[
    {
        "loss": 0.7745,
        "learning_rate": 0.0002,
        "epoch": 0.05,
        "step": 1
    },
    {
        "loss": 0.6967,
        "learning_rate": 0.0002,
        "epoch": 0.11,
        "step": 2
    },
    {
        "loss": 0.7227,
        "learning_rate": 0.0002,
        "epoch": 0.16,
        "step": 3
    },
    {
        "loss": 0.71,
        "learning_rate": 0.0002,
        "epoch": 0.21,
        "step": 4
    },
    {
        "loss": 0.6809,
        "learning_rate": 0.0002,
        "epoch": 0.26,
        "step": 5
    },
    {
        "loss": 0.7043,
        "learning_rate": 0.0002,
        "epoch": 0.32,
        "step": 6
    },
    {
        "loss": 0.6713,
        "learning_rate": 0.0002,
        "epoch": 0.37,
        "step": 7
    },
    {
        "loss": 0.6788,
        "learning_rate": 0.0002,
        "epoch": 0.42,
        "step": 8
    },
    {
        "loss": 0.6522,
        "learning_rate": 0.0002,
        "epoch": 0.47,
        "step": 9
    },
    {
        "loss": 0.6264,
        "learning_rate": 0.0002,
        "epoch": 0.53,
        "step": 10
    },
    {
        "loss": 0.6381,
        "learning_rate": 0.0002,
        "epoch": 0.58,
        "step": 11
    },
    {
        "loss": 0.6187,
        "learning_rate": 0.0002,
        "epoch": 0.63,
        "step": 12
    },
    {
        "loss": 0.5279,
        "learning_rate": 0.0002,
        "epoch": 0.68,
        "step": 13
    },
    {
        "loss": 0.5766,
        "learning_rate": 0.0002,
        "epoch": 0.74,
        "step": 14
    },
    {
        "loss": 0.4784,
        "learning_rate": 0.0002,
        "epoch": 0.79,
        "step": 15
    },
    {
        "loss": 0.4198,
        "learning_rate": 0.0002,
        "epoch": 0.84,
        "step": 16
    },
    {
        "loss": 0.5876,
        "learning_rate": 0.0002,
        "epoch": 0.89,
        "step": 17
    },
    {
        "loss": 0.4181,
        "learning_rate": 0.0002,
        "epoch": 0.95,
        "step": 18
    },
    {
        "loss": 0.4716,
        "learning_rate": 0.0002,
        "epoch": 1.0,
        "step": 19
    },
    {
        "loss": 0.6533,
        "learning_rate": 0.0002,
        "epoch": 1.05,
        "step": 20
    },
    {
        "loss": 0.3915,
        "learning_rate": 0.0002,
        "epoch": 1.11,
        "step": 21
    },
    {
        "loss": 0.5059,
        "learning_rate": 0.0002,
        "epoch": 1.16,
        "step": 22
    },
    {
        "loss": 0.4458,
        "learning_rate": 0.0002,
        "epoch": 1.21,
        "step": 23
    },
    {
        "loss": 0.5159,
        "learning_rate": 0.0002,
        "epoch": 1.26,
        "step": 24
    },
    {
        "loss": 0.4388,
        "learning_rate": 0.0002,
        "epoch": 1.32,
        "step": 25
    },
    {
        "eval_quote_attribution_loss": 0.3903699815273285,
        "eval_quote_attribution_score": -0.13283972442150116,
        "eval_quote_attribution_brier_score": 0.13283972442150116,
        "eval_quote_attribution_average_probability": 0.7337198853492737,
        "eval_quote_attribution_accuracy": 0.76,
        "eval_quote_attribution_probabilities": [
            0.3397865295410156,
            0.27400609850883484,
            0.6274727582931519,
            0.5726096034049988,
            0.7350274324417114,
            0.89092618227005,
            0.8754991292953491,
            0.9745182394981384,
            0.9272416830062866,
            0.8318775296211243,
            0.9994543194770813,
            0.9697004556655884,
            0.6574472784996033,
            0.9558533430099487,
            0.7987542152404785,
            0.7501387596130371,
            0.45201608538627625,
            0.9025270342826843,
            0.6715742945671082,
            0.968725860118866,
            0.91517174243927,
            0.6382958292961121,
            0.949180543422699,
            0.9957343935966492,
            0.31578928232192993,
            0.6597267985343933,
            0.8947572708129883,
            0.2931935787200928,
            0.8521986603736877,
            0.9986943602561951,
            0.9458821415901184,
            0.9390006065368652,
            0.8302227258682251,
            0.19578516483306885,
            0.9109433889389038,
            0.12956511974334717,
            0.6802142262458801,
            0.937251091003418,
            0.8683292865753174,
            0.9591161012649536,
            0.8652911186218262,
            0.9901982545852661,
            0.8897508382797241,
            0.2960745394229889,
            0.40311864018440247,
            0.17587710916996002,
            0.9315513968467712,
            0.48898300528526306,
            0.52398282289505,
            0.46714815497398376,
            0.9947591423988342,
            0.7912486791610718,
            0.9232833385467529,
            0.9261313676834106,
            0.7881039381027222,
            0.9963042736053467,
            0.4191492199897766,
            0.8374874591827393,
            0.5932137966156006,
            0.9614864587783813,
            0.37411344051361084,
            0.5918532013893127,
            0.39012864232063293,
            0.28125879168510437,
            0.8941668272018433,
            0.8424620628356934,
            0.8092784285545349,
            0.7347500920295715,
            0.9776512980461121,
            0.9989927411079407,
            0.5517320036888123,
            0.5454489588737488,
            0.3367040455341339,
            0.7517660856246948,
            0.9410293698310852,
            0.8296215534210205,
            0.820630669593811,
            0.42773497104644775,
            0.9955050349235535,
            0.9657703638076782,
            0.7948038578033447,
            0.2974149286746979,
            0.998604953289032,
            0.997099757194519,
            0.7744022607803345,
            0.9542419910430908,
            0.964718759059906,
            0.29336974024772644,
            0.9298573136329651,
            0.9975958466529846,
            0.8341689109802246,
            0.4438086152076721,
            0.8190150260925293,
            0.9896742701530457,
            0.4560953378677368,
            0.9868803024291992,
            0.7759295105934143,
            0.49203911423683167,
            0.8246551156044006,
            0.3396430015563965
        ],
        "eval_quote_attribution_runtime": 14.5782,
        "eval_quote_attribution_samples_per_second": 6.86,
        "eval_quote_attribution_steps_per_second": 0.137,
        "epoch": 1.32,
        "step": 25
    },
    {
        "loss": 0.3012,
        "learning_rate": 0.0002,
        "epoch": 1.37,
        "step": 26
    },
    {
        "loss": 0.2573,
        "learning_rate": 0.0002,
        "epoch": 1.42,
        "step": 27
    },
    {
        "loss": 0.2884,
        "learning_rate": 0.0002,
        "epoch": 1.47,
        "step": 28
    },
    {
        "loss": 0.3465,
        "learning_rate": 0.0002,
        "epoch": 1.53,
        "step": 29
    },
    {
        "loss": 0.4097,
        "learning_rate": 0.0002,
        "epoch": 1.58,
        "step": 30
    },
    {
        "loss": 0.3226,
        "learning_rate": 0.0002,
        "epoch": 1.63,
        "step": 31
    },
    {
        "loss": 0.3939,
        "learning_rate": 0.0002,
        "epoch": 1.68,
        "step": 32
    },
    {
        "loss": 0.4634,
        "learning_rate": 0.0002,
        "epoch": 1.74,
        "step": 33
    },
    {
        "loss": 0.245,
        "learning_rate": 0.0002,
        "epoch": 1.79,
        "step": 34
    },
    {
        "loss": 0.5877,
        "learning_rate": 0.0002,
        "epoch": 1.84,
        "step": 35
    },
    {
        "loss": 0.34,
        "learning_rate": 0.0002,
        "epoch": 1.89,
        "step": 36
    },
    {
        "loss": 0.3888,
        "learning_rate": 0.0002,
        "epoch": 1.95,
        "step": 37
    },
    {
        "loss": 0.4495,
        "learning_rate": 0.0002,
        "epoch": 2.0,
        "step": 38
    },
    {
        "loss": 0.3455,
        "learning_rate": 0.0002,
        "epoch": 2.05,
        "step": 39
    },
    {
        "loss": 0.3999,
        "learning_rate": 0.0002,
        "epoch": 2.11,
        "step": 40
    },
    {
        "loss": 0.3567,
        "learning_rate": 0.0002,
        "epoch": 2.16,
        "step": 41
    },
    {
        "loss": 0.1923,
        "learning_rate": 0.0002,
        "epoch": 2.21,
        "step": 42
    },
    {
        "loss": 0.3432,
        "learning_rate": 0.0002,
        "epoch": 2.26,
        "step": 43
    },
    {
        "loss": 0.4009,
        "learning_rate": 0.0002,
        "epoch": 2.32,
        "step": 44
    },
    {
        "loss": 0.3515,
        "learning_rate": 0.0002,
        "epoch": 2.37,
        "step": 45
    },
    {
        "loss": 0.2747,
        "learning_rate": 0.0002,
        "epoch": 2.42,
        "step": 46
    },
    {
        "loss": 0.258,
        "learning_rate": 0.0002,
        "epoch": 2.47,
        "step": 47
    },
    {
        "loss": 0.1799,
        "learning_rate": 0.0002,
        "epoch": 2.53,
        "step": 48
    },
    {
        "loss": 0.1551,
        "learning_rate": 0.0002,
        "epoch": 2.58,
        "step": 49
    },
    {
        "loss": 0.1258,
        "learning_rate": 0.0002,
        "epoch": 2.63,
        "step": 50
    },
    {
        "eval_quote_attribution_loss": 0.3712925314903259,
        "eval_quote_attribution_score": -0.12255415320396423,
        "eval_quote_attribution_brier_score": 0.12255415320396423,
        "eval_quote_attribution_average_probability": 0.7985621094703674,
        "eval_quote_attribution_accuracy": 0.84,
        "eval_quote_attribution_probabilities": [
            0.7860729098320007,
            0.01861773245036602,
            0.5588395595550537,
            0.7460629343986511,
            0.9215473532676697,
            0.9298348426818848,
            0.9293332695960999,
            0.9996851682662964,
            0.9933885335922241,
            0.9907566905021667,
            0.9999681711196899,
            0.9971022009849548,
            0.7689657211303711,
            0.9484009146690369,
            0.13260115683078766,
            0.9933617115020752,
            0.9818628430366516,
            0.8795493841171265,
            0.9840488433837891,
            0.9823899269104004,
            0.994962215423584,
            0.731959342956543,
            0.9895108342170715,
            0.9971423745155334,
            0.5458362698554993,
            0.3520396947860718,
            0.9780328273773193,
            0.5804782509803772,
            0.9987543821334839,
            0.9999915361404419,
            0.8940104246139526,
            0.9943435192108154,
            0.19301150739192963,
            0.0275607667863369,
            0.8172199726104736,
            0.3415309190750122,
            0.6565711498260498,
            0.9999420642852783,
            0.9682236313819885,
            0.9904249310493469,
            0.5104338526725769,
            0.9565191864967346,
            0.6578478813171387,
            0.9731898903846741,
            0.12479862570762634,
            0.2389501929283142,
            0.9803010821342468,
            0.843787431716919,
            0.9813414812088013,
            0.7190759778022766,
            0.9995619654655457,
            0.9799215793609619,
            0.9990746974945068,
            0.9562553763389587,
            0.9879046678543091,
            0.9993870258331299,
            0.5144264101982117,
            0.7331254482269287,
            0.965781569480896,
            0.9958714842796326,
            0.8164321780204773,
            0.4206125736236572,
            0.9912711381912231,
            0.10806604474782944,
            0.9852036237716675,
            0.9687488079071045,
            0.9890704154968262,
            0.37852346897125244,
            0.999263346195221,
            0.9985498785972595,
            0.9326132535934448,
            0.7800835371017456,
            0.2572803497314453,
            0.7245361804962158,
            0.9989525079727173,
            0.8833596110343933,
            0.9957029223442078,
            0.150175079703331,
            0.9998432397842407,
            0.9937664270401001,
            0.6764500141143799,
            0.8286989331245422,
            0.9984079003334045,
            0.9999899864196777,
            0.9884868860244751,
            0.9792146682739258,
            0.9994243383407593,
            0.2555789649486542,
            0.8536803722381592,
            0.9992557168006897,
            0.9788174033164978,
            0.9965229034423828,
            0.9877134561538696,
            0.9979069232940674,
            0.8417850732803345,
            0.9946957230567932,
            0.9472989439964294,
            0.022070081904530525,
            0.9694492220878601,
            0.45721665024757385
        ],
        "eval_quote_attribution_runtime": 14.5602,
        "eval_quote_attribution_samples_per_second": 6.868,
        "eval_quote_attribution_steps_per_second": 0.137,
        "epoch": 2.63,
        "step": 50
    },
    {
        "loss": 0.2307,
        "learning_rate": 0.0002,
        "epoch": 2.68,
        "step": 51
    },
    {
        "loss": 0.2822,
        "learning_rate": 0.0002,
        "epoch": 2.74,
        "step": 52
    },
    {
        "loss": 0.4234,
        "learning_rate": 0.0002,
        "epoch": 2.79,
        "step": 53
    },
    {
        "loss": 0.1328,
        "learning_rate": 0.0002,
        "epoch": 2.84,
        "step": 54
    },
    {
        "loss": 0.2677,
        "learning_rate": 0.0002,
        "epoch": 2.89,
        "step": 55
    },
    {
        "loss": 0.5528,
        "learning_rate": 0.0002,
        "epoch": 2.95,
        "step": 56
    },
    {
        "loss": 0.2496,
        "learning_rate": 0.0002,
        "epoch": 3.0,
        "step": 57
    },
    {
        "loss": 0.3588,
        "learning_rate": 0.0002,
        "epoch": 3.05,
        "step": 58
    },
    {
        "loss": 0.2189,
        "learning_rate": 0.0002,
        "epoch": 3.11,
        "step": 59
    },
    {
        "loss": 0.1681,
        "learning_rate": 0.0002,
        "epoch": 3.16,
        "step": 60
    },
    {
        "loss": 0.1513,
        "learning_rate": 0.0002,
        "epoch": 3.21,
        "step": 61
    },
    {
        "loss": 0.3061,
        "learning_rate": 0.0002,
        "epoch": 3.26,
        "step": 62
    },
    {
        "loss": 0.1747,
        "learning_rate": 0.0002,
        "epoch": 3.32,
        "step": 63
    },
    {
        "loss": 0.7051,
        "learning_rate": 0.0002,
        "epoch": 3.37,
        "step": 64
    },
    {
        "loss": 0.3258,
        "learning_rate": 0.0002,
        "epoch": 3.42,
        "step": 65
    },
    {
        "loss": 0.2501,
        "learning_rate": 0.0002,
        "epoch": 3.47,
        "step": 66
    },
    {
        "loss": 0.3557,
        "learning_rate": 0.0002,
        "epoch": 3.53,
        "step": 67
    },
    {
        "loss": 0.2547,
        "learning_rate": 0.0002,
        "epoch": 3.58,
        "step": 68
    },
    {
        "loss": 0.3042,
        "learning_rate": 0.0002,
        "epoch": 3.63,
        "step": 69
    },
    {
        "loss": 0.2302,
        "learning_rate": 0.0002,
        "epoch": 3.68,
        "step": 70
    },
    {
        "loss": 0.3719,
        "learning_rate": 0.0002,
        "epoch": 3.74,
        "step": 71
    },
    {
        "loss": 0.1577,
        "learning_rate": 0.0002,
        "epoch": 3.79,
        "step": 72
    },
    {
        "loss": 0.2379,
        "learning_rate": 0.0002,
        "epoch": 3.84,
        "step": 73
    },
    {
        "loss": 0.1758,
        "learning_rate": 0.0002,
        "epoch": 3.89,
        "step": 74
    },
    {
        "loss": 0.2782,
        "learning_rate": 0.0002,
        "epoch": 3.95,
        "step": 75
    },
    {
        "eval_quote_attribution_loss": 0.26001179218292236,
        "eval_quote_attribution_score": -0.08528769761323929,
        "eval_quote_attribution_brier_score": 0.08528769761323929,
        "eval_quote_attribution_average_probability": 0.8168715834617615,
        "eval_quote_attribution_accuracy": 0.89,
        "eval_quote_attribution_probabilities": [
            0.9026296138763428,
            0.1851932406425476,
            0.9768511652946472,
            0.4401264786720276,
            0.8363838195800781,
            0.8475701808929443,
            0.9538756012916565,
            0.9998526573181152,
            0.9873288869857788,
            0.9786556959152222,
            0.999768078327179,
            0.9965505599975586,
            0.7447078824043274,
            0.9885498881340027,
            0.2625715136528015,
            0.9957558512687683,
            0.9653661251068115,
            0.9227031469345093,
            0.9769460558891296,
            0.8824784159660339,
            0.9924226403236389,
            0.7130450010299683,
            0.9792454242706299,
            0.9994041919708252,
            0.6425893306732178,
            0.7295198440551758,
            0.9447097778320312,
            0.8904377818107605,
            0.9716805815696716,
            0.9999940395355225,
            0.9534645676612854,
            0.9940650463104248,
            0.6751196384429932,
            0.23568245768547058,
            0.7629656791687012,
            0.6381295919418335,
            0.893238365650177,
            0.9958881735801697,
            0.9216209053993225,
            0.9992305040359497,
            0.7711086273193359,
            0.85187166929245,
            0.7716799378395081,
            0.8794398903846741,
            0.46626409888267517,
            0.14490152895450592,
            0.9684292674064636,
            0.733173668384552,
            0.8834093809127808,
            0.5463492274284363,
            0.9875890612602234,
            0.984916627407074,
            0.9804478883743286,
            0.8795258402824402,
            0.9703794121742249,
            0.9997115731239319,
            0.5106987953186035,
            0.5688933730125427,
            0.9016174077987671,
            0.9948227405548096,
            0.5480153560638428,
            0.13955558836460114,
            0.997481644153595,
            0.4037991166114807,
            0.9725149869918823,
            0.8801470994949341,
            0.9700154066085815,
            0.5698285698890686,
            0.9974080920219421,
            0.9997511506080627,
            0.7093798518180847,
            0.7934067845344543,
            0.41924339532852173,
            0.7720069289207458,
            0.9965391159057617,
            0.6835947036743164,
            0.9877316355705261,
            0.5307928919792175,
            0.9996629953384399,
            0.9944919347763062,
            0.8758867383003235,
            0.9088449478149414,
            0.9994428753852844,
            0.999991774559021,
            0.7853628396987915,
            0.9889209270477295,
            0.9977598190307617,
            0.4099595844745636,
            0.7633507251739502,
            0.9992504715919495,
            0.9958760142326355,
            0.8863640427589417,
            0.9793367385864258,
            0.9934154748916626,
            0.7374902367591858,
            0.9700621962547302,
            0.882457435131073,
            0.22204913198947906,
            0.8173033595085144,
            0.5371173620223999
        ],
        "eval_quote_attribution_runtime": 14.5681,
        "eval_quote_attribution_samples_per_second": 6.864,
        "eval_quote_attribution_steps_per_second": 0.137,
        "epoch": 3.95,
        "step": 75
    },
    {
        "loss": 0.2524,
        "learning_rate": 0.0002,
        "epoch": 4.0,
        "step": 76
    },
    {
        "loss": 0.1857,
        "learning_rate": 0.0002,
        "epoch": 4.05,
        "step": 77
    },
    {
        "loss": 0.0754,
        "learning_rate": 0.0002,
        "epoch": 4.11,
        "step": 78
    },
    {
        "loss": 0.1613,
        "learning_rate": 0.0002,
        "epoch": 4.16,
        "step": 79
    },
    {
        "loss": 0.138,
        "learning_rate": 0.0002,
        "epoch": 4.21,
        "step": 80
    },
    {
        "loss": 0.3025,
        "learning_rate": 0.0002,
        "epoch": 4.26,
        "step": 81
    },
    {
        "loss": 0.105,
        "learning_rate": 0.0002,
        "epoch": 4.32,
        "step": 82
    },
    {
        "loss": 0.2233,
        "learning_rate": 0.0002,
        "epoch": 4.37,
        "step": 83
    },
    {
        "loss": 0.4177,
        "learning_rate": 0.0002,
        "epoch": 4.42,
        "step": 84
    },
    {
        "loss": 0.1342,
        "learning_rate": 0.0002,
        "epoch": 4.47,
        "step": 85
    },
    {
        "loss": 0.1978,
        "learning_rate": 0.0002,
        "epoch": 4.53,
        "step": 86
    },
    {
        "loss": 0.0881,
        "learning_rate": 0.0002,
        "epoch": 4.58,
        "step": 87
    },
    {
        "loss": 0.278,
        "learning_rate": 0.0002,
        "epoch": 4.63,
        "step": 88
    },
    {
        "loss": 0.1715,
        "learning_rate": 0.0002,
        "epoch": 4.68,
        "step": 89
    },
    {
        "loss": 0.151,
        "learning_rate": 0.0002,
        "epoch": 4.74,
        "step": 90
    },
    {
        "loss": 0.1379,
        "learning_rate": 0.0002,
        "epoch": 4.79,
        "step": 91
    },
    {
        "loss": 0.1585,
        "learning_rate": 0.0002,
        "epoch": 4.84,
        "step": 92
    },
    {
        "loss": 0.0984,
        "learning_rate": 0.0002,
        "epoch": 4.89,
        "step": 93
    },
    {
        "loss": 0.0954,
        "learning_rate": 0.0002,
        "epoch": 4.95,
        "step": 94
    },
    {
        "loss": 0.1645,
        "learning_rate": 0.0002,
        "epoch": 5.0,
        "step": 95
    },
    {
        "loss": 0.0976,
        "learning_rate": 0.0002,
        "epoch": 5.05,
        "step": 96
    },
    {
        "loss": 0.0487,
        "learning_rate": 0.0002,
        "epoch": 5.11,
        "step": 97
    },
    {
        "loss": 0.0413,
        "learning_rate": 0.0002,
        "epoch": 5.16,
        "step": 98
    },
    {
        "loss": 0.1954,
        "learning_rate": 0.0002,
        "epoch": 5.21,
        "step": 99
    },
    {
        "loss": 0.0346,
        "learning_rate": 0.0002,
        "epoch": 5.26,
        "step": 100
    },
    {
        "eval_quote_attribution_loss": 0.3599839508533478,
        "eval_quote_attribution_score": -0.10510585457086563,
        "eval_quote_attribution_brier_score": 0.10510585457086563,
        "eval_quote_attribution_average_probability": 0.8306464552879333,
        "eval_quote_attribution_accuracy": 0.85,
        "eval_quote_attribution_probabilities": [
            0.9992765784263611,
            0.28390198945999146,
            0.990900993347168,
            0.45075294375419617,
            0.3492777943611145,
            0.9984502792358398,
            0.9445596933364868,
            0.9942185878753662,
            0.9969722032546997,
            0.992466151714325,
            0.998611569404602,
            0.9973504543304443,
            0.9592073559761047,
            0.99977046251297,
            0.7703073024749756,
            0.9986199140548706,
            0.9545236825942993,
            0.9561163187026978,
            0.8402053117752075,
            0.6840088367462158,
            0.9999091625213623,
            0.9983439445495605,
            0.9908946752548218,
            0.9997195601463318,
            0.42451944947242737,
            0.573303759098053,
            0.9977748990058899,
            0.6849521994590759,
            0.9999692440032959,
            0.9999998807907104,
            0.9983345866203308,
            0.9958279728889465,
            0.9304934740066528,
            0.005678042769432068,
            0.9995090961456299,
            0.7211510539054871,
            0.9996688365936279,
            0.999981164932251,
            0.931464672088623,
            0.980169951915741,
            0.9902687072753906,
            0.6067255735397339,
            0.992051362991333,
            0.9783447980880737,
            0.0010329392971470952,
            0.6434565782546997,
            0.9944517016410828,
            0.3135684132575989,
            0.7568038702011108,
            0.8766343593597412,
            0.9999866485595703,
            0.577447772026062,
            0.9989136457443237,
            0.6557362079620361,
            0.9996137022972107,
            0.9999902248382568,
            0.9171779751777649,
            0.9960963129997253,
            0.9912585616111755,
            0.9999946355819702,
            0.28503158688545227,
            0.9179512858390808,
            0.9990841150283813,
            0.25173652172088623,
            0.968471884727478,
            0.9983065128326416,
            0.989474356174469,
            0.774908721446991,
            0.9996628761291504,
            0.999954342842102,
            0.9592410326004028,
            0.9524649977684021,
            0.13191652297973633,
            0.9956117272377014,
            0.9875655770301819,
            0.8039676547050476,
            0.980216920375824,
            0.28019583225250244,
            0.9999899864196777,
            0.9999717473983765,
            0.6315051913261414,
            0.9928225874900818,
            0.9998170733451843,
            0.9880472421646118,
            0.8217127919197083,
            0.9996758699417114,
            0.9998898506164551,
            0.15411104261875153,
            0.9987577199935913,
            0.9999146461486816,
            0.9998713731765747,
            0.35211181640625,
            0.9824928045272827,
            0.2578616440296173,
            0.9802077412605286,
            0.9736130237579346,
            0.9994499087333679,
            0.017336532473564148,
            0.9996139407157898,
            0.9593958258628845
        ],
        "eval_quote_attribution_runtime": 14.5587,
        "eval_quote_attribution_samples_per_second": 6.869,
        "eval_quote_attribution_steps_per_second": 0.137,
        "epoch": 5.26,
        "step": 100
    },
    {
        "train_runtime": 927.5167,
        "train_samples_per_second": 3.45,
        "train_steps_per_second": 0.108,
        "total_flos": 0.0,
        "train_loss": 0.3390199049934745,
        "epoch": 5.26,
        "step": 100
    }
]]