{
  "best_metric": 0.8380823767724511,
  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-masakhaner-zh/checkpoint-8000",
  "epoch": 6.529453513129879,
  "global_step": 9200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.14,
      "eval_accuracy_score": 0.9129681035491316,
      "eval_f1": 0.28297109094745726,
      "eval_loss": 0.24658027291297913,
      "eval_precision": 0.2293091655266758,
      "eval_recall": 0.3694214876033058,
      "eval_runtime": 13.6213,
      "eval_samples_per_second": 126.346,
      "eval_steps_per_second": 15.858,
      "step": 200
    },
    {
      "epoch": 0.28,
      "eval_accuracy_score": 0.9404507407761931,
      "eval_f1": 0.45835209365150836,
      "eval_loss": 0.16537903249263763,
      "eval_precision": 0.3875142748382185,
      "eval_recall": 0.5608815426997246,
      "eval_runtime": 13.6182,
      "eval_samples_per_second": 126.375,
      "eval_steps_per_second": 15.861,
      "step": 400
    },
    {
      "epoch": 0.35,
      "learning_rate": 4.865771812080537e-05,
      "loss": 0.311,
      "step": 500
    },
    {
      "epoch": 0.43,
      "eval_accuracy_score": 0.9547344798613105,
      "eval_f1": 0.5599802127133318,
      "eval_loss": 0.1292579174041748,
      "eval_precision": 0.5080789946140036,
      "eval_recall": 0.6236914600550965,
      "eval_runtime": 13.6318,
      "eval_samples_per_second": 126.249,
      "eval_steps_per_second": 15.845,
      "step": 600
    },
    {
      "epoch": 0.57,
      "eval_accuracy_score": 0.9593291003265159,
      "eval_f1": 0.6071473041962396,
      "eval_loss": 0.11427777260541916,
      "eval_precision": 0.5539650079527381,
      "eval_recall": 0.6716253443526171,
      "eval_runtime": 13.6172,
      "eval_samples_per_second": 126.385,
      "eval_steps_per_second": 15.862,
      "step": 800
    },
    {
      "epoch": 0.71,
      "learning_rate": 4.697986577181208e-05,
      "loss": 0.129,
      "step": 1000
    },
    {
      "epoch": 0.71,
      "eval_accuracy_score": 0.9607542835263712,
      "eval_f1": 0.6353887399463807,
      "eval_loss": 0.11220921576023102,
      "eval_precision": 0.5697115384615384,
      "eval_recall": 0.7181818181818181,
      "eval_runtime": 13.6515,
      "eval_samples_per_second": 126.067,
      "eval_steps_per_second": 15.822,
      "step": 1000
    },
    {
      "epoch": 0.85,
      "eval_accuracy_score": 0.9674547717047957,
      "eval_f1": 0.6734111543450064,
      "eval_loss": 0.09249622374773026,
      "eval_precision": 0.6362745098039215,
      "eval_recall": 0.7151515151515152,
      "eval_runtime": 13.6224,
      "eval_samples_per_second": 126.336,
      "eval_steps_per_second": 15.856,
      "step": 1200
    },
    {
      "epoch": 0.99,
      "eval_accuracy_score": 0.9631473150186657,
      "eval_f1": 0.6626785496276401,
      "eval_loss": 0.10182885825634003,
      "eval_precision": 0.5950449462837097,
      "eval_recall": 0.7476584022038567,
      "eval_runtime": 13.6109,
      "eval_samples_per_second": 126.443,
      "eval_steps_per_second": 15.87,
      "step": 1400
    },
    {
      "epoch": 1.06,
      "learning_rate": 4.530201342281879e-05,
      "loss": 0.1036,
      "step": 1500
    },
    {
      "epoch": 1.14,
      "eval_accuracy_score": 0.9710921795730831,
      "eval_f1": 0.6969853130636433,
      "eval_loss": 0.082883320748806,
      "eval_precision": 0.6546466602129719,
      "eval_recall": 0.7451790633608816,
      "eval_runtime": 13.6154,
      "eval_samples_per_second": 126.401,
      "eval_steps_per_second": 15.864,
      "step": 1600
    },
    {
      "epoch": 1.28,
      "eval_accuracy_score": 0.9742722525339544,
      "eval_f1": 0.7333952008484688,
      "eval_loss": 0.07554662227630615,
      "eval_precision": 0.7068745208280092,
      "eval_recall": 0.7619834710743801,
      "eval_runtime": 14.1365,
      "eval_samples_per_second": 121.741,
      "eval_steps_per_second": 15.28,
      "step": 1800
    },
    {
      "epoch": 1.42,
      "learning_rate": 4.36241610738255e-05,
      "loss": 0.0836,
      "step": 2000
    },
    {
      "epoch": 1.42,
      "eval_accuracy_score": 0.974740223136892,
      "eval_f1": 0.732556617358293,
      "eval_loss": 0.07343326508998871,
      "eval_precision": 0.697929658268895,
      "eval_recall": 0.7707988980716254,
      "eval_runtime": 13.5903,
      "eval_samples_per_second": 126.635,
      "eval_steps_per_second": 15.894,
      "step": 2000
    },
    {
      "epoch": 1.56,
      "eval_accuracy_score": 0.9732086829818236,
      "eval_f1": 0.7319003033100355,
      "eval_loss": 0.07696483284235,
      "eval_precision": 0.7019984821654439,
      "eval_recall": 0.7644628099173554,
      "eval_runtime": 13.5905,
      "eval_samples_per_second": 126.633,
      "eval_steps_per_second": 15.893,
      "step": 2200
    },
    {
      "epoch": 1.7,
      "eval_accuracy_score": 0.9746870446592855,
      "eval_f1": 0.7546320804658551,
      "eval_loss": 0.07449489831924438,
      "eval_precision": 0.7261844116148752,
      "eval_recall": 0.7853994490358127,
      "eval_runtime": 13.5778,
      "eval_samples_per_second": 126.751,
      "eval_steps_per_second": 15.908,
      "step": 2400
    },
    {
      "epoch": 1.77,
      "learning_rate": 4.194630872483222e-05,
      "loss": 0.0759,
      "step": 2500
    },
    {
      "epoch": 1.85,
      "eval_accuracy_score": 0.9739850887548791,
      "eval_f1": 0.7507269362939466,
      "eval_loss": 0.07230275124311447,
      "eval_precision": 0.7215447154471545,
      "eval_recall": 0.7823691460055097,
      "eval_runtime": 13.6116,
      "eval_samples_per_second": 126.436,
      "eval_steps_per_second": 15.869,
      "step": 2600
    },
    {
      "epoch": 1.99,
      "eval_accuracy_score": 0.9774842325813896,
      "eval_f1": 0.765840220385675,
      "eval_loss": 0.06559152156114578,
      "eval_precision": 0.7310293012772352,
      "eval_recall": 0.8041322314049587,
      "eval_runtime": 13.5735,
      "eval_samples_per_second": 126.791,
      "eval_steps_per_second": 15.913,
      "step": 2800
    },
    {
      "epoch": 2.13,
      "learning_rate": 4.026845637583892e-05,
      "loss": 0.0661,
      "step": 3000
    },
    {
      "epoch": 2.13,
      "eval_accuracy_score": 0.9767397338948981,
      "eval_f1": 0.766487478694113,
      "eval_loss": 0.06845659017562866,
      "eval_precision": 0.7312984738553916,
      "eval_recall": 0.8052341597796143,
      "eval_runtime": 13.5908,
      "eval_samples_per_second": 126.63,
      "eval_steps_per_second": 15.893,
      "step": 3000
    },
    {
      "epoch": 2.27,
      "eval_accuracy_score": 0.9781861884857961,
      "eval_f1": 0.786258521588023,
      "eval_loss": 0.06672950088977814,
      "eval_precision": 0.7636977408465334,
      "eval_recall": 0.8101928374655647,
      "eval_runtime": 13.5943,
      "eval_samples_per_second": 126.597,
      "eval_steps_per_second": 15.889,
      "step": 3200
    },
    {
      "epoch": 2.41,
      "eval_accuracy_score": 0.978494623655914,
      "eval_f1": 0.788430637386181,
      "eval_loss": 0.06290964037179947,
      "eval_precision": 0.7670661803022407,
      "eval_recall": 0.8110192837465565,
      "eval_runtime": 13.6234,
      "eval_samples_per_second": 126.327,
      "eval_steps_per_second": 15.855,
      "step": 3400
    },
    {
      "epoch": 2.48,
      "learning_rate": 3.859060402684564e-05,
      "loss": 0.0557,
      "step": 3500
    },
    {
      "epoch": 2.56,
      "eval_accuracy_score": 0.9771545260202291,
      "eval_f1": 0.7819006940736786,
      "eval_loss": 0.06865714490413666,
      "eval_precision": 0.7584153288451579,
      "eval_recall": 0.8068870523415977,
      "eval_runtime": 13.6478,
      "eval_samples_per_second": 126.101,
      "eval_steps_per_second": 15.827,
      "step": 3600
    },
    {
      "epoch": 2.7,
      "eval_accuracy_score": 0.9764100273337375,
      "eval_f1": 0.7668036590216094,
      "eval_loss": 0.06829773634672165,
      "eval_precision": 0.7390748786097623,
      "eval_recall": 0.7966942148760331,
      "eval_runtime": 13.5949,
      "eval_samples_per_second": 126.592,
      "eval_steps_per_second": 15.888,
      "step": 3800
    },
    {
      "epoch": 2.84,
      "learning_rate": 3.6912751677852356e-05,
      "loss": 0.053,
      "step": 4000
    },
    {
      "epoch": 2.84,
      "eval_accuracy_score": 0.9786116163066484,
      "eval_f1": 0.7864077669902914,
      "eval_loss": 0.06425034999847412,
      "eval_precision": 0.750751503006012,
      "eval_recall": 0.8256198347107438,
      "eval_runtime": 13.5943,
      "eval_samples_per_second": 126.597,
      "eval_steps_per_second": 15.889,
      "step": 4000
    },
    {
      "epoch": 2.98,
      "eval_accuracy_score": 0.9795475575125235,
      "eval_f1": 0.7989869368168488,
      "eval_loss": 0.06154418736696243,
      "eval_precision": 0.7740185950413223,
      "eval_recall": 0.8256198347107438,
      "eval_runtime": 13.6387,
      "eval_samples_per_second": 126.185,
      "eval_steps_per_second": 15.837,
      "step": 4200
    },
    {
      "epoch": 3.12,
      "eval_accuracy_score": 0.9785797092200844,
      "eval_f1": 0.7900653594771242,
      "eval_loss": 0.0661051869392395,
      "eval_precision": 0.7517412935323383,
      "eval_recall": 0.8325068870523415,
      "eval_runtime": 13.6158,
      "eval_samples_per_second": 126.398,
      "eval_steps_per_second": 15.864,
      "step": 4400
    },
    {
      "epoch": 3.19,
      "learning_rate": 3.523489932885906e-05,
      "loss": 0.0438,
      "step": 4500
    },
    {
      "epoch": 3.26,
      "eval_accuracy_score": 0.9797815428139923,
      "eval_f1": 0.7966373098478784,
      "eval_loss": 0.06480157375335693,
      "eval_precision": 0.7725155279503105,
      "eval_recall": 0.8223140495867769,
      "eval_runtime": 13.6096,
      "eval_samples_per_second": 126.455,
      "eval_steps_per_second": 15.871,
      "step": 4600
    },
    {
      "epoch": 3.41,
      "eval_accuracy_score": 0.9802920561990152,
      "eval_f1": 0.7971303308090872,
      "eval_loss": 0.0628492534160614,
      "eval_precision": 0.7698229407236336,
      "eval_recall": 0.8264462809917356,
      "eval_runtime": 13.615,
      "eval_samples_per_second": 126.404,
      "eval_steps_per_second": 15.865,
      "step": 4800
    },
    {
      "epoch": 3.55,
      "learning_rate": 3.3557046979865775e-05,
      "loss": 0.0387,
      "step": 5000
    },
    {
      "epoch": 3.55,
      "eval_accuracy_score": 0.9815577039660509,
      "eval_f1": 0.810593900481541,
      "eval_loss": 0.06002389267086983,
      "eval_precision": 0.7878315132605305,
      "eval_recall": 0.8347107438016529,
      "eval_runtime": 13.5792,
      "eval_samples_per_second": 126.738,
      "eval_steps_per_second": 15.907,
      "step": 5000
    },
    {
      "epoch": 3.69,
      "eval_accuracy_score": 0.9817385107899131,
      "eval_f1": 0.8027467348862258,
      "eval_loss": 0.05803261324763298,
      "eval_precision": 0.7850934948643666,
      "eval_recall": 0.8212121212121212,
      "eval_runtime": 13.5963,
      "eval_samples_per_second": 126.578,
      "eval_steps_per_second": 15.887,
      "step": 5200
    },
    {
      "epoch": 3.83,
      "eval_accuracy_score": 0.9809940121034215,
      "eval_f1": 0.7985592315901814,
      "eval_loss": 0.05973115563392639,
      "eval_precision": 0.7741852043455768,
      "eval_recall": 0.8245179063360881,
      "eval_runtime": 13.6439,
      "eval_samples_per_second": 126.137,
      "eval_steps_per_second": 15.831,
      "step": 5400
    },
    {
      "epoch": 3.9,
      "learning_rate": 3.1879194630872485e-05,
      "loss": 0.0384,
      "step": 5500
    },
    {
      "epoch": 3.97,
      "eval_accuracy_score": 0.9800155281154611,
      "eval_f1": 0.811035221641891,
      "eval_loss": 0.0613255649805069,
      "eval_precision": 0.7891581965076883,
      "eval_recall": 0.8341597796143251,
      "eval_runtime": 13.6115,
      "eval_samples_per_second": 126.437,
      "eval_steps_per_second": 15.869,
      "step": 5600
    },
    {
      "epoch": 4.12,
      "eval_accuracy_score": 0.9810046477989428,
      "eval_f1": 0.8116173727684519,
      "eval_loss": 0.062166035175323486,
      "eval_precision": 0.7858617131062952,
      "eval_recall": 0.8391184573002755,
      "eval_runtime": 13.5983,
      "eval_samples_per_second": 126.56,
      "eval_steps_per_second": 15.884,
      "step": 5800
    },
    {
      "epoch": 4.26,
      "learning_rate": 3.02013422818792e-05,
      "loss": 0.0306,
      "step": 6000
    },
    {
      "epoch": 4.26,
      "eval_accuracy_score": 0.9821001244376376,
      "eval_f1": 0.8187010227121796,
      "eval_loss": 0.062430813908576965,
      "eval_precision": 0.790459092074891,
      "eval_recall": 0.8490358126721763,
      "eval_runtime": 13.6088,
      "eval_samples_per_second": 126.462,
      "eval_steps_per_second": 15.872,
      "step": 6000
    },
    {
      "epoch": 4.4,
      "eval_accuracy_score": 0.9816321538347,
      "eval_f1": 0.8215152332165004,
      "eval_loss": 0.06259527057409286,
      "eval_precision": 0.8043822597676874,
      "eval_recall": 0.8393939393939394,
      "eval_runtime": 13.5727,
      "eval_samples_per_second": 126.799,
      "eval_steps_per_second": 15.914,
      "step": 6200
    },
    {
      "epoch": 4.54,
      "eval_accuracy_score": 0.9820894887421163,
      "eval_f1": 0.820450885668277,
      "eval_loss": 0.060455016791820526,
      "eval_precision": 0.7998430141287284,
      "eval_recall": 0.8421487603305785,
      "eval_runtime": 13.9612,
      "eval_samples_per_second": 123.27,
      "eval_steps_per_second": 15.471,
      "step": 6400
    },
    {
      "epoch": 4.61,
      "learning_rate": 2.8523489932885905e-05,
      "loss": 0.0284,
      "step": 6500
    },
    {
      "epoch": 4.68,
      "eval_accuracy_score": 0.9816959680078279,
      "eval_f1": 0.8147754451235716,
      "eval_loss": 0.06003221124410629,
      "eval_precision": 0.7869609856262834,
      "eval_recall": 0.8446280991735537,
      "eval_runtime": 13.5502,
      "eval_samples_per_second": 127.009,
      "eval_steps_per_second": 15.941,
      "step": 6600
    },
    {
      "epoch": 4.83,
      "eval_accuracy_score": 0.9806962126288249,
      "eval_f1": 0.8067448294032407,
      "eval_loss": 0.06309182196855545,
      "eval_precision": 0.7730371118404443,
      "eval_recall": 0.843526170798898,
      "eval_runtime": 13.6187,
      "eval_samples_per_second": 126.37,
      "eval_steps_per_second": 15.861,
      "step": 6800
    },
    {
      "epoch": 4.97,
      "learning_rate": 2.6845637583892618e-05,
      "loss": 0.0284,
      "step": 7000
    },
    {
      "epoch": 4.97,
      "eval_accuracy_score": 0.9820150388734671,
      "eval_f1": 0.8199058507061198,
      "eval_loss": 0.06148926541209221,
      "eval_precision": 0.8010512483574245,
      "eval_recall": 0.8396694214876033,
      "eval_runtime": 13.5967,
      "eval_samples_per_second": 126.575,
      "eval_steps_per_second": 15.886,
      "step": 7000
    },
    {
      "epoch": 5.11,
      "eval_accuracy_score": 0.9822490241749359,
      "eval_f1": 0.8229922105828633,
      "eval_loss": 0.061297256499528885,
      "eval_precision": 0.8029350104821803,
      "eval_recall": 0.8440771349862259,
      "eval_runtime": 13.5574,
      "eval_samples_per_second": 126.941,
      "eval_steps_per_second": 15.932,
      "step": 7200
    },
    {
      "epoch": 5.25,
      "eval_accuracy_score": 0.9818767748316901,
      "eval_f1": 0.8198608137044968,
      "eval_loss": 0.06245254725217819,
      "eval_precision": 0.7972410203019261,
      "eval_recall": 0.843801652892562,
      "eval_runtime": 13.5789,
      "eval_samples_per_second": 126.741,
      "eval_steps_per_second": 15.907,
      "step": 7400
    },
    {
      "epoch": 5.32,
      "learning_rate": 2.516778523489933e-05,
      "loss": 0.0214,
      "step": 7500
    },
    {
      "epoch": 5.39,
      "eval_accuracy_score": 0.9830041585569488,
      "eval_f1": 0.8312735088662009,
      "eval_loss": 0.061838824301958084,
      "eval_precision": 0.8112218143681175,
      "eval_recall": 0.8523415977961433,
      "eval_runtime": 13.5752,
      "eval_samples_per_second": 126.775,
      "eval_steps_per_second": 15.911,
      "step": 7600
    },
    {
      "epoch": 5.54,
      "eval_accuracy_score": 0.9833870435957159,
      "eval_f1": 0.8350612629594723,
      "eval_loss": 0.05837469547986984,
      "eval_precision": 0.8166973926784303,
      "eval_recall": 0.8542699724517906,
      "eval_runtime": 13.5899,
      "eval_samples_per_second": 126.638,
      "eval_steps_per_second": 15.894,
      "step": 7800
    },
    {
      "epoch": 5.68,
      "learning_rate": 2.348993288590604e-05,
      "loss": 0.0207,
      "step": 8000
    },
    {
      "epoch": 5.68,
      "eval_accuracy_score": 0.983046701339034,
      "eval_f1": 0.8380823767724511,
      "eval_loss": 0.062301117926836014,
      "eval_precision": 0.8219867549668874,
      "eval_recall": 0.8548209366391185,
      "eval_runtime": 13.6129,
      "eval_samples_per_second": 126.424,
      "eval_steps_per_second": 15.867,
      "step": 8000
    },
    {
      "epoch": 5.82,
      "eval_accuracy_score": 0.9830573370345553,
      "eval_f1": 0.8395858545112277,
      "eval_loss": 0.06179790198802948,
      "eval_precision": 0.8200682952456002,
      "eval_recall": 0.8600550964187328,
      "eval_runtime": 13.5699,
      "eval_samples_per_second": 126.824,
      "eval_steps_per_second": 15.918,
      "step": 8200
    },
    {
      "epoch": 5.96,
      "eval_accuracy_score": 0.9832913223360241,
      "eval_f1": 0.832185770217362,
      "eval_loss": 0.062014687806367874,
      "eval_precision": 0.815991527667461,
      "eval_recall": 0.8490358126721763,
      "eval_runtime": 13.5558,
      "eval_samples_per_second": 126.957,
      "eval_steps_per_second": 15.934,
      "step": 8400
    },
    {
      "epoch": 6.03,
      "learning_rate": 2.181208053691275e-05,
      "loss": 0.021,
      "step": 8500
    },
    {
      "epoch": 6.1,
      "eval_accuracy_score": 0.9830041585569488,
      "eval_f1": 0.8260577568838147,
      "eval_loss": 0.0646287053823471,
      "eval_precision": 0.8060288335517694,
      "eval_recall": 0.8471074380165289,
      "eval_runtime": 13.6088,
      "eval_samples_per_second": 126.462,
      "eval_steps_per_second": 15.872,
      "step": 8600
    },
    {
      "epoch": 6.25,
      "eval_accuracy_score": 0.9833976792912372,
      "eval_f1": 0.8323497854077254,
      "eval_loss": 0.06417383998632431,
      "eval_precision": 0.8110297961317303,
      "eval_recall": 0.8548209366391185,
      "eval_runtime": 13.585,
      "eval_samples_per_second": 126.684,
      "eval_steps_per_second": 15.9,
      "step": 8800
    },
    {
      "epoch": 6.39,
      "learning_rate": 2.013422818791946e-05,
      "loss": 0.016,
      "step": 9000
    },
    {
      "epoch": 6.39,
      "eval_accuracy_score": 0.9833870435957159,
      "eval_f1": 0.8344495044200374,
      "eval_loss": 0.062400706112384796,
      "eval_precision": 0.8120437956204379,
      "eval_recall": 0.8581267217630854,
      "eval_runtime": 13.5776,
      "eval_samples_per_second": 126.753,
      "eval_steps_per_second": 15.909,
      "step": 9000
    },
    {
      "epoch": 6.53,
      "eval_accuracy_score": 0.9841421779777288,
      "eval_f1": 0.8372093023255813,
      "eval_loss": 0.061586689203977585,
      "eval_precision": 0.8130841121495327,
      "eval_recall": 0.8628099173553719,
      "eval_runtime": 13.5728,
      "eval_samples_per_second": 126.797,
      "eval_steps_per_second": 15.914,
      "step": 9200
    },
    {
      "epoch": 6.53,
      "step": 9200,
      "total_flos": 4.831477938761011e+16,
      "train_loss": 0.06368145237798276,
      "train_runtime": 5134.9469,
      "train_samples_per_second": 93.477,
      "train_steps_per_second": 2.921
    }
  ],
  "max_steps": 15000,
  "num_train_epochs": 11,
  "total_flos": 4.831477938761011e+16,
  "trial_name": null,
  "trial_params": null
}