{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.28, "eval_steps": 1000, "global_step": 14000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.002, "grad_norm": 2.427967071533203, "learning_rate": 7.920000000000001e-05, "loss": 8.595370483398437, "step": 100 }, { "epoch": 0.004, "grad_norm": 2.0173449516296387, "learning_rate": 0.00015920000000000002, "loss": 6.985690307617188, "step": 200 }, { "epoch": 0.006, "grad_norm": 2.1842076778411865, "learning_rate": 0.00023920000000000001, "loss": 6.733137817382812, "step": 300 }, { "epoch": 0.008, "grad_norm": 1.4833307266235352, "learning_rate": 0.0003192, "loss": 6.513255004882812, "step": 400 }, { "epoch": 0.01, "grad_norm": 2.232273578643799, "learning_rate": 0.0003992, "loss": 6.504192504882813, "step": 500 }, { "epoch": 0.012, "grad_norm": 2.256459951400757, "learning_rate": 0.00047920000000000005, "loss": 6.356998901367188, "step": 600 }, { "epoch": 0.014, "grad_norm": 1.6759421825408936, "learning_rate": 0.0005592, "loss": 6.304365234375, "step": 700 }, { "epoch": 0.016, "grad_norm": 1.164450764656067, "learning_rate": 0.0006392, "loss": 6.234349975585937, "step": 800 }, { "epoch": 0.018, "grad_norm": 2.5291967391967773, "learning_rate": 0.0007191999999999999, "loss": 6.173318481445312, "step": 900 }, { "epoch": 0.02, "grad_norm": 1.1007851362228394, "learning_rate": 0.0007992, "loss": 6.1113330078125, "step": 1000 }, { "epoch": 0.02, "eval_accuracy": 0.14623679060665362, "eval_loss": 6.150835037231445, "eval_runtime": 13.1402, "eval_samples_per_second": 76.102, "eval_steps_per_second": 9.513, "step": 1000 }, { "epoch": 0.022, "grad_norm": 0.8226528167724609, "learning_rate": 0.0008792, "loss": 6.04904052734375, "step": 1100 }, { "epoch": 0.024, "grad_norm": 1.1409642696380615, "learning_rate": 0.0009592000000000001, "loss": 5.977291259765625, "step": 1200 }, { "epoch": 0.026, "grad_norm": 0.9230883121490479, "learning_rate": 0.0010391999999999999, "loss": 5.983433837890625, "step": 1300 }, { "epoch": 0.028, "grad_norm": 0.7991492748260498, "learning_rate": 0.0011192, "loss": 5.960853271484375, "step": 1400 }, { "epoch": 0.03, "grad_norm": 0.9952593445777893, "learning_rate": 0.0011992, "loss": 5.900661010742187, "step": 1500 }, { "epoch": 0.032, "grad_norm": 2.6635053157806396, "learning_rate": 0.0012791999999999999, "loss": 5.839690551757813, "step": 1600 }, { "epoch": 0.034, "grad_norm": 0.7056213021278381, "learning_rate": 0.0013592, "loss": 5.864632568359375, "step": 1700 }, { "epoch": 0.036, "grad_norm": 0.7523426413536072, "learning_rate": 0.0014392, "loss": 5.8030767822265625, "step": 1800 }, { "epoch": 0.038, "grad_norm": 0.572576105594635, "learning_rate": 0.0015192, "loss": 5.829718017578125, "step": 1900 }, { "epoch": 0.04, "grad_norm": 0.8802671432495117, "learning_rate": 0.0015992, "loss": 5.767376098632813, "step": 2000 }, { "epoch": 0.04, "eval_accuracy": 0.163426614481409, "eval_loss": 5.823215484619141, "eval_runtime": 6.7868, "eval_samples_per_second": 147.345, "eval_steps_per_second": 18.418, "step": 2000 }, { "epoch": 0.042, "grad_norm": 0.6110609173774719, "learning_rate": 0.0016792, "loss": 5.67332275390625, "step": 2100 }, { "epoch": 0.044, "grad_norm": 0.579617977142334, "learning_rate": 0.0017592, "loss": 5.706051025390625, "step": 2200 }, { "epoch": 0.046, "grad_norm": 0.5633976459503174, "learning_rate": 0.0018392, "loss": 5.6666259765625, "step": 2300 }, { "epoch": 0.048, "grad_norm": 0.6478831768035889, "learning_rate": 0.0019192, "loss": 5.682818603515625, "step": 2400 }, { "epoch": 0.05, "grad_norm": 0.8043723702430725, "learning_rate": 0.0019992, "loss": 5.635286254882812, "step": 2500 }, { "epoch": 0.052, "grad_norm": 0.554682195186615, "learning_rate": 0.001999978563623903, "loss": 5.5472607421875, "step": 2600 }, { "epoch": 0.054, "grad_norm": 0.6824977397918701, "learning_rate": 0.0019999133871331223, "loss": 5.5920654296875, "step": 2700 }, { "epoch": 0.056, "grad_norm": 0.40844905376434326, "learning_rate": 0.0019998044711915177, "loss": 5.528501586914063, "step": 2800 }, { "epoch": 0.058, "grad_norm": 0.6135262250900269, "learning_rate": 0.0019996518205634257, "loss": 5.487052612304687, "step": 2900 }, { "epoch": 0.06, "grad_norm": 0.4022127687931061, "learning_rate": 0.0019994554419262797, "loss": 5.5177392578125, "step": 3000 }, { "epoch": 0.06, "eval_accuracy": 0.18825440313111547, "eval_loss": 5.509125232696533, "eval_runtime": 6.779, "eval_samples_per_second": 147.515, "eval_steps_per_second": 18.439, "step": 3000 }, { "epoch": 0.062, "grad_norm": 0.7171342968940735, "learning_rate": 0.001999215343870317, "loss": 5.417413330078125, "step": 3100 }, { "epoch": 0.064, "grad_norm": 0.4542510509490967, "learning_rate": 0.0019989315368982054, "loss": 5.4095831298828125, "step": 3200 }, { "epoch": 0.066, "grad_norm": 0.5080035924911499, "learning_rate": 0.0019986040334245797, "loss": 5.417955932617187, "step": 3300 }, { "epoch": 0.068, "grad_norm": 0.3587779700756073, "learning_rate": 0.001998232847775504, "loss": 5.3721466064453125, "step": 3400 }, { "epoch": 0.07, "grad_norm": 0.45940911769866943, "learning_rate": 0.0019978179961878404, "loss": 5.320546875, "step": 3500 }, { "epoch": 0.072, "grad_norm": 0.3420865535736084, "learning_rate": 0.001997359496808541, "loss": 5.28208984375, "step": 3600 }, { "epoch": 0.074, "grad_norm": 0.42247381806373596, "learning_rate": 0.001996857369693855, "loss": 5.29147216796875, "step": 3700 }, { "epoch": 0.076, "grad_norm": 0.3335079550743103, "learning_rate": 0.0019963116368084486, "loss": 5.352775268554687, "step": 3800 }, { "epoch": 0.078, "grad_norm": 0.6875544786453247, "learning_rate": 0.001995722322024446, "loss": 5.303611450195312, "step": 3900 }, { "epoch": 0.08, "grad_norm": 0.3652666211128235, "learning_rate": 0.001995089451120385, "loss": 5.26600830078125, "step": 4000 }, { "epoch": 0.08, "eval_accuracy": 0.19674755381604697, "eval_loss": 5.325084686279297, "eval_runtime": 6.607, "eval_samples_per_second": 151.355, "eval_steps_per_second": 18.919, "step": 4000 }, { "epoch": 0.082, "grad_norm": 0.5043853521347046, "learning_rate": 0.0019944130517800893, "loss": 5.239017944335938, "step": 4100 }, { "epoch": 0.084, "grad_norm": 0.3757055699825287, "learning_rate": 0.001993693153591457, "loss": 5.197454833984375, "step": 4200 }, { "epoch": 0.086, "grad_norm": 0.3453492820262909, "learning_rate": 0.0019929297880451674, "loss": 5.198365478515625, "step": 4300 }, { "epoch": 0.088, "grad_norm": 0.4262433350086212, "learning_rate": 0.0019921229885333023, "loss": 5.171350708007813, "step": 4400 }, { "epoch": 0.09, "grad_norm": 0.40825143456459045, "learning_rate": 0.001991272790347886, "loss": 5.089209899902344, "step": 4500 }, { "epoch": 0.092, "grad_norm": 0.4957910180091858, "learning_rate": 0.0019903792306793415, "loss": 5.19048828125, "step": 4600 }, { "epoch": 0.094, "grad_norm": 0.3308526873588562, "learning_rate": 0.001989442348614863, "loss": 5.067187805175781, "step": 4700 }, { "epoch": 0.096, "grad_norm": 0.8154045343399048, "learning_rate": 0.0019884621851367075, "loss": 4.980618591308594, "step": 4800 }, { "epoch": 0.098, "grad_norm": 0.31783750653266907, "learning_rate": 0.001987438783120401, "loss": 5.060207214355469, "step": 4900 }, { "epoch": 0.1, "grad_norm": 0.3620655834674835, "learning_rate": 0.001986372187332862, "loss": 5.093417358398438, "step": 5000 }, { "epoch": 0.1, "eval_accuracy": 0.2061839530332681, "eval_loss": 5.202327251434326, "eval_runtime": 6.6926, "eval_samples_per_second": 149.419, "eval_steps_per_second": 18.677, "step": 5000 }, { "epoch": 0.102, "grad_norm": 0.5922824144363403, "learning_rate": 0.0019852624444304467, "loss": 5.105964965820313, "step": 5100 }, { "epoch": 0.104, "grad_norm": 0.3136729598045349, "learning_rate": 0.0019841096029569044, "loss": 5.011907348632812, "step": 5200 }, { "epoch": 0.106, "grad_norm": 0.5342575311660767, "learning_rate": 0.0019829137133412556, "loss": 5.081852111816406, "step": 5300 }, { "epoch": 0.108, "grad_norm": 0.26439738273620605, "learning_rate": 0.001981674827895587, "loss": 4.994610595703125, "step": 5400 }, { "epoch": 0.11, "grad_norm": 0.37755730748176575, "learning_rate": 0.00198039300081276, "loss": 5.054569396972656, "step": 5500 }, { "epoch": 0.112, "grad_norm": 0.2924644947052002, "learning_rate": 0.0019790682881640448, "loss": 4.945042419433594, "step": 5600 }, { "epoch": 0.114, "grad_norm": 0.35851046442985535, "learning_rate": 0.001977700747896664, "loss": 4.959053039550781, "step": 5700 }, { "epoch": 0.116, "grad_norm": 0.5607061386108398, "learning_rate": 0.001976290439831259, "loss": 5.00759521484375, "step": 5800 }, { "epoch": 0.118, "grad_norm": 0.41018638014793396, "learning_rate": 0.0019748374256592736, "loss": 4.933994750976563, "step": 5900 }, { "epoch": 0.12, "grad_norm": 0.28882530331611633, "learning_rate": 0.0019733417689402543, "loss": 5.069781799316406, "step": 6000 }, { "epoch": 0.12, "eval_accuracy": 0.21534050880626224, "eval_loss": 5.081418037414551, "eval_runtime": 6.8091, "eval_samples_per_second": 146.862, "eval_steps_per_second": 18.358, "step": 6000 }, { "epoch": 0.122, "grad_norm": 0.3777143955230713, "learning_rate": 0.0019718035350990712, "loss": 5.025782775878906, "step": 6100 }, { "epoch": 0.124, "grad_norm": 0.32341495156288147, "learning_rate": 0.0019702227914230566, "loss": 5.048944702148438, "step": 6200 }, { "epoch": 0.126, "grad_norm": 0.6978408098220825, "learning_rate": 0.001968599607059059, "loss": 5.073916015625, "step": 6300 }, { "epoch": 0.128, "grad_norm": 0.32388925552368164, "learning_rate": 0.0019669340530104207, "loss": 5.03993896484375, "step": 6400 }, { "epoch": 0.13, "grad_norm": 0.36633092164993286, "learning_rate": 0.001965226202133872, "loss": 5.047967529296875, "step": 6500 }, { "epoch": 0.132, "grad_norm": 0.36229783296585083, "learning_rate": 0.0019634761291363427, "loss": 4.99884033203125, "step": 6600 }, { "epoch": 0.134, "grad_norm": 0.26596584916114807, "learning_rate": 0.0019616839105716954, "loss": 4.971425476074219, "step": 6700 }, { "epoch": 0.136, "grad_norm": 0.2571287751197815, "learning_rate": 0.0019598496248373755, "loss": 4.944924926757812, "step": 6800 }, { "epoch": 0.138, "grad_norm": 0.33811017870903015, "learning_rate": 0.001957973352170984, "loss": 5.022549438476562, "step": 6900 }, { "epoch": 0.14, "grad_norm": 0.3483704924583435, "learning_rate": 0.001956055174646765, "loss": 4.955761108398438, "step": 7000 }, { "epoch": 0.14, "eval_accuracy": 0.2182211350293542, "eval_loss": 5.020055770874023, "eval_runtime": 6.8173, "eval_samples_per_second": 146.686, "eval_steps_per_second": 18.336, "step": 7000 }, { "epoch": 0.142, "grad_norm": 0.29454681277275085, "learning_rate": 0.0019540951761720174, "loss": 4.994992370605469, "step": 7100 }, { "epoch": 0.144, "grad_norm": 0.7461824417114258, "learning_rate": 0.0019520934424834247, "loss": 4.95612060546875, "step": 7200 }, { "epoch": 0.146, "grad_norm": 0.2770542502403259, "learning_rate": 0.0019500500611433025, "loss": 4.9815975952148435, "step": 7300 }, { "epoch": 0.148, "grad_norm": 0.627005934715271, "learning_rate": 0.0019479651215357707, "loss": 4.982627563476562, "step": 7400 }, { "epoch": 0.15, "grad_norm": 0.5774574279785156, "learning_rate": 0.0019458387148628417, "loss": 4.9119635009765625, "step": 7500 }, { "epoch": 0.152, "grad_norm": 0.6212947368621826, "learning_rate": 0.001943670934140432, "loss": 4.96866455078125, "step": 7600 }, { "epoch": 0.154, "grad_norm": 0.4175465703010559, "learning_rate": 0.0019414618741942936, "loss": 4.972650146484375, "step": 7700 }, { "epoch": 0.156, "grad_norm": 0.30829882621765137, "learning_rate": 0.0019392116316558638, "loss": 4.9120181274414065, "step": 7800 }, { "epoch": 0.158, "grad_norm": 0.2758282423019409, "learning_rate": 0.001936920304958042, "loss": 4.90683837890625, "step": 7900 }, { "epoch": 0.16, "grad_norm": 0.30226844549179077, "learning_rate": 0.0019345879943308804, "loss": 4.854488220214844, "step": 8000 }, { "epoch": 0.16, "eval_accuracy": 0.22608414872798435, "eval_loss": 4.913477420806885, "eval_runtime": 6.8714, "eval_samples_per_second": 145.531, "eval_steps_per_second": 18.191, "step": 8000 }, { "epoch": 0.162, "grad_norm": 0.712541401386261, "learning_rate": 0.0019322148017972016, "loss": 4.847081909179687, "step": 8100 }, { "epoch": 0.164, "grad_norm": 0.47257572412490845, "learning_rate": 0.001929800831168135, "loss": 4.90064453125, "step": 8200 }, { "epoch": 0.166, "grad_norm": 0.3497978150844574, "learning_rate": 0.001927346188038576, "loss": 4.955650329589844, "step": 8300 }, { "epoch": 0.168, "grad_norm": 0.3204037845134735, "learning_rate": 0.0019248509797825672, "loss": 4.851766967773438, "step": 8400 }, { "epoch": 0.17, "grad_norm": 0.3258970379829407, "learning_rate": 0.0019223153155486009, "loss": 4.883788452148438, "step": 8500 }, { "epoch": 0.172, "grad_norm": 0.4524133503437042, "learning_rate": 0.0019197393062548454, "loss": 4.840924682617188, "step": 8600 }, { "epoch": 0.174, "grad_norm": 0.28501275181770325, "learning_rate": 0.0019171230645842923, "loss": 4.877713317871094, "step": 8700 }, { "epoch": 0.176, "grad_norm": 0.4920591711997986, "learning_rate": 0.0019144667049798272, "loss": 4.900206298828125, "step": 8800 }, { "epoch": 0.178, "grad_norm": 0.30207598209381104, "learning_rate": 0.0019117703436392253, "loss": 4.907836303710938, "step": 8900 }, { "epoch": 0.18, "grad_norm": 0.3460649251937866, "learning_rate": 0.001909034098510066, "loss": 4.8303515625, "step": 9000 }, { "epoch": 0.18, "eval_accuracy": 0.22981996086105674, "eval_loss": 4.851044178009033, "eval_runtime": 6.9243, "eval_samples_per_second": 144.418, "eval_steps_per_second": 18.052, "step": 9000 }, { "epoch": 0.182, "grad_norm": 0.26366087794303894, "learning_rate": 0.001906258089284576, "loss": 4.757725524902344, "step": 9100 }, { "epoch": 0.184, "grad_norm": 0.3308315873146057, "learning_rate": 0.0019034424373943915, "loss": 4.747350769042969, "step": 9200 }, { "epoch": 0.186, "grad_norm": 0.24568253755569458, "learning_rate": 0.0019005872660052478, "loss": 4.785510559082031, "step": 9300 }, { "epoch": 0.188, "grad_norm": 0.43289270997047424, "learning_rate": 0.001897692700011591, "loss": 4.789692687988281, "step": 9400 }, { "epoch": 0.19, "grad_norm": 0.25019797682762146, "learning_rate": 0.0018947588660311143, "loss": 4.792172241210937, "step": 9500 }, { "epoch": 0.192, "grad_norm": 0.6229330897331238, "learning_rate": 0.0018917858923992211, "loss": 4.777132873535156, "step": 9600 }, { "epoch": 0.194, "grad_norm": 0.350772500038147, "learning_rate": 0.0018887739091634085, "loss": 4.744659423828125, "step": 9700 }, { "epoch": 0.196, "grad_norm": 0.23172135651111603, "learning_rate": 0.0018857230480775807, "loss": 4.748968811035156, "step": 9800 }, { "epoch": 0.198, "grad_norm": 0.3821462392807007, "learning_rate": 0.0018826334425962855, "loss": 4.802294616699219, "step": 9900 }, { "epoch": 0.2, "grad_norm": 0.2725774645805359, "learning_rate": 0.0018795052278688753, "loss": 4.774011535644531, "step": 10000 }, { "epoch": 0.2, "eval_accuracy": 0.23221135029354206, "eval_loss": 4.819427967071533, "eval_runtime": 6.9031, "eval_samples_per_second": 144.863, "eval_steps_per_second": 18.108, "step": 10000 }, { "epoch": 0.202, "grad_norm": 0.4188442528247833, "learning_rate": 0.0018763385407335963, "loss": 4.784246215820312, "step": 10100 }, { "epoch": 0.204, "grad_norm": 0.24621133506298065, "learning_rate": 0.001873133519711602, "loss": 4.787679748535156, "step": 10200 }, { "epoch": 0.206, "grad_norm": 0.5215740203857422, "learning_rate": 0.0018698903050008956, "loss": 4.709499206542969, "step": 10300 }, { "epoch": 0.208, "grad_norm": 0.4617030918598175, "learning_rate": 0.0018666090384701947, "loss": 4.747078552246093, "step": 10400 }, { "epoch": 0.21, "grad_norm": 0.29167914390563965, "learning_rate": 0.001863289863652727, "loss": 4.661806945800781, "step": 10500 }, { "epoch": 0.212, "grad_norm": 0.4101203680038452, "learning_rate": 0.0018599329257399516, "loss": 4.659268493652344, "step": 10600 }, { "epoch": 0.214, "grad_norm": 0.31853312253952026, "learning_rate": 0.0018565383715752083, "loss": 4.701767272949219, "step": 10700 }, { "epoch": 0.216, "grad_norm": 0.2906162440776825, "learning_rate": 0.0018531063496472927, "loss": 4.690833435058594, "step": 10800 }, { "epoch": 0.218, "grad_norm": 0.3280249238014221, "learning_rate": 0.0018496370100839622, "loss": 4.6896670532226565, "step": 10900 }, { "epoch": 0.22, "grad_norm": 0.3699072301387787, "learning_rate": 0.0018461305046453683, "loss": 4.636054382324219, "step": 11000 }, { "epoch": 0.22, "eval_accuracy": 0.2340371819960861, "eval_loss": 4.797712326049805, "eval_runtime": 6.7202, "eval_samples_per_second": 148.805, "eval_steps_per_second": 18.601, "step": 11000 }, { "epoch": 0.222, "grad_norm": 0.24158497154712677, "learning_rate": 0.0018425869867174187, "loss": 4.711828002929687, "step": 11100 }, { "epoch": 0.224, "grad_norm": 0.4193456172943115, "learning_rate": 0.0018390066113050665, "loss": 4.724891357421875, "step": 11200 }, { "epoch": 0.226, "grad_norm": 0.3414510190486908, "learning_rate": 0.0018353895350255317, "loss": 4.649370727539062, "step": 11300 }, { "epoch": 0.228, "grad_norm": 0.2959993779659271, "learning_rate": 0.0018317359161014477, "loss": 4.620471801757812, "step": 11400 }, { "epoch": 0.23, "grad_norm": 0.35871621966362, "learning_rate": 0.001828045914353943, "loss": 4.65095458984375, "step": 11500 }, { "epoch": 0.232, "grad_norm": 0.8000448942184448, "learning_rate": 0.0018243196911956476, "loss": 4.606728210449218, "step": 11600 }, { "epoch": 0.234, "grad_norm": 0.3677903115749359, "learning_rate": 0.0018205574096236336, "loss": 4.599508361816406, "step": 11700 }, { "epoch": 0.236, "grad_norm": 0.5635560750961304, "learning_rate": 0.0018167592342122857, "loss": 4.591564331054688, "step": 11800 }, { "epoch": 0.238, "grad_norm": 0.29384273290634155, "learning_rate": 0.0018129253311061002, "loss": 4.715082092285156, "step": 11900 }, { "epoch": 0.24, "grad_norm": 0.34943443536758423, "learning_rate": 0.0018090558680124193, "loss": 4.741492919921875, "step": 12000 }, { "epoch": 0.24, "eval_accuracy": 0.24006849315068493, "eval_loss": 4.731167316436768, "eval_runtime": 6.7722, "eval_samples_per_second": 147.662, "eval_steps_per_second": 18.458, "step": 12000 }, { "epoch": 0.242, "grad_norm": 0.40804609656333923, "learning_rate": 0.0018051510141940939, "loss": 4.809200744628907, "step": 12100 }, { "epoch": 0.244, "grad_norm": 0.23709678649902344, "learning_rate": 0.00180121094046208, "loss": 4.694277648925781, "step": 12200 }, { "epoch": 0.246, "grad_norm": 0.3795485496520996, "learning_rate": 0.001797235819167967, "loss": 4.7016690063476565, "step": 12300 }, { "epoch": 0.248, "grad_norm": 0.2936651110649109, "learning_rate": 0.0017932258241964375, "loss": 4.7381680297851565, "step": 12400 }, { "epoch": 0.25, "grad_norm": 0.3166375160217285, "learning_rate": 0.0017891811309576622, "loss": 4.715390014648437, "step": 12500 }, { "epoch": 0.252, "grad_norm": 0.43418648838996887, "learning_rate": 0.001785101916379627, "loss": 4.731936340332031, "step": 12600 }, { "epoch": 0.254, "grad_norm": 0.6372531652450562, "learning_rate": 0.0017809883589003912, "loss": 4.717911071777344, "step": 12700 }, { "epoch": 0.256, "grad_norm": 0.3290679454803467, "learning_rate": 0.0017768406384602862, "loss": 4.715725708007812, "step": 12800 }, { "epoch": 0.258, "grad_norm": 0.5329638123512268, "learning_rate": 0.00177265893649404, "loss": 4.697486572265625, "step": 12900 }, { "epoch": 0.26, "grad_norm": 0.4434824287891388, "learning_rate": 0.0017684434359228438, "loss": 4.648684387207031, "step": 13000 }, { "epoch": 0.26, "eval_accuracy": 0.2430587084148728, "eval_loss": 4.6857452392578125, "eval_runtime": 6.673, "eval_samples_per_second": 149.859, "eval_steps_per_second": 18.732, "step": 13000 }, { "epoch": 0.262, "grad_norm": 1.1536272764205933, "learning_rate": 0.0017641943211463488, "loss": 4.693533935546875, "step": 13100 }, { "epoch": 0.264, "grad_norm": 0.2765742838382721, "learning_rate": 0.0017599117780346006, "loss": 4.62672119140625, "step": 13200 }, { "epoch": 0.266, "grad_norm": 0.3210831880569458, "learning_rate": 0.0017555959939199084, "loss": 4.677549438476563, "step": 13300 }, { "epoch": 0.268, "grad_norm": 0.45882949233055115, "learning_rate": 0.0017512471575886505, "loss": 4.613779602050781, "step": 13400 }, { "epoch": 0.27, "grad_norm": 0.26687324047088623, "learning_rate": 0.0017468654592730168, "loss": 4.792513427734375, "step": 13500 }, { "epoch": 0.272, "grad_norm": 0.48945170640945435, "learning_rate": 0.0017424510906426853, "loss": 4.670322875976563, "step": 13600 }, { "epoch": 0.274, "grad_norm": 0.4301573634147644, "learning_rate": 0.0017380042447964414, "loss": 4.652569885253906, "step": 13700 }, { "epoch": 0.276, "grad_norm": 0.40779948234558105, "learning_rate": 0.0017335251162537279, "loss": 4.63238525390625, "step": 13800 }, { "epoch": 0.278, "grad_norm": 0.3157722055912018, "learning_rate": 0.0017290139009461377, "loss": 4.648804321289062, "step": 13900 }, { "epoch": 0.28, "grad_norm": 0.5345812439918518, "learning_rate": 0.0017244707962088424, "loss": 4.689738159179687, "step": 14000 }, { "epoch": 0.28, "eval_accuracy": 0.24557729941291584, "eval_loss": 4.648989200592041, "eval_runtime": 6.7439, "eval_samples_per_second": 148.281, "eval_steps_per_second": 18.535, "step": 14000 } ], "logging_steps": 100, "max_steps": 50000, "num_input_tokens_seen": 0, "num_train_epochs": 9223372036854775807, "save_steps": 2000, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 0.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }