{
    "epoch": 4.9728,
    "eval_validation.parquet_accuracy": 0.8558,
    "eval_validation.parquet_accuracy__0": 0.8627450980392157,
    "eval_validation.parquet_accuracy__1": 0.7607361963190185,
    "eval_validation.parquet_accuracy__10": 0.9035294117647059,
    "eval_validation.parquet_accuracy__11": 0.8764478764478765,
    "eval_validation.parquet_accuracy__12": 0.8980667838312829,
    "eval_validation.parquet_accuracy__13": 0.7473118279569892,
    "eval_validation.parquet_accuracy__14": 0.839943342776204,
    "eval_validation.parquet_accuracy__15": 0.8427947598253275,
    "eval_validation.parquet_accuracy__16": 0.830945558739255,
    "eval_validation.parquet_accuracy__17": 0.839527027027027,
    "eval_validation.parquet_accuracy__18": 0.8801369863013698,
    "eval_validation.parquet_accuracy__19": 0.8117647058823529,
    "eval_validation.parquet_accuracy__2": 0.7860696517412935,
    "eval_validation.parquet_accuracy__20": 0.7633802816901408,
    "eval_validation.parquet_accuracy__21": 0.9289617486338798,
    "eval_validation.parquet_accuracy__22": 0.8562691131498471,
    "eval_validation.parquet_accuracy__23": 0.8805460750853242,
    "eval_validation.parquet_accuracy__3": 0.8660714285714286,
    "eval_validation.parquet_accuracy__4": 0.8530884808013356,
    "eval_validation.parquet_accuracy__5": 0.8694029850746269,
    "eval_validation.parquet_accuracy__6": 0.900117508813161,
    "eval_validation.parquet_accuracy__7": 0.7741935483870968,
    "eval_validation.parquet_accuracy__8": 0.8904494382022472,
    "eval_validation.parquet_accuracy__9": 0.8669833729216152,
    "eval_validation.parquet_accuracy_conf50": 0.8663669799754802,
    "eval_validation.parquet_accuracy_conf50__0": 0.8712871287128713,
    "eval_validation.parquet_accuracy_conf50__1": 0.7711598746081505,
    "eval_validation.parquet_accuracy_conf50__10": 0.9078014184397163,
    "eval_validation.parquet_accuracy_conf50__11": 0.8823529411764706,
    "eval_validation.parquet_accuracy_conf50__12": 0.9089285714285714,
    "eval_validation.parquet_accuracy_conf50__13": 0.7828571428571428,
    "eval_validation.parquet_accuracy_conf50__14": 0.8511560693641619,
    "eval_validation.parquet_accuracy_conf50__15": 0.8565022421524664,
    "eval_validation.parquet_accuracy_conf50__16": 0.8357771260997068,
    "eval_validation.parquet_accuracy_conf50__17": 0.8456260720411664,
    "eval_validation.parquet_accuracy_conf50__18": 0.8858131487889274,
    "eval_validation.parquet_accuracy_conf50__19": 0.8277945619335347,
    "eval_validation.parquet_accuracy_conf50__2": 0.8041237113402062,
    "eval_validation.parquet_accuracy_conf50__20": 0.7794117647058824,
    "eval_validation.parquet_accuracy_conf50__21": 0.9312242090784044,
    "eval_validation.parquet_accuracy_conf50__22": 0.8710691823899371,
    "eval_validation.parquet_accuracy_conf50__23": 0.8797250859106529,
    "eval_validation.parquet_accuracy_conf50__3": 0.8885448916408669,
    "eval_validation.parquet_accuracy_conf50__4": 0.8637137989778535,
    "eval_validation.parquet_accuracy_conf50__5": 0.8816793893129771,
    "eval_validation.parquet_accuracy_conf50__6": 0.9115890083632019,
    "eval_validation.parquet_accuracy_conf50__7": 0.7850678733031674,
    "eval_validation.parquet_accuracy_conf50__8": 0.8923512747875354,
    "eval_validation.parquet_accuracy_conf50__9": 0.878345498783455,
    "eval_validation.parquet_accuracy_conf75": 0.9145129224652088,
    "eval_validation.parquet_accuracy_conf75__0": 0.9239130434782609,
    "eval_validation.parquet_accuracy_conf75__1": 0.85546875,
    "eval_validation.parquet_accuracy_conf75__10": 0.9493670886075949,
    "eval_validation.parquet_accuracy_conf75__11": 0.9121338912133892,
    "eval_validation.parquet_accuracy_conf75__12": 0.9450980392156862,
    "eval_validation.parquet_accuracy_conf75__13": 0.8294573643410853,
    "eval_validation.parquet_accuracy_conf75__14": 0.9129692832764505,
    "eval_validation.parquet_accuracy_conf75__15": 0.9392265193370166,
    "eval_validation.parquet_accuracy_conf75__16": 0.8972602739726028,
    "eval_validation.parquet_accuracy_conf75__17": 0.8893280632411067,
    "eval_validation.parquet_accuracy_conf75__18": 0.9288389513108615,
    "eval_validation.parquet_accuracy_conf75__19": 0.8925925925925926,
    "eval_validation.parquet_accuracy_conf75__2": 0.8809523809523809,
    "eval_validation.parquet_accuracy_conf75__20": 0.8479087452471483,
    "eval_validation.parquet_accuracy_conf75__21": 0.9502923976608187,
    "eval_validation.parquet_accuracy_conf75__22": 0.9064748201438849,
    "eval_validation.parquet_accuracy_conf75__23": 0.9404761904761905,
    "eval_validation.parquet_accuracy_conf75__3": 0.9228070175438596,
    "eval_validation.parquet_accuracy_conf75__4": 0.9067961165048544,
    "eval_validation.parquet_accuracy_conf75__5": 0.9224137931034483,
    "eval_validation.parquet_accuracy_conf75__6": 0.9374185136897001,
    "eval_validation.parquet_accuracy_conf75__7": 0.8453333333333334,
    "eval_validation.parquet_accuracy_conf75__8": 0.9276729559748428,
    "eval_validation.parquet_accuracy_conf75__9": 0.9305354558610709,
    "eval_validation.parquet_accuracy_label_average": 0.8470618003326092,
    "eval_validation.parquet_accuracy_label_average_conf50": 0.8580792494248763,
    "eval_validation.parquet_accuracy_label_average_conf75": 0.9081139825449239,
    "eval_validation.parquet_accuracy_label_min": 0.7473118279569892,
    "eval_validation.parquet_accuracy_label_min_conf50": 0.7711598746081505,
    "eval_validation.parquet_accuracy_label_min_conf75": 0.8294573643410853,
    "eval_validation.parquet_loss": 0.4807276427745819,
    "eval_validation.parquet_proportion_conf50": 0.9788,
    "eval_validation.parquet_proportion_conf75": 0.8551,
    "eval_validation.parquet_runtime": 8.4462,
    "eval_validation.parquet_samples_per_second": 1183.97,
    "eval_validation.parquet_steps_per_second": 37.058,
    "num_input_tokens_seen": 1949274656,
    "test_accuracy": 0.8585,
    "test_accuracy__0": 0.9345794392523364,
    "test_accuracy__1": 0.7317073170731707,
    "test_accuracy__10": 0.9148351648351648,
    "test_accuracy__11": 0.89272030651341,
    "test_accuracy__12": 0.8687196110210696,
    "test_accuracy__13": 0.813953488372093,
    "test_accuracy__14": 0.8615819209039548,
    "test_accuracy__15": 0.717948717948718,
    "test_accuracy__16": 0.8550295857988166,
    "test_accuracy__17": 0.8245931283905967,
    "test_accuracy__18": 0.9069767441860465,
    "test_accuracy__19": 0.8333333333333334,
    "test_accuracy__2": 0.8660287081339713,
    "test_accuracy__20": 0.8294117647058824,
    "test_accuracy__21": 0.944141689373297,
    "test_accuracy__22": 0.8787878787878788,
    "test_accuracy__23": 0.9,
    "test_accuracy__3": 0.8470254957507082,
    "test_accuracy__4": 0.8442367601246106,
    "test_accuracy__5": 0.8188679245283019,
    "test_accuracy__6": 0.8996655518394648,
    "test_accuracy__7": 0.729490022172949,
    "test_accuracy__8": 0.8937329700272479,
    "test_accuracy__9": 0.8665105386416861,
    "test_accuracy_conf50": 0.8673937417184793,
    "test_accuracy_conf50__0": 0.9433962264150944,
    "test_accuracy_conf50__1": 0.7452830188679245,
    "test_accuracy_conf50__10": 0.9299719887955182,
    "test_accuracy_conf50__11": 0.8957528957528957,
    "test_accuracy_conf50__12": 0.8768472906403941,
    "test_accuracy_conf50__13": 0.8192771084337349,
    "test_accuracy_conf50__14": 0.8690647482014389,
    "test_accuracy_conf50__15": 0.7236842105263158,
    "test_accuracy_conf50__16": 0.8640483383685801,
    "test_accuracy_conf50__17": 0.8357933579335793,
    "test_accuracy_conf50__18": 0.91,
    "test_accuracy_conf50__19": 0.8480565371024735,
    "test_accuracy_conf50__2": 0.8768472906403941,
    "test_accuracy_conf50__20": 0.8433734939759037,
    "test_accuracy_conf50__21": 0.9504814305364512,
    "test_accuracy_conf50__22": 0.8843537414965986,
    "test_accuracy_conf50__23": 0.9028213166144201,
    "test_accuracy_conf50__3": 0.8571428571428571,
    "test_accuracy_conf50__4": 0.8510301109350238,
    "test_accuracy_conf50__5": 0.8206106870229007,
    "test_accuracy_conf50__6": 0.9071347678369196,
    "test_accuracy_conf50__7": 0.7441860465116279,
    "test_accuracy_conf50__8": 0.9005524861878453,
    "test_accuracy_conf50__9": 0.8760529482551144,
    "test_accuracy_conf75": 0.917750439367311,
    "test_accuracy_conf75__0": 0.95,
    "test_accuracy_conf75__1": 0.8412698412698413,
    "test_accuracy_conf75__10": 0.9556213017751479,
    "test_accuracy_conf75__11": 0.9297520661157025,
    "test_accuracy_conf75__12": 0.9298892988929889,
    "test_accuracy_conf75__13": 0.8787878787878788,
    "test_accuracy_conf75__14": 0.9126050420168067,
    "test_accuracy_conf75__15": 0.8253012048192772,
    "test_accuracy_conf75__16": 0.8885017421602788,
    "test_accuracy_conf75__17": 0.8968421052631579,
    "test_accuracy_conf75__18": 0.9379562043795621,
    "test_accuracy_conf75__19": 0.9112903225806451,
    "test_accuracy_conf75__2": 0.9028571428571428,
    "test_accuracy_conf75__20": 0.896551724137931,
    "test_accuracy_conf75__21": 0.9680232558139535,
    "test_accuracy_conf75__22": 0.9224806201550387,
    "test_accuracy_conf75__23": 0.9444444444444444,
    "test_accuracy_conf75__3": 0.931899641577061,
    "test_accuracy_conf75__4": 0.8976234003656307,
    "test_accuracy_conf75__5": 0.9166666666666666,
    "test_accuracy_conf75__6": 0.9482976040353089,
    "test_accuracy_conf75__7": 0.8040345821325648,
    "test_accuracy_conf75__8": 0.9447852760736196,
    "test_accuracy_conf75__9": 0.9320113314447592,
    "test_accuracy_label_average": 0.853078252571446,
    "test_accuracy_label_average_conf50": 0.8614901207580835,
    "test_accuracy_label_average_conf75": 0.9111455290735587,
    "test_accuracy_label_min": 0.717948717948718,
    "test_accuracy_label_min_conf50": 0.7236842105263158,
    "test_accuracy_label_min_conf75": 0.8040345821325648,
    "test_loss": 0.4694322645664215,
    "test_proportion_conf50": 0.9811,
    "test_proportion_conf75": 0.8535,
    "test_runtime": 8.3953,
    "test_samples_per_second": 1191.144,
    "test_steps_per_second": 37.283,
    "train_loss": 1.6634563641670423,
    "train_runtime": 573.9155,
    "train_samples_per_second": 696.967,
    "train_steps_per_second": 1.359
}