diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,20833 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.97347316471314, + "eval_steps": 500, + "global_step": 1600, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "completion_length": 111.375, + "epoch": 0.0012338062924120913, + "grad_norm": 4.678755960296523, + "kl": 0.0, + "learning_rate": 9.993827160493825e-07, + "loss": 0.0, + "reward": 1.046875, + "reward_std": 0.4388826936483383, + "rewards/accuracy_reward": 0.78125, + "rewards/format_reward": 0.265625, + "step": 1 + }, + { + "completion_length": 109.296875, + "epoch": 0.0024676125848241827, + "grad_norm": 25.811857333887335, + "kl": 0.0005331039428710938, + "learning_rate": 9.987654320987654e-07, + "loss": 0.0, + "reward": 1.1328125, + "reward_std": 0.4845912754535675, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.2890625, + "step": 2 + }, + { + "completion_length": 99.359375, + "epoch": 0.003701418877236274, + "grad_norm": 24.829404657725267, + "kl": 0.003330230712890625, + "learning_rate": 9.981481481481482e-07, + "loss": 0.0001, + "reward": 1.078125, + "reward_std": 0.4819900691509247, + "rewards/accuracy_reward": 0.75, + "rewards/format_reward": 0.328125, + "step": 3 + }, + { + "completion_length": 105.328125, + "epoch": 0.004935225169648365, + "grad_norm": 5.5120424377504085, + "kl": 0.0046539306640625, + "learning_rate": 9.975308641975308e-07, + "loss": 0.0002, + "reward": 1.2109375, + "reward_std": 0.3965461850166321, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.3671875, + "step": 4 + }, + { + "completion_length": 115.15625, + "epoch": 0.006169031462060457, + "grad_norm": 8.465877318516926, + "kl": 0.005950927734375, + "learning_rate": 9.969135802469136e-07, + "loss": 0.0002, + "reward": 1.265625, + "reward_std": 0.30785849690437317, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.375, + "step": 5 + }, + { + "completion_length": 83.296875, + "epoch": 0.007402837754472548, + "grad_norm": 3.8856368784669737, + "kl": 0.018310546875, + "learning_rate": 9.962962962962964e-07, + "loss": 0.0007, + "reward": 1.3984375, + "reward_std": 0.203125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4609375, + "step": 6 + }, + { + "completion_length": 94.828125, + "epoch": 0.00863664404688464, + "grad_norm": 2.4203932334230345, + "kl": 0.02496337890625, + "learning_rate": 9.95679012345679e-07, + "loss": 0.001, + "reward": 1.3515625, + "reward_std": 0.17670938372612, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.4765625, + "step": 7 + }, + { + "completion_length": 83.859375, + "epoch": 0.00987045033929673, + "grad_norm": 2.108649544088262, + "kl": 0.03582763671875, + "learning_rate": 9.950617283950616e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 8 + }, + { + "completion_length": 91.125, + "epoch": 0.011104256631708822, + "grad_norm": 2.8133098608359175, + "kl": 0.0224609375, + "learning_rate": 9.944444444444444e-07, + "loss": 0.0009, + "reward": 1.2890625, + "reward_std": 0.18154378235340118, + "rewards/accuracy_reward": 0.796875, + "rewards/format_reward": 0.4921875, + "step": 9 + }, + { + "completion_length": 92.359375, + "epoch": 0.012338062924120914, + "grad_norm": 5.945600850569931, + "kl": 0.0469970703125, + "learning_rate": 9.938271604938272e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 10 + }, + { + "completion_length": 78.21875, + "epoch": 0.013571869216533004, + "grad_norm": 0.20698641230705772, + "kl": 0.015106201171875, + "learning_rate": 9.9320987654321e-07, + "loss": 0.0006, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 11 + }, + { + "completion_length": 83.53125, + "epoch": 0.014805675508945095, + "grad_norm": 0.5343182243590763, + "kl": 0.02557373046875, + "learning_rate": 9.925925925925926e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 12 + }, + { + "completion_length": 79.859375, + "epoch": 0.016039481801357187, + "grad_norm": 2.711147663668343, + "kl": 0.0216064453125, + "learning_rate": 9.919753086419754e-07, + "loss": 0.0009, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 13 + }, + { + "completion_length": 86.65625, + "epoch": 0.01727328809376928, + "grad_norm": 1.6671476456124643, + "kl": 0.0257568359375, + "learning_rate": 9.91358024691358e-07, + "loss": 0.001, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 14 + }, + { + "completion_length": 86.765625, + "epoch": 0.01850709438618137, + "grad_norm": 1.4971918486524665, + "kl": 0.02166748046875, + "learning_rate": 9.907407407407406e-07, + "loss": 0.0009, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 15 + }, + { + "completion_length": 77.609375, + "epoch": 0.01974090067859346, + "grad_norm": 1.1415570652593325, + "kl": 0.0206298828125, + "learning_rate": 9.901234567901234e-07, + "loss": 0.0008, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 16 + }, + { + "completion_length": 88.3125, + "epoch": 0.020974706971005553, + "grad_norm": 1.3294459706815323, + "kl": 0.02197265625, + "learning_rate": 9.895061728395062e-07, + "loss": 0.0009, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 17 + }, + { + "completion_length": 102.859375, + "epoch": 0.022208513263417645, + "grad_norm": 3.1573653257631067, + "kl": 0.072265625, + "learning_rate": 9.88888888888889e-07, + "loss": 0.0029, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 18 + }, + { + "completion_length": 106.65625, + "epoch": 0.023442319555829736, + "grad_norm": 1.8014267440585425, + "kl": 0.03240966796875, + "learning_rate": 9.882716049382716e-07, + "loss": 0.0013, + "reward": 1.390625, + "reward_std": 0.11662658676505089, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 19 + }, + { + "completion_length": 97.859375, + "epoch": 0.024676125848241828, + "grad_norm": 2.2990771390491247, + "kl": 0.0391845703125, + "learning_rate": 9.876543209876542e-07, + "loss": 0.0016, + "reward": 1.359375, + "reward_std": 0.1659187749028206, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.5, + "step": 20 + }, + { + "completion_length": 97.046875, + "epoch": 0.025909932140653916, + "grad_norm": 5.301141520171692, + "kl": 0.0396728515625, + "learning_rate": 9.87037037037037e-07, + "loss": 0.0016, + "reward": 1.3984375, + "reward_std": 0.17670938372612, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 21 + }, + { + "completion_length": 95.171875, + "epoch": 0.027143738433066007, + "grad_norm": 1.7225048259438263, + "kl": 0.0426025390625, + "learning_rate": 9.864197530864198e-07, + "loss": 0.0017, + "reward": 1.4296875, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 22 + }, + { + "completion_length": 91.359375, + "epoch": 0.0283775447254781, + "grad_norm": 1.1776194385928846, + "kl": 0.0416259765625, + "learning_rate": 9.858024691358024e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 23 + }, + { + "completion_length": 113.421875, + "epoch": 0.02961135101789019, + "grad_norm": 1.9386072682452344, + "kl": 0.047607421875, + "learning_rate": 9.851851851851852e-07, + "loss": 0.0019, + "reward": 1.4140625, + "reward_std": 0.1454593911767006, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 24 + }, + { + "completion_length": 100.9375, + "epoch": 0.030845157310302282, + "grad_norm": 1.439866726331972, + "kl": 0.0543212890625, + "learning_rate": 9.84567901234568e-07, + "loss": 0.0022, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 25 + }, + { + "completion_length": 102.671875, + "epoch": 0.032078963602714373, + "grad_norm": 1.9652261115525824, + "kl": 0.04248046875, + "learning_rate": 9.839506172839506e-07, + "loss": 0.0017, + "reward": 1.3125, + "reward_std": 0.1875, + "rewards/accuracy_reward": 0.8125, + "rewards/format_reward": 0.5, + "step": 26 + }, + { + "completion_length": 120.515625, + "epoch": 0.033312769895126465, + "grad_norm": 3.365126925311549, + "kl": 0.044921875, + "learning_rate": 9.833333333333332e-07, + "loss": 0.0018, + "reward": 1.3203125, + "reward_std": 0.2392093911767006, + "rewards/accuracy_reward": 0.828125, + "rewards/format_reward": 0.4921875, + "step": 27 + }, + { + "completion_length": 98.09375, + "epoch": 0.03454657618753856, + "grad_norm": 1.4519509900551117, + "kl": 0.049072265625, + "learning_rate": 9.82716049382716e-07, + "loss": 0.002, + "reward": 1.453125, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 28 + }, + { + "completion_length": 108.875, + "epoch": 0.03578038247995065, + "grad_norm": 1.9266541199423843, + "kl": 0.0501708984375, + "learning_rate": 9.820987654320988e-07, + "loss": 0.002, + "reward": 1.390625, + "reward_std": 0.1923343911767006, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.46875, + "step": 29 + }, + { + "completion_length": 113.859375, + "epoch": 0.03701418877236274, + "grad_norm": 2.518339855566089, + "kl": 0.0455322265625, + "learning_rate": 9.814814814814814e-07, + "loss": 0.0018, + "reward": 1.359375, + "reward_std": 0.19233438372612, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.484375, + "step": 30 + }, + { + "completion_length": 94.9375, + "epoch": 0.03824799506477483, + "grad_norm": 1.9552848720306542, + "kl": 0.049560546875, + "learning_rate": 9.808641975308642e-07, + "loss": 0.002, + "reward": 1.4296875, + "reward_std": 0.08779378235340118, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 31 + }, + { + "completion_length": 112.75, + "epoch": 0.03948180135718692, + "grad_norm": 1.492895286190868, + "kl": 0.03955078125, + "learning_rate": 9.80246913580247e-07, + "loss": 0.0016, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 32 + }, + { + "completion_length": 100.0, + "epoch": 0.040715607649599014, + "grad_norm": 3.071148224200042, + "kl": 0.038330078125, + "learning_rate": 9.796296296296296e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 33 + }, + { + "completion_length": 100.53125, + "epoch": 0.041949413942011106, + "grad_norm": 1.8666028826492735, + "kl": 0.0382080078125, + "learning_rate": 9.790123456790122e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 34 + }, + { + "completion_length": 109.375, + "epoch": 0.0431832202344232, + "grad_norm": 1.9405696795006586, + "kl": 0.03167724609375, + "learning_rate": 9.78395061728395e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 35 + }, + { + "completion_length": 97.5625, + "epoch": 0.04441702652683529, + "grad_norm": 1.7628751766520583, + "kl": 0.03631591796875, + "learning_rate": 9.777777777777778e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 36 + }, + { + "completion_length": 113.140625, + "epoch": 0.04565083281924738, + "grad_norm": 1.9019103664772874, + "kl": 0.036865234375, + "learning_rate": 9.771604938271606e-07, + "loss": 0.0015, + "reward": 1.359375, + "reward_std": 0.15625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.484375, + "step": 37 + }, + { + "completion_length": 95.421875, + "epoch": 0.04688463911165947, + "grad_norm": 1.6154136942292063, + "kl": 0.038818359375, + "learning_rate": 9.765432098765432e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 38 + }, + { + "completion_length": 109.546875, + "epoch": 0.048118445404071564, + "grad_norm": 2.5406691520372844, + "kl": 0.03546142578125, + "learning_rate": 9.75925925925926e-07, + "loss": 0.0014, + "reward": 1.3203125, + "reward_std": 0.18965356051921844, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.4765625, + "step": 39 + }, + { + "completion_length": 99.875, + "epoch": 0.049352251696483655, + "grad_norm": 1.0021869154999843, + "kl": 0.03363037109375, + "learning_rate": 9.753086419753086e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 40 + }, + { + "completion_length": 103.859375, + "epoch": 0.05058605798889575, + "grad_norm": 2.028198643858918, + "kl": 0.0364990234375, + "learning_rate": 9.746913580246912e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.16108438372612, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 41 + }, + { + "completion_length": 98.90625, + "epoch": 0.05181986428130783, + "grad_norm": 1.4116797877333815, + "kl": 0.0274658203125, + "learning_rate": 9.74074074074074e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.06116959825158119, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 42 + }, + { + "completion_length": 90.390625, + "epoch": 0.05305367057371992, + "grad_norm": 3.0570380391439502, + "kl": 0.06793212890625, + "learning_rate": 9.734567901234568e-07, + "loss": 0.0027, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.46875, + "step": 43 + }, + { + "completion_length": 101.078125, + "epoch": 0.054287476866132015, + "grad_norm": 1.21034439830767, + "kl": 0.033447265625, + "learning_rate": 9.728395061728396e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 44 + }, + { + "completion_length": 104.109375, + "epoch": 0.055521283158544106, + "grad_norm": 1.3767313599530109, + "kl": 0.028564453125, + "learning_rate": 9.722222222222222e-07, + "loss": 0.0011, + "reward": 1.4140625, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 45 + }, + { + "completion_length": 94.984375, + "epoch": 0.0567550894509562, + "grad_norm": 3.608674010145023, + "kl": 0.03076171875, + "learning_rate": 9.71604938271605e-07, + "loss": 0.0012, + "reward": 1.421875, + "reward_std": 0.15625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.484375, + "step": 46 + }, + { + "completion_length": 96.125, + "epoch": 0.05798889574336829, + "grad_norm": 3.424284905443341, + "kl": 0.029296875, + "learning_rate": 9.709876543209876e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 47 + }, + { + "completion_length": 105.953125, + "epoch": 0.05922270203578038, + "grad_norm": 3.6635358929273196, + "kl": 0.0308837890625, + "learning_rate": 9.703703703703704e-07, + "loss": 0.0012, + "reward": 1.359375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.484375, + "step": 48 + }, + { + "completion_length": 97.953125, + "epoch": 0.06045650832819247, + "grad_norm": 3.726564466545244, + "kl": 0.0394287109375, + "learning_rate": 9.69753086419753e-07, + "loss": 0.0016, + "reward": 1.3671875, + "reward_std": 0.203125, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4609375, + "step": 49 + }, + { + "completion_length": 99.09375, + "epoch": 0.061690314620604564, + "grad_norm": 0.3856494128235064, + "kl": 0.024658203125, + "learning_rate": 9.691358024691358e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 50 + }, + { + "completion_length": 98.09375, + "epoch": 0.06292412091301666, + "grad_norm": 2.479098554973388, + "kl": 0.04608154296875, + "learning_rate": 9.685185185185186e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 51 + }, + { + "completion_length": 98.109375, + "epoch": 0.06415792720542875, + "grad_norm": 2.2328851968691072, + "kl": 0.0316162109375, + "learning_rate": 9.679012345679012e-07, + "loss": 0.0013, + "reward": 1.375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 52 + }, + { + "completion_length": 93.6875, + "epoch": 0.06539173349784085, + "grad_norm": 4.131259561444984, + "kl": 0.126708984375, + "learning_rate": 9.67283950617284e-07, + "loss": 0.0051, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 53 + }, + { + "completion_length": 92.046875, + "epoch": 0.06662553979025293, + "grad_norm": 0.8130352414637579, + "kl": 0.0308837890625, + "learning_rate": 9.666666666666666e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 54 + }, + { + "completion_length": 84.375, + "epoch": 0.06785934608266501, + "grad_norm": 0.8582207154886838, + "kl": 0.03082275390625, + "learning_rate": 9.660493827160494e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 55 + }, + { + "completion_length": 92.921875, + "epoch": 0.06909315237507711, + "grad_norm": 4.453593794752862, + "kl": 0.034423828125, + "learning_rate": 9.65432098765432e-07, + "loss": 0.0014, + "reward": 1.3203125, + "reward_std": 0.18154378235340118, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.4765625, + "step": 56 + }, + { + "completion_length": 94.4375, + "epoch": 0.0703269586674892, + "grad_norm": 1.5585298060464017, + "kl": 0.0419921875, + "learning_rate": 9.648148148148148e-07, + "loss": 0.0017, + "reward": 1.4375, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 57 + }, + { + "completion_length": 82.828125, + "epoch": 0.0715607649599013, + "grad_norm": 1.585145898515498, + "kl": 0.0408935546875, + "learning_rate": 9.641975308641976e-07, + "loss": 0.0016, + "reward": 1.4140625, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 58 + }, + { + "completion_length": 89.421875, + "epoch": 0.07279457125231338, + "grad_norm": 5.598808553951379, + "kl": 0.0535888671875, + "learning_rate": 9.635802469135802e-07, + "loss": 0.0021, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4765625, + "step": 59 + }, + { + "completion_length": 79.265625, + "epoch": 0.07402837754472548, + "grad_norm": 1.3234162041856352, + "kl": 0.051513671875, + "learning_rate": 9.629629629629628e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 60 + }, + { + "completion_length": 83.296875, + "epoch": 0.07526218383713756, + "grad_norm": 2.825578099541699, + "kl": 0.045166015625, + "learning_rate": 9.623456790123456e-07, + "loss": 0.0018, + "reward": 1.3984375, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 61 + }, + { + "completion_length": 96.03125, + "epoch": 0.07649599012954966, + "grad_norm": 1.1064729187369466, + "kl": 0.0380859375, + "learning_rate": 9.617283950617284e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.04419417306780815, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 62 + }, + { + "completion_length": 78.6875, + "epoch": 0.07772979642196175, + "grad_norm": 5.054559743348827, + "kl": 0.0494384765625, + "learning_rate": 9.61111111111111e-07, + "loss": 0.002, + "reward": 1.359375, + "reward_std": 0.21875, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.484375, + "step": 63 + }, + { + "completion_length": 98.625, + "epoch": 0.07896360271437385, + "grad_norm": 2.9379005667037914, + "kl": 0.0482177734375, + "learning_rate": 9.604938271604938e-07, + "loss": 0.0019, + "reward": 1.421875, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.484375, + "step": 64 + }, + { + "completion_length": 84.9375, + "epoch": 0.08019740900678593, + "grad_norm": 2.0220248689471276, + "kl": 0.0496826171875, + "learning_rate": 9.598765432098766e-07, + "loss": 0.002, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 65 + }, + { + "completion_length": 90.796875, + "epoch": 0.08143121529919803, + "grad_norm": 2.702952209157037, + "kl": 0.0540771484375, + "learning_rate": 9.592592592592592e-07, + "loss": 0.0022, + "reward": 1.421875, + "reward_std": 0.1392945945262909, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.46875, + "step": 66 + }, + { + "completion_length": 82.125, + "epoch": 0.08266502159161011, + "grad_norm": 5.687793666044118, + "kl": 0.052490234375, + "learning_rate": 9.586419753086418e-07, + "loss": 0.0021, + "reward": 1.40625, + "reward_std": 0.11744705587625504, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 67 + }, + { + "completion_length": 86.921875, + "epoch": 0.08389882788402221, + "grad_norm": 0.2306855672604762, + "kl": 0.05322265625, + "learning_rate": 9.580246913580246e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 68 + }, + { + "completion_length": 88.625, + "epoch": 0.0851326341764343, + "grad_norm": 3.2320866246397535, + "kl": 0.053466796875, + "learning_rate": 9.574074074074074e-07, + "loss": 0.0021, + "reward": 1.3671875, + "reward_std": 0.16915644705295563, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4609375, + "step": 69 + }, + { + "completion_length": 72.453125, + "epoch": 0.0863664404688464, + "grad_norm": 3.045618931053479, + "kl": 0.0513916015625, + "learning_rate": 9.567901234567902e-07, + "loss": 0.0021, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 70 + }, + { + "completion_length": 77.3125, + "epoch": 0.08760024676125848, + "grad_norm": 1.4926168166688647, + "kl": 0.053955078125, + "learning_rate": 9.561728395061728e-07, + "loss": 0.0022, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 71 + }, + { + "completion_length": 82.671875, + "epoch": 0.08883405305367058, + "grad_norm": 1.9410484009306177, + "kl": 0.0533447265625, + "learning_rate": 9.555555555555556e-07, + "loss": 0.0021, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 72 + }, + { + "completion_length": 93.46875, + "epoch": 0.09006785934608266, + "grad_norm": 2.300464538615, + "kl": 0.0384521484375, + "learning_rate": 9.549382716049382e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 73 + }, + { + "completion_length": 92.078125, + "epoch": 0.09130166563849476, + "grad_norm": 0.711909931697945, + "kl": 0.040771484375, + "learning_rate": 9.543209876543208e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 74 + }, + { + "completion_length": 93.75, + "epoch": 0.09253547193090685, + "grad_norm": 3.534952145607356, + "kl": 0.1708984375, + "learning_rate": 9.537037037037036e-07, + "loss": 0.0068, + "reward": 1.40625, + "reward_std": 0.16108438372612, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 75 + }, + { + "completion_length": 87.296875, + "epoch": 0.09376927822331894, + "grad_norm": 0.904209144019997, + "kl": 0.0416259765625, + "learning_rate": 9.530864197530863e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 76 + }, + { + "completion_length": 80.09375, + "epoch": 0.09500308451573103, + "grad_norm": 0.47610449548841993, + "kl": 0.05078125, + "learning_rate": 9.524691358024691e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 77 + }, + { + "completion_length": 83.375, + "epoch": 0.09623689080814313, + "grad_norm": 2.3987775324932015, + "kl": 0.0452880859375, + "learning_rate": 9.518518518518518e-07, + "loss": 0.0018, + "reward": 1.421875, + "reward_std": 0.15625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.484375, + "step": 78 + }, + { + "completion_length": 81.828125, + "epoch": 0.09747069710055521, + "grad_norm": 3.482762163152463, + "kl": 0.045166015625, + "learning_rate": 9.512345679012346e-07, + "loss": 0.0018, + "reward": 1.40625, + "reward_std": 0.10669417679309845, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 79 + }, + { + "completion_length": 98.3125, + "epoch": 0.09870450339296731, + "grad_norm": 0.1784487418252595, + "kl": 0.0377197265625, + "learning_rate": 9.506172839506172e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 80 + }, + { + "completion_length": 95.21875, + "epoch": 0.0999383096853794, + "grad_norm": 2.147551488420084, + "kl": 0.0404052734375, + "learning_rate": 9.499999999999999e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 81 + }, + { + "completion_length": 98.375, + "epoch": 0.1011721159777915, + "grad_norm": 0.5747398286411722, + "kl": 0.035400390625, + "learning_rate": 9.493827160493827e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 82 + }, + { + "completion_length": 85.5, + "epoch": 0.10240592227020358, + "grad_norm": 1.912443312694372, + "kl": 0.0372314453125, + "learning_rate": 9.487654320987654e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 83 + }, + { + "completion_length": 80.421875, + "epoch": 0.10363972856261566, + "grad_norm": 3.2088829084740937, + "kl": 0.03759765625, + "learning_rate": 9.481481481481481e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 84 + }, + { + "completion_length": 81.265625, + "epoch": 0.10487353485502776, + "grad_norm": 3.2910088203894565, + "kl": 0.04345703125, + "learning_rate": 9.475308641975308e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 85 + }, + { + "completion_length": 88.75, + "epoch": 0.10610734114743985, + "grad_norm": 2.787700878722345, + "kl": 0.03369140625, + "learning_rate": 9.469135802469136e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 86 + }, + { + "completion_length": 96.75, + "epoch": 0.10734114743985194, + "grad_norm": 0.8942806428381357, + "kl": 0.0277099609375, + "learning_rate": 9.462962962962962e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 87 + }, + { + "completion_length": 96.0625, + "epoch": 0.10857495373226403, + "grad_norm": 0.9775220262405749, + "kl": 0.031005859375, + "learning_rate": 9.456790123456789e-07, + "loss": 0.0012, + "reward": 1.4453125, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 88 + }, + { + "completion_length": 81.9375, + "epoch": 0.10980876002467613, + "grad_norm": 2.520167198131087, + "kl": 0.10394287109375, + "learning_rate": 9.450617283950617e-07, + "loss": 0.0042, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 89 + }, + { + "completion_length": 100.5, + "epoch": 0.11104256631708821, + "grad_norm": 1.8214985198767273, + "kl": 0.047119140625, + "learning_rate": 9.444444444444444e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 90 + }, + { + "completion_length": 78.234375, + "epoch": 0.11227637260950031, + "grad_norm": 1.6327501168691838, + "kl": 0.03204345703125, + "learning_rate": 9.438271604938271e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 91 + }, + { + "completion_length": 98.078125, + "epoch": 0.1135101789019124, + "grad_norm": 1.8084413677421536, + "kl": 0.028564453125, + "learning_rate": 9.432098765432098e-07, + "loss": 0.0011, + "reward": 1.375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 92 + }, + { + "completion_length": 95.875, + "epoch": 0.1147439851943245, + "grad_norm": 1.484097000283282, + "kl": 0.029052734375, + "learning_rate": 9.425925925925925e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 93 + }, + { + "completion_length": 93.90625, + "epoch": 0.11597779148673658, + "grad_norm": 1.2403192650194836, + "kl": 0.02325439453125, + "learning_rate": 9.419753086419753e-07, + "loss": 0.0009, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 94 + }, + { + "completion_length": 99.875, + "epoch": 0.11721159777914868, + "grad_norm": 2.6316737587924783, + "kl": 0.0260009765625, + "learning_rate": 9.413580246913579e-07, + "loss": 0.001, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 95 + }, + { + "completion_length": 94.484375, + "epoch": 0.11844540407156076, + "grad_norm": 0.9166415506260656, + "kl": 0.03076171875, + "learning_rate": 9.407407407407407e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 96 + }, + { + "completion_length": 91.40625, + "epoch": 0.11967921036397286, + "grad_norm": 0.3411253948907181, + "kl": 0.02435302734375, + "learning_rate": 9.401234567901234e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 97 + }, + { + "completion_length": 103.90625, + "epoch": 0.12091301665638494, + "grad_norm": 1.1230557416796232, + "kl": 0.02813720703125, + "learning_rate": 9.395061728395062e-07, + "loss": 0.0011, + "reward": 1.3984375, + "reward_std": 0.10665644705295563, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 98 + }, + { + "completion_length": 91.796875, + "epoch": 0.12214682294879704, + "grad_norm": 0.679582852538816, + "kl": 0.02862548828125, + "learning_rate": 9.388888888888888e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 99 + }, + { + "completion_length": 100.203125, + "epoch": 0.12338062924120913, + "grad_norm": 2.5166992768782395, + "kl": 0.0377197265625, + "learning_rate": 9.382716049382715e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.1875, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.46875, + "step": 100 + }, + { + "completion_length": 103.734375, + "epoch": 0.12461443553362123, + "grad_norm": 1.1519664447556612, + "kl": 0.02288818359375, + "learning_rate": 9.376543209876543e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 101 + }, + { + "completion_length": 92.4375, + "epoch": 0.12584824182603332, + "grad_norm": 0.1407809974253856, + "kl": 0.028564453125, + "learning_rate": 9.370370370370369e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 102 + }, + { + "completion_length": 96.625, + "epoch": 0.1270820481184454, + "grad_norm": 1.0677946961785159, + "kl": 0.02984619140625, + "learning_rate": 9.364197530864197e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 103 + }, + { + "completion_length": 95.734375, + "epoch": 0.1283158544108575, + "grad_norm": 2.1578074703765955, + "kl": 0.02392578125, + "learning_rate": 9.358024691358024e-07, + "loss": 0.001, + "reward": 1.40625, + "reward_std": 0.13466878235340118, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 104 + }, + { + "completion_length": 100.578125, + "epoch": 0.1295496607032696, + "grad_norm": 1.0468977121026402, + "kl": 0.036376953125, + "learning_rate": 9.351851851851852e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.06116959825158119, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 105 + }, + { + "completion_length": 106.9375, + "epoch": 0.1307834669956817, + "grad_norm": 1.4991166712071502, + "kl": 0.027587890625, + "learning_rate": 9.345679012345678e-07, + "loss": 0.0011, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 106 + }, + { + "completion_length": 105.71875, + "epoch": 0.13201727328809376, + "grad_norm": 2.094976404018639, + "kl": 0.03125, + "learning_rate": 9.339506172839505e-07, + "loss": 0.0013, + "reward": 1.4140625, + "reward_std": 0.140625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4765625, + "step": 107 + }, + { + "completion_length": 90.234375, + "epoch": 0.13325107958050586, + "grad_norm": 0.14395889485035912, + "kl": 0.02197265625, + "learning_rate": 9.333333333333333e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 108 + }, + { + "completion_length": 110.953125, + "epoch": 0.13448488587291796, + "grad_norm": 2.411907632392255, + "kl": 0.0306396484375, + "learning_rate": 9.32716049382716e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 109 + }, + { + "completion_length": 112.640625, + "epoch": 0.13571869216533003, + "grad_norm": 0.13245651011376136, + "kl": 0.025634765625, + "learning_rate": 9.320987654320987e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 110 + }, + { + "completion_length": 95.71875, + "epoch": 0.13695249845774213, + "grad_norm": 0.93866558440413, + "kl": 0.0340576171875, + "learning_rate": 9.314814814814814e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 111 + }, + { + "completion_length": 97.671875, + "epoch": 0.13818630475015423, + "grad_norm": 1.4130263133672192, + "kl": 0.02764892578125, + "learning_rate": 9.308641975308642e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 112 + }, + { + "completion_length": 107.0, + "epoch": 0.13942011104256632, + "grad_norm": 1.2558609007135062, + "kl": 0.0262451171875, + "learning_rate": 9.302469135802468e-07, + "loss": 0.001, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 113 + }, + { + "completion_length": 103.5625, + "epoch": 0.1406539173349784, + "grad_norm": 1.7001142518659913, + "kl": 0.02813720703125, + "learning_rate": 9.296296296296295e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 114 + }, + { + "completion_length": 100.84375, + "epoch": 0.1418877236273905, + "grad_norm": 1.7609210855934732, + "kl": 0.02825927734375, + "learning_rate": 9.290123456790123e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 115 + }, + { + "completion_length": 102.546875, + "epoch": 0.1431215299198026, + "grad_norm": 2.1106091517125227, + "kl": 0.026123046875, + "learning_rate": 9.28395061728395e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 116 + }, + { + "completion_length": 99.84375, + "epoch": 0.1443553362122147, + "grad_norm": 2.786119017638113, + "kl": 0.02606201171875, + "learning_rate": 9.277777777777777e-07, + "loss": 0.001, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 117 + }, + { + "completion_length": 100.46875, + "epoch": 0.14558914250462676, + "grad_norm": 1.5962980895388914, + "kl": 0.027587890625, + "learning_rate": 9.271604938271604e-07, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 118 + }, + { + "completion_length": 102.640625, + "epoch": 0.14682294879703886, + "grad_norm": 0.5143377179556514, + "kl": 0.0347900390625, + "learning_rate": 9.265432098765432e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 119 + }, + { + "completion_length": 77.15625, + "epoch": 0.14805675508945096, + "grad_norm": 1.7474779777035105, + "kl": 0.045654296875, + "learning_rate": 9.259259259259259e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 120 + }, + { + "completion_length": 82.90625, + "epoch": 0.14929056138186306, + "grad_norm": 2.7173918487819972, + "kl": 0.0447998046875, + "learning_rate": 9.253086419753085e-07, + "loss": 0.0018, + "reward": 1.375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.484375, + "step": 121 + }, + { + "completion_length": 86.765625, + "epoch": 0.15052436767427513, + "grad_norm": 1.257361543356471, + "kl": 0.0379638671875, + "learning_rate": 9.246913580246913e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 122 + }, + { + "completion_length": 82.375, + "epoch": 0.15175817396668723, + "grad_norm": 0.7404639367980361, + "kl": 0.036376953125, + "learning_rate": 9.24074074074074e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 123 + }, + { + "completion_length": 88.203125, + "epoch": 0.15299198025909932, + "grad_norm": 0.188491702108809, + "kl": 0.0294189453125, + "learning_rate": 9.234567901234567e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 124 + }, + { + "completion_length": 99.921875, + "epoch": 0.15422578655151142, + "grad_norm": 0.6481786565037644, + "kl": 0.0277099609375, + "learning_rate": 9.228395061728394e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 125 + }, + { + "completion_length": 81.546875, + "epoch": 0.1554595928439235, + "grad_norm": 1.9079808157498979, + "kl": 0.0325927734375, + "learning_rate": 9.222222222222222e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 126 + }, + { + "completion_length": 90.671875, + "epoch": 0.1566933991363356, + "grad_norm": 0.1797286108855035, + "kl": 0.0313720703125, + "learning_rate": 9.216049382716049e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 127 + }, + { + "completion_length": 89.953125, + "epoch": 0.1579272054287477, + "grad_norm": 1.7125804140840892, + "kl": 0.035400390625, + "learning_rate": 9.209876543209875e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 128 + }, + { + "completion_length": 103.828125, + "epoch": 0.1591610117211598, + "grad_norm": 0.9699809190515872, + "kl": 0.0291748046875, + "learning_rate": 9.203703703703703e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 129 + }, + { + "completion_length": 88.875, + "epoch": 0.16039481801357186, + "grad_norm": 0.15588250414779797, + "kl": 0.03173828125, + "learning_rate": 9.19753086419753e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 130 + }, + { + "completion_length": 86.296875, + "epoch": 0.16162862430598396, + "grad_norm": 3.795614551048789, + "kl": 0.02911376953125, + "learning_rate": 9.191358024691358e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 131 + }, + { + "completion_length": 84.328125, + "epoch": 0.16286243059839606, + "grad_norm": 0.27275386441930916, + "kl": 0.03851318359375, + "learning_rate": 9.185185185185184e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 132 + }, + { + "completion_length": 97.078125, + "epoch": 0.16409623689080816, + "grad_norm": 0.12331942912613447, + "kl": 0.0330810546875, + "learning_rate": 9.179012345679011e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 133 + }, + { + "completion_length": 94.15625, + "epoch": 0.16533004318322023, + "grad_norm": 3.9193833996072063, + "kl": 0.02978515625, + "learning_rate": 9.172839506172839e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 134 + }, + { + "completion_length": 89.75, + "epoch": 0.16656384947563233, + "grad_norm": 1.1201900294244898, + "kl": 0.032470703125, + "learning_rate": 9.166666666666665e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 135 + }, + { + "completion_length": 103.1875, + "epoch": 0.16779765576804442, + "grad_norm": 0.12480534415717867, + "kl": 0.0247802734375, + "learning_rate": 9.160493827160493e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 136 + }, + { + "completion_length": 91.1875, + "epoch": 0.16903146206045652, + "grad_norm": 5.499653020634596, + "kl": 0.0264892578125, + "learning_rate": 9.15432098765432e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 137 + }, + { + "completion_length": 103.046875, + "epoch": 0.1702652683528686, + "grad_norm": 0.9288805173629352, + "kl": 0.02789306640625, + "learning_rate": 9.148148148148148e-07, + "loss": 0.0011, + "reward": 1.390625, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.5, + "step": 138 + }, + { + "completion_length": 120.40625, + "epoch": 0.1714990746452807, + "grad_norm": 1.1474652101841216, + "kl": 0.02862548828125, + "learning_rate": 9.141975308641974e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 139 + }, + { + "completion_length": 113.265625, + "epoch": 0.1727328809376928, + "grad_norm": 1.5422456594646612, + "kl": 0.0338134765625, + "learning_rate": 9.135802469135801e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 140 + }, + { + "completion_length": 100.546875, + "epoch": 0.17396668723010486, + "grad_norm": 0.7105116001316822, + "kl": 0.02972412109375, + "learning_rate": 9.12962962962963e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 141 + }, + { + "completion_length": 116.421875, + "epoch": 0.17520049352251696, + "grad_norm": 1.3483875095258684, + "kl": 0.03369140625, + "learning_rate": 9.123456790123456e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 142 + }, + { + "completion_length": 100.984375, + "epoch": 0.17643429981492906, + "grad_norm": 1.5445125152662849, + "kl": 0.033203125, + "learning_rate": 9.117283950617283e-07, + "loss": 0.0013, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 143 + }, + { + "completion_length": 117.34375, + "epoch": 0.17766810610734116, + "grad_norm": 1.2688617468057768, + "kl": 0.023193359375, + "learning_rate": 9.11111111111111e-07, + "loss": 0.0009, + "reward": 1.359375, + "reward_std": 0.1298343911767006, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.5, + "step": 144 + }, + { + "completion_length": 116.53125, + "epoch": 0.17890191239975323, + "grad_norm": 1.9369008652014292, + "kl": 0.0198974609375, + "learning_rate": 9.104938271604939e-07, + "loss": 0.0008, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 145 + }, + { + "completion_length": 98.6875, + "epoch": 0.18013571869216533, + "grad_norm": 1.820252512868114, + "kl": 0.0330810546875, + "learning_rate": 9.098765432098766e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 146 + }, + { + "completion_length": 93.21875, + "epoch": 0.18136952498457742, + "grad_norm": 0.9148741053498336, + "kl": 0.02783203125, + "learning_rate": 9.092592592592591e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 147 + }, + { + "completion_length": 97.984375, + "epoch": 0.18260333127698952, + "grad_norm": 0.8063172705585285, + "kl": 0.03582763671875, + "learning_rate": 9.08641975308642e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 148 + }, + { + "completion_length": 106.984375, + "epoch": 0.1838371375694016, + "grad_norm": 1.6786908870342971, + "kl": 0.0264892578125, + "learning_rate": 9.080246913580247e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 149 + }, + { + "completion_length": 98.28125, + "epoch": 0.1850709438618137, + "grad_norm": 0.2764046263067454, + "kl": 0.035888671875, + "learning_rate": 9.074074074074074e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 150 + }, + { + "completion_length": 92.484375, + "epoch": 0.1863047501542258, + "grad_norm": 1.4764774032743462, + "kl": 0.03216552734375, + "learning_rate": 9.0679012345679e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 151 + }, + { + "completion_length": 85.875, + "epoch": 0.1875385564466379, + "grad_norm": 0.21090612523872973, + "kl": 0.03399658203125, + "learning_rate": 9.061728395061729e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 152 + }, + { + "completion_length": 91.703125, + "epoch": 0.18877236273904996, + "grad_norm": 0.1408910462204246, + "kl": 0.0283203125, + "learning_rate": 9.055555555555556e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 153 + }, + { + "completion_length": 91.203125, + "epoch": 0.19000616903146206, + "grad_norm": 0.9678261448216474, + "kl": 0.02947998046875, + "learning_rate": 9.049382716049381e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 154 + }, + { + "completion_length": 83.484375, + "epoch": 0.19123997532387416, + "grad_norm": 0.19144826510871307, + "kl": 0.034423828125, + "learning_rate": 9.04320987654321e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 155 + }, + { + "completion_length": 89.09375, + "epoch": 0.19247378161628625, + "grad_norm": 0.18427859512896808, + "kl": 0.03204345703125, + "learning_rate": 9.037037037037037e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 156 + }, + { + "completion_length": 92.4375, + "epoch": 0.19370758790869833, + "grad_norm": 0.6796588609207804, + "kl": 0.03851318359375, + "learning_rate": 9.030864197530865e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 157 + }, + { + "completion_length": 88.515625, + "epoch": 0.19494139420111042, + "grad_norm": 1.9424383232275872, + "kl": 0.03466796875, + "learning_rate": 9.024691358024691e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 158 + }, + { + "completion_length": 96.015625, + "epoch": 0.19617520049352252, + "grad_norm": 0.9468933925142511, + "kl": 0.0257568359375, + "learning_rate": 9.018518518518519e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 159 + }, + { + "completion_length": 76.75, + "epoch": 0.19740900678593462, + "grad_norm": 0.6955921940338748, + "kl": 0.0384521484375, + "learning_rate": 9.012345679012346e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 160 + }, + { + "completion_length": 85.28125, + "epoch": 0.1986428130783467, + "grad_norm": 0.1916756463500352, + "kl": 0.0318603515625, + "learning_rate": 9.006172839506172e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 161 + }, + { + "completion_length": 85.28125, + "epoch": 0.1998766193707588, + "grad_norm": 0.880011959914229, + "kl": 0.03314208984375, + "learning_rate": 9e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 162 + }, + { + "completion_length": 89.875, + "epoch": 0.2011104256631709, + "grad_norm": 0.13406566183043886, + "kl": 0.0245361328125, + "learning_rate": 8.993827160493827e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 163 + }, + { + "completion_length": 88.03125, + "epoch": 0.202344231955583, + "grad_norm": 0.11542559446310607, + "kl": 0.0262451171875, + "learning_rate": 8.987654320987655e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 164 + }, + { + "completion_length": 89.65625, + "epoch": 0.20357803824799506, + "grad_norm": 1.8282622132708566, + "kl": 0.0330810546875, + "learning_rate": 8.981481481481481e-07, + "loss": 0.0013, + "reward": 1.421875, + "reward_std": 0.1298343911767006, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 165 + }, + { + "completion_length": 98.578125, + "epoch": 0.20481184454040716, + "grad_norm": 0.6010821394264875, + "kl": 0.02301025390625, + "learning_rate": 8.975308641975308e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 166 + }, + { + "completion_length": 88.328125, + "epoch": 0.20604565083281925, + "grad_norm": 0.36035232389000194, + "kl": 0.0323486328125, + "learning_rate": 8.969135802469136e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 167 + }, + { + "completion_length": 99.640625, + "epoch": 0.20727945712523133, + "grad_norm": 0.2290889051844383, + "kl": 0.0306396484375, + "learning_rate": 8.962962962962963e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 168 + }, + { + "completion_length": 99.5, + "epoch": 0.20851326341764342, + "grad_norm": 0.14110023179600917, + "kl": 0.02606201171875, + "learning_rate": 8.95679012345679e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 169 + }, + { + "completion_length": 90.890625, + "epoch": 0.20974706971005552, + "grad_norm": 0.9477828972286558, + "kl": 0.032470703125, + "learning_rate": 8.950617283950617e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 170 + }, + { + "completion_length": 105.328125, + "epoch": 0.21098087600246762, + "grad_norm": 0.5838442990877823, + "kl": 0.0306396484375, + "learning_rate": 8.944444444444445e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 171 + }, + { + "completion_length": 99.109375, + "epoch": 0.2122146822948797, + "grad_norm": 7.192770203313998, + "kl": 0.09393310546875, + "learning_rate": 8.938271604938271e-07, + "loss": 0.0037, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 172 + }, + { + "completion_length": 110.0, + "epoch": 0.2134484885872918, + "grad_norm": 0.1692131761674102, + "kl": 0.032958984375, + "learning_rate": 8.932098765432098e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 173 + }, + { + "completion_length": 102.65625, + "epoch": 0.2146822948797039, + "grad_norm": 1.3183298568116895, + "kl": 0.0321044921875, + "learning_rate": 8.925925925925926e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 174 + }, + { + "completion_length": 100.375, + "epoch": 0.215916101172116, + "grad_norm": 1.054241469646069, + "kl": 0.033935546875, + "learning_rate": 8.919753086419753e-07, + "loss": 0.0014, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 175 + }, + { + "completion_length": 103.09375, + "epoch": 0.21714990746452806, + "grad_norm": 2.8796530685667854, + "kl": 0.030517578125, + "learning_rate": 8.91358024691358e-07, + "loss": 0.0012, + "reward": 1.4140625, + "reward_std": 0.10182205587625504, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 176 + }, + { + "completion_length": 105.578125, + "epoch": 0.21838371375694016, + "grad_norm": 0.871575658152184, + "kl": 0.03558349609375, + "learning_rate": 8.907407407407407e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 177 + }, + { + "completion_length": 101.4375, + "epoch": 0.21961752004935226, + "grad_norm": 0.24376423420392773, + "kl": 0.03765869140625, + "learning_rate": 8.901234567901235e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 178 + }, + { + "completion_length": 99.046875, + "epoch": 0.22085132634176435, + "grad_norm": 13.628227002609654, + "kl": 0.043212890625, + "learning_rate": 8.895061728395062e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 179 + }, + { + "completion_length": 118.9375, + "epoch": 0.22208513263417642, + "grad_norm": 1.1591324233947171, + "kl": 0.02789306640625, + "learning_rate": 8.888888888888888e-07, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 180 + }, + { + "completion_length": 105.5, + "epoch": 0.22331893892658852, + "grad_norm": 0.14101835403565086, + "kl": 0.03204345703125, + "learning_rate": 8.882716049382716e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 181 + }, + { + "completion_length": 104.8125, + "epoch": 0.22455274521900062, + "grad_norm": 1.0158539850621142, + "kl": 0.0289306640625, + "learning_rate": 8.876543209876543e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 182 + }, + { + "completion_length": 106.328125, + "epoch": 0.22578655151141272, + "grad_norm": 1.2227455687727116, + "kl": 0.0382080078125, + "learning_rate": 8.870370370370371e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 183 + }, + { + "completion_length": 112.546875, + "epoch": 0.2270203578038248, + "grad_norm": 12.025086507177805, + "kl": 0.044921875, + "learning_rate": 8.864197530864197e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 184 + }, + { + "completion_length": 109.703125, + "epoch": 0.2282541640962369, + "grad_norm": 1.2048641252131593, + "kl": 0.0345458984375, + "learning_rate": 8.858024691358025e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 185 + }, + { + "completion_length": 112.6875, + "epoch": 0.229487970388649, + "grad_norm": 0.22163445575040908, + "kl": 0.0277099609375, + "learning_rate": 8.851851851851852e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 186 + }, + { + "completion_length": 101.8125, + "epoch": 0.23072177668106109, + "grad_norm": 1.5203275492484951, + "kl": 0.0272216796875, + "learning_rate": 8.845679012345678e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 187 + }, + { + "completion_length": 102.28125, + "epoch": 0.23195558297347316, + "grad_norm": 1.221199110020032, + "kl": 0.02789306640625, + "learning_rate": 8.839506172839506e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 188 + }, + { + "completion_length": 111.109375, + "epoch": 0.23318938926588526, + "grad_norm": 1.5338719020256335, + "kl": 0.046875, + "learning_rate": 8.833333333333333e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 189 + }, + { + "completion_length": 114.046875, + "epoch": 0.23442319555829735, + "grad_norm": 0.14496004959227468, + "kl": 0.0311279296875, + "learning_rate": 8.827160493827161e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 190 + }, + { + "completion_length": 117.265625, + "epoch": 0.23565700185070945, + "grad_norm": 0.12007304145684158, + "kl": 0.02734375, + "learning_rate": 8.820987654320987e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 191 + }, + { + "completion_length": 102.265625, + "epoch": 0.23689080814312152, + "grad_norm": 2.623766029019948, + "kl": 0.0325927734375, + "learning_rate": 8.814814814814815e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 192 + }, + { + "completion_length": 98.453125, + "epoch": 0.23812461443553362, + "grad_norm": 1.50282160348329, + "kl": 0.03497314453125, + "learning_rate": 8.808641975308642e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 193 + }, + { + "completion_length": 100.234375, + "epoch": 0.23935842072794572, + "grad_norm": 2.605944544179683, + "kl": 0.05120849609375, + "learning_rate": 8.802469135802469e-07, + "loss": 0.0021, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 194 + }, + { + "completion_length": 101.21875, + "epoch": 0.2405922270203578, + "grad_norm": 1.1149956053821903, + "kl": 0.02410888671875, + "learning_rate": 8.796296296296296e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 195 + }, + { + "completion_length": 102.28125, + "epoch": 0.2418260333127699, + "grad_norm": 1.065024122950971, + "kl": 0.0433349609375, + "learning_rate": 8.790123456790123e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 196 + }, + { + "completion_length": 94.28125, + "epoch": 0.243059839605182, + "grad_norm": 1.9362638963919474, + "kl": 0.0400390625, + "learning_rate": 8.783950617283951e-07, + "loss": 0.0016, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 197 + }, + { + "completion_length": 100.9375, + "epoch": 0.24429364589759409, + "grad_norm": 3.956075445432547, + "kl": 0.0352783203125, + "learning_rate": 8.777777777777777e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 198 + }, + { + "completion_length": 93.65625, + "epoch": 0.24552745219000616, + "grad_norm": 0.18452967250551858, + "kl": 0.03240966796875, + "learning_rate": 8.771604938271605e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 199 + }, + { + "completion_length": 88.671875, + "epoch": 0.24676125848241826, + "grad_norm": 2.657807016101116, + "kl": 0.03057861328125, + "learning_rate": 8.765432098765432e-07, + "loss": 0.0012, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 200 + }, + { + "completion_length": 92.734375, + "epoch": 0.24799506477483035, + "grad_norm": 1.8999568776509204, + "kl": 0.033935546875, + "learning_rate": 8.759259259259259e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 201 + }, + { + "completion_length": 99.75, + "epoch": 0.24922887106724245, + "grad_norm": 0.13021551244282883, + "kl": 0.033447265625, + "learning_rate": 8.753086419753086e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 202 + }, + { + "completion_length": 95.84375, + "epoch": 0.25046267735965455, + "grad_norm": 1.9270430756256365, + "kl": 0.035888671875, + "learning_rate": 8.746913580246913e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 203 + }, + { + "completion_length": 87.75, + "epoch": 0.25169648365206665, + "grad_norm": 0.5298666823997676, + "kl": 0.0296630859375, + "learning_rate": 8.740740740740741e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 204 + }, + { + "completion_length": 91.546875, + "epoch": 0.2529302899444787, + "grad_norm": 0.14473491443745068, + "kl": 0.02734375, + "learning_rate": 8.734567901234568e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 205 + }, + { + "completion_length": 94.34375, + "epoch": 0.2541640962368908, + "grad_norm": 0.16885406708956474, + "kl": 0.03228759765625, + "learning_rate": 8.728395061728394e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 206 + }, + { + "completion_length": 96.328125, + "epoch": 0.2553979025293029, + "grad_norm": 0.47192467178397357, + "kl": 0.0355224609375, + "learning_rate": 8.722222222222222e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 207 + }, + { + "completion_length": 87.9375, + "epoch": 0.256631708821715, + "grad_norm": 1.0597997901983314, + "kl": 0.027099609375, + "learning_rate": 8.716049382716049e-07, + "loss": 0.0011, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 208 + }, + { + "completion_length": 92.3125, + "epoch": 0.2578655151141271, + "grad_norm": 2.892268384425487, + "kl": 0.03411865234375, + "learning_rate": 8.709876543209877e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 209 + }, + { + "completion_length": 92.0625, + "epoch": 0.2590993214065392, + "grad_norm": 0.36263307699540054, + "kl": 0.02984619140625, + "learning_rate": 8.703703703703703e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 210 + }, + { + "completion_length": 100.953125, + "epoch": 0.2603331276989513, + "grad_norm": 13.92828803222089, + "kl": 0.02777099609375, + "learning_rate": 8.697530864197531e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 211 + }, + { + "completion_length": 107.34375, + "epoch": 0.2615669339913634, + "grad_norm": 2.1470941679961846, + "kl": 0.02325439453125, + "learning_rate": 8.691358024691358e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 212 + }, + { + "completion_length": 103.65625, + "epoch": 0.2628007402837754, + "grad_norm": 0.6155358544379622, + "kl": 0.03192138671875, + "learning_rate": 8.685185185185184e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 213 + }, + { + "completion_length": 114.109375, + "epoch": 0.2640345465761875, + "grad_norm": 1.5800937099748629, + "kl": 0.02410888671875, + "learning_rate": 8.679012345679012e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 214 + }, + { + "completion_length": 114.03125, + "epoch": 0.2652683528685996, + "grad_norm": 0.9029160917224633, + "kl": 0.021240234375, + "learning_rate": 8.672839506172839e-07, + "loss": 0.0008, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 215 + }, + { + "completion_length": 111.515625, + "epoch": 0.2665021591610117, + "grad_norm": 3.949462622313132, + "kl": 0.02899169921875, + "learning_rate": 8.666666666666667e-07, + "loss": 0.0012, + "reward": 1.375, + "reward_std": 0.19716878235340118, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.484375, + "step": 216 + }, + { + "completion_length": 122.40625, + "epoch": 0.2677359654534238, + "grad_norm": 1.1779046233108275, + "kl": 0.040771484375, + "learning_rate": 8.660493827160493e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 217 + }, + { + "completion_length": 108.1875, + "epoch": 0.2689697717458359, + "grad_norm": 0.7610416990419067, + "kl": 0.025634765625, + "learning_rate": 8.654320987654321e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 218 + }, + { + "completion_length": 119.59375, + "epoch": 0.270203578038248, + "grad_norm": 2.8080064609783384, + "kl": 0.0252685546875, + "learning_rate": 8.648148148148148e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 219 + }, + { + "completion_length": 128.28125, + "epoch": 0.27143738433066006, + "grad_norm": 0.8510965819270552, + "kl": 0.02362060546875, + "learning_rate": 8.641975308641974e-07, + "loss": 0.0009, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 220 + }, + { + "completion_length": 108.25, + "epoch": 0.27267119062307216, + "grad_norm": 0.3718688006477163, + "kl": 0.025390625, + "learning_rate": 8.635802469135802e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 221 + }, + { + "completion_length": 120.5625, + "epoch": 0.27390499691548426, + "grad_norm": 4.241589286596635, + "kl": 0.02972412109375, + "learning_rate": 8.629629629629629e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 222 + }, + { + "completion_length": 123.96875, + "epoch": 0.27513880320789635, + "grad_norm": 1.0726576713822102, + "kl": 0.02386474609375, + "learning_rate": 8.623456790123457e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 223 + }, + { + "completion_length": 107.359375, + "epoch": 0.27637260950030845, + "grad_norm": 0.152597950050889, + "kl": 0.02752685546875, + "learning_rate": 8.617283950617283e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 224 + }, + { + "completion_length": 121.796875, + "epoch": 0.27760641579272055, + "grad_norm": 3.119512530325868, + "kl": 0.0260009765625, + "learning_rate": 8.611111111111111e-07, + "loss": 0.001, + "reward": 1.421875, + "reward_std": 0.1298343911767006, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 225 + }, + { + "completion_length": 106.84375, + "epoch": 0.27884022208513265, + "grad_norm": 0.10610459271179505, + "kl": 0.023681640625, + "learning_rate": 8.604938271604938e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 226 + }, + { + "completion_length": 114.390625, + "epoch": 0.28007402837754475, + "grad_norm": 2.01011305857028, + "kl": 0.02557373046875, + "learning_rate": 8.598765432098765e-07, + "loss": 0.001, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 227 + }, + { + "completion_length": 109.046875, + "epoch": 0.2813078346699568, + "grad_norm": 0.102104691566505, + "kl": 0.02593994140625, + "learning_rate": 8.592592592592592e-07, + "loss": 0.001, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 228 + }, + { + "completion_length": 124.9375, + "epoch": 0.2825416409623689, + "grad_norm": 1.4669707599549984, + "kl": 0.03167724609375, + "learning_rate": 8.586419753086419e-07, + "loss": 0.0013, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 229 + }, + { + "completion_length": 114.6875, + "epoch": 0.283775447254781, + "grad_norm": 1.01940095115173, + "kl": 0.02911376953125, + "learning_rate": 8.580246913580247e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 230 + }, + { + "completion_length": 119.9375, + "epoch": 0.2850092535471931, + "grad_norm": 0.11268503086354136, + "kl": 0.0257568359375, + "learning_rate": 8.574074074074074e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 231 + }, + { + "completion_length": 101.96875, + "epoch": 0.2862430598396052, + "grad_norm": 2.1821627030607984, + "kl": 0.029052734375, + "learning_rate": 8.567901234567901e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 232 + }, + { + "completion_length": 100.375, + "epoch": 0.2874768661320173, + "grad_norm": 0.9533441313618776, + "kl": 0.03399658203125, + "learning_rate": 8.561728395061728e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 233 + }, + { + "completion_length": 95.03125, + "epoch": 0.2887106724244294, + "grad_norm": 0.1125138818104882, + "kl": 0.0225830078125, + "learning_rate": 8.555555555555555e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 234 + }, + { + "completion_length": 95.828125, + "epoch": 0.2899444787168415, + "grad_norm": 0.9451902075655895, + "kl": 0.03094482421875, + "learning_rate": 8.549382716049382e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 235 + }, + { + "completion_length": 99.875, + "epoch": 0.2911782850092535, + "grad_norm": 0.7450244453750808, + "kl": 0.02783203125, + "learning_rate": 8.543209876543209e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 236 + }, + { + "completion_length": 100.125, + "epoch": 0.2924120913016656, + "grad_norm": 0.13811529904092884, + "kl": 0.024169921875, + "learning_rate": 8.537037037037037e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 237 + }, + { + "completion_length": 99.84375, + "epoch": 0.2936458975940777, + "grad_norm": 0.8840306394909327, + "kl": 0.02716064453125, + "learning_rate": 8.530864197530864e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 238 + }, + { + "completion_length": 81.046875, + "epoch": 0.2948797038864898, + "grad_norm": 1.362316876107362, + "kl": 0.0279541015625, + "learning_rate": 8.524691358024691e-07, + "loss": 0.0011, + "reward": 1.421875, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 239 + }, + { + "completion_length": 94.125, + "epoch": 0.2961135101789019, + "grad_norm": 2.1661404762630947, + "kl": 0.03662109375, + "learning_rate": 8.518518518518518e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 240 + }, + { + "completion_length": 99.78125, + "epoch": 0.297347316471314, + "grad_norm": 0.10994046725795842, + "kl": 0.02490234375, + "learning_rate": 8.512345679012345e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 241 + }, + { + "completion_length": 99.515625, + "epoch": 0.2985811227637261, + "grad_norm": 1.8913578952727663, + "kl": 0.02947998046875, + "learning_rate": 8.506172839506173e-07, + "loss": 0.0012, + "reward": 1.3984375, + "reward_std": 0.171875, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 242 + }, + { + "completion_length": 95.3125, + "epoch": 0.2998149290561382, + "grad_norm": 1.09546786205772, + "kl": 0.03082275390625, + "learning_rate": 8.499999999999999e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 243 + }, + { + "completion_length": 74.328125, + "epoch": 0.30104873534855026, + "grad_norm": 1.5100024937453411, + "kl": 0.029296875, + "learning_rate": 8.493827160493827e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 244 + }, + { + "completion_length": 84.53125, + "epoch": 0.30228254164096235, + "grad_norm": 0.798381096712671, + "kl": 0.02838134765625, + "learning_rate": 8.487654320987654e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 245 + }, + { + "completion_length": 95.765625, + "epoch": 0.30351634793337445, + "grad_norm": 1.4056871065194014, + "kl": 0.0274658203125, + "learning_rate": 8.48148148148148e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 246 + }, + { + "completion_length": 83.0625, + "epoch": 0.30475015422578655, + "grad_norm": 3.21632638091983, + "kl": 0.0384521484375, + "learning_rate": 8.475308641975308e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 247 + }, + { + "completion_length": 82.015625, + "epoch": 0.30598396051819865, + "grad_norm": 0.3705279873021814, + "kl": 0.044677734375, + "learning_rate": 8.469135802469135e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 248 + }, + { + "completion_length": 88.125, + "epoch": 0.30721776681061075, + "grad_norm": 0.8058344745492995, + "kl": 0.03070068359375, + "learning_rate": 8.462962962962963e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 249 + }, + { + "completion_length": 84.640625, + "epoch": 0.30845157310302285, + "grad_norm": 0.7054655009852402, + "kl": 0.0252685546875, + "learning_rate": 8.456790123456789e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 250 + }, + { + "completion_length": 88.84375, + "epoch": 0.3096853793954349, + "grad_norm": 0.12428286351467527, + "kl": 0.0299072265625, + "learning_rate": 8.450617283950617e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 251 + }, + { + "completion_length": 95.109375, + "epoch": 0.310919185687847, + "grad_norm": 1.3768392690769744, + "kl": 0.0333251953125, + "learning_rate": 8.444444444444444e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 252 + }, + { + "completion_length": 98.15625, + "epoch": 0.3121529919802591, + "grad_norm": 0.9719527546172964, + "kl": 0.038330078125, + "learning_rate": 8.438271604938271e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 253 + }, + { + "completion_length": 99.65625, + "epoch": 0.3133867982726712, + "grad_norm": 2.234891191723662, + "kl": 0.0390625, + "learning_rate": 8.432098765432098e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.0767945945262909, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 254 + }, + { + "completion_length": 112.3125, + "epoch": 0.3146206045650833, + "grad_norm": 0.5560449310377436, + "kl": 0.031005859375, + "learning_rate": 8.425925925925925e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 255 + }, + { + "completion_length": 103.640625, + "epoch": 0.3158544108574954, + "grad_norm": 2.569672654740016, + "kl": 0.036865234375, + "learning_rate": 8.419753086419753e-07, + "loss": 0.0015, + "reward": 1.34375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.484375, + "step": 256 + }, + { + "completion_length": 104.171875, + "epoch": 0.3170882171499075, + "grad_norm": 1.048362705398106, + "kl": 0.0367431640625, + "learning_rate": 8.41358024691358e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 257 + }, + { + "completion_length": 98.8125, + "epoch": 0.3183220234423196, + "grad_norm": 0.14247381929505634, + "kl": 0.0286865234375, + "learning_rate": 8.407407407407407e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 258 + }, + { + "completion_length": 87.421875, + "epoch": 0.3195558297347316, + "grad_norm": 0.9519025752890172, + "kl": 0.0277099609375, + "learning_rate": 8.401234567901234e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 259 + }, + { + "completion_length": 106.171875, + "epoch": 0.3207896360271437, + "grad_norm": 1.1879777227910546, + "kl": 0.03271484375, + "learning_rate": 8.395061728395061e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 260 + }, + { + "completion_length": 94.5, + "epoch": 0.3220234423195558, + "grad_norm": 2.3905488976388445, + "kl": 0.0391845703125, + "learning_rate": 8.388888888888888e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 261 + }, + { + "completion_length": 79.390625, + "epoch": 0.3232572486119679, + "grad_norm": 1.4214431012079713, + "kl": 0.02972412109375, + "learning_rate": 8.382716049382715e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 262 + }, + { + "completion_length": 92.859375, + "epoch": 0.32449105490438, + "grad_norm": 0.12243131945509758, + "kl": 0.02490234375, + "learning_rate": 8.376543209876543e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 263 + }, + { + "completion_length": 93.921875, + "epoch": 0.3257248611967921, + "grad_norm": 0.13882769911124548, + "kl": 0.0279541015625, + "learning_rate": 8.37037037037037e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 264 + }, + { + "completion_length": 84.96875, + "epoch": 0.3269586674892042, + "grad_norm": 1.5231561954754678, + "kl": 0.040771484375, + "learning_rate": 8.364197530864197e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 265 + }, + { + "completion_length": 96.359375, + "epoch": 0.3281924737816163, + "grad_norm": 1.0889939479334378, + "kl": 0.033203125, + "learning_rate": 8.358024691358024e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 266 + }, + { + "completion_length": 70.78125, + "epoch": 0.32942628007402835, + "grad_norm": 1.6165176744113465, + "kl": 0.03289794921875, + "learning_rate": 8.351851851851851e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 267 + }, + { + "completion_length": 84.6875, + "epoch": 0.33066008636644045, + "grad_norm": 2.654086789942034, + "kl": 0.03564453125, + "learning_rate": 8.345679012345679e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 268 + }, + { + "completion_length": 87.265625, + "epoch": 0.33189389265885255, + "grad_norm": 6.1898666778960925, + "kl": 0.0362548828125, + "learning_rate": 8.339506172839505e-07, + "loss": 0.0015, + "reward": 1.34375, + "reward_std": 0.1610843911767006, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.5, + "step": 269 + }, + { + "completion_length": 75.359375, + "epoch": 0.33312769895126465, + "grad_norm": 0.23491998280841656, + "kl": 0.0357666015625, + "learning_rate": 8.333333333333333e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 270 + }, + { + "completion_length": 67.609375, + "epoch": 0.33436150524367675, + "grad_norm": 0.29316729948697884, + "kl": 0.047119140625, + "learning_rate": 8.32716049382716e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 271 + }, + { + "completion_length": 77.53125, + "epoch": 0.33559531153608885, + "grad_norm": 0.1649119808872064, + "kl": 0.0333251953125, + "learning_rate": 8.320987654320987e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 272 + }, + { + "completion_length": 89.9375, + "epoch": 0.33682911782850095, + "grad_norm": 0.6906431712838024, + "kl": 0.03759765625, + "learning_rate": 8.314814814814814e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 273 + }, + { + "completion_length": 88.0, + "epoch": 0.33806292412091304, + "grad_norm": 1.8236519275457557, + "kl": 0.0743408203125, + "learning_rate": 8.308641975308641e-07, + "loss": 0.003, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 274 + }, + { + "completion_length": 90.109375, + "epoch": 0.3392967304133251, + "grad_norm": 0.1338863534456492, + "kl": 0.0333251953125, + "learning_rate": 8.302469135802469e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 275 + }, + { + "completion_length": 95.203125, + "epoch": 0.3405305367057372, + "grad_norm": 0.7355319778739802, + "kl": 0.02838134765625, + "learning_rate": 8.296296296296295e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 276 + }, + { + "completion_length": 110.28125, + "epoch": 0.3417643429981493, + "grad_norm": 0.7275009378471291, + "kl": 0.02783203125, + "learning_rate": 8.290123456790123e-07, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 277 + }, + { + "completion_length": 109.125, + "epoch": 0.3429981492905614, + "grad_norm": 1.0089869869870634, + "kl": 0.03369140625, + "learning_rate": 8.28395061728395e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 278 + }, + { + "completion_length": 99.609375, + "epoch": 0.3442319555829735, + "grad_norm": 0.20699539928356767, + "kl": 0.0245361328125, + "learning_rate": 8.277777777777777e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 279 + }, + { + "completion_length": 113.09375, + "epoch": 0.3454657618753856, + "grad_norm": 0.11298698359611624, + "kl": 0.02752685546875, + "learning_rate": 8.271604938271604e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 280 + }, + { + "completion_length": 102.265625, + "epoch": 0.3466995681677977, + "grad_norm": 2.3109103252010703, + "kl": 0.02850341796875, + "learning_rate": 8.265432098765431e-07, + "loss": 0.0011, + "reward": 1.40625, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 281 + }, + { + "completion_length": 107.21875, + "epoch": 0.3479333744602097, + "grad_norm": 0.17952806868963864, + "kl": 0.02850341796875, + "learning_rate": 8.259259259259259e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 282 + }, + { + "completion_length": 97.015625, + "epoch": 0.3491671807526218, + "grad_norm": 0.77378241999928, + "kl": 0.03778076171875, + "learning_rate": 8.253086419753085e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 283 + }, + { + "completion_length": 117.890625, + "epoch": 0.3504009870450339, + "grad_norm": 0.3876575740509508, + "kl": 0.02642822265625, + "learning_rate": 8.246913580246913e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 284 + }, + { + "completion_length": 108.234375, + "epoch": 0.351634793337446, + "grad_norm": 3.409355285547882, + "kl": 0.0452880859375, + "learning_rate": 8.24074074074074e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 285 + }, + { + "completion_length": 118.0, + "epoch": 0.3528685996298581, + "grad_norm": 1.2256701283772542, + "kl": 0.0277099609375, + "learning_rate": 8.234567901234567e-07, + "loss": 0.0011, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 286 + }, + { + "completion_length": 107.921875, + "epoch": 0.3541024059222702, + "grad_norm": 0.7622507520881698, + "kl": 0.03057861328125, + "learning_rate": 8.228395061728394e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 287 + }, + { + "completion_length": 107.4375, + "epoch": 0.3553362122146823, + "grad_norm": 0.10628054381551118, + "kl": 0.0355224609375, + "learning_rate": 8.222222222222221e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 288 + }, + { + "completion_length": 115.484375, + "epoch": 0.3565700185070944, + "grad_norm": 1.1891274633884175, + "kl": 0.02618408203125, + "learning_rate": 8.216049382716049e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4765625, + "step": 289 + }, + { + "completion_length": 113.953125, + "epoch": 0.35780382479950645, + "grad_norm": 0.33566720152455715, + "kl": 0.03228759765625, + "learning_rate": 8.209876543209876e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 290 + }, + { + "completion_length": 113.921875, + "epoch": 0.35903763109191855, + "grad_norm": 0.9645728957920443, + "kl": 0.0391845703125, + "learning_rate": 8.203703703703703e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 291 + }, + { + "completion_length": 111.8125, + "epoch": 0.36027143738433065, + "grad_norm": 1.6311940584905775, + "kl": 0.0313720703125, + "learning_rate": 8.19753086419753e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 292 + }, + { + "completion_length": 109.171875, + "epoch": 0.36150524367674275, + "grad_norm": 1.1857748637819094, + "kl": 0.0380859375, + "learning_rate": 8.191358024691357e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 293 + }, + { + "completion_length": 132.09375, + "epoch": 0.36273904996915485, + "grad_norm": 1.58351438459382, + "kl": 0.02813720703125, + "learning_rate": 8.185185185185185e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 294 + }, + { + "completion_length": 116.21875, + "epoch": 0.36397285626156695, + "grad_norm": 0.935941647960514, + "kl": 0.0318603515625, + "learning_rate": 8.179012345679011e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 295 + }, + { + "completion_length": 116.421875, + "epoch": 0.36520666255397904, + "grad_norm": 0.6556472323479887, + "kl": 0.0369873046875, + "learning_rate": 8.17283950617284e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 296 + }, + { + "completion_length": 107.75, + "epoch": 0.36644046884639114, + "grad_norm": 0.15408070657942932, + "kl": 0.03155517578125, + "learning_rate": 8.166666666666666e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 297 + }, + { + "completion_length": 106.640625, + "epoch": 0.3676742751388032, + "grad_norm": 0.11219502394349387, + "kl": 0.0347900390625, + "learning_rate": 8.160493827160493e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 298 + }, + { + "completion_length": 118.09375, + "epoch": 0.3689080814312153, + "grad_norm": 0.1518721239015485, + "kl": 0.0341796875, + "learning_rate": 8.15432098765432e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 299 + }, + { + "completion_length": 103.734375, + "epoch": 0.3701418877236274, + "grad_norm": 0.1201344278278038, + "kl": 0.03497314453125, + "learning_rate": 8.148148148148147e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 300 + }, + { + "completion_length": 124.203125, + "epoch": 0.3713756940160395, + "grad_norm": 0.9598777261191352, + "kl": 0.030029296875, + "learning_rate": 8.141975308641976e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 301 + }, + { + "completion_length": 114.140625, + "epoch": 0.3726095003084516, + "grad_norm": 1.312106099604609, + "kl": 0.03759765625, + "learning_rate": 8.135802469135801e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 302 + }, + { + "completion_length": 106.359375, + "epoch": 0.3738433066008637, + "grad_norm": 1.4306152976454702, + "kl": 0.039306640625, + "learning_rate": 8.12962962962963e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 303 + }, + { + "completion_length": 114.75, + "epoch": 0.3750771128932758, + "grad_norm": 1.2388036775310052, + "kl": 0.05419921875, + "learning_rate": 8.123456790123457e-07, + "loss": 0.0022, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 304 + }, + { + "completion_length": 114.859375, + "epoch": 0.3763109191856878, + "grad_norm": 1.2183746008949263, + "kl": 0.03436279296875, + "learning_rate": 8.117283950617285e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 305 + }, + { + "completion_length": 105.625, + "epoch": 0.3775447254780999, + "grad_norm": 2.08731585222591, + "kl": 0.046875, + "learning_rate": 8.11111111111111e-07, + "loss": 0.0019, + "reward": 1.3359375, + "reward_std": 0.13708597421646118, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.4765625, + "step": 306 + }, + { + "completion_length": 118.03125, + "epoch": 0.378778531770512, + "grad_norm": 2.1464745162966734, + "kl": 0.02655029296875, + "learning_rate": 8.104938271604938e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 307 + }, + { + "completion_length": 107.515625, + "epoch": 0.3800123380629241, + "grad_norm": 3.0345168237299665, + "kl": 0.03253173828125, + "learning_rate": 8.098765432098766e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 308 + }, + { + "completion_length": 115.25, + "epoch": 0.3812461443553362, + "grad_norm": 0.08735470436068267, + "kl": 0.02764892578125, + "learning_rate": 8.092592592592592e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 309 + }, + { + "completion_length": 110.0, + "epoch": 0.3824799506477483, + "grad_norm": 1.4030843824043246, + "kl": 0.038818359375, + "learning_rate": 8.08641975308642e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 310 + }, + { + "completion_length": 105.1875, + "epoch": 0.3837137569401604, + "grad_norm": 0.8725419005899122, + "kl": 0.039794921875, + "learning_rate": 8.080246913580247e-07, + "loss": 0.0016, + "reward": 1.34375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.84375, + "rewards/format_reward": 0.5, + "step": 311 + }, + { + "completion_length": 110.625, + "epoch": 0.3849475632325725, + "grad_norm": 0.32783261702056293, + "kl": 0.0306396484375, + "learning_rate": 8.074074074074075e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 312 + }, + { + "completion_length": 110.609375, + "epoch": 0.38618136952498455, + "grad_norm": 0.5596611062321236, + "kl": 0.03021240234375, + "learning_rate": 8.067901234567901e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 313 + }, + { + "completion_length": 113.484375, + "epoch": 0.38741517581739665, + "grad_norm": 0.5649753103275257, + "kl": 0.0418701171875, + "learning_rate": 8.061728395061728e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 314 + }, + { + "completion_length": 101.859375, + "epoch": 0.38864898210980875, + "grad_norm": 0.7581562221726408, + "kl": 0.0423583984375, + "learning_rate": 8.055555555555556e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 315 + }, + { + "completion_length": 90.046875, + "epoch": 0.38988278840222085, + "grad_norm": 0.11844554417823297, + "kl": 0.028076171875, + "learning_rate": 8.049382716049383e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 316 + }, + { + "completion_length": 96.84375, + "epoch": 0.39111659469463295, + "grad_norm": 0.13876277953301658, + "kl": 0.0380859375, + "learning_rate": 8.04320987654321e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 317 + }, + { + "completion_length": 106.78125, + "epoch": 0.39235040098704504, + "grad_norm": 4.826461125932491, + "kl": 0.0455322265625, + "learning_rate": 8.037037037037037e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 318 + }, + { + "completion_length": 103.75, + "epoch": 0.39358420727945714, + "grad_norm": 0.2056973112698208, + "kl": 0.0374755859375, + "learning_rate": 8.030864197530864e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 319 + }, + { + "completion_length": 108.6875, + "epoch": 0.39481801357186924, + "grad_norm": 2.297616995886277, + "kl": 0.03363037109375, + "learning_rate": 8.024691358024691e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 320 + }, + { + "completion_length": 103.625, + "epoch": 0.3960518198642813, + "grad_norm": 0.6185158264960239, + "kl": 0.031982421875, + "learning_rate": 8.018518518518518e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 321 + }, + { + "completion_length": 105.46875, + "epoch": 0.3972856261566934, + "grad_norm": 0.8925619857670551, + "kl": 0.0386962890625, + "learning_rate": 8.012345679012346e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 322 + }, + { + "completion_length": 90.078125, + "epoch": 0.3985194324491055, + "grad_norm": 0.25684298115190063, + "kl": 0.02764892578125, + "learning_rate": 8.006172839506173e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 323 + }, + { + "completion_length": 96.25, + "epoch": 0.3997532387415176, + "grad_norm": 1.5712460253515814, + "kl": 0.0533447265625, + "learning_rate": 8e-07, + "loss": 0.0021, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 324 + }, + { + "completion_length": 91.25, + "epoch": 0.4009870450339297, + "grad_norm": 2.9034787525887293, + "kl": 0.0316162109375, + "learning_rate": 7.993827160493827e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 325 + }, + { + "completion_length": 114.875, + "epoch": 0.4022208513263418, + "grad_norm": 1.7248364195979065, + "kl": 0.03759765625, + "learning_rate": 7.987654320987654e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.1298343911767006, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 326 + }, + { + "completion_length": 92.078125, + "epoch": 0.4034546576187539, + "grad_norm": 2.411016844095608, + "kl": 0.0419921875, + "learning_rate": 7.981481481481482e-07, + "loss": 0.0017, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 327 + }, + { + "completion_length": 106.25, + "epoch": 0.404688463911166, + "grad_norm": 0.12555595632000496, + "kl": 0.03125, + "learning_rate": 7.975308641975308e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 328 + }, + { + "completion_length": 90.21875, + "epoch": 0.405922270203578, + "grad_norm": 1.706150428225619, + "kl": 0.02874755859375, + "learning_rate": 7.969135802469136e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 329 + }, + { + "completion_length": 91.8125, + "epoch": 0.4071560764959901, + "grad_norm": 2.8379392889000146, + "kl": 0.037841796875, + "learning_rate": 7.962962962962963e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 330 + }, + { + "completion_length": 87.03125, + "epoch": 0.4083898827884022, + "grad_norm": 0.7080213096110735, + "kl": 0.03460693359375, + "learning_rate": 7.956790123456791e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 331 + }, + { + "completion_length": 93.84375, + "epoch": 0.4096236890808143, + "grad_norm": 0.19080879922262708, + "kl": 0.03302001953125, + "learning_rate": 7.950617283950617e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 332 + }, + { + "completion_length": 95.46875, + "epoch": 0.4108574953732264, + "grad_norm": 0.19570769341053224, + "kl": 0.0445556640625, + "learning_rate": 7.944444444444444e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 333 + }, + { + "completion_length": 99.28125, + "epoch": 0.4120913016656385, + "grad_norm": 94.36005906741694, + "kl": 2.3729248046875, + "learning_rate": 7.938271604938272e-07, + "loss": 0.0956, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 334 + }, + { + "completion_length": 94.5, + "epoch": 0.4133251079580506, + "grad_norm": 3.2451848598297928, + "kl": 0.0362548828125, + "learning_rate": 7.932098765432098e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 335 + }, + { + "completion_length": 94.296875, + "epoch": 0.41455891425046265, + "grad_norm": 0.7454720449191138, + "kl": 0.0367431640625, + "learning_rate": 7.925925925925926e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 336 + }, + { + "completion_length": 91.75, + "epoch": 0.41579272054287475, + "grad_norm": 0.8789624685880375, + "kl": 0.037353515625, + "learning_rate": 7.919753086419753e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 337 + }, + { + "completion_length": 104.671875, + "epoch": 0.41702652683528685, + "grad_norm": 2.8944176075735513, + "kl": 0.0474853515625, + "learning_rate": 7.913580246913581e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 338 + }, + { + "completion_length": 77.125, + "epoch": 0.41826033312769895, + "grad_norm": 2.3287904223637694, + "kl": 0.0521240234375, + "learning_rate": 7.907407407407407e-07, + "loss": 0.0021, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 339 + }, + { + "completion_length": 92.234375, + "epoch": 0.41949413942011105, + "grad_norm": 3.00621614993322, + "kl": 0.0389404296875, + "learning_rate": 7.901234567901234e-07, + "loss": 0.0016, + "reward": 1.3671875, + "reward_std": 0.18991719186306, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4609375, + "step": 340 + }, + { + "completion_length": 105.515625, + "epoch": 0.42072794571252314, + "grad_norm": 2.0542144000546996, + "kl": 0.0418701171875, + "learning_rate": 7.895061728395062e-07, + "loss": 0.0017, + "reward": 1.3515625, + "reward_std": 0.171875, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.4609375, + "step": 341 + }, + { + "completion_length": 96.609375, + "epoch": 0.42196175200493524, + "grad_norm": 1.8402391465192725, + "kl": 0.0421142578125, + "learning_rate": 7.888888888888889e-07, + "loss": 0.0017, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 342 + }, + { + "completion_length": 116.234375, + "epoch": 0.42319555829734734, + "grad_norm": 1.6697732509417476, + "kl": 0.038818359375, + "learning_rate": 7.882716049382716e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 343 + }, + { + "completion_length": 94.75, + "epoch": 0.4244293645897594, + "grad_norm": 2.1345353407845247, + "kl": 0.029052734375, + "learning_rate": 7.876543209876543e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 344 + }, + { + "completion_length": 94.53125, + "epoch": 0.4256631708821715, + "grad_norm": 1.13473341987239, + "kl": 0.036376953125, + "learning_rate": 7.870370370370371e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 345 + }, + { + "completion_length": 88.625, + "epoch": 0.4268969771745836, + "grad_norm": 5.929297920151606, + "kl": 0.0440673828125, + "learning_rate": 7.864197530864197e-07, + "loss": 0.0018, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 346 + }, + { + "completion_length": 95.828125, + "epoch": 0.4281307834669957, + "grad_norm": 3.706327779643451, + "kl": 0.0283203125, + "learning_rate": 7.858024691358024e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 347 + }, + { + "completion_length": 90.953125, + "epoch": 0.4293645897594078, + "grad_norm": 1.1513788825307198, + "kl": 0.03369140625, + "learning_rate": 7.851851851851852e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.07057205587625504, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 348 + }, + { + "completion_length": 92.265625, + "epoch": 0.4305983960518199, + "grad_norm": 2.996947178301085, + "kl": 0.05291748046875, + "learning_rate": 7.845679012345679e-07, + "loss": 0.0021, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 349 + }, + { + "completion_length": 76.84375, + "epoch": 0.431832202344232, + "grad_norm": 1.5198319988313809, + "kl": 0.047607421875, + "learning_rate": 7.839506172839506e-07, + "loss": 0.0019, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 350 + }, + { + "completion_length": 101.328125, + "epoch": 0.4330660086366441, + "grad_norm": 1.545046601497342, + "kl": 0.037841796875, + "learning_rate": 7.833333333333333e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 351 + }, + { + "completion_length": 94.15625, + "epoch": 0.4342998149290561, + "grad_norm": 4.517333348041995, + "kl": 0.035400390625, + "learning_rate": 7.82716049382716e-07, + "loss": 0.0014, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 352 + }, + { + "completion_length": 93.59375, + "epoch": 0.4355336212214682, + "grad_norm": 1.5151117360085922, + "kl": 0.03155517578125, + "learning_rate": 7.820987654320988e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 353 + }, + { + "completion_length": 89.671875, + "epoch": 0.4367674275138803, + "grad_norm": 1.217135417717019, + "kl": 0.034423828125, + "learning_rate": 7.814814814814814e-07, + "loss": 0.0014, + "reward": 1.375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 354 + }, + { + "completion_length": 99.671875, + "epoch": 0.4380012338062924, + "grad_norm": 0.9990136067526295, + "kl": 0.0426025390625, + "learning_rate": 7.808641975308642e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 355 + }, + { + "completion_length": 83.578125, + "epoch": 0.4392350400987045, + "grad_norm": 1.6015323930284124, + "kl": 0.037109375, + "learning_rate": 7.802469135802469e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 356 + }, + { + "completion_length": 83.671875, + "epoch": 0.4404688463911166, + "grad_norm": 1.0507324310367392, + "kl": 0.036376953125, + "learning_rate": 7.796296296296296e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 357 + }, + { + "completion_length": 83.84375, + "epoch": 0.4417026526835287, + "grad_norm": 0.13901710461679817, + "kl": 0.034423828125, + "learning_rate": 7.790123456790123e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 358 + }, + { + "completion_length": 106.0, + "epoch": 0.44293645897594075, + "grad_norm": 0.13957009433859577, + "kl": 0.0341796875, + "learning_rate": 7.78395061728395e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 359 + }, + { + "completion_length": 108.546875, + "epoch": 0.44417026526835285, + "grad_norm": 0.9473099627495285, + "kl": 0.0372314453125, + "learning_rate": 7.777777777777778e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 360 + }, + { + "completion_length": 102.015625, + "epoch": 0.44540407156076495, + "grad_norm": 0.8865352127549287, + "kl": 0.0335693359375, + "learning_rate": 7.771604938271604e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 361 + }, + { + "completion_length": 101.296875, + "epoch": 0.44663787785317705, + "grad_norm": 0.23970707276422162, + "kl": 0.02972412109375, + "learning_rate": 7.765432098765432e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 362 + }, + { + "completion_length": 96.875, + "epoch": 0.44787168414558914, + "grad_norm": 1.6341854153827389, + "kl": 0.0372314453125, + "learning_rate": 7.759259259259259e-07, + "loss": 0.0015, + "reward": 1.3671875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.4921875, + "step": 363 + }, + { + "completion_length": 103.65625, + "epoch": 0.44910549043800124, + "grad_norm": 0.1351436200893501, + "kl": 0.0308837890625, + "learning_rate": 7.753086419753087e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 364 + }, + { + "completion_length": 104.6875, + "epoch": 0.45033929673041334, + "grad_norm": 0.14418306811747159, + "kl": 0.03094482421875, + "learning_rate": 7.746913580246913e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 365 + }, + { + "completion_length": 104.53125, + "epoch": 0.45157310302282544, + "grad_norm": 1.0374667196743053, + "kl": 0.0369873046875, + "learning_rate": 7.74074074074074e-07, + "loss": 0.0015, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 366 + }, + { + "completion_length": 107.15625, + "epoch": 0.4528069093152375, + "grad_norm": 0.4780426583329873, + "kl": 0.0306396484375, + "learning_rate": 7.734567901234568e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 367 + }, + { + "completion_length": 101.203125, + "epoch": 0.4540407156076496, + "grad_norm": 1.5973152256219447, + "kl": 0.03765869140625, + "learning_rate": 7.728395061728394e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 368 + }, + { + "completion_length": 101.390625, + "epoch": 0.4552745219000617, + "grad_norm": 0.1382621873425396, + "kl": 0.03546142578125, + "learning_rate": 7.722222222222222e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 369 + }, + { + "completion_length": 107.671875, + "epoch": 0.4565083281924738, + "grad_norm": 0.9960899513667455, + "kl": 0.034912109375, + "learning_rate": 7.716049382716049e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 370 + }, + { + "completion_length": 112.890625, + "epoch": 0.4577421344848859, + "grad_norm": 0.1935168853295157, + "kl": 0.035888671875, + "learning_rate": 7.709876543209877e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 371 + }, + { + "completion_length": 90.40625, + "epoch": 0.458975940777298, + "grad_norm": 0.11246549215146472, + "kl": 0.037353515625, + "learning_rate": 7.703703703703703e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 372 + }, + { + "completion_length": 104.359375, + "epoch": 0.4602097470697101, + "grad_norm": 0.10607984707206873, + "kl": 0.031005859375, + "learning_rate": 7.69753086419753e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 373 + }, + { + "completion_length": 106.53125, + "epoch": 0.46144355336212217, + "grad_norm": 2.2199838043160622, + "kl": 0.03521728515625, + "learning_rate": 7.691358024691358e-07, + "loss": 0.0014, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 374 + }, + { + "completion_length": 109.4375, + "epoch": 0.4626773596545342, + "grad_norm": 1.4498520254296168, + "kl": 0.0333251953125, + "learning_rate": 7.685185185185185e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 375 + }, + { + "completion_length": 93.875, + "epoch": 0.4639111659469463, + "grad_norm": 1.6478500657565187, + "kl": 0.03271484375, + "learning_rate": 7.679012345679012e-07, + "loss": 0.0013, + "reward": 1.40625, + "reward_std": 0.13466878235340118, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 376 + }, + { + "completion_length": 108.3125, + "epoch": 0.4651449722393584, + "grad_norm": 1.5253531179764708, + "kl": 0.02740478515625, + "learning_rate": 7.672839506172839e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 377 + }, + { + "completion_length": 103.8125, + "epoch": 0.4663787785317705, + "grad_norm": 0.12474585867095289, + "kl": 0.0291748046875, + "learning_rate": 7.666666666666667e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 378 + }, + { + "completion_length": 93.15625, + "epoch": 0.4676125848241826, + "grad_norm": 0.174457190691226, + "kl": 0.03192138671875, + "learning_rate": 7.660493827160494e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 379 + }, + { + "completion_length": 90.25, + "epoch": 0.4688463911165947, + "grad_norm": 1.43168062797368, + "kl": 0.03668212890625, + "learning_rate": 7.65432098765432e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 380 + }, + { + "completion_length": 110.828125, + "epoch": 0.4700801974090068, + "grad_norm": 1.5308912672497321, + "kl": 0.02972412109375, + "learning_rate": 7.648148148148148e-07, + "loss": 0.0012, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 381 + }, + { + "completion_length": 111.125, + "epoch": 0.4713140037014189, + "grad_norm": 3.2746361892569578, + "kl": 0.0345458984375, + "learning_rate": 7.641975308641975e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 382 + }, + { + "completion_length": 109.109375, + "epoch": 0.47254780999383095, + "grad_norm": 0.1959938526603289, + "kl": 0.03326416015625, + "learning_rate": 7.635802469135802e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 383 + }, + { + "completion_length": 113.09375, + "epoch": 0.47378161628624305, + "grad_norm": 1.1323741716109788, + "kl": 0.032958984375, + "learning_rate": 7.629629629629629e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 384 + }, + { + "completion_length": 93.75, + "epoch": 0.47501542257865514, + "grad_norm": 0.19289422862021985, + "kl": 0.030029296875, + "learning_rate": 7.623456790123457e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 385 + }, + { + "completion_length": 93.359375, + "epoch": 0.47624922887106724, + "grad_norm": 1.7916714584986824, + "kl": 0.03143310546875, + "learning_rate": 7.617283950617284e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 386 + }, + { + "completion_length": 112.375, + "epoch": 0.47748303516347934, + "grad_norm": 4.221385866403513, + "kl": 0.0323486328125, + "learning_rate": 7.61111111111111e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 387 + }, + { + "completion_length": 109.5, + "epoch": 0.47871684145589144, + "grad_norm": 1.6250035629353075, + "kl": 0.0286865234375, + "learning_rate": 7.604938271604938e-07, + "loss": 0.0011, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 388 + }, + { + "completion_length": 101.71875, + "epoch": 0.47995064774830354, + "grad_norm": 1.2485179291690656, + "kl": 0.03759765625, + "learning_rate": 7.598765432098765e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 389 + }, + { + "completion_length": 112.40625, + "epoch": 0.4811844540407156, + "grad_norm": 0.9874833014314521, + "kl": 0.0333251953125, + "learning_rate": 7.592592592592593e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 390 + }, + { + "completion_length": 106.34375, + "epoch": 0.4824182603331277, + "grad_norm": 0.12692250406594965, + "kl": 0.02996826171875, + "learning_rate": 7.586419753086419e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 391 + }, + { + "completion_length": 98.453125, + "epoch": 0.4836520666255398, + "grad_norm": 5.508362138721079, + "kl": 0.03662109375, + "learning_rate": 7.580246913580246e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 392 + }, + { + "completion_length": 96.890625, + "epoch": 0.4848858729179519, + "grad_norm": 0.795968012612445, + "kl": 0.0377197265625, + "learning_rate": 7.574074074074074e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 393 + }, + { + "completion_length": 104.5625, + "epoch": 0.486119679210364, + "grad_norm": 0.14130680454948635, + "kl": 0.036376953125, + "learning_rate": 7.5679012345679e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 394 + }, + { + "completion_length": 102.8125, + "epoch": 0.4873534855027761, + "grad_norm": 0.14568325972804572, + "kl": 0.0350341796875, + "learning_rate": 7.561728395061728e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 395 + }, + { + "completion_length": 102.09375, + "epoch": 0.48858729179518817, + "grad_norm": 1.095669733955308, + "kl": 0.0374755859375, + "learning_rate": 7.555555555555555e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 396 + }, + { + "completion_length": 112.671875, + "epoch": 0.48982109808760027, + "grad_norm": 0.7648864309796235, + "kl": 0.03955078125, + "learning_rate": 7.549382716049383e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 397 + }, + { + "completion_length": 110.828125, + "epoch": 0.4910549043800123, + "grad_norm": 0.8393076216316355, + "kl": 0.0308837890625, + "learning_rate": 7.543209876543209e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 398 + }, + { + "completion_length": 98.5625, + "epoch": 0.4922887106724244, + "grad_norm": 1.1762577440464237, + "kl": 0.031005859375, + "learning_rate": 7.537037037037036e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 399 + }, + { + "completion_length": 101.796875, + "epoch": 0.4935225169648365, + "grad_norm": 1.5824610332887101, + "kl": 0.042236328125, + "learning_rate": 7.530864197530864e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 400 + }, + { + "completion_length": 121.765625, + "epoch": 0.4947563232572486, + "grad_norm": 1.8286921966142833, + "kl": 0.03204345703125, + "learning_rate": 7.524691358024691e-07, + "loss": 0.0013, + "reward": 1.421875, + "reward_std": 0.10341878235340118, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 401 + }, + { + "completion_length": 100.046875, + "epoch": 0.4959901295496607, + "grad_norm": 1.5385750443707533, + "kl": 0.0599365234375, + "learning_rate": 7.518518518518518e-07, + "loss": 0.0024, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 402 + }, + { + "completion_length": 105.90625, + "epoch": 0.4972239358420728, + "grad_norm": 0.8101128969952909, + "kl": 0.0374755859375, + "learning_rate": 7.512345679012345e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 403 + }, + { + "completion_length": 105.78125, + "epoch": 0.4984577421344849, + "grad_norm": 0.1910824228188204, + "kl": 0.0362548828125, + "learning_rate": 7.506172839506173e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 404 + }, + { + "completion_length": 104.328125, + "epoch": 0.499691548426897, + "grad_norm": 0.6145109800330038, + "kl": 0.0333251953125, + "learning_rate": 7.5e-07, + "loss": 0.0013, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 405 + }, + { + "completion_length": 89.453125, + "epoch": 0.5009253547193091, + "grad_norm": 0.16657824205345234, + "kl": 0.0340576171875, + "learning_rate": 7.493827160493826e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 406 + }, + { + "completion_length": 104.078125, + "epoch": 0.5021591610117212, + "grad_norm": 0.20413927801266737, + "kl": 0.039794921875, + "learning_rate": 7.487654320987654e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 407 + }, + { + "completion_length": 102.71875, + "epoch": 0.5033929673041333, + "grad_norm": 0.8933133563018772, + "kl": 0.0361328125, + "learning_rate": 7.481481481481481e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 408 + }, + { + "completion_length": 109.453125, + "epoch": 0.5046267735965454, + "grad_norm": 1.2258093860057382, + "kl": 0.037841796875, + "learning_rate": 7.475308641975308e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 409 + }, + { + "completion_length": 105.03125, + "epoch": 0.5058605798889574, + "grad_norm": 2.2758021044967354, + "kl": 0.0369873046875, + "learning_rate": 7.469135802469135e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 410 + }, + { + "completion_length": 113.65625, + "epoch": 0.5070943861813695, + "grad_norm": 0.11788221074668948, + "kl": 0.0313720703125, + "learning_rate": 7.462962962962963e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 411 + }, + { + "completion_length": 115.859375, + "epoch": 0.5083281924737816, + "grad_norm": 2.740619572589042, + "kl": 0.04156494140625, + "learning_rate": 7.45679012345679e-07, + "loss": 0.0017, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 412 + }, + { + "completion_length": 102.734375, + "epoch": 0.5095619987661937, + "grad_norm": 0.1206036672528074, + "kl": 0.02685546875, + "learning_rate": 7.450617283950616e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 413 + }, + { + "completion_length": 101.671875, + "epoch": 0.5107958050586058, + "grad_norm": 0.14165506332779973, + "kl": 0.0302734375, + "learning_rate": 7.444444444444444e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 414 + }, + { + "completion_length": 106.875, + "epoch": 0.5120296113510179, + "grad_norm": 1.0916585422775806, + "kl": 0.037841796875, + "learning_rate": 7.438271604938271e-07, + "loss": 0.0015, + "reward": 1.40625, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 415 + }, + { + "completion_length": 91.84375, + "epoch": 0.51326341764343, + "grad_norm": 0.5100860693114542, + "kl": 0.0316162109375, + "learning_rate": 7.432098765432099e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 416 + }, + { + "completion_length": 99.515625, + "epoch": 0.5144972239358421, + "grad_norm": 1.9397381917561676, + "kl": 0.03082275390625, + "learning_rate": 7.425925925925925e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 417 + }, + { + "completion_length": 107.75, + "epoch": 0.5157310302282542, + "grad_norm": 1.593571982316367, + "kl": 0.0361328125, + "learning_rate": 7.419753086419753e-07, + "loss": 0.0014, + "reward": 1.3984375, + "reward_std": 0.07057205587625504, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 418 + }, + { + "completion_length": 107.890625, + "epoch": 0.5169648365206663, + "grad_norm": 1.5060653335906566, + "kl": 0.0321044921875, + "learning_rate": 7.41358024691358e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.029919598251581192, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 419 + }, + { + "completion_length": 94.4375, + "epoch": 0.5181986428130784, + "grad_norm": 0.16233217438617362, + "kl": 0.038818359375, + "learning_rate": 7.407407407407406e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 420 + }, + { + "completion_length": 111.453125, + "epoch": 0.5194324491054905, + "grad_norm": 2.1022197751361156, + "kl": 0.04998779296875, + "learning_rate": 7.401234567901234e-07, + "loss": 0.002, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 421 + }, + { + "completion_length": 106.484375, + "epoch": 0.5206662553979026, + "grad_norm": 0.12073888264322984, + "kl": 0.0404052734375, + "learning_rate": 7.395061728395061e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 422 + }, + { + "completion_length": 111.734375, + "epoch": 0.5219000616903147, + "grad_norm": 0.8545164645800863, + "kl": 0.038818359375, + "learning_rate": 7.388888888888889e-07, + "loss": 0.0016, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 423 + }, + { + "completion_length": 113.078125, + "epoch": 0.5231338679827268, + "grad_norm": 0.355915456852108, + "kl": 0.0330810546875, + "learning_rate": 7.382716049382715e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 424 + }, + { + "completion_length": 114.296875, + "epoch": 0.5243676742751388, + "grad_norm": 0.1081676258746828, + "kl": 0.02789306640625, + "learning_rate": 7.376543209876542e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 425 + }, + { + "completion_length": 104.921875, + "epoch": 0.5256014805675508, + "grad_norm": 1.6307475473728836, + "kl": 0.0350341796875, + "learning_rate": 7.37037037037037e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 426 + }, + { + "completion_length": 97.703125, + "epoch": 0.526835286859963, + "grad_norm": 1.1060759775809033, + "kl": 0.0330810546875, + "learning_rate": 7.364197530864197e-07, + "loss": 0.0013, + "reward": 1.375, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 427 + }, + { + "completion_length": 117.046875, + "epoch": 0.528069093152375, + "grad_norm": 1.9194662075451667, + "kl": 0.034912109375, + "learning_rate": 7.358024691358024e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 428 + }, + { + "completion_length": 108.421875, + "epoch": 0.5293028994447871, + "grad_norm": 1.7557258114509284, + "kl": 0.0419921875, + "learning_rate": 7.351851851851851e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 429 + }, + { + "completion_length": 124.6875, + "epoch": 0.5305367057371992, + "grad_norm": 0.14943155598011326, + "kl": 0.0390625, + "learning_rate": 7.345679012345679e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 430 + }, + { + "completion_length": 112.015625, + "epoch": 0.5317705120296113, + "grad_norm": 2.716496614553637, + "kl": 0.041748046875, + "learning_rate": 7.339506172839505e-07, + "loss": 0.0017, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 431 + }, + { + "completion_length": 124.203125, + "epoch": 0.5330043183220234, + "grad_norm": 0.5846048824832558, + "kl": 0.03057861328125, + "learning_rate": 7.333333333333332e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 432 + }, + { + "completion_length": 112.53125, + "epoch": 0.5342381246144355, + "grad_norm": 1.1507930449944663, + "kl": 0.03515625, + "learning_rate": 7.32716049382716e-07, + "loss": 0.0014, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 433 + }, + { + "completion_length": 120.515625, + "epoch": 0.5354719309068476, + "grad_norm": 1.0009738311528362, + "kl": 0.02911376953125, + "learning_rate": 7.320987654320987e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 434 + }, + { + "completion_length": 124.875, + "epoch": 0.5367057371992597, + "grad_norm": 0.09574981341466597, + "kl": 0.03338623046875, + "learning_rate": 7.314814814814814e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 435 + }, + { + "completion_length": 113.15625, + "epoch": 0.5379395434916718, + "grad_norm": 2.0967620399532043, + "kl": 0.0341796875, + "learning_rate": 7.308641975308641e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 436 + }, + { + "completion_length": 123.03125, + "epoch": 0.5391733497840839, + "grad_norm": 0.8284663008942426, + "kl": 0.04010009765625, + "learning_rate": 7.302469135802469e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 437 + }, + { + "completion_length": 121.578125, + "epoch": 0.540407156076496, + "grad_norm": 2.2126331603295926, + "kl": 0.037841796875, + "learning_rate": 7.296296296296296e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 438 + }, + { + "completion_length": 103.296875, + "epoch": 0.5416409623689081, + "grad_norm": 0.6373232988105797, + "kl": 0.027587890625, + "learning_rate": 7.290123456790122e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 439 + }, + { + "completion_length": 107.59375, + "epoch": 0.5428747686613201, + "grad_norm": 0.08525136032582374, + "kl": 0.04150390625, + "learning_rate": 7.28395061728395e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 440 + }, + { + "completion_length": 110.921875, + "epoch": 0.5441085749537322, + "grad_norm": 0.09805958132057753, + "kl": 0.0299072265625, + "learning_rate": 7.277777777777777e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 441 + }, + { + "completion_length": 109.703125, + "epoch": 0.5453423812461443, + "grad_norm": 0.8333896914094041, + "kl": 0.037353515625, + "learning_rate": 7.271604938271605e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 442 + }, + { + "completion_length": 122.03125, + "epoch": 0.5465761875385564, + "grad_norm": 0.6432774526790864, + "kl": 0.038330078125, + "learning_rate": 7.265432098765431e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 443 + }, + { + "completion_length": 121.953125, + "epoch": 0.5478099938309685, + "grad_norm": 0.170274741698066, + "kl": 0.04345703125, + "learning_rate": 7.259259259259259e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 444 + }, + { + "completion_length": 126.046875, + "epoch": 0.5490438001233806, + "grad_norm": 0.11521750439414052, + "kl": 0.0377197265625, + "learning_rate": 7.253086419753086e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 445 + }, + { + "completion_length": 111.328125, + "epoch": 0.5502776064157927, + "grad_norm": 0.19942709665092612, + "kl": 0.0390625, + "learning_rate": 7.246913580246912e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 446 + }, + { + "completion_length": 118.265625, + "epoch": 0.5515114127082048, + "grad_norm": 5.234042568041391, + "kl": 0.03515625, + "learning_rate": 7.24074074074074e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 447 + }, + { + "completion_length": 107.453125, + "epoch": 0.5527452190006169, + "grad_norm": 1.3615305321556572, + "kl": 0.041748046875, + "learning_rate": 7.234567901234567e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 448 + }, + { + "completion_length": 116.078125, + "epoch": 0.553979025293029, + "grad_norm": 0.10153861873873482, + "kl": 0.0367431640625, + "learning_rate": 7.228395061728395e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 449 + }, + { + "completion_length": 89.859375, + "epoch": 0.5552128315854411, + "grad_norm": 0.8889982981582901, + "kl": 0.0350341796875, + "learning_rate": 7.222222222222221e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 450 + }, + { + "completion_length": 126.6875, + "epoch": 0.5564466378778532, + "grad_norm": 1.0351433495665627, + "kl": 0.033447265625, + "learning_rate": 7.21604938271605e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 451 + }, + { + "completion_length": 107.53125, + "epoch": 0.5576804441702653, + "grad_norm": 0.17092682008053364, + "kl": 0.03118896484375, + "learning_rate": 7.209876543209876e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 452 + }, + { + "completion_length": 114.546875, + "epoch": 0.5589142504626774, + "grad_norm": 1.2460586266757607, + "kl": 0.0377197265625, + "learning_rate": 7.203703703703703e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 453 + }, + { + "completion_length": 111.71875, + "epoch": 0.5601480567550895, + "grad_norm": 5.513468652358379, + "kl": 0.04638671875, + "learning_rate": 7.19753086419753e-07, + "loss": 0.0019, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 454 + }, + { + "completion_length": 93.234375, + "epoch": 0.5613818630475016, + "grad_norm": 0.18634338579978432, + "kl": 0.0361328125, + "learning_rate": 7.191358024691357e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 455 + }, + { + "completion_length": 113.296875, + "epoch": 0.5626156693399136, + "grad_norm": 0.12109828256888329, + "kl": 0.035400390625, + "learning_rate": 7.185185185185186e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 456 + }, + { + "completion_length": 112.90625, + "epoch": 0.5638494756323257, + "grad_norm": 2.6162805356839254, + "kl": 0.034423828125, + "learning_rate": 7.179012345679011e-07, + "loss": 0.0014, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 457 + }, + { + "completion_length": 116.671875, + "epoch": 0.5650832819247378, + "grad_norm": 0.6901453588665127, + "kl": 0.02880859375, + "learning_rate": 7.17283950617284e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 458 + }, + { + "completion_length": 110.09375, + "epoch": 0.5663170882171499, + "grad_norm": 0.9932405010189939, + "kl": 0.0303955078125, + "learning_rate": 7.166666666666667e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 459 + }, + { + "completion_length": 109.734375, + "epoch": 0.567550894509562, + "grad_norm": 2.0928294441175868, + "kl": 0.04541015625, + "learning_rate": 7.160493827160494e-07, + "loss": 0.0018, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 460 + }, + { + "completion_length": 111.234375, + "epoch": 0.5687847008019741, + "grad_norm": 2.3393458629804798, + "kl": 0.03912353515625, + "learning_rate": 7.15432098765432e-07, + "loss": 0.0016, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 461 + }, + { + "completion_length": 110.78125, + "epoch": 0.5700185070943862, + "grad_norm": 0.9220340499104741, + "kl": 0.038330078125, + "learning_rate": 7.148148148148148e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 462 + }, + { + "completion_length": 100.125, + "epoch": 0.5712523133867983, + "grad_norm": 0.6593044271665618, + "kl": 0.0284423828125, + "learning_rate": 7.141975308641976e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 463 + }, + { + "completion_length": 96.46875, + "epoch": 0.5724861196792104, + "grad_norm": 2.0047135977525743, + "kl": 0.02691650390625, + "learning_rate": 7.135802469135803e-07, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 464 + }, + { + "completion_length": 111.34375, + "epoch": 0.5737199259716225, + "grad_norm": 1.5629719631204386, + "kl": 0.03277587890625, + "learning_rate": 7.129629629629629e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 465 + }, + { + "completion_length": 95.25, + "epoch": 0.5749537322640346, + "grad_norm": 0.30843206843760007, + "kl": 0.036865234375, + "learning_rate": 7.123456790123457e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 466 + }, + { + "completion_length": 102.265625, + "epoch": 0.5761875385564467, + "grad_norm": 1.3819366740474035, + "kl": 0.03369140625, + "learning_rate": 7.117283950617284e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 467 + }, + { + "completion_length": 100.546875, + "epoch": 0.5774213448488588, + "grad_norm": 0.8857800301406399, + "kl": 0.0347900390625, + "learning_rate": 7.111111111111111e-07, + "loss": 0.0014, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 468 + }, + { + "completion_length": 115.90625, + "epoch": 0.5786551511412709, + "grad_norm": 0.11511955384645207, + "kl": 0.02978515625, + "learning_rate": 7.104938271604938e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 469 + }, + { + "completion_length": 101.453125, + "epoch": 0.579888957433683, + "grad_norm": 1.2172794415682382, + "kl": 0.036376953125, + "learning_rate": 7.098765432098766e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 470 + }, + { + "completion_length": 114.578125, + "epoch": 0.581122763726095, + "grad_norm": 0.97944704549122, + "kl": 0.03448486328125, + "learning_rate": 7.092592592592593e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 471 + }, + { + "completion_length": 101.625, + "epoch": 0.582356570018507, + "grad_norm": 0.3641811640464067, + "kl": 0.03448486328125, + "learning_rate": 7.086419753086419e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 472 + }, + { + "completion_length": 87.765625, + "epoch": 0.5835903763109191, + "grad_norm": 0.13083955927031402, + "kl": 0.032470703125, + "learning_rate": 7.080246913580247e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 473 + }, + { + "completion_length": 94.625, + "epoch": 0.5848241826033312, + "grad_norm": 0.25644875135623374, + "kl": 0.03668212890625, + "learning_rate": 7.074074074074074e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 474 + }, + { + "completion_length": 103.203125, + "epoch": 0.5860579888957433, + "grad_norm": 1.0086941252004196, + "kl": 0.03216552734375, + "learning_rate": 7.067901234567902e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 475 + }, + { + "completion_length": 103.796875, + "epoch": 0.5872917951881554, + "grad_norm": 0.18059575618693471, + "kl": 0.02880859375, + "learning_rate": 7.061728395061728e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 476 + }, + { + "completion_length": 102.734375, + "epoch": 0.5885256014805675, + "grad_norm": 1.326923849560059, + "kl": 0.03167724609375, + "learning_rate": 7.055555555555556e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 477 + }, + { + "completion_length": 110.578125, + "epoch": 0.5897594077729796, + "grad_norm": 0.18057468346093894, + "kl": 0.03277587890625, + "learning_rate": 7.049382716049383e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 478 + }, + { + "completion_length": 103.4375, + "epoch": 0.5909932140653917, + "grad_norm": 0.10601538963198394, + "kl": 0.02679443359375, + "learning_rate": 7.043209876543209e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 479 + }, + { + "completion_length": 94.25, + "epoch": 0.5922270203578038, + "grad_norm": 0.09230529952831874, + "kl": 0.030029296875, + "learning_rate": 7.037037037037037e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 480 + }, + { + "completion_length": 114.53125, + "epoch": 0.5934608266502159, + "grad_norm": 1.6663096643888975, + "kl": 0.0377197265625, + "learning_rate": 7.030864197530864e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 481 + }, + { + "completion_length": 106.671875, + "epoch": 0.594694632942628, + "grad_norm": 0.764672975210206, + "kl": 0.03759765625, + "learning_rate": 7.024691358024692e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 482 + }, + { + "completion_length": 109.671875, + "epoch": 0.5959284392350401, + "grad_norm": 6.0661389792265705, + "kl": 0.033447265625, + "learning_rate": 7.018518518518518e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 483 + }, + { + "completion_length": 107.8125, + "epoch": 0.5971622455274522, + "grad_norm": 1.6466772882151068, + "kl": 0.033935546875, + "learning_rate": 7.012345679012346e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 484 + }, + { + "completion_length": 107.484375, + "epoch": 0.5983960518198643, + "grad_norm": 0.10564993420836505, + "kl": 0.02960205078125, + "learning_rate": 7.006172839506173e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 485 + }, + { + "completion_length": 112.0, + "epoch": 0.5996298581122764, + "grad_norm": 1.0990407713412051, + "kl": 0.03021240234375, + "learning_rate": 7e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 486 + }, + { + "completion_length": 107.765625, + "epoch": 0.6008636644046884, + "grad_norm": 1.9341427403801685, + "kl": 0.0296630859375, + "learning_rate": 6.993827160493827e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 487 + }, + { + "completion_length": 103.515625, + "epoch": 0.6020974706971005, + "grad_norm": 0.22100563379056812, + "kl": 0.02532958984375, + "learning_rate": 6.987654320987654e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 488 + }, + { + "completion_length": 97.5, + "epoch": 0.6033312769895126, + "grad_norm": 0.10839933198900521, + "kl": 0.03057861328125, + "learning_rate": 6.981481481481482e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 489 + }, + { + "completion_length": 103.5625, + "epoch": 0.6045650832819247, + "grad_norm": 6.334611331511861, + "kl": 0.039794921875, + "learning_rate": 6.975308641975309e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 490 + }, + { + "completion_length": 102.1875, + "epoch": 0.6057988895743368, + "grad_norm": 1.6042515088454408, + "kl": 0.0330810546875, + "learning_rate": 6.969135802469136e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 491 + }, + { + "completion_length": 94.484375, + "epoch": 0.6070326958667489, + "grad_norm": 0.1827143126799403, + "kl": 0.031982421875, + "learning_rate": 6.962962962962963e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 492 + }, + { + "completion_length": 101.75, + "epoch": 0.608266502159161, + "grad_norm": 0.15291938301965333, + "kl": 0.03125, + "learning_rate": 6.95679012345679e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 493 + }, + { + "completion_length": 116.5625, + "epoch": 0.6095003084515731, + "grad_norm": 0.1258199506638142, + "kl": 0.032958984375, + "learning_rate": 6.950617283950617e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 494 + }, + { + "completion_length": 93.875, + "epoch": 0.6107341147439852, + "grad_norm": 0.12254538971657326, + "kl": 0.02618408203125, + "learning_rate": 6.944444444444444e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 495 + }, + { + "completion_length": 105.4375, + "epoch": 0.6119679210363973, + "grad_norm": 0.8864120169469207, + "kl": 0.02880859375, + "learning_rate": 6.938271604938272e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 496 + }, + { + "completion_length": 94.78125, + "epoch": 0.6132017273288094, + "grad_norm": 0.17228775589634576, + "kl": 0.0263671875, + "learning_rate": 6.932098765432099e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 497 + }, + { + "completion_length": 106.140625, + "epoch": 0.6144355336212215, + "grad_norm": 0.12753855740863163, + "kl": 0.02490234375, + "learning_rate": 6.925925925925925e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 498 + }, + { + "completion_length": 106.421875, + "epoch": 0.6156693399136336, + "grad_norm": 0.2217270122636105, + "kl": 0.0311279296875, + "learning_rate": 6.919753086419753e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 499 + }, + { + "completion_length": 116.921875, + "epoch": 0.6169031462060457, + "grad_norm": 3.2253246932929174, + "kl": 0.04119873046875, + "learning_rate": 6.91358024691358e-07, + "loss": 0.0017, + "reward": 1.3671875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.4921875, + "step": 500 + }, + { + "completion_length": 121.46875, + "epoch": 0.6181369524984578, + "grad_norm": 2.495799844091578, + "kl": 0.041259765625, + "learning_rate": 6.907407407407408e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 501 + }, + { + "completion_length": 110.265625, + "epoch": 0.6193707587908698, + "grad_norm": 0.13645965020434822, + "kl": 0.03228759765625, + "learning_rate": 6.901234567901234e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 502 + }, + { + "completion_length": 100.921875, + "epoch": 0.6206045650832819, + "grad_norm": 0.7133668615950521, + "kl": 0.035400390625, + "learning_rate": 6.895061728395062e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 503 + }, + { + "completion_length": 99.671875, + "epoch": 0.621838371375694, + "grad_norm": 0.31303996888486485, + "kl": 0.034423828125, + "learning_rate": 6.888888888888889e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 504 + }, + { + "completion_length": 108.984375, + "epoch": 0.6230721776681061, + "grad_norm": 0.8078285216925571, + "kl": 0.03424072265625, + "learning_rate": 6.882716049382715e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 505 + }, + { + "completion_length": 112.328125, + "epoch": 0.6243059839605182, + "grad_norm": 0.7732570878800064, + "kl": 0.039794921875, + "learning_rate": 6.876543209876543e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 506 + }, + { + "completion_length": 119.796875, + "epoch": 0.6255397902529303, + "grad_norm": 3.4723349229764997, + "kl": 0.03106689453125, + "learning_rate": 6.87037037037037e-07, + "loss": 0.0012, + "reward": 1.3828125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.4921875, + "step": 507 + }, + { + "completion_length": 115.21875, + "epoch": 0.6267735965453424, + "grad_norm": 0.09927708777472799, + "kl": 0.03045654296875, + "learning_rate": 6.864197530864198e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 508 + }, + { + "completion_length": 103.265625, + "epoch": 0.6280074028377545, + "grad_norm": 0.11986770637621663, + "kl": 0.033203125, + "learning_rate": 6.858024691358024e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 509 + }, + { + "completion_length": 120.875, + "epoch": 0.6292412091301666, + "grad_norm": 0.9124636120279241, + "kl": 0.0328369140625, + "learning_rate": 6.851851851851852e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 510 + }, + { + "completion_length": 115.40625, + "epoch": 0.6304750154225787, + "grad_norm": 2.133816696886171, + "kl": 0.02899169921875, + "learning_rate": 6.845679012345679e-07, + "loss": 0.0012, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 511 + }, + { + "completion_length": 132.078125, + "epoch": 0.6317088217149908, + "grad_norm": 1.4053972419504113, + "kl": 0.031982421875, + "learning_rate": 6.839506172839506e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 512 + }, + { + "completion_length": 119.125, + "epoch": 0.6329426280074029, + "grad_norm": 0.11243791043624791, + "kl": 0.031005859375, + "learning_rate": 6.833333333333333e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 513 + }, + { + "completion_length": 112.953125, + "epoch": 0.634176434299815, + "grad_norm": 0.10512386451761656, + "kl": 0.0281982421875, + "learning_rate": 6.82716049382716e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 514 + }, + { + "completion_length": 109.5, + "epoch": 0.6354102405922271, + "grad_norm": 1.4269667485349982, + "kl": 0.0308837890625, + "learning_rate": 6.820987654320988e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 515 + }, + { + "completion_length": 90.484375, + "epoch": 0.6366440468846392, + "grad_norm": 0.15974394736465136, + "kl": 0.033447265625, + "learning_rate": 6.814814814814814e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 516 + }, + { + "completion_length": 111.90625, + "epoch": 0.6378778531770513, + "grad_norm": 0.09787378925768153, + "kl": 0.03228759765625, + "learning_rate": 6.808641975308642e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 517 + }, + { + "completion_length": 112.015625, + "epoch": 0.6391116594694632, + "grad_norm": 0.19459862256034988, + "kl": 0.02459716796875, + "learning_rate": 6.802469135802469e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 518 + }, + { + "completion_length": 108.265625, + "epoch": 0.6403454657618753, + "grad_norm": 0.8372501965923447, + "kl": 0.02978515625, + "learning_rate": 6.796296296296296e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 519 + }, + { + "completion_length": 117.046875, + "epoch": 0.6415792720542874, + "grad_norm": 3.9340504862011145, + "kl": 0.03350830078125, + "learning_rate": 6.790123456790123e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 520 + }, + { + "completion_length": 108.703125, + "epoch": 0.6428130783466995, + "grad_norm": 1.4562180228651505, + "kl": 0.02752685546875, + "learning_rate": 6.78395061728395e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 521 + }, + { + "completion_length": 99.109375, + "epoch": 0.6440468846391116, + "grad_norm": 0.11952541620799842, + "kl": 0.03369140625, + "learning_rate": 6.777777777777778e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 522 + }, + { + "completion_length": 109.390625, + "epoch": 0.6452806909315237, + "grad_norm": 1.0921126135169936, + "kl": 0.03485107421875, + "learning_rate": 6.771604938271605e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 523 + }, + { + "completion_length": 104.8125, + "epoch": 0.6465144972239358, + "grad_norm": 3.3277803517008464, + "kl": 0.0438232421875, + "learning_rate": 6.765432098765432e-07, + "loss": 0.0018, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 524 + }, + { + "completion_length": 117.921875, + "epoch": 0.6477483035163479, + "grad_norm": 0.16203866215911872, + "kl": 0.043701171875, + "learning_rate": 6.759259259259259e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 525 + }, + { + "completion_length": 106.1875, + "epoch": 0.64898210980876, + "grad_norm": 3.313422780059698, + "kl": 0.0489501953125, + "learning_rate": 6.753086419753086e-07, + "loss": 0.002, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 526 + }, + { + "completion_length": 115.75, + "epoch": 0.6502159161011721, + "grad_norm": 1.2178746584625855, + "kl": 0.0386962890625, + "learning_rate": 6.746913580246914e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 527 + }, + { + "completion_length": 104.015625, + "epoch": 0.6514497223935842, + "grad_norm": 1.2222880661331195, + "kl": 0.0333251953125, + "learning_rate": 6.74074074074074e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 528 + }, + { + "completion_length": 110.484375, + "epoch": 0.6526835286859963, + "grad_norm": 2.590815574779253, + "kl": 0.03289794921875, + "learning_rate": 6.734567901234568e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 529 + }, + { + "completion_length": 107.40625, + "epoch": 0.6539173349784084, + "grad_norm": 0.596158884476886, + "kl": 0.03741455078125, + "learning_rate": 6.728395061728395e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 530 + }, + { + "completion_length": 88.171875, + "epoch": 0.6551511412708205, + "grad_norm": 5.887832404111741, + "kl": 0.0372314453125, + "learning_rate": 6.722222222222222e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 531 + }, + { + "completion_length": 98.171875, + "epoch": 0.6563849475632326, + "grad_norm": 0.1272128622500354, + "kl": 0.02703857421875, + "learning_rate": 6.716049382716049e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 532 + }, + { + "completion_length": 96.234375, + "epoch": 0.6576187538556446, + "grad_norm": 1.228262531653624, + "kl": 0.039306640625, + "learning_rate": 6.709876543209876e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 533 + }, + { + "completion_length": 110.140625, + "epoch": 0.6588525601480567, + "grad_norm": 0.7890932436681697, + "kl": 0.036376953125, + "learning_rate": 6.703703703703704e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 534 + }, + { + "completion_length": 95.15625, + "epoch": 0.6600863664404688, + "grad_norm": 0.7752259812815786, + "kl": 0.03131103515625, + "learning_rate": 6.69753086419753e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 535 + }, + { + "completion_length": 103.203125, + "epoch": 0.6613201727328809, + "grad_norm": 0.885860486954362, + "kl": 0.037109375, + "learning_rate": 6.691358024691358e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 536 + }, + { + "completion_length": 104.0, + "epoch": 0.662553979025293, + "grad_norm": 0.2448523454539756, + "kl": 0.043701171875, + "learning_rate": 6.685185185185185e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 537 + }, + { + "completion_length": 107.875, + "epoch": 0.6637877853177051, + "grad_norm": 0.6204369278998937, + "kl": 0.0360107421875, + "learning_rate": 6.679012345679012e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 538 + }, + { + "completion_length": 110.875, + "epoch": 0.6650215916101172, + "grad_norm": 2.570916366155839, + "kl": 0.0413818359375, + "learning_rate": 6.672839506172839e-07, + "loss": 0.0017, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 539 + }, + { + "completion_length": 118.703125, + "epoch": 0.6662553979025293, + "grad_norm": 0.6295463236658331, + "kl": 0.035888671875, + "learning_rate": 6.666666666666666e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 540 + }, + { + "completion_length": 122.90625, + "epoch": 0.6674892041949414, + "grad_norm": 0.11264288023256797, + "kl": 0.0400390625, + "learning_rate": 6.660493827160494e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 541 + }, + { + "completion_length": 110.953125, + "epoch": 0.6687230104873535, + "grad_norm": 1.6096528956181355, + "kl": 0.037353515625, + "learning_rate": 6.65432098765432e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 542 + }, + { + "completion_length": 103.375, + "epoch": 0.6699568167797656, + "grad_norm": 0.14983208340936272, + "kl": 0.041259765625, + "learning_rate": 6.648148148148148e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 543 + }, + { + "completion_length": 96.8125, + "epoch": 0.6711906230721777, + "grad_norm": 0.1120957315606829, + "kl": 0.0311279296875, + "learning_rate": 6.641975308641975e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 544 + }, + { + "completion_length": 110.21875, + "epoch": 0.6724244293645898, + "grad_norm": 1.2376428115747553, + "kl": 0.0447998046875, + "learning_rate": 6.635802469135802e-07, + "loss": 0.0018, + "reward": 1.421875, + "reward_std": 0.13794417306780815, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.46875, + "step": 545 + }, + { + "completion_length": 110.9375, + "epoch": 0.6736582356570019, + "grad_norm": 0.8514750293398613, + "kl": 0.041748046875, + "learning_rate": 6.629629629629629e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 546 + }, + { + "completion_length": 103.875, + "epoch": 0.674892041949414, + "grad_norm": 0.09081667635805855, + "kl": 0.0374755859375, + "learning_rate": 6.623456790123456e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 547 + }, + { + "completion_length": 112.640625, + "epoch": 0.6761258482418261, + "grad_norm": 0.592089217634733, + "kl": 0.0438232421875, + "learning_rate": 6.617283950617284e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 548 + }, + { + "completion_length": 112.25, + "epoch": 0.6773596545342381, + "grad_norm": 0.10315306284144561, + "kl": 0.03076171875, + "learning_rate": 6.611111111111111e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 549 + }, + { + "completion_length": 100.484375, + "epoch": 0.6785934608266502, + "grad_norm": 0.1325397722865268, + "kl": 0.0406494140625, + "learning_rate": 6.604938271604938e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 550 + }, + { + "completion_length": 102.984375, + "epoch": 0.6798272671190623, + "grad_norm": 0.1643876296159077, + "kl": 0.034912109375, + "learning_rate": 6.598765432098765e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 551 + }, + { + "completion_length": 96.765625, + "epoch": 0.6810610734114744, + "grad_norm": 1.028325552151721, + "kl": 0.0760498046875, + "learning_rate": 6.592592592592592e-07, + "loss": 0.003, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 552 + }, + { + "completion_length": 98.796875, + "epoch": 0.6822948797038865, + "grad_norm": 0.11839394624398145, + "kl": 0.03955078125, + "learning_rate": 6.586419753086419e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 553 + }, + { + "completion_length": 89.828125, + "epoch": 0.6835286859962986, + "grad_norm": 0.18259456597246024, + "kl": 0.03411865234375, + "learning_rate": 6.580246913580246e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 554 + }, + { + "completion_length": 102.65625, + "epoch": 0.6847624922887107, + "grad_norm": 0.8727338698071115, + "kl": 0.0341796875, + "learning_rate": 6.574074074074074e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 555 + }, + { + "completion_length": 102.3125, + "epoch": 0.6859962985811228, + "grad_norm": 0.5323633915886724, + "kl": 0.0438232421875, + "learning_rate": 6.567901234567901e-07, + "loss": 0.0018, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 556 + }, + { + "completion_length": 95.28125, + "epoch": 0.6872301048735349, + "grad_norm": 0.4416872163294425, + "kl": 0.037841796875, + "learning_rate": 6.561728395061728e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 557 + }, + { + "completion_length": 100.234375, + "epoch": 0.688463911165947, + "grad_norm": 0.09215060193592126, + "kl": 0.041748046875, + "learning_rate": 6.555555555555555e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 558 + }, + { + "completion_length": 103.984375, + "epoch": 0.6896977174583591, + "grad_norm": 0.9950840064210901, + "kl": 0.02825927734375, + "learning_rate": 6.549382716049382e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 559 + }, + { + "completion_length": 99.40625, + "epoch": 0.6909315237507712, + "grad_norm": 0.8182764340988057, + "kl": 0.0440673828125, + "learning_rate": 6.54320987654321e-07, + "loss": 0.0018, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 560 + }, + { + "completion_length": 104.046875, + "epoch": 0.6921653300431833, + "grad_norm": 1.9864073060061487, + "kl": 0.0343017578125, + "learning_rate": 6.537037037037036e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 561 + }, + { + "completion_length": 102.484375, + "epoch": 0.6933991363355954, + "grad_norm": 0.0813989757759978, + "kl": 0.0364990234375, + "learning_rate": 6.530864197530864e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 562 + }, + { + "completion_length": 97.96875, + "epoch": 0.6946329426280075, + "grad_norm": 1.013109736804528, + "kl": 0.0396728515625, + "learning_rate": 6.524691358024691e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 563 + }, + { + "completion_length": 103.640625, + "epoch": 0.6958667489204194, + "grad_norm": 1.3132011357717663, + "kl": 0.037353515625, + "learning_rate": 6.518518518518519e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 564 + }, + { + "completion_length": 95.046875, + "epoch": 0.6971005552128315, + "grad_norm": 0.57407637638119, + "kl": 0.0419921875, + "learning_rate": 6.512345679012345e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 565 + }, + { + "completion_length": 101.875, + "epoch": 0.6983343615052436, + "grad_norm": 0.5294994003030877, + "kl": 0.03515625, + "learning_rate": 6.506172839506172e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 566 + }, + { + "completion_length": 122.625, + "epoch": 0.6995681677976557, + "grad_norm": 3.148006707962375, + "kl": 0.046142578125, + "learning_rate": 6.5e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 567 + }, + { + "completion_length": 109.671875, + "epoch": 0.7008019740900678, + "grad_norm": 1.4841010081399664, + "kl": 0.0482177734375, + "learning_rate": 6.493827160493826e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 568 + }, + { + "completion_length": 102.53125, + "epoch": 0.7020357803824799, + "grad_norm": 0.17949942029232646, + "kl": 0.041748046875, + "learning_rate": 6.487654320987654e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 569 + }, + { + "completion_length": 114.078125, + "epoch": 0.703269586674892, + "grad_norm": 0.27950761339737196, + "kl": 0.048828125, + "learning_rate": 6.481481481481481e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 570 + }, + { + "completion_length": 112.546875, + "epoch": 0.7045033929673041, + "grad_norm": 0.13604878673577128, + "kl": 0.0335693359375, + "learning_rate": 6.475308641975308e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 571 + }, + { + "completion_length": 125.453125, + "epoch": 0.7057371992597162, + "grad_norm": 0.08408779934533316, + "kl": 0.041748046875, + "learning_rate": 6.469135802469135e-07, + "loss": 0.0017, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 572 + }, + { + "completion_length": 115.0625, + "epoch": 0.7069710055521283, + "grad_norm": 0.7928090407648283, + "kl": 0.0377197265625, + "learning_rate": 6.462962962962962e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 573 + }, + { + "completion_length": 122.09375, + "epoch": 0.7082048118445404, + "grad_norm": 0.8997029469955565, + "kl": 0.039306640625, + "learning_rate": 6.45679012345679e-07, + "loss": 0.0016, + "reward": 1.4296875, + "reward_std": 0.07057205587625504, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 574 + }, + { + "completion_length": 113.828125, + "epoch": 0.7094386181369525, + "grad_norm": 0.6768755634238571, + "kl": 0.0382080078125, + "learning_rate": 6.450617283950617e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 575 + }, + { + "completion_length": 113.125, + "epoch": 0.7106724244293646, + "grad_norm": 1.3804504165212328, + "kl": 0.03131103515625, + "learning_rate": 6.444444444444444e-07, + "loss": 0.0013, + "reward": 1.375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.484375, + "step": 576 + }, + { + "completion_length": 122.09375, + "epoch": 0.7119062307217767, + "grad_norm": 0.1106555246665533, + "kl": 0.0277099609375, + "learning_rate": 6.438271604938271e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 577 + }, + { + "completion_length": 103.0625, + "epoch": 0.7131400370141888, + "grad_norm": 0.66936183237414, + "kl": 0.032470703125, + "learning_rate": 6.432098765432098e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 578 + }, + { + "completion_length": 112.8125, + "epoch": 0.7143738433066008, + "grad_norm": 1.2327667249407253, + "kl": 0.02801513671875, + "learning_rate": 6.425925925925925e-07, + "loss": 0.0011, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 579 + }, + { + "completion_length": 120.5, + "epoch": 0.7156076495990129, + "grad_norm": 0.7399765872430594, + "kl": 0.0281982421875, + "learning_rate": 6.419753086419752e-07, + "loss": 0.0011, + "reward": 1.40625, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 580 + }, + { + "completion_length": 116.875, + "epoch": 0.716841455891425, + "grad_norm": 0.9290460937336746, + "kl": 0.0380859375, + "learning_rate": 6.41358024691358e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 581 + }, + { + "completion_length": 112.03125, + "epoch": 0.7180752621838371, + "grad_norm": 2.006633608684569, + "kl": 0.036865234375, + "learning_rate": 6.407407407407407e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.07216878235340118, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 582 + }, + { + "completion_length": 105.921875, + "epoch": 0.7193090684762492, + "grad_norm": 0.2854304309234838, + "kl": 0.0360107421875, + "learning_rate": 6.401234567901234e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 583 + }, + { + "completion_length": 106.640625, + "epoch": 0.7205428747686613, + "grad_norm": 0.09337736915120738, + "kl": 0.0289306640625, + "learning_rate": 6.395061728395061e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 584 + }, + { + "completion_length": 121.65625, + "epoch": 0.7217766810610734, + "grad_norm": 0.8716070084619838, + "kl": 0.0338134765625, + "learning_rate": 6.388888888888888e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 585 + }, + { + "completion_length": 104.875, + "epoch": 0.7230104873534855, + "grad_norm": 0.5106770281804973, + "kl": 0.0328369140625, + "learning_rate": 6.382716049382716e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 586 + }, + { + "completion_length": 105.578125, + "epoch": 0.7242442936458976, + "grad_norm": 0.1924986759027035, + "kl": 0.02618408203125, + "learning_rate": 6.376543209876542e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 587 + }, + { + "completion_length": 106.21875, + "epoch": 0.7254780999383097, + "grad_norm": 0.10579694537219615, + "kl": 0.0303955078125, + "learning_rate": 6.37037037037037e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 588 + }, + { + "completion_length": 92.1875, + "epoch": 0.7267119062307218, + "grad_norm": 0.08522149415470472, + "kl": 0.02154541015625, + "learning_rate": 6.364197530864197e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 589 + }, + { + "completion_length": 112.4375, + "epoch": 0.7279457125231339, + "grad_norm": 0.1550271726305113, + "kl": 0.048583984375, + "learning_rate": 6.358024691358025e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 590 + }, + { + "completion_length": 112.65625, + "epoch": 0.729179518815546, + "grad_norm": 0.16649503649575081, + "kl": 0.0296630859375, + "learning_rate": 6.351851851851851e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 591 + }, + { + "completion_length": 106.125, + "epoch": 0.7304133251079581, + "grad_norm": 0.15114348278190062, + "kl": 0.0272216796875, + "learning_rate": 6.345679012345678e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 592 + }, + { + "completion_length": 92.390625, + "epoch": 0.7316471314003702, + "grad_norm": 0.8694661829081057, + "kl": 0.03564453125, + "learning_rate": 6.339506172839506e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 593 + }, + { + "completion_length": 107.59375, + "epoch": 0.7328809376927823, + "grad_norm": 11.844993085200043, + "kl": 0.043212890625, + "learning_rate": 6.333333333333332e-07, + "loss": 0.0017, + "reward": 1.40625, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 594 + }, + { + "completion_length": 102.296875, + "epoch": 0.7341147439851943, + "grad_norm": 0.6209395309771242, + "kl": 0.048095703125, + "learning_rate": 6.32716049382716e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 595 + }, + { + "completion_length": 103.453125, + "epoch": 0.7353485502776064, + "grad_norm": 1.2073760702217682, + "kl": 0.043701171875, + "learning_rate": 6.320987654320987e-07, + "loss": 0.0017, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 596 + }, + { + "completion_length": 122.875, + "epoch": 0.7365823565700185, + "grad_norm": 0.38041630703021617, + "kl": 0.0439453125, + "learning_rate": 6.314814814814815e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 597 + }, + { + "completion_length": 108.875, + "epoch": 0.7378161628624306, + "grad_norm": 1.3301458087769809, + "kl": 0.037353515625, + "learning_rate": 6.308641975308641e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 598 + }, + { + "completion_length": 114.375, + "epoch": 0.7390499691548427, + "grad_norm": 1.4217372606515701, + "kl": 0.0501708984375, + "learning_rate": 6.302469135802468e-07, + "loss": 0.002, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 599 + }, + { + "completion_length": 111.71875, + "epoch": 0.7402837754472548, + "grad_norm": 0.5884069113617648, + "kl": 0.05029296875, + "learning_rate": 6.296296296296296e-07, + "loss": 0.002, + "reward": 1.359375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.5, + "step": 600 + }, + { + "completion_length": 96.390625, + "epoch": 0.7415175817396669, + "grad_norm": 1.5513306437933212, + "kl": 0.0391845703125, + "learning_rate": 6.290123456790122e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 601 + }, + { + "completion_length": 104.59375, + "epoch": 0.742751388032079, + "grad_norm": 0.1336905542394722, + "kl": 0.0535888671875, + "learning_rate": 6.28395061728395e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 602 + }, + { + "completion_length": 100.625, + "epoch": 0.7439851943244911, + "grad_norm": 0.21493763740894353, + "kl": 0.05078125, + "learning_rate": 6.277777777777777e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 603 + }, + { + "completion_length": 124.171875, + "epoch": 0.7452190006169032, + "grad_norm": 0.8273440664285385, + "kl": 0.06201171875, + "learning_rate": 6.271604938271605e-07, + "loss": 0.0025, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 604 + }, + { + "completion_length": 120.671875, + "epoch": 0.7464528069093153, + "grad_norm": 0.11554099113024738, + "kl": 0.0511474609375, + "learning_rate": 6.265432098765431e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 605 + }, + { + "completion_length": 115.296875, + "epoch": 0.7476866132017274, + "grad_norm": 0.12911393561826293, + "kl": 0.0565185546875, + "learning_rate": 6.259259259259258e-07, + "loss": 0.0023, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 606 + }, + { + "completion_length": 106.625, + "epoch": 0.7489204194941395, + "grad_norm": 1.0914927792305498, + "kl": 0.0400390625, + "learning_rate": 6.253086419753086e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 607 + }, + { + "completion_length": 111.5, + "epoch": 0.7501542257865516, + "grad_norm": 1.2124844485945039, + "kl": 0.06689453125, + "learning_rate": 6.246913580246913e-07, + "loss": 0.0027, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 608 + }, + { + "completion_length": 100.0, + "epoch": 0.7513880320789637, + "grad_norm": 0.5907048610794731, + "kl": 0.0413818359375, + "learning_rate": 6.24074074074074e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 609 + }, + { + "completion_length": 95.78125, + "epoch": 0.7526218383713756, + "grad_norm": 0.29152735365821736, + "kl": 0.049560546875, + "learning_rate": 6.234567901234567e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 610 + }, + { + "completion_length": 103.671875, + "epoch": 0.7538556446637877, + "grad_norm": 0.18657582102671222, + "kl": 0.0455322265625, + "learning_rate": 6.228395061728394e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 611 + }, + { + "completion_length": 114.21875, + "epoch": 0.7550894509561998, + "grad_norm": 0.137378106465678, + "kl": 0.04638671875, + "learning_rate": 6.222222222222223e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 612 + }, + { + "completion_length": 108.40625, + "epoch": 0.7563232572486119, + "grad_norm": 0.19864691265120454, + "kl": 0.0506591796875, + "learning_rate": 6.216049382716048e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 613 + }, + { + "completion_length": 110.1875, + "epoch": 0.757557063541024, + "grad_norm": 1.7675345952343595, + "kl": 0.0478515625, + "learning_rate": 6.209876543209877e-07, + "loss": 0.0019, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 614 + }, + { + "completion_length": 104.265625, + "epoch": 0.7587908698334361, + "grad_norm": 0.9796724094156686, + "kl": 0.045166015625, + "learning_rate": 6.203703703703704e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.08537658676505089, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 615 + }, + { + "completion_length": 95.546875, + "epoch": 0.7600246761258482, + "grad_norm": 4.988467405305695, + "kl": 0.2042236328125, + "learning_rate": 6.19753086419753e-07, + "loss": 0.0082, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 616 + }, + { + "completion_length": 100.21875, + "epoch": 0.7612584824182603, + "grad_norm": 1.4482591724942648, + "kl": 0.049560546875, + "learning_rate": 6.191358024691358e-07, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 617 + }, + { + "completion_length": 102.421875, + "epoch": 0.7624922887106724, + "grad_norm": 1.0640633794978491, + "kl": 0.0411376953125, + "learning_rate": 6.185185185185185e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 618 + }, + { + "completion_length": 100.953125, + "epoch": 0.7637260950030845, + "grad_norm": 0.10869812601519788, + "kl": 0.03662109375, + "learning_rate": 6.179012345679013e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 619 + }, + { + "completion_length": 105.9375, + "epoch": 0.7649599012954966, + "grad_norm": 0.0973077122810746, + "kl": 0.03662109375, + "learning_rate": 6.172839506172839e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 620 + }, + { + "completion_length": 121.28125, + "epoch": 0.7661937075879087, + "grad_norm": 3.5759736622645497, + "kl": 0.0419921875, + "learning_rate": 6.166666666666667e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 621 + }, + { + "completion_length": 115.5, + "epoch": 0.7674275138803208, + "grad_norm": 2.0013123146307605, + "kl": 0.06103515625, + "learning_rate": 6.160493827160494e-07, + "loss": 0.0024, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 622 + }, + { + "completion_length": 121.515625, + "epoch": 0.7686613201727329, + "grad_norm": 1.7594472710892903, + "kl": 0.0621337890625, + "learning_rate": 6.154320987654322e-07, + "loss": 0.0025, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 623 + }, + { + "completion_length": 117.40625, + "epoch": 0.769895126465145, + "grad_norm": 1.4875586480842138, + "kl": 0.05078125, + "learning_rate": 6.148148148148148e-07, + "loss": 0.002, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 624 + }, + { + "completion_length": 103.53125, + "epoch": 0.7711289327575571, + "grad_norm": 1.087325089702676, + "kl": 0.0469970703125, + "learning_rate": 6.141975308641975e-07, + "loss": 0.0019, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 625 + }, + { + "completion_length": 110.234375, + "epoch": 0.7723627390499691, + "grad_norm": 1.188074009041468, + "kl": 0.0555419921875, + "learning_rate": 6.135802469135803e-07, + "loss": 0.0022, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 626 + }, + { + "completion_length": 103.953125, + "epoch": 0.7735965453423812, + "grad_norm": 1.2850412566705645, + "kl": 0.0555419921875, + "learning_rate": 6.129629629629629e-07, + "loss": 0.0022, + "reward": 1.4765625, + "reward_std": 0.029919598251581192, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 627 + }, + { + "completion_length": 119.171875, + "epoch": 0.7748303516347933, + "grad_norm": 1.1026762287651828, + "kl": 0.0623779296875, + "learning_rate": 6.123456790123457e-07, + "loss": 0.0025, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 628 + }, + { + "completion_length": 112.296875, + "epoch": 0.7760641579272054, + "grad_norm": 3.755512920419185, + "kl": 0.1055908203125, + "learning_rate": 6.117283950617284e-07, + "loss": 0.0042, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 629 + }, + { + "completion_length": 108.859375, + "epoch": 0.7772979642196175, + "grad_norm": 0.8816365218671202, + "kl": 0.044189453125, + "learning_rate": 6.111111111111112e-07, + "loss": 0.0018, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 630 + }, + { + "completion_length": 110.953125, + "epoch": 0.7785317705120296, + "grad_norm": 0.3632868051624646, + "kl": 0.040283203125, + "learning_rate": 6.104938271604938e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 631 + }, + { + "completion_length": 114.4375, + "epoch": 0.7797655768044417, + "grad_norm": 14.564889950108656, + "kl": 0.0540771484375, + "learning_rate": 6.098765432098765e-07, + "loss": 0.0022, + "reward": 1.390625, + "reward_std": 0.08619705587625504, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 632 + }, + { + "completion_length": 110.125, + "epoch": 0.7809993830968538, + "grad_norm": 0.13692486665494175, + "kl": 0.04150390625, + "learning_rate": 6.092592592592593e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 633 + }, + { + "completion_length": 121.71875, + "epoch": 0.7822331893892659, + "grad_norm": 0.5464836805856643, + "kl": 0.047119140625, + "learning_rate": 6.08641975308642e-07, + "loss": 0.0019, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 634 + }, + { + "completion_length": 105.234375, + "epoch": 0.783466995681678, + "grad_norm": 1.2234358687555564, + "kl": 0.039794921875, + "learning_rate": 6.080246913580247e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 635 + }, + { + "completion_length": 109.140625, + "epoch": 0.7847008019740901, + "grad_norm": 1.1757757764902859, + "kl": 0.0557861328125, + "learning_rate": 6.074074074074074e-07, + "loss": 0.0022, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 636 + }, + { + "completion_length": 123.21875, + "epoch": 0.7859346082665022, + "grad_norm": 1.9591413509732767, + "kl": 0.0494384765625, + "learning_rate": 6.067901234567902e-07, + "loss": 0.002, + "reward": 1.40625, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 637 + }, + { + "completion_length": 124.890625, + "epoch": 0.7871684145589143, + "grad_norm": 0.6959194239559751, + "kl": 0.0489501953125, + "learning_rate": 6.061728395061729e-07, + "loss": 0.002, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 638 + }, + { + "completion_length": 119.4375, + "epoch": 0.7884022208513264, + "grad_norm": 2.1773557940503196, + "kl": 0.03955078125, + "learning_rate": 6.055555555555555e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 639 + }, + { + "completion_length": 102.953125, + "epoch": 0.7896360271437385, + "grad_norm": 5.4552654989852885, + "kl": 0.051025390625, + "learning_rate": 6.049382716049383e-07, + "loss": 0.002, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 640 + }, + { + "completion_length": 117.546875, + "epoch": 0.7908698334361505, + "grad_norm": 1.2400224471040937, + "kl": 0.0556640625, + "learning_rate": 6.04320987654321e-07, + "loss": 0.0022, + "reward": 1.3984375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4765625, + "step": 641 + }, + { + "completion_length": 111.203125, + "epoch": 0.7921036397285626, + "grad_norm": 0.20718486663803923, + "kl": 0.051025390625, + "learning_rate": 6.037037037037037e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 642 + }, + { + "completion_length": 98.015625, + "epoch": 0.7933374460209747, + "grad_norm": 0.16924866249236792, + "kl": 0.0545654296875, + "learning_rate": 6.030864197530864e-07, + "loss": 0.0022, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 643 + }, + { + "completion_length": 84.21875, + "epoch": 0.7945712523133868, + "grad_norm": 3.167461712158039, + "kl": 0.0570068359375, + "learning_rate": 6.024691358024692e-07, + "loss": 0.0023, + "reward": 1.40625, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 644 + }, + { + "completion_length": 101.6875, + "epoch": 0.7958050586057989, + "grad_norm": 1.771664898416848, + "kl": 0.0689697265625, + "learning_rate": 6.018518518518519e-07, + "loss": 0.0028, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 645 + }, + { + "completion_length": 115.03125, + "epoch": 0.797038864898211, + "grad_norm": 0.8162035702814715, + "kl": 0.041259765625, + "learning_rate": 6.012345679012345e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 646 + }, + { + "completion_length": 105.65625, + "epoch": 0.7982726711906231, + "grad_norm": 0.4994326949240207, + "kl": 0.0380859375, + "learning_rate": 6.006172839506173e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 647 + }, + { + "completion_length": 83.75, + "epoch": 0.7995064774830352, + "grad_norm": 2.074046928972364, + "kl": 0.0457763671875, + "learning_rate": 6e-07, + "loss": 0.0018, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 648 + }, + { + "completion_length": 111.59375, + "epoch": 0.8007402837754473, + "grad_norm": 0.7103835545447327, + "kl": 0.0494384765625, + "learning_rate": 5.993827160493828e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 649 + }, + { + "completion_length": 95.546875, + "epoch": 0.8019740900678594, + "grad_norm": 1.3102917512875751, + "kl": 0.0546875, + "learning_rate": 5.987654320987654e-07, + "loss": 0.0022, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 650 + }, + { + "completion_length": 109.109375, + "epoch": 0.8032078963602715, + "grad_norm": 0.8082798791374863, + "kl": 0.039794921875, + "learning_rate": 5.981481481481481e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 651 + }, + { + "completion_length": 103.71875, + "epoch": 0.8044417026526836, + "grad_norm": 0.519518032070318, + "kl": 0.052490234375, + "learning_rate": 5.975308641975309e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 652 + }, + { + "completion_length": 101.40625, + "epoch": 0.8056755089450957, + "grad_norm": 0.6270328082863429, + "kl": 0.06005859375, + "learning_rate": 5.969135802469135e-07, + "loss": 0.0024, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 653 + }, + { + "completion_length": 100.796875, + "epoch": 0.8069093152375078, + "grad_norm": 0.15581192387468973, + "kl": 0.0418701171875, + "learning_rate": 5.962962962962963e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 654 + }, + { + "completion_length": 103.84375, + "epoch": 0.8081431215299199, + "grad_norm": 0.6430784126140745, + "kl": 0.030517578125, + "learning_rate": 5.95679012345679e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 655 + }, + { + "completion_length": 104.90625, + "epoch": 0.809376927822332, + "grad_norm": 0.1371056448793011, + "kl": 0.047119140625, + "learning_rate": 5.950617283950618e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 656 + }, + { + "completion_length": 106.359375, + "epoch": 0.8106107341147439, + "grad_norm": 0.2319803189915482, + "kl": 0.046875, + "learning_rate": 5.944444444444444e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 657 + }, + { + "completion_length": 102.71875, + "epoch": 0.811844540407156, + "grad_norm": 0.12082133780926309, + "kl": 0.0447998046875, + "learning_rate": 5.938271604938271e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 658 + }, + { + "completion_length": 106.96875, + "epoch": 0.8130783466995681, + "grad_norm": 0.1153369703742515, + "kl": 0.034912109375, + "learning_rate": 5.932098765432099e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 659 + }, + { + "completion_length": 114.75, + "epoch": 0.8143121529919802, + "grad_norm": 0.5366983443333084, + "kl": 0.04638671875, + "learning_rate": 5.925925925925926e-07, + "loss": 0.0019, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 660 + }, + { + "completion_length": 107.609375, + "epoch": 0.8155459592843923, + "grad_norm": 0.723067786809759, + "kl": 0.0438232421875, + "learning_rate": 5.919753086419753e-07, + "loss": 0.0018, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 661 + }, + { + "completion_length": 109.625, + "epoch": 0.8167797655768044, + "grad_norm": 0.3277281043572439, + "kl": 0.0443115234375, + "learning_rate": 5.91358024691358e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 662 + }, + { + "completion_length": 99.3125, + "epoch": 0.8180135718692165, + "grad_norm": 0.13554545048131333, + "kl": 0.0570068359375, + "learning_rate": 5.907407407407408e-07, + "loss": 0.0023, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 663 + }, + { + "completion_length": 133.28125, + "epoch": 0.8192473781616286, + "grad_norm": 0.3409033365446875, + "kl": 0.046630859375, + "learning_rate": 5.901234567901234e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 664 + }, + { + "completion_length": 124.6875, + "epoch": 0.8204811844540407, + "grad_norm": 0.5838204441284646, + "kl": 0.0538330078125, + "learning_rate": 5.895061728395061e-07, + "loss": 0.0022, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 665 + }, + { + "completion_length": 127.515625, + "epoch": 0.8217149907464528, + "grad_norm": 0.09989114507305993, + "kl": 0.0406494140625, + "learning_rate": 5.888888888888889e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 666 + }, + { + "completion_length": 121.8125, + "epoch": 0.8229487970388649, + "grad_norm": 0.9720845915409976, + "kl": 0.0469970703125, + "learning_rate": 5.882716049382716e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 667 + }, + { + "completion_length": 106.96875, + "epoch": 0.824182603331277, + "grad_norm": 0.7435286312934679, + "kl": 0.0374755859375, + "learning_rate": 5.876543209876543e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 668 + }, + { + "completion_length": 90.953125, + "epoch": 0.8254164096236891, + "grad_norm": 1.0100992361174066, + "kl": 0.0694580078125, + "learning_rate": 5.87037037037037e-07, + "loss": 0.0028, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 669 + }, + { + "completion_length": 113.96875, + "epoch": 0.8266502159161012, + "grad_norm": 0.08574201343158261, + "kl": 0.0416259765625, + "learning_rate": 5.864197530864198e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 670 + }, + { + "completion_length": 108.390625, + "epoch": 0.8278840222085133, + "grad_norm": 1.2257207443092462, + "kl": 0.05126953125, + "learning_rate": 5.858024691358025e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 671 + }, + { + "completion_length": 122.984375, + "epoch": 0.8291178285009253, + "grad_norm": 0.0792380947962358, + "kl": 0.05322265625, + "learning_rate": 5.851851851851851e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 672 + }, + { + "completion_length": 111.953125, + "epoch": 0.8303516347933374, + "grad_norm": 1.3178353403651533, + "kl": 0.0513916015625, + "learning_rate": 5.845679012345679e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 673 + }, + { + "completion_length": 112.171875, + "epoch": 0.8315854410857495, + "grad_norm": 0.3185779407317927, + "kl": 0.0389404296875, + "learning_rate": 5.839506172839506e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 674 + }, + { + "completion_length": 118.71875, + "epoch": 0.8328192473781616, + "grad_norm": 0.0891774838318766, + "kl": 0.039794921875, + "learning_rate": 5.833333333333334e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 675 + }, + { + "completion_length": 100.171875, + "epoch": 0.8340530536705737, + "grad_norm": 5.419391231334811, + "kl": 0.23291015625, + "learning_rate": 5.82716049382716e-07, + "loss": 0.0093, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 676 + }, + { + "completion_length": 121.40625, + "epoch": 0.8352868599629858, + "grad_norm": 0.10925843025319877, + "kl": 0.045654296875, + "learning_rate": 5.820987654320988e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 677 + }, + { + "completion_length": 114.859375, + "epoch": 0.8365206662553979, + "grad_norm": 2.0130911442232953, + "kl": 0.0408935546875, + "learning_rate": 5.814814814814815e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 678 + }, + { + "completion_length": 108.875, + "epoch": 0.83775447254781, + "grad_norm": 1.0087348872516875, + "kl": 0.052734375, + "learning_rate": 5.808641975308641e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 679 + }, + { + "completion_length": 117.359375, + "epoch": 0.8389882788402221, + "grad_norm": 0.562963746052721, + "kl": 0.052734375, + "learning_rate": 5.802469135802469e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 680 + }, + { + "completion_length": 121.96875, + "epoch": 0.8402220851326342, + "grad_norm": 1.0786919254103653, + "kl": 0.056396484375, + "learning_rate": 5.796296296296296e-07, + "loss": 0.0023, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 681 + }, + { + "completion_length": 121.546875, + "epoch": 0.8414558914250463, + "grad_norm": 0.6082261353599578, + "kl": 0.0347900390625, + "learning_rate": 5.790123456790124e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 682 + }, + { + "completion_length": 133.421875, + "epoch": 0.8426896977174584, + "grad_norm": 0.5287971346356818, + "kl": 0.049072265625, + "learning_rate": 5.78395061728395e-07, + "loss": 0.002, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 683 + }, + { + "completion_length": 117.140625, + "epoch": 0.8439235040098705, + "grad_norm": 1.2878857280645113, + "kl": 0.05517578125, + "learning_rate": 5.777777777777777e-07, + "loss": 0.0022, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 684 + }, + { + "completion_length": 120.703125, + "epoch": 0.8451573103022826, + "grad_norm": 1.771482808551298, + "kl": 0.0487060546875, + "learning_rate": 5.771604938271605e-07, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 685 + }, + { + "completion_length": 112.578125, + "epoch": 0.8463911165946947, + "grad_norm": 1.074159944570807, + "kl": 0.04541015625, + "learning_rate": 5.765432098765432e-07, + "loss": 0.0018, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 686 + }, + { + "completion_length": 118.109375, + "epoch": 0.8476249228871067, + "grad_norm": 0.12040427685897154, + "kl": 0.035888671875, + "learning_rate": 5.759259259259259e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 687 + }, + { + "completion_length": 120.65625, + "epoch": 0.8488587291795188, + "grad_norm": 0.08539121205224318, + "kl": 0.0323486328125, + "learning_rate": 5.753086419753086e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 688 + }, + { + "completion_length": 122.171875, + "epoch": 0.8500925354719309, + "grad_norm": 0.5594270197952906, + "kl": 0.0341796875, + "learning_rate": 5.746913580246914e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 689 + }, + { + "completion_length": 117.78125, + "epoch": 0.851326341764343, + "grad_norm": 1.5735356566209462, + "kl": 0.033935546875, + "learning_rate": 5.74074074074074e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 690 + }, + { + "completion_length": 111.71875, + "epoch": 0.8525601480567551, + "grad_norm": 1.4479218827661673, + "kl": 0.037353515625, + "learning_rate": 5.734567901234567e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 691 + }, + { + "completion_length": 117.984375, + "epoch": 0.8537939543491672, + "grad_norm": 0.1335086158455276, + "kl": 0.03521728515625, + "learning_rate": 5.728395061728395e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 692 + }, + { + "completion_length": 105.703125, + "epoch": 0.8550277606415793, + "grad_norm": 1.3601183608453609, + "kl": 0.0394287109375, + "learning_rate": 5.722222222222222e-07, + "loss": 0.0016, + "reward": 1.40625, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 693 + }, + { + "completion_length": 102.375, + "epoch": 0.8562615669339914, + "grad_norm": 0.623779068893223, + "kl": 0.0340576171875, + "learning_rate": 5.716049382716049e-07, + "loss": 0.0014, + "reward": 1.390625, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.5, + "step": 694 + }, + { + "completion_length": 111.375, + "epoch": 0.8574953732264035, + "grad_norm": 1.8770924201703876, + "kl": 0.040283203125, + "learning_rate": 5.709876543209876e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 695 + }, + { + "completion_length": 97.40625, + "epoch": 0.8587291795188156, + "grad_norm": 0.1892410945652006, + "kl": 0.0372314453125, + "learning_rate": 5.703703703703704e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 696 + }, + { + "completion_length": 111.546875, + "epoch": 0.8599629858112277, + "grad_norm": 0.9295051833393664, + "kl": 0.038330078125, + "learning_rate": 5.697530864197531e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 697 + }, + { + "completion_length": 122.34375, + "epoch": 0.8611967921036398, + "grad_norm": 19.782753784007976, + "kl": 0.0457763671875, + "learning_rate": 5.691358024691357e-07, + "loss": 0.0018, + "reward": 1.375, + "reward_std": 0.1610843911767006, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.484375, + "step": 698 + }, + { + "completion_length": 95.578125, + "epoch": 0.8624305983960519, + "grad_norm": 0.11063611152817406, + "kl": 0.03662109375, + "learning_rate": 5.685185185185185e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 699 + }, + { + "completion_length": 110.9375, + "epoch": 0.863664404688464, + "grad_norm": 0.6229237241620708, + "kl": 0.0384521484375, + "learning_rate": 5.679012345679012e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 700 + }, + { + "completion_length": 96.3125, + "epoch": 0.864898210980876, + "grad_norm": 6.858884038900654, + "kl": 0.0479736328125, + "learning_rate": 5.672839506172839e-07, + "loss": 0.0019, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 701 + }, + { + "completion_length": 124.21875, + "epoch": 0.8661320172732881, + "grad_norm": 0.6113557858385268, + "kl": 0.03240966796875, + "learning_rate": 5.666666666666666e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 702 + }, + { + "completion_length": 106.296875, + "epoch": 0.8673658235657001, + "grad_norm": 0.5451966192576995, + "kl": 0.0447998046875, + "learning_rate": 5.660493827160494e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 703 + }, + { + "completion_length": 115.984375, + "epoch": 0.8685996298581122, + "grad_norm": 1.4626260358560337, + "kl": 0.057861328125, + "learning_rate": 5.654320987654321e-07, + "loss": 0.0023, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 704 + }, + { + "completion_length": 114.21875, + "epoch": 0.8698334361505243, + "grad_norm": 1.3646359707113385, + "kl": 0.03448486328125, + "learning_rate": 5.648148148148147e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 705 + }, + { + "completion_length": 110.515625, + "epoch": 0.8710672424429364, + "grad_norm": 0.10883991931713129, + "kl": 0.04052734375, + "learning_rate": 5.641975308641975e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 706 + }, + { + "completion_length": 123.484375, + "epoch": 0.8723010487353485, + "grad_norm": 0.13302679936872075, + "kl": 0.03363037109375, + "learning_rate": 5.635802469135802e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 707 + }, + { + "completion_length": 113.84375, + "epoch": 0.8735348550277606, + "grad_norm": 0.8388718197119287, + "kl": 0.042724609375, + "learning_rate": 5.62962962962963e-07, + "loss": 0.0017, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 708 + }, + { + "completion_length": 98.875, + "epoch": 0.8747686613201727, + "grad_norm": 0.09773410970706489, + "kl": 0.032958984375, + "learning_rate": 5.623456790123456e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 709 + }, + { + "completion_length": 105.46875, + "epoch": 0.8760024676125848, + "grad_norm": 1.418332748529176, + "kl": 0.0374755859375, + "learning_rate": 5.617283950617284e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 710 + }, + { + "completion_length": 81.953125, + "epoch": 0.8772362739049969, + "grad_norm": 0.12656538520820462, + "kl": 0.02752685546875, + "learning_rate": 5.611111111111111e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 711 + }, + { + "completion_length": 102.4375, + "epoch": 0.878470080197409, + "grad_norm": 1.5828634121479856, + "kl": 0.02752685546875, + "learning_rate": 5.604938271604937e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 712 + }, + { + "completion_length": 95.4375, + "epoch": 0.8797038864898211, + "grad_norm": 1.3795708379204845, + "kl": 0.0369873046875, + "learning_rate": 5.598765432098765e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 713 + }, + { + "completion_length": 110.171875, + "epoch": 0.8809376927822332, + "grad_norm": 0.12885713922155742, + "kl": 0.03515625, + "learning_rate": 5.592592592592592e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 714 + }, + { + "completion_length": 102.71875, + "epoch": 0.8821714990746453, + "grad_norm": 0.6647208515863664, + "kl": 0.02972412109375, + "learning_rate": 5.58641975308642e-07, + "loss": 0.0012, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 715 + }, + { + "completion_length": 89.84375, + "epoch": 0.8834053053670574, + "grad_norm": 0.7687651462186926, + "kl": 0.03546142578125, + "learning_rate": 5.580246913580246e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 716 + }, + { + "completion_length": 103.875, + "epoch": 0.8846391116594695, + "grad_norm": 0.15981117066795628, + "kl": 0.03271484375, + "learning_rate": 5.574074074074074e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 717 + }, + { + "completion_length": 89.59375, + "epoch": 0.8858729179518815, + "grad_norm": 0.30860782364514927, + "kl": 0.0328369140625, + "learning_rate": 5.567901234567901e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 718 + }, + { + "completion_length": 103.40625, + "epoch": 0.8871067242442936, + "grad_norm": 0.8553967700227283, + "kl": 0.0379638671875, + "learning_rate": 5.561728395061728e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 719 + }, + { + "completion_length": 96.171875, + "epoch": 0.8883405305367057, + "grad_norm": 0.6845436511935259, + "kl": 0.0338134765625, + "learning_rate": 5.555555555555555e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 720 + }, + { + "completion_length": 91.140625, + "epoch": 0.8895743368291178, + "grad_norm": 0.11306098241132524, + "kl": 0.03656005859375, + "learning_rate": 5.549382716049382e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 721 + }, + { + "completion_length": 101.609375, + "epoch": 0.8908081431215299, + "grad_norm": 0.9041806089280088, + "kl": 0.0487060546875, + "learning_rate": 5.54320987654321e-07, + "loss": 0.0019, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 722 + }, + { + "completion_length": 100.921875, + "epoch": 0.892041949413942, + "grad_norm": 0.14438904098620917, + "kl": 0.0234375, + "learning_rate": 5.537037037037037e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 723 + }, + { + "completion_length": 99.09375, + "epoch": 0.8932757557063541, + "grad_norm": 0.22056319904280486, + "kl": 0.0328369140625, + "learning_rate": 5.530864197530863e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 724 + }, + { + "completion_length": 95.21875, + "epoch": 0.8945095619987662, + "grad_norm": 0.7874860738444718, + "kl": 0.04345703125, + "learning_rate": 5.524691358024691e-07, + "loss": 0.0017, + "reward": 1.40625, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.5, + "step": 725 + }, + { + "completion_length": 97.78125, + "epoch": 0.8957433682911783, + "grad_norm": 0.11492952296942653, + "kl": 0.03369140625, + "learning_rate": 5.518518518518518e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 726 + }, + { + "completion_length": 116.609375, + "epoch": 0.8969771745835904, + "grad_norm": 1.4711904737226351, + "kl": 0.03558349609375, + "learning_rate": 5.512345679012345e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 727 + }, + { + "completion_length": 111.484375, + "epoch": 0.8982109808760025, + "grad_norm": 0.6187010676581436, + "kl": 0.0382080078125, + "learning_rate": 5.506172839506172e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 728 + }, + { + "completion_length": 94.609375, + "epoch": 0.8994447871684146, + "grad_norm": 0.828321094998922, + "kl": 0.0400390625, + "learning_rate": 5.5e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 729 + }, + { + "completion_length": 111.03125, + "epoch": 0.9006785934608267, + "grad_norm": 0.10693103228634156, + "kl": 0.03466796875, + "learning_rate": 5.493827160493827e-07, + "loss": 0.0014, + "reward": 1.375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 730 + }, + { + "completion_length": 104.328125, + "epoch": 0.9019123997532388, + "grad_norm": 0.1605900742688468, + "kl": 0.0333251953125, + "learning_rate": 5.487654320987653e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 731 + }, + { + "completion_length": 102.203125, + "epoch": 0.9031462060456509, + "grad_norm": 0.23414730399914255, + "kl": 0.03466796875, + "learning_rate": 5.481481481481481e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 732 + }, + { + "completion_length": 112.390625, + "epoch": 0.904380012338063, + "grad_norm": 1.0766788205294142, + "kl": 0.0421142578125, + "learning_rate": 5.475308641975308e-07, + "loss": 0.0017, + "reward": 1.4375, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 733 + }, + { + "completion_length": 109.96875, + "epoch": 0.905613818630475, + "grad_norm": 0.29830716407314173, + "kl": 0.03857421875, + "learning_rate": 5.469135802469136e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 734 + }, + { + "completion_length": 110.453125, + "epoch": 0.9068476249228871, + "grad_norm": 4.112105925319438, + "kl": 0.0347900390625, + "learning_rate": 5.462962962962962e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 735 + }, + { + "completion_length": 104.9375, + "epoch": 0.9080814312152992, + "grad_norm": 0.100966934335546, + "kl": 0.0330810546875, + "learning_rate": 5.45679012345679e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 736 + }, + { + "completion_length": 110.46875, + "epoch": 0.9093152375077113, + "grad_norm": 1.1584260131915738, + "kl": 0.0377197265625, + "learning_rate": 5.450617283950617e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 737 + }, + { + "completion_length": 114.84375, + "epoch": 0.9105490438001234, + "grad_norm": 0.0919063438779977, + "kl": 0.037109375, + "learning_rate": 5.444444444444443e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 738 + }, + { + "completion_length": 104.0, + "epoch": 0.9117828500925355, + "grad_norm": 0.10363909554799788, + "kl": 0.0443115234375, + "learning_rate": 5.438271604938271e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 739 + }, + { + "completion_length": 103.71875, + "epoch": 0.9130166563849476, + "grad_norm": 0.9508947474483296, + "kl": 0.03131103515625, + "learning_rate": 5.432098765432098e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 740 + }, + { + "completion_length": 122.59375, + "epoch": 0.9142504626773597, + "grad_norm": 0.1016261538965828, + "kl": 0.0386962890625, + "learning_rate": 5.425925925925926e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 741 + }, + { + "completion_length": 113.203125, + "epoch": 0.9154842689697718, + "grad_norm": 0.08832300484163848, + "kl": 0.0313720703125, + "learning_rate": 5.419753086419752e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 742 + }, + { + "completion_length": 120.203125, + "epoch": 0.9167180752621839, + "grad_norm": 0.14202466752849732, + "kl": 0.033447265625, + "learning_rate": 5.41358024691358e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 743 + }, + { + "completion_length": 98.578125, + "epoch": 0.917951881554596, + "grad_norm": 0.7367426507918151, + "kl": 0.0311279296875, + "learning_rate": 5.407407407407407e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 744 + }, + { + "completion_length": 102.796875, + "epoch": 0.919185687847008, + "grad_norm": 0.7893179699011489, + "kl": 0.03643798828125, + "learning_rate": 5.401234567901234e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 745 + }, + { + "completion_length": 101.34375, + "epoch": 0.9204194941394201, + "grad_norm": 1.4721883664150521, + "kl": 0.03472900390625, + "learning_rate": 5.395061728395061e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 746 + }, + { + "completion_length": 103.890625, + "epoch": 0.9216533004318322, + "grad_norm": 0.23142032097772008, + "kl": 0.044677734375, + "learning_rate": 5.388888888888888e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 747 + }, + { + "completion_length": 99.75, + "epoch": 0.9228871067242443, + "grad_norm": 0.7923695626152921, + "kl": 0.037353515625, + "learning_rate": 5.382716049382716e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 748 + }, + { + "completion_length": 118.703125, + "epoch": 0.9241209130166563, + "grad_norm": 0.14815550275104572, + "kl": 0.03143310546875, + "learning_rate": 5.376543209876542e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 749 + }, + { + "completion_length": 102.625, + "epoch": 0.9253547193090684, + "grad_norm": 2.639476467052268, + "kl": 0.04931640625, + "learning_rate": 5.37037037037037e-07, + "loss": 0.002, + "reward": 1.4609375, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 750 + }, + { + "completion_length": 104.078125, + "epoch": 0.9265885256014805, + "grad_norm": 0.08691885462044133, + "kl": 0.0362548828125, + "learning_rate": 5.364197530864197e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 751 + }, + { + "completion_length": 113.8125, + "epoch": 0.9278223318938926, + "grad_norm": 0.08165910222166516, + "kl": 0.03057861328125, + "learning_rate": 5.358024691358024e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 752 + }, + { + "completion_length": 103.84375, + "epoch": 0.9290561381863047, + "grad_norm": 0.924675227049689, + "kl": 0.034423828125, + "learning_rate": 5.351851851851851e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 753 + }, + { + "completion_length": 97.734375, + "epoch": 0.9302899444787168, + "grad_norm": 0.4846280563313137, + "kl": 0.02569580078125, + "learning_rate": 5.345679012345678e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 754 + }, + { + "completion_length": 95.53125, + "epoch": 0.9315237507711289, + "grad_norm": 0.15014480417025322, + "kl": 0.0382080078125, + "learning_rate": 5.339506172839506e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 755 + }, + { + "completion_length": 103.875, + "epoch": 0.932757557063541, + "grad_norm": 0.6472132428917067, + "kl": 0.033447265625, + "learning_rate": 5.333333333333333e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 756 + }, + { + "completion_length": 105.84375, + "epoch": 0.9339913633559531, + "grad_norm": 0.7570960071648538, + "kl": 0.03759765625, + "learning_rate": 5.327160493827159e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 757 + }, + { + "completion_length": 98.890625, + "epoch": 0.9352251696483652, + "grad_norm": 0.3944676788672842, + "kl": 0.0423583984375, + "learning_rate": 5.320987654320987e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 758 + }, + { + "completion_length": 103.765625, + "epoch": 0.9364589759407773, + "grad_norm": 0.9720205223072333, + "kl": 0.0374755859375, + "learning_rate": 5.314814814814814e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 759 + }, + { + "completion_length": 113.71875, + "epoch": 0.9376927822331894, + "grad_norm": 0.1063565093446416, + "kl": 0.0439453125, + "learning_rate": 5.308641975308642e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 760 + }, + { + "completion_length": 100.96875, + "epoch": 0.9389265885256015, + "grad_norm": 1.824701209020281, + "kl": 0.046630859375, + "learning_rate": 5.302469135802468e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 761 + }, + { + "completion_length": 103.3125, + "epoch": 0.9401603948180136, + "grad_norm": 0.7280582821186421, + "kl": 0.0372314453125, + "learning_rate": 5.296296296296296e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 762 + }, + { + "completion_length": 94.609375, + "epoch": 0.9413942011104257, + "grad_norm": 2.186029545883409, + "kl": 0.032958984375, + "learning_rate": 5.290123456790123e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 763 + }, + { + "completion_length": 94.015625, + "epoch": 0.9426280074028378, + "grad_norm": 1.968721343440177, + "kl": 0.03680419921875, + "learning_rate": 5.283950617283949e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 764 + }, + { + "completion_length": 101.734375, + "epoch": 0.9438618136952498, + "grad_norm": 0.08299451455109697, + "kl": 0.0350341796875, + "learning_rate": 5.277777777777777e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 765 + }, + { + "completion_length": 107.609375, + "epoch": 0.9450956199876619, + "grad_norm": 0.12113908196050857, + "kl": 0.03045654296875, + "learning_rate": 5.271604938271604e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 766 + }, + { + "completion_length": 98.421875, + "epoch": 0.946329426280074, + "grad_norm": 1.3747794681226384, + "kl": 0.03240966796875, + "learning_rate": 5.265432098765433e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 767 + }, + { + "completion_length": 119.6875, + "epoch": 0.9475632325724861, + "grad_norm": 2.7507593881214967, + "kl": 0.0482177734375, + "learning_rate": 5.259259259259258e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 768 + }, + { + "completion_length": 101.59375, + "epoch": 0.9487970388648982, + "grad_norm": 1.4306893275995223, + "kl": 0.029541015625, + "learning_rate": 5.253086419753087e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 769 + }, + { + "completion_length": 110.09375, + "epoch": 0.9500308451573103, + "grad_norm": 1.5179604856980848, + "kl": 0.038818359375, + "learning_rate": 5.246913580246914e-07, + "loss": 0.0016, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 770 + }, + { + "completion_length": 94.078125, + "epoch": 0.9512646514497224, + "grad_norm": 0.18075865118305506, + "kl": 0.0323486328125, + "learning_rate": 5.24074074074074e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 771 + }, + { + "completion_length": 98.546875, + "epoch": 0.9524984577421345, + "grad_norm": 0.6497198721676046, + "kl": 0.03564453125, + "learning_rate": 5.234567901234568e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 772 + }, + { + "completion_length": 100.296875, + "epoch": 0.9537322640345466, + "grad_norm": 0.5527808324368301, + "kl": 0.027099609375, + "learning_rate": 5.228395061728395e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 773 + }, + { + "completion_length": 111.703125, + "epoch": 0.9549660703269587, + "grad_norm": 0.10021874910827079, + "kl": 0.0469970703125, + "learning_rate": 5.222222222222223e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 774 + }, + { + "completion_length": 119.84375, + "epoch": 0.9561998766193708, + "grad_norm": 1.5024560967543, + "kl": 0.032958984375, + "learning_rate": 5.216049382716049e-07, + "loss": 0.0013, + "reward": 1.4453125, + "reward_std": 0.09106917679309845, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4765625, + "step": 775 + }, + { + "completion_length": 110.765625, + "epoch": 0.9574336829117829, + "grad_norm": 0.08922359839695546, + "kl": 0.0369873046875, + "learning_rate": 5.209876543209877e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 776 + }, + { + "completion_length": 114.859375, + "epoch": 0.958667489204195, + "grad_norm": 0.9402123106984673, + "kl": 0.0406494140625, + "learning_rate": 5.203703703703704e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 777 + }, + { + "completion_length": 109.984375, + "epoch": 0.9599012954966071, + "grad_norm": 0.13868286650864423, + "kl": 0.0372314453125, + "learning_rate": 5.197530864197531e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 778 + }, + { + "completion_length": 101.03125, + "epoch": 0.9611351017890192, + "grad_norm": 0.12351101154112767, + "kl": 0.0338134765625, + "learning_rate": 5.191358024691358e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 779 + }, + { + "completion_length": 114.390625, + "epoch": 0.9623689080814312, + "grad_norm": 0.5334086950364906, + "kl": 0.0360107421875, + "learning_rate": 5.185185185185185e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 780 + }, + { + "completion_length": 109.625, + "epoch": 0.9636027143738433, + "grad_norm": 1.7804463120761798, + "kl": 0.0394287109375, + "learning_rate": 5.179012345679013e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 781 + }, + { + "completion_length": 118.328125, + "epoch": 0.9648365206662554, + "grad_norm": 0.3973832053032912, + "kl": 0.03253173828125, + "learning_rate": 5.17283950617284e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 782 + }, + { + "completion_length": 118.375, + "epoch": 0.9660703269586675, + "grad_norm": 1.8025787545024297, + "kl": 0.03277587890625, + "learning_rate": 5.166666666666667e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 783 + }, + { + "completion_length": 109.109375, + "epoch": 0.9673041332510796, + "grad_norm": 1.492025574827932, + "kl": 0.04248046875, + "learning_rate": 5.160493827160494e-07, + "loss": 0.0017, + "reward": 1.390625, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.5, + "step": 784 + }, + { + "completion_length": 119.046875, + "epoch": 0.9685379395434917, + "grad_norm": 0.521386342458449, + "kl": 0.0357666015625, + "learning_rate": 5.154320987654321e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 785 + }, + { + "completion_length": 114.359375, + "epoch": 0.9697717458359038, + "grad_norm": 0.1441363264481806, + "kl": 0.0428466796875, + "learning_rate": 5.148148148148148e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 786 + }, + { + "completion_length": 119.859375, + "epoch": 0.9710055521283159, + "grad_norm": 0.1757396069249434, + "kl": 0.03619384765625, + "learning_rate": 5.141975308641975e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 787 + }, + { + "completion_length": 116.4375, + "epoch": 0.972239358420728, + "grad_norm": 7.403537318772185, + "kl": 0.0565185546875, + "learning_rate": 5.135802469135803e-07, + "loss": 0.0023, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 788 + }, + { + "completion_length": 114.25, + "epoch": 0.97347316471314, + "grad_norm": 0.11460036505860682, + "kl": 0.04443359375, + "learning_rate": 5.12962962962963e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 789 + }, + { + "completion_length": 111.515625, + "epoch": 0.9747069710055521, + "grad_norm": 0.09232317547353402, + "kl": 0.0347900390625, + "learning_rate": 5.123456790123457e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 790 + }, + { + "completion_length": 110.125, + "epoch": 0.9759407772979642, + "grad_norm": 1.4020409857653993, + "kl": 0.044677734375, + "learning_rate": 5.117283950617284e-07, + "loss": 0.0018, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 791 + }, + { + "completion_length": 115.359375, + "epoch": 0.9771745835903763, + "grad_norm": 0.13577100808127215, + "kl": 0.0394287109375, + "learning_rate": 5.111111111111111e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 792 + }, + { + "completion_length": 111.734375, + "epoch": 0.9784083898827884, + "grad_norm": 0.134876844884757, + "kl": 0.02972412109375, + "learning_rate": 5.104938271604939e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 793 + }, + { + "completion_length": 112.421875, + "epoch": 0.9796421961752005, + "grad_norm": 0.2712876765029857, + "kl": 0.045166015625, + "learning_rate": 5.098765432098765e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 794 + }, + { + "completion_length": 106.5625, + "epoch": 0.9808760024676126, + "grad_norm": 0.0873905165520131, + "kl": 0.04248046875, + "learning_rate": 5.092592592592593e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 795 + }, + { + "completion_length": 120.71875, + "epoch": 0.9821098087600246, + "grad_norm": 0.1328492326387482, + "kl": 0.03790283203125, + "learning_rate": 5.08641975308642e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 796 + }, + { + "completion_length": 122.796875, + "epoch": 0.9833436150524367, + "grad_norm": 0.1467343256111058, + "kl": 0.045654296875, + "learning_rate": 5.080246913580246e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 797 + }, + { + "completion_length": 117.109375, + "epoch": 0.9845774213448488, + "grad_norm": 0.7684462876261683, + "kl": 0.0516357421875, + "learning_rate": 5.074074074074074e-07, + "loss": 0.0021, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 798 + }, + { + "completion_length": 111.890625, + "epoch": 0.9858112276372609, + "grad_norm": 0.08691460112543298, + "kl": 0.0355224609375, + "learning_rate": 5.067901234567901e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 799 + }, + { + "completion_length": 100.796875, + "epoch": 0.987045033929673, + "grad_norm": 0.11111866864619756, + "kl": 0.0338134765625, + "learning_rate": 5.061728395061729e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 800 + }, + { + "completion_length": 106.578125, + "epoch": 0.9882788402220851, + "grad_norm": 1.8278791124568259, + "kl": 0.042236328125, + "learning_rate": 5.055555555555555e-07, + "loss": 0.0017, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4765625, + "step": 801 + }, + { + "completion_length": 96.78125, + "epoch": 0.9895126465144972, + "grad_norm": 0.46065749633011177, + "kl": 0.039794921875, + "learning_rate": 5.049382716049383e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 802 + }, + { + "completion_length": 102.640625, + "epoch": 0.9907464528069093, + "grad_norm": 0.19581235131156244, + "kl": 0.0343017578125, + "learning_rate": 5.04320987654321e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 803 + }, + { + "completion_length": 111.953125, + "epoch": 0.9919802590993214, + "grad_norm": 1.8399047874655219, + "kl": 0.043212890625, + "learning_rate": 5.037037037037037e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 804 + }, + { + "completion_length": 103.84375, + "epoch": 0.9932140653917335, + "grad_norm": 0.12226082912073322, + "kl": 0.041748046875, + "learning_rate": 5.030864197530864e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 805 + }, + { + "completion_length": 119.3125, + "epoch": 0.9944478716841456, + "grad_norm": 0.5835182253191582, + "kl": 0.03759765625, + "learning_rate": 5.024691358024691e-07, + "loss": 0.0015, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 806 + }, + { + "completion_length": 106.0, + "epoch": 0.9956816779765577, + "grad_norm": 0.8683030816621128, + "kl": 0.0562744140625, + "learning_rate": 5.018518518518519e-07, + "loss": 0.0023, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 807 + }, + { + "completion_length": 115.921875, + "epoch": 0.9969154842689698, + "grad_norm": 2.7297772183856828, + "kl": 0.03619384765625, + "learning_rate": 5.012345679012346e-07, + "loss": 0.0014, + "reward": 1.375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 808 + }, + { + "completion_length": 110.109375, + "epoch": 0.9981492905613819, + "grad_norm": 0.11058634761767992, + "kl": 0.0357666015625, + "learning_rate": 5.006172839506173e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 809 + }, + { + "completion_length": 106.515625, + "epoch": 0.999383096853794, + "grad_norm": 13.621893717878429, + "kl": 0.041015625, + "learning_rate": 5e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 810 + }, + { + "completion_length": 97.6875, + "epoch": 1.0, + "grad_norm": 13.621893717878429, + "kl": 0.039794921875, + "learning_rate": 4.993827160493827e-07, + "loss": 0.0008, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 811 + }, + { + "completion_length": 124.953125, + "epoch": 1.001233806292412, + "grad_norm": 0.11283172249098748, + "kl": 0.0504150390625, + "learning_rate": 4.987654320987654e-07, + "loss": 0.002, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 812 + }, + { + "completion_length": 105.171875, + "epoch": 1.0024676125848242, + "grad_norm": 0.6008869414625736, + "kl": 0.035400390625, + "learning_rate": 4.981481481481482e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 813 + }, + { + "completion_length": 117.578125, + "epoch": 1.0037014188772362, + "grad_norm": 0.0999191237971359, + "kl": 0.0406494140625, + "learning_rate": 4.975308641975308e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 814 + }, + { + "completion_length": 118.015625, + "epoch": 1.0049352251696484, + "grad_norm": 0.08106102080141366, + "kl": 0.0390625, + "learning_rate": 4.969135802469136e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 815 + }, + { + "completion_length": 113.828125, + "epoch": 1.0061690314620604, + "grad_norm": 0.0709772053598309, + "kl": 0.03216552734375, + "learning_rate": 4.962962962962963e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 816 + }, + { + "completion_length": 106.296875, + "epoch": 1.0074028377544726, + "grad_norm": 0.09529897970563836, + "kl": 0.0478515625, + "learning_rate": 4.95679012345679e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 817 + }, + { + "completion_length": 97.09375, + "epoch": 1.0086366440468846, + "grad_norm": 0.17165118691731818, + "kl": 0.03564453125, + "learning_rate": 4.950617283950617e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 818 + }, + { + "completion_length": 120.75, + "epoch": 1.0098704503392968, + "grad_norm": 0.7003461318271768, + "kl": 0.0625, + "learning_rate": 4.944444444444445e-07, + "loss": 0.0025, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 819 + }, + { + "completion_length": 119.171875, + "epoch": 1.0111042566317088, + "grad_norm": 1.1323716120571596, + "kl": 0.037353515625, + "learning_rate": 4.938271604938271e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 820 + }, + { + "completion_length": 112.78125, + "epoch": 1.012338062924121, + "grad_norm": 0.0775582546336931, + "kl": 0.03753662109375, + "learning_rate": 4.932098765432099e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 821 + }, + { + "completion_length": 107.78125, + "epoch": 1.013571869216533, + "grad_norm": 0.09805854733604995, + "kl": 0.03448486328125, + "learning_rate": 4.925925925925926e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 822 + }, + { + "completion_length": 99.6875, + "epoch": 1.0148056755089452, + "grad_norm": 0.19384527172245766, + "kl": 0.0435791015625, + "learning_rate": 4.919753086419753e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 823 + }, + { + "completion_length": 92.53125, + "epoch": 1.0160394818013572, + "grad_norm": 1.5674044125175615, + "kl": 0.0321044921875, + "learning_rate": 4.91358024691358e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 824 + }, + { + "completion_length": 115.71875, + "epoch": 1.0172732880937694, + "grad_norm": 0.11442941438409869, + "kl": 0.02459716796875, + "learning_rate": 4.907407407407407e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 825 + }, + { + "completion_length": 110.984375, + "epoch": 1.0185070943861814, + "grad_norm": 0.10445005401804675, + "kl": 0.0401611328125, + "learning_rate": 4.901234567901235e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 826 + }, + { + "completion_length": 103.4375, + "epoch": 1.0197409006785934, + "grad_norm": 1.3672970791689913, + "kl": 0.0496826171875, + "learning_rate": 4.895061728395061e-07, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 827 + }, + { + "completion_length": 116.875, + "epoch": 1.0209747069710056, + "grad_norm": 0.13529047634667216, + "kl": 0.039794921875, + "learning_rate": 4.888888888888889e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 828 + }, + { + "completion_length": 96.515625, + "epoch": 1.0222085132634176, + "grad_norm": 0.12033493126464882, + "kl": 0.02899169921875, + "learning_rate": 4.882716049382716e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 829 + }, + { + "completion_length": 103.84375, + "epoch": 1.0234423195558298, + "grad_norm": 2.236506665727317, + "kl": 0.0384521484375, + "learning_rate": 4.876543209876543e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 830 + }, + { + "completion_length": 112.125, + "epoch": 1.0246761258482417, + "grad_norm": 1.04749635137532, + "kl": 0.03253173828125, + "learning_rate": 4.87037037037037e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 831 + }, + { + "completion_length": 92.484375, + "epoch": 1.025909932140654, + "grad_norm": 2.9706888200760497, + "kl": 0.0401611328125, + "learning_rate": 4.864197530864198e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 832 + }, + { + "completion_length": 100.3125, + "epoch": 1.027143738433066, + "grad_norm": 0.09553999356759801, + "kl": 0.0399169921875, + "learning_rate": 4.858024691358025e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 833 + }, + { + "completion_length": 106.53125, + "epoch": 1.0283775447254782, + "grad_norm": 0.15537682989409868, + "kl": 0.0357666015625, + "learning_rate": 4.851851851851852e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 834 + }, + { + "completion_length": 99.296875, + "epoch": 1.0296113510178901, + "grad_norm": 0.10108086337546517, + "kl": 0.02606201171875, + "learning_rate": 4.845679012345679e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 835 + }, + { + "completion_length": 105.09375, + "epoch": 1.0308451573103024, + "grad_norm": 0.1343582207739812, + "kl": 0.03216552734375, + "learning_rate": 4.839506172839506e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 836 + }, + { + "completion_length": 101.828125, + "epoch": 1.0320789636027143, + "grad_norm": 0.07971376080350463, + "kl": 0.026611328125, + "learning_rate": 4.833333333333333e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 837 + }, + { + "completion_length": 122.671875, + "epoch": 1.0333127698951265, + "grad_norm": 0.12631439847512077, + "kl": 0.0458984375, + "learning_rate": 4.82716049382716e-07, + "loss": 0.0018, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 838 + }, + { + "completion_length": 120.390625, + "epoch": 1.0345465761875385, + "grad_norm": 3.7420107669856493, + "kl": 0.02410888671875, + "learning_rate": 4.820987654320988e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 839 + }, + { + "completion_length": 126.640625, + "epoch": 1.0357803824799507, + "grad_norm": 0.7250408733966383, + "kl": 0.0438232421875, + "learning_rate": 4.814814814814814e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 840 + }, + { + "completion_length": 121.203125, + "epoch": 1.0370141887723627, + "grad_norm": 0.6540004539950565, + "kl": 0.0443115234375, + "learning_rate": 4.808641975308642e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 841 + }, + { + "completion_length": 117.703125, + "epoch": 1.0382479950647747, + "grad_norm": 1.0974323163041055, + "kl": 0.02899169921875, + "learning_rate": 4.802469135802469e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 842 + }, + { + "completion_length": 111.53125, + "epoch": 1.039481801357187, + "grad_norm": 0.7822430365141745, + "kl": 0.04150390625, + "learning_rate": 4.796296296296296e-07, + "loss": 0.0017, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 843 + }, + { + "completion_length": 113.78125, + "epoch": 1.040715607649599, + "grad_norm": 0.8164610421822276, + "kl": 0.034423828125, + "learning_rate": 4.790123456790123e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 844 + }, + { + "completion_length": 106.359375, + "epoch": 1.0419494139420111, + "grad_norm": 0.6564888601073846, + "kl": 0.04150390625, + "learning_rate": 4.783950617283951e-07, + "loss": 0.0017, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 845 + }, + { + "completion_length": 103.6875, + "epoch": 1.0431832202344231, + "grad_norm": 1.0854941997096796, + "kl": 0.03082275390625, + "learning_rate": 4.777777777777778e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 846 + }, + { + "completion_length": 105.3125, + "epoch": 1.0444170265268353, + "grad_norm": 0.15267967927941173, + "kl": 0.02880859375, + "learning_rate": 4.771604938271604e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 847 + }, + { + "completion_length": 103.03125, + "epoch": 1.0456508328192473, + "grad_norm": 2.6091552557712525, + "kl": 0.05804443359375, + "learning_rate": 4.7654320987654315e-07, + "loss": 0.0023, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 848 + }, + { + "completion_length": 96.75, + "epoch": 1.0468846391116595, + "grad_norm": 0.1064188743534693, + "kl": 0.02911376953125, + "learning_rate": 4.759259259259259e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 849 + }, + { + "completion_length": 101.984375, + "epoch": 1.0481184454040715, + "grad_norm": 0.07715414582875489, + "kl": 0.03497314453125, + "learning_rate": 4.753086419753086e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 850 + }, + { + "completion_length": 102.203125, + "epoch": 1.0493522516964837, + "grad_norm": 0.6877567781023584, + "kl": 0.0491943359375, + "learning_rate": 4.7469135802469135e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.029919598251581192, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 851 + }, + { + "completion_length": 101.53125, + "epoch": 1.0505860579888957, + "grad_norm": 0.2601524771177452, + "kl": 0.02691650390625, + "learning_rate": 4.7407407407407405e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 852 + }, + { + "completion_length": 108.015625, + "epoch": 1.051819864281308, + "grad_norm": 1.0280094910812831, + "kl": 0.0380859375, + "learning_rate": 4.734567901234568e-07, + "loss": 0.0015, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 853 + }, + { + "completion_length": 103.28125, + "epoch": 1.05305367057372, + "grad_norm": 2.246978781853509, + "kl": 0.02764892578125, + "learning_rate": 4.7283950617283945e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 854 + }, + { + "completion_length": 104.171875, + "epoch": 1.0542874768661321, + "grad_norm": 0.5467342422322008, + "kl": 0.03277587890625, + "learning_rate": 4.722222222222222e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 855 + }, + { + "completion_length": 104.234375, + "epoch": 1.055521283158544, + "grad_norm": 1.372977803503431, + "kl": 0.0369873046875, + "learning_rate": 4.716049382716049e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 856 + }, + { + "completion_length": 103.015625, + "epoch": 1.0567550894509563, + "grad_norm": 0.15318810988374282, + "kl": 0.02960205078125, + "learning_rate": 4.7098765432098766e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 857 + }, + { + "completion_length": 106.265625, + "epoch": 1.0579888957433683, + "grad_norm": 0.08378904917392088, + "kl": 0.0330810546875, + "learning_rate": 4.7037037037037036e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 858 + }, + { + "completion_length": 121.609375, + "epoch": 1.0592227020357803, + "grad_norm": 4.89312319382773, + "kl": 0.09375, + "learning_rate": 4.697530864197531e-07, + "loss": 0.0038, + "reward": 1.421875, + "reward_std": 0.15625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.46875, + "step": 859 + }, + { + "completion_length": 100.578125, + "epoch": 1.0604565083281925, + "grad_norm": 2.799114309021359, + "kl": 0.04248046875, + "learning_rate": 4.6913580246913576e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 860 + }, + { + "completion_length": 120.921875, + "epoch": 1.0616903146206045, + "grad_norm": 0.08071394452777102, + "kl": 0.04052734375, + "learning_rate": 4.6851851851851846e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 861 + }, + { + "completion_length": 110.515625, + "epoch": 1.0629241209130167, + "grad_norm": 0.7499829276678344, + "kl": 0.2783203125, + "learning_rate": 4.679012345679012e-07, + "loss": 0.0112, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 862 + }, + { + "completion_length": 109.703125, + "epoch": 1.0641579272054287, + "grad_norm": 6.473390541176253, + "kl": 0.05029296875, + "learning_rate": 4.672839506172839e-07, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 863 + }, + { + "completion_length": 114.8125, + "epoch": 1.0653917334978409, + "grad_norm": 0.5129742246355778, + "kl": 0.04638671875, + "learning_rate": 4.6666666666666666e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 864 + }, + { + "completion_length": 112.46875, + "epoch": 1.0666255397902529, + "grad_norm": 0.11387779162833267, + "kl": 0.03558349609375, + "learning_rate": 4.6604938271604936e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 865 + }, + { + "completion_length": 108.15625, + "epoch": 1.067859346082665, + "grad_norm": 0.13381901682447175, + "kl": 0.0443115234375, + "learning_rate": 4.654320987654321e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 866 + }, + { + "completion_length": 107.359375, + "epoch": 1.069093152375077, + "grad_norm": 1.4179886100885364, + "kl": 0.0323486328125, + "learning_rate": 4.6481481481481476e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 867 + }, + { + "completion_length": 99.71875, + "epoch": 1.0703269586674893, + "grad_norm": 0.9496568998669732, + "kl": 0.047607421875, + "learning_rate": 4.641975308641975e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4765625, + "step": 868 + }, + { + "completion_length": 106.84375, + "epoch": 1.0715607649599013, + "grad_norm": 2.3344280444592096, + "kl": 0.030517578125, + "learning_rate": 4.635802469135802e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 869 + }, + { + "completion_length": 105.390625, + "epoch": 1.0727945712523135, + "grad_norm": 0.11197761282318389, + "kl": 0.030029296875, + "learning_rate": 4.6296296296296297e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 870 + }, + { + "completion_length": 103.09375, + "epoch": 1.0740283775447255, + "grad_norm": 0.4365487659886138, + "kl": 0.0390625, + "learning_rate": 4.6234567901234567e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 871 + }, + { + "completion_length": 101.609375, + "epoch": 1.0752621838371375, + "grad_norm": 0.8421860139755155, + "kl": 0.03436279296875, + "learning_rate": 4.6172839506172837e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 872 + }, + { + "completion_length": 99.28125, + "epoch": 1.0764959901295497, + "grad_norm": 1.4387307693880016, + "kl": 0.03167724609375, + "learning_rate": 4.611111111111111e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 873 + }, + { + "completion_length": 98.78125, + "epoch": 1.0777297964219616, + "grad_norm": 1.6132817335679404, + "kl": 0.03253173828125, + "learning_rate": 4.6049382716049377e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 874 + }, + { + "completion_length": 92.828125, + "epoch": 1.0789636027143739, + "grad_norm": 5.2292969497598, + "kl": 0.02471923828125, + "learning_rate": 4.598765432098765e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 875 + }, + { + "completion_length": 97.671875, + "epoch": 1.0801974090067858, + "grad_norm": 0.9448650212234146, + "kl": 0.0357666015625, + "learning_rate": 4.592592592592592e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 876 + }, + { + "completion_length": 100.671875, + "epoch": 1.081431215299198, + "grad_norm": 0.182145258861091, + "kl": 0.0389404296875, + "learning_rate": 4.5864197530864197e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 877 + }, + { + "completion_length": 116.171875, + "epoch": 1.08266502159161, + "grad_norm": 0.8685382412021513, + "kl": 0.043701171875, + "learning_rate": 4.5802469135802467e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 878 + }, + { + "completion_length": 96.15625, + "epoch": 1.0838988278840223, + "grad_norm": 0.440128654216578, + "kl": 0.03289794921875, + "learning_rate": 4.574074074074074e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.04419417306780815, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 879 + }, + { + "completion_length": 91.46875, + "epoch": 1.0851326341764342, + "grad_norm": 0.9186109323535507, + "kl": 0.037353515625, + "learning_rate": 4.5679012345679007e-07, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 880 + }, + { + "completion_length": 88.734375, + "epoch": 1.0863664404688465, + "grad_norm": 1.7943105603627294, + "kl": 0.033935546875, + "learning_rate": 4.561728395061728e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 881 + }, + { + "completion_length": 101.25, + "epoch": 1.0876002467612584, + "grad_norm": 5.140955747084265, + "kl": 0.042236328125, + "learning_rate": 4.555555555555555e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 882 + }, + { + "completion_length": 100.953125, + "epoch": 1.0888340530536706, + "grad_norm": 1.9822819130155516, + "kl": 0.038818359375, + "learning_rate": 4.549382716049383e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 883 + }, + { + "completion_length": 102.328125, + "epoch": 1.0900678593460826, + "grad_norm": 2.0501373703287693, + "kl": 0.0404052734375, + "learning_rate": 4.54320987654321e-07, + "loss": 0.0016, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.46875, + "step": 884 + }, + { + "completion_length": 93.484375, + "epoch": 1.0913016656384948, + "grad_norm": 0.7917514647076997, + "kl": 0.035400390625, + "learning_rate": 4.537037037037037e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 885 + }, + { + "completion_length": 89.625, + "epoch": 1.0925354719309068, + "grad_norm": 3.5209385765570422, + "kl": 0.02825927734375, + "learning_rate": 4.5308641975308643e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 886 + }, + { + "completion_length": 112.25, + "epoch": 1.093769278223319, + "grad_norm": 0.12747389015323327, + "kl": 0.03759765625, + "learning_rate": 4.524691358024691e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 887 + }, + { + "completion_length": 96.09375, + "epoch": 1.095003084515731, + "grad_norm": 1.5967624978696475, + "kl": 0.03802490234375, + "learning_rate": 4.5185185185185183e-07, + "loss": 0.0015, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 888 + }, + { + "completion_length": 91.125, + "epoch": 1.096236890808143, + "grad_norm": 1.7364625371488427, + "kl": 0.056396484375, + "learning_rate": 4.5123456790123453e-07, + "loss": 0.0023, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 889 + }, + { + "completion_length": 87.171875, + "epoch": 1.0974706971005552, + "grad_norm": 0.88640068901678, + "kl": 0.02655029296875, + "learning_rate": 4.506172839506173e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 890 + }, + { + "completion_length": 97.46875, + "epoch": 1.0987045033929672, + "grad_norm": 1.2153179641834122, + "kl": 0.0357666015625, + "learning_rate": 4.5e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 891 + }, + { + "completion_length": 88.59375, + "epoch": 1.0999383096853794, + "grad_norm": 4.132564795026669, + "kl": 0.0517578125, + "learning_rate": 4.4938271604938273e-07, + "loss": 0.0021, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 892 + }, + { + "completion_length": 101.546875, + "epoch": 1.1011721159777914, + "grad_norm": 0.1627762774739971, + "kl": 0.034423828125, + "learning_rate": 4.487654320987654e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 893 + }, + { + "completion_length": 98.65625, + "epoch": 1.1024059222702036, + "grad_norm": 0.8590189072772114, + "kl": 0.03216552734375, + "learning_rate": 4.4814814814814813e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 894 + }, + { + "completion_length": 95.25, + "epoch": 1.1036397285626156, + "grad_norm": 0.11666649539445688, + "kl": 0.0299072265625, + "learning_rate": 4.4753086419753083e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 895 + }, + { + "completion_length": 100.5625, + "epoch": 1.1048735348550278, + "grad_norm": 1.2025267473186672, + "kl": 0.03369140625, + "learning_rate": 4.4691358024691353e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 896 + }, + { + "completion_length": 94.0, + "epoch": 1.1061073411474398, + "grad_norm": 0.11422790109374045, + "kl": 0.03173828125, + "learning_rate": 4.462962962962963e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 897 + }, + { + "completion_length": 91.46875, + "epoch": 1.107341147439852, + "grad_norm": 1.518556060095051, + "kl": 0.03082275390625, + "learning_rate": 4.45679012345679e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 898 + }, + { + "completion_length": 106.875, + "epoch": 1.108574953732264, + "grad_norm": 0.24520040551507136, + "kl": 0.03607177734375, + "learning_rate": 4.4506172839506174e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 899 + }, + { + "completion_length": 110.09375, + "epoch": 1.1098087600246762, + "grad_norm": 0.56305969874247, + "kl": 0.0306396484375, + "learning_rate": 4.444444444444444e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 900 + }, + { + "completion_length": 94.5625, + "epoch": 1.1110425663170882, + "grad_norm": 0.7238892069630101, + "kl": 0.0260009765625, + "learning_rate": 4.4382716049382714e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 901 + }, + { + "completion_length": 103.71875, + "epoch": 1.1122763726095004, + "grad_norm": 0.7766067308887514, + "kl": 0.041015625, + "learning_rate": 4.4320987654320984e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 902 + }, + { + "completion_length": 107.734375, + "epoch": 1.1135101789019124, + "grad_norm": 1.5680791007890336, + "kl": 0.0352783203125, + "learning_rate": 4.425925925925926e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 903 + }, + { + "completion_length": 104.6875, + "epoch": 1.1147439851943246, + "grad_norm": 0.17748225580436272, + "kl": 0.04443359375, + "learning_rate": 4.419753086419753e-07, + "loss": 0.0018, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 904 + }, + { + "completion_length": 97.234375, + "epoch": 1.1159777914867366, + "grad_norm": 0.8577035421179297, + "kl": 0.041748046875, + "learning_rate": 4.4135802469135804e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 905 + }, + { + "completion_length": 98.09375, + "epoch": 1.1172115977791486, + "grad_norm": 0.9156499818223034, + "kl": 0.0347900390625, + "learning_rate": 4.4074074074074074e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 906 + }, + { + "completion_length": 100.46875, + "epoch": 1.1184454040715608, + "grad_norm": 1.4692060833473988, + "kl": 0.0595703125, + "learning_rate": 4.4012345679012344e-07, + "loss": 0.0024, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 907 + }, + { + "completion_length": 104.109375, + "epoch": 1.1196792103639728, + "grad_norm": 2.4259211062147816, + "kl": 0.0355224609375, + "learning_rate": 4.3950617283950614e-07, + "loss": 0.0014, + "reward": 1.3515625, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.859375, + "rewards/format_reward": 0.4921875, + "step": 908 + }, + { + "completion_length": 97.3125, + "epoch": 1.120913016656385, + "grad_norm": 1.3096446890065456, + "kl": 0.03936767578125, + "learning_rate": 4.3888888888888884e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 909 + }, + { + "completion_length": 99.75, + "epoch": 1.122146822948797, + "grad_norm": 0.14249227613066753, + "kl": 0.03521728515625, + "learning_rate": 4.382716049382716e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 910 + }, + { + "completion_length": 108.40625, + "epoch": 1.1233806292412092, + "grad_norm": 0.11419912804737853, + "kl": 0.0364990234375, + "learning_rate": 4.376543209876543e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 911 + }, + { + "completion_length": 88.71875, + "epoch": 1.1246144355336212, + "grad_norm": 1.7527399604783866, + "kl": 0.0374755859375, + "learning_rate": 4.3703703703703704e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 912 + }, + { + "completion_length": 92.0625, + "epoch": 1.1258482418260334, + "grad_norm": 0.663073067863854, + "kl": 0.0322265625, + "learning_rate": 4.364197530864197e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 913 + }, + { + "completion_length": 97.03125, + "epoch": 1.1270820481184454, + "grad_norm": 0.8682346806743364, + "kl": 0.02880859375, + "learning_rate": 4.3580246913580244e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 914 + }, + { + "completion_length": 99.328125, + "epoch": 1.1283158544108576, + "grad_norm": 0.14938626448896794, + "kl": 0.03302001953125, + "learning_rate": 4.3518518518518514e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 915 + }, + { + "completion_length": 105.65625, + "epoch": 1.1295496607032696, + "grad_norm": 0.11092211267469985, + "kl": 0.02838134765625, + "learning_rate": 4.345679012345679e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 916 + }, + { + "completion_length": 110.921875, + "epoch": 1.1307834669956818, + "grad_norm": 0.1868356297015996, + "kl": 0.026611328125, + "learning_rate": 4.339506172839506e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 917 + }, + { + "completion_length": 99.375, + "epoch": 1.1320172732880938, + "grad_norm": 0.5875022633989776, + "kl": 0.045654296875, + "learning_rate": 4.3333333333333335e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 918 + }, + { + "completion_length": 89.875, + "epoch": 1.1332510795805057, + "grad_norm": 7.434442557151675, + "kl": 0.03125, + "learning_rate": 4.3271604938271605e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 919 + }, + { + "completion_length": 88.984375, + "epoch": 1.134484885872918, + "grad_norm": 0.10202755820080277, + "kl": 0.0345458984375, + "learning_rate": 4.320987654320987e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 920 + }, + { + "completion_length": 104.96875, + "epoch": 1.13571869216533, + "grad_norm": 0.12033172670811522, + "kl": 0.0479736328125, + "learning_rate": 4.3148148148148145e-07, + "loss": 0.0019, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 921 + }, + { + "completion_length": 108.859375, + "epoch": 1.1369524984577422, + "grad_norm": 1.644064505325381, + "kl": 0.04840087890625, + "learning_rate": 4.3086419753086415e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 922 + }, + { + "completion_length": 100.40625, + "epoch": 1.1381863047501541, + "grad_norm": 0.17991006801851295, + "kl": 0.03173828125, + "learning_rate": 4.302469135802469e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 923 + }, + { + "completion_length": 109.90625, + "epoch": 1.1394201110425664, + "grad_norm": 0.5751819659002965, + "kl": 0.036376953125, + "learning_rate": 4.296296296296296e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 924 + }, + { + "completion_length": 103.640625, + "epoch": 1.1406539173349783, + "grad_norm": 0.721083044113014, + "kl": 0.03814697265625, + "learning_rate": 4.2901234567901235e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 925 + }, + { + "completion_length": 102.296875, + "epoch": 1.1418877236273905, + "grad_norm": 0.6998409219970751, + "kl": 0.02557373046875, + "learning_rate": 4.2839506172839505e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 926 + }, + { + "completion_length": 109.65625, + "epoch": 1.1431215299198025, + "grad_norm": 0.15025296736215096, + "kl": 0.02630615234375, + "learning_rate": 4.2777777777777775e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 927 + }, + { + "completion_length": 105.5625, + "epoch": 1.1443553362122147, + "grad_norm": 0.272834676882138, + "kl": 0.036376953125, + "learning_rate": 4.2716049382716045e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 928 + }, + { + "completion_length": 98.375, + "epoch": 1.1455891425046267, + "grad_norm": 1.0834752713146203, + "kl": 0.0318603515625, + "learning_rate": 4.265432098765432e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 929 + }, + { + "completion_length": 109.71875, + "epoch": 1.146822948797039, + "grad_norm": 0.493365674019029, + "kl": 0.0296630859375, + "learning_rate": 4.259259259259259e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 930 + }, + { + "completion_length": 107.75, + "epoch": 1.148056755089451, + "grad_norm": 0.1076695012564835, + "kl": 0.031494140625, + "learning_rate": 4.2530864197530866e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 931 + }, + { + "completion_length": 99.875, + "epoch": 1.1492905613818631, + "grad_norm": 0.5960101511640576, + "kl": 0.031982421875, + "learning_rate": 4.2469135802469136e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 932 + }, + { + "completion_length": 97.46875, + "epoch": 1.1505243676742751, + "grad_norm": 0.2715119005676275, + "kl": 0.04345703125, + "learning_rate": 4.24074074074074e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 933 + }, + { + "completion_length": 95.015625, + "epoch": 1.1517581739666873, + "grad_norm": 0.8507438258913939, + "kl": 0.02978515625, + "learning_rate": 4.2345679012345676e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 934 + }, + { + "completion_length": 112.5, + "epoch": 1.1529919802590993, + "grad_norm": 0.09697319511242769, + "kl": 0.430908203125, + "learning_rate": 4.2283950617283946e-07, + "loss": 0.0172, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 935 + }, + { + "completion_length": 109.578125, + "epoch": 1.1542257865515113, + "grad_norm": 15.47741028451721, + "kl": 0.0460205078125, + "learning_rate": 4.222222222222222e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 936 + }, + { + "completion_length": 111.25, + "epoch": 1.1554595928439235, + "grad_norm": 2.0936294195094796, + "kl": 0.0450439453125, + "learning_rate": 4.216049382716049e-07, + "loss": 0.0018, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 937 + }, + { + "completion_length": 97.234375, + "epoch": 1.1566933991363355, + "grad_norm": 0.10091614798976202, + "kl": 0.047607421875, + "learning_rate": 4.2098765432098766e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 938 + }, + { + "completion_length": 108.234375, + "epoch": 1.1579272054287477, + "grad_norm": 0.8138528725839687, + "kl": 0.0408935546875, + "learning_rate": 4.2037037037037036e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 939 + }, + { + "completion_length": 105.171875, + "epoch": 1.1591610117211597, + "grad_norm": 0.6907105502295889, + "kl": 0.03765869140625, + "learning_rate": 4.1975308641975306e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 940 + }, + { + "completion_length": 110.359375, + "epoch": 1.160394818013572, + "grad_norm": 1.0924313027570964, + "kl": 0.0423583984375, + "learning_rate": 4.1913580246913576e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 941 + }, + { + "completion_length": 107.421875, + "epoch": 1.161628624305984, + "grad_norm": 1.6487934586699038, + "kl": 0.04046630859375, + "learning_rate": 4.185185185185185e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 942 + }, + { + "completion_length": 99.90625, + "epoch": 1.1628624305983961, + "grad_norm": 0.6569580598314271, + "kl": 0.060302734375, + "learning_rate": 4.179012345679012e-07, + "loss": 0.0024, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 943 + }, + { + "completion_length": 114.015625, + "epoch": 1.164096236890808, + "grad_norm": 1.5246978979085806, + "kl": 0.10595703125, + "learning_rate": 4.1728395061728397e-07, + "loss": 0.0042, + "reward": 1.421875, + "reward_std": 0.15625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.46875, + "step": 944 + }, + { + "completion_length": 96.984375, + "epoch": 1.1653300431832203, + "grad_norm": 1.775102707629456, + "kl": 0.05419921875, + "learning_rate": 4.1666666666666667e-07, + "loss": 0.0022, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 945 + }, + { + "completion_length": 89.828125, + "epoch": 1.1665638494756323, + "grad_norm": 1.9823740497737126, + "kl": 0.055908203125, + "learning_rate": 4.1604938271604937e-07, + "loss": 0.0022, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 946 + }, + { + "completion_length": 99.4375, + "epoch": 1.1677976557680445, + "grad_norm": 1.5353204335451438, + "kl": 0.0462646484375, + "learning_rate": 4.1543209876543206e-07, + "loss": 0.0019, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 947 + }, + { + "completion_length": 117.421875, + "epoch": 1.1690314620604565, + "grad_norm": 1.388628250133678, + "kl": 0.0526123046875, + "learning_rate": 4.1481481481481476e-07, + "loss": 0.0021, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4765625, + "step": 948 + }, + { + "completion_length": 111.03125, + "epoch": 1.1702652683528685, + "grad_norm": 2.376871170507632, + "kl": 0.0699462890625, + "learning_rate": 4.141975308641975e-07, + "loss": 0.0028, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 949 + }, + { + "completion_length": 105.21875, + "epoch": 1.1714990746452807, + "grad_norm": 0.1190127477256778, + "kl": 0.056884765625, + "learning_rate": 4.135802469135802e-07, + "loss": 0.0023, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 950 + }, + { + "completion_length": 95.359375, + "epoch": 1.172732880937693, + "grad_norm": 0.23438933480042204, + "kl": 0.072265625, + "learning_rate": 4.1296296296296297e-07, + "loss": 0.0029, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 951 + }, + { + "completion_length": 96.28125, + "epoch": 1.1739666872301049, + "grad_norm": 0.14084518489043293, + "kl": 0.08251953125, + "learning_rate": 4.1234567901234567e-07, + "loss": 0.0033, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 952 + }, + { + "completion_length": 112.796875, + "epoch": 1.1752004935225169, + "grad_norm": 3.946841142031487, + "kl": 0.078369140625, + "learning_rate": 4.1172839506172837e-07, + "loss": 0.0031, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 953 + }, + { + "completion_length": 96.140625, + "epoch": 1.176434299814929, + "grad_norm": 0.12725149323822393, + "kl": 0.0526123046875, + "learning_rate": 4.1111111111111107e-07, + "loss": 0.0021, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 954 + }, + { + "completion_length": 98.34375, + "epoch": 1.177668106107341, + "grad_norm": 1.2089706985800026, + "kl": 0.06689453125, + "learning_rate": 4.104938271604938e-07, + "loss": 0.0027, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 955 + }, + { + "completion_length": 98.765625, + "epoch": 1.1789019123997533, + "grad_norm": 1.1596565742196614, + "kl": 0.0631103515625, + "learning_rate": 4.098765432098765e-07, + "loss": 0.0025, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 956 + }, + { + "completion_length": 106.484375, + "epoch": 1.1801357186921653, + "grad_norm": 1.9327955224177524, + "kl": 0.13818359375, + "learning_rate": 4.092592592592593e-07, + "loss": 0.0055, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 957 + }, + { + "completion_length": 93.375, + "epoch": 1.1813695249845775, + "grad_norm": 1.824469398585932, + "kl": 0.076904296875, + "learning_rate": 4.08641975308642e-07, + "loss": 0.0031, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 958 + }, + { + "completion_length": 105.390625, + "epoch": 1.1826033312769895, + "grad_norm": 0.14629977384177578, + "kl": 0.0498046875, + "learning_rate": 4.080246913580247e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 959 + }, + { + "completion_length": 111.1875, + "epoch": 1.1838371375694017, + "grad_norm": 0.2226568649471308, + "kl": 0.055908203125, + "learning_rate": 4.0740740740740737e-07, + "loss": 0.0022, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 960 + }, + { + "completion_length": 104.578125, + "epoch": 1.1850709438618137, + "grad_norm": 1.290469616659025, + "kl": 0.041015625, + "learning_rate": 4.0679012345679007e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 961 + }, + { + "completion_length": 115.796875, + "epoch": 1.1863047501542259, + "grad_norm": 1.0169738529095533, + "kl": 0.0355224609375, + "learning_rate": 4.061728395061728e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 962 + }, + { + "completion_length": 103.453125, + "epoch": 1.1875385564466379, + "grad_norm": 0.077272418038419, + "kl": 0.0391845703125, + "learning_rate": 4.055555555555555e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 963 + }, + { + "completion_length": 115.15625, + "epoch": 1.18877236273905, + "grad_norm": 0.09728877301071726, + "kl": 0.030517578125, + "learning_rate": 4.049382716049383e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 964 + }, + { + "completion_length": 109.5, + "epoch": 1.190006169031462, + "grad_norm": 0.09376361963352317, + "kl": 0.051513671875, + "learning_rate": 4.04320987654321e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 965 + }, + { + "completion_length": 129.734375, + "epoch": 1.191239975323874, + "grad_norm": 1.3936714285969216, + "kl": 0.0364990234375, + "learning_rate": 4.0370370370370373e-07, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 966 + }, + { + "completion_length": 113.796875, + "epoch": 1.1924737816162863, + "grad_norm": 1.1051441240497513, + "kl": 0.041748046875, + "learning_rate": 4.030864197530864e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 967 + }, + { + "completion_length": 100.640625, + "epoch": 1.1937075879086982, + "grad_norm": 0.8111003459235891, + "kl": 0.0340576171875, + "learning_rate": 4.0246913580246913e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 968 + }, + { + "completion_length": 112.078125, + "epoch": 1.1949413942011105, + "grad_norm": 0.12429535824574947, + "kl": 0.03277587890625, + "learning_rate": 4.0185185185185183e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 969 + }, + { + "completion_length": 114.875, + "epoch": 1.1961752004935224, + "grad_norm": 0.6625877631488027, + "kl": 0.03387451171875, + "learning_rate": 4.0123456790123453e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 970 + }, + { + "completion_length": 101.359375, + "epoch": 1.1974090067859346, + "grad_norm": 0.35795548683587525, + "kl": 0.0306396484375, + "learning_rate": 4.006172839506173e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 971 + }, + { + "completion_length": 113.671875, + "epoch": 1.1986428130783466, + "grad_norm": 0.1623929025413568, + "kl": 0.0400390625, + "learning_rate": 4e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 972 + }, + { + "completion_length": 108.921875, + "epoch": 1.1998766193707588, + "grad_norm": 1.022018483761583, + "kl": 0.0380859375, + "learning_rate": 3.993827160493827e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 973 + }, + { + "completion_length": 112.609375, + "epoch": 1.2011104256631708, + "grad_norm": 0.5993852889240097, + "kl": 0.03759765625, + "learning_rate": 3.987654320987654e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.05412658676505089, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 974 + }, + { + "completion_length": 120.15625, + "epoch": 1.202344231955583, + "grad_norm": 0.14806302572327384, + "kl": 0.0333251953125, + "learning_rate": 3.9814814814814813e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 975 + }, + { + "completion_length": 114.5625, + "epoch": 1.203578038247995, + "grad_norm": 0.4939459154609179, + "kl": 0.02691650390625, + "learning_rate": 3.9753086419753083e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 976 + }, + { + "completion_length": 124.9375, + "epoch": 1.2048118445404072, + "grad_norm": 0.12412726615276773, + "kl": 0.0467529296875, + "learning_rate": 3.969135802469136e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 977 + }, + { + "completion_length": 100.125, + "epoch": 1.2060456508328192, + "grad_norm": 0.1072967872331379, + "kl": 0.03082275390625, + "learning_rate": 3.962962962962963e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 978 + }, + { + "completion_length": 117.671875, + "epoch": 1.2072794571252312, + "grad_norm": 0.12727579747922335, + "kl": 0.03662109375, + "learning_rate": 3.9567901234567904e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 979 + }, + { + "completion_length": 121.265625, + "epoch": 1.2085132634176434, + "grad_norm": 0.33072311885051914, + "kl": 0.04541015625, + "learning_rate": 3.950617283950617e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 980 + }, + { + "completion_length": 113.421875, + "epoch": 1.2097470697100556, + "grad_norm": 0.2502132589082465, + "kl": 0.03076171875, + "learning_rate": 3.9444444444444444e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 981 + }, + { + "completion_length": 101.9375, + "epoch": 1.2109808760024676, + "grad_norm": 0.1354970410224071, + "kl": 0.03289794921875, + "learning_rate": 3.9382716049382714e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 982 + }, + { + "completion_length": 111.234375, + "epoch": 1.2122146822948796, + "grad_norm": 1.304767739754639, + "kl": 0.031982421875, + "learning_rate": 3.9320987654320984e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 983 + }, + { + "completion_length": 105.859375, + "epoch": 1.2134484885872918, + "grad_norm": 0.20398127496158336, + "kl": 0.0335693359375, + "learning_rate": 3.925925925925926e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 984 + }, + { + "completion_length": 115.0, + "epoch": 1.2146822948797038, + "grad_norm": 0.1433389142486501, + "kl": 0.03778076171875, + "learning_rate": 3.919753086419753e-07, + "loss": 0.0015, + "reward": 1.421875, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.484375, + "step": 985 + }, + { + "completion_length": 108.21875, + "epoch": 1.215916101172116, + "grad_norm": 1.4593203355079192, + "kl": 0.0338134765625, + "learning_rate": 3.91358024691358e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 986 + }, + { + "completion_length": 122.203125, + "epoch": 1.217149907464528, + "grad_norm": 0.6102690366809005, + "kl": 0.058349609375, + "learning_rate": 3.907407407407407e-07, + "loss": 0.0023, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 987 + }, + { + "completion_length": 117.453125, + "epoch": 1.2183837137569402, + "grad_norm": 0.9554702608252352, + "kl": 0.02752685546875, + "learning_rate": 3.9012345679012344e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 988 + }, + { + "completion_length": 120.3125, + "epoch": 1.2196175200493522, + "grad_norm": 0.1210044147692337, + "kl": 0.034423828125, + "learning_rate": 3.8950617283950614e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 989 + }, + { + "completion_length": 118.53125, + "epoch": 1.2208513263417644, + "grad_norm": 0.5261811656406409, + "kl": 0.03717041015625, + "learning_rate": 3.888888888888889e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 990 + }, + { + "completion_length": 100.578125, + "epoch": 1.2220851326341764, + "grad_norm": 1.4047129501353641, + "kl": 0.0455322265625, + "learning_rate": 3.882716049382716e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 991 + }, + { + "completion_length": 102.34375, + "epoch": 1.2233189389265886, + "grad_norm": 0.14383792690448374, + "kl": 0.02813720703125, + "learning_rate": 3.8765432098765435e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 992 + }, + { + "completion_length": 105.375, + "epoch": 1.2245527452190006, + "grad_norm": 1.4225523016713733, + "kl": 0.0697021484375, + "learning_rate": 3.87037037037037e-07, + "loss": 0.0028, + "reward": 1.359375, + "reward_std": 0.08619705587625504, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.484375, + "step": 993 + }, + { + "completion_length": 95.015625, + "epoch": 1.2257865515114128, + "grad_norm": 1.3452422452888968, + "kl": 0.02703857421875, + "learning_rate": 3.864197530864197e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 994 + }, + { + "completion_length": 113.5, + "epoch": 1.2270203578038248, + "grad_norm": 2.3499540018568035, + "kl": 0.0595703125, + "learning_rate": 3.8580246913580245e-07, + "loss": 0.0024, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 995 + }, + { + "completion_length": 103.0625, + "epoch": 1.2282541640962368, + "grad_norm": 0.9407334090829758, + "kl": 0.03155517578125, + "learning_rate": 3.8518518518518515e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 996 + }, + { + "completion_length": 109.59375, + "epoch": 1.229487970388649, + "grad_norm": 2.643298024361087, + "kl": 0.03497314453125, + "learning_rate": 3.845679012345679e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 997 + }, + { + "completion_length": 106.640625, + "epoch": 1.2307217766810612, + "grad_norm": 0.6099390866639154, + "kl": 0.03302001953125, + "learning_rate": 3.839506172839506e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 998 + }, + { + "completion_length": 109.78125, + "epoch": 1.2319555829734732, + "grad_norm": 0.6028958866588418, + "kl": 0.0308837890625, + "learning_rate": 3.8333333333333335e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 999 + }, + { + "completion_length": 111.65625, + "epoch": 1.2331893892658852, + "grad_norm": 0.15413833696970441, + "kl": 0.039794921875, + "learning_rate": 3.82716049382716e-07, + "loss": 0.0016, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1000 + }, + { + "completion_length": 102.71875, + "epoch": 1.2344231955582974, + "grad_norm": 1.8591151596352475, + "kl": 0.02581787109375, + "learning_rate": 3.8209876543209875e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1001 + }, + { + "completion_length": 103.546875, + "epoch": 1.2356570018507094, + "grad_norm": 0.0722431194000218, + "kl": 0.02557373046875, + "learning_rate": 3.8148148148148145e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1002 + }, + { + "completion_length": 99.234375, + "epoch": 1.2368908081431216, + "grad_norm": 0.6629069650062487, + "kl": 0.03216552734375, + "learning_rate": 3.808641975308642e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1003 + }, + { + "completion_length": 105.984375, + "epoch": 1.2381246144355336, + "grad_norm": 0.11566679996338038, + "kl": 0.0306396484375, + "learning_rate": 3.802469135802469e-07, + "loss": 0.0012, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1004 + }, + { + "completion_length": 111.5625, + "epoch": 1.2393584207279458, + "grad_norm": 0.6445316439482205, + "kl": 0.035888671875, + "learning_rate": 3.7962962962962966e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1005 + }, + { + "completion_length": 106.0625, + "epoch": 1.2405922270203578, + "grad_norm": 0.5830494858951969, + "kl": 0.031982421875, + "learning_rate": 3.790123456790123e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1006 + }, + { + "completion_length": 115.46875, + "epoch": 1.24182603331277, + "grad_norm": 0.11690078118948667, + "kl": 0.03704833984375, + "learning_rate": 3.78395061728395e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1007 + }, + { + "completion_length": 90.53125, + "epoch": 1.243059839605182, + "grad_norm": 0.15394046613935755, + "kl": 0.03271484375, + "learning_rate": 3.7777777777777775e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1008 + }, + { + "completion_length": 101.5625, + "epoch": 1.2442936458975942, + "grad_norm": 0.10857334416118315, + "kl": 0.033203125, + "learning_rate": 3.7716049382716045e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1009 + }, + { + "completion_length": 113.8125, + "epoch": 1.2455274521900062, + "grad_norm": 0.9995436414137452, + "kl": 0.0467529296875, + "learning_rate": 3.765432098765432e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1010 + }, + { + "completion_length": 83.40625, + "epoch": 1.2467612584824184, + "grad_norm": 0.7956844027240767, + "kl": 0.03326416015625, + "learning_rate": 3.759259259259259e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1011 + }, + { + "completion_length": 104.0, + "epoch": 1.2479950647748304, + "grad_norm": 4.9993506619535015, + "kl": 0.03167724609375, + "learning_rate": 3.7530864197530866e-07, + "loss": 0.0013, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1012 + }, + { + "completion_length": 98.296875, + "epoch": 1.2492288710672423, + "grad_norm": 0.6137604591122667, + "kl": 0.0362548828125, + "learning_rate": 3.746913580246913e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1013 + }, + { + "completion_length": 93.75, + "epoch": 1.2504626773596546, + "grad_norm": 0.11431257561533113, + "kl": 0.0416259765625, + "learning_rate": 3.7407407407407406e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1014 + }, + { + "completion_length": 102.953125, + "epoch": 1.2516964836520668, + "grad_norm": 0.9503047404447377, + "kl": 0.0272216796875, + "learning_rate": 3.7345679012345676e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1015 + }, + { + "completion_length": 110.53125, + "epoch": 1.2529302899444787, + "grad_norm": 0.7287485387627565, + "kl": 0.044921875, + "learning_rate": 3.728395061728395e-07, + "loss": 0.0018, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1016 + }, + { + "completion_length": 109.78125, + "epoch": 1.2541640962368907, + "grad_norm": 0.6735714230797364, + "kl": 0.04443359375, + "learning_rate": 3.722222222222222e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1017 + }, + { + "completion_length": 103.0, + "epoch": 1.255397902529303, + "grad_norm": 0.1089410919318832, + "kl": 0.039306640625, + "learning_rate": 3.7160493827160496e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1018 + }, + { + "completion_length": 107.375, + "epoch": 1.256631708821715, + "grad_norm": 0.11058825419631334, + "kl": 0.02630615234375, + "learning_rate": 3.7098765432098766e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1019 + }, + { + "completion_length": 104.34375, + "epoch": 1.2578655151141271, + "grad_norm": 0.19706379912287436, + "kl": 0.057373046875, + "learning_rate": 3.703703703703703e-07, + "loss": 0.0023, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1020 + }, + { + "completion_length": 101.875, + "epoch": 1.2590993214065391, + "grad_norm": 1.5179322703498024, + "kl": 0.02496337890625, + "learning_rate": 3.6975308641975306e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1021 + }, + { + "completion_length": 106.671875, + "epoch": 1.2603331276989513, + "grad_norm": 0.13094410812326876, + "kl": 0.0390625, + "learning_rate": 3.6913580246913576e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1022 + }, + { + "completion_length": 107.5625, + "epoch": 1.2615669339913633, + "grad_norm": 0.9250954651199542, + "kl": 0.03460693359375, + "learning_rate": 3.685185185185185e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1023 + }, + { + "completion_length": 122.6875, + "epoch": 1.2628007402837755, + "grad_norm": 1.332613339235965, + "kl": 0.03619384765625, + "learning_rate": 3.679012345679012e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1024 + }, + { + "completion_length": 98.34375, + "epoch": 1.2640345465761875, + "grad_norm": 0.6254352367252987, + "kl": 0.02642822265625, + "learning_rate": 3.6728395061728397e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1025 + }, + { + "completion_length": 113.265625, + "epoch": 1.2652683528685995, + "grad_norm": 0.1636668051831454, + "kl": 0.03289794921875, + "learning_rate": 3.666666666666666e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1026 + }, + { + "completion_length": 106.875, + "epoch": 1.2665021591610117, + "grad_norm": 0.12031594833939666, + "kl": 0.02874755859375, + "learning_rate": 3.6604938271604937e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1027 + }, + { + "completion_length": 105.265625, + "epoch": 1.267735965453424, + "grad_norm": 0.11543032139924111, + "kl": 0.03564453125, + "learning_rate": 3.6543209876543207e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1028 + }, + { + "completion_length": 116.296875, + "epoch": 1.268969771745836, + "grad_norm": 1.3853559123811354, + "kl": 0.03857421875, + "learning_rate": 3.648148148148148e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1029 + }, + { + "completion_length": 102.5, + "epoch": 1.270203578038248, + "grad_norm": 0.0994497613295274, + "kl": 0.033447265625, + "learning_rate": 3.641975308641975e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1030 + }, + { + "completion_length": 104.765625, + "epoch": 1.2714373843306601, + "grad_norm": 0.10131099646721832, + "kl": 0.044677734375, + "learning_rate": 3.6358024691358027e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1031 + }, + { + "completion_length": 122.515625, + "epoch": 1.272671190623072, + "grad_norm": 1.0759379910024753, + "kl": 0.05322265625, + "learning_rate": 3.6296296296296297e-07, + "loss": 0.0021, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1032 + }, + { + "completion_length": 102.65625, + "epoch": 1.2739049969154843, + "grad_norm": 0.5101510072974401, + "kl": 0.0362548828125, + "learning_rate": 3.623456790123456e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1033 + }, + { + "completion_length": 123.359375, + "epoch": 1.2751388032078963, + "grad_norm": 0.07827195542568263, + "kl": 0.033447265625, + "learning_rate": 3.6172839506172837e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1034 + }, + { + "completion_length": 122.46875, + "epoch": 1.2763726095003085, + "grad_norm": 1.0673406729249266, + "kl": 0.0433349609375, + "learning_rate": 3.6111111111111107e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1035 + }, + { + "completion_length": 116.65625, + "epoch": 1.2776064157927205, + "grad_norm": 0.15225393408589222, + "kl": 0.062255859375, + "learning_rate": 3.604938271604938e-07, + "loss": 0.0025, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1036 + }, + { + "completion_length": 107.640625, + "epoch": 1.2788402220851327, + "grad_norm": 0.8150019807890414, + "kl": 0.0537109375, + "learning_rate": 3.598765432098765e-07, + "loss": 0.0021, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1037 + }, + { + "completion_length": 101.703125, + "epoch": 1.2800740283775447, + "grad_norm": 1.1898086634605631, + "kl": 0.038330078125, + "learning_rate": 3.592592592592593e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1038 + }, + { + "completion_length": 107.25, + "epoch": 1.2813078346699567, + "grad_norm": 0.09760338670048758, + "kl": 0.0533447265625, + "learning_rate": 3.58641975308642e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1039 + }, + { + "completion_length": 121.59375, + "epoch": 1.282541640962369, + "grad_norm": 1.3209613993797586, + "kl": 0.047119140625, + "learning_rate": 3.580246913580247e-07, + "loss": 0.0019, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1040 + }, + { + "completion_length": 114.28125, + "epoch": 1.283775447254781, + "grad_norm": 0.8677244506538716, + "kl": 0.04107666015625, + "learning_rate": 3.574074074074074e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1041 + }, + { + "completion_length": 115.390625, + "epoch": 1.285009253547193, + "grad_norm": 0.0945246336511355, + "kl": 0.0513916015625, + "learning_rate": 3.5679012345679013e-07, + "loss": 0.0021, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1042 + }, + { + "completion_length": 99.109375, + "epoch": 1.286243059839605, + "grad_norm": 0.595582211260264, + "kl": 0.04254150390625, + "learning_rate": 3.5617283950617283e-07, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1043 + }, + { + "completion_length": 106.921875, + "epoch": 1.2874768661320173, + "grad_norm": 0.6886225605655081, + "kl": 0.03070068359375, + "learning_rate": 3.5555555555555553e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1044 + }, + { + "completion_length": 105.34375, + "epoch": 1.2887106724244295, + "grad_norm": 0.13058884551112848, + "kl": 0.0418701171875, + "learning_rate": 3.549382716049383e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1045 + }, + { + "completion_length": 102.828125, + "epoch": 1.2899444787168415, + "grad_norm": 0.08073885785918784, + "kl": 0.04736328125, + "learning_rate": 3.5432098765432093e-07, + "loss": 0.0019, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1046 + }, + { + "completion_length": 110.578125, + "epoch": 1.2911782850092535, + "grad_norm": 0.1324558972167293, + "kl": 0.0599365234375, + "learning_rate": 3.537037037037037e-07, + "loss": 0.0024, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1047 + }, + { + "completion_length": 101.125, + "epoch": 1.2924120913016657, + "grad_norm": 0.2469045310103263, + "kl": 0.0367431640625, + "learning_rate": 3.530864197530864e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1048 + }, + { + "completion_length": 115.0625, + "epoch": 1.2936458975940777, + "grad_norm": 0.09421927049730577, + "kl": 0.03125, + "learning_rate": 3.5246913580246913e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1049 + }, + { + "completion_length": 103.3125, + "epoch": 1.2948797038864899, + "grad_norm": 0.13580065796824672, + "kl": 0.03411865234375, + "learning_rate": 3.5185185185185183e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1050 + }, + { + "completion_length": 110.4375, + "epoch": 1.2961135101789019, + "grad_norm": 0.0992520239372608, + "kl": 0.04248046875, + "learning_rate": 3.512345679012346e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1051 + }, + { + "completion_length": 95.578125, + "epoch": 1.297347316471314, + "grad_norm": 0.9423594241601164, + "kl": 0.0384521484375, + "learning_rate": 3.506172839506173e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1052 + }, + { + "completion_length": 109.875, + "epoch": 1.298581122763726, + "grad_norm": 0.16748642737329725, + "kl": 0.038818359375, + "learning_rate": 3.5e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1053 + }, + { + "completion_length": 104.03125, + "epoch": 1.2998149290561383, + "grad_norm": 0.4825825801924333, + "kl": 0.0457763671875, + "learning_rate": 3.493827160493827e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1054 + }, + { + "completion_length": 94.203125, + "epoch": 1.3010487353485503, + "grad_norm": 1.2390281605277327, + "kl": 0.03759765625, + "learning_rate": 3.4876543209876544e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1055 + }, + { + "completion_length": 103.78125, + "epoch": 1.3022825416409622, + "grad_norm": 0.09726884072808137, + "kl": 0.02886962890625, + "learning_rate": 3.4814814814814814e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1056 + }, + { + "completion_length": 102.90625, + "epoch": 1.3035163479333745, + "grad_norm": 1.4473594997843278, + "kl": 0.032958984375, + "learning_rate": 3.4753086419753084e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1057 + }, + { + "completion_length": 108.171875, + "epoch": 1.3047501542257867, + "grad_norm": 0.12230103174598078, + "kl": 0.034912109375, + "learning_rate": 3.469135802469136e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1058 + }, + { + "completion_length": 104.578125, + "epoch": 1.3059839605181986, + "grad_norm": 0.992052208825822, + "kl": 0.03515625, + "learning_rate": 3.4629629629629624e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1059 + }, + { + "completion_length": 111.96875, + "epoch": 1.3072177668106106, + "grad_norm": 0.07163708157542918, + "kl": 0.0469970703125, + "learning_rate": 3.45679012345679e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1060 + }, + { + "completion_length": 106.890625, + "epoch": 1.3084515731030228, + "grad_norm": 0.7461892994388614, + "kl": 0.050048828125, + "learning_rate": 3.450617283950617e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1061 + }, + { + "completion_length": 114.953125, + "epoch": 1.3096853793954348, + "grad_norm": 0.10748859789205147, + "kl": 0.04296875, + "learning_rate": 3.4444444444444444e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1062 + }, + { + "completion_length": 119.296875, + "epoch": 1.310919185687847, + "grad_norm": 0.7653791479806523, + "kl": 0.03680419921875, + "learning_rate": 3.4382716049382714e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1063 + }, + { + "completion_length": 105.640625, + "epoch": 1.312152991980259, + "grad_norm": 0.10660797060072497, + "kl": 0.04931640625, + "learning_rate": 3.432098765432099e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1064 + }, + { + "completion_length": 104.90625, + "epoch": 1.3133867982726712, + "grad_norm": 0.37251918771576037, + "kl": 0.0380859375, + "learning_rate": 3.425925925925926e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1065 + }, + { + "completion_length": 122.578125, + "epoch": 1.3146206045650832, + "grad_norm": 0.11593707614269454, + "kl": 0.03619384765625, + "learning_rate": 3.419753086419753e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1066 + }, + { + "completion_length": 105.328125, + "epoch": 1.3158544108574954, + "grad_norm": 0.09526721484004486, + "kl": 0.047607421875, + "learning_rate": 3.41358024691358e-07, + "loss": 0.0019, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1067 + }, + { + "completion_length": 113.34375, + "epoch": 1.3170882171499074, + "grad_norm": 0.5946480846126476, + "kl": 0.0318603515625, + "learning_rate": 3.407407407407407e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1068 + }, + { + "completion_length": 111.671875, + "epoch": 1.3183220234423196, + "grad_norm": 0.08492862132478225, + "kl": 0.0377197265625, + "learning_rate": 3.4012345679012344e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1069 + }, + { + "completion_length": 107.21875, + "epoch": 1.3195558297347316, + "grad_norm": 0.12223606930221274, + "kl": 0.044921875, + "learning_rate": 3.3950617283950614e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1070 + }, + { + "completion_length": 120.796875, + "epoch": 1.3207896360271438, + "grad_norm": 0.13938863965664391, + "kl": 0.04541015625, + "learning_rate": 3.388888888888889e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1071 + }, + { + "completion_length": 97.15625, + "epoch": 1.3220234423195558, + "grad_norm": 0.09202320322346429, + "kl": 0.056640625, + "learning_rate": 3.382716049382716e-07, + "loss": 0.0023, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1072 + }, + { + "completion_length": 117.34375, + "epoch": 1.3232572486119678, + "grad_norm": 0.12921927448439469, + "kl": 0.027099609375, + "learning_rate": 3.376543209876543e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1073 + }, + { + "completion_length": 116.1875, + "epoch": 1.32449105490438, + "grad_norm": 0.08774800279148452, + "kl": 0.0390625, + "learning_rate": 3.37037037037037e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1074 + }, + { + "completion_length": 128.265625, + "epoch": 1.3257248611967922, + "grad_norm": 0.09003110843392857, + "kl": 0.0455322265625, + "learning_rate": 3.3641975308641975e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1075 + }, + { + "completion_length": 129.140625, + "epoch": 1.3269586674892042, + "grad_norm": 0.1754947465131111, + "kl": 0.0396728515625, + "learning_rate": 3.3580246913580245e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1076 + }, + { + "completion_length": 115.953125, + "epoch": 1.3281924737816162, + "grad_norm": 0.08642621677553826, + "kl": 0.04931640625, + "learning_rate": 3.351851851851852e-07, + "loss": 0.002, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1077 + }, + { + "completion_length": 113.328125, + "epoch": 1.3294262800740284, + "grad_norm": 1.8556260643282336, + "kl": 0.04071044921875, + "learning_rate": 3.345679012345679e-07, + "loss": 0.0016, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4765625, + "step": 1078 + }, + { + "completion_length": 112.703125, + "epoch": 1.3306600863664404, + "grad_norm": 2.063531616927301, + "kl": 0.04443359375, + "learning_rate": 3.339506172839506e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1079 + }, + { + "completion_length": 117.375, + "epoch": 1.3318938926588526, + "grad_norm": 0.6293881082162236, + "kl": 0.030303955078125, + "learning_rate": 3.333333333333333e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1080 + }, + { + "completion_length": 114.390625, + "epoch": 1.3331276989512646, + "grad_norm": 0.6165572691008493, + "kl": 0.0506591796875, + "learning_rate": 3.32716049382716e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1081 + }, + { + "completion_length": 111.5625, + "epoch": 1.3343615052436768, + "grad_norm": 0.5992765919108902, + "kl": 0.0302734375, + "learning_rate": 3.3209876543209875e-07, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1082 + }, + { + "completion_length": 94.09375, + "epoch": 1.3355953115360888, + "grad_norm": 0.9975021541267335, + "kl": 0.030517578125, + "learning_rate": 3.3148148148148145e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1083 + }, + { + "completion_length": 111.078125, + "epoch": 1.336829117828501, + "grad_norm": 0.6499069355054865, + "kl": 0.0421142578125, + "learning_rate": 3.308641975308642e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1084 + }, + { + "completion_length": 109.484375, + "epoch": 1.338062924120913, + "grad_norm": 0.3856656260676933, + "kl": 0.0477294921875, + "learning_rate": 3.302469135802469e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1085 + }, + { + "completion_length": 113.25, + "epoch": 1.339296730413325, + "grad_norm": 0.07605194801369566, + "kl": 0.0487060546875, + "learning_rate": 3.296296296296296e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1086 + }, + { + "completion_length": 111.015625, + "epoch": 1.3405305367057372, + "grad_norm": 0.12187484757876099, + "kl": 0.0517578125, + "learning_rate": 3.290123456790123e-07, + "loss": 0.0021, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1087 + }, + { + "completion_length": 122.15625, + "epoch": 1.3417643429981494, + "grad_norm": 1.3206437650252913, + "kl": 0.0543212890625, + "learning_rate": 3.2839506172839506e-07, + "loss": 0.0022, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1088 + }, + { + "completion_length": 101.21875, + "epoch": 1.3429981492905614, + "grad_norm": 1.3937207049009126, + "kl": 0.0673828125, + "learning_rate": 3.2777777777777776e-07, + "loss": 0.0027, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1089 + }, + { + "completion_length": 110.703125, + "epoch": 1.3442319555829734, + "grad_norm": 0.34059945118448576, + "kl": 0.044189453125, + "learning_rate": 3.271604938271605e-07, + "loss": 0.0018, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1090 + }, + { + "completion_length": 105.6875, + "epoch": 1.3454657618753856, + "grad_norm": 1.234059954837667, + "kl": 0.044677734375, + "learning_rate": 3.265432098765432e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1091 + }, + { + "completion_length": 110.25, + "epoch": 1.3466995681677978, + "grad_norm": 0.08003054867133882, + "kl": 0.041748046875, + "learning_rate": 3.2592592592592596e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1092 + }, + { + "completion_length": 105.828125, + "epoch": 1.3479333744602098, + "grad_norm": 0.08475084257018539, + "kl": 0.0338134765625, + "learning_rate": 3.253086419753086e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1093 + }, + { + "completion_length": 106.46875, + "epoch": 1.3491671807526218, + "grad_norm": 0.21494637375158104, + "kl": 0.0447998046875, + "learning_rate": 3.246913580246913e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1094 + }, + { + "completion_length": 109.4375, + "epoch": 1.350400987045034, + "grad_norm": 0.7133807306523657, + "kl": 0.0321044921875, + "learning_rate": 3.2407407407407406e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1095 + }, + { + "completion_length": 108.53125, + "epoch": 1.351634793337446, + "grad_norm": 0.09318069912984116, + "kl": 0.0445556640625, + "learning_rate": 3.2345679012345676e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1096 + }, + { + "completion_length": 112.0625, + "epoch": 1.3528685996298582, + "grad_norm": 2.525681323046964, + "kl": 0.0369873046875, + "learning_rate": 3.228395061728395e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1097 + }, + { + "completion_length": 111.09375, + "epoch": 1.3541024059222702, + "grad_norm": 0.7723713644692933, + "kl": 0.046875, + "learning_rate": 3.222222222222222e-07, + "loss": 0.0019, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1098 + }, + { + "completion_length": 94.4375, + "epoch": 1.3553362122146824, + "grad_norm": 0.6503424163081897, + "kl": 0.032958984375, + "learning_rate": 3.216049382716049e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1099 + }, + { + "completion_length": 113.84375, + "epoch": 1.3565700185070944, + "grad_norm": 0.1321784733995669, + "kl": 0.0482177734375, + "learning_rate": 3.209876543209876e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1100 + }, + { + "completion_length": 120.71875, + "epoch": 1.3578038247995066, + "grad_norm": 0.8808359647653737, + "kl": 0.0501708984375, + "learning_rate": 3.2037037037037037e-07, + "loss": 0.002, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1101 + }, + { + "completion_length": 108.546875, + "epoch": 1.3590376310919186, + "grad_norm": 1.5422524893960534, + "kl": 0.0653076171875, + "learning_rate": 3.1975308641975307e-07, + "loss": 0.0026, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1102 + }, + { + "completion_length": 103.3125, + "epoch": 1.3602714373843305, + "grad_norm": 0.10004674032994157, + "kl": 0.0548095703125, + "learning_rate": 3.191358024691358e-07, + "loss": 0.0022, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1103 + }, + { + "completion_length": 108.625, + "epoch": 1.3615052436767427, + "grad_norm": 0.08891783245567308, + "kl": 0.05859375, + "learning_rate": 3.185185185185185e-07, + "loss": 0.0023, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1104 + }, + { + "completion_length": 112.75, + "epoch": 1.362739049969155, + "grad_norm": 0.6601000695454257, + "kl": 0.03204345703125, + "learning_rate": 3.1790123456790127e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1105 + }, + { + "completion_length": 116.078125, + "epoch": 1.363972856261567, + "grad_norm": 1.2926041906534151, + "kl": 0.05224609375, + "learning_rate": 3.172839506172839e-07, + "loss": 0.0021, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1106 + }, + { + "completion_length": 113.078125, + "epoch": 1.365206662553979, + "grad_norm": 1.3596504419022764, + "kl": 0.03900146484375, + "learning_rate": 3.166666666666666e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1107 + }, + { + "completion_length": 109.453125, + "epoch": 1.3664404688463911, + "grad_norm": 0.14042882883189492, + "kl": 0.02862548828125, + "learning_rate": 3.1604938271604937e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1108 + }, + { + "completion_length": 105.859375, + "epoch": 1.3676742751388031, + "grad_norm": 0.29020823688763747, + "kl": 0.037841796875, + "learning_rate": 3.1543209876543207e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1109 + }, + { + "completion_length": 95.640625, + "epoch": 1.3689080814312153, + "grad_norm": 0.09335618093883818, + "kl": 0.021484375, + "learning_rate": 3.148148148148148e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1110 + }, + { + "completion_length": 100.234375, + "epoch": 1.3701418877236273, + "grad_norm": 1.4935211628552771, + "kl": 0.05078125, + "learning_rate": 3.141975308641975e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1111 + }, + { + "completion_length": 97.84375, + "epoch": 1.3713756940160395, + "grad_norm": 0.9916995141744442, + "kl": 0.039306640625, + "learning_rate": 3.135802469135803e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1112 + }, + { + "completion_length": 95.953125, + "epoch": 1.3726095003084515, + "grad_norm": 0.8381930508569139, + "kl": 0.034423828125, + "learning_rate": 3.129629629629629e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1113 + }, + { + "completion_length": 104.28125, + "epoch": 1.3738433066008637, + "grad_norm": 0.10613644120117902, + "kl": 0.0574951171875, + "learning_rate": 3.123456790123457e-07, + "loss": 0.0023, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1114 + }, + { + "completion_length": 102.640625, + "epoch": 1.3750771128932757, + "grad_norm": 0.4620210266049311, + "kl": 0.03399658203125, + "learning_rate": 3.117283950617284e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1115 + }, + { + "completion_length": 92.890625, + "epoch": 1.3763109191856877, + "grad_norm": 1.667878923067053, + "kl": 0.0294189453125, + "learning_rate": 3.111111111111111e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1116 + }, + { + "completion_length": 100.984375, + "epoch": 1.3775447254781, + "grad_norm": 0.10544028338435925, + "kl": 0.04052734375, + "learning_rate": 3.104938271604938e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1117 + }, + { + "completion_length": 104.71875, + "epoch": 1.3787785317705121, + "grad_norm": 0.0939477562994635, + "kl": 0.0394287109375, + "learning_rate": 3.098765432098765e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1118 + }, + { + "completion_length": 118.90625, + "epoch": 1.3800123380629241, + "grad_norm": 0.9953361984666803, + "kl": 0.0469970703125, + "learning_rate": 3.092592592592592e-07, + "loss": 0.0019, + "reward": 1.46875, + "reward_std": 0.04554459825158119, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1119 + }, + { + "completion_length": 102.296875, + "epoch": 1.381246144355336, + "grad_norm": 1.4593868733258915, + "kl": 0.05078125, + "learning_rate": 3.086419753086419e-07, + "loss": 0.002, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1120 + }, + { + "completion_length": 101.90625, + "epoch": 1.3824799506477483, + "grad_norm": 0.08179790352592443, + "kl": 0.03961181640625, + "learning_rate": 3.080246913580247e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1121 + }, + { + "completion_length": 99.796875, + "epoch": 1.3837137569401605, + "grad_norm": 0.9719344390573491, + "kl": 0.02972412109375, + "learning_rate": 3.074074074074074e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1122 + }, + { + "completion_length": 85.1875, + "epoch": 1.3849475632325725, + "grad_norm": 0.08988654968594598, + "kl": 0.0452880859375, + "learning_rate": 3.0679012345679013e-07, + "loss": 0.0018, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1123 + }, + { + "completion_length": 107.5625, + "epoch": 1.3861813695249845, + "grad_norm": 1.3671724317483493, + "kl": 0.043701171875, + "learning_rate": 3.0617283950617283e-07, + "loss": 0.0018, + "reward": 1.3671875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.4921875, + "step": 1124 + }, + { + "completion_length": 91.078125, + "epoch": 1.3874151758173967, + "grad_norm": 0.1306790480370718, + "kl": 0.02667236328125, + "learning_rate": 3.055555555555556e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1125 + }, + { + "completion_length": 105.421875, + "epoch": 1.3886489821098087, + "grad_norm": 0.09666865378353344, + "kl": 0.0299072265625, + "learning_rate": 3.0493827160493823e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1126 + }, + { + "completion_length": 102.15625, + "epoch": 1.389882788402221, + "grad_norm": 0.634071262601248, + "kl": 0.056396484375, + "learning_rate": 3.04320987654321e-07, + "loss": 0.0023, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1127 + }, + { + "completion_length": 99.015625, + "epoch": 1.391116594694633, + "grad_norm": 0.7703420819745166, + "kl": 0.040771484375, + "learning_rate": 3.037037037037037e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1128 + }, + { + "completion_length": 103.671875, + "epoch": 1.392350400987045, + "grad_norm": 0.0901917856664016, + "kl": 0.02655029296875, + "learning_rate": 3.0308641975308643e-07, + "loss": 0.0011, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1129 + }, + { + "completion_length": 119.359375, + "epoch": 1.393584207279457, + "grad_norm": 0.6231780088322361, + "kl": 0.0404052734375, + "learning_rate": 3.0246913580246913e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1130 + }, + { + "completion_length": 97.203125, + "epoch": 1.3948180135718693, + "grad_norm": 1.5325718811513362, + "kl": 0.04876708984375, + "learning_rate": 3.0185185185185183e-07, + "loss": 0.0019, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1131 + }, + { + "completion_length": 98.40625, + "epoch": 1.3960518198642813, + "grad_norm": 0.0715736204297123, + "kl": 0.02996826171875, + "learning_rate": 3.012345679012346e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1132 + }, + { + "completion_length": 100.140625, + "epoch": 1.3972856261566933, + "grad_norm": 0.16178448826227576, + "kl": 0.0419921875, + "learning_rate": 3.0061728395061723e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1133 + }, + { + "completion_length": 107.421875, + "epoch": 1.3985194324491055, + "grad_norm": 0.8324907605454379, + "kl": 0.02740478515625, + "learning_rate": 3e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1134 + }, + { + "completion_length": 101.578125, + "epoch": 1.3997532387415177, + "grad_norm": 0.5852370546243989, + "kl": 0.0390625, + "learning_rate": 2.993827160493827e-07, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1135 + }, + { + "completion_length": 106.78125, + "epoch": 1.4009870450339297, + "grad_norm": 0.10270114722909186, + "kl": 0.04595947265625, + "learning_rate": 2.9876543209876544e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1136 + }, + { + "completion_length": 105.71875, + "epoch": 1.4022208513263417, + "grad_norm": 0.1659356990393445, + "kl": 0.030029296875, + "learning_rate": 2.9814814814814814e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1137 + }, + { + "completion_length": 102.734375, + "epoch": 1.4034546576187539, + "grad_norm": 0.11871808536054547, + "kl": 0.02374267578125, + "learning_rate": 2.975308641975309e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1138 + }, + { + "completion_length": 106.484375, + "epoch": 1.404688463911166, + "grad_norm": 0.08707443800150057, + "kl": 0.0343017578125, + "learning_rate": 2.9691358024691354e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1139 + }, + { + "completion_length": 97.875, + "epoch": 1.405922270203578, + "grad_norm": 0.09279556377507048, + "kl": 0.0313720703125, + "learning_rate": 2.962962962962963e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1140 + }, + { + "completion_length": 107.734375, + "epoch": 1.40715607649599, + "grad_norm": 0.1072660342087802, + "kl": 0.046630859375, + "learning_rate": 2.95679012345679e-07, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1141 + }, + { + "completion_length": 83.046875, + "epoch": 1.4083898827884023, + "grad_norm": 0.1311432012232888, + "kl": 0.030517578125, + "learning_rate": 2.950617283950617e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1142 + }, + { + "completion_length": 97.421875, + "epoch": 1.4096236890808143, + "grad_norm": 0.19282983325310174, + "kl": 0.043701171875, + "learning_rate": 2.9444444444444444e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1143 + }, + { + "completion_length": 93.875, + "epoch": 1.4108574953732265, + "grad_norm": 1.0771157972498189, + "kl": 0.03082275390625, + "learning_rate": 2.9382716049382714e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1144 + }, + { + "completion_length": 104.9375, + "epoch": 1.4120913016656385, + "grad_norm": 0.18177802149753386, + "kl": 0.04345703125, + "learning_rate": 2.932098765432099e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1145 + }, + { + "completion_length": 102.171875, + "epoch": 1.4133251079580507, + "grad_norm": 1.5217552331299922, + "kl": 0.04345703125, + "learning_rate": 2.9259259259259254e-07, + "loss": 0.0017, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1146 + }, + { + "completion_length": 100.75, + "epoch": 1.4145589142504627, + "grad_norm": 1.0113916902681597, + "kl": 0.038330078125, + "learning_rate": 2.919753086419753e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1147 + }, + { + "completion_length": 112.875, + "epoch": 1.4157927205428749, + "grad_norm": 0.5981304618928911, + "kl": 0.0428466796875, + "learning_rate": 2.91358024691358e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1148 + }, + { + "completion_length": 111.0, + "epoch": 1.4170265268352868, + "grad_norm": 0.12695985759243056, + "kl": 0.0316162109375, + "learning_rate": 2.9074074074074075e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1149 + }, + { + "completion_length": 98.828125, + "epoch": 1.4182603331276988, + "grad_norm": 0.10601861810692886, + "kl": 0.03155517578125, + "learning_rate": 2.9012345679012345e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1150 + }, + { + "completion_length": 110.078125, + "epoch": 1.419494139420111, + "grad_norm": 0.1182234923495693, + "kl": 0.0386962890625, + "learning_rate": 2.895061728395062e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1151 + }, + { + "completion_length": 116.78125, + "epoch": 1.4207279457125233, + "grad_norm": 0.08051094666948978, + "kl": 0.04443359375, + "learning_rate": 2.8888888888888885e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1152 + }, + { + "completion_length": 101.9375, + "epoch": 1.4219617520049352, + "grad_norm": 0.12481466758502614, + "kl": 0.0316162109375, + "learning_rate": 2.882716049382716e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1153 + }, + { + "completion_length": 99.1875, + "epoch": 1.4231955582973472, + "grad_norm": 1.1846640710094327, + "kl": 0.0552978515625, + "learning_rate": 2.876543209876543e-07, + "loss": 0.0022, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1154 + }, + { + "completion_length": 96.109375, + "epoch": 1.4244293645897594, + "grad_norm": 0.13210829400247046, + "kl": 0.02947998046875, + "learning_rate": 2.87037037037037e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1155 + }, + { + "completion_length": 101.78125, + "epoch": 1.4256631708821714, + "grad_norm": 0.35469979321295164, + "kl": 0.046630859375, + "learning_rate": 2.8641975308641975e-07, + "loss": 0.0019, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1156 + }, + { + "completion_length": 104.609375, + "epoch": 1.4268969771745836, + "grad_norm": 0.843149458371544, + "kl": 0.0303955078125, + "learning_rate": 2.8580246913580245e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1157 + }, + { + "completion_length": 109.140625, + "epoch": 1.4281307834669956, + "grad_norm": 0.135700938624077, + "kl": 0.0340576171875, + "learning_rate": 2.851851851851852e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1158 + }, + { + "completion_length": 102.859375, + "epoch": 1.4293645897594078, + "grad_norm": 0.13368922668909633, + "kl": 0.02764892578125, + "learning_rate": 2.8456790123456785e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1159 + }, + { + "completion_length": 122.28125, + "epoch": 1.4305983960518198, + "grad_norm": 0.10853888262645615, + "kl": 0.04376220703125, + "learning_rate": 2.839506172839506e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1160 + }, + { + "completion_length": 106.8125, + "epoch": 1.431832202344232, + "grad_norm": 1.1435208113619355, + "kl": 0.03955078125, + "learning_rate": 2.833333333333333e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1161 + }, + { + "completion_length": 111.34375, + "epoch": 1.433066008636644, + "grad_norm": 0.08507861145571775, + "kl": 0.0384521484375, + "learning_rate": 2.8271604938271606e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1162 + }, + { + "completion_length": 117.109375, + "epoch": 1.434299814929056, + "grad_norm": 0.9140924457648271, + "kl": 0.03997802734375, + "learning_rate": 2.8209876543209876e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1163 + }, + { + "completion_length": 113.84375, + "epoch": 1.4355336212214682, + "grad_norm": 0.8656105281853712, + "kl": 0.02996826171875, + "learning_rate": 2.814814814814815e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1164 + }, + { + "completion_length": 105.34375, + "epoch": 1.4367674275138804, + "grad_norm": 0.10520084946943552, + "kl": 0.037353515625, + "learning_rate": 2.808641975308642e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1165 + }, + { + "completion_length": 122.5625, + "epoch": 1.4380012338062924, + "grad_norm": 2.4827686840988754, + "kl": 0.0443115234375, + "learning_rate": 2.8024691358024685e-07, + "loss": 0.0018, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1166 + }, + { + "completion_length": 128.640625, + "epoch": 1.4392350400987044, + "grad_norm": 0.8474087100424785, + "kl": 0.02716064453125, + "learning_rate": 2.796296296296296e-07, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1167 + }, + { + "completion_length": 119.09375, + "epoch": 1.4404688463911166, + "grad_norm": 0.6409976862291709, + "kl": 0.041015625, + "learning_rate": 2.790123456790123e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1168 + }, + { + "completion_length": 103.453125, + "epoch": 1.4417026526835288, + "grad_norm": 0.701890670893124, + "kl": 0.0347900390625, + "learning_rate": 2.7839506172839506e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1169 + }, + { + "completion_length": 119.921875, + "epoch": 1.4429364589759408, + "grad_norm": 0.08872970179126669, + "kl": 0.0330810546875, + "learning_rate": 2.7777777777777776e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1170 + }, + { + "completion_length": 124.625, + "epoch": 1.4441702652683528, + "grad_norm": 0.18535579544315253, + "kl": 0.04052734375, + "learning_rate": 2.771604938271605e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1171 + }, + { + "completion_length": 130.484375, + "epoch": 1.445404071560765, + "grad_norm": 0.6489395703495957, + "kl": 0.0489501953125, + "learning_rate": 2.7654320987654316e-07, + "loss": 0.002, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1172 + }, + { + "completion_length": 121.96875, + "epoch": 1.446637877853177, + "grad_norm": 0.10930827027397244, + "kl": 0.03759765625, + "learning_rate": 2.759259259259259e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1173 + }, + { + "completion_length": 126.53125, + "epoch": 1.4478716841455892, + "grad_norm": 0.07738440869010932, + "kl": 0.03564453125, + "learning_rate": 2.753086419753086e-07, + "loss": 0.0014, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1174 + }, + { + "completion_length": 124.375, + "epoch": 1.4491054904380012, + "grad_norm": 0.9076463564477205, + "kl": 0.03515625, + "learning_rate": 2.7469135802469136e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1175 + }, + { + "completion_length": 112.75, + "epoch": 1.4503392967304134, + "grad_norm": 0.14995698140205568, + "kl": 0.0347900390625, + "learning_rate": 2.7407407407407406e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1176 + }, + { + "completion_length": 121.515625, + "epoch": 1.4515731030228254, + "grad_norm": 0.097097346128593, + "kl": 0.0299072265625, + "learning_rate": 2.734567901234568e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1177 + }, + { + "completion_length": 121.25, + "epoch": 1.4528069093152376, + "grad_norm": 1.7779843344335484, + "kl": 0.124267578125, + "learning_rate": 2.728395061728395e-07, + "loss": 0.005, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1178 + }, + { + "completion_length": 116.984375, + "epoch": 1.4540407156076496, + "grad_norm": 0.9821281053463343, + "kl": 0.0460205078125, + "learning_rate": 2.7222222222222216e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1179 + }, + { + "completion_length": 124.421875, + "epoch": 1.4552745219000616, + "grad_norm": 0.09784095495117924, + "kl": 0.0396728515625, + "learning_rate": 2.716049382716049e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1180 + }, + { + "completion_length": 122.765625, + "epoch": 1.4565083281924738, + "grad_norm": 0.8371462907251659, + "kl": 0.0511474609375, + "learning_rate": 2.709876543209876e-07, + "loss": 0.002, + "reward": 1.46875, + "reward_std": 0.04419417306780815, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1181 + }, + { + "completion_length": 112.734375, + "epoch": 1.457742134484886, + "grad_norm": 0.09646078198329348, + "kl": 0.0382080078125, + "learning_rate": 2.7037037037037037e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1182 + }, + { + "completion_length": 128.390625, + "epoch": 1.458975940777298, + "grad_norm": 0.08749346683822028, + "kl": 0.0341796875, + "learning_rate": 2.6975308641975307e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1183 + }, + { + "completion_length": 114.03125, + "epoch": 1.46020974706971, + "grad_norm": 0.47418567958076235, + "kl": 0.03009033203125, + "learning_rate": 2.691358024691358e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1184 + }, + { + "completion_length": 126.671875, + "epoch": 1.4614435533621222, + "grad_norm": 0.5719997620121551, + "kl": 0.0355224609375, + "learning_rate": 2.685185185185185e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1185 + }, + { + "completion_length": 116.75, + "epoch": 1.4626773596545342, + "grad_norm": 0.07440758516537561, + "kl": 0.031005859375, + "learning_rate": 2.679012345679012e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1186 + }, + { + "completion_length": 139.53125, + "epoch": 1.4639111659469464, + "grad_norm": 1.0448047382877872, + "kl": 0.04248046875, + "learning_rate": 2.672839506172839e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1187 + }, + { + "completion_length": 120.8125, + "epoch": 1.4651449722393584, + "grad_norm": 0.14209754879643874, + "kl": 0.0341796875, + "learning_rate": 2.6666666666666667e-07, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1188 + }, + { + "completion_length": 123.234375, + "epoch": 1.4663787785317706, + "grad_norm": 0.7163183052179495, + "kl": 0.036376953125, + "learning_rate": 2.6604938271604937e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1189 + }, + { + "completion_length": 113.578125, + "epoch": 1.4676125848241826, + "grad_norm": 2.868454227560323, + "kl": 0.020751953125, + "learning_rate": 2.654320987654321e-07, + "loss": 0.0008, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1190 + }, + { + "completion_length": 110.0625, + "epoch": 1.4688463911165948, + "grad_norm": 0.7993907176711069, + "kl": 0.0546875, + "learning_rate": 2.648148148148148e-07, + "loss": 0.0022, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1191 + }, + { + "completion_length": 109.21875, + "epoch": 1.4700801974090068, + "grad_norm": 0.08058565837327786, + "kl": 0.0499267578125, + "learning_rate": 2.6419753086419747e-07, + "loss": 0.002, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1192 + }, + { + "completion_length": 116.203125, + "epoch": 1.471314003701419, + "grad_norm": 0.9123036920340503, + "kl": 0.0438232421875, + "learning_rate": 2.635802469135802e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1193 + }, + { + "completion_length": 116.828125, + "epoch": 1.472547809993831, + "grad_norm": 0.08947826203639817, + "kl": 0.0400390625, + "learning_rate": 2.629629629629629e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1194 + }, + { + "completion_length": 111.140625, + "epoch": 1.4737816162862432, + "grad_norm": 0.16797353252849934, + "kl": 0.03515625, + "learning_rate": 2.623456790123457e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1195 + }, + { + "completion_length": 121.75, + "epoch": 1.4750154225786551, + "grad_norm": 0.6768683497827267, + "kl": 0.03045654296875, + "learning_rate": 2.617283950617284e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1196 + }, + { + "completion_length": 106.734375, + "epoch": 1.4762492288710671, + "grad_norm": 0.07125093305098912, + "kl": 0.02728271484375, + "learning_rate": 2.6111111111111113e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1197 + }, + { + "completion_length": 116.046875, + "epoch": 1.4774830351634793, + "grad_norm": 0.23931760204949684, + "kl": 0.02752685546875, + "learning_rate": 2.6049382716049383e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1198 + }, + { + "completion_length": 111.859375, + "epoch": 1.4787168414558916, + "grad_norm": 0.08456574477932136, + "kl": 0.0330810546875, + "learning_rate": 2.5987654320987653e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1199 + }, + { + "completion_length": 117.484375, + "epoch": 1.4799506477483035, + "grad_norm": 2.38133811613193, + "kl": 0.036376953125, + "learning_rate": 2.5925925925925923e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1200 + }, + { + "completion_length": 116.40625, + "epoch": 1.4811844540407155, + "grad_norm": 0.6460869081001245, + "kl": 0.0360107421875, + "learning_rate": 2.58641975308642e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1201 + }, + { + "completion_length": 112.859375, + "epoch": 1.4824182603331277, + "grad_norm": 0.15280696505071334, + "kl": 0.02935791015625, + "learning_rate": 2.580246913580247e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1202 + }, + { + "completion_length": 103.71875, + "epoch": 1.4836520666255397, + "grad_norm": 0.09175548729871756, + "kl": 0.0343017578125, + "learning_rate": 2.574074074074074e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1203 + }, + { + "completion_length": 106.6875, + "epoch": 1.484885872917952, + "grad_norm": 0.0708023754364442, + "kl": 0.0330810546875, + "learning_rate": 2.5679012345679013e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1204 + }, + { + "completion_length": 114.78125, + "epoch": 1.486119679210364, + "grad_norm": 4.769277860253871, + "kl": 0.04180908203125, + "learning_rate": 2.5617283950617283e-07, + "loss": 0.0017, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1205 + }, + { + "completion_length": 121.09375, + "epoch": 1.4873534855027761, + "grad_norm": 0.5959345706649389, + "kl": 0.0399169921875, + "learning_rate": 2.5555555555555553e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1206 + }, + { + "completion_length": 117.96875, + "epoch": 1.4885872917951881, + "grad_norm": 0.10918491546806831, + "kl": 0.031982421875, + "learning_rate": 2.5493827160493823e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1207 + }, + { + "completion_length": 98.265625, + "epoch": 1.4898210980876003, + "grad_norm": 0.09493393074259654, + "kl": 0.0235595703125, + "learning_rate": 2.54320987654321e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1208 + }, + { + "completion_length": 121.5625, + "epoch": 1.4910549043800123, + "grad_norm": 0.06529474214091703, + "kl": 0.03564453125, + "learning_rate": 2.537037037037037e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1209 + }, + { + "completion_length": 121.25, + "epoch": 1.4922887106724243, + "grad_norm": 1.2442856067971755, + "kl": 0.036865234375, + "learning_rate": 2.5308641975308644e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1210 + }, + { + "completion_length": 105.078125, + "epoch": 1.4935225169648365, + "grad_norm": 1.0670285488016613, + "kl": 0.038330078125, + "learning_rate": 2.5246913580246914e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1211 + }, + { + "completion_length": 109.609375, + "epoch": 1.4947563232572487, + "grad_norm": 0.6344856404669801, + "kl": 0.029541015625, + "learning_rate": 2.5185185185185184e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1212 + }, + { + "completion_length": 97.53125, + "epoch": 1.4959901295496607, + "grad_norm": 0.11848329203289339, + "kl": 0.0389404296875, + "learning_rate": 2.5123456790123454e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1213 + }, + { + "completion_length": 109.796875, + "epoch": 1.4972239358420727, + "grad_norm": 0.07019083290394655, + "kl": 0.028076171875, + "learning_rate": 2.506172839506173e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1214 + }, + { + "completion_length": 106.875, + "epoch": 1.498457742134485, + "grad_norm": 1.4301729684280533, + "kl": 0.02728271484375, + "learning_rate": 2.5e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1215 + }, + { + "completion_length": 125.484375, + "epoch": 1.4996915484268971, + "grad_norm": 0.12343010222076647, + "kl": 0.0328369140625, + "learning_rate": 2.493827160493827e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1216 + }, + { + "completion_length": 119.28125, + "epoch": 1.500925354719309, + "grad_norm": 0.3474027313432983, + "kl": 0.03460693359375, + "learning_rate": 2.487654320987654e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1217 + }, + { + "completion_length": 107.40625, + "epoch": 1.502159161011721, + "grad_norm": 1.6263172300451643, + "kl": 0.0408935546875, + "learning_rate": 2.4814814814814814e-07, + "loss": 0.0016, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1218 + }, + { + "completion_length": 114.390625, + "epoch": 1.5033929673041333, + "grad_norm": 3.0350796947189767, + "kl": 0.0411376953125, + "learning_rate": 2.4753086419753084e-07, + "loss": 0.0016, + "reward": 1.4296875, + "reward_std": 0.140625, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4765625, + "step": 1219 + }, + { + "completion_length": 119.28125, + "epoch": 1.5046267735965455, + "grad_norm": 0.9502550664838788, + "kl": 0.03839111328125, + "learning_rate": 2.4691358024691354e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1220 + }, + { + "completion_length": 99.25, + "epoch": 1.5058605798889575, + "grad_norm": 0.5548542796936502, + "kl": 0.03094482421875, + "learning_rate": 2.462962962962963e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1221 + }, + { + "completion_length": 98.84375, + "epoch": 1.5070943861813695, + "grad_norm": 0.09814977197374862, + "kl": 0.057861328125, + "learning_rate": 2.45679012345679e-07, + "loss": 0.0023, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1222 + }, + { + "completion_length": 89.265625, + "epoch": 1.5083281924737815, + "grad_norm": 3.2560223766530094, + "kl": 0.0267333984375, + "learning_rate": 2.4506172839506175e-07, + "loss": 0.0011, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1223 + }, + { + "completion_length": 93.015625, + "epoch": 1.5095619987661937, + "grad_norm": 0.17361027422828845, + "kl": 0.0357666015625, + "learning_rate": 2.4444444444444445e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1224 + }, + { + "completion_length": 102.6875, + "epoch": 1.510795805058606, + "grad_norm": 0.13279112034637108, + "kl": 0.0357666015625, + "learning_rate": 2.4382716049382714e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1225 + }, + { + "completion_length": 102.40625, + "epoch": 1.5120296113510179, + "grad_norm": 0.21751881894963343, + "kl": 0.02947998046875, + "learning_rate": 2.432098765432099e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1226 + }, + { + "completion_length": 106.3125, + "epoch": 1.5132634176434299, + "grad_norm": 0.1575362820283755, + "kl": 0.041015625, + "learning_rate": 2.425925925925926e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1227 + }, + { + "completion_length": 106.984375, + "epoch": 1.514497223935842, + "grad_norm": 0.1549863428687447, + "kl": 0.0374755859375, + "learning_rate": 2.419753086419753e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1228 + }, + { + "completion_length": 113.109375, + "epoch": 1.5157310302282543, + "grad_norm": 0.8170722621450347, + "kl": 0.0379638671875, + "learning_rate": 2.41358024691358e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1229 + }, + { + "completion_length": 105.1875, + "epoch": 1.5169648365206663, + "grad_norm": 0.0642895462720678, + "kl": 0.0347900390625, + "learning_rate": 2.407407407407407e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1230 + }, + { + "completion_length": 105.453125, + "epoch": 1.5181986428130783, + "grad_norm": 0.16899216390733932, + "kl": 0.0274658203125, + "learning_rate": 2.4012345679012345e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1231 + }, + { + "completion_length": 100.625, + "epoch": 1.5194324491054905, + "grad_norm": 0.8334686224471721, + "kl": 0.0323486328125, + "learning_rate": 2.3950617283950615e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1232 + }, + { + "completion_length": 113.46875, + "epoch": 1.5206662553979027, + "grad_norm": 1.0592737994188441, + "kl": 0.0400390625, + "learning_rate": 2.388888888888889e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1233 + }, + { + "completion_length": 100.625, + "epoch": 1.5219000616903147, + "grad_norm": 0.2665574627916763, + "kl": 0.03155517578125, + "learning_rate": 2.3827160493827157e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1234 + }, + { + "completion_length": 104.765625, + "epoch": 1.5231338679827267, + "grad_norm": 0.15145350170792846, + "kl": 0.0445556640625, + "learning_rate": 2.376543209876543e-07, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1235 + }, + { + "completion_length": 110.546875, + "epoch": 1.5243676742751386, + "grad_norm": 0.9756180228143284, + "kl": 0.036376953125, + "learning_rate": 2.3703703703703703e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1236 + }, + { + "completion_length": 98.234375, + "epoch": 1.5256014805675508, + "grad_norm": 0.08701043861235107, + "kl": 0.0377197265625, + "learning_rate": 2.3641975308641973e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1237 + }, + { + "completion_length": 94.796875, + "epoch": 1.526835286859963, + "grad_norm": 0.9966826125602717, + "kl": 0.02972412109375, + "learning_rate": 2.3580246913580245e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1238 + }, + { + "completion_length": 112.390625, + "epoch": 1.528069093152375, + "grad_norm": 0.20055152320800732, + "kl": 0.0311279296875, + "learning_rate": 2.3518518518518518e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1239 + }, + { + "completion_length": 111.578125, + "epoch": 1.529302899444787, + "grad_norm": 0.10492541649425739, + "kl": 0.0384521484375, + "learning_rate": 2.3456790123456788e-07, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1240 + }, + { + "completion_length": 116.421875, + "epoch": 1.5305367057371992, + "grad_norm": 1.4345363391354005, + "kl": 0.0382080078125, + "learning_rate": 2.339506172839506e-07, + "loss": 0.0015, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1241 + }, + { + "completion_length": 103.609375, + "epoch": 1.5317705120296115, + "grad_norm": 3.934191665601957, + "kl": 0.0318603515625, + "learning_rate": 2.3333333333333333e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1242 + }, + { + "completion_length": 102.0, + "epoch": 1.5330043183220234, + "grad_norm": 0.07564178247188164, + "kl": 0.045166015625, + "learning_rate": 2.3271604938271606e-07, + "loss": 0.0018, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 1243 + }, + { + "completion_length": 101.296875, + "epoch": 1.5342381246144354, + "grad_norm": 9.229000003538367, + "kl": 0.02618408203125, + "learning_rate": 2.3209876543209876e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1244 + }, + { + "completion_length": 109.703125, + "epoch": 1.5354719309068476, + "grad_norm": 0.0688940583398871, + "kl": 0.031494140625, + "learning_rate": 2.3148148148148148e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1245 + }, + { + "completion_length": 118.46875, + "epoch": 1.5367057371992598, + "grad_norm": 0.08147773155046582, + "kl": 0.03857421875, + "learning_rate": 2.3086419753086418e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1246 + }, + { + "completion_length": 118.046875, + "epoch": 1.5379395434916718, + "grad_norm": 0.5205303370490372, + "kl": 0.02825927734375, + "learning_rate": 2.3024691358024688e-07, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1247 + }, + { + "completion_length": 114.4375, + "epoch": 1.5391733497840838, + "grad_norm": 1.2610165316268527, + "kl": 0.036865234375, + "learning_rate": 2.296296296296296e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1248 + }, + { + "completion_length": 105.40625, + "epoch": 1.540407156076496, + "grad_norm": 0.09171637639364466, + "kl": 0.03564453125, + "learning_rate": 2.2901234567901234e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1249 + }, + { + "completion_length": 103.46875, + "epoch": 1.5416409623689082, + "grad_norm": 2.7933493805938814, + "kl": 0.08062744140625, + "learning_rate": 2.2839506172839504e-07, + "loss": 0.0032, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1250 + }, + { + "completion_length": 111.734375, + "epoch": 1.5428747686613202, + "grad_norm": 1.0548733840694857, + "kl": 0.082763671875, + "learning_rate": 2.2777777777777776e-07, + "loss": 0.0033, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1251 + }, + { + "completion_length": 106.375, + "epoch": 1.5441085749537322, + "grad_norm": 1.5654025546615244, + "kl": 0.0487060546875, + "learning_rate": 2.271604938271605e-07, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1252 + }, + { + "completion_length": 104.890625, + "epoch": 1.5453423812461442, + "grad_norm": 1.5960565993253577, + "kl": 0.0447998046875, + "learning_rate": 2.2654320987654321e-07, + "loss": 0.0018, + "reward": 1.4609375, + "reward_std": 0.05981917306780815, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 1253 + }, + { + "completion_length": 132.671875, + "epoch": 1.5465761875385564, + "grad_norm": 1.5813934002642398, + "kl": 0.0411376953125, + "learning_rate": 2.2592592592592591e-07, + "loss": 0.0016, + "reward": 1.4453125, + "reward_std": 0.08295939117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1254 + }, + { + "completion_length": 107.453125, + "epoch": 1.5478099938309686, + "grad_norm": 1.5259777168538498, + "kl": 0.07525634765625, + "learning_rate": 2.2530864197530864e-07, + "loss": 0.003, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1255 + }, + { + "completion_length": 110.734375, + "epoch": 1.5490438001233806, + "grad_norm": 0.12673251771160518, + "kl": 0.03009033203125, + "learning_rate": 2.2469135802469137e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1256 + }, + { + "completion_length": 109.5625, + "epoch": 1.5502776064157926, + "grad_norm": 0.1178251711929235, + "kl": 0.0428466796875, + "learning_rate": 2.2407407407407407e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1257 + }, + { + "completion_length": 112.53125, + "epoch": 1.5515114127082048, + "grad_norm": 0.7998772294333772, + "kl": 0.0294189453125, + "learning_rate": 2.2345679012345677e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1258 + }, + { + "completion_length": 111.4375, + "epoch": 1.552745219000617, + "grad_norm": 0.49686820491482747, + "kl": 0.03460693359375, + "learning_rate": 2.228395061728395e-07, + "loss": 0.0014, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1259 + }, + { + "completion_length": 104.578125, + "epoch": 1.553979025293029, + "grad_norm": 0.10196493194385023, + "kl": 0.0361328125, + "learning_rate": 2.222222222222222e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1260 + }, + { + "completion_length": 118.3125, + "epoch": 1.555212831585441, + "grad_norm": 0.09771404667694716, + "kl": 0.033203125, + "learning_rate": 2.2160493827160492e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1261 + }, + { + "completion_length": 117.78125, + "epoch": 1.5564466378778532, + "grad_norm": 0.29415212351262304, + "kl": 0.035888671875, + "learning_rate": 2.2098765432098764e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1262 + }, + { + "completion_length": 103.9375, + "epoch": 1.5576804441702654, + "grad_norm": 0.6208253744386347, + "kl": 0.0423583984375, + "learning_rate": 2.2037037037037037e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1263 + }, + { + "completion_length": 105.3125, + "epoch": 1.5589142504626774, + "grad_norm": 2.517880279615088, + "kl": 0.0419921875, + "learning_rate": 2.1975308641975307e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1264 + }, + { + "completion_length": 103.640625, + "epoch": 1.5601480567550894, + "grad_norm": 1.3704336570086684, + "kl": 0.03118896484375, + "learning_rate": 2.191358024691358e-07, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1265 + }, + { + "completion_length": 108.21875, + "epoch": 1.5613818630475016, + "grad_norm": 2.629591428578773, + "kl": 0.041015625, + "learning_rate": 2.1851851851851852e-07, + "loss": 0.0016, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1266 + }, + { + "completion_length": 113.0625, + "epoch": 1.5626156693399136, + "grad_norm": 4.323818314770042, + "kl": 0.03131103515625, + "learning_rate": 2.1790123456790122e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 1267 + }, + { + "completion_length": 104.921875, + "epoch": 1.5638494756323258, + "grad_norm": 1.5031815982315717, + "kl": 0.03515625, + "learning_rate": 2.1728395061728395e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1268 + }, + { + "completion_length": 94.03125, + "epoch": 1.5650832819247378, + "grad_norm": 1.0528429869338882, + "kl": 0.0338134765625, + "learning_rate": 2.1666666666666667e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1269 + }, + { + "completion_length": 97.9375, + "epoch": 1.5663170882171498, + "grad_norm": 0.5028810657901862, + "kl": 0.039306640625, + "learning_rate": 2.1604938271604935e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1270 + }, + { + "completion_length": 107.8125, + "epoch": 1.567550894509562, + "grad_norm": 0.319656430386776, + "kl": 0.0355224609375, + "learning_rate": 2.1543209876543207e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1271 + }, + { + "completion_length": 107.0625, + "epoch": 1.5687847008019742, + "grad_norm": 1.2863373194943997, + "kl": 0.037109375, + "learning_rate": 2.148148148148148e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1272 + }, + { + "completion_length": 106.9375, + "epoch": 1.5700185070943862, + "grad_norm": 1.1440026080077996, + "kl": 0.0313720703125, + "learning_rate": 2.1419753086419753e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1273 + }, + { + "completion_length": 95.484375, + "epoch": 1.5712523133867982, + "grad_norm": 0.07845256672713238, + "kl": 0.02752685546875, + "learning_rate": 2.1358024691358023e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1274 + }, + { + "completion_length": 102.5625, + "epoch": 1.5724861196792104, + "grad_norm": 2.361895270734533, + "kl": 0.05615234375, + "learning_rate": 2.1296296296296295e-07, + "loss": 0.0022, + "reward": 1.4140625, + "reward_std": 0.171875, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4765625, + "step": 1275 + }, + { + "completion_length": 109.25, + "epoch": 1.5737199259716226, + "grad_norm": 2.6216369098140446, + "kl": 0.043212890625, + "learning_rate": 2.1234567901234568e-07, + "loss": 0.0017, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1276 + }, + { + "completion_length": 94.3125, + "epoch": 1.5749537322640346, + "grad_norm": 1.035505685833352, + "kl": 0.03497314453125, + "learning_rate": 2.1172839506172838e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1277 + }, + { + "completion_length": 95.1875, + "epoch": 1.5761875385564466, + "grad_norm": 0.7019333462808709, + "kl": 0.03082275390625, + "learning_rate": 2.111111111111111e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1278 + }, + { + "completion_length": 105.140625, + "epoch": 1.5774213448488588, + "grad_norm": 11.006951215991473, + "kl": 0.033935546875, + "learning_rate": 2.1049382716049383e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1279 + }, + { + "completion_length": 102.859375, + "epoch": 1.578655151141271, + "grad_norm": 1.2931917022821693, + "kl": 0.0462646484375, + "learning_rate": 2.0987654320987653e-07, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1280 + }, + { + "completion_length": 93.3125, + "epoch": 1.579888957433683, + "grad_norm": 0.2312634471748951, + "kl": 0.0318603515625, + "learning_rate": 2.0925925925925926e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 1281 + }, + { + "completion_length": 104.453125, + "epoch": 1.581122763726095, + "grad_norm": 1.5332532451744862, + "kl": 0.03515625, + "learning_rate": 2.0864197530864198e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1282 + }, + { + "completion_length": 96.171875, + "epoch": 1.582356570018507, + "grad_norm": 0.14155191354667643, + "kl": 0.0340576171875, + "learning_rate": 2.0802469135802468e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1283 + }, + { + "completion_length": 96.96875, + "epoch": 1.5835903763109191, + "grad_norm": 2.350609208123288, + "kl": 0.02642822265625, + "learning_rate": 2.0740740740740738e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1284 + }, + { + "completion_length": 105.109375, + "epoch": 1.5848241826033314, + "grad_norm": 1.0266911730873531, + "kl": 0.03118896484375, + "learning_rate": 2.067901234567901e-07, + "loss": 0.0012, + "reward": 1.4453125, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1285 + }, + { + "completion_length": 99.421875, + "epoch": 1.5860579888957433, + "grad_norm": 0.5743734434186214, + "kl": 0.026123046875, + "learning_rate": 2.0617283950617283e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1286 + }, + { + "completion_length": 112.359375, + "epoch": 1.5872917951881553, + "grad_norm": 2.5610443970686436, + "kl": 0.0325927734375, + "learning_rate": 2.0555555555555553e-07, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1287 + }, + { + "completion_length": 107.90625, + "epoch": 1.5885256014805675, + "grad_norm": 0.8124580980257067, + "kl": 0.026611328125, + "learning_rate": 2.0493827160493826e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 1288 + }, + { + "completion_length": 91.6875, + "epoch": 1.5897594077729797, + "grad_norm": 1.060178389893724, + "kl": 0.029052734375, + "learning_rate": 2.04320987654321e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1289 + }, + { + "completion_length": 101.109375, + "epoch": 1.5909932140653917, + "grad_norm": 0.0940558957670211, + "kl": 0.02734375, + "learning_rate": 2.0370370370370369e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1290 + }, + { + "completion_length": 100.828125, + "epoch": 1.5922270203578037, + "grad_norm": 0.8366702449721991, + "kl": 0.0382080078125, + "learning_rate": 2.030864197530864e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1291 + }, + { + "completion_length": 100.125, + "epoch": 1.593460826650216, + "grad_norm": 1.1592330570342968, + "kl": 0.02337646484375, + "learning_rate": 2.0246913580246914e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1292 + }, + { + "completion_length": 114.015625, + "epoch": 1.5946946329426281, + "grad_norm": 0.6126160680582586, + "kl": 0.0283203125, + "learning_rate": 2.0185185185185187e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1293 + }, + { + "completion_length": 99.84375, + "epoch": 1.5959284392350401, + "grad_norm": 0.9673231491445731, + "kl": 0.03485107421875, + "learning_rate": 2.0123456790123457e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1294 + }, + { + "completion_length": 94.640625, + "epoch": 1.5971622455274521, + "grad_norm": 0.11532918586096787, + "kl": 0.0364990234375, + "learning_rate": 2.0061728395061726e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1295 + }, + { + "completion_length": 98.921875, + "epoch": 1.5983960518198643, + "grad_norm": 2.951038180625448, + "kl": 0.0281982421875, + "learning_rate": 2e-07, + "loss": 0.0011, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1296 + }, + { + "completion_length": 109.0625, + "epoch": 1.5996298581122765, + "grad_norm": 1.7584538146360233, + "kl": 0.0316162109375, + "learning_rate": 1.993827160493827e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1297 + }, + { + "completion_length": 97.3125, + "epoch": 1.6008636644046885, + "grad_norm": 0.10234538246339354, + "kl": 0.02850341796875, + "learning_rate": 1.9876543209876542e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1298 + }, + { + "completion_length": 94.578125, + "epoch": 1.6020974706971005, + "grad_norm": 1.0598725242465705, + "kl": 0.0400390625, + "learning_rate": 1.9814814814814814e-07, + "loss": 0.0016, + "reward": 1.4375, + "reward_std": 0.125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 1299 + }, + { + "completion_length": 99.265625, + "epoch": 1.6033312769895125, + "grad_norm": 1.5146077496022115, + "kl": 0.0316162109375, + "learning_rate": 1.9753086419753084e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1300 + }, + { + "completion_length": 96.421875, + "epoch": 1.6045650832819247, + "grad_norm": 0.09276194942115701, + "kl": 0.02886962890625, + "learning_rate": 1.9691358024691357e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1301 + }, + { + "completion_length": 104.375, + "epoch": 1.605798889574337, + "grad_norm": 0.12506810659751455, + "kl": 0.02679443359375, + "learning_rate": 1.962962962962963e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1302 + }, + { + "completion_length": 102.03125, + "epoch": 1.607032695866749, + "grad_norm": 1.467864533478323, + "kl": 0.03515625, + "learning_rate": 1.95679012345679e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1303 + }, + { + "completion_length": 101.015625, + "epoch": 1.608266502159161, + "grad_norm": 1.5713282419022618, + "kl": 0.0474853515625, + "learning_rate": 1.9506172839506172e-07, + "loss": 0.0019, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1304 + }, + { + "completion_length": 98.25, + "epoch": 1.609500308451573, + "grad_norm": 0.0862152973518818, + "kl": 0.02557373046875, + "learning_rate": 1.9444444444444445e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1305 + }, + { + "completion_length": 93.3125, + "epoch": 1.6107341147439853, + "grad_norm": 3.669133679134408, + "kl": 0.0240478515625, + "learning_rate": 1.9382716049382717e-07, + "loss": 0.001, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1306 + }, + { + "completion_length": 89.484375, + "epoch": 1.6119679210363973, + "grad_norm": 0.5927905868450226, + "kl": 0.02947998046875, + "learning_rate": 1.9320987654320985e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1307 + }, + { + "completion_length": 92.203125, + "epoch": 1.6132017273288093, + "grad_norm": 0.8746507946622621, + "kl": 0.03277587890625, + "learning_rate": 1.9259259259259257e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1308 + }, + { + "completion_length": 95.9375, + "epoch": 1.6144355336212215, + "grad_norm": 0.1235273446994063, + "kl": 0.03045654296875, + "learning_rate": 1.919753086419753e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1309 + }, + { + "completion_length": 97.046875, + "epoch": 1.6156693399136337, + "grad_norm": 1.4483844588811388, + "kl": 0.02301025390625, + "learning_rate": 1.91358024691358e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1310 + }, + { + "completion_length": 92.46875, + "epoch": 1.6169031462060457, + "grad_norm": 0.7388991849212375, + "kl": 0.0302734375, + "learning_rate": 1.9074074074074073e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1311 + }, + { + "completion_length": 101.171875, + "epoch": 1.6181369524984577, + "grad_norm": 0.31246117957454, + "kl": 0.02459716796875, + "learning_rate": 1.9012345679012345e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1312 + }, + { + "completion_length": 97.0, + "epoch": 1.6193707587908697, + "grad_norm": 1.4378111277934829, + "kl": 0.08026123046875, + "learning_rate": 1.8950617283950615e-07, + "loss": 0.0032, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1313 + }, + { + "completion_length": 92.640625, + "epoch": 1.6206045650832819, + "grad_norm": 0.14156019467848113, + "kl": 0.0252685546875, + "learning_rate": 1.8888888888888888e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1314 + }, + { + "completion_length": 106.03125, + "epoch": 1.621838371375694, + "grad_norm": 0.1035799009534891, + "kl": 0.02789306640625, + "learning_rate": 1.882716049382716e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1315 + }, + { + "completion_length": 100.0625, + "epoch": 1.623072177668106, + "grad_norm": 0.1565223118466336, + "kl": 0.0294189453125, + "learning_rate": 1.8765432098765433e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1316 + }, + { + "completion_length": 107.703125, + "epoch": 1.624305983960518, + "grad_norm": 2.693939403536461, + "kl": 0.02349853515625, + "learning_rate": 1.8703703703703703e-07, + "loss": 0.0009, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1317 + }, + { + "completion_length": 92.875, + "epoch": 1.6255397902529303, + "grad_norm": 1.030396150173423, + "kl": 0.033935546875, + "learning_rate": 1.8641975308641976e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1318 + }, + { + "completion_length": 102.21875, + "epoch": 1.6267735965453425, + "grad_norm": 0.13474229607676735, + "kl": 0.02313232421875, + "learning_rate": 1.8580246913580248e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1319 + }, + { + "completion_length": 102.9375, + "epoch": 1.6280074028377545, + "grad_norm": 0.08181505599774405, + "kl": 0.02142333984375, + "learning_rate": 1.8518518518518516e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1320 + }, + { + "completion_length": 116.609375, + "epoch": 1.6292412091301665, + "grad_norm": 0.1594041781662282, + "kl": 0.02239990234375, + "learning_rate": 1.8456790123456788e-07, + "loss": 0.0009, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1321 + }, + { + "completion_length": 97.828125, + "epoch": 1.6304750154225787, + "grad_norm": 0.5332676426944427, + "kl": 0.0245361328125, + "learning_rate": 1.839506172839506e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1322 + }, + { + "completion_length": 108.171875, + "epoch": 1.6317088217149909, + "grad_norm": 1.0138705646020234, + "kl": 0.03515625, + "learning_rate": 1.833333333333333e-07, + "loss": 0.0014, + "reward": 1.3984375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.4921875, + "step": 1323 + }, + { + "completion_length": 116.359375, + "epoch": 1.6329426280074029, + "grad_norm": 1.1103567794899458, + "kl": 0.02606201171875, + "learning_rate": 1.8271604938271603e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1324 + }, + { + "completion_length": 105.640625, + "epoch": 1.6341764342998149, + "grad_norm": 3.571306230496162, + "kl": 0.03570556640625, + "learning_rate": 1.8209876543209876e-07, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1325 + }, + { + "completion_length": 101.390625, + "epoch": 1.635410240592227, + "grad_norm": 0.5313391107695553, + "kl": 0.0316162109375, + "learning_rate": 1.8148148148148149e-07, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1326 + }, + { + "completion_length": 119.5, + "epoch": 1.6366440468846393, + "grad_norm": 1.2228658412066975, + "kl": 0.0294189453125, + "learning_rate": 1.8086419753086419e-07, + "loss": 0.0012, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1327 + }, + { + "completion_length": 119.328125, + "epoch": 1.6378778531770513, + "grad_norm": 0.5682530195188285, + "kl": 0.020904541015625, + "learning_rate": 1.802469135802469e-07, + "loss": 0.0008, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1328 + }, + { + "completion_length": 127.03125, + "epoch": 1.6391116594694632, + "grad_norm": 2.0214124775379796, + "kl": 0.0286865234375, + "learning_rate": 1.7962962962962964e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1329 + }, + { + "completion_length": 111.015625, + "epoch": 1.6403454657618752, + "grad_norm": 0.20477335211657835, + "kl": 0.0238037109375, + "learning_rate": 1.7901234567901234e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1330 + }, + { + "completion_length": 107.21875, + "epoch": 1.6415792720542874, + "grad_norm": 7.850219916899309, + "kl": 0.02734375, + "learning_rate": 1.7839506172839506e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1331 + }, + { + "completion_length": 120.828125, + "epoch": 1.6428130783466997, + "grad_norm": 0.09746497604775431, + "kl": 0.03033447265625, + "learning_rate": 1.7777777777777776e-07, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1332 + }, + { + "completion_length": 131.171875, + "epoch": 1.6440468846391116, + "grad_norm": 0.6521596083260272, + "kl": 0.0400390625, + "learning_rate": 1.7716049382716046e-07, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1333 + }, + { + "completion_length": 116.671875, + "epoch": 1.6452806909315236, + "grad_norm": 1.099542410122875, + "kl": 0.02557373046875, + "learning_rate": 1.765432098765432e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1334 + }, + { + "completion_length": 119.71875, + "epoch": 1.6465144972239358, + "grad_norm": 1.2017514951019044, + "kl": 0.0350341796875, + "learning_rate": 1.7592592592592592e-07, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1335 + }, + { + "completion_length": 107.78125, + "epoch": 1.647748303516348, + "grad_norm": 2.290395674067443, + "kl": 0.02569580078125, + "learning_rate": 1.7530864197530864e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1336 + }, + { + "completion_length": 126.578125, + "epoch": 1.64898210980876, + "grad_norm": 0.20223147451523946, + "kl": 0.02276611328125, + "learning_rate": 1.7469135802469134e-07, + "loss": 0.0009, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1337 + }, + { + "completion_length": 91.734375, + "epoch": 1.650215916101172, + "grad_norm": 0.07365169408963325, + "kl": 0.01995849609375, + "learning_rate": 1.7407407407407407e-07, + "loss": 0.0008, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1338 + }, + { + "completion_length": 107.125, + "epoch": 1.6514497223935842, + "grad_norm": 0.7428586576957739, + "kl": 0.03106689453125, + "learning_rate": 1.734567901234568e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1339 + }, + { + "completion_length": 108.546875, + "epoch": 1.6526835286859964, + "grad_norm": 0.06530035828995503, + "kl": 0.03045654296875, + "learning_rate": 1.728395061728395e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1340 + }, + { + "completion_length": 119.53125, + "epoch": 1.6539173349784084, + "grad_norm": 0.6171885789784378, + "kl": 0.02874755859375, + "learning_rate": 1.7222222222222222e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1341 + }, + { + "completion_length": 100.453125, + "epoch": 1.6551511412708204, + "grad_norm": 1.879714997962942, + "kl": 0.0279541015625, + "learning_rate": 1.7160493827160495e-07, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1342 + }, + { + "completion_length": 112.875, + "epoch": 1.6563849475632326, + "grad_norm": 0.1191063874553689, + "kl": 0.0291748046875, + "learning_rate": 1.7098765432098765e-07, + "loss": 0.0012, + "reward": 1.4609375, + "reward_std": 0.05981917306780815, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 1343 + }, + { + "completion_length": 114.34375, + "epoch": 1.6576187538556446, + "grad_norm": 1.1099433000657744, + "kl": 0.0238037109375, + "learning_rate": 1.7037037037037035e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1344 + }, + { + "completion_length": 102.328125, + "epoch": 1.6588525601480568, + "grad_norm": 0.7087558758997149, + "kl": 0.02581787109375, + "learning_rate": 1.6975308641975307e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1345 + }, + { + "completion_length": 124.234375, + "epoch": 1.6600863664404688, + "grad_norm": 0.202831587911513, + "kl": 0.033203125, + "learning_rate": 1.691358024691358e-07, + "loss": 0.0013, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1346 + }, + { + "completion_length": 99.59375, + "epoch": 1.6613201727328808, + "grad_norm": 0.5434414693751896, + "kl": 0.02587890625, + "learning_rate": 1.685185185185185e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1347 + }, + { + "completion_length": 119.171875, + "epoch": 1.662553979025293, + "grad_norm": 0.058626789728843075, + "kl": 0.02679443359375, + "learning_rate": 1.6790123456790122e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1348 + }, + { + "completion_length": 92.34375, + "epoch": 1.6637877853177052, + "grad_norm": 0.2367055817086274, + "kl": 0.03216552734375, + "learning_rate": 1.6728395061728395e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1349 + }, + { + "completion_length": 97.171875, + "epoch": 1.6650215916101172, + "grad_norm": 0.954244187394805, + "kl": 0.0322265625, + "learning_rate": 1.6666666666666665e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1350 + }, + { + "completion_length": 124.15625, + "epoch": 1.6662553979025292, + "grad_norm": 0.2920012366343204, + "kl": 0.02740478515625, + "learning_rate": 1.6604938271604938e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1351 + }, + { + "completion_length": 106.890625, + "epoch": 1.6674892041949414, + "grad_norm": 0.08774526436057598, + "kl": 0.031982421875, + "learning_rate": 1.654320987654321e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1352 + }, + { + "completion_length": 110.859375, + "epoch": 1.6687230104873536, + "grad_norm": 1.0687052758886875, + "kl": 0.02337646484375, + "learning_rate": 1.648148148148148e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1353 + }, + { + "completion_length": 92.515625, + "epoch": 1.6699568167797656, + "grad_norm": 0.1102040663133227, + "kl": 0.029052734375, + "learning_rate": 1.6419753086419753e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1354 + }, + { + "completion_length": 100.171875, + "epoch": 1.6711906230721776, + "grad_norm": 0.7914506657826068, + "kl": 0.02203369140625, + "learning_rate": 1.6358024691358025e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1355 + }, + { + "completion_length": 100.078125, + "epoch": 1.6724244293645898, + "grad_norm": 2.899478487705983, + "kl": 0.02496337890625, + "learning_rate": 1.6296296296296298e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1356 + }, + { + "completion_length": 104.015625, + "epoch": 1.673658235657002, + "grad_norm": 1.1515804947110242, + "kl": 0.02752685546875, + "learning_rate": 1.6234567901234565e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1357 + }, + { + "completion_length": 105.734375, + "epoch": 1.674892041949414, + "grad_norm": 0.09006788997188868, + "kl": 0.0318603515625, + "learning_rate": 1.6172839506172838e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1358 + }, + { + "completion_length": 104.46875, + "epoch": 1.676125848241826, + "grad_norm": 0.663392127721205, + "kl": 0.03570556640625, + "learning_rate": 1.611111111111111e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1359 + }, + { + "completion_length": 97.625, + "epoch": 1.677359654534238, + "grad_norm": 0.30081579210239634, + "kl": 0.02703857421875, + "learning_rate": 1.604938271604938e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1360 + }, + { + "completion_length": 105.515625, + "epoch": 1.6785934608266502, + "grad_norm": 0.08627130657007966, + "kl": 0.03814697265625, + "learning_rate": 1.5987654320987653e-07, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1361 + }, + { + "completion_length": 92.625, + "epoch": 1.6798272671190624, + "grad_norm": 1.6151700630018186, + "kl": 0.02764892578125, + "learning_rate": 1.5925925925925926e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1362 + }, + { + "completion_length": 97.53125, + "epoch": 1.6810610734114744, + "grad_norm": 0.8783106140073039, + "kl": 0.04229736328125, + "learning_rate": 1.5864197530864196e-07, + "loss": 0.0017, + "reward": 1.40625, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.484375, + "step": 1363 + }, + { + "completion_length": 120.5, + "epoch": 1.6822948797038864, + "grad_norm": 2.2588345081942522, + "kl": 0.03228759765625, + "learning_rate": 1.5802469135802468e-07, + "loss": 0.0013, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1364 + }, + { + "completion_length": 94.21875, + "epoch": 1.6835286859962986, + "grad_norm": 0.7642876864747877, + "kl": 0.0279541015625, + "learning_rate": 1.574074074074074e-07, + "loss": 0.0011, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1365 + }, + { + "completion_length": 103.171875, + "epoch": 1.6847624922887108, + "grad_norm": 0.9100437364800392, + "kl": 0.03265380859375, + "learning_rate": 1.5679012345679014e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1366 + }, + { + "completion_length": 92.796875, + "epoch": 1.6859962985811228, + "grad_norm": 0.21027350847539203, + "kl": 0.02484130859375, + "learning_rate": 1.5617283950617284e-07, + "loss": 0.001, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1367 + }, + { + "completion_length": 95.25, + "epoch": 1.6872301048735348, + "grad_norm": 2.387527385168726, + "kl": 0.04150390625, + "learning_rate": 1.5555555555555556e-07, + "loss": 0.0017, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1368 + }, + { + "completion_length": 89.796875, + "epoch": 1.688463911165947, + "grad_norm": 0.6076062671512773, + "kl": 0.03204345703125, + "learning_rate": 1.5493827160493826e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1369 + }, + { + "completion_length": 99.453125, + "epoch": 1.6896977174583592, + "grad_norm": 0.1052515261025449, + "kl": 0.022705078125, + "learning_rate": 1.5432098765432096e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1370 + }, + { + "completion_length": 106.421875, + "epoch": 1.6909315237507712, + "grad_norm": 3.532388546549513, + "kl": 0.04266357421875, + "learning_rate": 1.537037037037037e-07, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1371 + }, + { + "completion_length": 99.9375, + "epoch": 1.6921653300431831, + "grad_norm": 0.09730663771377894, + "kl": 0.031982421875, + "learning_rate": 1.5308641975308642e-07, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1372 + }, + { + "completion_length": 109.609375, + "epoch": 1.6933991363355954, + "grad_norm": 0.6758211526981891, + "kl": 0.04888916015625, + "learning_rate": 1.5246913580246911e-07, + "loss": 0.002, + "reward": 1.4296875, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1373 + }, + { + "completion_length": 87.109375, + "epoch": 1.6946329426280076, + "grad_norm": 1.751539616131159, + "kl": 0.042724609375, + "learning_rate": 1.5185185185185184e-07, + "loss": 0.0017, + "reward": 1.4453125, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1374 + }, + { + "completion_length": 118.375, + "epoch": 1.6958667489204196, + "grad_norm": 1.3797304047877794, + "kl": 0.02880859375, + "learning_rate": 1.5123456790123457e-07, + "loss": 0.0012, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1375 + }, + { + "completion_length": 99.984375, + "epoch": 1.6971005552128315, + "grad_norm": 0.10901502526069673, + "kl": 0.032958984375, + "learning_rate": 1.506172839506173e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1376 + }, + { + "completion_length": 102.03125, + "epoch": 1.6983343615052435, + "grad_norm": 1.2354622720737056, + "kl": 0.03466796875, + "learning_rate": 1.5e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1377 + }, + { + "completion_length": 99.484375, + "epoch": 1.6995681677976557, + "grad_norm": 0.6618110177338741, + "kl": 0.02178955078125, + "learning_rate": 1.4938271604938272e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1378 + }, + { + "completion_length": 95.171875, + "epoch": 1.700801974090068, + "grad_norm": 0.14236056985376963, + "kl": 0.03466796875, + "learning_rate": 1.4876543209876545e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1379 + }, + { + "completion_length": 91.28125, + "epoch": 1.70203578038248, + "grad_norm": 1.3876984887588433, + "kl": 0.02557373046875, + "learning_rate": 1.4814814814814815e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1380 + }, + { + "completion_length": 96.875, + "epoch": 1.703269586674892, + "grad_norm": 0.9548391913941656, + "kl": 0.03515625, + "learning_rate": 1.4753086419753085e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1381 + }, + { + "completion_length": 108.109375, + "epoch": 1.7045033929673041, + "grad_norm": 0.23469967704718256, + "kl": 0.0325927734375, + "learning_rate": 1.4691358024691357e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1382 + }, + { + "completion_length": 112.765625, + "epoch": 1.7057371992597163, + "grad_norm": 0.8274913256077211, + "kl": 0.0267333984375, + "learning_rate": 1.4629629629629627e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1383 + }, + { + "completion_length": 98.859375, + "epoch": 1.7069710055521283, + "grad_norm": 0.06824033715348325, + "kl": 0.0291748046875, + "learning_rate": 1.45679012345679e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1384 + }, + { + "completion_length": 100.375, + "epoch": 1.7082048118445403, + "grad_norm": 0.08425281642544698, + "kl": 0.0325927734375, + "learning_rate": 1.4506172839506172e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1385 + }, + { + "completion_length": 96.265625, + "epoch": 1.7094386181369525, + "grad_norm": 0.5390475278752611, + "kl": 0.1165771484375, + "learning_rate": 1.4444444444444442e-07, + "loss": 0.0046, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1386 + }, + { + "completion_length": 98.5, + "epoch": 1.7106724244293647, + "grad_norm": 2.107445783333534, + "kl": 0.02276611328125, + "learning_rate": 1.4382716049382715e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1387 + }, + { + "completion_length": 101.109375, + "epoch": 1.7119062307217767, + "grad_norm": 0.11088487958901973, + "kl": 0.0333251953125, + "learning_rate": 1.4320987654320988e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1388 + }, + { + "completion_length": 85.84375, + "epoch": 1.7131400370141887, + "grad_norm": 0.08940735280231245, + "kl": 0.033203125, + "learning_rate": 1.425925925925926e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1389 + }, + { + "completion_length": 98.921875, + "epoch": 1.7143738433066007, + "grad_norm": 1.7532484628556302, + "kl": 0.02960205078125, + "learning_rate": 1.419753086419753e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1390 + }, + { + "completion_length": 102.1875, + "epoch": 1.715607649599013, + "grad_norm": 0.08555794418632277, + "kl": 0.031982421875, + "learning_rate": 1.4135802469135803e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1391 + }, + { + "completion_length": 105.140625, + "epoch": 1.7168414558914251, + "grad_norm": 0.25686072448122005, + "kl": 0.03076171875, + "learning_rate": 1.4074074074074075e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1392 + }, + { + "completion_length": 96.640625, + "epoch": 1.718075262183837, + "grad_norm": 0.1840644536181327, + "kl": 0.03155517578125, + "learning_rate": 1.4012345679012343e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1393 + }, + { + "completion_length": 105.625, + "epoch": 1.719309068476249, + "grad_norm": 0.13815383915113125, + "kl": 0.02691650390625, + "learning_rate": 1.3950617283950615e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1394 + }, + { + "completion_length": 97.96875, + "epoch": 1.7205428747686613, + "grad_norm": 2.2950080934495283, + "kl": 0.0245361328125, + "learning_rate": 1.3888888888888888e-07, + "loss": 0.001, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1395 + }, + { + "completion_length": 103.78125, + "epoch": 1.7217766810610735, + "grad_norm": 1.3058752679370733, + "kl": 0.02801513671875, + "learning_rate": 1.3827160493827158e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1396 + }, + { + "completion_length": 99.765625, + "epoch": 1.7230104873534855, + "grad_norm": 0.5599871282426092, + "kl": 0.0333251953125, + "learning_rate": 1.376543209876543e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1397 + }, + { + "completion_length": 100.78125, + "epoch": 1.7242442936458975, + "grad_norm": 0.10348634230800298, + "kl": 0.0267333984375, + "learning_rate": 1.3703703703703703e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1398 + }, + { + "completion_length": 108.390625, + "epoch": 1.7254780999383097, + "grad_norm": 0.14706548676730236, + "kl": 0.0355224609375, + "learning_rate": 1.3641975308641976e-07, + "loss": 0.0014, + "reward": 1.4140625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.4921875, + "step": 1399 + }, + { + "completion_length": 94.765625, + "epoch": 1.726711906230722, + "grad_norm": 0.8299733200984437, + "kl": 0.034912109375, + "learning_rate": 1.3580246913580246e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1400 + }, + { + "completion_length": 98.546875, + "epoch": 1.727945712523134, + "grad_norm": 1.383882521881416, + "kl": 0.107666015625, + "learning_rate": 1.3518518518518518e-07, + "loss": 0.0043, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4765625, + "step": 1401 + }, + { + "completion_length": 100.765625, + "epoch": 1.7291795188155459, + "grad_norm": 1.6407620628819088, + "kl": 0.0323486328125, + "learning_rate": 1.345679012345679e-07, + "loss": 0.0013, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1402 + }, + { + "completion_length": 110.1875, + "epoch": 1.730413325107958, + "grad_norm": 0.8796626435834584, + "kl": 0.02435302734375, + "learning_rate": 1.339506172839506e-07, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1403 + }, + { + "completion_length": 107.78125, + "epoch": 1.7316471314003703, + "grad_norm": 0.06561080972739047, + "kl": 0.026611328125, + "learning_rate": 1.3333333333333334e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1404 + }, + { + "completion_length": 106.453125, + "epoch": 1.7328809376927823, + "grad_norm": 0.7518431512522042, + "kl": 0.039306640625, + "learning_rate": 1.3271604938271606e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1405 + }, + { + "completion_length": 96.546875, + "epoch": 1.7341147439851943, + "grad_norm": 1.0715805402028156, + "kl": 0.02752685546875, + "learning_rate": 1.3209876543209874e-07, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1406 + }, + { + "completion_length": 114.46875, + "epoch": 1.7353485502776063, + "grad_norm": 0.11725683248318118, + "kl": 0.03131103515625, + "learning_rate": 1.3148148148148146e-07, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1407 + }, + { + "completion_length": 106.578125, + "epoch": 1.7365823565700185, + "grad_norm": 0.6120214191545398, + "kl": 0.02667236328125, + "learning_rate": 1.308641975308642e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1408 + }, + { + "completion_length": 104.328125, + "epoch": 1.7378161628624307, + "grad_norm": 1.290660059733559, + "kl": 0.04248046875, + "learning_rate": 1.3024691358024691e-07, + "loss": 0.0017, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1409 + }, + { + "completion_length": 112.640625, + "epoch": 1.7390499691548427, + "grad_norm": 1.7780021028747128, + "kl": 0.0401611328125, + "learning_rate": 1.2962962962962961e-07, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1410 + }, + { + "completion_length": 99.625, + "epoch": 1.7402837754472547, + "grad_norm": 1.470827786435634, + "kl": 0.0338134765625, + "learning_rate": 1.2901234567901234e-07, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1411 + }, + { + "completion_length": 116.421875, + "epoch": 1.7415175817396669, + "grad_norm": 0.10182982182742858, + "kl": 0.03143310546875, + "learning_rate": 1.2839506172839507e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1412 + }, + { + "completion_length": 100.859375, + "epoch": 1.742751388032079, + "grad_norm": 0.08476164562504795, + "kl": 0.02288818359375, + "learning_rate": 1.2777777777777777e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1413 + }, + { + "completion_length": 104.125, + "epoch": 1.743985194324491, + "grad_norm": 0.0848875477228067, + "kl": 0.02838134765625, + "learning_rate": 1.271604938271605e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1414 + }, + { + "completion_length": 118.078125, + "epoch": 1.745219000616903, + "grad_norm": 0.970253136099874, + "kl": 0.0350341796875, + "learning_rate": 1.2654320987654322e-07, + "loss": 0.0014, + "reward": 1.4609375, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1415 + }, + { + "completion_length": 107.578125, + "epoch": 1.7464528069093153, + "grad_norm": 0.14035278721199948, + "kl": 0.0391845703125, + "learning_rate": 1.2592592592592592e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1416 + }, + { + "completion_length": 103.65625, + "epoch": 1.7476866132017275, + "grad_norm": 0.9796944873013933, + "kl": 0.026611328125, + "learning_rate": 1.2530864197530864e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1417 + }, + { + "completion_length": 115.140625, + "epoch": 1.7489204194941395, + "grad_norm": 0.5390131925462827, + "kl": 0.1197509765625, + "learning_rate": 1.2469135802469134e-07, + "loss": 0.0048, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1418 + }, + { + "completion_length": 110.0625, + "epoch": 1.7501542257865514, + "grad_norm": 2.194859432827035, + "kl": 0.03302001953125, + "learning_rate": 1.2407407407407407e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1419 + }, + { + "completion_length": 108.015625, + "epoch": 1.7513880320789637, + "grad_norm": 0.07862199676017104, + "kl": 0.027099609375, + "learning_rate": 1.2345679012345677e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1420 + }, + { + "completion_length": 107.828125, + "epoch": 1.7526218383713756, + "grad_norm": 0.11371760090815061, + "kl": 0.02581787109375, + "learning_rate": 1.228395061728395e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1421 + }, + { + "completion_length": 101.578125, + "epoch": 1.7538556446637878, + "grad_norm": 0.06940946608469405, + "kl": 0.02117919921875, + "learning_rate": 1.2222222222222222e-07, + "loss": 0.0008, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1422 + }, + { + "completion_length": 111.546875, + "epoch": 1.7550894509561998, + "grad_norm": 0.11594030374172327, + "kl": 0.03082275390625, + "learning_rate": 1.2160493827160495e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1423 + }, + { + "completion_length": 91.453125, + "epoch": 1.7563232572486118, + "grad_norm": 0.53653744137009, + "kl": 0.0408935546875, + "learning_rate": 1.2098765432098765e-07, + "loss": 0.0016, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1424 + }, + { + "completion_length": 111.21875, + "epoch": 1.757557063541024, + "grad_norm": 2.1436969463361653, + "kl": 0.0419921875, + "learning_rate": 1.2037037037037035e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1425 + }, + { + "completion_length": 106.546875, + "epoch": 1.7587908698334362, + "grad_norm": 1.54797984158192, + "kl": 0.049560546875, + "learning_rate": 1.1975308641975307e-07, + "loss": 0.002, + "reward": 1.421875, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.484375, + "step": 1426 + }, + { + "completion_length": 101.78125, + "epoch": 1.7600246761258482, + "grad_norm": 0.07178930829164053, + "kl": 0.0335693359375, + "learning_rate": 1.1913580246913579e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1427 + }, + { + "completion_length": 95.0625, + "epoch": 1.7612584824182602, + "grad_norm": 1.1359994378785485, + "kl": 0.0277099609375, + "learning_rate": 1.1851851851851851e-07, + "loss": 0.0011, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1428 + }, + { + "completion_length": 103.5625, + "epoch": 1.7624922887106724, + "grad_norm": 0.11780892851039607, + "kl": 0.0247802734375, + "learning_rate": 1.1790123456790123e-07, + "loss": 0.001, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1429 + }, + { + "completion_length": 107.453125, + "epoch": 1.7637260950030846, + "grad_norm": 1.8271251571563452, + "kl": 0.0323486328125, + "learning_rate": 1.1728395061728394e-07, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1430 + }, + { + "completion_length": 113.484375, + "epoch": 1.7649599012954966, + "grad_norm": 0.15129691875267576, + "kl": 0.03436279296875, + "learning_rate": 1.1666666666666667e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1431 + }, + { + "completion_length": 107.859375, + "epoch": 1.7661937075879086, + "grad_norm": 0.13757243117027732, + "kl": 0.0399169921875, + "learning_rate": 1.1604938271604938e-07, + "loss": 0.0016, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1432 + }, + { + "completion_length": 89.390625, + "epoch": 1.7674275138803208, + "grad_norm": 1.0401303856091588, + "kl": 0.02978515625, + "learning_rate": 1.1543209876543209e-07, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1433 + }, + { + "completion_length": 102.1875, + "epoch": 1.768661320172733, + "grad_norm": 1.0271769716893928, + "kl": 0.0361328125, + "learning_rate": 1.148148148148148e-07, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1434 + }, + { + "completion_length": 101.109375, + "epoch": 1.769895126465145, + "grad_norm": 2.1570423983193905, + "kl": 0.02935791015625, + "learning_rate": 1.1419753086419752e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1435 + }, + { + "completion_length": 106.4375, + "epoch": 1.771128932757557, + "grad_norm": 0.757183764484071, + "kl": 0.03759765625, + "learning_rate": 1.1358024691358024e-07, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1436 + }, + { + "completion_length": 91.5, + "epoch": 1.772362739049969, + "grad_norm": 1.0007680256454679, + "kl": 0.0244140625, + "learning_rate": 1.1296296296296296e-07, + "loss": 0.001, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1437 + }, + { + "completion_length": 108.234375, + "epoch": 1.7735965453423812, + "grad_norm": 0.10005292674220094, + "kl": 0.02239990234375, + "learning_rate": 1.1234567901234568e-07, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1438 + }, + { + "completion_length": 97.609375, + "epoch": 1.7748303516347934, + "grad_norm": 0.9185992426637551, + "kl": 0.0360107421875, + "learning_rate": 1.1172839506172838e-07, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1439 + }, + { + "completion_length": 87.125, + "epoch": 1.7760641579272054, + "grad_norm": 0.1829395021743115, + "kl": 0.02197265625, + "learning_rate": 1.111111111111111e-07, + "loss": 0.0009, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1440 + }, + { + "completion_length": 125.390625, + "epoch": 1.7772979642196174, + "grad_norm": 0.5807764006205707, + "kl": 0.027099609375, + "learning_rate": 1.1049382716049382e-07, + "loss": 0.0011, + "reward": 1.4609375, + "reward_std": 0.078125, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1441 + }, + { + "completion_length": 110.78125, + "epoch": 1.7785317705120296, + "grad_norm": 1.0232209596402313, + "kl": 0.04345703125, + "learning_rate": 1.0987654320987653e-07, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1442 + }, + { + "completion_length": 104.515625, + "epoch": 1.7797655768044418, + "grad_norm": 0.876358851089437, + "kl": 0.0430908203125, + "learning_rate": 1.0925925925925926e-07, + "loss": 0.0017, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1443 + }, + { + "completion_length": 106.734375, + "epoch": 1.7809993830968538, + "grad_norm": 0.8307271018770138, + "kl": 0.0325927734375, + "learning_rate": 1.0864197530864197e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1444 + }, + { + "completion_length": 96.78125, + "epoch": 1.7822331893892658, + "grad_norm": 0.1542743224272362, + "kl": 0.036865234375, + "learning_rate": 1.0802469135802467e-07, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1445 + }, + { + "completion_length": 112.75, + "epoch": 1.783466995681678, + "grad_norm": 0.1516379152314169, + "kl": 0.0333251953125, + "learning_rate": 1.074074074074074e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1446 + }, + { + "completion_length": 94.34375, + "epoch": 1.7847008019740902, + "grad_norm": 0.09712765578547754, + "kl": 0.02764892578125, + "learning_rate": 1.0679012345679011e-07, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1447 + }, + { + "completion_length": 99.8125, + "epoch": 1.7859346082665022, + "grad_norm": 0.6100845392009012, + "kl": 0.029052734375, + "learning_rate": 1.0617283950617284e-07, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1448 + }, + { + "completion_length": 111.3125, + "epoch": 1.7871684145589142, + "grad_norm": 0.7547695761812757, + "kl": 0.0428466796875, + "learning_rate": 1.0555555555555555e-07, + "loss": 0.0017, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1449 + }, + { + "completion_length": 109.3125, + "epoch": 1.7884022208513264, + "grad_norm": 1.796054110808948, + "kl": 0.0335693359375, + "learning_rate": 1.0493827160493827e-07, + "loss": 0.0013, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1450 + }, + { + "completion_length": 97.96875, + "epoch": 1.7896360271437386, + "grad_norm": 1.0543622500997236, + "kl": 0.04150390625, + "learning_rate": 1.0432098765432099e-07, + "loss": 0.0017, + "reward": 1.390625, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.890625, + "rewards/format_reward": 0.5, + "step": 1451 + }, + { + "completion_length": 113.546875, + "epoch": 1.7908698334361506, + "grad_norm": 24.186181870721974, + "kl": 0.02935791015625, + "learning_rate": 1.0370370370370369e-07, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1452 + }, + { + "completion_length": 102.234375, + "epoch": 1.7921036397285626, + "grad_norm": 0.10755192516330205, + "kl": 0.03387451171875, + "learning_rate": 1.0308641975308642e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1453 + }, + { + "completion_length": 107.671875, + "epoch": 1.7933374460209746, + "grad_norm": 0.14766367000829697, + "kl": 0.0360107421875, + "learning_rate": 1.0246913580246913e-07, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1454 + }, + { + "completion_length": 101.015625, + "epoch": 1.7945712523133868, + "grad_norm": 1.6567340157535717, + "kl": 0.036865234375, + "learning_rate": 1.0185185185185184e-07, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1455 + }, + { + "completion_length": 109.65625, + "epoch": 1.795805058605799, + "grad_norm": 1.439351269523141, + "kl": 0.02801513671875, + "learning_rate": 1.0123456790123457e-07, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1456 + }, + { + "completion_length": 102.078125, + "epoch": 1.797038864898211, + "grad_norm": 0.1087741072023605, + "kl": 0.02410888671875, + "learning_rate": 1.0061728395061728e-07, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1457 + }, + { + "completion_length": 103.953125, + "epoch": 1.798272671190623, + "grad_norm": 0.0888885831392508, + "kl": 0.0330810546875, + "learning_rate": 1e-07, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1458 + }, + { + "completion_length": 103.515625, + "epoch": 1.7995064774830352, + "grad_norm": 0.08772865558333628, + "kl": 0.0322265625, + "learning_rate": 9.938271604938271e-08, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1459 + }, + { + "completion_length": 105.546875, + "epoch": 1.8007402837754474, + "grad_norm": 1.0035622923538206, + "kl": 0.03802490234375, + "learning_rate": 9.876543209876542e-08, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1460 + }, + { + "completion_length": 102.125, + "epoch": 1.8019740900678594, + "grad_norm": 1.290297611965121, + "kl": 0.029296875, + "learning_rate": 9.814814814814815e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1461 + }, + { + "completion_length": 100.71875, + "epoch": 1.8032078963602713, + "grad_norm": 0.11614570259797767, + "kl": 0.02716064453125, + "learning_rate": 9.753086419753086e-08, + "loss": 0.0011, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1462 + }, + { + "completion_length": 105.296875, + "epoch": 1.8044417026526836, + "grad_norm": 0.0919882637166639, + "kl": 0.03753662109375, + "learning_rate": 9.691358024691359e-08, + "loss": 0.0015, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1463 + }, + { + "completion_length": 121.21875, + "epoch": 1.8056755089450958, + "grad_norm": 1.2590730462845354, + "kl": 0.0406494140625, + "learning_rate": 9.629629629629629e-08, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1464 + }, + { + "completion_length": 101.609375, + "epoch": 1.8069093152375078, + "grad_norm": 0.8086223238867796, + "kl": 0.02471923828125, + "learning_rate": 9.5679012345679e-08, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1465 + }, + { + "completion_length": 97.4375, + "epoch": 1.8081431215299197, + "grad_norm": 1.2419078357193327, + "kl": 0.0281982421875, + "learning_rate": 9.506172839506173e-08, + "loss": 0.0011, + "reward": 1.421875, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.921875, + "rewards/format_reward": 0.5, + "step": 1466 + }, + { + "completion_length": 103.140625, + "epoch": 1.809376927822332, + "grad_norm": 1.4138764353234488, + "kl": 0.02862548828125, + "learning_rate": 9.444444444444444e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1467 + }, + { + "completion_length": 109.34375, + "epoch": 1.810610734114744, + "grad_norm": 0.7199981567000184, + "kl": 0.03155517578125, + "learning_rate": 9.382716049382716e-08, + "loss": 0.0013, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 1468 + }, + { + "completion_length": 105.25, + "epoch": 1.8118445404071561, + "grad_norm": 0.5577739282338268, + "kl": 0.0390625, + "learning_rate": 9.320987654320988e-08, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1469 + }, + { + "completion_length": 107.90625, + "epoch": 1.8130783466995681, + "grad_norm": 0.10161189752262186, + "kl": 0.02825927734375, + "learning_rate": 9.259259259259258e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1470 + }, + { + "completion_length": 100.671875, + "epoch": 1.8143121529919801, + "grad_norm": 2.7572043573606617, + "kl": 0.13714599609375, + "learning_rate": 9.19753086419753e-08, + "loss": 0.0055, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1471 + }, + { + "completion_length": 100.4375, + "epoch": 1.8155459592843923, + "grad_norm": 1.0517763893437557, + "kl": 0.0452880859375, + "learning_rate": 9.135802469135802e-08, + "loss": 0.0018, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1472 + }, + { + "completion_length": 110.6875, + "epoch": 1.8167797655768045, + "grad_norm": 1.228446898317568, + "kl": 0.0435791015625, + "learning_rate": 9.074074074074074e-08, + "loss": 0.0017, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1473 + }, + { + "completion_length": 107.296875, + "epoch": 1.8180135718692165, + "grad_norm": 0.12929221616809133, + "kl": 0.03094482421875, + "learning_rate": 9.012345679012346e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1474 + }, + { + "completion_length": 108.25, + "epoch": 1.8192473781616285, + "grad_norm": 0.0760172445962584, + "kl": 0.038330078125, + "learning_rate": 8.950617283950617e-08, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1475 + }, + { + "completion_length": 117.390625, + "epoch": 1.8204811844540407, + "grad_norm": 1.0678430850768361, + "kl": 0.02679443359375, + "learning_rate": 8.888888888888888e-08, + "loss": 0.0011, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1476 + }, + { + "completion_length": 120.421875, + "epoch": 1.821714990746453, + "grad_norm": 1.8232953744583396, + "kl": 0.0360107421875, + "learning_rate": 8.82716049382716e-08, + "loss": 0.0014, + "reward": 1.453125, + "reward_std": 0.06733439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1477 + }, + { + "completion_length": 112.578125, + "epoch": 1.822948797038865, + "grad_norm": 0.8175266721179847, + "kl": 0.0367431640625, + "learning_rate": 8.765432098765432e-08, + "loss": 0.0015, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1478 + }, + { + "completion_length": 112.25, + "epoch": 1.824182603331277, + "grad_norm": 1.480227722271958, + "kl": 0.0457763671875, + "learning_rate": 8.703703703703703e-08, + "loss": 0.0018, + "reward": 1.4453125, + "reward_std": 0.109375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4765625, + "step": 1479 + }, + { + "completion_length": 103.34375, + "epoch": 1.8254164096236891, + "grad_norm": 1.9271207010850309, + "kl": 0.0225830078125, + "learning_rate": 8.641975308641975e-08, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1480 + }, + { + "completion_length": 135.78125, + "epoch": 1.8266502159161013, + "grad_norm": 0.089121751228031, + "kl": 0.0343017578125, + "learning_rate": 8.580246913580247e-08, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1481 + }, + { + "completion_length": 114.703125, + "epoch": 1.8278840222085133, + "grad_norm": 1.3344684859850182, + "kl": 0.0374755859375, + "learning_rate": 8.518518518518517e-08, + "loss": 0.0015, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1482 + }, + { + "completion_length": 106.609375, + "epoch": 1.8291178285009253, + "grad_norm": 0.12402754891836776, + "kl": 0.03106689453125, + "learning_rate": 8.45679012345679e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1483 + }, + { + "completion_length": 111.03125, + "epoch": 1.8303516347933373, + "grad_norm": 0.08620570417930405, + "kl": 0.02337646484375, + "learning_rate": 8.395061728395061e-08, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1484 + }, + { + "completion_length": 116.96875, + "epoch": 1.8315854410857495, + "grad_norm": 0.10406738548664295, + "kl": 0.038818359375, + "learning_rate": 8.333333333333333e-08, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1485 + }, + { + "completion_length": 127.40625, + "epoch": 1.8328192473781617, + "grad_norm": 1.1102408018193068, + "kl": 0.03814697265625, + "learning_rate": 8.271604938271605e-08, + "loss": 0.0015, + "reward": 1.4375, + "reward_std": 0.054947055876255035, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 1486 + }, + { + "completion_length": 117.875, + "epoch": 1.8340530536705737, + "grad_norm": 0.19849817008496348, + "kl": 0.03240966796875, + "learning_rate": 8.209876543209876e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1487 + }, + { + "completion_length": 101.40625, + "epoch": 1.8352868599629857, + "grad_norm": 0.0873812445304162, + "kl": 0.0390625, + "learning_rate": 8.148148148148149e-08, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1488 + }, + { + "completion_length": 111.375, + "epoch": 1.836520666255398, + "grad_norm": 0.11733695828515378, + "kl": 0.0426025390625, + "learning_rate": 8.086419753086419e-08, + "loss": 0.0017, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1489 + }, + { + "completion_length": 104.359375, + "epoch": 1.83775447254781, + "grad_norm": 1.6290346872211279, + "kl": 0.036865234375, + "learning_rate": 8.02469135802469e-08, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1490 + }, + { + "completion_length": 116.125, + "epoch": 1.838988278840222, + "grad_norm": 0.06943405497536732, + "kl": 0.02685546875, + "learning_rate": 7.962962962962963e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1491 + }, + { + "completion_length": 110.265625, + "epoch": 1.840222085132634, + "grad_norm": 0.5278739293388354, + "kl": 0.029052734375, + "learning_rate": 7.901234567901234e-08, + "loss": 0.0012, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 1492 + }, + { + "completion_length": 134.703125, + "epoch": 1.8414558914250463, + "grad_norm": 0.5648390792747228, + "kl": 0.03338623046875, + "learning_rate": 7.839506172839507e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1493 + }, + { + "completion_length": 104.4375, + "epoch": 1.8426896977174585, + "grad_norm": 0.06920714498274136, + "kl": 0.02728271484375, + "learning_rate": 7.777777777777778e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1494 + }, + { + "completion_length": 99.609375, + "epoch": 1.8439235040098705, + "grad_norm": 0.08017112199286172, + "kl": 0.02569580078125, + "learning_rate": 7.716049382716048e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1495 + }, + { + "completion_length": 100.0, + "epoch": 1.8451573103022825, + "grad_norm": 0.0863896263466273, + "kl": 0.041748046875, + "learning_rate": 7.654320987654321e-08, + "loss": 0.0017, + "reward": 1.4296875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1496 + }, + { + "completion_length": 112.046875, + "epoch": 1.8463911165946947, + "grad_norm": 0.8761849662692341, + "kl": 0.03363037109375, + "learning_rate": 7.592592592592592e-08, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1497 + }, + { + "completion_length": 126.046875, + "epoch": 1.8476249228871067, + "grad_norm": 0.44984459100180674, + "kl": 0.0479736328125, + "learning_rate": 7.530864197530865e-08, + "loss": 0.0019, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1498 + }, + { + "completion_length": 94.8125, + "epoch": 1.8488587291795189, + "grad_norm": 0.07413960942141112, + "kl": 0.03228759765625, + "learning_rate": 7.469135802469136e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1499 + }, + { + "completion_length": 107.375, + "epoch": 1.8500925354719309, + "grad_norm": 0.06997156112775892, + "kl": 0.026519775390625, + "learning_rate": 7.407407407407407e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1500 + }, + { + "completion_length": 113.484375, + "epoch": 1.8513263417643429, + "grad_norm": 0.06321413501928969, + "kl": 0.03363037109375, + "learning_rate": 7.345679012345679e-08, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1501 + }, + { + "completion_length": 94.46875, + "epoch": 1.852560148056755, + "grad_norm": 1.0353787207650502, + "kl": 0.03192138671875, + "learning_rate": 7.28395061728395e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1502 + }, + { + "completion_length": 110.46875, + "epoch": 1.8537939543491673, + "grad_norm": 0.07518857570656233, + "kl": 0.0333251953125, + "learning_rate": 7.222222222222221e-08, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1503 + }, + { + "completion_length": 128.796875, + "epoch": 1.8550277606415793, + "grad_norm": 1.0184422177367758, + "kl": 0.02764892578125, + "learning_rate": 7.160493827160494e-08, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1504 + }, + { + "completion_length": 106.6875, + "epoch": 1.8562615669339912, + "grad_norm": 0.23899964690896286, + "kl": 0.03399658203125, + "learning_rate": 7.098765432098765e-08, + "loss": 0.0014, + "reward": 1.375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.5, + "step": 1505 + }, + { + "completion_length": 96.140625, + "epoch": 1.8574953732264035, + "grad_norm": 0.5232506159241161, + "kl": 0.0279541015625, + "learning_rate": 7.037037037037038e-08, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1506 + }, + { + "completion_length": 116.46875, + "epoch": 1.8587291795188157, + "grad_norm": 0.38233546101288873, + "kl": 0.0452880859375, + "learning_rate": 6.975308641975308e-08, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1507 + }, + { + "completion_length": 104.015625, + "epoch": 1.8599629858112277, + "grad_norm": 0.09080650950169374, + "kl": 0.02764892578125, + "learning_rate": 6.913580246913579e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1508 + }, + { + "completion_length": 107.9375, + "epoch": 1.8611967921036396, + "grad_norm": 0.06986722014980738, + "kl": 0.03387451171875, + "learning_rate": 6.851851851851852e-08, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1509 + }, + { + "completion_length": 110.671875, + "epoch": 1.8624305983960519, + "grad_norm": 0.22235441473813272, + "kl": 0.0325927734375, + "learning_rate": 6.790123456790123e-08, + "loss": 0.0013, + "reward": 1.4375, + "reward_std": 0.09858439117670059, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.484375, + "step": 1510 + }, + { + "completion_length": 107.328125, + "epoch": 1.863664404688464, + "grad_norm": 1.5554064887031789, + "kl": 0.03350830078125, + "learning_rate": 6.728395061728396e-08, + "loss": 0.0013, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1511 + }, + { + "completion_length": 109.28125, + "epoch": 1.864898210980876, + "grad_norm": 0.14192560358743375, + "kl": 0.02783203125, + "learning_rate": 6.666666666666667e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1512 + }, + { + "completion_length": 113.59375, + "epoch": 1.866132017273288, + "grad_norm": 0.09772866452726435, + "kl": 0.0279541015625, + "learning_rate": 6.604938271604937e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1513 + }, + { + "completion_length": 118.875, + "epoch": 1.8673658235657, + "grad_norm": 0.7769974252641373, + "kl": 0.0394287109375, + "learning_rate": 6.54320987654321e-08, + "loss": 0.0016, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1514 + }, + { + "completion_length": 106.59375, + "epoch": 1.8685996298581122, + "grad_norm": 0.7031264242063179, + "kl": 0.03271484375, + "learning_rate": 6.481481481481481e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1515 + }, + { + "completion_length": 109.625, + "epoch": 1.8698334361505244, + "grad_norm": 0.813138522470212, + "kl": 0.03216552734375, + "learning_rate": 6.419753086419753e-08, + "loss": 0.0013, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1516 + }, + { + "completion_length": 95.765625, + "epoch": 1.8710672424429364, + "grad_norm": 0.07402874597511029, + "kl": 0.02191162109375, + "learning_rate": 6.358024691358025e-08, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1517 + }, + { + "completion_length": 109.59375, + "epoch": 1.8723010487353484, + "grad_norm": 1.3877468849968293, + "kl": 0.0340576171875, + "learning_rate": 6.296296296296296e-08, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1518 + }, + { + "completion_length": 105.21875, + "epoch": 1.8735348550277606, + "grad_norm": 0.27773451234480734, + "kl": 0.02471923828125, + "learning_rate": 6.234567901234567e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1519 + }, + { + "completion_length": 110.640625, + "epoch": 1.8747686613201728, + "grad_norm": 0.37079224461538035, + "kl": 0.0465087890625, + "learning_rate": 6.172839506172839e-08, + "loss": 0.0019, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1520 + }, + { + "completion_length": 107.453125, + "epoch": 1.8760024676125848, + "grad_norm": 0.15993014805122205, + "kl": 0.0330810546875, + "learning_rate": 6.111111111111111e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1521 + }, + { + "completion_length": 103.609375, + "epoch": 1.8772362739049968, + "grad_norm": 0.5302963979603263, + "kl": 0.0360107421875, + "learning_rate": 6.049382716049382e-08, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1522 + }, + { + "completion_length": 102.34375, + "epoch": 1.878470080197409, + "grad_norm": 0.08443035196163437, + "kl": 0.02703857421875, + "learning_rate": 5.987654320987654e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1523 + }, + { + "completion_length": 103.453125, + "epoch": 1.8797038864898212, + "grad_norm": 0.08433401805889458, + "kl": 0.04541015625, + "learning_rate": 5.925925925925926e-08, + "loss": 0.0018, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1524 + }, + { + "completion_length": 110.4375, + "epoch": 1.8809376927822332, + "grad_norm": 0.07630665696034845, + "kl": 0.0382080078125, + "learning_rate": 5.864197530864197e-08, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1525 + }, + { + "completion_length": 97.28125, + "epoch": 1.8821714990746452, + "grad_norm": 0.07965085946544273, + "kl": 0.02813720703125, + "learning_rate": 5.802469135802469e-08, + "loss": 0.0011, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1526 + }, + { + "completion_length": 101.8125, + "epoch": 1.8834053053670574, + "grad_norm": 1.0735188735139691, + "kl": 0.050048828125, + "learning_rate": 5.74074074074074e-08, + "loss": 0.002, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 1527 + }, + { + "completion_length": 109.890625, + "epoch": 1.8846391116594696, + "grad_norm": 1.0898411689408898, + "kl": 0.0343017578125, + "learning_rate": 5.679012345679012e-08, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1528 + }, + { + "completion_length": 115.359375, + "epoch": 1.8858729179518816, + "grad_norm": 5.335826192788834, + "kl": 0.0299072265625, + "learning_rate": 5.617283950617284e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1529 + }, + { + "completion_length": 111.5, + "epoch": 1.8871067242442936, + "grad_norm": 0.7660880812465032, + "kl": 0.0296630859375, + "learning_rate": 5.555555555555555e-08, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1530 + }, + { + "completion_length": 107.96875, + "epoch": 1.8883405305367056, + "grad_norm": 0.5930742935267542, + "kl": 0.037353515625, + "learning_rate": 5.493827160493827e-08, + "loss": 0.0015, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1531 + }, + { + "completion_length": 119.234375, + "epoch": 1.8895743368291178, + "grad_norm": 0.07760939187239935, + "kl": 0.03662109375, + "learning_rate": 5.432098765432099e-08, + "loss": 0.0015, + "reward": 1.3671875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 0.875, + "rewards/format_reward": 0.4921875, + "step": 1532 + }, + { + "completion_length": 109.3125, + "epoch": 1.89080814312153, + "grad_norm": 1.2055554547863399, + "kl": 0.040771484375, + "learning_rate": 5.37037037037037e-08, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1533 + }, + { + "completion_length": 113.96875, + "epoch": 1.892041949413942, + "grad_norm": 0.07392159953898061, + "kl": 0.0333251953125, + "learning_rate": 5.308641975308642e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1534 + }, + { + "completion_length": 117.734375, + "epoch": 1.893275755706354, + "grad_norm": 0.5453669808875328, + "kl": 0.0458984375, + "learning_rate": 5.246913580246913e-08, + "loss": 0.0018, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1535 + }, + { + "completion_length": 99.59375, + "epoch": 1.8945095619987662, + "grad_norm": 1.3729480333070874, + "kl": 0.0550537109375, + "learning_rate": 5.1851851851851846e-08, + "loss": 0.0022, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1536 + }, + { + "completion_length": 128.1875, + "epoch": 1.8957433682911784, + "grad_norm": 1.8129899568287042, + "kl": 0.02459716796875, + "learning_rate": 5.1234567901234565e-08, + "loss": 0.001, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1537 + }, + { + "completion_length": 114.78125, + "epoch": 1.8969771745835904, + "grad_norm": 0.9676181025853853, + "kl": 0.032958984375, + "learning_rate": 5.0617283950617285e-08, + "loss": 0.0013, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1538 + }, + { + "completion_length": 114.203125, + "epoch": 1.8982109808760024, + "grad_norm": 0.840839786713402, + "kl": 0.0394287109375, + "learning_rate": 5e-08, + "loss": 0.0016, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1539 + }, + { + "completion_length": 100.03125, + "epoch": 1.8994447871684146, + "grad_norm": 0.6249586034251801, + "kl": 0.02752685546875, + "learning_rate": 4.938271604938271e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1540 + }, + { + "completion_length": 98.703125, + "epoch": 1.9006785934608268, + "grad_norm": 0.2425196166392442, + "kl": 0.02056884765625, + "learning_rate": 4.876543209876543e-08, + "loss": 0.0008, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1541 + }, + { + "completion_length": 113.09375, + "epoch": 1.9019123997532388, + "grad_norm": 1.225585197938373, + "kl": 0.04296875, + "learning_rate": 4.814814814814814e-08, + "loss": 0.0017, + "reward": 1.4453125, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.4921875, + "step": 1542 + }, + { + "completion_length": 125.65625, + "epoch": 1.9031462060456508, + "grad_norm": 0.9881025913861221, + "kl": 0.06243896484375, + "learning_rate": 4.753086419753086e-08, + "loss": 0.0025, + "reward": 1.4609375, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1543 + }, + { + "completion_length": 107.59375, + "epoch": 1.904380012338063, + "grad_norm": 0.8189854611531634, + "kl": 0.02642822265625, + "learning_rate": 4.691358024691358e-08, + "loss": 0.0011, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1544 + }, + { + "completion_length": 110.140625, + "epoch": 1.905613818630475, + "grad_norm": 1.0138657804656714, + "kl": 0.029296875, + "learning_rate": 4.629629629629629e-08, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1545 + }, + { + "completion_length": 104.90625, + "epoch": 1.9068476249228872, + "grad_norm": 0.6631162679302071, + "kl": 0.03289794921875, + "learning_rate": 4.567901234567901e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1546 + }, + { + "completion_length": 98.0625, + "epoch": 1.9080814312152992, + "grad_norm": 0.11466563963958486, + "kl": 0.03118896484375, + "learning_rate": 4.506172839506173e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1547 + }, + { + "completion_length": 108.75, + "epoch": 1.9093152375077111, + "grad_norm": 1.958996951830767, + "kl": 0.0328369140625, + "learning_rate": 4.444444444444444e-08, + "loss": 0.0013, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1548 + }, + { + "completion_length": 103.4375, + "epoch": 1.9105490438001234, + "grad_norm": 0.8108726794020745, + "kl": 0.0352783203125, + "learning_rate": 4.382716049382716e-08, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1549 + }, + { + "completion_length": 111.671875, + "epoch": 1.9117828500925356, + "grad_norm": 0.11120018552022021, + "kl": 0.02447509765625, + "learning_rate": 4.3209876543209874e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1550 + }, + { + "completion_length": 94.390625, + "epoch": 1.9130166563849476, + "grad_norm": 0.1603513121243202, + "kl": 0.030303955078125, + "learning_rate": 4.2592592592592586e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1551 + }, + { + "completion_length": 98.765625, + "epoch": 1.9142504626773595, + "grad_norm": 0.5544481255194879, + "kl": 0.03460693359375, + "learning_rate": 4.1975308641975306e-08, + "loss": 0.0014, + "reward": 1.46875, + "reward_std": 0.03608439117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.5, + "step": 1552 + }, + { + "completion_length": 96.328125, + "epoch": 1.9154842689697718, + "grad_norm": 0.6238550215426218, + "kl": 0.031982421875, + "learning_rate": 4.1358024691358026e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1553 + }, + { + "completion_length": 101.6875, + "epoch": 1.916718075262184, + "grad_norm": 0.128616931583501, + "kl": 0.03082275390625, + "learning_rate": 4.0740740740740745e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1554 + }, + { + "completion_length": 111.171875, + "epoch": 1.917951881554596, + "grad_norm": 1.8073527283010264, + "kl": 0.02178955078125, + "learning_rate": 4.012345679012345e-08, + "loss": 0.0009, + "reward": 1.453125, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.953125, + "rewards/format_reward": 0.5, + "step": 1555 + }, + { + "completion_length": 109.5625, + "epoch": 1.919185687847008, + "grad_norm": 0.06549389116040379, + "kl": 0.028076171875, + "learning_rate": 3.950617283950617e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1556 + }, + { + "completion_length": 112.1875, + "epoch": 1.9204194941394201, + "grad_norm": 0.15835902737275429, + "kl": 0.04248046875, + "learning_rate": 3.888888888888889e-08, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1557 + }, + { + "completion_length": 108.234375, + "epoch": 1.9216533004318324, + "grad_norm": 2.246218714293168, + "kl": 0.03033447265625, + "learning_rate": 3.8271604938271604e-08, + "loss": 0.0012, + "reward": 1.453125, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.484375, + "step": 1558 + }, + { + "completion_length": 111.140625, + "epoch": 1.9228871067242443, + "grad_norm": 0.07508634979584024, + "kl": 0.0289306640625, + "learning_rate": 3.7654320987654323e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1559 + }, + { + "completion_length": 108.796875, + "epoch": 1.9241209130166563, + "grad_norm": 0.7429692427029095, + "kl": 0.0340576171875, + "learning_rate": 3.7037037037037036e-08, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1560 + }, + { + "completion_length": 110.4375, + "epoch": 1.9253547193090683, + "grad_norm": 0.822897761315987, + "kl": 0.0306396484375, + "learning_rate": 3.641975308641975e-08, + "loss": 0.0012, + "reward": 1.390625, + "reward_std": 0.09375, + "rewards/accuracy_reward": 0.90625, + "rewards/format_reward": 0.484375, + "step": 1561 + }, + { + "completion_length": 105.4375, + "epoch": 1.9265885256014805, + "grad_norm": 0.6264518973355899, + "kl": 0.02587890625, + "learning_rate": 3.580246913580247e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1562 + }, + { + "completion_length": 110.09375, + "epoch": 1.9278223318938927, + "grad_norm": 2.9341446901499597, + "kl": 0.11798095703125, + "learning_rate": 3.518518518518519e-08, + "loss": 0.0047, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1563 + }, + { + "completion_length": 99.375, + "epoch": 1.9290561381863047, + "grad_norm": 0.11536286097817218, + "kl": 0.0367431640625, + "learning_rate": 3.4567901234567895e-08, + "loss": 0.0015, + "reward": 1.4609375, + "reward_std": 0.05170939117670059, + "rewards/accuracy_reward": 0.96875, + "rewards/format_reward": 0.4921875, + "step": 1564 + }, + { + "completion_length": 100.84375, + "epoch": 1.9302899444787167, + "grad_norm": 1.0812536477100445, + "kl": 0.02618408203125, + "learning_rate": 3.3950617283950614e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1565 + }, + { + "completion_length": 109.359375, + "epoch": 1.931523750771129, + "grad_norm": 0.11766896455790413, + "kl": 0.0345458984375, + "learning_rate": 3.3333333333333334e-08, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1566 + }, + { + "completion_length": 100.015625, + "epoch": 1.9327575570635411, + "grad_norm": 0.06706693418746923, + "kl": 0.04833984375, + "learning_rate": 3.271604938271605e-08, + "loss": 0.0019, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1567 + }, + { + "completion_length": 119.296875, + "epoch": 1.9339913633559531, + "grad_norm": 0.9031902482321832, + "kl": 0.02923583984375, + "learning_rate": 3.2098765432098767e-08, + "loss": 0.0012, + "reward": 1.4296875, + "reward_std": 0.11420939117670059, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.4921875, + "step": 1568 + }, + { + "completion_length": 110.703125, + "epoch": 1.935225169648365, + "grad_norm": 6.428243766307643, + "kl": 0.02972412109375, + "learning_rate": 3.148148148148148e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1569 + }, + { + "completion_length": 103.140625, + "epoch": 1.9364589759407773, + "grad_norm": 0.06885323332093031, + "kl": 0.04266357421875, + "learning_rate": 3.086419753086419e-08, + "loss": 0.0017, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1570 + }, + { + "completion_length": 119.171875, + "epoch": 1.9376927822331895, + "grad_norm": 1.1182676615762377, + "kl": 0.02447509765625, + "learning_rate": 3.024691358024691e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1571 + }, + { + "completion_length": 114.453125, + "epoch": 1.9389265885256015, + "grad_norm": 2.751621604513145, + "kl": 0.02447509765625, + "learning_rate": 2.962962962962963e-08, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1572 + }, + { + "completion_length": 103.09375, + "epoch": 1.9401603948180135, + "grad_norm": 0.6447113083117788, + "kl": 0.02703857421875, + "learning_rate": 2.9012345679012345e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1573 + }, + { + "completion_length": 107.71875, + "epoch": 1.9413942011104257, + "grad_norm": 0.17807619905038818, + "kl": 0.0230712890625, + "learning_rate": 2.839506172839506e-08, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1574 + }, + { + "completion_length": 102.078125, + "epoch": 1.942628007402838, + "grad_norm": 0.5865308747807157, + "kl": 0.0338134765625, + "learning_rate": 2.7777777777777774e-08, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.484375, + "step": 1575 + }, + { + "completion_length": 128.71875, + "epoch": 1.94386181369525, + "grad_norm": 1.2228529651471107, + "kl": 0.0341796875, + "learning_rate": 2.7160493827160494e-08, + "loss": 0.0014, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1576 + }, + { + "completion_length": 110.640625, + "epoch": 1.945095619987662, + "grad_norm": 0.08140107554273039, + "kl": 0.0338134765625, + "learning_rate": 2.654320987654321e-08, + "loss": 0.0014, + "reward": 1.484375, + "reward_std": 0.03125, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.5, + "step": 1577 + }, + { + "completion_length": 105.015625, + "epoch": 1.9463294262800739, + "grad_norm": 1.8332257276063542, + "kl": 0.02630615234375, + "learning_rate": 2.5925925925925923e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1578 + }, + { + "completion_length": 103.796875, + "epoch": 1.947563232572486, + "grad_norm": 0.1712556875571474, + "kl": 0.032958984375, + "learning_rate": 2.5308641975308642e-08, + "loss": 0.0013, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1579 + }, + { + "completion_length": 112.296875, + "epoch": 1.9487970388648983, + "grad_norm": 0.11484767643310739, + "kl": 0.0245361328125, + "learning_rate": 2.4691358024691355e-08, + "loss": 0.001, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1580 + }, + { + "completion_length": 117.640625, + "epoch": 1.9500308451573103, + "grad_norm": 0.769066318483228, + "kl": 0.0384521484375, + "learning_rate": 2.407407407407407e-08, + "loss": 0.0015, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1581 + }, + { + "completion_length": 109.5, + "epoch": 1.9512646514497223, + "grad_norm": 0.16040771074656668, + "kl": 0.02386474609375, + "learning_rate": 2.345679012345679e-08, + "loss": 0.001, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1582 + }, + { + "completion_length": 97.828125, + "epoch": 1.9524984577421345, + "grad_norm": 0.06569214558947066, + "kl": 0.0230712890625, + "learning_rate": 2.2839506172839504e-08, + "loss": 0.0009, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1583 + }, + { + "completion_length": 105.53125, + "epoch": 1.9537322640345467, + "grad_norm": 8.565199051740919, + "kl": 0.02947998046875, + "learning_rate": 2.222222222222222e-08, + "loss": 0.0012, + "reward": 1.46875, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.484375, + "step": 1584 + }, + { + "completion_length": 95.75, + "epoch": 1.9549660703269587, + "grad_norm": 2.8567014768036887, + "kl": 0.0299072265625, + "learning_rate": 2.1604938271604937e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1585 + }, + { + "completion_length": 97.796875, + "epoch": 1.9561998766193707, + "grad_norm": 0.10877731274957776, + "kl": 0.027099609375, + "learning_rate": 2.0987654320987653e-08, + "loss": 0.0011, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1586 + }, + { + "completion_length": 99.484375, + "epoch": 1.9574336829117829, + "grad_norm": 0.17733241504667122, + "kl": 0.0343017578125, + "learning_rate": 2.0370370370370373e-08, + "loss": 0.0014, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1587 + }, + { + "completion_length": 117.265625, + "epoch": 1.958667489204195, + "grad_norm": 5.466646774023603, + "kl": 0.02349853515625, + "learning_rate": 1.9753086419753086e-08, + "loss": 0.0009, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1588 + }, + { + "completion_length": 105.8125, + "epoch": 1.959901295496607, + "grad_norm": 0.09555044884999613, + "kl": 0.01708984375, + "learning_rate": 1.9135802469135802e-08, + "loss": 0.0007, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1589 + }, + { + "completion_length": 98.15625, + "epoch": 1.961135101789019, + "grad_norm": 0.08904730611015502, + "kl": 0.0340576171875, + "learning_rate": 1.8518518518518518e-08, + "loss": 0.0014, + "reward": 1.4375, + "reward_std": 0.0, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1590 + }, + { + "completion_length": 107.328125, + "epoch": 1.962368908081431, + "grad_norm": 1.5549360962073595, + "kl": 0.02105712890625, + "learning_rate": 1.7901234567901234e-08, + "loss": 0.0008, + "reward": 1.4375, + "reward_std": 0.0625, + "rewards/accuracy_reward": 0.9375, + "rewards/format_reward": 0.5, + "step": 1591 + }, + { + "completion_length": 108.3125, + "epoch": 1.9636027143738433, + "grad_norm": 1.3524256850445908, + "kl": 0.0289306640625, + "learning_rate": 1.7283950617283947e-08, + "loss": 0.0012, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4765625, + "step": 1592 + }, + { + "completion_length": 114.140625, + "epoch": 1.9648365206662555, + "grad_norm": 1.0420234323538728, + "kl": 0.02972412109375, + "learning_rate": 1.6666666666666667e-08, + "loss": 0.0012, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1593 + }, + { + "completion_length": 101.46875, + "epoch": 1.9660703269586675, + "grad_norm": 0.09556806498839375, + "kl": 0.05792236328125, + "learning_rate": 1.6049382716049383e-08, + "loss": 0.0023, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1594 + }, + { + "completion_length": 103.15625, + "epoch": 1.9673041332510794, + "grad_norm": 1.0687695161919974, + "kl": 0.0302734375, + "learning_rate": 1.5432098765432096e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1595 + }, + { + "completion_length": 110.765625, + "epoch": 1.9685379395434917, + "grad_norm": 7.503802755124931, + "kl": 0.02728271484375, + "learning_rate": 1.4814814814814814e-08, + "loss": 0.0011, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1596 + }, + { + "completion_length": 99.90625, + "epoch": 1.9697717458359039, + "grad_norm": 1.5608631449110812, + "kl": 0.03033447265625, + "learning_rate": 1.419753086419753e-08, + "loss": 0.0012, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1597 + }, + { + "completion_length": 94.828125, + "epoch": 1.9710055521283159, + "grad_norm": 0.9159072280029892, + "kl": 0.03955078125, + "learning_rate": 1.3580246913580247e-08, + "loss": 0.0016, + "reward": 1.5, + "reward_std": 0.0, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.5, + "step": 1598 + }, + { + "completion_length": 119.359375, + "epoch": 1.9722393584207278, + "grad_norm": 0.6335810235067453, + "kl": 0.03594970703125, + "learning_rate": 1.2962962962962961e-08, + "loss": 0.0014, + "reward": 1.4765625, + "reward_std": 0.046875, + "rewards/accuracy_reward": 0.984375, + "rewards/format_reward": 0.4921875, + "step": 1599 + }, + { + "completion_length": 96.734375, + "epoch": 1.97347316471314, + "grad_norm": 0.0884151499589747, + "kl": 0.03363037109375, + "learning_rate": 1.2345679012345678e-08, + "loss": 0.0013, + "reward": 1.4921875, + "reward_std": 0.015625, + "rewards/accuracy_reward": 1.0, + "rewards/format_reward": 0.4921875, + "step": 1600 + } + ], + "logging_steps": 1.0, + "max_steps": 1620, + "num_input_tokens_seen": 0, + "num_train_epochs": 2, + "save_steps": 100, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 0.0, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}