 4.15431643484761e-07, + "loss": 0.4424, + "reward": 1.6406250596046448, + "reward_std": 0.37014535069465637, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 637 + }, + { + "clip_ratio": 0.0, + "completion_length": 515.9375152587891, + "epoch": 0.638, + "grad_norm": 46.028322896982, + "kl": 4.0234375, + "learning_rate": 4.1393354916230005e-07, + "loss": 0.6939, + "reward": 1.71875, + "reward_std": 0.3373633921146393, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 638 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.2708435058594, + "epoch": 0.639, + "grad_norm": 15.411064783416274, + "kl": 1.35205078125, + "learning_rate": 4.124371127666024e-07, + "loss": 0.1836, + "reward": 1.8489583730697632, + "reward_std": 0.1175578162074089, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 639 + }, + { + "clip_ratio": 0.0, + "completion_length": 585.9791870117188, + "epoch": 0.64, + "grad_norm": 16.856454357927625, + "kl": 2.609375, + "learning_rate": 4.1094235253127374e-07, + "loss": 0.3657, + "reward": 1.7447916865348816, + "reward_std": 0.3786095231771469, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 640 + }, + { + "clip_ratio": 0.0, + "completion_length": 507.0416717529297, + "epoch": 0.641, + "grad_norm": 16.6668571347689, + "kl": 2.15625, + "learning_rate": 4.0944928666949527e-07, + "loss": 0.5477, + "reward": 1.828125, + "reward_std": 0.3752746507525444, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 641 + }, + { + "clip_ratio": 0.0, + "completion_length": 388.3333435058594, + "epoch": 0.642, + "grad_norm": 7.860208030202798, + "kl": 0.74609375, + "learning_rate": 4.079579333738039e-07, + "loss": 0.0989, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 642 + }, + { + "clip_ratio": 0.0, + "completion_length": 514.3541870117188, + "epoch": 0.643, + "grad_norm": 8.288782834178, + "kl": 1.77490234375, + "learning_rate": 4.064683108158685e-07, + "loss": 0.2371, + "reward": 1.9270833730697632, + "reward_std": 0.18150995671749115, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 643 + }, + { + "clip_ratio": 0.0, + "completion_length": 622.6875152587891, + "epoch": 0.644, + "grad_norm": 15.999120662762444, + "kl": 3.26953125, + "learning_rate": 4.0498043714627006e-07, + "loss": 0.5493, + "reward": 1.8177083730697632, + "reward_std": 0.33464595675468445, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 644 + }, + { + "clip_ratio": 0.0, + "completion_length": 635.4791870117188, + "epoch": 0.645, + "grad_norm": 16.396655318849227, + "kl": 3.6875, + "learning_rate": 4.034943304942796e-07, + "loss": 0.2983, + "reward": 1.6666666865348816, + "reward_std": 0.22979877889156342, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8541666865348816, + "step": 645 + }, + { + "clip_ratio": 0.0, + "completion_length": 484.3333435058594, + "epoch": 0.646, + "grad_norm": 15.35826943411963, + "kl": 1.33984375, + "learning_rate": 4.020100089676376e-07, + "loss": 0.3568, + "reward": 1.9270833730697632, + "reward_std": 0.25259073078632355, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 646 + }, + { + "clip_ratio": 0.0, + "completion_length": 509.29168701171875, + "epoch": 0.647, + "grad_norm": 7.776151948305263, + "kl": 1.4443359375, + "learning_rate": 4.005274906523336e-07, + "loss": 0.2073, + "reward": 1.9270833730697632, + "reward_std": 0.1995142102241516, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 647 + }, + { + "clip_ratio": 0.0, + "completion_length": 689.3541870117188, + "epoch": 0.648, + "grad_norm": 16.322074117524977, + "kl": 3.8203125, + "learning_rate": 3.9904679361238526e-07, + "loss": 0.7114, + "reward": 1.5729167461395264, + "reward_std": 0.508946880698204, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8437500298023224, + "step": 648 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.7083435058594, + "epoch": 0.649, + "grad_norm": 11.227285581188948, + "kl": 0.84765625, + "learning_rate": 3.975679358896189e-07, + "loss": 0.1605, + "reward": 1.7291666865348816, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 649 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.7708435058594, + "epoch": 0.65, + "grad_norm": 10.093562627402227, + "kl": 1.1953125, + "learning_rate": 3.9609093550344907e-07, + "loss": 0.2881, + "reward": 1.9531250596046448, + "reward_std": 0.12172887474298477, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 650 + }, + { + "clip_ratio": 0.0, + "completion_length": 342.7083435058594, + "epoch": 0.651, + "grad_norm": 2.2555843861653404, + "kl": 0.1103515625, + "learning_rate": 3.946158104506594e-07, + "loss": 0.024, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 651 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.0416717529297, + "epoch": 0.652, + "grad_norm": 12.706103031204714, + "kl": 1.41796875, + "learning_rate": 3.931425787051832e-07, + "loss": 0.1063, + "reward": 1.6093750596046448, + "reward_std": 0.2300998941063881, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 652 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.7083435058594, + "epoch": 0.653, + "grad_norm": 9.588244758972122, + "kl": 1.18310546875, + "learning_rate": 3.9167125821788416e-07, + "loss": 0.3146, + "reward": 1.90625, + "reward_std": 0.21309566497802734, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 653 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.2291717529297, + "epoch": 0.654, + "grad_norm": 6.787145845687959, + "kl": 0.91845703125, + "learning_rate": 3.902018669163384e-07, + "loss": 0.074, + "reward": 1.9010416865348816, + "reward_std": 0.22076396644115448, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 654 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.2916717529297, + "epoch": 0.655, + "grad_norm": 17.444888520800696, + "kl": 0.966796875, + "learning_rate": 3.8873442270461485e-07, + "loss": 0.3744, + "reward": 1.9010417461395264, + "reward_std": 0.3428017199039459, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 655 + }, + { + "clip_ratio": 0.0, + "completion_length": 366.29168701171875, + "epoch": 0.656, + "grad_norm": 3.2018175898420496, + "kl": 0.50634765625, + "learning_rate": 3.872689434630585e-07, + "loss": 0.0742, + "reward": 1.796875, + "reward_std": 0.1281561702489853, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 656 + }, + { + "clip_ratio": 0.0, + "completion_length": 559.3958435058594, + "epoch": 0.657, + "grad_norm": 8.750666974164382, + "kl": 2.123046875, + "learning_rate": 3.8580544704807117e-07, + "loss": 0.461, + "reward": 1.7447916865348816, + "reward_std": 0.36910194158554077, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 657 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.5833435058594, + "epoch": 0.658, + "grad_norm": 9.47884007985339, + "kl": 1.66796875, + "learning_rate": 3.843439512918949e-07, + "loss": 0.2826, + "reward": 1.8437500596046448, + "reward_std": 0.23587782680988312, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 658 + }, + { + "clip_ratio": 0.0, + "completion_length": 501.5208435058594, + "epoch": 0.659, + "grad_norm": 11.746202787090173, + "kl": 1.7626953125, + "learning_rate": 3.8288447400239443e-07, + "loss": 0.2517, + "reward": 1.78125, + "reward_std": 0.11935241520404816, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 659 + }, + { + "clip_ratio": 0.0, + "completion_length": 525.6250152587891, + "epoch": 0.66, + "grad_norm": 10.034141199711346, + "kl": 2.19921875, + "learning_rate": 3.8142703296283953e-07, + "loss": 0.4662, + "reward": 1.390625, + "reward_std": 0.23617514222860336, + "rewards/accuracy_reward": 0.5, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 660 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.6875305175781, + "epoch": 0.661, + "grad_norm": 4.161344052398567, + "kl": 1.3515625, + "learning_rate": 3.7997164593168983e-07, + "loss": 0.2163, + "reward": 1.8489583730697632, + "reward_std": 0.23822123557329178, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 661 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.1041717529297, + "epoch": 0.662, + "grad_norm": 10.265206117027367, + "kl": 0.82421875, + "learning_rate": 3.785183306423767e-07, + "loss": 0.269, + "reward": 1.9479166865348816, + "reward_std": 0.16186628118157387, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 662 + }, + { + "clip_ratio": 0.0, + "completion_length": 514.8125152587891, + "epoch": 0.663, + "grad_norm": 4.778160522745052, + "kl": 1.48828125, + "learning_rate": 3.7706710480308835e-07, + "loss": 0.2057, + "reward": 1.6927083730697632, + "reward_std": 0.27833671122789383, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 663 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.1666717529297, + "epoch": 0.664, + "grad_norm": 6.6464583664250805, + "kl": 1.2197265625, + "learning_rate": 3.7561798609655373e-07, + "loss": 0.133, + "reward": 1.7864583730697632, + "reward_std": 0.21303357928991318, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 664 + }, + { + "clip_ratio": 0.0, + "completion_length": 403.81251525878906, + "epoch": 0.665, + "grad_norm": 7.811845482970346, + "kl": 0.734375, + "learning_rate": 3.7417099217982686e-07, + "loss": 0.054, + "reward": 1.8072916865348816, + "reward_std": 0.09776745736598969, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 665 + }, + { + "clip_ratio": 0.0, + "completion_length": 432.0833435058594, + "epoch": 0.666, + "grad_norm": 8.758211062001669, + "kl": 2.0185546875, + "learning_rate": 3.72726140684072e-07, + "loss": 0.1164, + "reward": 1.5312500596046448, + "reward_std": 0.3305683881044388, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 666 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.3333435058594, + "epoch": 0.667, + "grad_norm": 14.633939544314472, + "kl": 0.8671875, + "learning_rate": 3.712834492143487e-07, + "loss": 0.3938, + "reward": 1.9635416865348816, + "reward_std": 0.12629536911845207, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 667 + }, + { + "clip_ratio": 0.0, + "completion_length": 480.7291717529297, + "epoch": 0.668, + "grad_norm": 8.183379454229799, + "kl": 1.3046875, + "learning_rate": 3.6984293534939737e-07, + "loss": 0.2708, + "reward": 1.8385416865348816, + "reward_std": 0.2887519672513008, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 668 + }, + { + "clip_ratio": 0.0, + "completion_length": 482.68751525878906, + "epoch": 0.669, + "grad_norm": 16.156518899200908, + "kl": 1.89453125, + "learning_rate": 3.6840461664142444e-07, + "loss": 0.5873, + "reward": 1.8125000596046448, + "reward_std": 0.40520651638507843, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 669 + }, + { + "clip_ratio": 0.0, + "completion_length": 390.7708435058594, + "epoch": 0.67, + "grad_norm": 15.532473512027257, + "kl": 0.4365234375, + "learning_rate": 3.6696851061588994e-07, + "loss": 0.233, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 670 + }, + { + "clip_ratio": 0.0, + "completion_length": 485.7291717529297, + "epoch": 0.671, + "grad_norm": 9.198560157106922, + "kl": 2.109375, + "learning_rate": 3.655346347712922e-07, + "loss": 0.2612, + "reward": 1.8385416865348816, + "reward_std": 0.2914777956902981, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 671 + }, + { + "clip_ratio": 0.0, + "completion_length": 381.7916717529297, + "epoch": 0.672, + "grad_norm": 9.244625026565478, + "kl": 0.556640625, + "learning_rate": 3.641030065789562e-07, + "loss": 0.2217, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 672 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.56251525878906, + "epoch": 0.673, + "grad_norm": 6.287912642621773, + "kl": 1.5625, + "learning_rate": 3.6267364348281946e-07, + "loss": 0.2877, + "reward": 1.796875, + "reward_std": 0.30066054314374924, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 673 + }, + { + "clip_ratio": 0.0, + "completion_length": 452.27085876464844, + "epoch": 0.674, + "grad_norm": 8.718058879764467, + "kl": 1.38671875, + "learning_rate": 3.612465628992203e-07, + "loss": 0.1729, + "reward": 1.9375, + "reward_std": 0.09608826041221619, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 674 + }, + { + "clip_ratio": 0.0, + "completion_length": 549.625, + "epoch": 0.675, + "grad_norm": 10.474436901773498, + "kl": 2.87646484375, + "learning_rate": 3.5982178221668533e-07, + "loss": 0.2636, + "reward": 1.6979166865348816, + "reward_std": 0.3109816312789917, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 675 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.9791870117188, + "epoch": 0.676, + "grad_norm": 9.725329664214886, + "kl": 3.0830078125, + "learning_rate": 3.5839931879571725e-07, + "loss": 0.4888, + "reward": 1.7604166865348816, + "reward_std": 0.314975380897522, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 676 + }, + { + "clip_ratio": 0.0, + "completion_length": 365.60418701171875, + "epoch": 0.677, + "grad_norm": 3.104806476968875, + "kl": 0.3828125, + "learning_rate": 3.5697918996858443e-07, + "loss": 0.0175, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 677 + }, + { + "clip_ratio": 0.0, + "completion_length": 522.7708435058594, + "epoch": 0.678, + "grad_norm": 31.009459384934313, + "kl": 3.4609375, + "learning_rate": 3.555614130391079e-07, + "loss": 0.6262, + "reward": 1.7916666865348816, + "reward_std": 0.17538414150476456, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 678 + }, + { + "clip_ratio": 0.0, + "completion_length": 375.9375, + "epoch": 0.679, + "grad_norm": 8.065044363113154, + "kl": 0.77001953125, + "learning_rate": 3.5414600528245266e-07, + "loss": 0.2675, + "reward": 1.96875, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 679 + }, + { + "clip_ratio": 0.0, + "completion_length": 399.2916717529297, + "epoch": 0.68, + "grad_norm": 4.945598864936947, + "kl": 0.28076171875, + "learning_rate": 3.5273298394491515e-07, + "loss": 0.0356, + "reward": 1.9947916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 680 + }, + { + "clip_ratio": 0.0, + "completion_length": 482.47918701171875, + "epoch": 0.681, + "grad_norm": 18.75089337748267, + "kl": 2.4794921875, + "learning_rate": 3.513223662437147e-07, + "loss": 0.6058, + "reward": 1.8072916865348816, + "reward_std": 0.3214855194091797, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 681 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.8958435058594, + "epoch": 0.682, + "grad_norm": 17.379877040288555, + "kl": 3.326171875, + "learning_rate": 3.4991416936678276e-07, + "loss": 0.4109, + "reward": 1.8697916865348816, + "reward_std": 0.21021871641278267, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 682 + }, + { + "clip_ratio": 0.0, + "completion_length": 404.25001525878906, + "epoch": 0.683, + "grad_norm": 5.272063363799655, + "kl": 0.64990234375, + "learning_rate": 3.4850841047255364e-07, + "loss": 0.0618, + "reward": 1.9479166865348816, + "reward_std": 0.1263538897037506, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 683 + }, + { + "clip_ratio": 0.0, + "completion_length": 437.7708435058594, + "epoch": 0.684, + "grad_norm": 6.3373870231815985, + "kl": 1.5986328125, + "learning_rate": 3.471051066897562e-07, + "loss": 0.3165, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 684 + }, + { + "clip_ratio": 0.0, + "completion_length": 339.9583435058594, + "epoch": 0.685, + "grad_norm": 7.459585178558405, + "kl": 0.5224609375, + "learning_rate": 3.45704275117204e-07, + "loss": 0.0775, + "reward": 1.9479167461395264, + "reward_std": 0.13339675217866898, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 685 + }, + { + "clip_ratio": 0.0, + "completion_length": 580.3125305175781, + "epoch": 0.686, + "grad_norm": 14.569683148694587, + "kl": 3.615234375, + "learning_rate": 3.4430593282358777e-07, + "loss": 0.3833, + "reward": 1.8958333730697632, + "reward_std": 0.17306438833475113, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 686 + }, + { + "clip_ratio": 0.0, + "completion_length": 382.56251525878906, + "epoch": 0.687, + "grad_norm": 7.024535476163044, + "kl": 0.9453125, + "learning_rate": 3.429100968472668e-07, + "loss": 0.1215, + "reward": 1.9427083730697632, + "reward_std": 0.17495156079530716, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 687 + }, + { + "clip_ratio": 0.0, + "completion_length": 458.10418701171875, + "epoch": 0.688, + "grad_norm": 5.89892561311204, + "kl": 1.736328125, + "learning_rate": 3.4151678419606233e-07, + "loss": 0.3014, + "reward": 1.9427083730697632, + "reward_std": 0.12497352808713913, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 688 + }, + { + "clip_ratio": 0.0, + "completion_length": 469.8958435058594, + "epoch": 0.689, + "grad_norm": 7.588207971045676, + "kl": 2.1171875, + "learning_rate": 3.4012601184704904e-07, + "loss": 0.4495, + "reward": 1.9166666865348816, + "reward_std": 0.19839920848608017, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333730697632, + "step": 689 + }, + { + "clip_ratio": 0.0, + "completion_length": 506.58335876464844, + "epoch": 0.69, + "grad_norm": 18.33227477565721, + "kl": 2.375, + "learning_rate": 3.387377967463493e-07, + "loss": 0.2341, + "reward": 1.7656250596046448, + "reward_std": 0.10371024534106255, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 690 + }, + { + "clip_ratio": 0.0, + "completion_length": 341.56251525878906, + "epoch": 0.691, + "grad_norm": 0.9699860334723364, + "kl": 0.15478515625, + "learning_rate": 3.3735215580892575e-07, + "loss": 0.0067, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 691 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.2291717529297, + "epoch": 0.692, + "grad_norm": 7.76152289717968, + "kl": 2.16015625, + "learning_rate": 3.359691059183761e-07, + "loss": 0.4388, + "reward": 1.7916666865348816, + "reward_std": 0.3108699470758438, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 692 + }, + { + "clip_ratio": 0.0, + "completion_length": 443.22918701171875, + "epoch": 0.693, + "grad_norm": 7.333262641142574, + "kl": 1.40673828125, + "learning_rate": 3.3458866392672694e-07, + "loss": 0.1375, + "reward": 1.8072916865348816, + "reward_std": 0.09776745736598969, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 693 + }, + { + "clip_ratio": 0.0, + "completion_length": 485.1458435058594, + "epoch": 0.694, + "grad_norm": 15.76007301171471, + "kl": 2.71484375, + "learning_rate": 3.3321084665422803e-07, + "loss": 0.6101, + "reward": 1.9010416865348816, + "reward_std": 0.23052222281694412, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 694 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.8958435058594, + "epoch": 0.695, + "grad_norm": 13.8312684886872, + "kl": 1.9111328125, + "learning_rate": 3.3183567088914833e-07, + "loss": 0.7307, + "reward": 1.8802083730697632, + "reward_std": 0.25236696004867554, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 695 + }, + { + "clip_ratio": 0.0, + "completion_length": 356.125, + "epoch": 0.696, + "grad_norm": 3.142846506316496, + "kl": 0.3759765625, + "learning_rate": 3.3046315338757026e-07, + "loss": 0.0536, + "reward": 1.984375, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 696 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.3750305175781, + "epoch": 0.697, + "grad_norm": 5.588010924626038, + "kl": 1.66650390625, + "learning_rate": 3.290933108731866e-07, + "loss": 0.2265, + "reward": 1.8020833730697632, + "reward_std": 0.21084074676036835, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 697 + }, + { + "clip_ratio": 0.0, + "completion_length": 415.2708435058594, + "epoch": 0.698, + "grad_norm": 4.085307118062538, + "kl": 0.992919921875, + "learning_rate": 3.2772616003709616e-07, + "loss": 0.1462, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 698 + }, + { + "clip_ratio": 0.0, + "completion_length": 341.3541717529297, + "epoch": 0.699, + "grad_norm": 1.2279757873288046, + "kl": 0.18212890625, + "learning_rate": 3.263617175376001e-07, + "loss": 0.0079, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 699 + }, + { + "clip_ratio": 0.0, + "completion_length": 742.6458587646484, + "epoch": 0.7, + "grad_norm": 10.139398098084365, + "kl": 5.00390625, + "learning_rate": 3.250000000000001e-07, + "loss": 0.7811, + "reward": 1.75, + "reward_std": 0.3389703258872032, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8750000298023224, + "step": 700 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.5208435058594, + "epoch": 0.701, + "grad_norm": 6.657850920838966, + "kl": 2.15625, + "learning_rate": 3.2364102401639423e-07, + "loss": 0.3804, + "reward": 1.8125000596046448, + "reward_std": 0.35387982428073883, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 701 + }, + { + "clip_ratio": 0.0, + "completion_length": 551.0416870117188, + "epoch": 0.702, + "grad_norm": 29.768138074376726, + "kl": 1.987060546875, + "learning_rate": 3.222848061454764e-07, + "loss": 0.0773, + "reward": 1.6145833730697632, + "reward_std": 0.156256303191185, + "rewards/accuracy_reward": 0.6875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 702 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.10418701171875, + "epoch": 0.703, + "grad_norm": 2.3089932161894913, + "kl": 0.314208984375, + "learning_rate": 3.209313629123329e-07, + "loss": 0.0155, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 703 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.97918701171875, + "epoch": 0.704, + "grad_norm": 30.19692141758088, + "kl": 1.49609375, + "learning_rate": 3.195807108082429e-07, + "loss": 0.6103, + "reward": 1.8333333730697632, + "reward_std": 0.44709303975105286, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 704 + }, + { + "clip_ratio": 0.0, + "completion_length": 390.2708435058594, + "epoch": 0.705, + "grad_norm": 12.7039868505871, + "kl": 0.44873046875, + "learning_rate": 3.182328662904756e-07, + "loss": 0.21, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 705 + }, + { + "clip_ratio": 0.0, + "completion_length": 606.2916870117188, + "epoch": 0.706, + "grad_norm": 32.55623223008865, + "kl": 1.8828125, + "learning_rate": 3.168878457820915e-07, + "loss": 0.101, + "reward": 1.7083333730697632, + "reward_std": 0.23976805061101913, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 706 + }, + { + "clip_ratio": 0.0, + "completion_length": 400.5208435058594, + "epoch": 0.707, + "grad_norm": 14.333505597413973, + "kl": 0.614990234375, + "learning_rate": 3.155456656717408e-07, + "loss": 0.2913, + "reward": 1.953125, + "reward_std": 0.16237977147102356, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 707 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.7916717529297, + "epoch": 0.708, + "grad_norm": 9.988399285895824, + "kl": 1.99609375, + "learning_rate": 3.142063423134644e-07, + "loss": 0.4525, + "reward": 1.6458333730697632, + "reward_std": 0.43036723136901855, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 708 + }, + { + "clip_ratio": 0.0, + "completion_length": 639.0416870117188, + "epoch": 0.709, + "grad_norm": 9.923037129609137, + "kl": 3.78125, + "learning_rate": 3.1286989202649503e-07, + "loss": 0.4593, + "reward": 1.6406250596046448, + "reward_std": 0.32235653698444366, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 709 + }, + { + "clip_ratio": 0.0, + "completion_length": 347.1666717529297, + "epoch": 0.71, + "grad_norm": 1.0453519254579182, + "kl": 0.163330078125, + "learning_rate": 3.115363310950578e-07, + "loss": 0.0071, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 710 + }, + { + "clip_ratio": 0.0, + "completion_length": 326.56251525878906, + "epoch": 0.711, + "grad_norm": 3.2849089415625996, + "kl": 0.09765625, + "learning_rate": 3.102056757681715e-07, + "loss": 0.0039, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 711 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.56251525878906, + "epoch": 0.712, + "grad_norm": 9.211696561129303, + "kl": 1.8671875, + "learning_rate": 3.0887794225945143e-07, + "loss": 0.4281, + "reward": 1.7760417461395264, + "reward_std": 0.1180451512336731, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 712 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.72918701171875, + "epoch": 0.713, + "grad_norm": 10.16731006575068, + "kl": 1.271484375, + "learning_rate": 3.075531467469116e-07, + "loss": 0.2044, + "reward": 1.5677083730697632, + "reward_std": 0.15415260195732117, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 713 + }, + { + "clip_ratio": 0.0, + "completion_length": 591.7291870117188, + "epoch": 0.714, + "grad_norm": 7.644656692644529, + "kl": 2.052734375, + "learning_rate": 3.062313053727671e-07, + "loss": 0.2548, + "reward": 1.8906250596046448, + "reward_std": 0.14420080184936523, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 714 + }, + { + "clip_ratio": 0.0, + "completion_length": 511.6875305175781, + "epoch": 0.715, + "grad_norm": 17.428411727398277, + "kl": 1.3359375, + "learning_rate": 3.0491243424323783e-07, + "loss": 0.4885, + "reward": 1.7239583730697632, + "reward_std": 0.35039304196834564, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 715 + }, + { + "clip_ratio": 0.0, + "completion_length": 367.00001525878906, + "epoch": 0.716, + "grad_norm": 5.795807819669617, + "kl": 0.2197265625, + "learning_rate": 3.0359654942835247e-07, + "loss": 0.0608, + "reward": 1.5260416865348816, + "reward_std": 0.15143895149230957, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 716 + }, + { + "clip_ratio": 0.0, + "completion_length": 593.0833587646484, + "epoch": 0.717, + "grad_norm": 17.12159414092038, + "kl": 2.796875, + "learning_rate": 3.02283666961752e-07, + "loss": 0.3553, + "reward": 1.6197916865348816, + "reward_std": 0.32312043011188507, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 717 + }, + { + "clip_ratio": 0.0, + "completion_length": 479.1875305175781, + "epoch": 0.718, + "grad_norm": 4.42017793182423, + "kl": 1.0888671875, + "learning_rate": 3.0097380284049523e-07, + "loss": 0.2418, + "reward": 1.8177083730697632, + "reward_std": 0.29496608674526215, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 718 + }, + { + "clip_ratio": 0.0, + "completion_length": 516.2916870117188, + "epoch": 0.719, + "grad_norm": 4.066723573849035, + "kl": 1.466796875, + "learning_rate": 2.996669730248628e-07, + "loss": 0.1836, + "reward": 1.9010416865348816, + "reward_std": 0.16091519594192505, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 719 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.6875, + "epoch": 0.72, + "grad_norm": 13.88675900880161, + "kl": 1.712890625, + "learning_rate": 2.9836319343816397e-07, + "loss": 0.2485, + "reward": 1.8385417461395264, + "reward_std": 0.20586540549993515, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083730697632, + "step": 720 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.1458435058594, + "epoch": 0.721, + "grad_norm": 12.748686066507087, + "kl": 1.05322265625, + "learning_rate": 2.9706247996654134e-07, + "loss": 0.3131, + "reward": 1.8177083730697632, + "reward_std": 0.32699036598205566, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 721 + }, + { + "clip_ratio": 0.0, + "completion_length": 375.25, + "epoch": 0.722, + "grad_norm": 2.5167647725002316, + "kl": 0.33935546875, + "learning_rate": 2.9576484845877793e-07, + "loss": 0.0215, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 722 + }, + { + "clip_ratio": 0.0, + "completion_length": 394.81251525878906, + "epoch": 0.723, + "grad_norm": 7.251829155077994, + "kl": 0.1787109375, + "learning_rate": 2.944703147261046e-07, + "loss": 0.0773, + "reward": 1.7447916865348816, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 723 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.8333435058594, + "epoch": 0.724, + "grad_norm": 14.761227216324544, + "kl": 0.609375, + "learning_rate": 2.931788945420058e-07, + "loss": 0.1776, + "reward": 1.9583333730697632, + "reward_std": 0.10825316980481148, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 724 + }, + { + "clip_ratio": 0.0, + "completion_length": 389.5416717529297, + "epoch": 0.725, + "grad_norm": 6.243168978434975, + "kl": 0.25830078125, + "learning_rate": 2.918906036420294e-07, + "loss": 0.0707, + "reward": 1.9791667461395264, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 725 + }, + { + "clip_ratio": 0.0, + "completion_length": 456.1041717529297, + "epoch": 0.726, + "grad_norm": 5.5600893276951835, + "kl": 0.5478515625, + "learning_rate": 2.9060545772359305e-07, + "loss": 0.0337, + "reward": 1.8854166865348816, + "reward_std": 0.13458873704075813, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 726 + }, + { + "clip_ratio": 0.0, + "completion_length": 642.875, + "epoch": 0.727, + "grad_norm": 7.974492121254368, + "kl": 2.0380859375, + "learning_rate": 2.893234724457946e-07, + "loss": 0.4957, + "reward": 1.6614583730697632, + "reward_std": 0.43694548308849335, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 727 + }, + { + "clip_ratio": 0.0, + "completion_length": 868.0625305175781, + "epoch": 0.728, + "grad_norm": 18.398151917865814, + "kl": 4.5, + "learning_rate": 2.8804466342921987e-07, + "loss": 0.5892, + "reward": 1.5208333730697632, + "reward_std": 0.42187660932540894, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7916666865348816, + "step": 728 + }, + { + "clip_ratio": 0.0, + "completion_length": 666.7500305175781, + "epoch": 0.729, + "grad_norm": 22.690140168287954, + "kl": 2.859375, + "learning_rate": 2.86769046255753e-07, + "loss": 0.1898, + "reward": 1.4270833730697632, + "reward_std": 0.30900222063064575, + "rewards/accuracy_reward": 0.5625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833432674408, + "step": 729 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.2708740234375, + "epoch": 0.73, + "grad_norm": 22.900002006250954, + "kl": 1.78515625, + "learning_rate": 2.854966364683872e-07, + "loss": 0.4223, + "reward": 1.7812500596046448, + "reward_std": 0.3125811293721199, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 730 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.5833435058594, + "epoch": 0.731, + "grad_norm": 15.774414896639312, + "kl": 3.4375, + "learning_rate": 2.842274495710335e-07, + "loss": 0.3655, + "reward": 1.6875000596046448, + "reward_std": 0.36248913407325745, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8541666865348816, + "step": 731 + }, + { + "clip_ratio": 0.0, + "completion_length": 316.1041717529297, + "epoch": 0.732, + "grad_norm": 0.7330881354800509, + "kl": 0.091796875, + "learning_rate": 2.829615010283344e-07, + "loss": 0.0037, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 732 + }, + { + "clip_ratio": 0.0, + "completion_length": 629.7291870117188, + "epoch": 0.733, + "grad_norm": 24.723855367343294, + "kl": 2.705078125, + "learning_rate": 2.8169880626547283e-07, + "loss": 0.2251, + "reward": 1.765625, + "reward_std": 0.20550191029906273, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 733 + }, + { + "clip_ratio": 0.0, + "completion_length": 429.31251525878906, + "epoch": 0.734, + "grad_norm": 4.581110895233979, + "kl": 0.569580078125, + "learning_rate": 2.8043938066798645e-07, + "loss": 0.079, + "reward": 1.9427083730697632, + "reward_std": 0.11716237664222717, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 734 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.7500305175781, + "epoch": 0.735, + "grad_norm": 6.214394260264761, + "kl": 2.03759765625, + "learning_rate": 2.791832395815782e-07, + "loss": 0.3873, + "reward": 1.7031250596046448, + "reward_std": 0.408438578248024, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 735 + }, + { + "clip_ratio": 0.0, + "completion_length": 385.18751525878906, + "epoch": 0.736, + "grad_norm": 11.63268791970304, + "kl": 0.23876953125, + "learning_rate": 2.7793039831193133e-07, + "loss": 0.2088, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 736 + }, + { + "clip_ratio": 0.0, + "completion_length": 607.2083435058594, + "epoch": 0.737, + "grad_norm": 16.775131439725214, + "kl": 2.396484375, + "learning_rate": 2.766808721245211e-07, + "loss": 0.6521, + "reward": 1.6614583730697632, + "reward_std": 0.4493499845266342, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 737 + }, + { + "clip_ratio": 0.0, + "completion_length": 527.1458435058594, + "epoch": 0.738, + "grad_norm": 6.7290983199941845, + "kl": 1.4765625, + "learning_rate": 2.7543467624442956e-07, + "loss": 0.2432, + "reward": 1.6979167461395264, + "reward_std": 0.33060067147016525, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 738 + }, + { + "clip_ratio": 0.0, + "completion_length": 495.8333435058594, + "epoch": 0.739, + "grad_norm": 5.5907904218550195, + "kl": 1.45556640625, + "learning_rate": 2.741918258561607e-07, + "loss": 0.3125, + "reward": 1.8281250596046448, + "reward_std": 0.26883548498153687, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 739 + }, + { + "clip_ratio": 0.0, + "completion_length": 395.25001525878906, + "epoch": 0.74, + "grad_norm": 12.98191392607371, + "kl": 0.7626953125, + "learning_rate": 2.729523361034538e-07, + "loss": 0.3345, + "reward": 1.9062500596046448, + "reward_std": 0.25934017449617386, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 740 + }, + { + "clip_ratio": 0.0, + "completion_length": 578.0833435058594, + "epoch": 0.741, + "grad_norm": 5.58196058975895, + "kl": 1.925537109375, + "learning_rate": 2.717162220891007e-07, + "loss": 0.3753, + "reward": 1.875, + "reward_std": 0.1878853738307953, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.875, + "step": 741 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.81251525878906, + "epoch": 0.742, + "grad_norm": 47.61043656749001, + "kl": 0.455078125, + "learning_rate": 2.7048349887476037e-07, + "loss": 0.234, + "reward": 1.96875, + "reward_std": 0.10825317353010178, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 742 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.8541870117188, + "epoch": 0.743, + "grad_norm": 21.950415777530985, + "kl": 1.474609375, + "learning_rate": 2.692541814807763e-07, + "loss": 0.7038, + "reward": 1.8802083730697632, + "reward_std": 0.28356732428073883, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 743 + }, + { + "clip_ratio": 0.0, + "completion_length": 697.7708435058594, + "epoch": 0.744, + "grad_norm": 10.980318043858643, + "kl": 2.8125, + "learning_rate": 2.6802828488599294e-07, + "loss": 0.6072, + "reward": 1.4895833730697632, + "reward_std": 0.348388459533453, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 744 + }, + { + "clip_ratio": 0.0, + "completion_length": 765.7708740234375, + "epoch": 0.745, + "grad_norm": 22.71300386629857, + "kl": 4.21875, + "learning_rate": 2.6680582402757324e-07, + "loss": 0.4176, + "reward": 1.4687500596046448, + "reward_std": 0.4039232060313225, + "rewards/accuracy_reward": 0.6458333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8229166865348816, + "step": 745 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.8333435058594, + "epoch": 0.746, + "grad_norm": 9.28912253634519, + "kl": 2.28515625, + "learning_rate": 2.655868138008171e-07, + "loss": 0.6251, + "reward": 1.8906250596046448, + "reward_std": 0.26262669265270233, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 746 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.5208435058594, + "epoch": 0.747, + "grad_norm": 9.633261077244628, + "kl": 1.46484375, + "learning_rate": 2.6437126905897967e-07, + "loss": 0.3679, + "reward": 1.8750000596046448, + "reward_std": 0.2426239252090454, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 747 + }, + { + "clip_ratio": 0.0, + "completion_length": 368.6875, + "epoch": 0.748, + "grad_norm": 1.3739521074542798, + "kl": 0.173095703125, + "learning_rate": 2.631592046130896e-07, + "loss": 0.007, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 748 + }, + { + "clip_ratio": 0.0, + "completion_length": 372.37501525878906, + "epoch": 0.749, + "grad_norm": 11.453213641212772, + "kl": 0.759765625, + "learning_rate": 2.6195063523177e-07, + "loss": 0.2469, + "reward": 1.9479166865348816, + "reward_std": 0.1461983658373356, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9687500298023224, + "step": 749 + }, + { + "clip_ratio": 0.0, + "completion_length": 369.62501525878906, + "epoch": 0.75, + "grad_norm": 5.12693301829503, + "kl": 0.9189453125, + "learning_rate": 2.6074557564105724e-07, + "loss": 0.0712, + "reward": 1.9166666865348816, + "reward_std": 0.18523554503917694, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 750 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.9375, + "epoch": 0.751, + "grad_norm": 6.286447945604738, + "kl": 1.32421875, + "learning_rate": 2.595440405242222e-07, + "loss": 0.198, + "reward": 1.9270833730697632, + "reward_std": 0.12164046615362167, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 751 + }, + { + "clip_ratio": 0.0, + "completion_length": 457.3541717529297, + "epoch": 0.752, + "grad_norm": 9.824686585527399, + "kl": 2.8125, + "learning_rate": 2.583460445215911e-07, + "loss": 0.4985, + "reward": 1.8958333730697632, + "reward_std": 0.30491530895233154, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 752 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.72918701171875, + "epoch": 0.753, + "grad_norm": 3.5912283463784984, + "kl": 1.06787109375, + "learning_rate": 2.571516022303671e-07, + "loss": 0.2436, + "reward": 1.953125, + "reward_std": 0.1281561702489853, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 753 + }, + { + "clip_ratio": 0.0, + "completion_length": 525.5833435058594, + "epoch": 0.754, + "grad_norm": 10.999543408139116, + "kl": 2.2734375, + "learning_rate": 2.5596072820445254e-07, + "loss": 0.3437, + "reward": 1.7239583730697632, + "reward_std": 0.36418458819389343, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 754 + }, + { + "clip_ratio": 0.0, + "completion_length": 408.5833435058594, + "epoch": 0.755, + "grad_norm": 12.043473083750008, + "kl": 1.248046875, + "learning_rate": 2.547734369542718e-07, + "loss": 0.3779, + "reward": 1.7135416865348816, + "reward_std": 0.12629536911845207, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 755 + }, + { + "clip_ratio": 0.0, + "completion_length": 416.62501525878906, + "epoch": 0.756, + "grad_norm": 5.251568437182964, + "kl": 1.882568359375, + "learning_rate": 2.5358974294659373e-07, + "loss": 0.289, + "reward": 1.8958333730697632, + "reward_std": 0.2655413746833801, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 756 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.3541717529297, + "epoch": 0.757, + "grad_norm": 27.723671273560402, + "kl": 1.955078125, + "learning_rate": 2.5240966060435674e-07, + "loss": 0.3962, + "reward": 1.9375, + "reward_std": 0.19795067235827446, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 757 + }, + { + "clip_ratio": 0.0, + "completion_length": 444.31251525878906, + "epoch": 0.758, + "grad_norm": 15.600424673597132, + "kl": 1.95166015625, + "learning_rate": 2.512332043064913e-07, + "loss": 0.2562, + "reward": 1.8229166865348816, + "reward_std": 0.1550140678882599, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 758 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.8125, + "epoch": 0.759, + "grad_norm": 24.009973204121238, + "kl": 2.46484375, + "learning_rate": 2.5006038838774647e-07, + "loss": 0.2499, + "reward": 1.765625, + "reward_std": 0.193053238093853, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 759 + }, + { + "clip_ratio": 0.0, + "completion_length": 353.8958435058594, + "epoch": 0.76, + "grad_norm": 12.827717740116938, + "kl": 0.4296875, + "learning_rate": 2.488912271385139e-07, + "loss": -0.0412, + "reward": 1.7708333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 760 + }, + { + "clip_ratio": 0.0, + "completion_length": 505.54168701171875, + "epoch": 0.761, + "grad_norm": 11.366192562927665, + "kl": 2.64453125, + "learning_rate": 2.4772573480465445e-07, + "loss": 0.3814, + "reward": 1.75, + "reward_std": 0.2551109194755554, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 761 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.1666717529297, + "epoch": 0.762, + "grad_norm": 12.59853091065054, + "kl": 0.998046875, + "learning_rate": 2.465639255873246e-07, + "loss": 0.2772, + "reward": 1.6875000596046448, + "reward_std": 0.183121956884861, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 762 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.7083435058594, + "epoch": 0.763, + "grad_norm": 23.871057557588358, + "kl": 1.45654296875, + "learning_rate": 2.454058136428027e-07, + "loss": 0.0873, + "reward": 1.5364583730697632, + "reward_std": 0.08618465065956116, + "rewards/accuracy_reward": 0.5625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 763 + }, + { + "clip_ratio": 0.0, + "completion_length": 464.56251525878906, + "epoch": 0.764, + "grad_norm": 9.770183662921154, + "kl": 1.62890625, + "learning_rate": 2.4425141308231765e-07, + "loss": 0.4394, + "reward": 1.875, + "reward_std": 0.17368127778172493, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 764 + }, + { + "clip_ratio": 0.0, + "completion_length": 543.3333435058594, + "epoch": 0.765, + "grad_norm": 11.883086611599984, + "kl": 2.2734375, + "learning_rate": 2.4310073797187573e-07, + "loss": 0.6227, + "reward": 1.5625, + "reward_std": 0.37577906250953674, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 765 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.31251525878906, + "epoch": 0.766, + "grad_norm": 5.918853257889928, + "kl": 0.80322265625, + "learning_rate": 2.4195380233209006e-07, + "loss": 0.1821, + "reward": 1.96875, + "reward_std": 0.07769769430160522, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 766 + }, + { + "clip_ratio": 0.0, + "completion_length": 592.3750152587891, + "epoch": 0.767, + "grad_norm": 7.72225659937188, + "kl": 3.03369140625, + "learning_rate": 2.408106201380097e-07, + "loss": 0.5582, + "reward": 1.4947916865348816, + "reward_std": 0.3689124286174774, + "rewards/accuracy_reward": 0.6041666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 767 + }, + { + "clip_ratio": 0.0, + "completion_length": 471.39585876464844, + "epoch": 0.768, + "grad_norm": 13.29949755910264, + "kl": 1.58251953125, + "learning_rate": 2.3967120531894857e-07, + "loss": 0.0493, + "reward": 1.7604166865348816, + "reward_std": 0.08771618455648422, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 768 + }, + { + "clip_ratio": 0.0, + "completion_length": 527.5000305175781, + "epoch": 0.769, + "grad_norm": 10.981151982341768, + "kl": 2.3212890625, + "learning_rate": 2.38535571758317e-07, + "loss": 0.3413, + "reward": 1.7083333730697632, + "reward_std": 0.166842982172966, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 769 + }, + { + "clip_ratio": 0.0, + "completion_length": 709.4166870117188, + "epoch": 0.77, + "grad_norm": 10.937949977934677, + "kl": 4.078125, + "learning_rate": 2.374037332934512e-07, + "loss": 0.4597, + "reward": 1.6406250596046448, + "reward_std": 0.37205876410007477, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 770 + }, + { + "clip_ratio": 0.0, + "completion_length": 442.41668701171875, + "epoch": 0.771, + "grad_norm": 11.113716555269422, + "kl": 1.22119140625, + "learning_rate": 2.36275703715446e-07, + "loss": 0.1746, + "reward": 1.796875, + "reward_std": 0.0965491235256195, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 771 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.18751525878906, + "epoch": 0.772, + "grad_norm": 13.657549444048158, + "kl": 0.87548828125, + "learning_rate": 2.3515149676898552e-07, + "loss": 0.2508, + "reward": 1.953125, + "reward_std": 0.14568756520748138, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 772 + }, + { + "clip_ratio": 0.0, + "completion_length": 593.2708435058594, + "epoch": 0.773, + "grad_norm": 5.647172563839161, + "kl": 2.490234375, + "learning_rate": 2.3403112615217693e-07, + "loss": 0.276, + "reward": 1.6979167461395264, + "reward_std": 0.3060782104730606, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 773 + }, + { + "clip_ratio": 0.0, + "completion_length": 534.6458435058594, + "epoch": 0.774, + "grad_norm": 5.380705143919367, + "kl": 1.48828125, + "learning_rate": 2.3291460551638237e-07, + "loss": 0.182, + "reward": 1.9062500596046448, + "reward_std": 0.17639562487602234, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 774 + }, + { + "clip_ratio": 0.0, + "completion_length": 427.9583435058594, + "epoch": 0.775, + "grad_norm": 7.227834304046939, + "kl": 0.38134765625, + "learning_rate": 2.3180194846605364e-07, + "loss": 0.1919, + "reward": 1.875, + "reward_std": 0.20090095698833466, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 775 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.43751525878906, + "epoch": 0.776, + "grad_norm": 8.637535551458807, + "kl": 0.7099609375, + "learning_rate": 2.306931685585657e-07, + "loss": 0.1274, + "reward": 1.828125, + "reward_std": 0.14113369584083557, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 776 + }, + { + "clip_ratio": 0.0, + "completion_length": 356.7291717529297, + "epoch": 0.777, + "grad_norm": 5.443953406189849, + "kl": 0.262939453125, + "learning_rate": 2.2958827930405162e-07, + "loss": 0.0884, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 777 + }, + { + "clip_ratio": 0.0, + "completion_length": 736.9166870117188, + "epoch": 0.778, + "grad_norm": 12.488748653101004, + "kl": 3.8671875, + "learning_rate": 2.2848729416523859e-07, + "loss": 0.4991, + "reward": 1.4635416865348816, + "reward_std": 0.41394008696079254, + "rewards/accuracy_reward": 0.6458333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8177083730697632, + "step": 778 + }, + { + "clip_ratio": 0.0, + "completion_length": 454.31251525878906, + "epoch": 0.779, + "grad_norm": 27.421105424501206, + "kl": 0.912109375, + "learning_rate": 2.2739022655728277e-07, + "loss": 0.5184, + "reward": 1.9010416865348816, + "reward_std": 0.32610950991511345, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083730697632, + "step": 779 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.6875305175781, + "epoch": 0.78, + "grad_norm": 6.444707163031271, + "kl": 0.8994140625, + "learning_rate": 2.2629708984760706e-07, + "loss": 0.1452, + "reward": 1.7864583730697632, + "reward_std": 0.1290765255689621, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 780 + }, + { + "clip_ratio": 0.0, + "completion_length": 412.3125, + "epoch": 0.781, + "grad_norm": 3.260890956680781, + "kl": 0.52783203125, + "learning_rate": 2.2520789735573704e-07, + "loss": 0.0552, + "reward": 1.9739583730697632, + "reward_std": 0.06226281076669693, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 781 + }, + { + "clip_ratio": 0.0, + "completion_length": 440.72918701171875, + "epoch": 0.782, + "grad_norm": 20.761835302852564, + "kl": 0.396484375, + "learning_rate": 2.2412266235313973e-07, + "loss": -0.1212, + "reward": 2.005208373069763, + "reward_std": 0.018042195588350296, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.984375, + "step": 782 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.4375, + "epoch": 0.783, + "grad_norm": 5.448229360479665, + "kl": 0.571533203125, + "learning_rate": 2.230413980630609e-07, + "loss": 0.0445, + "reward": 1.8750000596046448, + "reward_std": 0.18934839963912964, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 783 + }, + { + "clip_ratio": 0.0, + "completion_length": 548.0208587646484, + "epoch": 0.784, + "grad_norm": 15.37025204894443, + "kl": 1.47265625, + "learning_rate": 2.2196411766036487e-07, + "loss": 0.2681, + "reward": 1.3697917461395264, + "reward_std": 0.2829871401190758, + "rewards/accuracy_reward": 0.4583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 784 + }, + { + "clip_ratio": 0.0, + "completion_length": 524.1250152587891, + "epoch": 0.785, + "grad_norm": 4.217285150765813, + "kl": 1.259033203125, + "learning_rate": 2.2089083427137329e-07, + "loss": 0.1985, + "reward": 1.90625, + "reward_std": 0.10148052871227264, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 785 + }, + { + "clip_ratio": 0.0, + "completion_length": 450.18751525878906, + "epoch": 0.786, + "grad_norm": 12.95383681415401, + "kl": 0.6337890625, + "learning_rate": 2.1982156097370557e-07, + "loss": 0.2129, + "reward": 1.9218750596046448, + "reward_std": 0.1651609167456627, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 786 + }, + { + "clip_ratio": 0.0, + "completion_length": 556.0833435058594, + "epoch": 0.787, + "grad_norm": 10.123070320918194, + "kl": 1.146484375, + "learning_rate": 2.1875631079611956e-07, + "loss": 0.397, + "reward": 1.8958333730697632, + "reward_std": 0.17987383902072906, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 787 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.7916717529297, + "epoch": 0.788, + "grad_norm": 59.96109238008041, + "kl": 0.58203125, + "learning_rate": 2.1769509671835223e-07, + "loss": 0.382, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 788 + }, + { + "clip_ratio": 0.0, + "completion_length": 504.66668701171875, + "epoch": 0.789, + "grad_norm": 7.815572673454279, + "kl": 1.296875, + "learning_rate": 2.166379316709625e-07, + "loss": 0.2516, + "reward": 1.4791666865348816, + "reward_std": 0.22677228599786758, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 789 + }, + { + "clip_ratio": 0.0, + "completion_length": 481.5416717529297, + "epoch": 0.79, + "grad_norm": 18.13324153118153, + "kl": 1.017578125, + "learning_rate": 2.1558482853517253e-07, + "loss": 0.5292, + "reward": 1.921875, + "reward_std": 0.20250799879431725, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 790 + }, + { + "clip_ratio": 0.0, + "completion_length": 418.25, + "epoch": 0.791, + "grad_norm": 1.0247941528534334, + "kl": 0.219482421875, + "learning_rate": 2.1453580014271203e-07, + "loss": 0.0089, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 791 + }, + { + "clip_ratio": 0.0, + "completion_length": 361.3333435058594, + "epoch": 0.792, + "grad_norm": 3.0229533398948027, + "kl": 0.13916015625, + "learning_rate": 2.134908592756607e-07, + "loss": 0.0196, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 792 + }, + { + "clip_ratio": 0.0, + "completion_length": 436.7291717529297, + "epoch": 0.793, + "grad_norm": 18.3906976488108, + "kl": 0.953125, + "learning_rate": 2.124500186662932e-07, + "loss": 0.4588, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 793 + }, + { + "clip_ratio": 0.0, + "completion_length": 492.93751525878906, + "epoch": 0.794, + "grad_norm": 7.771453323186821, + "kl": 1.0390625, + "learning_rate": 2.1141329099692406e-07, + "loss": 0.1561, + "reward": 1.7083333730697632, + "reward_std": 0.1779182329773903, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 794 + }, + { + "clip_ratio": 0.0, + "completion_length": 638.2916870117188, + "epoch": 0.795, + "grad_norm": 59.61100557440209, + "kl": 4.12109375, + "learning_rate": 2.1038068889975259e-07, + "loss": 1.012, + "reward": 1.6458333730697632, + "reward_std": 0.5022158622741699, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 795 + }, + { + "clip_ratio": 0.0, + "completion_length": 399.6666717529297, + "epoch": 0.796, + "grad_norm": 15.760272223313777, + "kl": 0.4375, + "learning_rate": 2.0935222495670968e-07, + "loss": 0.2244, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 796 + }, + { + "clip_ratio": 0.0, + "completion_length": 815.5208740234375, + "epoch": 0.797, + "grad_norm": 11.679933547512489, + "kl": 4.65625, + "learning_rate": 2.0832791169930363e-07, + "loss": 0.501, + "reward": 1.4895833730697632, + "reward_std": 0.4656493365764618, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8229166865348816, + "step": 797 + }, + { + "clip_ratio": 0.0, + "completion_length": 602.2500152587891, + "epoch": 0.798, + "grad_norm": 14.854978403567321, + "kl": 2.2578125, + "learning_rate": 2.0730776160846853e-07, + "loss": 0.4897, + "reward": 1.8750000596046448, + "reward_std": 0.15769054368138313, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 798 + }, + { + "clip_ratio": 0.0, + "completion_length": 640.5625305175781, + "epoch": 0.799, + "grad_norm": 6.275810383361826, + "kl": 3.0751953125, + "learning_rate": 2.0629178711441115e-07, + "loss": 0.4361, + "reward": 1.7083333730697632, + "reward_std": 0.31055209040641785, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 799 + }, + { + "clip_ratio": 0.0, + "completion_length": 654.6458435058594, + "epoch": 0.8, + "grad_norm": 7.092189554092769, + "kl": 2.1650390625, + "learning_rate": 2.0528000059645995e-07, + "loss": 0.1893, + "reward": 1.6979166865348816, + "reward_std": 0.163921520113945, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 800 + }, + { + "clip_ratio": 0.0, + "completion_length": 692.4166870117188, + "epoch": 0.801, + "grad_norm": 22.421636074169705, + "kl": 3.359375, + "learning_rate": 2.042724143829146e-07, + "loss": 0.1977, + "reward": 1.6510416865348816, + "reward_std": 0.2480478212237358, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083432674408, + "step": 801 + }, + { + "clip_ratio": 0.0, + "completion_length": 471.8958435058594, + "epoch": 0.802, + "grad_norm": 16.215249905637823, + "kl": 1.04296875, + "learning_rate": 2.032690407508949e-07, + "loss": 0.0668, + "reward": 1.5208333730697632, + "reward_std": 0.055476587265729904, + "rewards/accuracy_reward": 0.5625, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 802 + }, + { + "clip_ratio": 0.0, + "completion_length": 414.2291717529297, + "epoch": 0.803, + "grad_norm": 11.593000511531278, + "kl": 0.533203125, + "learning_rate": 2.0226989192619204e-07, + "loss": 0.2118, + "reward": 1.9739583730697632, + "reward_std": 0.09021097794175148, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 803 + }, + { + "clip_ratio": 0.0, + "completion_length": 691.2083740234375, + "epoch": 0.804, + "grad_norm": 11.957552251244676, + "kl": 2.46875, + "learning_rate": 2.0127498008311922e-07, + "loss": 0.2831, + "reward": 1.7447916865348816, + "reward_std": 0.24248994886875153, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 804 + }, + { + "clip_ratio": 0.0, + "completion_length": 425.5208435058594, + "epoch": 0.805, + "grad_norm": 6.713224493471999, + "kl": 0.888671875, + "learning_rate": 2.0028431734436308e-07, + "loss": 0.2372, + "reward": 1.7239583730697632, + "reward_std": 0.30906153470277786, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 805 + }, + { + "clip_ratio": 0.0, + "completion_length": 760.1041870117188, + "epoch": 0.806, + "grad_norm": 10.984652662962171, + "kl": 3.7734375, + "learning_rate": 1.9929791578083655e-07, + "loss": 0.7889, + "reward": 1.6406250596046448, + "reward_std": 0.37293438613414764, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 806 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.7916717529297, + "epoch": 0.807, + "grad_norm": 10.599510437745305, + "kl": 1.21875, + "learning_rate": 1.9831578741153155e-07, + "loss": 0.3295, + "reward": 1.8854166865348816, + "reward_std": 0.25331807136535645, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 807 + }, + { + "clip_ratio": 0.0, + "completion_length": 490.0208435058594, + "epoch": 0.808, + "grad_norm": 6.223489420982448, + "kl": 1.19921875, + "learning_rate": 1.9733794420337213e-07, + "loss": 0.2697, + "reward": 1.9010416865348816, + "reward_std": 0.22727635502815247, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 808 + }, + { + "clip_ratio": 0.0, + "completion_length": 362.93751525878906, + "epoch": 0.809, + "grad_norm": 5.373605387452282, + "kl": 0.3720703125, + "learning_rate": 1.9636439807106912e-07, + "loss": 0.0168, + "reward": 1.7864583730697632, + "reward_std": 0.176949180662632, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 809 + }, + { + "clip_ratio": 0.0, + "completion_length": 448.33335876464844, + "epoch": 0.81, + "grad_norm": 5.6266109738606644, + "kl": 0.73974609375, + "learning_rate": 1.9539516087697517e-07, + "loss": 0.2143, + "reward": 1.921875, + "reward_std": 0.16881313920021057, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 810 + }, + { + "clip_ratio": 0.0, + "completion_length": 403.12501525878906, + "epoch": 0.811, + "grad_norm": 9.331811683275411, + "kl": 0.64892578125, + "learning_rate": 1.944302444309393e-07, + "loss": 0.2286, + "reward": 1.9635416865348816, + "reward_std": 0.08618465065956116, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 811 + }, + { + "clip_ratio": 0.0, + "completion_length": 565.7291870117188, + "epoch": 0.812, + "grad_norm": 10.839420100422307, + "kl": 2.130859375, + "learning_rate": 1.934696604901642e-07, + "loss": 0.528, + "reward": 1.7552083730697632, + "reward_std": 0.33489036560058594, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 812 + }, + { + "clip_ratio": 0.0, + "completion_length": 376.5625, + "epoch": 0.813, + "grad_norm": 2.7936568025493917, + "kl": 0.225830078125, + "learning_rate": 1.9251342075906179e-07, + "loss": 0.0012, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 813 + }, + { + "clip_ratio": 0.0, + "completion_length": 540.5416870117188, + "epoch": 0.814, + "grad_norm": 25.846117412294443, + "kl": 1.064453125, + "learning_rate": 1.915615368891117e-07, + "loss": -0.0598, + "reward": 1.5104166865348816, + "reward_std": 0.1359912659972906, + "rewards/accuracy_reward": 0.5416666865348816, + "rewards/format_reward": 0.02083333395421505, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 814 + }, + { + "clip_ratio": 0.0, + "completion_length": 388.2708435058594, + "epoch": 0.815, + "grad_norm": 10.179075425735023, + "kl": 0.45458984375, + "learning_rate": 1.9061402047871833e-07, + "loss": 0.242, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 815 + }, + { + "clip_ratio": 0.0, + "completion_length": 415.3958435058594, + "epoch": 0.816, + "grad_norm": 15.796299729756432, + "kl": 0.826171875, + "learning_rate": 1.8967088307307e-07, + "loss": 0.335, + "reward": 1.953125, + "reward_std": 0.16237976029515266, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 816 + }, + { + "clip_ratio": 0.0, + "completion_length": 601.5208435058594, + "epoch": 0.817, + "grad_norm": 10.197635027392812, + "kl": 2.78125, + "learning_rate": 1.887321361639985e-07, + "loss": 0.4657, + "reward": 1.7812500596046448, + "reward_std": 0.30305100977420807, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 817 + }, + { + "clip_ratio": 0.0, + "completion_length": 572.6041717529297, + "epoch": 0.818, + "grad_norm": 15.035395691495074, + "kl": 3.78125, + "learning_rate": 1.8779779118983867e-07, + "loss": 0.642, + "reward": 1.5781250596046448, + "reward_std": 0.33661970496177673, + "rewards/accuracy_reward": 0.6666666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 818 + }, + { + "clip_ratio": 0.0, + "completion_length": 548.5000305175781, + "epoch": 0.819, + "grad_norm": 9.166682317132233, + "kl": 2.8984375, + "learning_rate": 1.8686785953528922e-07, + "loss": 0.4114, + "reward": 1.7239583730697632, + "reward_std": 0.4167061299085617, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 819 + }, + { + "clip_ratio": 0.0, + "completion_length": 414.04168701171875, + "epoch": 0.82, + "grad_norm": 34.78801565486368, + "kl": 1.262939453125, + "learning_rate": 1.8594235253127372e-07, + "loss": 0.4179, + "reward": 1.984375, + "reward_std": 0.03884884715080261, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 820 + }, + { + "clip_ratio": 0.0, + "completion_length": 551.6458587646484, + "epoch": 0.821, + "grad_norm": 10.01037115756937, + "kl": 2.025390625, + "learning_rate": 1.850212814548031e-07, + "loss": 0.2498, + "reward": 1.765625, + "reward_std": 0.15568077564239502, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 821 + }, + { + "clip_ratio": 0.0, + "completion_length": 855.6041870117188, + "epoch": 0.822, + "grad_norm": 27.294904036367736, + "kl": 6.21875, + "learning_rate": 1.8410465752883758e-07, + "loss": 0.6579, + "reward": 1.2708333730697632, + "reward_std": 0.43975476920604706, + "rewards/accuracy_reward": 0.5000000149011612, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7708333432674408, + "step": 822 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.2708435058594, + "epoch": 0.823, + "grad_norm": 12.709642111430005, + "kl": 1.65087890625, + "learning_rate": 1.8319249192215055e-07, + "loss": 0.4573, + "reward": 1.8802083730697632, + "reward_std": 0.32728417217731476, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 823 + }, + { + "clip_ratio": 0.0, + "completion_length": 436.2708435058594, + "epoch": 0.824, + "grad_norm": 12.250211655601001, + "kl": 0.900390625, + "learning_rate": 1.822847957491922e-07, + "loss": 0.325, + "reward": 1.9166666865348816, + "reward_std": 0.21813733875751495, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 824 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.0833435058594, + "epoch": 0.825, + "grad_norm": 12.43364332178179, + "kl": 1.83984375, + "learning_rate": 1.8138158006995363e-07, + "loss": 0.4023, + "reward": 1.8854166865348816, + "reward_std": 0.20827918872237206, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 825 + }, + { + "clip_ratio": 0.0, + "completion_length": 491.39585876464844, + "epoch": 0.826, + "grad_norm": 4.1635399271298486, + "kl": 1.0009765625, + "learning_rate": 1.804828558898332e-07, + "loss": 0.1676, + "reward": 1.96875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 826 + }, + { + "clip_ratio": 0.0, + "completion_length": 476.8333435058594, + "epoch": 0.827, + "grad_norm": 29.78711978021362, + "kl": 1.69140625, + "learning_rate": 1.7958863415950112e-07, + "loss": 0.6112, + "reward": 1.7187500596046448, + "reward_std": 0.4132007360458374, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 827 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.9583435058594, + "epoch": 0.828, + "grad_norm": 8.71138636681152, + "kl": 0.9208984375, + "learning_rate": 1.7869892577476722e-07, + "loss": 0.1821, + "reward": 1.9687500596046448, + "reward_std": 0.09649687260389328, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 828 + }, + { + "clip_ratio": 0.0, + "completion_length": 561.2083587646484, + "epoch": 0.829, + "grad_norm": 21.782186202689566, + "kl": 3.39453125, + "learning_rate": 1.7781374157644713e-07, + "loss": 0.4503, + "reward": 1.875, + "reward_std": 0.17475633323192596, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 829 + }, + { + "clip_ratio": 0.0, + "completion_length": 379.0208435058594, + "epoch": 0.83, + "grad_norm": 0.5769139807884268, + "kl": 0.1279296875, + "learning_rate": 1.7693309235023127e-07, + "loss": 0.0053, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 830 + }, + { + "clip_ratio": 0.0, + "completion_length": 676.8125152587891, + "epoch": 0.831, + "grad_norm": 24.597699285703715, + "kl": 4.888671875, + "learning_rate": 1.7605698882655233e-07, + "loss": 0.5869, + "reward": 1.7656250596046448, + "reward_std": 0.25207727029919624, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 831 + }, + { + "clip_ratio": 0.0, + "completion_length": 439.5625, + "epoch": 0.832, + "grad_norm": 9.356841804065343, + "kl": 1.77978515625, + "learning_rate": 1.7518544168045524e-07, + "loss": 0.3146, + "reward": 1.828125, + "reward_std": 0.1809951364994049, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 832 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.1041717529297, + "epoch": 0.833, + "grad_norm": 9.53708173653762, + "kl": 1.98388671875, + "learning_rate": 1.743184615314671e-07, + "loss": 0.2442, + "reward": 1.8020833730697632, + "reward_std": 0.14310213923454285, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 833 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.25, + "epoch": 0.834, + "grad_norm": 16.1911003931491, + "kl": 2.2109375, + "learning_rate": 1.7345605894346726e-07, + "loss": 0.5803, + "reward": 1.8437500596046448, + "reward_std": 0.3226669132709503, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 834 + }, + { + "clip_ratio": 0.0, + "completion_length": 442.68751525878906, + "epoch": 0.835, + "grad_norm": 12.473848302644043, + "kl": 1.08984375, + "learning_rate": 1.7259824442455923e-07, + "loss": 0.197, + "reward": 1.8958333730697632, + "reward_std": 0.22079525142908096, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 835 + }, + { + "clip_ratio": 0.0, + "completion_length": 334.06251525878906, + "epoch": 0.836, + "grad_norm": 0.8040340947522091, + "kl": 0.14208984375, + "learning_rate": 1.7174502842694212e-07, + "loss": 0.0057, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 836 + }, + { + "clip_ratio": 0.0, + "completion_length": 660.6875, + "epoch": 0.837, + "grad_norm": 17.6393130534593, + "kl": 3.7109375, + "learning_rate": 1.7089642134678364e-07, + "loss": 0.7102, + "reward": 1.6822917461395264, + "reward_std": 0.3129502236843109, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 837 + }, + { + "clip_ratio": 0.0, + "completion_length": 667.5000305175781, + "epoch": 0.838, + "grad_norm": 40.69298460282286, + "kl": 4.6171875, + "learning_rate": 1.7005243352409333e-07, + "loss": 0.5095, + "reward": 1.5520833730697632, + "reward_std": 0.3984503895044327, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 838 + }, + { + "clip_ratio": 0.0, + "completion_length": 732.2083435058594, + "epoch": 0.839, + "grad_norm": 13.465857114273433, + "kl": 5.0, + "learning_rate": 1.6921307524259625e-07, + "loss": 0.7938, + "reward": 1.453125, + "reward_std": 0.4194927215576172, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8697916865348816, + "step": 839 + }, + { + "clip_ratio": 0.0, + "completion_length": 502.5833435058594, + "epoch": 0.84, + "grad_norm": 13.338432547369223, + "kl": 1.6171875, + "learning_rate": 1.6837835672960831e-07, + "loss": 0.1181, + "reward": 1.75, + "reward_std": 0.23834703117609024, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 840 + }, + { + "clip_ratio": 0.0, + "completion_length": 604.3333435058594, + "epoch": 0.841, + "grad_norm": 21.809910975717514, + "kl": 3.04296875, + "learning_rate": 1.6754828815591131e-07, + "loss": 0.7128, + "reward": 1.8072917461395264, + "reward_std": 0.24911796301603317, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8906250298023224, + "step": 841 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.8958435058594, + "epoch": 0.842, + "grad_norm": 9.375291072934692, + "kl": 0.9140625, + "learning_rate": 1.6672287963562852e-07, + "loss": 0.195, + "reward": 1.8750000596046448, + "reward_std": 0.29994751513004303, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 842 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.4583435058594, + "epoch": 0.843, + "grad_norm": 13.044639569722202, + "kl": 0.70703125, + "learning_rate": 1.659021412261026e-07, + "loss": 0.2289, + "reward": 1.7135416865348816, + "reward_std": 0.09573988988995552, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9843750298023224, + "step": 843 + }, + { + "clip_ratio": 0.0, + "completion_length": 581.125, + "epoch": 0.844, + "grad_norm": 17.01242607550207, + "kl": 2.09765625, + "learning_rate": 1.6508608292777203e-07, + "loss": 0.5915, + "reward": 1.7395833730697632, + "reward_std": 0.27039821445941925, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 844 + }, + { + "clip_ratio": 0.0, + "completion_length": 446.2916717529297, + "epoch": 0.845, + "grad_norm": 25.42754929810113, + "kl": 0.884765625, + "learning_rate": 1.6427471468404952e-07, + "loss": 0.4499, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333730697632, + "step": 845 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.0, + "epoch": 0.846, + "grad_norm": 12.076830805883889, + "kl": 0.53271484375, + "learning_rate": 1.6346804638120098e-07, + "loss": 0.1946, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 846 + }, + { + "clip_ratio": 0.0, + "completion_length": 426.2708435058594, + "epoch": 0.847, + "grad_norm": 7.128662467421689, + "kl": 1.175537109375, + "learning_rate": 1.6266608784822542e-07, + "loss": 0.2181, + "reward": 1.90625, + "reward_std": 0.18331214785575867, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 847 + }, + { + "clip_ratio": 0.0, + "completion_length": 453.7916717529297, + "epoch": 0.848, + "grad_norm": 8.847459783648889, + "kl": 0.548828125, + "learning_rate": 1.6186884885673413e-07, + "loss": 0.156, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 848 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.22918701171875, + "epoch": 0.849, + "grad_norm": 15.622644052186043, + "kl": 0.9326171875, + "learning_rate": 1.610763391208329e-07, + "loss": 0.3653, + "reward": 1.921875, + "reward_std": 0.1829466074705124, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 849 + }, + { + "clip_ratio": 0.0, + "completion_length": 574.4166717529297, + "epoch": 0.85, + "grad_norm": 27.82210524236325, + "kl": 3.03125, + "learning_rate": 1.6028856829700258e-07, + "loss": 0.5063, + "reward": 1.828125, + "reward_std": 0.36519497632980347, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 850 + }, + { + "clip_ratio": 0.0, + "completion_length": 439.6666717529297, + "epoch": 0.851, + "grad_norm": 17.737456242269808, + "kl": 0.8125, + "learning_rate": 1.5950554598398228e-07, + "loss": 0.224, + "reward": 1.9270833730697632, + "reward_std": 0.20556553453207016, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 851 + }, + { + "clip_ratio": 0.0, + "completion_length": 646.9375305175781, + "epoch": 0.852, + "grad_norm": 54.5471325400904, + "kl": 5.09375, + "learning_rate": 1.5872728172265146e-07, + "loss": 0.7369, + "reward": 1.5520833730697632, + "reward_std": 0.4047369360923767, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 852 + }, + { + "clip_ratio": 0.0, + "completion_length": 540.5625152587891, + "epoch": 0.853, + "grad_norm": 30.106508651874115, + "kl": 2.77734375, + "learning_rate": 1.579537849959148e-07, + "loss": 0.1888, + "reward": 1.7708333730697632, + "reward_std": 0.15758132189512253, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 853 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.4166870117188, + "epoch": 0.854, + "grad_norm": 11.040360695362542, + "kl": 2.404296875, + "learning_rate": 1.5718506522858572e-07, + "loss": 0.4808, + "reward": 1.75, + "reward_std": 0.40676697343587875, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 854 + }, + { + "clip_ratio": 0.0, + "completion_length": 454.43751525878906, + "epoch": 0.855, + "grad_norm": 20.954097171546355, + "kl": 2.66796875, + "learning_rate": 1.5642113178727193e-07, + "loss": 0.319, + "reward": 1.828125, + "reward_std": 0.14868026971817017, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 855 + }, + { + "clip_ratio": 0.0, + "completion_length": 417.91668701171875, + "epoch": 0.856, + "grad_norm": 15.900808782689902, + "kl": 2.02197265625, + "learning_rate": 1.5566199398026147e-07, + "loss": 0.2125, + "reward": 1.8958333730697632, + "reward_std": 0.17856809496879578, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 856 + }, + { + "clip_ratio": 0.0, + "completion_length": 567.375, + "epoch": 0.857, + "grad_norm": 46.760570722727955, + "kl": 3.9375, + "learning_rate": 1.5490766105740876e-07, + "loss": 0.3631, + "reward": 1.6302083730697632, + "reward_std": 0.23975825309753418, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9010416865348816, + "step": 857 + }, + { + "clip_ratio": 0.0, + "completion_length": 543.1041870117188, + "epoch": 0.858, + "grad_norm": 76.25935168085778, + "kl": 4.6728515625, + "learning_rate": 1.5415814221002265e-07, + "loss": 0.4013, + "reward": 1.7291666865348816, + "reward_std": 0.3407784253358841, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 858 + }, + { + "clip_ratio": 0.0, + "completion_length": 517.1875152587891, + "epoch": 0.859, + "grad_norm": 12.873109355236965, + "kl": 2.5546875, + "learning_rate": 1.5341344657075354e-07, + "loss": 0.5041, + "reward": 1.7916667461395264, + "reward_std": 0.46449391543865204, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 859 + }, + { + "clip_ratio": 0.0, + "completion_length": 511.27085876464844, + "epoch": 0.86, + "grad_norm": 13.180712526003964, + "kl": 2.2265625, + "learning_rate": 1.5267358321348285e-07, + "loss": 0.4, + "reward": 1.8958333730697632, + "reward_std": 0.2564418688416481, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375000298023224, + "step": 860 + }, + { + "clip_ratio": 0.0, + "completion_length": 437.6875, + "epoch": 0.861, + "grad_norm": 19.345289784315373, + "kl": 1.71875, + "learning_rate": 1.5193856115321224e-07, + "loss": 0.2868, + "reward": 1.9322916865348816, + "reward_std": 0.19443782418966293, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 861 + }, + { + "clip_ratio": 0.0, + "completion_length": 521.4791717529297, + "epoch": 0.862, + "grad_norm": 10.797697948618687, + "kl": 2.3779296875, + "learning_rate": 1.5120838934595337e-07, + "loss": 0.1819, + "reward": 1.890625, + "reward_std": 0.10701595991849899, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 862 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.2083435058594, + "epoch": 0.863, + "grad_norm": 11.74105775433942, + "kl": 2.5283203125, + "learning_rate": 1.5048307668861947e-07, + "loss": 0.4643, + "reward": 1.8854166865348816, + "reward_std": 0.24758216738700867, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 863 + }, + { + "clip_ratio": 0.0, + "completion_length": 539.1875, + "epoch": 0.864, + "grad_norm": 23.36833337000619, + "kl": 2.751953125, + "learning_rate": 1.4976263201891613e-07, + "loss": 0.2596, + "reward": 1.5833333730697632, + "reward_std": 0.2119756042957306, + "rewards/accuracy_reward": 0.6666666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 864 + }, + { + "clip_ratio": 0.0, + "completion_length": 696.9791870117188, + "epoch": 0.865, + "grad_norm": 22.44324840268027, + "kl": 4.8203125, + "learning_rate": 1.4904706411523448e-07, + "loss": 0.7422, + "reward": 1.6822916865348816, + "reward_std": 0.47188854217529297, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 865 + }, + { + "clip_ratio": 0.0, + "completion_length": 366.12501525878906, + "epoch": 0.866, + "grad_norm": 2.2295244287514624, + "kl": 0.27734375, + "learning_rate": 1.483363816965435e-07, + "loss": 0.0119, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 866 + }, + { + "clip_ratio": 0.0, + "completion_length": 449.0833435058594, + "epoch": 0.867, + "grad_norm": 10.933949291056058, + "kl": 1.212890625, + "learning_rate": 1.4763059342228434e-07, + "loss": 0.2937, + "reward": 1.9427083730697632, + "reward_std": 0.15781326591968536, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 867 + }, + { + "clip_ratio": 0.0, + "completion_length": 445.60418701171875, + "epoch": 0.868, + "grad_norm": 16.89676372758348, + "kl": 1.230224609375, + "learning_rate": 1.469297078922642e-07, + "loss": 0.3921, + "reward": 1.859375, + "reward_std": 0.27307260036468506, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 868 + }, + { + "clip_ratio": 0.0, + "completion_length": 420.37501525878906, + "epoch": 0.869, + "grad_norm": 9.979243305418649, + "kl": 1.10205078125, + "learning_rate": 1.4623373364655223e-07, + "loss": 0.3988, + "reward": 1.9479166865348816, + "reward_std": 0.12452562153339386, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 869 + }, + { + "clip_ratio": 0.0, + "completion_length": 426.1666717529297, + "epoch": 0.87, + "grad_norm": 15.105806389434207, + "kl": 0.84375, + "learning_rate": 1.4554267916537495e-07, + "loss": 0.0444, + "reward": 1.5208333730697632, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.5416666679084301, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 870 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.35418701171875, + "epoch": 0.871, + "grad_norm": 3.4338103601291023, + "kl": 0.515625, + "learning_rate": 1.448565528690129e-07, + "loss": 0.0713, + "reward": 1.9739583730697632, + "reward_std": 0.07278125733137131, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 871 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.66668701171875, + "epoch": 0.872, + "grad_norm": 9.026083041526881, + "kl": 1.36328125, + "learning_rate": 1.4417536311769885e-07, + "loss": 0.1722, + "reward": 1.7239583730697632, + "reward_std": 0.1843368038535118, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 872 + }, + { + "clip_ratio": 0.0, + "completion_length": 413.18751525878906, + "epoch": 0.873, + "grad_norm": 4.833114467964448, + "kl": 0.734375, + "learning_rate": 1.4349911821151462e-07, + "loss": 0.1148, + "reward": 1.7395833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 873 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.89585876464844, + "epoch": 0.874, + "grad_norm": 5.119723718848547, + "kl": 0.724609375, + "learning_rate": 1.4282782639029128e-07, + "loss": 0.1015, + "reward": 1.9010416865348816, + "reward_std": 0.13870561122894287, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 874 + }, + { + "clip_ratio": 0.0, + "completion_length": 588.5833435058594, + "epoch": 0.875, + "grad_norm": 24.091411402326845, + "kl": 2.6171875, + "learning_rate": 1.4216149583350755e-07, + "loss": 0.6931, + "reward": 1.6979166865348816, + "reward_std": 0.37922197580337524, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 875 + }, + { + "clip_ratio": 0.0, + "completion_length": 583.4583587646484, + "epoch": 0.876, + "grad_norm": 9.87322300886677, + "kl": 2.7734375, + "learning_rate": 1.4150013466019114e-07, + "loss": 0.4683, + "reward": 1.5989583730697632, + "reward_std": 0.3443516790866852, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 876 + }, + { + "clip_ratio": 0.0, + "completion_length": 363.0833435058594, + "epoch": 0.877, + "grad_norm": 5.871176631143807, + "kl": 0.1904296875, + "learning_rate": 1.4084375092881917e-07, + "loss": 0.0314, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 877 + }, + { + "clip_ratio": 0.0, + "completion_length": 629.0625, + "epoch": 0.878, + "grad_norm": 15.569073110301932, + "kl": 3.1484375, + "learning_rate": 1.4019235263722034e-07, + "loss": 0.5262, + "reward": 1.8645833730697632, + "reward_std": 0.23833908885717392, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 878 + }, + { + "clip_ratio": 0.0, + "completion_length": 584.6458587646484, + "epoch": 0.879, + "grad_norm": 23.095914353973114, + "kl": 2.900390625, + "learning_rate": 1.395459477224772e-07, + "loss": 0.7885, + "reward": 1.7968750596046448, + "reward_std": 0.34015803039073944, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8802083432674408, + "step": 879 + }, + { + "clip_ratio": 0.0, + "completion_length": 384.3958435058594, + "epoch": 0.88, + "grad_norm": 6.718359472177041, + "kl": 0.3994140625, + "learning_rate": 1.3890454406082956e-07, + "loss": 0.0871, + "reward": 1.9739583730697632, + "reward_std": 0.09021097794175148, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 880 + }, + { + "clip_ratio": 0.0, + "completion_length": 397.3333435058594, + "epoch": 0.881, + "grad_norm": 14.172598422527075, + "kl": 0.7939453125, + "learning_rate": 1.3826814946757888e-07, + "loss": 0.2658, + "reward": 1.9583333730697632, + "reward_std": 0.10202578455209732, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 881 + }, + { + "clip_ratio": 0.0, + "completion_length": 431.9375, + "epoch": 0.882, + "grad_norm": 4.2235129287881366, + "kl": 0.5380859375, + "learning_rate": 1.3763677169699217e-07, + "loss": 0.0252, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 882 + }, + { + "clip_ratio": 0.0, + "completion_length": 384.5416717529297, + "epoch": 0.883, + "grad_norm": 4.306578231326638, + "kl": 0.67236328125, + "learning_rate": 1.370104184422085e-07, + "loss": 0.0895, + "reward": 1.9635416865348816, + "reward_std": 0.12629537284374237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 883 + }, + { + "clip_ratio": 0.0, + "completion_length": 499.1875305175781, + "epoch": 0.884, + "grad_norm": 19.75935460962796, + "kl": 1.8193359375, + "learning_rate": 1.3638909733514452e-07, + "loss": 0.1092, + "reward": 1.7916666865348816, + "reward_std": 0.08141736686229706, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 884 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.7916717529297, + "epoch": 0.885, + "grad_norm": 16.028117617035686, + "kl": 2.009765625, + "learning_rate": 1.3577281594640182e-07, + "loss": 0.191, + "reward": 1.8489583730697632, + "reward_std": 0.2143372893333435, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 885 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.875, + "epoch": 0.886, + "grad_norm": 19.34957246386415, + "kl": 1.66015625, + "learning_rate": 1.351615817851748e-07, + "loss": 0.5261, + "reward": 1.9166667461395264, + "reward_std": 0.2552907392382622, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333730697632, + "step": 886 + }, + { + "clip_ratio": 0.0, + "completion_length": 533.4583435058594, + "epoch": 0.887, + "grad_norm": 28.791270831640194, + "kl": 3.03515625, + "learning_rate": 1.345554022991586e-07, + "loss": 0.5317, + "reward": 1.8020833730697632, + "reward_std": 0.24154765531420708, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 887 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.5625152587891, + "epoch": 0.888, + "grad_norm": 36.054010239539075, + "kl": 3.349365234375, + "learning_rate": 1.3395428487445914e-07, + "loss": 0.2319, + "reward": 1.84375, + "reward_std": 0.1291911005973816, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 888 + }, + { + "clip_ratio": 0.0, + "completion_length": 443.35418701171875, + "epoch": 0.889, + "grad_norm": 24.928423460233837, + "kl": 1.230712890625, + "learning_rate": 1.3335823683550237e-07, + "loss": 0.3925, + "reward": 1.9166666865348816, + "reward_std": 0.15386436879634857, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 889 + }, + { + "clip_ratio": 0.0, + "completion_length": 437.5833435058594, + "epoch": 0.89, + "grad_norm": 6.067298175387683, + "kl": 0.9296875, + "learning_rate": 1.3276726544494571e-07, + "loss": 0.2063, + "reward": 1.9583333730697632, + "reward_std": 0.09731236100196838, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 890 + }, + { + "clip_ratio": 0.0, + "completion_length": 545.9375, + "epoch": 0.891, + "grad_norm": 18.626142163111073, + "kl": 3.71875, + "learning_rate": 1.3218137790358892e-07, + "loss": 0.6902, + "reward": 1.8645833730697632, + "reward_std": 0.284028522670269, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 891 + }, + { + "clip_ratio": 0.0, + "completion_length": 455.10418701171875, + "epoch": 0.892, + "grad_norm": 16.317481328285602, + "kl": 1.50927734375, + "learning_rate": 1.316005813502869e-07, + "loss": 0.472, + "reward": 1.90625, + "reward_std": 0.265943706035614, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 892 + }, + { + "clip_ratio": 0.0, + "completion_length": 667.0833435058594, + "epoch": 0.893, + "grad_norm": 14.808109280731902, + "kl": 4.3984375, + "learning_rate": 1.3102488286186234e-07, + "loss": 0.6169, + "reward": 1.7083333730697632, + "reward_std": 0.38184280693531036, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333730697632, + "step": 893 + }, + { + "clip_ratio": 0.0, + "completion_length": 366.75001525878906, + "epoch": 0.894, + "grad_norm": 6.56350379557414, + "kl": 0.40625, + "learning_rate": 1.3045428945301953e-07, + "loss": 0.0803, + "reward": 1.9791666865348816, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 894 + }, + { + "clip_ratio": 0.0, + "completion_length": 432.1875, + "epoch": 0.895, + "grad_norm": 15.471222474630176, + "kl": 1.77685546875, + "learning_rate": 1.2988880807625927e-07, + "loss": 0.1978, + "reward": 1.8802083730697632, + "reward_std": 0.1175578162074089, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9427083432674408, + "step": 895 + }, + { + "clip_ratio": 0.0, + "completion_length": 356.9791717529297, + "epoch": 0.896, + "grad_norm": 1.2767526382040946, + "kl": 0.173828125, + "learning_rate": 1.2932844562179352e-07, + "loss": 0.0077, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 896 + }, + { + "clip_ratio": 0.0, + "completion_length": 471.00001525878906, + "epoch": 0.897, + "grad_norm": 14.911287345066016, + "kl": 1.835205078125, + "learning_rate": 1.2877320891746201e-07, + "loss": 0.1014, + "reward": 1.8541666865348816, + "reward_std": 0.1259434074163437, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9375, + "step": 897 + }, + { + "clip_ratio": 0.0, + "completion_length": 416.4583435058594, + "epoch": 0.898, + "grad_norm": 12.243165704828495, + "kl": 0.94873046875, + "learning_rate": 1.2822310472864885e-07, + "loss": 0.2108, + "reward": 1.9635416865348816, + "reward_std": 0.10811641067266464, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 898 + }, + { + "clip_ratio": 0.0, + "completion_length": 595.6458740234375, + "epoch": 0.899, + "grad_norm": 9.96728420274615, + "kl": 2.96875, + "learning_rate": 1.2767813975819983e-07, + "loss": 0.491, + "reward": 1.8125, + "reward_std": 0.26586486026644707, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 899 + }, + { + "clip_ratio": 0.0, + "completion_length": 767.1041870117188, + "epoch": 0.9, + "grad_norm": 35.06484302697034, + "kl": 4.921875, + "learning_rate": 1.2713832064634125e-07, + "loss": 0.4687, + "reward": 1.6614583730697632, + "reward_std": 0.24853000044822693, + "rewards/accuracy_reward": 0.8125000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583730697632, + "step": 900 + }, + { + "clip_ratio": 0.0, + "completion_length": 567.2708435058594, + "epoch": 0.901, + "grad_norm": 11.291063117476682, + "kl": 2.54296875, + "learning_rate": 1.2660365397059856e-07, + "loss": 0.4214, + "reward": 1.8437500596046448, + "reward_std": 0.17957251518964767, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 901 + }, + { + "clip_ratio": 0.0, + "completion_length": 535.2291870117188, + "epoch": 0.902, + "grad_norm": 7.6811915825242645, + "kl": 2.24609375, + "learning_rate": 1.260741462457165e-07, + "loss": 0.2827, + "reward": 1.7083333730697632, + "reward_std": 0.42435412108898163, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 902 + }, + { + "clip_ratio": 0.0, + "completion_length": 372.2916717529297, + "epoch": 0.903, + "grad_norm": 0.985333233721206, + "kl": 0.173095703125, + "learning_rate": 1.2554980392357956e-07, + "loss": 0.0078, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 903 + }, + { + "clip_ratio": 0.0, + "completion_length": 554.7291717529297, + "epoch": 0.904, + "grad_norm": 11.317529960741332, + "kl": 1.95947265625, + "learning_rate": 1.2503063339313356e-07, + "loss": 0.3405, + "reward": 1.890625, + "reward_std": 0.215882807970047, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 904 + }, + { + "clip_ratio": 0.0, + "completion_length": 364.375, + "epoch": 0.905, + "grad_norm": 1.4196218571907042, + "kl": 0.243408203125, + "learning_rate": 1.2451664098030743e-07, + "loss": 0.0108, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 905 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.5416870117188, + "epoch": 0.906, + "grad_norm": 26.306931215703628, + "kl": 1.84375, + "learning_rate": 1.2400783294793668e-07, + "loss": 0.5532, + "reward": 1.7187500596046448, + "reward_std": 0.25687965750694275, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9062500298023224, + "step": 906 + }, + { + "clip_ratio": 0.0, + "completion_length": 463.60418701171875, + "epoch": 0.907, + "grad_norm": 7.513545666634734, + "kl": 0.9140625, + "learning_rate": 1.235042154956865e-07, + "loss": 0.1246, + "reward": 1.7291666865348816, + "reward_std": 0.18408085405826569, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 907 + }, + { + "clip_ratio": 0.0, + "completion_length": 682.25, + "epoch": 0.908, + "grad_norm": 9.026537672372555, + "kl": 2.296875, + "learning_rate": 1.2300579475997657e-07, + "loss": 0.2919, + "reward": 1.765625, + "reward_std": 0.23241043090820312, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8906250298023224, + "step": 908 + }, + { + "clip_ratio": 0.0, + "completion_length": 385.875, + "epoch": 0.909, + "grad_norm": 0.6214679345120036, + "kl": 0.123779296875, + "learning_rate": 1.2251257681390645e-07, + "loss": 0.0054, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 909 + }, + { + "clip_ratio": 0.0, + "completion_length": 503.43751525878906, + "epoch": 0.91, + "grad_norm": 8.389301532922296, + "kl": 0.8125, + "learning_rate": 1.220245676671809e-07, + "loss": 0.2653, + "reward": 1.9114583730697632, + "reward_std": 0.16091519594192505, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 910 + }, + { + "clip_ratio": 0.0, + "completion_length": 454.93751525878906, + "epoch": 0.911, + "grad_norm": 21.36502879988365, + "kl": 0.943359375, + "learning_rate": 1.2154177326603763e-07, + "loss": 0.3842, + "reward": 1.9270833730697632, + "reward_std": 0.19669441878795624, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 911 + }, + { + "clip_ratio": 0.0, + "completion_length": 405.35418701171875, + "epoch": 0.912, + "grad_norm": 8.427520686620069, + "kl": 0.375, + "learning_rate": 1.2106419949317388e-07, + "loss": 0.0913, + "reward": 1.9322917461395264, + "reward_std": 0.18752333521842957, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 912 + }, + { + "clip_ratio": 0.0, + "completion_length": 507.16668701171875, + "epoch": 0.913, + "grad_norm": 10.704434781606814, + "kl": 1.428466796875, + "learning_rate": 1.2059185216767543e-07, + "loss": 0.1584, + "reward": 1.9322916865348816, + "reward_std": 0.09406512975692749, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 913 + }, + { + "clip_ratio": 0.0, + "completion_length": 725.9166870117188, + "epoch": 0.914, + "grad_norm": 18.241150444373933, + "kl": 3.9375, + "learning_rate": 1.2012473704494537e-07, + "loss": 0.8696, + "reward": 1.5520833730697632, + "reward_std": 0.5469892621040344, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833730697632, + "step": 914 + }, + { + "clip_ratio": 0.0, + "completion_length": 461.6250305175781, + "epoch": 0.915, + "grad_norm": 10.87611972257946, + "kl": 1.36328125, + "learning_rate": 1.1966285981663407e-07, + "loss": 0.2484, + "reward": 1.8645833730697632, + "reward_std": 0.21650635078549385, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 915 + }, + { + "clip_ratio": 0.0, + "completion_length": 484.93751525878906, + "epoch": 0.916, + "grad_norm": 6.965604737067303, + "kl": 1.25439453125, + "learning_rate": 1.1920622611056974e-07, + "loss": 0.2105, + "reward": 1.8541666865348816, + "reward_std": 0.19279150664806366, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 916 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.8333435058594, + "epoch": 0.917, + "grad_norm": 7.775998883675492, + "kl": 0.721923828125, + "learning_rate": 1.1875484149069004e-07, + "loss": 0.2078, + "reward": 1.9270833730697632, + "reward_std": 0.17236930131912231, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 917 + }, + { + "clip_ratio": 0.0, + "completion_length": 480.41668701171875, + "epoch": 0.918, + "grad_norm": 10.931268127538916, + "kl": 1.2861328125, + "learning_rate": 1.1830871145697412e-07, + "loss": 0.3782, + "reward": 1.8750000596046448, + "reward_std": 0.27763204276561737, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333730697632, + "step": 918 + }, + { + "clip_ratio": 0.0, + "completion_length": 416.29168701171875, + "epoch": 0.919, + "grad_norm": 13.568505638473718, + "kl": 0.58251953125, + "learning_rate": 1.1786784144537563e-07, + "loss": 0.2691, + "reward": 1.9375, + "reward_std": 0.15539538860321045, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 919 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.3333435058594, + "epoch": 0.92, + "grad_norm": 10.840614129376137, + "kl": 0.622314453125, + "learning_rate": 1.1743223682775649e-07, + "loss": 0.1998, + "reward": 1.9166666865348816, + "reward_std": 0.21242958307266235, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 920 + }, + { + "clip_ratio": 0.0, + "completion_length": 421.2708435058594, + "epoch": 0.921, + "grad_norm": 11.087410692109273, + "kl": 0.779541015625, + "learning_rate": 1.1700190291182158e-07, + "loss": 0.2074, + "reward": 1.9479166865348816, + "reward_std": 0.11254207789897919, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 921 + }, + { + "clip_ratio": 0.0, + "completion_length": 647.6458435058594, + "epoch": 0.922, + "grad_norm": 46.246526593355426, + "kl": 4.875, + "learning_rate": 1.1657684494105386e-07, + "loss": 0.4458, + "reward": 1.8125, + "reward_std": 0.28306229412555695, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 922 + }, + { + "clip_ratio": 0.0, + "completion_length": 500.72918701171875, + "epoch": 0.923, + "grad_norm": 33.71714763477938, + "kl": 4.23828125, + "learning_rate": 1.1615706809465051e-07, + "loss": 0.8338, + "reward": 1.8229166865348816, + "reward_std": 0.44588886201381683, + "rewards/accuracy_reward": 0.8958333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 923 + }, + { + "clip_ratio": 0.0, + "completion_length": 444.4791717529297, + "epoch": 0.924, + "grad_norm": 35.364839682175145, + "kl": 2.080078125, + "learning_rate": 1.1574257748745986e-07, + "loss": 0.335, + "reward": 1.9427083730697632, + "reward_std": 0.13446637988090515, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 924 + }, + { + "clip_ratio": 0.0, + "completion_length": 433.91668701171875, + "epoch": 0.925, + "grad_norm": 12.17609337216219, + "kl": 1.39599609375, + "learning_rate": 1.1533337816991931e-07, + "loss": 0.3009, + "reward": 1.96875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.96875, + "step": 925 + }, + { + "clip_ratio": 0.0, + "completion_length": 492.1041717529297, + "epoch": 0.926, + "grad_norm": 44.83841268808384, + "kl": 2.869140625, + "learning_rate": 1.1492947512799328e-07, + "loss": 0.1637, + "reward": 1.7864583730697632, + "reward_std": 0.0819607600569725, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 926 + }, + { + "clip_ratio": 0.0, + "completion_length": 523.0208435058594, + "epoch": 0.927, + "grad_norm": 57.230544256823784, + "kl": 4.568359375, + "learning_rate": 1.1453087328311299e-07, + "loss": 0.5799, + "reward": 1.8177083730697632, + "reward_std": 0.34157679229974747, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9218750298023224, + "step": 927 + }, + { + "clip_ratio": 0.0, + "completion_length": 452.4166717529297, + "epoch": 0.928, + "grad_norm": 9.970684227802462, + "kl": 1.05078125, + "learning_rate": 1.1413757749211602e-07, + "loss": 0.1622, + "reward": 1.9635416865348816, + "reward_std": 0.08618465065956116, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 928 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.2291717529297, + "epoch": 0.929, + "grad_norm": 53.6430965224698, + "kl": 2.1640625, + "learning_rate": 1.137495925471875e-07, + "loss": 0.3304, + "reward": 1.7187500596046448, + "reward_std": 0.11702756583690643, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 929 + }, + { + "clip_ratio": 0.0, + "completion_length": 695.8750305175781, + "epoch": 0.93, + "grad_norm": 78.68164787219935, + "kl": 7.421875, + "learning_rate": 1.1336692317580158e-07, + "loss": 0.9211, + "reward": 1.6927083730697632, + "reward_std": 0.4273684620857239, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 930 + }, + { + "clip_ratio": 0.0, + "completion_length": 550.5416717529297, + "epoch": 0.931, + "grad_norm": 21.661198522112688, + "kl": 2.9765625, + "learning_rate": 1.1298957404066381e-07, + "loss": 0.4426, + "reward": 1.7864583730697632, + "reward_std": 0.1418427713215351, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 931 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.0208435058594, + "epoch": 0.932, + "grad_norm": 12.007893366838966, + "kl": 1.79736328125, + "learning_rate": 1.1261754973965422e-07, + "loss": 0.1912, + "reward": 1.8854166865348816, + "reward_std": 0.1823795735836029, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 932 + }, + { + "clip_ratio": 0.0, + "completion_length": 436.16668701171875, + "epoch": 0.933, + "grad_norm": 10.535585600961307, + "kl": 1.52734375, + "learning_rate": 1.1225085480577158e-07, + "loss": 0.3373, + "reward": 1.8281250596046448, + "reward_std": 0.3007126897573471, + "rewards/accuracy_reward": 0.8750000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 933 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.3541717529297, + "epoch": 0.934, + "grad_norm": 24.110368802837204, + "kl": 1.5546875, + "learning_rate": 1.1188949370707787e-07, + "loss": 0.5719, + "reward": 1.8906250596046448, + "reward_std": 0.2716143727302551, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 934 + }, + { + "clip_ratio": 0.0, + "completion_length": 451.66668701171875, + "epoch": 0.935, + "grad_norm": 16.317707309210853, + "kl": 1.220703125, + "learning_rate": 1.1153347084664419e-07, + "loss": 0.3826, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 935 + }, + { + "clip_ratio": 0.0, + "completion_length": 596.1458435058594, + "epoch": 0.936, + "grad_norm": 16.419356322088824, + "kl": 3.71728515625, + "learning_rate": 1.1118279056249653e-07, + "loss": 0.5207, + "reward": 1.6770833730697632, + "reward_std": 0.2518305666744709, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833730697632, + "step": 936 + }, + { + "clip_ratio": 0.0, + "completion_length": 474.3958435058594, + "epoch": 0.937, + "grad_norm": 24.622125442293328, + "kl": 1.7421875, + "learning_rate": 1.1083745712756364e-07, + "loss": 0.6163, + "reward": 1.8697916865348816, + "reward_std": 0.2979765832424164, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 937 + }, + { + "clip_ratio": 0.0, + "completion_length": 406.6458435058594, + "epoch": 0.938, + "grad_norm": 1.2817567272375725, + "kl": 0.2197265625, + "learning_rate": 1.1049747474962444e-07, + "loss": 0.0102, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 938 + }, + { + "clip_ratio": 0.0, + "completion_length": 662.9375305175781, + "epoch": 0.939, + "grad_norm": 12.975852481008392, + "kl": 3.9609375, + "learning_rate": 1.1016284757125685e-07, + "loss": 0.5205, + "reward": 1.5989583730697632, + "reward_std": 0.3047226071357727, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 939 + }, + { + "clip_ratio": 0.0, + "completion_length": 904.1875305175781, + "epoch": 0.94, + "grad_norm": 39.348365291632554, + "kl": 7.546875, + "learning_rate": 1.0983357966978745e-07, + "loss": 0.7768, + "reward": 1.1614583730697632, + "reward_std": 0.5211588144302368, + "rewards/accuracy_reward": 0.4166666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.7447916865348816, + "step": 940 + }, + { + "clip_ratio": 0.0, + "completion_length": 529.4375305175781, + "epoch": 0.941, + "grad_norm": 7.732976548485906, + "kl": 2.1875, + "learning_rate": 1.0950967505724175e-07, + "loss": 0.2953, + "reward": 1.8958333730697632, + "reward_std": 0.16063910722732544, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 941 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.2291870117188, + "epoch": 0.942, + "grad_norm": 12.823222314178125, + "kl": 2.09375, + "learning_rate": 1.0919113768029517e-07, + "loss": 0.4219, + "reward": 1.6770833730697632, + "reward_std": 0.2615434154868126, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 942 + }, + { + "clip_ratio": 0.0, + "completion_length": 573.7291870117188, + "epoch": 0.943, + "grad_norm": 9.946009871267574, + "kl": 3.2109375, + "learning_rate": 1.0887797142022521e-07, + "loss": 0.6418, + "reward": 1.5000000596046448, + "reward_std": 0.36415572464466095, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 943 + }, + { + "clip_ratio": 0.0, + "completion_length": 546.75, + "epoch": 0.944, + "grad_norm": 17.06247731623334, + "kl": 1.8984375, + "learning_rate": 1.0857018009286381e-07, + "loss": 0.4543, + "reward": 1.6822916865348816, + "reward_std": 0.39797835052013397, + "rewards/accuracy_reward": 0.7500000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 944 + }, + { + "clip_ratio": 0.0, + "completion_length": 587.4583587646484, + "epoch": 0.945, + "grad_norm": 8.467447039160039, + "kl": 2.4736328125, + "learning_rate": 1.0826776744855121e-07, + "loss": 0.2653, + "reward": 1.6770833730697632, + "reward_std": 0.14059869945049286, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.90625, + "step": 945 + }, + { + "clip_ratio": 0.0, + "completion_length": 556.3750305175781, + "epoch": 0.946, + "grad_norm": 15.284145497913336, + "kl": 3.115234375, + "learning_rate": 1.0797073717209013e-07, + "loss": 0.5471, + "reward": 1.6197917461395264, + "reward_std": 0.4588644206523895, + "rewards/accuracy_reward": 0.708333358168602, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 946 + }, + { + "clip_ratio": 0.0, + "completion_length": 386.72918701171875, + "epoch": 0.947, + "grad_norm": 4.944140941065174, + "kl": 0.2900390625, + "learning_rate": 1.0767909288270063e-07, + "loss": 0.0386, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 947 + }, + { + "clip_ratio": 0.0, + "completion_length": 519.1041870117188, + "epoch": 0.948, + "grad_norm": 14.619777897588564, + "kl": 2.0341796875, + "learning_rate": 1.0739283813397639e-07, + "loss": 0.4948, + "reward": 1.8802083730697632, + "reward_std": 0.29817967116832733, + "rewards/accuracy_reward": 0.9583333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.921875, + "step": 948 + }, + { + "clip_ratio": 0.0, + "completion_length": 370.7083435058594, + "epoch": 0.949, + "grad_norm": 2.501173599100684, + "kl": 0.21728515625, + "learning_rate": 1.0711197641384115e-07, + "loss": 0.0165, + "reward": 1.984375, + "reward_std": 0.03884884715080261, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 949 + }, + { + "clip_ratio": 0.0, + "completion_length": 610.1666717529297, + "epoch": 0.95, + "grad_norm": 32.47022971756504, + "kl": 3.61474609375, + "learning_rate": 1.068365111445064e-07, + "loss": 0.1573, + "reward": 1.78125, + "reward_std": 0.13339674472808838, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 950 + }, + { + "clip_ratio": 0.0, + "completion_length": 563.4166870117188, + "epoch": 0.951, + "grad_norm": 8.348756777918963, + "kl": 2.25, + "learning_rate": 1.0656644568242946e-07, + "loss": 0.469, + "reward": 1.9270833730697632, + "reward_std": 0.1290598213672638, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 951 + }, + { + "clip_ratio": 0.0, + "completion_length": 448.43751525878906, + "epoch": 0.952, + "grad_norm": 4.094810780690959, + "kl": 1.01953125, + "learning_rate": 1.063017833182728e-07, + "loss": 0.1034, + "reward": 1.9427083730697632, + "reward_std": 0.11716237664222717, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 952 + }, + { + "clip_ratio": 0.0, + "completion_length": 478.62501525878906, + "epoch": 0.953, + "grad_norm": 13.375595929105703, + "kl": 1.3564453125, + "learning_rate": 1.0604252727686379e-07, + "loss": 0.1365, + "reward": 1.7864583730697632, + "reward_std": 0.08618465065956116, + "rewards/accuracy_reward": 0.8333333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 953 + }, + { + "clip_ratio": 0.0, + "completion_length": 419.25, + "epoch": 0.954, + "grad_norm": 10.841443470170985, + "kl": 0.884765625, + "learning_rate": 1.0578868071715544e-07, + "loss": 0.2009, + "reward": 1.8802083730697632, + "reward_std": 0.19846417382359505, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 954 + }, + { + "clip_ratio": 0.0, + "completion_length": 520.0833587646484, + "epoch": 0.955, + "grad_norm": 47.82750066674377, + "kl": 2.34375, + "learning_rate": 1.0554024673218806e-07, + "loss": 0.3393, + "reward": 1.6197916865348816, + "reward_std": 0.2554234117269516, + "rewards/accuracy_reward": 0.6875000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 955 + }, + { + "clip_ratio": 0.0, + "completion_length": 573.5000305175781, + "epoch": 0.956, + "grad_norm": 9.892517936374505, + "kl": 2.20361328125, + "learning_rate": 1.0529722834905125e-07, + "loss": 0.4362, + "reward": 1.90625, + "reward_std": 0.21248003840446472, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 956 + }, + { + "clip_ratio": 0.0, + "completion_length": 512.75, + "epoch": 0.957, + "grad_norm": 9.240502736552724, + "kl": 2.07421875, + "learning_rate": 1.0505962852884739e-07, + "loss": 0.4272, + "reward": 1.8906250596046448, + "reward_std": 0.19872672855854034, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9322916865348816, + "step": 957 + }, + { + "clip_ratio": 0.0, + "completion_length": 465.3333435058594, + "epoch": 0.958, + "grad_norm": 21.66655032203654, + "kl": 1.623046875, + "learning_rate": 1.0482745016665526e-07, + "loss": 0.4824, + "reward": 1.9270833730697632, + "reward_std": 0.21660535037517548, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 958 + }, + { + "clip_ratio": 0.0, + "completion_length": 497.0625305175781, + "epoch": 0.959, + "grad_norm": 24.417894985010946, + "kl": 1.9296875, + "learning_rate": 1.0460069609149496e-07, + "loss": 0.5459, + "reward": 1.8072917461395264, + "reward_std": 0.31944867968559265, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583432674408, + "step": 959 + }, + { + "clip_ratio": 0.0, + "completion_length": 718.7708435058594, + "epoch": 0.96, + "grad_norm": 8.26912439193507, + "kl": 3.578125, + "learning_rate": 1.0437936906629334e-07, + "loss": 0.6486, + "reward": 1.8385416865348816, + "reward_std": 0.21385890245437622, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8385416865348816, + "step": 960 + }, + { + "clip_ratio": 0.0, + "completion_length": 634.6666870117188, + "epoch": 0.961, + "grad_norm": 9.318887950309726, + "kl": 2.93359375, + "learning_rate": 1.0416347178785039e-07, + "loss": 0.4487, + "reward": 1.6875000596046448, + "reward_std": 0.33738670498132706, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 961 + }, + { + "clip_ratio": 0.0, + "completion_length": 501.35418701171875, + "epoch": 0.962, + "grad_norm": 5.1992794505105415, + "kl": 0.994140625, + "learning_rate": 1.0395300688680625e-07, + "loss": 0.1639, + "reward": 1.9166667461395264, + "reward_std": 0.2452331706881523, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 962 + }, + { + "clip_ratio": 0.0, + "completion_length": 447.87501525878906, + "epoch": 0.963, + "grad_norm": 28.249343137200498, + "kl": 1.3359375, + "learning_rate": 1.0374797692760933e-07, + "loss": 0.5455, + "reward": 1.7864583730697632, + "reward_std": 0.3407367169857025, + "rewards/accuracy_reward": 0.8333333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 963 + }, + { + "clip_ratio": 0.0, + "completion_length": 639.1250305175781, + "epoch": 0.964, + "grad_norm": 13.645803795053776, + "kl": 2.72412109375, + "learning_rate": 1.0354838440848501e-07, + "loss": 0.2751, + "reward": 1.7083333730697632, + "reward_std": 0.19094066321849823, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8958333432674408, + "step": 964 + }, + { + "clip_ratio": 0.0, + "completion_length": 537.125, + "epoch": 0.965, + "grad_norm": 12.061634640743186, + "kl": 1.82421875, + "learning_rate": 1.0335423176140511e-07, + "loss": 0.1804, + "reward": 1.7031250596046448, + "reward_std": 0.34469615668058395, + "rewards/accuracy_reward": 0.7916666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9114583730697632, + "step": 965 + }, + { + "clip_ratio": 0.0, + "completion_length": 590.7291717529297, + "epoch": 0.966, + "grad_norm": 22.711017534648803, + "kl": 2.71484375, + "learning_rate": 1.0316552135205837e-07, + "loss": 0.3779, + "reward": 1.8125, + "reward_std": 0.22406284511089325, + "rewards/accuracy_reward": 0.8958333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 966 + }, + { + "clip_ratio": 0.0, + "completion_length": 387.4791717529297, + "epoch": 0.967, + "grad_norm": 1.949983311660439, + "kl": 0.23681640625, + "learning_rate": 1.029822554798216e-07, + "loss": 0.0101, + "reward": 1.75, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 967 + }, + { + "clip_ratio": 0.0, + "completion_length": 616.0625, + "epoch": 0.968, + "grad_norm": 13.628195437126449, + "kl": 3.875, + "learning_rate": 1.0280443637773163e-07, + "loss": 0.6001, + "reward": 1.8541666865348816, + "reward_std": 0.20776879414916039, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.875, + "step": 968 + }, + { + "clip_ratio": 0.0, + "completion_length": 349.6458435058594, + "epoch": 0.969, + "grad_norm": 2.1705793238290965, + "kl": 0.192626953125, + "learning_rate": 1.0263206621245807e-07, + "loss": 0.0086, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 969 + }, + { + "clip_ratio": 0.0, + "completion_length": 483.27085876464844, + "epoch": 0.97, + "grad_norm": 14.676399724823877, + "kl": 1.906494140625, + "learning_rate": 1.0246514708427701e-07, + "loss": 0.435, + "reward": 1.8229166865348816, + "reward_std": 0.30924198031425476, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 970 + }, + { + "clip_ratio": 0.0, + "completion_length": 479.45835876464844, + "epoch": 0.971, + "grad_norm": 19.263883167544808, + "kl": 1.2978515625, + "learning_rate": 1.0230368102704531e-07, + "loss": 0.1467, + "reward": 1.7656250596046448, + "reward_std": 0.1077597625553608, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 971 + }, + { + "clip_ratio": 0.0, + "completion_length": 719.7083435058594, + "epoch": 0.972, + "grad_norm": 44.8940755773109, + "kl": 4.109375, + "learning_rate": 1.0214767000817596e-07, + "loss": 0.4737, + "reward": 1.5885416865348816, + "reward_std": 0.3589571416378021, + "rewards/accuracy_reward": 0.7291666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8593750298023224, + "step": 972 + }, + { + "clip_ratio": 0.0, + "completion_length": 385.0625, + "epoch": 0.973, + "grad_norm": 17.195243288642754, + "kl": 0.4140625, + "learning_rate": 1.01997115928614e-07, + "loss": 0.1543, + "reward": 1.9583333730697632, + "reward_std": 0.14433756470680237, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 973 + }, + { + "clip_ratio": 0.0, + "completion_length": 613.0625305175781, + "epoch": 0.974, + "grad_norm": 45.23194181951144, + "kl": 3.3359375, + "learning_rate": 1.0185202062281336e-07, + "loss": 0.3672, + "reward": 1.7447917461395264, + "reward_std": 0.24208343774080276, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.890625, + "step": 974 + }, + { + "clip_ratio": 0.0, + "completion_length": 374.9583435058594, + "epoch": 0.975, + "grad_norm": 0.5261299178146756, + "kl": 0.115478515625, + "learning_rate": 1.017123858587145e-07, + "loss": 0.0047, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 975 + }, + { + "clip_ratio": 0.0, + "completion_length": 400.1458435058594, + "epoch": 0.976, + "grad_norm": 2.873656529994595, + "kl": 0.400390625, + "learning_rate": 1.0157821333772304e-07, + "loss": 0.0701, + "reward": 1.9739583730697632, + "reward_std": 0.07278125733137131, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 976 + }, + { + "clip_ratio": 0.0, + "completion_length": 518.3125305175781, + "epoch": 0.977, + "grad_norm": 9.996884165951943, + "kl": 1.54296875, + "learning_rate": 1.014495046946888e-07, + "loss": 0.328, + "reward": 1.8697916865348816, + "reward_std": 0.23225001990795135, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.953125, + "step": 977 + }, + { + "clip_ratio": 0.0, + "completion_length": 338.5833435058594, + "epoch": 0.978, + "grad_norm": 0.2598334557964813, + "kl": 0.07763671875, + "learning_rate": 1.013262614978859e-07, + "loss": 0.0032, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 978 + }, + { + "clip_ratio": 0.0, + "completion_length": 544.6875, + "epoch": 0.979, + "grad_norm": 18.11242954069285, + "kl": 1.84765625, + "learning_rate": 1.0120848524899386e-07, + "loss": 0.6447, + "reward": 1.90625, + "reward_std": 0.20846855640411377, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 979 + }, + { + "clip_ratio": 0.0, + "completion_length": 430.72918701171875, + "epoch": 0.98, + "grad_norm": 22.787067779066774, + "kl": 0.873046875, + "learning_rate": 1.0109617738307911e-07, + "loss": 0.2653, + "reward": 1.9635416865348816, + "reward_std": 0.12629535794258118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 980 + }, + { + "clip_ratio": 0.0, + "completion_length": 669.7916870117188, + "epoch": 0.981, + "grad_norm": 13.008931776798422, + "kl": 3.09228515625, + "learning_rate": 1.0098933926857752e-07, + "loss": 0.4015, + "reward": 1.6145833730697632, + "reward_std": 0.3112960457801819, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8645833432674408, + "step": 981 + }, + { + "clip_ratio": 0.0, + "completion_length": 542.4791717529297, + "epoch": 0.982, + "grad_norm": 5.2310215871811305, + "kl": 2.27734375, + "learning_rate": 1.0088797220727779e-07, + "loss": 0.1947, + "reward": 1.65625, + "reward_std": 0.39038464426994324, + "rewards/accuracy_reward": 0.7708333730697632, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8854166865348816, + "step": 982 + }, + { + "clip_ratio": 0.0, + "completion_length": 408.6041717529297, + "epoch": 0.983, + "grad_norm": 21.841874988628824, + "kl": 0.54248046875, + "learning_rate": 1.007920774343056e-07, + "loss": -0.0968, + "reward": 1.5625000596046448, + "reward_std": 0.22191037237644196, + "rewards/accuracy_reward": 0.5833333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 983 + }, + { + "clip_ratio": 0.0, + "completion_length": 383.0208435058594, + "epoch": 0.984, + "grad_norm": 0.5021531299713134, + "kl": 0.109375, + "learning_rate": 1.0070165611810855e-07, + "loss": 0.0049, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 984 + }, + { + "clip_ratio": 0.0, + "completion_length": 468.41668701171875, + "epoch": 0.985, + "grad_norm": 28.70103109603422, + "kl": 0.80517578125, + "learning_rate": 1.0061670936044178e-07, + "loss": 0.4167, + "reward": 1.921875, + "reward_std": 0.20952197909355164, + "rewards/accuracy_reward": 0.9583333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9635416865348816, + "step": 985 + }, + { + "clip_ratio": 0.0, + "completion_length": 496.10418701171875, + "epoch": 0.986, + "grad_norm": 45.586855219651326, + "kl": 1.20703125, + "learning_rate": 1.005372381963547e-07, + "loss": 0.6514, + "reward": 1.6875000596046448, + "reward_std": 0.1885581836104393, + "rewards/accuracy_reward": 0.7291666716337204, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9583333432674408, + "step": 986 + }, + { + "clip_ratio": 0.0, + "completion_length": 378.5208435058594, + "epoch": 0.987, + "grad_norm": 0.8445568102034864, + "kl": 0.134765625, + "learning_rate": 1.0046324359417842e-07, + "loss": 0.0057, + "reward": 2.0, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 1.0, + "step": 987 + }, + { + "clip_ratio": 0.0, + "completion_length": 442.10418701171875, + "epoch": 0.988, + "grad_norm": 6.607655396621452, + "kl": 0.60009765625, + "learning_rate": 1.0039472645551372e-07, + "loss": 0.0827, + "reward": 1.8281250596046448, + "reward_std": 0.25082099437713623, + "rewards/accuracy_reward": 0.8541666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9739583432674408, + "step": 988 + }, + { + "clip_ratio": 0.0, + "completion_length": 489.7500305175781, + "epoch": 0.989, + "grad_norm": 18.3159302819461, + "kl": 1.375, + "learning_rate": 1.0033168761522048e-07, + "loss": 0.4835, + "reward": 1.8906250596046448, + "reward_std": 0.2560053765773773, + "rewards/accuracy_reward": 0.9375000298023224, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9531250298023224, + "step": 989 + }, + { + "clip_ratio": 0.0, + "completion_length": 528.0208587646484, + "epoch": 0.99, + "grad_norm": 9.160553830269919, + "kl": 2.30078125, + "learning_rate": 1.002741278414069e-07, + "loss": 0.3505, + "reward": 1.8333333730697632, + "reward_std": 0.30849485844373703, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9166666865348816, + "step": 990 + }, + { + "clip_ratio": 0.0, + "completion_length": 595.2083435058594, + "epoch": 0.991, + "grad_norm": 16.44046495360215, + "kl": 2.19921875, + "learning_rate": 1.0022204783542078e-07, + "loss": 0.498, + "reward": 1.8437500596046448, + "reward_std": 0.3014799952507019, + "rewards/accuracy_reward": 0.9166666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9270833432674408, + "step": 991 + }, + { + "clip_ratio": 0.0, + "completion_length": 386.81251525878906, + "epoch": 0.992, + "grad_norm": 7.34030608585405, + "kl": 0.2998046875, + "learning_rate": 1.0017544823184055e-07, + "loss": 0.045, + "reward": 1.9739583730697632, + "reward_std": 0.09021097421646118, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9947916865348816, + "step": 992 + }, + { + "clip_ratio": 0.0, + "completion_length": 448.5416717529297, + "epoch": 0.993, + "grad_norm": 6.756200871344645, + "kl": 0.93896484375, + "learning_rate": 1.001343295984676e-07, + "loss": 0.1362, + "reward": 1.9791666865348816, + "reward_std": 0.04865618050098419, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9791666865348816, + "step": 993 + }, + { + "clip_ratio": 0.0, + "completion_length": 441.7083435058594, + "epoch": 0.994, + "grad_norm": 4.712272916213893, + "kl": 0.884033203125, + "learning_rate": 1.0009869243631952e-07, + "loss": 0.0955, + "reward": 1.9635416865348816, + "reward_std": 0.07750703394412994, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 994 + }, + { + "clip_ratio": 0.0, + "completion_length": 681.4166870117188, + "epoch": 0.995, + "grad_norm": 46.85479984284838, + "kl": 4.0546875, + "learning_rate": 1.0006853717962393e-07, + "loss": 0.4603, + "reward": 1.3177083730697632, + "reward_std": 0.34362873435020447, + "rewards/accuracy_reward": 0.4791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8385416865348816, + "step": 995 + }, + { + "clip_ratio": 0.0, + "completion_length": 685.4375152587891, + "epoch": 0.996, + "grad_norm": 13.784914209991408, + "kl": 3.890625, + "learning_rate": 1.000438641958131e-07, + "loss": 0.5216, + "reward": 1.6197917461395264, + "reward_std": 0.39866499602794647, + "rewards/accuracy_reward": 0.7708333432674408, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.8489583432674408, + "step": 996 + }, + { + "clip_ratio": 0.0, + "completion_length": 439.1458435058594, + "epoch": 0.997, + "grad_norm": 66.07264188400963, + "kl": 1.552978515625, + "learning_rate": 1.0002467378551954e-07, + "loss": 0.3375, + "reward": 1.9895833730697632, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9895833432674408, + "step": 997 + }, + { + "clip_ratio": 0.0, + "completion_length": 501.5833435058594, + "epoch": 0.998, + "grad_norm": 12.910059251806782, + "kl": 1.615234375, + "learning_rate": 1.0001096618257236e-07, + "loss": 0.3175, + "reward": 1.9270833730697632, + "reward_std": 0.10264033079147339, + "rewards/accuracy_reward": 0.9791666865348816, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.9479166865348816, + "step": 998 + }, + { + "clip_ratio": 0.0, + "completion_length": 377.9583435058594, + "epoch": 0.999, + "grad_norm": 14.647500835758157, + "kl": 0.62841796875, + "learning_rate": 1.0000274155399433e-07, + "loss": 0.3012, + "reward": 1.984375, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 999 + }, + { + "clip_ratio": 0.0, + "completion_length": 402.34375, + "epoch": 1.0, + "grad_norm": 12.450347895588743, + "kl": 0.5546875, + "learning_rate": 1e-07, + "loss": 0.1298, + "reward": 1.734375, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.0, + "rewards/tag_count_reward": 0.984375, + "step": 1000 + }, + { + "epoch": 1.0, + "step": 1000, + "total_flos": 0.0, + "train_loss": 0.17772822943551, + "train_runtime": 45365.7135, + "train_samples_per_second": 0.088, + "train_steps_per_second": 0.022 + } + ], + "logging_steps": 1, + "max_steps": 1000, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 500, + "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": 8, + "trial_name": null, + "trial_params": null +}