Invalid JSON: Unexpected non-whitespace character after JSONat line 1067, column 2
| [ | |
| { | |
| "loss": 0.7267, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.02, | |
| "step": 1 | |
| }, | |
| { | |
| "loss": 0.7475, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.04, | |
| "step": 2 | |
| }, | |
| { | |
| "loss": 0.7129, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.05, | |
| "step": 3 | |
| }, | |
| { | |
| "loss": 0.7034, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.07, | |
| "step": 4 | |
| }, | |
| { | |
| "loss": 0.665, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.09, | |
| "step": 5 | |
| }, | |
| { | |
| "loss": 0.6779, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.11, | |
| "step": 6 | |
| }, | |
| { | |
| "loss": 0.6348, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.12, | |
| "step": 7 | |
| }, | |
| { | |
| "loss": 0.6383, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.14, | |
| "step": 8 | |
| }, | |
| { | |
| "loss": 0.631, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.16, | |
| "step": 9 | |
| }, | |
| { | |
| "loss": 0.6209, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.18, | |
| "step": 10 | |
| }, | |
| { | |
| "loss": 0.5937, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.19, | |
| "step": 11 | |
| }, | |
| { | |
| "loss": 0.6977, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.21, | |
| "step": 12 | |
| }, | |
| { | |
| "loss": 0.5979, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.23, | |
| "step": 13 | |
| }, | |
| { | |
| "loss": 0.6154, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.25, | |
| "step": 14 | |
| }, | |
| { | |
| "loss": 0.5795, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.26, | |
| "step": 15 | |
| }, | |
| { | |
| "loss": 0.544, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.28, | |
| "step": 16 | |
| }, | |
| { | |
| "loss": 0.5197, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.3, | |
| "step": 17 | |
| }, | |
| { | |
| "loss": 0.5379, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.32, | |
| "step": 18 | |
| }, | |
| { | |
| "loss": 0.5021, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.33, | |
| "step": 19 | |
| }, | |
| { | |
| "loss": 0.5519, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.35, | |
| "step": 20 | |
| }, | |
| { | |
| "loss": 0.3599, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.37, | |
| "step": 21 | |
| }, | |
| { | |
| "loss": 0.3701, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.39, | |
| "step": 22 | |
| }, | |
| { | |
| "loss": 0.3876, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.4, | |
| "step": 23 | |
| }, | |
| { | |
| "loss": 0.4935, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.42, | |
| "step": 24 | |
| }, | |
| { | |
| "loss": 0.3393, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.44, | |
| "step": 25 | |
| }, | |
| { | |
| "eval_counterfactual_python_loss": 0.5252675414085388, | |
| "eval_counterfactual_python_score": -0.17967264354228973, | |
| "eval_counterfactual_python_brier_score": 0.17967264354228973, | |
| "eval_counterfactual_python_average_probability": 0.6397440433502197, | |
| "eval_counterfactual_python_accuracy": 0.7, | |
| "eval_counterfactual_python_probabilities": [ | |
| 0.4025430381298065, | |
| 0.5528247356414795, | |
| 0.47615763545036316, | |
| 0.6959042549133301, | |
| 0.8683016896247864, | |
| 0.5814028978347778, | |
| 0.9853832721710205, | |
| 0.9737173318862915, | |
| 0.9730455279350281, | |
| 0.6918718814849854, | |
| 0.7678124904632568, | |
| 0.8197428584098816, | |
| 0.24617619812488556, | |
| 0.18144360184669495, | |
| 0.49834251403808594, | |
| 0.4999594986438751, | |
| 0.5225722193717957, | |
| 0.549166738986969, | |
| 0.4152355194091797, | |
| 0.49979662895202637, | |
| 0.625713050365448, | |
| 0.9987924098968506, | |
| 0.9986341595649719, | |
| 0.994375467300415, | |
| 0.49697279930114746, | |
| 0.4968659281730652, | |
| 0.49697089195251465, | |
| 0.29426684975624084, | |
| 0.25772419571876526, | |
| 0.30741405487060547, | |
| 0.5369154214859009, | |
| 0.5779776573181152, | |
| 0.6455713510513306, | |
| 0.6177799701690674, | |
| 0.19178180396556854, | |
| 0.5004286766052246, | |
| 0.7225919961929321, | |
| 0.8483408689498901, | |
| 0.8276102542877197, | |
| 0.9511324763298035, | |
| 0.419515460729599, | |
| 0.9256934523582458, | |
| 0.5638550519943237, | |
| 0.5625154376029968, | |
| 0.582371175289154, | |
| 0.5088287591934204, | |
| 0.5198321342468262, | |
| 0.641878604888916, | |
| 0.5253497958183289, | |
| 0.5171144008636475, | |
| 0.44931524991989136, | |
| 0.4930219054222107, | |
| 0.5069854259490967, | |
| 0.4950384795665741, | |
| 0.583296537399292, | |
| 0.5797522664070129, | |
| 0.5488704442977905, | |
| 0.7991865277290344, | |
| 0.8513537645339966, | |
| 0.8732610940933228, | |
| 0.9988094568252563, | |
| 0.9998262524604797, | |
| 0.5824344158172607, | |
| 0.34026870131492615, | |
| 0.9388225674629211, | |
| 0.8998932838439941, | |
| 0.3803667426109314, | |
| 0.4962526261806488, | |
| 0.4445868134498596, | |
| 0.9827463626861572, | |
| 0.6281481385231018, | |
| 0.8289045095443726, | |
| 0.7434202432632446, | |
| 0.9557695984840393, | |
| 0.8553952574729919, | |
| 0.4993739724159241, | |
| 0.507488489151001, | |
| 0.4998803734779358, | |
| 0.33029648661613464, | |
| 0.9249886274337769, | |
| 0.7706435322761536, | |
| 0.5717030763626099, | |
| 0.5553368330001831, | |
| 0.42045503854751587, | |
| 0.6942585706710815, | |
| 0.4067814350128174, | |
| 0.5246282815933228, | |
| 0.999351441860199, | |
| 0.9990257024765015, | |
| 0.9996531009674072, | |
| 0.9997257590293884, | |
| 0.23714148998260498, | |
| 0.9996090531349182, | |
| 0.5393978953361511, | |
| 0.5126370787620544, | |
| 0.5462245345115662, | |
| 0.8258392214775085, | |
| 0.7742918133735657, | |
| 0.7620702981948853, | |
| 0.4616592526435852 | |
| ], | |
| "eval_counterfactual_python_runtime": 148.0359, | |
| "eval_counterfactual_python_samples_per_second": 0.676, | |
| "eval_counterfactual_python_steps_per_second": 0.027, | |
| "epoch": 0.44, | |
| "step": 25 | |
| }, | |
| { | |
| "loss": 0.3693, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.46, | |
| "step": 26 | |
| }, | |
| { | |
| "loss": 0.4004, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.47, | |
| "step": 27 | |
| }, | |
| { | |
| "loss": 0.438, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.49, | |
| "step": 28 | |
| }, | |
| { | |
| "loss": 0.521, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.51, | |
| "step": 29 | |
| }, | |
| { | |
| "loss": 0.313, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.53, | |
| "step": 30 | |
| }, | |
| { | |
| "loss": 0.3143, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.54, | |
| "step": 31 | |
| }, | |
| { | |
| "loss": 0.236, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.56, | |
| "step": 32 | |
| }, | |
| { | |
| "loss": 0.2236, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.58, | |
| "step": 33 | |
| }, | |
| { | |
| "loss": 0.214, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.6, | |
| "step": 34 | |
| }, | |
| { | |
| "loss": 0.2578, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.61, | |
| "step": 35 | |
| }, | |
| { | |
| "loss": 0.3763, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.63, | |
| "step": 36 | |
| }, | |
| { | |
| "loss": 0.3423, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.65, | |
| "step": 37 | |
| }, | |
| { | |
| "loss": 0.3139, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.67, | |
| "step": 38 | |
| }, | |
| { | |
| "loss": 0.2759, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.68, | |
| "step": 39 | |
| }, | |
| { | |
| "loss": 0.26, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.7, | |
| "step": 40 | |
| }, | |
| { | |
| "loss": 0.2124, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.72, | |
| "step": 41 | |
| }, | |
| { | |
| "loss": 0.1433, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.74, | |
| "step": 42 | |
| }, | |
| { | |
| "loss": 0.1857, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.75, | |
| "step": 43 | |
| }, | |
| { | |
| "loss": 0.2408, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.77, | |
| "step": 44 | |
| }, | |
| { | |
| "loss": 0.1516, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.79, | |
| "step": 45 | |
| }, | |
| { | |
| "loss": 0.1665, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.81, | |
| "step": 46 | |
| }, | |
| { | |
| "loss": 0.1697, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.82, | |
| "step": 47 | |
| }, | |
| { | |
| "loss": 0.2497, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.84, | |
| "step": 48 | |
| }, | |
| { | |
| "loss": 0.1385, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.86, | |
| "step": 49 | |
| }, | |
| { | |
| "loss": 0.407, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.88, | |
| "step": 50 | |
| }, | |
| { | |
| "eval_counterfactual_python_loss": 0.29242223501205444, | |
| "eval_counterfactual_python_score": -0.09144061803817749, | |
| "eval_counterfactual_python_brier_score": 0.09144061803817749, | |
| "eval_counterfactual_python_average_probability": 0.832301914691925, | |
| "eval_counterfactual_python_accuracy": 0.85, | |
| "eval_counterfactual_python_probabilities": [ | |
| 0.8290666937828064, | |
| 0.722215473651886, | |
| 0.46660611033439636, | |
| 0.9995954632759094, | |
| 0.9999638795852661, | |
| 0.9738278985023499, | |
| 0.9999997615814209, | |
| 0.9999768733978271, | |
| 0.9999955892562866, | |
| 0.9996802806854248, | |
| 0.9999997615814209, | |
| 1.0, | |
| 0.9777297973632812, | |
| 0.9214583039283752, | |
| 0.4395189583301544, | |
| 0.8484328985214233, | |
| 0.8188106417655945, | |
| 0.8696801662445068, | |
| 0.4704320430755615, | |
| 0.46570122241973877, | |
| 0.9953906536102295, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.5039901733398438, | |
| 0.47521868348121643, | |
| 0.48840612173080444, | |
| 0.9961138963699341, | |
| 0.9878486394882202, | |
| 0.9522193670272827, | |
| 0.9642688632011414, | |
| 0.9077231287956238, | |
| 0.9924706220626831, | |
| 0.9999290704727173, | |
| 0.9531584978103638, | |
| 0.7073849439620972, | |
| 0.9996718168258667, | |
| 0.9998449087142944, | |
| 0.9999879598617554, | |
| 0.997260570526123, | |
| 0.1481434404850006, | |
| 0.9989271759986877, | |
| 0.7633799910545349, | |
| 0.7661910057067871, | |
| 0.780919075012207, | |
| 0.7627673149108887, | |
| 0.7168733477592468, | |
| 0.9922469854354858, | |
| 0.9810456037521362, | |
| 0.7025057077407837, | |
| 0.8261442184448242, | |
| 0.4840741455554962, | |
| 0.5068047642707825, | |
| 0.5053709149360657, | |
| 0.830937385559082, | |
| 0.3105810284614563, | |
| 0.2717106342315674, | |
| 0.9999955892562866, | |
| 0.9999982118606567, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.9773229360580444, | |
| 0.046078674495220184, | |
| 0.9999560117721558, | |
| 0.9981380701065063, | |
| 0.9797940850257874, | |
| 0.9963685274124146, | |
| 0.9252886772155762, | |
| 0.9999996423721313, | |
| 0.9313779473304749, | |
| 0.9999939203262329, | |
| 0.9999730587005615, | |
| 1.0, | |
| 0.9999995231628418, | |
| 0.5195990800857544, | |
| 0.5784486532211304, | |
| 0.4819834530353546, | |
| 0.9729602932929993, | |
| 0.999876856803894, | |
| 0.035117629915475845, | |
| 0.9384076595306396, | |
| 0.9384472370147705, | |
| 0.9755933284759521, | |
| 0.9469432830810547, | |
| 0.9951752424240112, | |
| 0.9880732893943787, | |
| 1.0, | |
| 0.9999998807907104, | |
| 1.0, | |
| 0.9999998807907104, | |
| 0.30771708488464355, | |
| 0.9999998807907104, | |
| 0.10123192518949509, | |
| 0.9289315938949585, | |
| 0.6148931980133057, | |
| 0.9964861869812012, | |
| 0.9967578053474426, | |
| 0.9945474863052368, | |
| 0.9925133585929871 | |
| ], | |
| "eval_counterfactual_python_runtime": 148.1291, | |
| "eval_counterfactual_python_samples_per_second": 0.675, | |
| "eval_counterfactual_python_steps_per_second": 0.027, | |
| "epoch": 0.88, | |
| "step": 50 | |
| }, | |
| { | |
| "loss": 0.1957, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.89, | |
| "step": 51 | |
| }, | |
| { | |
| "loss": 0.0807, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.91, | |
| "step": 52 | |
| }, | |
| { | |
| "loss": 0.1052, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.93, | |
| "step": 53 | |
| }, | |
| { | |
| "loss": 0.2074, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.95, | |
| "step": 54 | |
| }, | |
| { | |
| "loss": 0.1715, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.96, | |
| "step": 55 | |
| }, | |
| { | |
| "loss": 0.1933, | |
| "learning_rate": 0.0002, | |
| "epoch": 0.98, | |
| "step": 56 | |
| }, | |
| { | |
| "loss": 0.2105, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.0, | |
| "step": 57 | |
| }, | |
| { | |
| "loss": 0.1486, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.02, | |
| "step": 58 | |
| }, | |
| { | |
| "loss": 0.1069, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.04, | |
| "step": 59 | |
| }, | |
| { | |
| "loss": 0.145, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.05, | |
| "step": 60 | |
| }, | |
| { | |
| "loss": 0.4571, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.07, | |
| "step": 61 | |
| }, | |
| { | |
| "loss": 0.1236, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.09, | |
| "step": 62 | |
| }, | |
| { | |
| "loss": 0.1594, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.11, | |
| "step": 63 | |
| }, | |
| { | |
| "loss": 0.2509, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.12, | |
| "step": 64 | |
| }, | |
| { | |
| "loss": 0.0534, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.14, | |
| "step": 65 | |
| }, | |
| { | |
| "loss": 0.1777, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.16, | |
| "step": 66 | |
| }, | |
| { | |
| "loss": 0.0901, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.18, | |
| "step": 67 | |
| }, | |
| { | |
| "loss": 0.129, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.19, | |
| "step": 68 | |
| }, | |
| { | |
| "loss": 0.1711, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.21, | |
| "step": 69 | |
| }, | |
| { | |
| "loss": 0.0677, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.23, | |
| "step": 70 | |
| }, | |
| { | |
| "loss": 0.1116, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.25, | |
| "step": 71 | |
| }, | |
| { | |
| "loss": 0.1108, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.26, | |
| "step": 72 | |
| }, | |
| { | |
| "loss": 0.1781, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.28, | |
| "step": 73 | |
| }, | |
| { | |
| "loss": 0.1448, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.3, | |
| "step": 74 | |
| }, | |
| { | |
| "loss": 0.0744, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.32, | |
| "step": 75 | |
| }, | |
| { | |
| "eval_counterfactual_python_loss": 0.28377440571784973, | |
| "eval_counterfactual_python_score": -0.08204667270183563, | |
| "eval_counterfactual_python_brier_score": 0.08204667270183563, | |
| "eval_counterfactual_python_average_probability": 0.8536213636398315, | |
| "eval_counterfactual_python_accuracy": 0.88, | |
| "eval_counterfactual_python_probabilities": [ | |
| 0.7314821481704712, | |
| 0.6076691150665283, | |
| 0.8401762843132019, | |
| 1.0, | |
| 1.0, | |
| 0.9999144077301025, | |
| 0.9999707937240601, | |
| 0.9990261793136597, | |
| 0.9999970197677612, | |
| 0.9999995231628418, | |
| 1.0, | |
| 1.0, | |
| 0.9851574897766113, | |
| 0.9987278580665588, | |
| 0.7278057932853699, | |
| 0.9989540576934814, | |
| 0.9577045440673828, | |
| 0.9996967315673828, | |
| 0.8599286079406738, | |
| 0.6400872468948364, | |
| 0.9996253252029419, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.4713297188282013, | |
| 0.4340597093105316, | |
| 0.49946117401123047, | |
| 0.9943854808807373, | |
| 0.9441508054733276, | |
| 0.40594908595085144, | |
| 0.999798595905304, | |
| 0.9884153604507446, | |
| 0.9999252557754517, | |
| 0.9998832941055298, | |
| 0.5778541564941406, | |
| 0.7453824877738953, | |
| 0.9987145662307739, | |
| 0.9973467588424683, | |
| 0.9996333122253418, | |
| 0.9934130311012268, | |
| 0.11255636811256409, | |
| 0.9982492923736572, | |
| 0.9238725900650024, | |
| 0.897457480430603, | |
| 0.9157965779304504, | |
| 0.8991203904151917, | |
| 0.8065866231918335, | |
| 0.9779689908027649, | |
| 0.9991044402122498, | |
| 0.8109013438224792, | |
| 0.9344987869262695, | |
| 0.500009298324585, | |
| 0.47979214787483215, | |
| 0.4675668179988861, | |
| 0.5211988091468811, | |
| 0.07348980754613876, | |
| 0.1781739592552185, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.9885606169700623, | |
| 0.07429847121238708, | |
| 0.9980649352073669, | |
| 0.9804439544677734, | |
| 0.9987780451774597, | |
| 0.9999980926513672, | |
| 0.9976346492767334, | |
| 0.9999933242797852, | |
| 0.8009048700332642, | |
| 0.9995360374450684, | |
| 0.9999793767929077, | |
| 1.0, | |
| 0.9999977350234985, | |
| 0.4885472059249878, | |
| 0.5760848522186279, | |
| 0.5441920757293701, | |
| 0.9674233198165894, | |
| 0.9999856948852539, | |
| 0.7198473811149597, | |
| 0.9999222755432129, | |
| 0.9998089671134949, | |
| 0.9999643564224243, | |
| 0.9132568836212158, | |
| 0.9998493194580078, | |
| 0.9883948564529419, | |
| 0.9999967813491821, | |
| 0.9999957084655762, | |
| 0.9999996423721313, | |
| 1.0, | |
| 0.5809887647628784, | |
| 1.0, | |
| 0.003951054997742176, | |
| 0.9936642646789551, | |
| 0.9005458354949951, | |
| 0.9965581297874451, | |
| 0.9894922971725464, | |
| 0.9695391654968262, | |
| 0.999969482421875 | |
| ], | |
| "eval_counterfactual_python_runtime": 147.9617, | |
| "eval_counterfactual_python_samples_per_second": 0.676, | |
| "eval_counterfactual_python_steps_per_second": 0.027, | |
| "epoch": 1.32, | |
| "step": 75 | |
| }, | |
| { | |
| "loss": 0.0919, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.33, | |
| "step": 76 | |
| }, | |
| { | |
| "loss": 0.0825, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.35, | |
| "step": 77 | |
| }, | |
| { | |
| "loss": 0.1998, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.37, | |
| "step": 78 | |
| }, | |
| { | |
| "loss": 0.1246, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.39, | |
| "step": 79 | |
| }, | |
| { | |
| "loss": 0.1369, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.4, | |
| "step": 80 | |
| }, | |
| { | |
| "loss": 0.0591, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.42, | |
| "step": 81 | |
| }, | |
| { | |
| "loss": 0.0996, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.44, | |
| "step": 82 | |
| }, | |
| { | |
| "loss": 0.0764, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.46, | |
| "step": 83 | |
| }, | |
| { | |
| "loss": 0.056, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.47, | |
| "step": 84 | |
| }, | |
| { | |
| "loss": 0.1234, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.49, | |
| "step": 85 | |
| }, | |
| { | |
| "loss": 0.1211, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.51, | |
| "step": 86 | |
| }, | |
| { | |
| "loss": 0.0923, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.53, | |
| "step": 87 | |
| }, | |
| { | |
| "loss": 0.0738, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.54, | |
| "step": 88 | |
| }, | |
| { | |
| "loss": 0.3737, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.56, | |
| "step": 89 | |
| }, | |
| { | |
| "loss": 0.4505, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.58, | |
| "step": 90 | |
| }, | |
| { | |
| "loss": 0.077, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.6, | |
| "step": 91 | |
| }, | |
| { | |
| "loss": 0.1008, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.61, | |
| "step": 92 | |
| }, | |
| { | |
| "loss": 0.0879, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.63, | |
| "step": 93 | |
| }, | |
| { | |
| "loss": 0.0985, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.65, | |
| "step": 94 | |
| }, | |
| { | |
| "loss": 0.0635, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.67, | |
| "step": 95 | |
| }, | |
| { | |
| "loss": 0.0756, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.68, | |
| "step": 96 | |
| }, | |
| { | |
| "loss": 0.0562, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.7, | |
| "step": 97 | |
| }, | |
| { | |
| "loss": 0.0685, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.72, | |
| "step": 98 | |
| }, | |
| { | |
| "loss": 0.0303, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.74, | |
| "step": 99 | |
| }, | |
| { | |
| "loss": 0.067, | |
| "learning_rate": 0.0002, | |
| "epoch": 1.75, | |
| "step": 100 | |
| }, | |
| { | |
| "eval_counterfactual_python_loss": 0.6492920517921448, | |
| "eval_counterfactual_python_score": -0.11869081854820251, | |
| "eval_counterfactual_python_brier_score": 0.11869081854820251, | |
| "eval_counterfactual_python_average_probability": 0.8255492448806763, | |
| "eval_counterfactual_python_accuracy": 0.85, | |
| "eval_counterfactual_python_probabilities": [ | |
| 0.9861384034156799, | |
| 0.5939927697181702, | |
| 0.9009288549423218, | |
| 1.0, | |
| 1.0, | |
| 0.9999958276748657, | |
| 1.0, | |
| 0.999998927116394, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.5473052859306335, | |
| 0.9997066855430603, | |
| 0.7191124558448792, | |
| 0.7445254325866699, | |
| 0.9441027641296387, | |
| 0.9992800354957581, | |
| 0.8879913091659546, | |
| 0.484623521566391, | |
| 0.9999891519546509, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.3958701193332672, | |
| 0.4465397000312805, | |
| 0.4785253703594208, | |
| 0.9999964237213135, | |
| 0.9999507665634155, | |
| 0.9988216757774353, | |
| 0.9999551773071289, | |
| 0.9635000228881836, | |
| 0.9999997615814209, | |
| 0.9999998807907104, | |
| 0.999817430973053, | |
| 0.6587944626808167, | |
| 0.9999881982803345, | |
| 0.9999884366989136, | |
| 0.9999998807907104, | |
| 0.9999645948410034, | |
| 0.05140410736203194, | |
| 0.9999929666519165, | |
| 0.537688136100769, | |
| 0.42932865023612976, | |
| 0.4146558940410614, | |
| 0.9924066662788391, | |
| 0.9678014516830444, | |
| 0.9997110962867737, | |
| 0.9999771118164062, | |
| 0.9144946336746216, | |
| 0.9799976944923401, | |
| 0.62276691198349, | |
| 0.5267013907432556, | |
| 0.6377686262130737, | |
| 0.0035202272702008486, | |
| 4.719002845376963e-06, | |
| 1.821393561840523e-05, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 1.0, | |
| 0.9999979734420776, | |
| 0.00026579556288197637, | |
| 0.9999961853027344, | |
| 0.0035534745547920465, | |
| 0.9691163301467896, | |
| 0.9998555183410645, | |
| 0.9999450445175171, | |
| 1.0, | |
| 0.775657594203949, | |
| 1.0, | |
| 0.9999961853027344, | |
| 1.0, | |
| 1.0, | |
| 0.5152413249015808, | |
| 0.634461522102356, | |
| 0.4413420855998993, | |
| 0.9129559397697449, | |
| 1.0, | |
| 0.10406677424907684, | |
| 0.9999929666519165, | |
| 0.999427080154419, | |
| 0.9999858140945435, | |
| 0.9948273301124573, | |
| 0.9999961853027344, | |
| 0.9999692440032959, | |
| 0.9999997615814209, | |
| 0.999998927116394, | |
| 1.0, | |
| 1.0, | |
| 0.557204008102417, | |
| 1.0, | |
| 0.02454865165054798, | |
| 0.9945038557052612, | |
| 0.8013033866882324, | |
| 0.999936580657959, | |
| 0.9994376301765442, | |
| 0.9997013211250305, | |
| 0.9999967813491821 | |
| ], | |
| "eval_counterfactual_python_runtime": 148.075, | |
| "eval_counterfactual_python_samples_per_second": 0.675, | |
| "eval_counterfactual_python_steps_per_second": 0.027, | |
| "epoch": 1.75, | |
| "step": 100 | |
| }, | |
| { | |
| "train_runtime": 12328.5202, | |
| "train_samples_per_second": 0.26, | |
| "train_steps_per_second": 0.008, | |
| "total_flos": 0.0, | |
| "train_loss": 0.28120540011674167, | |
| "epoch": 1.75, | |
| "step": 100 | |
| } | |
| ]] |