[
    {
        "loss": 0.707,
        "learning_rate": 0.0002,
        "epoch": 0.05,
        "step": 1
    },
    {
        "loss": 0.6703,
        "learning_rate": 0.0002,
        "epoch": 0.11,
        "step": 2
    },
    {
        "loss": 0.6967,
        "learning_rate": 0.0002,
        "epoch": 0.16,
        "step": 3
    },
    {
        "loss": 0.685,
        "learning_rate": 0.0002,
        "epoch": 0.21,
        "step": 4
    },
    {
        "loss": 0.682,
        "learning_rate": 0.0002,
        "epoch": 0.26,
        "step": 5
    },
    {
        "loss": 0.6038,
        "learning_rate": 0.0002,
        "epoch": 0.32,
        "step": 6
    },
    {
        "loss": 0.6138,
        "learning_rate": 0.0002,
        "epoch": 0.37,
        "step": 7
    },
    {
        "loss": 0.6577,
        "learning_rate": 0.0002,
        "epoch": 0.42,
        "step": 8
    },
    {
        "loss": 0.5438,
        "learning_rate": 0.0002,
        "epoch": 0.47,
        "step": 9
    },
    {
        "loss": 0.5512,
        "learning_rate": 0.0002,
        "epoch": 0.53,
        "step": 10
    },
    {
        "loss": 0.479,
        "learning_rate": 0.0002,
        "epoch": 0.58,
        "step": 11
    },
    {
        "loss": 0.4623,
        "learning_rate": 0.0002,
        "epoch": 0.63,
        "step": 12
    },
    {
        "loss": 0.4422,
        "learning_rate": 0.0002,
        "epoch": 0.68,
        "step": 13
    },
    {
        "loss": 0.5196,
        "learning_rate": 0.0002,
        "epoch": 0.74,
        "step": 14
    },
    {
        "loss": 0.3411,
        "learning_rate": 0.0002,
        "epoch": 0.79,
        "step": 15
    },
    {
        "loss": 0.4444,
        "learning_rate": 0.0002,
        "epoch": 0.84,
        "step": 16
    },
    {
        "loss": 0.1711,
        "learning_rate": 0.0002,
        "epoch": 0.89,
        "step": 17
    },
    {
        "loss": 0.4954,
        "learning_rate": 0.0002,
        "epoch": 0.95,
        "step": 18
    },
    {
        "loss": 0.3889,
        "learning_rate": 0.0002,
        "epoch": 1.0,
        "step": 19
    },
    {
        "loss": 0.2282,
        "learning_rate": 0.0002,
        "epoch": 1.05,
        "step": 20
    },
    {
        "loss": 0.1157,
        "learning_rate": 0.0002,
        "epoch": 1.11,
        "step": 21
    },
    {
        "loss": 0.2022,
        "learning_rate": 0.0002,
        "epoch": 1.16,
        "step": 22
    },
    {
        "loss": 0.1762,
        "learning_rate": 0.0002,
        "epoch": 1.21,
        "step": 23
    },
    {
        "loss": 0.0903,
        "learning_rate": 0.0002,
        "epoch": 1.26,
        "step": 24
    },
    {
        "loss": 0.2237,
        "learning_rate": 0.0002,
        "epoch": 1.32,
        "step": 25
    },
    {
        "eval_wrong_arc_loss": 0.31779786944389343,
        "eval_wrong_arc_score": -0.09653245657682419,
        "eval_wrong_arc_brier_score": 0.09653245657682419,
        "eval_wrong_arc_average_probability": 0.850647509098053,
        "eval_wrong_arc_accuracy": 0.87,
        "eval_wrong_arc_probabilities": [
            0.9949164390563965,
            0.9353755712509155,
            0.7644833922386169,
            0.9593828916549683,
            0.697745680809021,
            0.9824218153953552,
            0.9620522856712341,
            0.9999982118606567,
            0.9999933242797852,
            0.9914826154708862,
            0.9999730587005615,
            0.0027928014751523733,
            0.999648928642273,
            0.9999988079071045,
            0.2169899195432663,
            0.14227867126464844,
            0.9830546975135803,
            0.08066574484109879,
            0.9953468441963196,
            0.999848484992981,
            0.3419247269630432,
            0.9998832941055298,
            0.9928345680236816,
            0.9999328851699829,
            0.7026811838150024,
            0.9999877214431763,
            0.9439877867698669,
            0.9234603047370911,
            0.993335485458374,
            0.9999537467956543,
            0.999914288520813,
            0.978789210319519,
            0.9999513626098633,
            0.8677543997764587,
            0.9819746613502502,
            0.994938850402832,
            0.9999839067459106,
            0.7330987453460693,
            0.9999618530273438,
            0.9975399971008301,
            0.8879246711730957,
            0.9973451495170593,
            0.9998656511306763,
            0.9988055229187012,
            0.9999786615371704,
            0.8484535813331604,
            0.9999874830245972,
            0.09196758270263672,
            0.8213191628456116,
            0.7427552938461304,
            0.22687996923923492,
            0.9859835505485535,
            0.9945969581604004,
            0.9998565912246704,
            0.9992465972900391,
            0.9995290040969849,
            0.9784048199653625,
            0.9979854822158813,
            0.9431190490722656,
            0.9343425631523132,
            0.9915185570716858,
            0.2861595153808594,
            0.9942342638969421,
            0.9299052357673645,
            0.9991299510002136,
            0.9999862909317017,
            0.9772287607192993,
            0.9494120478630066,
            0.9998931884765625,
            0.8808120489120483,
            0.9999508857727051,
            0.7354373931884766,
            0.9986085295677185,
            0.571506917476654,
            0.9952765703201294,
            0.9269403219223022,
            0.9688220620155334,
            0.9999642372131348,
            0.9966638684272766,
            0.5050497651100159,
            0.73870849609375,
            0.9932193160057068,
            0.997025191783905,
            0.9769225120544434,
            0.08747178316116333,
            0.9999977350234985,
            0.9761525392532349,
            0.3850123882293701,
            0.36245715618133545,
            0.9998225569725037,
            0.9943840503692627,
            0.32138052582740784,
            0.9995785355567932,
            0.9999967813491821,
            0.9982578158378601,
            0.9642506837844849,
            0.9215475916862488,
            0.03343123942613602,
            0.9999994039535522,
            0.9999529123306274
        ],
        "eval_wrong_arc_runtime": 27.1292,
        "eval_wrong_arc_samples_per_second": 3.686,
        "eval_wrong_arc_steps_per_second": 0.147,
        "epoch": 1.32,
        "step": 25
    },
    {
        "loss": 0.2647,
        "learning_rate": 0.0002,
        "epoch": 1.37,
        "step": 26
    },
    {
        "loss": 0.115,
        "learning_rate": 0.0002,
        "epoch": 1.42,
        "step": 27
    },
    {
        "loss": 0.1356,
        "learning_rate": 0.0002,
        "epoch": 1.47,
        "step": 28
    },
    {
        "loss": 0.1851,
        "learning_rate": 0.0002,
        "epoch": 1.53,
        "step": 29
    },
    {
        "loss": 0.1795,
        "learning_rate": 0.0002,
        "epoch": 1.58,
        "step": 30
    },
    {
        "loss": 0.1912,
        "learning_rate": 0.0002,
        "epoch": 1.63,
        "step": 31
    },
    {
        "loss": 0.2682,
        "learning_rate": 0.0002,
        "epoch": 1.68,
        "step": 32
    },
    {
        "loss": 0.1157,
        "learning_rate": 0.0002,
        "epoch": 1.74,
        "step": 33
    },
    {
        "loss": 0.0837,
        "learning_rate": 0.0002,
        "epoch": 1.79,
        "step": 34
    },
    {
        "loss": 0.165,
        "learning_rate": 0.0002,
        "epoch": 1.84,
        "step": 35
    },
    {
        "loss": 0.2499,
        "learning_rate": 0.0002,
        "epoch": 1.89,
        "step": 36
    },
    {
        "loss": 0.2334,
        "learning_rate": 0.0002,
        "epoch": 1.95,
        "step": 37
    },
    {
        "loss": 0.1283,
        "learning_rate": 0.0002,
        "epoch": 2.0,
        "step": 38
    },
    {
        "loss": 0.0602,
        "learning_rate": 0.0002,
        "epoch": 2.05,
        "step": 39
    },
    {
        "loss": 0.0408,
        "learning_rate": 0.0002,
        "epoch": 2.11,
        "step": 40
    },
    {
        "loss": 0.0633,
        "learning_rate": 0.0002,
        "epoch": 2.16,
        "step": 41
    },
    {
        "loss": 0.0492,
        "learning_rate": 0.0002,
        "epoch": 2.21,
        "step": 42
    },
    {
        "loss": 0.0132,
        "learning_rate": 0.0002,
        "epoch": 2.26,
        "step": 43
    },
    {
        "loss": 0.0197,
        "learning_rate": 0.0002,
        "epoch": 2.32,
        "step": 44
    },
    {
        "loss": 0.0572,
        "learning_rate": 0.0002,
        "epoch": 2.37,
        "step": 45
    },
    {
        "loss": 0.0029,
        "learning_rate": 0.0002,
        "epoch": 2.42,
        "step": 46
    },
    {
        "loss": 0.0137,
        "learning_rate": 0.0002,
        "epoch": 2.47,
        "step": 47
    },
    {
        "loss": 0.01,
        "learning_rate": 0.0002,
        "epoch": 2.53,
        "step": 48
    },
    {
        "loss": 0.0089,
        "learning_rate": 0.0002,
        "epoch": 2.58,
        "step": 49
    },
    {
        "loss": 0.0205,
        "learning_rate": 0.0002,
        "epoch": 2.63,
        "step": 50
    },
    {
        "eval_wrong_arc_loss": 0.4763663113117218,
        "eval_wrong_arc_score": -0.09404512494802475,
        "eval_wrong_arc_brier_score": 0.09404512494802475,
        "eval_wrong_arc_average_probability": 0.8855934143066406,
        "eval_wrong_arc_accuracy": 0.88,
        "eval_wrong_arc_probabilities": [
            1.0,
            0.99899822473526,
            0.9932013154029846,
            0.998995840549469,
            1.0,
            0.9999959468841553,
            0.9999867677688599,
            1.0,
            1.0,
            0.9998041987419128,
            1.0,
            1.4548309081874322e-06,
            0.9999998807907104,
            1.0,
            0.9960408210754395,
            0.0234504546970129,
            0.9998432397842407,
            0.005773774813860655,
            1.0,
            0.9999970197677612,
            0.3375290632247925,
            1.0,
            0.9999998807907104,
            1.0,
            0.9240821599960327,
            1.0,
            0.3293816149234772,
            0.9999961853027344,
            0.9999998807907104,
            0.9999995231628418,
            1.0,
            0.999996542930603,
            1.0,
            0.9996373653411865,
            0.9441826939582825,
            0.9999996423721313,
            1.0,
            0.989042341709137,
            0.9999955892562866,
            0.9999998807907104,
            1.0,
            0.9999998807907104,
            0.9999997615814209,
            1.0,
            1.0,
            0.4591082036495209,
            1.0,
            0.08987987041473389,
            0.9349956512451172,
            0.7867553234100342,
            0.7942191958427429,
            0.9996621608734131,
            0.9999998807907104,
            0.9999998807907104,
            0.9999914169311523,
            0.9967323541641235,
            0.9999876022338867,
            1.0,
            0.9900093078613281,
            0.9892578721046448,
            0.9999821186065674,
            0.04106198996305466,
            0.9999974966049194,
            0.9999639987945557,
            1.0,
            1.0,
            0.9986782670021057,
            0.9997395873069763,
            1.0,
            0.9481080770492554,
            0.999998927116394,
            0.9999971389770508,
            0.9992423057556152,
            0.8539270758628845,
            0.9998891353607178,
            0.9936362504959106,
            0.9999405145645142,
            0.9999992847442627,
            0.9999995231628418,
            0.9999629259109497,
            0.9887006878852844,
            0.9999761581420898,
            0.999996542930603,
            0.9935442209243774,
            0.008169939741492271,
            1.0,
            0.9999994039535522,
            0.8693860769271851,
            0.259015291929245,
            0.9999996423721313,
            0.9999901056289673,
            0.07492787390947342,
            0.9999983310699463,
            1.0,
            0.9999576807022095,
            0.9535649418830872,
            0.9974631071090698,
            1.7836279084804119e-06,
            1.0,
            1.0
        ],
        "eval_wrong_arc_runtime": 27.1222,
        "eval_wrong_arc_samples_per_second": 3.687,
        "eval_wrong_arc_steps_per_second": 0.147,
        "epoch": 2.63,
        "step": 50
    },
    {
        "loss": 0.0104,
        "learning_rate": 0.0002,
        "epoch": 2.68,
        "step": 51
    },
    {
        "loss": 0.0094,
        "learning_rate": 0.0002,
        "epoch": 2.74,
        "step": 52
    },
    {
        "loss": 0.0256,
        "learning_rate": 0.0002,
        "epoch": 2.79,
        "step": 53
    },
    {
        "loss": 0.0183,
        "learning_rate": 0.0002,
        "epoch": 2.84,
        "step": 54
    },
    {
        "loss": 0.0059,
        "learning_rate": 0.0002,
        "epoch": 2.89,
        "step": 55
    },
    {
        "loss": 0.0012,
        "learning_rate": 0.0002,
        "epoch": 2.95,
        "step": 56
    },
    {
        "loss": 0.0016,
        "learning_rate": 0.0002,
        "epoch": 3.0,
        "step": 57
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.05,
        "step": 58
    },
    {
        "loss": 0.0004,
        "learning_rate": 0.0002,
        "epoch": 3.11,
        "step": 59
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.16,
        "step": 60
    },
    {
        "loss": 0.001,
        "learning_rate": 0.0002,
        "epoch": 3.21,
        "step": 61
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.26,
        "step": 62
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.32,
        "step": 63
    },
    {
        "loss": 0.0006,
        "learning_rate": 0.0002,
        "epoch": 3.37,
        "step": 64
    },
    {
        "loss": 0.0011,
        "learning_rate": 0.0002,
        "epoch": 3.42,
        "step": 65
    },
    {
        "loss": 0.0025,
        "learning_rate": 0.0002,
        "epoch": 3.47,
        "step": 66
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.53,
        "step": 67
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 3.58,
        "step": 68
    },
    {
        "loss": 0.0007,
        "learning_rate": 0.0002,
        "epoch": 3.63,
        "step": 69
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 3.68,
        "step": 70
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 3.74,
        "step": 71
    },
    {
        "loss": 0.0005,
        "learning_rate": 0.0002,
        "epoch": 3.79,
        "step": 72
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 3.84,
        "step": 73
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 3.89,
        "step": 74
    },
    {
        "loss": 0.0013,
        "learning_rate": 0.0002,
        "epoch": 3.95,
        "step": 75
    },
    {
        "eval_wrong_arc_loss": 0.5926003456115723,
        "eval_wrong_arc_score": -0.07276186347007751,
        "eval_wrong_arc_brier_score": 0.07276186347007751,
        "eval_wrong_arc_average_probability": 0.9136401414871216,
        "eval_wrong_arc_accuracy": 0.92,
        "eval_wrong_arc_probabilities": [
            1.0,
            0.9999997615814209,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999967813491821,
            1.0,
            1.0,
            1.0,
            1.0,
            9.088809633794881e-07,
            1.0,
            1.0,
            0.9973475933074951,
            0.029377752915024757,
            1.0,
            9.702794123711556e-10,
            1.0,
            1.0,
            0.7551511526107788,
            1.0,
            1.0,
            1.0,
            0.999847412109375,
            1.0,
            0.8491736054420471,
            0.9995237588882446,
            1.0,
            1.0,
            0.9999997615814209,
            1.0,
            1.0,
            0.9999996423721313,
            0.9994509816169739,
            1.0,
            1.0,
            0.9935528039932251,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999997615814209,
            1.0,
            0.10383431613445282,
            0.802496612071991,
            0.9888101816177368,
            0.7771538496017456,
            0.9999984502792358,
            1.0,
            1.0,
            1.0,
            0.9999998807907104,
            0.9999727010726929,
            1.0,
            0.9999934434890747,
            0.9999992847442627,
            1.0,
            0.23791329562664032,
            0.9999997615814209,
            1.0,
            1.0,
            1.0,
            0.9999957084655762,
            0.9999734163284302,
            1.0,
            0.869653582572937,
            1.0,
            0.9999969005584717,
            0.9999442100524902,
            0.8350331783294678,
            1.0,
            0.999065101146698,
            1.0,
            1.0,
            1.0,
            0.9999904632568359,
            0.9983235001564026,
            1.0,
            0.9986498951911926,
            0.9999990463256836,
            0.9886378645896912,
            1.0,
            1.0,
            0.999653697013855,
            0.00734851835295558,
            1.0,
            1.0,
            0.13457897305488586,
            1.0,
            1.0,
            1.0,
            0.9995729327201843,
            1.0,
            1.7961000742250377e-10,
            1.0,
            1.0
        ],
        "eval_wrong_arc_runtime": 27.1293,
        "eval_wrong_arc_samples_per_second": 3.686,
        "eval_wrong_arc_steps_per_second": 0.147,
        "epoch": 3.95,
        "step": 75
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.0,
        "step": 76
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.05,
        "step": 77
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.11,
        "step": 78
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.16,
        "step": 79
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.21,
        "step": 80
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.26,
        "step": 81
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.32,
        "step": 82
    },
    {
        "loss": 0.0005,
        "learning_rate": 0.0002,
        "epoch": 4.37,
        "step": 83
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.42,
        "step": 84
    },
    {
        "loss": 0.0004,
        "learning_rate": 0.0002,
        "epoch": 4.47,
        "step": 85
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.53,
        "step": 86
    },
    {
        "loss": 0.0003,
        "learning_rate": 0.0002,
        "epoch": 4.58,
        "step": 87
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.63,
        "step": 88
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.68,
        "step": 89
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 4.74,
        "step": 90
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.79,
        "step": 91
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.84,
        "step": 92
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.89,
        "step": 93
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 4.95,
        "step": 94
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.0,
        "step": 95
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.05,
        "step": 96
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.11,
        "step": 97
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.16,
        "step": 98
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 5.21,
        "step": 99
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.26,
        "step": 100
    },
    {
        "eval_wrong_arc_loss": 0.5509288311004639,
        "eval_wrong_arc_score": -0.07344645261764526,
        "eval_wrong_arc_brier_score": 0.07344645261764526,
        "eval_wrong_arc_average_probability": 0.9117353558540344,
        "eval_wrong_arc_accuracy": 0.92,
        "eval_wrong_arc_probabilities": [
            1.0,
            0.9999996423721313,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999953508377075,
            1.0,
            1.0,
            1.0,
            1.0,
            1.6129989717228455e-06,
            1.0,
            1.0,
            0.9919439554214478,
            0.018666794523596764,
            1.0,
            1.2420014350311703e-08,
            1.0,
            0.9999996423721313,
            0.8571034073829651,
            1.0,
            1.0,
            1.0,
            0.9987161159515381,
            1.0,
            0.6483784914016724,
            0.9997910857200623,
            1.0,
            1.0,
            0.9999966621398926,
            1.0,
            1.0,
            0.9999996423721313,
            0.9997026324272156,
            1.0,
            1.0,
            0.9978145360946655,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999991655349731,
            1.0,
            0.1459464579820633,
            0.6189136505126953,
            0.9851900935173035,
            0.7363576292991638,
            0.9999982118606567,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999840259552002,
            1.0,
            0.9999675750732422,
            0.9999966621398926,
            1.0,
            0.20978191494941711,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999326467514038,
            0.9999445676803589,
            1.0,
            0.8867464661598206,
            1.0,
            0.9999626874923706,
            0.9998075366020203,
            0.9183639287948608,
            1.0,
            0.9977478384971619,
            1.0,
            1.0,
            1.0,
            0.9999990463256836,
            0.9991897940635681,
            1.0,
            0.9972585439682007,
            0.9999983310699463,
            0.976452648639679,
            1.0,
            1.0,
            0.9989743232727051,
            0.013659379445016384,
            1.0,
            1.0,
            0.17794698476791382,
            1.0,
            1.0,
            1.0,
            0.9993108510971069,
            1.0,
            2.26134377889764e-09,
            1.0,
            1.0
        ],
        "eval_wrong_arc_runtime": 27.1216,
        "eval_wrong_arc_samples_per_second": 3.687,
        "eval_wrong_arc_steps_per_second": 0.147,
        "epoch": 5.26,
        "step": 100
    },
    {
        "loss": 0.0001,
        "learning_rate": 0.0002,
        "epoch": 5.32,
        "step": 101
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.37,
        "step": 102
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.42,
        "step": 103
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.47,
        "step": 104
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.53,
        "step": 105
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.58,
        "step": 106
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.63,
        "step": 107
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.68,
        "step": 108
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.74,
        "step": 109
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.79,
        "step": 110
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.84,
        "step": 111
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.89,
        "step": 112
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 5.95,
        "step": 113
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.0,
        "step": 114
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.05,
        "step": 115
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.11,
        "step": 116
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.16,
        "step": 117
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.21,
        "step": 118
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.26,
        "step": 119
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.32,
        "step": 120
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.37,
        "step": 121
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.42,
        "step": 122
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.47,
        "step": 123
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.53,
        "step": 124
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.58,
        "step": 125
    },
    {
        "eval_wrong_arc_loss": 0.5689963698387146,
        "eval_wrong_arc_score": -0.0729750245809555,
        "eval_wrong_arc_brier_score": 0.0729750245809555,
        "eval_wrong_arc_average_probability": 0.91292405128479,
        "eval_wrong_arc_accuracy": 0.92,
        "eval_wrong_arc_probabilities": [
            1.0,
            0.9999998807907104,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999984502792358,
            1.0,
            1.0,
            1.0,
            1.0,
            3.220020516891964e-07,
            1.0,
            1.0,
            0.9938602447509766,
            0.010313266888260841,
            1.0,
            2.105494800730412e-08,
            1.0,
            0.9999998807907104,
            0.8445565700531006,
            1.0,
            1.0,
            1.0,
            0.9979133009910583,
            1.0,
            0.6891838312149048,
            0.9998979568481445,
            1.0,
            1.0,
            0.9999984502792358,
            1.0,
            1.0,
            0.9999992847442627,
            0.9992020726203918,
            1.0,
            1.0,
            0.9966176152229309,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999995231628418,
            1.0,
            0.14272429049015045,
            0.6626131534576416,
            0.9902004599571228,
            0.7526479959487915,
            0.9999991655349731,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999927282333374,
            1.0,
            0.9999755620956421,
            0.9999974966049194,
            1.0,
            0.22156904637813568,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999606609344482,
            0.9999654293060303,
            1.0,
            0.9209628105163574,
            1.0,
            0.9999822378158569,
            0.9999001026153564,
            0.926228404045105,
            1.0,
            0.9985692501068115,
            1.0,
            1.0,
            1.0,
            0.9999996423721313,
            0.9996111989021301,
            1.0,
            0.9991627931594849,
            0.9999974966049194,
            0.9701893329620361,
            1.0,
            1.0,
            0.9993740916252136,
            0.01545325480401516,
            1.0,
            1.0,
            0.16376018524169922,
            1.0,
            1.0,
            1.0,
            0.9980265498161316,
            1.0,
            2.4979855961504427e-09,
            1.0,
            1.0
        ],
        "eval_wrong_arc_runtime": 27.1003,
        "eval_wrong_arc_samples_per_second": 3.69,
        "eval_wrong_arc_steps_per_second": 0.148,
        "epoch": 6.58,
        "step": 125
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.63,
        "step": 126
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.68,
        "step": 127
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.74,
        "step": 128
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.79,
        "step": 129
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.84,
        "step": 130
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.89,
        "step": 131
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 6.95,
        "step": 132
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.0,
        "step": 133
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.05,
        "step": 134
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.11,
        "step": 135
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.16,
        "step": 136
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.21,
        "step": 137
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.26,
        "step": 138
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.32,
        "step": 139
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.37,
        "step": 140
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.42,
        "step": 141
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.47,
        "step": 142
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.53,
        "step": 143
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.58,
        "step": 144
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.63,
        "step": 145
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.68,
        "step": 146
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.74,
        "step": 147
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.79,
        "step": 148
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.84,
        "step": 149
    },
    {
        "loss": 0.0,
        "learning_rate": 0.0002,
        "epoch": 7.89,
        "step": 150
    },
    {
        "eval_wrong_arc_loss": 0.5786136984825134,
        "eval_wrong_arc_score": -0.0726059228181839,
        "eval_wrong_arc_brier_score": 0.0726059228181839,
        "eval_wrong_arc_average_probability": 0.9138116240501404,
        "eval_wrong_arc_accuracy": 0.92,
        "eval_wrong_arc_probabilities": [
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999992847442627,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0384997040091548e-07,
            1.0,
            1.0,
            0.9941185712814331,
            0.00717101339250803,
            1.0,
            3.6523953639289175e-08,
            1.0,
            0.9999998807907104,
            0.8171164393424988,
            1.0,
            1.0,
            1.0,
            0.997463583946228,
            1.0,
            0.7272890210151672,
            0.9999433755874634,
            1.0,
            1.0,
            0.9999991655349731,
            1.0,
            1.0,
            0.9999983310699463,
            0.9981958270072937,
            1.0,
            1.0,
            0.9946656227111816,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999996423721313,
            1.0,
            0.1446363925933838,
            0.7109227776527405,
            0.9918368458747864,
            0.7632880806922913,
            0.9999995231628418,
            1.0,
            1.0,
            1.0,
            0.9999998807907104,
            0.999996542930603,
            1.0,
            0.9999793767929077,
            0.9999978542327881,
            1.0,
            0.22515763342380524,
            1.0,
            1.0,
            1.0,
            1.0,
            0.9999756813049316,
            0.9999755620956421,
            1.0,
            0.9459772109985352,
            1.0,
            0.9999910593032837,
            0.9999386072158813,
            0.9337203502655029,
            1.0,
            0.9990092515945435,
            1.0,
            1.0,
            1.0,
            0.9999997615814209,
            0.999772846698761,
            1.0,
            0.9996604919433594,
            0.999996542930603,
            0.9684516191482544,
            1.0,
            1.0,
            0.9995811581611633,
            0.01707574352622032,
            1.0,
            1.0,
            0.1509828120470047,
            1.0,
            1.0,
            1.0,
            0.995280921459198,
            0.9999998807907104,
            3.5318605817735715e-09,
            1.0,
            1.0
        ],
        "eval_wrong_arc_runtime": 27.097,
        "eval_wrong_arc_samples_per_second": 3.69,
        "eval_wrong_arc_steps_per_second": 0.148,
        "epoch": 7.89,
        "step": 150
    },
    {
        "train_runtime": 3186.2345,
        "train_samples_per_second": 1.506,
        "train_steps_per_second": 0.047,
        "total_flos": 0.0,
        "train_loss": 0.09300446018680494,
        "epoch": 7.89,
        "step": 150
    }
]]