{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.23143277929728592,
  "eval_steps": 10,
  "global_step": 550,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.004207868714496108,
      "grad_norm": 2.3023250102996826,
      "learning_rate": 0.0002945454545454545,
      "loss": 0.6742,
      "step": 10
    },
    {
      "epoch": 0.004207868714496108,
      "eval_accuracy": 0.8339995741844177,
      "eval_loss": 0.5872370004653931,
      "eval_runtime": 559.2325,
      "eval_samples_per_second": 8.499,
      "eval_steps_per_second": 2.126,
      "step": 10
    },
    {
      "epoch": 0.008415737428992216,
      "grad_norm": 10.144115447998047,
      "learning_rate": 0.00028909090909090904,
      "loss": 0.7741,
      "step": 20
    },
    {
      "epoch": 0.008415737428992216,
      "eval_accuracy": 0.5914159417152405,
      "eval_loss": 1.0286434888839722,
      "eval_runtime": 548.7332,
      "eval_samples_per_second": 8.662,
      "eval_steps_per_second": 2.167,
      "step": 20
    },
    {
      "epoch": 0.012623606143488323,
      "grad_norm": 4.225183486938477,
      "learning_rate": 0.0002836363636363636,
      "loss": 0.8739,
      "step": 30
    },
    {
      "epoch": 0.012623606143488323,
      "eval_accuracy": 0.5914159417152405,
      "eval_loss": 0.6784296631813049,
      "eval_runtime": 552.4092,
      "eval_samples_per_second": 8.604,
      "eval_steps_per_second": 2.152,
      "step": 30
    },
    {
      "epoch": 0.016831474857984433,
      "grad_norm": 2.9214963912963867,
      "learning_rate": 0.00027818181818181815,
      "loss": 0.7206,
      "step": 40
    },
    {
      "epoch": 0.016831474857984433,
      "eval_accuracy": 0.5914159417152405,
      "eval_loss": 0.6782186627388,
      "eval_runtime": 553.9264,
      "eval_samples_per_second": 8.581,
      "eval_steps_per_second": 2.146,
      "step": 40
    },
    {
      "epoch": 0.021039343572480537,
      "grad_norm": 4.568026542663574,
      "learning_rate": 0.0002727272727272727,
      "loss": 0.7165,
      "step": 50
    },
    {
      "epoch": 0.021039343572480537,
      "eval_accuracy": 0.8114874958992004,
      "eval_loss": 0.5903932452201843,
      "eval_runtime": 556.1381,
      "eval_samples_per_second": 8.546,
      "eval_steps_per_second": 2.138,
      "step": 50
    },
    {
      "epoch": 0.025247212286976645,
      "grad_norm": 1.1793783903121948,
      "learning_rate": 0.0002672727272727272,
      "loss": 0.6391,
      "step": 60
    },
    {
      "epoch": 0.025247212286976645,
      "eval_accuracy": 0.5914159417152405,
      "eval_loss": 0.6900256276130676,
      "eval_runtime": 557.0755,
      "eval_samples_per_second": 8.532,
      "eval_steps_per_second": 2.134,
      "step": 60
    },
    {
      "epoch": 0.029455081001472753,
      "grad_norm": 1.104693055152893,
      "learning_rate": 0.0002618181818181818,
      "loss": 0.6694,
      "step": 70
    },
    {
      "epoch": 0.029455081001472753,
      "eval_accuracy": 0.8569324612617493,
      "eval_loss": 0.6000075340270996,
      "eval_runtime": 559.2951,
      "eval_samples_per_second": 8.498,
      "eval_steps_per_second": 2.126,
      "step": 70
    },
    {
      "epoch": 0.033662949715968865,
      "grad_norm": 3.541372537612915,
      "learning_rate": 0.00025636363636363633,
      "loss": 0.5766,
      "step": 80
    },
    {
      "epoch": 0.033662949715968865,
      "eval_accuracy": 0.8055964708328247,
      "eval_loss": 0.5426038503646851,
      "eval_runtime": 555.5844,
      "eval_samples_per_second": 8.555,
      "eval_steps_per_second": 2.14,
      "step": 80
    },
    {
      "epoch": 0.03787081843046497,
      "grad_norm": 3.705471992492676,
      "learning_rate": 0.00025090909090909086,
      "loss": 0.4908,
      "step": 90
    },
    {
      "epoch": 0.03787081843046497,
      "eval_accuracy": 0.8270565867424011,
      "eval_loss": 0.39803212881088257,
      "eval_runtime": 553.6423,
      "eval_samples_per_second": 8.585,
      "eval_steps_per_second": 2.148,
      "step": 90
    },
    {
      "epoch": 0.042078687144961074,
      "grad_norm": 2.6912827491760254,
      "learning_rate": 0.00024545454545454545,
      "loss": 0.5775,
      "step": 100
    },
    {
      "epoch": 0.042078687144961074,
      "eval_accuracy": 0.663791298866272,
      "eval_loss": 0.7920271158218384,
      "eval_runtime": 547.7028,
      "eval_samples_per_second": 8.678,
      "eval_steps_per_second": 2.171,
      "step": 100
    },
    {
      "epoch": 0.046286555859457186,
      "grad_norm": 1.2508213520050049,
      "learning_rate": 0.00023999999999999998,
      "loss": 0.5908,
      "step": 110
    },
    {
      "epoch": 0.046286555859457186,
      "eval_accuracy": 0.861561119556427,
      "eval_loss": 0.3321113884449005,
      "eval_runtime": 548.2222,
      "eval_samples_per_second": 8.67,
      "eval_steps_per_second": 2.169,
      "step": 110
    },
    {
      "epoch": 0.05049442457395329,
      "grad_norm": 3.2217397689819336,
      "learning_rate": 0.00023454545454545454,
      "loss": 0.3658,
      "step": 120
    },
    {
      "epoch": 0.05049442457395329,
      "eval_accuracy": 0.8897538185119629,
      "eval_loss": 0.26357656717300415,
      "eval_runtime": 553.9916,
      "eval_samples_per_second": 8.58,
      "eval_steps_per_second": 2.146,
      "step": 120
    },
    {
      "epoch": 0.0547022932884494,
      "grad_norm": 1.183059811592102,
      "learning_rate": 0.00022909090909090907,
      "loss": 0.4267,
      "step": 130
    },
    {
      "epoch": 0.0547022932884494,
      "eval_accuracy": 0.8424153327941895,
      "eval_loss": 0.27429431676864624,
      "eval_runtime": 552.9034,
      "eval_samples_per_second": 8.596,
      "eval_steps_per_second": 2.15,
      "step": 130
    },
    {
      "epoch": 0.05891016200294551,
      "grad_norm": 3.4732155799865723,
      "learning_rate": 0.00022363636363636363,
      "loss": 0.2191,
      "step": 140
    },
    {
      "epoch": 0.05891016200294551,
      "eval_accuracy": 0.9164738059043884,
      "eval_loss": 0.28884753584861755,
      "eval_runtime": 552.6166,
      "eval_samples_per_second": 8.601,
      "eval_steps_per_second": 2.152,
      "step": 140
    },
    {
      "epoch": 0.06311803071744161,
      "grad_norm": 2.1488490104675293,
      "learning_rate": 0.00021818181818181816,
      "loss": 0.25,
      "step": 150
    },
    {
      "epoch": 0.06311803071744161,
      "eval_accuracy": 0.9124763011932373,
      "eval_loss": 0.36515381932258606,
      "eval_runtime": 551.2736,
      "eval_samples_per_second": 8.622,
      "eval_steps_per_second": 2.157,
      "step": 150
    },
    {
      "epoch": 0.06732589943193773,
      "grad_norm": 2.5727055072784424,
      "learning_rate": 0.00021272727272727272,
      "loss": 0.4994,
      "step": 160
    },
    {
      "epoch": 0.06732589943193773,
      "eval_accuracy": 0.908478856086731,
      "eval_loss": 0.24686028063297272,
      "eval_runtime": 555.0552,
      "eval_samples_per_second": 8.563,
      "eval_steps_per_second": 2.142,
      "step": 160
    },
    {
      "epoch": 0.07153376814643383,
      "grad_norm": 2.7330338954925537,
      "learning_rate": 0.00020727272727272725,
      "loss": 0.274,
      "step": 170
    },
    {
      "epoch": 0.07153376814643383,
      "eval_accuracy": 0.9383547306060791,
      "eval_loss": 0.16697467863559723,
      "eval_runtime": 551.1246,
      "eval_samples_per_second": 8.624,
      "eval_steps_per_second": 2.157,
      "step": 170
    },
    {
      "epoch": 0.07574163686092994,
      "grad_norm": 21.431997299194336,
      "learning_rate": 0.0002018181818181818,
      "loss": 0.2721,
      "step": 180
    },
    {
      "epoch": 0.07574163686092994,
      "eval_accuracy": 0.9185777306556702,
      "eval_loss": 0.2895517349243164,
      "eval_runtime": 550.1769,
      "eval_samples_per_second": 8.639,
      "eval_steps_per_second": 2.161,
      "step": 180
    },
    {
      "epoch": 0.07994950557542604,
      "grad_norm": 6.493747711181641,
      "learning_rate": 0.00019636363636363634,
      "loss": 0.4545,
      "step": 190
    },
    {
      "epoch": 0.07994950557542604,
      "eval_accuracy": 0.9242583513259888,
      "eval_loss": 0.32155150175094604,
      "eval_runtime": 551.3203,
      "eval_samples_per_second": 8.621,
      "eval_steps_per_second": 2.157,
      "step": 190
    },
    {
      "epoch": 0.08415737428992215,
      "grad_norm": 3.465214490890503,
      "learning_rate": 0.0001909090909090909,
      "loss": 0.3221,
      "step": 200
    },
    {
      "epoch": 0.08415737428992215,
      "eval_accuracy": 0.9358299970626831,
      "eval_loss": 0.20135502517223358,
      "eval_runtime": 551.1975,
      "eval_samples_per_second": 8.623,
      "eval_steps_per_second": 2.157,
      "step": 200
    },
    {
      "epoch": 0.08836524300441827,
      "grad_norm": 4.727893352508545,
      "learning_rate": 0.00018545454545454543,
      "loss": 0.2348,
      "step": 210
    },
    {
      "epoch": 0.08836524300441827,
      "eval_accuracy": 0.9309909343719482,
      "eval_loss": 0.2655259370803833,
      "eval_runtime": 546.4467,
      "eval_samples_per_second": 8.698,
      "eval_steps_per_second": 2.176,
      "step": 210
    },
    {
      "epoch": 0.09257311171891437,
      "grad_norm": 2.3263726234436035,
      "learning_rate": 0.00017999999999999998,
      "loss": 0.3247,
      "step": 220
    },
    {
      "epoch": 0.09257311171891437,
      "eval_accuracy": 0.9417210221290588,
      "eval_loss": 0.1690194457769394,
      "eval_runtime": 546.9859,
      "eval_samples_per_second": 8.689,
      "eval_steps_per_second": 2.174,
      "step": 220
    },
    {
      "epoch": 0.09678098043341048,
      "grad_norm": 0.32978275418281555,
      "learning_rate": 0.00017454545454545452,
      "loss": 0.1945,
      "step": 230
    },
    {
      "epoch": 0.09678098043341048,
      "eval_accuracy": 0.897538423538208,
      "eval_loss": 0.23890452086925507,
      "eval_runtime": 556.5512,
      "eval_samples_per_second": 8.54,
      "eval_steps_per_second": 2.136,
      "step": 230
    },
    {
      "epoch": 0.10098884914790658,
      "grad_norm": 0.2658408582210541,
      "learning_rate": 0.00016909090909090907,
      "loss": 0.2405,
      "step": 240
    },
    {
      "epoch": 0.10098884914790658,
      "eval_accuracy": 0.9516094923019409,
      "eval_loss": 0.1562691628932953,
      "eval_runtime": 550.3268,
      "eval_samples_per_second": 8.637,
      "eval_steps_per_second": 2.161,
      "step": 240
    },
    {
      "epoch": 0.1051967178624027,
      "grad_norm": 2.5755348205566406,
      "learning_rate": 0.0001636363636363636,
      "loss": 0.1715,
      "step": 250
    },
    {
      "epoch": 0.1051967178624027,
      "eval_accuracy": 0.9362508058547974,
      "eval_loss": 0.2467575967311859,
      "eval_runtime": 552.8523,
      "eval_samples_per_second": 8.597,
      "eval_steps_per_second": 2.151,
      "step": 250
    },
    {
      "epoch": 0.1094045865768988,
      "grad_norm": 4.770780563354492,
      "learning_rate": 0.00015818181818181816,
      "loss": 0.1866,
      "step": 260
    },
    {
      "epoch": 0.1094045865768988,
      "eval_accuracy": 0.9654954671859741,
      "eval_loss": 0.16653123497962952,
      "eval_runtime": 553.6754,
      "eval_samples_per_second": 8.584,
      "eval_steps_per_second": 2.147,
      "step": 260
    },
    {
      "epoch": 0.11361245529139491,
      "grad_norm": 0.04907585307955742,
      "learning_rate": 0.0001527272727272727,
      "loss": 0.2001,
      "step": 270
    },
    {
      "epoch": 0.11361245529139491,
      "eval_accuracy": 0.9648643136024475,
      "eval_loss": 0.168188214302063,
      "eval_runtime": 558.4706,
      "eval_samples_per_second": 8.511,
      "eval_steps_per_second": 2.129,
      "step": 270
    },
    {
      "epoch": 0.11782032400589101,
      "grad_norm": 0.042652346193790436,
      "learning_rate": 0.00014727272727272725,
      "loss": 0.1359,
      "step": 280
    },
    {
      "epoch": 0.11782032400589101,
      "eval_accuracy": 0.9686513543128967,
      "eval_loss": 0.1295313686132431,
      "eval_runtime": 553.3401,
      "eval_samples_per_second": 8.59,
      "eval_steps_per_second": 2.149,
      "step": 280
    },
    {
      "epoch": 0.12202819272038712,
      "grad_norm": 0.10347462445497513,
      "learning_rate": 0.0001418181818181818,
      "loss": 0.1633,
      "step": 290
    },
    {
      "epoch": 0.12202819272038712,
      "eval_accuracy": 0.969072163105011,
      "eval_loss": 0.12678129971027374,
      "eval_runtime": 553.2115,
      "eval_samples_per_second": 8.592,
      "eval_steps_per_second": 2.149,
      "step": 290
    },
    {
      "epoch": 0.12623606143488322,
      "grad_norm": 0.07808654755353928,
      "learning_rate": 0.00013636363636363634,
      "loss": 0.0169,
      "step": 300
    },
    {
      "epoch": 0.12623606143488322,
      "eval_accuracy": 0.9709656834602356,
      "eval_loss": 0.1480005532503128,
      "eval_runtime": 556.5578,
      "eval_samples_per_second": 8.54,
      "eval_steps_per_second": 2.136,
      "step": 300
    },
    {
      "epoch": 0.13044393014937933,
      "grad_norm": 5.326434135437012,
      "learning_rate": 0.0001309090909090909,
      "loss": 0.2247,
      "step": 310
    },
    {
      "epoch": 0.13044393014937933,
      "eval_accuracy": 0.9625499844551086,
      "eval_loss": 0.1905258446931839,
      "eval_runtime": 561.2973,
      "eval_samples_per_second": 8.468,
      "eval_steps_per_second": 2.118,
      "step": 310
    },
    {
      "epoch": 0.13465179886387546,
      "grad_norm": 0.11235077679157257,
      "learning_rate": 0.00012545454545454543,
      "loss": 0.0609,
      "step": 320
    },
    {
      "epoch": 0.13465179886387546,
      "eval_accuracy": 0.9627603888511658,
      "eval_loss": 0.18458549678325653,
      "eval_runtime": 553.4853,
      "eval_samples_per_second": 8.587,
      "eval_steps_per_second": 2.148,
      "step": 320
    },
    {
      "epoch": 0.13885966757837157,
      "grad_norm": 0.11561981588602066,
      "learning_rate": 0.00011999999999999999,
      "loss": 0.0687,
      "step": 330
    },
    {
      "epoch": 0.13885966757837157,
      "eval_accuracy": 0.9713864922523499,
      "eval_loss": 0.1371518075466156,
      "eval_runtime": 546.6765,
      "eval_samples_per_second": 8.694,
      "eval_steps_per_second": 2.175,
      "step": 330
    },
    {
      "epoch": 0.14306753629286767,
      "grad_norm": 0.08527376502752304,
      "learning_rate": 0.00011454545454545453,
      "loss": 0.2002,
      "step": 340
    },
    {
      "epoch": 0.14306753629286767,
      "eval_accuracy": 0.9711760878562927,
      "eval_loss": 0.13917790353298187,
      "eval_runtime": 557.0042,
      "eval_samples_per_second": 8.533,
      "eval_steps_per_second": 2.135,
      "step": 340
    },
    {
      "epoch": 0.14727540500736377,
      "grad_norm": 0.09233067184686661,
      "learning_rate": 0.00010909090909090908,
      "loss": 0.0674,
      "step": 350
    },
    {
      "epoch": 0.14727540500736377,
      "eval_accuracy": 0.9596044421195984,
      "eval_loss": 0.2038307785987854,
      "eval_runtime": 551.7111,
      "eval_samples_per_second": 8.615,
      "eval_steps_per_second": 2.155,
      "step": 350
    },
    {
      "epoch": 0.15148327372185988,
      "grad_norm": 1.7652984857559204,
      "learning_rate": 0.00010363636363636362,
      "loss": 0.2449,
      "step": 360
    },
    {
      "epoch": 0.15148327372185988,
      "eval_accuracy": 0.9699137210845947,
      "eval_loss": 0.1559370756149292,
      "eval_runtime": 551.9133,
      "eval_samples_per_second": 8.612,
      "eval_steps_per_second": 2.154,
      "step": 360
    },
    {
      "epoch": 0.15569114243635598,
      "grad_norm": 0.8582727313041687,
      "learning_rate": 9.818181818181817e-05,
      "loss": 0.0794,
      "step": 370
    },
    {
      "epoch": 0.15569114243635598,
      "eval_accuracy": 0.9697033166885376,
      "eval_loss": 0.10738001018762589,
      "eval_runtime": 550.561,
      "eval_samples_per_second": 8.633,
      "eval_steps_per_second": 2.16,
      "step": 370
    },
    {
      "epoch": 0.1598990111508521,
      "grad_norm": 0.20773591101169586,
      "learning_rate": 9.272727272727271e-05,
      "loss": 0.3155,
      "step": 380
    },
    {
      "epoch": 0.1598990111508521,
      "eval_accuracy": 0.9701241254806519,
      "eval_loss": 0.1280895173549652,
      "eval_runtime": 553.1498,
      "eval_samples_per_second": 8.593,
      "eval_steps_per_second": 2.15,
      "step": 380
    },
    {
      "epoch": 0.1641068798653482,
      "grad_norm": 0.19470787048339844,
      "learning_rate": 8.727272727272726e-05,
      "loss": 0.0265,
      "step": 390
    },
    {
      "epoch": 0.1641068798653482,
      "eval_accuracy": 0.9617083668708801,
      "eval_loss": 0.172711580991745,
      "eval_runtime": 555.6513,
      "eval_samples_per_second": 8.554,
      "eval_steps_per_second": 2.14,
      "step": 390
    },
    {
      "epoch": 0.1683147485798443,
      "grad_norm": 2.273648262023926,
      "learning_rate": 8.18181818181818e-05,
      "loss": 0.1631,
      "step": 400
    },
    {
      "epoch": 0.1683147485798443,
      "eval_accuracy": 0.9726488590240479,
      "eval_loss": 0.11321134120225906,
      "eval_runtime": 552.9935,
      "eval_samples_per_second": 8.595,
      "eval_steps_per_second": 2.15,
      "step": 400
    },
    {
      "epoch": 0.17252261729434043,
      "grad_norm": 0.14013071358203888,
      "learning_rate": 7.636363636363635e-05,
      "loss": 0.0432,
      "step": 410
    },
    {
      "epoch": 0.17252261729434043,
      "eval_accuracy": 0.9724384546279907,
      "eval_loss": 0.0995568335056305,
      "eval_runtime": 551.9628,
      "eval_samples_per_second": 8.611,
      "eval_steps_per_second": 2.154,
      "step": 410
    },
    {
      "epoch": 0.17673048600883653,
      "grad_norm": 5.5448994636535645,
      "learning_rate": 7.09090909090909e-05,
      "loss": 0.0878,
      "step": 420
    },
    {
      "epoch": 0.17673048600883653,
      "eval_accuracy": 0.9720176458358765,
      "eval_loss": 0.11234048753976822,
      "eval_runtime": 554.8087,
      "eval_samples_per_second": 8.567,
      "eval_steps_per_second": 2.143,
      "step": 420
    },
    {
      "epoch": 0.18093835472333264,
      "grad_norm": 0.11822725087404251,
      "learning_rate": 6.545454545454545e-05,
      "loss": 0.1447,
      "step": 430
    },
    {
      "epoch": 0.18093835472333264,
      "eval_accuracy": 0.9713864922523499,
      "eval_loss": 0.10238009691238403,
      "eval_runtime": 553.3152,
      "eval_samples_per_second": 8.59,
      "eval_steps_per_second": 2.149,
      "step": 430
    },
    {
      "epoch": 0.18514622343782874,
      "grad_norm": 0.1717545986175537,
      "learning_rate": 5.9999999999999995e-05,
      "loss": 0.1208,
      "step": 440
    },
    {
      "epoch": 0.18514622343782874,
      "eval_accuracy": 0.971596896648407,
      "eval_loss": 0.09492182731628418,
      "eval_runtime": 550.8446,
      "eval_samples_per_second": 8.629,
      "eval_steps_per_second": 2.159,
      "step": 440
    },
    {
      "epoch": 0.18935409215232485,
      "grad_norm": 0.7529041171073914,
      "learning_rate": 5.454545454545454e-05,
      "loss": 0.0643,
      "step": 450
    },
    {
      "epoch": 0.18935409215232485,
      "eval_accuracy": 0.9720176458358765,
      "eval_loss": 0.08474315702915192,
      "eval_runtime": 558.3353,
      "eval_samples_per_second": 8.513,
      "eval_steps_per_second": 2.13,
      "step": 450
    },
    {
      "epoch": 0.19356196086682095,
      "grad_norm": 0.20409902930259705,
      "learning_rate": 4.9090909090909084e-05,
      "loss": 0.0433,
      "step": 460
    },
    {
      "epoch": 0.19356196086682095,
      "eval_accuracy": 0.9758047461509705,
      "eval_loss": 0.0837019681930542,
      "eval_runtime": 555.0163,
      "eval_samples_per_second": 8.564,
      "eval_steps_per_second": 2.142,
      "step": 460
    },
    {
      "epoch": 0.19776982958131706,
      "grad_norm": 0.052959345281124115,
      "learning_rate": 4.363636363636363e-05,
      "loss": 0.1001,
      "step": 470
    },
    {
      "epoch": 0.19776982958131706,
      "eval_accuracy": 0.9793814420700073,
      "eval_loss": 0.08561240136623383,
      "eval_runtime": 550.605,
      "eval_samples_per_second": 8.632,
      "eval_steps_per_second": 2.159,
      "step": 470
    },
    {
      "epoch": 0.20197769829581316,
      "grad_norm": 0.19414858520030975,
      "learning_rate": 3.8181818181818174e-05,
      "loss": 0.0887,
      "step": 480
    },
    {
      "epoch": 0.20197769829581316,
      "eval_accuracy": 0.9768567085266113,
      "eval_loss": 0.11111757904291153,
      "eval_runtime": 549.5968,
      "eval_samples_per_second": 8.648,
      "eval_steps_per_second": 2.163,
      "step": 480
    },
    {
      "epoch": 0.20618556701030927,
      "grad_norm": 0.03906171768903732,
      "learning_rate": 3.2727272727272725e-05,
      "loss": 0.0554,
      "step": 490
    },
    {
      "epoch": 0.20618556701030927,
      "eval_accuracy": 0.9758047461509705,
      "eval_loss": 0.12151744961738586,
      "eval_runtime": 552.2439,
      "eval_samples_per_second": 8.607,
      "eval_steps_per_second": 2.153,
      "step": 490
    },
    {
      "epoch": 0.2103934357248054,
      "grad_norm": 0.08566837012767792,
      "learning_rate": 2.727272727272727e-05,
      "loss": 0.0293,
      "step": 500
    },
    {
      "epoch": 0.2103934357248054,
      "eval_accuracy": 0.975383996963501,
      "eval_loss": 0.12937308847904205,
      "eval_runtime": 558.1401,
      "eval_samples_per_second": 8.516,
      "eval_steps_per_second": 2.13,
      "step": 500
    },
    {
      "epoch": 0.2146013044393015,
      "grad_norm": 0.09275167435407639,
      "learning_rate": 2.1818181818181814e-05,
      "loss": 0.0152,
      "step": 510
    },
    {
      "epoch": 0.2146013044393015,
      "eval_accuracy": 0.9758047461509705,
      "eval_loss": 0.12702897191047668,
      "eval_runtime": 555.0185,
      "eval_samples_per_second": 8.564,
      "eval_steps_per_second": 2.142,
      "step": 510
    },
    {
      "epoch": 0.2188091731537976,
      "grad_norm": 0.031154340133070946,
      "learning_rate": 1.6363636363636363e-05,
      "loss": 0.1286,
      "step": 520
    },
    {
      "epoch": 0.2188091731537976,
      "eval_accuracy": 0.9747527837753296,
      "eval_loss": 0.133098304271698,
      "eval_runtime": 554.216,
      "eval_samples_per_second": 8.576,
      "eval_steps_per_second": 2.145,
      "step": 520
    },
    {
      "epoch": 0.22301704186829371,
      "grad_norm": 0.031359899789094925,
      "learning_rate": 1.0909090909090907e-05,
      "loss": 0.0186,
      "step": 530
    },
    {
      "epoch": 0.22301704186829371,
      "eval_accuracy": 0.9737008213996887,
      "eval_loss": 0.1388082504272461,
      "eval_runtime": 549.5036,
      "eval_samples_per_second": 8.65,
      "eval_steps_per_second": 2.164,
      "step": 530
    },
    {
      "epoch": 0.22722491058278982,
      "grad_norm": 0.03772009164094925,
      "learning_rate": 5.454545454545454e-06,
      "loss": 0.0299,
      "step": 540
    },
    {
      "epoch": 0.22722491058278982,
      "eval_accuracy": 0.9732800126075745,
      "eval_loss": 0.14506614208221436,
      "eval_runtime": 554.9274,
      "eval_samples_per_second": 8.565,
      "eval_steps_per_second": 2.143,
      "step": 540
    },
    {
      "epoch": 0.23143277929728592,
      "grad_norm": 0.07556959241628647,
      "learning_rate": 0.0,
      "loss": 0.0536,
      "step": 550
    },
    {
      "epoch": 0.23143277929728592,
      "eval_accuracy": 0.972859263420105,
      "eval_loss": 0.14720246195793152,
      "eval_runtime": 548.0681,
      "eval_samples_per_second": 8.672,
      "eval_steps_per_second": 2.169,
      "step": 550
    }
  ],
  "logging_steps": 10,
  "max_steps": 550,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 10,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 6.208452205931052e+17,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}