theblackcat102's picture
upload models at 2500 iterations
04aabb3
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.6367949393779653,
"global_step": 2500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 3.599516044570672e-07,
"loss": 2.3879,
"step": 10
},
{
"epoch": 0.02,
"learning_rate": 4.6830783438602115e-07,
"loss": 2.3525,
"step": 20
},
{
"epoch": 0.03,
"learning_rate": 5.316921656139787e-07,
"loss": 2.2352,
"step": 30
},
{
"epoch": 0.04,
"learning_rate": 5.766640643149751e-07,
"loss": 2.2506,
"step": 40
},
{
"epoch": 0.05,
"learning_rate": 6.115469789851804e-07,
"loss": 2.182,
"step": 50
},
{
"epoch": 0.06,
"learning_rate": 6.400483955429327e-07,
"loss": 2.1697,
"step": 60
},
{
"epoch": 0.07,
"learning_rate": 6.641459998837218e-07,
"loss": 2.1285,
"step": 70
},
{
"epoch": 0.08,
"learning_rate": 6.850202942439291e-07,
"loss": 2.1158,
"step": 80
},
{
"epoch": 0.09,
"learning_rate": 7.034327267708902e-07,
"loss": 2.1371,
"step": 90
},
{
"epoch": 0.11,
"learning_rate": 7.199032089141344e-07,
"loss": 2.1271,
"step": 100
},
{
"epoch": 0.12,
"learning_rate": 7.348025723496237e-07,
"loss": 2.101,
"step": 110
},
{
"epoch": 0.13,
"learning_rate": 7.484046254718867e-07,
"loss": 2.1176,
"step": 120
},
{
"epoch": 0.14,
"learning_rate": 7.60917301394197e-07,
"loss": 2.0376,
"step": 130
},
{
"epoch": 0.15,
"learning_rate": 7.725022298126757e-07,
"loss": 2.1025,
"step": 140
},
{
"epoch": 0.16,
"learning_rate": 7.832875401420919e-07,
"loss": 2.1164,
"step": 150
},
{
"epoch": 0.17,
"learning_rate": 7.933765241728831e-07,
"loss": 2.0634,
"step": 160
},
{
"epoch": 0.18,
"learning_rate": 8.028536679096446e-07,
"loss": 2.0979,
"step": 170
},
{
"epoch": 0.19,
"learning_rate": 8.117889566998443e-07,
"loss": 2.0704,
"step": 180
},
{
"epoch": 0.2,
"learning_rate": 8.202410148252902e-07,
"loss": 2.0474,
"step": 190
},
{
"epoch": 0.21,
"learning_rate": 8.282594388430883e-07,
"loss": 2.0705,
"step": 200
},
{
"epoch": 0.22,
"learning_rate": 8.358865610406332e-07,
"loss": 2.0443,
"step": 210
},
{
"epoch": 0.23,
"learning_rate": 8.431588022785777e-07,
"loss": 2.1009,
"step": 220
},
{
"epoch": 0.24,
"learning_rate": 8.501077238654499e-07,
"loss": 2.0686,
"step": 230
},
{
"epoch": 0.25,
"learning_rate": 8.567608554008407e-07,
"loss": 2.0261,
"step": 240
},
{
"epoch": 0.26,
"learning_rate": 8.631423535132934e-07,
"loss": 2.0785,
"step": 250
},
{
"epoch": 0.26,
"eval_webgpt_accuracy": 0.5190179277190983,
"eval_webgpt_loss": 2.201171875,
"eval_webgpt_runtime": 429.5981,
"eval_webgpt_samples_per_second": 9.115,
"eval_webgpt_steps_per_second": 0.761,
"step": 250
},
{
"epoch": 0.26,
"eval_prompt_dialogue_accuracy": 0.5585842097604062,
"eval_prompt_dialogue_loss": 1.857421875,
"eval_prompt_dialogue_runtime": 1052.8834,
"eval_prompt_dialogue_samples_per_second": 9.791,
"eval_prompt_dialogue_steps_per_second": 0.817,
"step": 250
},
{
"epoch": 0.27,
"learning_rate": 8.692735313231511e-07,
"loss": 2.0753,
"step": 260
},
{
"epoch": 0.28,
"learning_rate": 8.751732879278018e-07,
"loss": 2.0926,
"step": 270
},
{
"epoch": 0.3,
"learning_rate": 8.808584597416296e-07,
"loss": 2.0557,
"step": 280
},
{
"epoch": 0.31,
"learning_rate": 8.863441101555992e-07,
"loss": 1.969,
"step": 290
},
{
"epoch": 0.32,
"learning_rate": 8.916437700710459e-07,
"loss": 2.049,
"step": 300
},
{
"epoch": 0.33,
"learning_rate": 8.967696389785231e-07,
"loss": 2.063,
"step": 310
},
{
"epoch": 0.34,
"learning_rate": 9.017327541018372e-07,
"loss": 2.0055,
"step": 320
},
{
"epoch": 0.35,
"learning_rate": 9.065431335065352e-07,
"loss": 2.0109,
"step": 330
},
{
"epoch": 0.36,
"learning_rate": 9.112098978385987e-07,
"loss": 2.0601,
"step": 340
},
{
"epoch": 0.37,
"learning_rate": 9.157413744118348e-07,
"loss": 2.0343,
"step": 350
},
{
"epoch": 0.38,
"learning_rate": 9.201451866287983e-07,
"loss": 2.0123,
"step": 360
},
{
"epoch": 0.39,
"learning_rate": 9.244283311473209e-07,
"loss": 2.0567,
"step": 370
},
{
"epoch": 0.4,
"learning_rate": 9.285972447542441e-07,
"loss": 2.0171,
"step": 380
},
{
"epoch": 0.41,
"learning_rate": 9.326578625511087e-07,
"loss": 2.0287,
"step": 390
},
{
"epoch": 0.42,
"learning_rate": 9.366156687720423e-07,
"loss": 2.0357,
"step": 400
},
{
"epoch": 0.43,
"learning_rate": 9.404757413257927e-07,
"loss": 2.0556,
"step": 410
},
{
"epoch": 0.44,
"learning_rate": 9.442427909695872e-07,
"loss": 2.0166,
"step": 420
},
{
"epoch": 0.45,
"learning_rate": 9.479211958729468e-07,
"loss": 2.028,
"step": 430
},
{
"epoch": 0.46,
"learning_rate": 9.515150322075316e-07,
"loss": 2.0044,
"step": 440
},
{
"epoch": 0.47,
"learning_rate": 9.550281012990034e-07,
"loss": 2.0301,
"step": 450
},
{
"epoch": 0.48,
"learning_rate": 9.584639537944038e-07,
"loss": 2.0321,
"step": 460
},
{
"epoch": 0.5,
"learning_rate": 9.61825911230254e-07,
"loss": 1.9889,
"step": 470
},
{
"epoch": 0.51,
"learning_rate": 9.651170853297947e-07,
"loss": 2.0272,
"step": 480
},
{
"epoch": 0.52,
"learning_rate": 9.683403953103762e-07,
"loss": 2.0319,
"step": 490
},
{
"epoch": 0.53,
"learning_rate": 9.714985834422475e-07,
"loss": 2.0251,
"step": 500
},
{
"epoch": 0.53,
"eval_webgpt_accuracy": 0.522718880616189,
"eval_webgpt_loss": 2.181640625,
"eval_webgpt_runtime": 433.6644,
"eval_webgpt_samples_per_second": 9.03,
"eval_webgpt_steps_per_second": 0.754,
"step": 500
},
{
"epoch": 0.53,
"eval_prompt_dialogue_accuracy": 0.5654158849986294,
"eval_prompt_dialogue_loss": 1.810546875,
"eval_prompt_dialogue_runtime": 1051.7495,
"eval_prompt_dialogue_samples_per_second": 9.802,
"eval_prompt_dialogue_steps_per_second": 0.818,
"step": 500
},
{
"epoch": 0.54,
"learning_rate": 9.745942290665561e-07,
"loss": 2.0089,
"step": 510
},
{
"epoch": 0.55,
"learning_rate": 9.776297612521052e-07,
"loss": 2.0385,
"step": 520
},
{
"epoch": 0.56,
"learning_rate": 9.80607470246476e-07,
"loss": 1.9865,
"step": 530
},
{
"epoch": 0.57,
"learning_rate": 9.835295178567558e-07,
"loss": 1.9859,
"step": 540
},
{
"epoch": 0.58,
"learning_rate": 9.863979468777368e-07,
"loss": 2.0115,
"step": 550
},
{
"epoch": 0.59,
"learning_rate": 9.892146896705837e-07,
"loss": 2.004,
"step": 560
},
{
"epoch": 0.6,
"learning_rate": 9.919815759822018e-07,
"loss": 2.0179,
"step": 570
},
{
"epoch": 0.61,
"learning_rate": 9.94700340084553e-07,
"loss": 2.0083,
"step": 580
},
{
"epoch": 0.62,
"learning_rate": 9.97372627303682e-07,
"loss": 2.0227,
"step": 590
},
{
"epoch": 0.63,
"learning_rate": 9.999999999999997e-07,
"loss": 1.9993,
"step": 600
},
{
"epoch": 0.64,
"learning_rate": 9.959893048128342e-07,
"loss": 2.0316,
"step": 610
},
{
"epoch": 0.65,
"learning_rate": 9.915329768270946e-07,
"loss": 1.9877,
"step": 620
},
{
"epoch": 0.66,
"learning_rate": 9.870766488413547e-07,
"loss": 1.9862,
"step": 630
},
{
"epoch": 0.67,
"learning_rate": 9.82620320855615e-07,
"loss": 2.0064,
"step": 640
},
{
"epoch": 0.69,
"learning_rate": 9.781639928698751e-07,
"loss": 2.0837,
"step": 650
},
{
"epoch": 0.7,
"learning_rate": 9.737076648841355e-07,
"loss": 1.9865,
"step": 660
},
{
"epoch": 0.71,
"learning_rate": 9.692513368983956e-07,
"loss": 2.0137,
"step": 670
},
{
"epoch": 0.72,
"learning_rate": 9.64795008912656e-07,
"loss": 2.0423,
"step": 680
},
{
"epoch": 0.73,
"learning_rate": 9.603386809269163e-07,
"loss": 1.992,
"step": 690
},
{
"epoch": 0.74,
"learning_rate": 9.558823529411764e-07,
"loss": 1.9865,
"step": 700
},
{
"epoch": 0.75,
"learning_rate": 9.514260249554367e-07,
"loss": 2.0152,
"step": 710
},
{
"epoch": 0.76,
"learning_rate": 9.46969696969697e-07,
"loss": 2.0183,
"step": 720
},
{
"epoch": 0.77,
"learning_rate": 9.425133689839572e-07,
"loss": 2.0077,
"step": 730
},
{
"epoch": 0.78,
"learning_rate": 9.380570409982175e-07,
"loss": 1.9948,
"step": 740
},
{
"epoch": 0.79,
"learning_rate": 9.336007130124776e-07,
"loss": 2.0004,
"step": 750
},
{
"epoch": 0.79,
"eval_webgpt_accuracy": 0.5246072651558654,
"eval_webgpt_loss": 2.171875,
"eval_webgpt_runtime": 427.6682,
"eval_webgpt_samples_per_second": 9.157,
"eval_webgpt_steps_per_second": 0.765,
"step": 750
},
{
"epoch": 0.79,
"eval_prompt_dialogue_accuracy": 0.5691780443314355,
"eval_prompt_dialogue_loss": 1.78515625,
"eval_prompt_dialogue_runtime": 1055.9887,
"eval_prompt_dialogue_samples_per_second": 9.762,
"eval_prompt_dialogue_steps_per_second": 0.814,
"step": 750
},
{
"epoch": 0.8,
"learning_rate": 9.29144385026738e-07,
"loss": 2.0092,
"step": 760
},
{
"epoch": 0.81,
"learning_rate": 9.246880570409982e-07,
"loss": 1.9648,
"step": 770
},
{
"epoch": 0.82,
"learning_rate": 9.202317290552585e-07,
"loss": 2.0095,
"step": 780
},
{
"epoch": 0.83,
"learning_rate": 9.157754010695186e-07,
"loss": 1.9805,
"step": 790
},
{
"epoch": 0.84,
"learning_rate": 9.11319073083779e-07,
"loss": 1.999,
"step": 800
},
{
"epoch": 0.85,
"learning_rate": 9.068627450980392e-07,
"loss": 2.0067,
"step": 810
},
{
"epoch": 0.86,
"learning_rate": 9.024064171122994e-07,
"loss": 1.9908,
"step": 820
},
{
"epoch": 0.88,
"learning_rate": 8.979500891265597e-07,
"loss": 1.9952,
"step": 830
},
{
"epoch": 0.89,
"learning_rate": 8.9349376114082e-07,
"loss": 1.9924,
"step": 840
},
{
"epoch": 0.9,
"learning_rate": 8.890374331550802e-07,
"loss": 2.022,
"step": 850
},
{
"epoch": 0.91,
"learning_rate": 8.845811051693403e-07,
"loss": 2.0003,
"step": 860
},
{
"epoch": 0.92,
"learning_rate": 8.801247771836007e-07,
"loss": 2.0315,
"step": 870
},
{
"epoch": 0.93,
"learning_rate": 8.756684491978609e-07,
"loss": 1.9881,
"step": 880
},
{
"epoch": 0.94,
"learning_rate": 8.712121212121211e-07,
"loss": 1.946,
"step": 890
},
{
"epoch": 0.95,
"learning_rate": 8.667557932263814e-07,
"loss": 2.0094,
"step": 900
},
{
"epoch": 0.96,
"learning_rate": 8.622994652406417e-07,
"loss": 1.9853,
"step": 910
},
{
"epoch": 0.97,
"learning_rate": 8.578431372549019e-07,
"loss": 1.9821,
"step": 920
},
{
"epoch": 0.98,
"learning_rate": 8.533868092691621e-07,
"loss": 1.9795,
"step": 930
},
{
"epoch": 0.99,
"learning_rate": 8.489304812834224e-07,
"loss": 1.9971,
"step": 940
},
{
"epoch": 1.0,
"learning_rate": 8.444741532976827e-07,
"loss": 2.0708,
"step": 950
},
{
"epoch": 1.01,
"learning_rate": 8.400178253119428e-07,
"loss": 1.9623,
"step": 960
},
{
"epoch": 1.02,
"learning_rate": 8.355614973262032e-07,
"loss": 1.9546,
"step": 970
},
{
"epoch": 1.03,
"learning_rate": 8.311051693404634e-07,
"loss": 1.9878,
"step": 980
},
{
"epoch": 1.04,
"learning_rate": 8.266488413547237e-07,
"loss": 1.9843,
"step": 990
},
{
"epoch": 1.05,
"learning_rate": 8.221925133689838e-07,
"loss": 1.9807,
"step": 1000
},
{
"epoch": 1.05,
"eval_webgpt_accuracy": 0.5253906990392405,
"eval_webgpt_loss": 2.16796875,
"eval_webgpt_runtime": 428.1397,
"eval_webgpt_samples_per_second": 9.147,
"eval_webgpt_steps_per_second": 0.764,
"step": 1000
},
{
"epoch": 1.05,
"eval_prompt_dialogue_accuracy": 0.5718087356550049,
"eval_prompt_dialogue_loss": 1.7685546875,
"eval_prompt_dialogue_runtime": 1050.2103,
"eval_prompt_dialogue_samples_per_second": 9.816,
"eval_prompt_dialogue_steps_per_second": 0.819,
"step": 1000
},
{
"epoch": 1.07,
"learning_rate": 8.177361853832442e-07,
"loss": 1.9773,
"step": 1010
},
{
"epoch": 1.08,
"learning_rate": 8.132798573975044e-07,
"loss": 2.0443,
"step": 1020
},
{
"epoch": 1.09,
"learning_rate": 8.088235294117646e-07,
"loss": 1.9528,
"step": 1030
},
{
"epoch": 1.1,
"learning_rate": 8.043672014260249e-07,
"loss": 1.9365,
"step": 1040
},
{
"epoch": 1.11,
"learning_rate": 7.999108734402852e-07,
"loss": 1.9579,
"step": 1050
},
{
"epoch": 1.12,
"learning_rate": 7.954545454545454e-07,
"loss": 1.974,
"step": 1060
},
{
"epoch": 1.13,
"learning_rate": 7.909982174688057e-07,
"loss": 1.9537,
"step": 1070
},
{
"epoch": 1.14,
"learning_rate": 7.865418894830659e-07,
"loss": 1.9373,
"step": 1080
},
{
"epoch": 1.15,
"learning_rate": 7.820855614973262e-07,
"loss": 1.9555,
"step": 1090
},
{
"epoch": 1.16,
"learning_rate": 7.776292335115863e-07,
"loss": 1.973,
"step": 1100
},
{
"epoch": 1.17,
"learning_rate": 7.731729055258467e-07,
"loss": 1.9401,
"step": 1110
},
{
"epoch": 1.18,
"learning_rate": 7.687165775401069e-07,
"loss": 1.9508,
"step": 1120
},
{
"epoch": 1.19,
"learning_rate": 7.642602495543672e-07,
"loss": 1.934,
"step": 1130
},
{
"epoch": 1.2,
"learning_rate": 7.598039215686273e-07,
"loss": 1.9325,
"step": 1140
},
{
"epoch": 1.21,
"learning_rate": 7.553475935828877e-07,
"loss": 1.9914,
"step": 1150
},
{
"epoch": 1.22,
"learning_rate": 7.508912655971479e-07,
"loss": 1.978,
"step": 1160
},
{
"epoch": 1.23,
"learning_rate": 7.464349376114081e-07,
"loss": 1.9442,
"step": 1170
},
{
"epoch": 1.24,
"learning_rate": 7.419786096256684e-07,
"loss": 1.9598,
"step": 1180
},
{
"epoch": 1.26,
"learning_rate": 7.375222816399287e-07,
"loss": 1.9529,
"step": 1190
},
{
"epoch": 1.27,
"learning_rate": 7.330659536541889e-07,
"loss": 1.9675,
"step": 1200
},
{
"epoch": 1.28,
"learning_rate": 7.286096256684492e-07,
"loss": 1.9433,
"step": 1210
},
{
"epoch": 1.29,
"learning_rate": 7.241532976827094e-07,
"loss": 1.9002,
"step": 1220
},
{
"epoch": 1.3,
"learning_rate": 7.196969696969697e-07,
"loss": 1.9349,
"step": 1230
},
{
"epoch": 1.31,
"learning_rate": 7.152406417112298e-07,
"loss": 1.9414,
"step": 1240
},
{
"epoch": 1.32,
"learning_rate": 7.107843137254902e-07,
"loss": 1.9555,
"step": 1250
},
{
"epoch": 1.32,
"eval_webgpt_accuracy": 0.526057600642472,
"eval_webgpt_loss": 2.1640625,
"eval_webgpt_runtime": 428.0509,
"eval_webgpt_samples_per_second": 9.148,
"eval_webgpt_steps_per_second": 0.764,
"step": 1250
},
{
"epoch": 1.32,
"eval_prompt_dialogue_accuracy": 0.5739159961148795,
"eval_prompt_dialogue_loss": 1.755859375,
"eval_prompt_dialogue_runtime": 1048.4647,
"eval_prompt_dialogue_samples_per_second": 9.832,
"eval_prompt_dialogue_steps_per_second": 0.82,
"step": 1250
},
{
"epoch": 1.33,
"learning_rate": 7.063279857397504e-07,
"loss": 1.983,
"step": 1260
},
{
"epoch": 1.34,
"learning_rate": 7.018716577540107e-07,
"loss": 1.983,
"step": 1270
},
{
"epoch": 1.35,
"learning_rate": 6.974153297682709e-07,
"loss": 1.9449,
"step": 1280
},
{
"epoch": 1.36,
"learning_rate": 6.929590017825312e-07,
"loss": 1.9886,
"step": 1290
},
{
"epoch": 1.37,
"learning_rate": 6.885026737967914e-07,
"loss": 1.9334,
"step": 1300
},
{
"epoch": 1.38,
"learning_rate": 6.840463458110517e-07,
"loss": 1.9732,
"step": 1310
},
{
"epoch": 1.39,
"learning_rate": 6.795900178253119e-07,
"loss": 1.9457,
"step": 1320
},
{
"epoch": 1.4,
"learning_rate": 6.751336898395722e-07,
"loss": 1.9691,
"step": 1330
},
{
"epoch": 1.41,
"learning_rate": 6.706773618538324e-07,
"loss": 2.0199,
"step": 1340
},
{
"epoch": 1.42,
"learning_rate": 6.662210338680927e-07,
"loss": 1.9492,
"step": 1350
},
{
"epoch": 1.43,
"learning_rate": 6.617647058823529e-07,
"loss": 1.9553,
"step": 1360
},
{
"epoch": 1.44,
"learning_rate": 6.573083778966132e-07,
"loss": 1.9766,
"step": 1370
},
{
"epoch": 1.46,
"learning_rate": 6.528520499108734e-07,
"loss": 1.9496,
"step": 1380
},
{
"epoch": 1.47,
"learning_rate": 6.483957219251337e-07,
"loss": 1.9677,
"step": 1390
},
{
"epoch": 1.48,
"learning_rate": 6.439393939393939e-07,
"loss": 1.9043,
"step": 1400
},
{
"epoch": 1.49,
"learning_rate": 6.394830659536542e-07,
"loss": 1.9571,
"step": 1410
},
{
"epoch": 1.5,
"learning_rate": 6.350267379679144e-07,
"loss": 1.9631,
"step": 1420
},
{
"epoch": 1.51,
"learning_rate": 6.305704099821747e-07,
"loss": 1.9587,
"step": 1430
},
{
"epoch": 1.52,
"learning_rate": 6.261140819964349e-07,
"loss": 1.9621,
"step": 1440
},
{
"epoch": 1.53,
"learning_rate": 6.216577540106952e-07,
"loss": 1.932,
"step": 1450
},
{
"epoch": 1.54,
"learning_rate": 6.172014260249554e-07,
"loss": 1.9682,
"step": 1460
},
{
"epoch": 1.55,
"learning_rate": 6.127450980392157e-07,
"loss": 1.9636,
"step": 1470
},
{
"epoch": 1.56,
"learning_rate": 6.082887700534759e-07,
"loss": 1.9538,
"step": 1480
},
{
"epoch": 1.57,
"learning_rate": 6.038324420677362e-07,
"loss": 1.9676,
"step": 1490
},
{
"epoch": 1.58,
"learning_rate": 5.998217468805704e-07,
"loss": 1.9459,
"step": 1500
},
{
"epoch": 1.58,
"eval_webgpt_accuracy": 0.526490033682041,
"eval_webgpt_loss": 2.162109375,
"eval_webgpt_runtime": 435.1199,
"eval_webgpt_samples_per_second": 9.0,
"eval_webgpt_steps_per_second": 0.752,
"step": 1500
},
{
"epoch": 1.58,
"eval_prompt_dialogue_accuracy": 0.5751027402282565,
"eval_prompt_dialogue_loss": 1.748046875,
"eval_prompt_dialogue_runtime": 1051.1439,
"eval_prompt_dialogue_samples_per_second": 9.807,
"eval_prompt_dialogue_steps_per_second": 0.818,
"step": 1500
},
{
"epoch": 1.59,
"learning_rate": 5.953654188948306e-07,
"loss": 1.9592,
"step": 1510
},
{
"epoch": 1.6,
"learning_rate": 5.909090909090909e-07,
"loss": 1.9291,
"step": 1520
},
{
"epoch": 1.61,
"learning_rate": 5.864527629233511e-07,
"loss": 1.9082,
"step": 1530
},
{
"epoch": 1.62,
"learning_rate": 5.819964349376115e-07,
"loss": 1.9357,
"step": 1540
},
{
"epoch": 1.63,
"learning_rate": 5.775401069518716e-07,
"loss": 1.9502,
"step": 1550
},
{
"epoch": 1.65,
"learning_rate": 5.730837789661319e-07,
"loss": 1.9892,
"step": 1560
},
{
"epoch": 1.66,
"learning_rate": 5.686274509803921e-07,
"loss": 1.983,
"step": 1570
},
{
"epoch": 1.67,
"learning_rate": 5.641711229946524e-07,
"loss": 1.9745,
"step": 1580
},
{
"epoch": 1.68,
"learning_rate": 5.597147950089126e-07,
"loss": 1.9541,
"step": 1590
},
{
"epoch": 1.69,
"learning_rate": 5.552584670231729e-07,
"loss": 1.9482,
"step": 1600
},
{
"epoch": 1.7,
"learning_rate": 5.508021390374332e-07,
"loss": 1.9341,
"step": 1610
},
{
"epoch": 1.71,
"learning_rate": 5.463458110516934e-07,
"loss": 1.971,
"step": 1620
},
{
"epoch": 1.72,
"learning_rate": 5.418894830659536e-07,
"loss": 1.9179,
"step": 1630
},
{
"epoch": 1.73,
"learning_rate": 5.374331550802139e-07,
"loss": 1.9049,
"step": 1640
},
{
"epoch": 1.74,
"learning_rate": 5.329768270944741e-07,
"loss": 1.9407,
"step": 1650
},
{
"epoch": 1.75,
"learning_rate": 5.285204991087344e-07,
"loss": 1.9338,
"step": 1660
},
{
"epoch": 1.76,
"learning_rate": 5.240641711229946e-07,
"loss": 1.9874,
"step": 1670
},
{
"epoch": 1.77,
"learning_rate": 5.19607843137255e-07,
"loss": 1.9699,
"step": 1680
},
{
"epoch": 1.78,
"learning_rate": 5.151515151515151e-07,
"loss": 1.9128,
"step": 1690
},
{
"epoch": 1.79,
"learning_rate": 5.106951871657754e-07,
"loss": 1.9382,
"step": 1700
},
{
"epoch": 1.8,
"learning_rate": 5.062388591800356e-07,
"loss": 1.9514,
"step": 1710
},
{
"epoch": 1.81,
"learning_rate": 5.01782531194296e-07,
"loss": 1.9499,
"step": 1720
},
{
"epoch": 1.82,
"learning_rate": 4.973262032085561e-07,
"loss": 1.9458,
"step": 1730
},
{
"epoch": 1.84,
"learning_rate": 4.928698752228163e-07,
"loss": 1.9095,
"step": 1740
},
{
"epoch": 1.85,
"learning_rate": 4.884135472370767e-07,
"loss": 1.9237,
"step": 1750
},
{
"epoch": 1.85,
"eval_webgpt_accuracy": 0.5268101464515921,
"eval_webgpt_loss": 2.16015625,
"eval_webgpt_runtime": 427.8942,
"eval_webgpt_samples_per_second": 9.152,
"eval_webgpt_steps_per_second": 0.764,
"step": 1750
},
{
"epoch": 1.85,
"eval_prompt_dialogue_accuracy": 0.5762533856613786,
"eval_prompt_dialogue_loss": 1.740234375,
"eval_prompt_dialogue_runtime": 1049.6135,
"eval_prompt_dialogue_samples_per_second": 9.822,
"eval_prompt_dialogue_steps_per_second": 0.819,
"step": 1750
},
{
"epoch": 1.86,
"learning_rate": 4.839572192513369e-07,
"loss": 1.9181,
"step": 1760
},
{
"epoch": 1.87,
"learning_rate": 4.795008912655971e-07,
"loss": 1.9393,
"step": 1770
},
{
"epoch": 1.88,
"learning_rate": 4.750445632798574e-07,
"loss": 1.9278,
"step": 1780
},
{
"epoch": 1.89,
"learning_rate": 4.705882352941176e-07,
"loss": 1.972,
"step": 1790
},
{
"epoch": 1.9,
"learning_rate": 4.6613190730837784e-07,
"loss": 1.9545,
"step": 1800
},
{
"epoch": 1.91,
"learning_rate": 4.616755793226381e-07,
"loss": 1.9324,
"step": 1810
},
{
"epoch": 1.92,
"learning_rate": 4.5721925133689835e-07,
"loss": 1.9856,
"step": 1820
},
{
"epoch": 1.93,
"learning_rate": 4.5276292335115863e-07,
"loss": 1.9013,
"step": 1830
},
{
"epoch": 1.94,
"learning_rate": 4.4830659536541886e-07,
"loss": 1.9001,
"step": 1840
},
{
"epoch": 1.95,
"learning_rate": 4.4385026737967914e-07,
"loss": 1.9326,
"step": 1850
},
{
"epoch": 1.96,
"learning_rate": 4.3939393939393937e-07,
"loss": 1.9358,
"step": 1860
},
{
"epoch": 1.97,
"learning_rate": 4.3493761140819965e-07,
"loss": 2.0019,
"step": 1870
},
{
"epoch": 1.98,
"learning_rate": 4.304812834224599e-07,
"loss": 1.941,
"step": 1880
},
{
"epoch": 1.99,
"learning_rate": 4.260249554367201e-07,
"loss": 1.9325,
"step": 1890
},
{
"epoch": 2.0,
"learning_rate": 4.2112299465240644e-07,
"loss": 2.0644,
"step": 1900
},
{
"epoch": 2.01,
"learning_rate": 4.1666666666666667e-07,
"loss": 1.9158,
"step": 1910
},
{
"epoch": 2.03,
"learning_rate": 4.122103386809269e-07,
"loss": 1.9409,
"step": 1920
},
{
"epoch": 2.04,
"learning_rate": 4.0775401069518717e-07,
"loss": 1.926,
"step": 1930
},
{
"epoch": 2.05,
"learning_rate": 4.032976827094474e-07,
"loss": 1.9212,
"step": 1940
},
{
"epoch": 2.06,
"learning_rate": 3.988413547237077e-07,
"loss": 1.9745,
"step": 1950
},
{
"epoch": 2.07,
"learning_rate": 3.943850267379679e-07,
"loss": 1.9079,
"step": 1960
},
{
"epoch": 2.08,
"learning_rate": 3.899286987522282e-07,
"loss": 1.9336,
"step": 1970
},
{
"epoch": 2.09,
"learning_rate": 3.854723707664884e-07,
"loss": 1.9242,
"step": 1980
},
{
"epoch": 2.1,
"learning_rate": 3.8101604278074864e-07,
"loss": 1.9357,
"step": 1990
},
{
"epoch": 2.11,
"learning_rate": 3.765597147950089e-07,
"loss": 1.9036,
"step": 2000
},
{
"epoch": 2.11,
"eval_webgpt_accuracy": 0.5268452465359726,
"eval_webgpt_loss": 2.158203125,
"eval_webgpt_runtime": 428.2029,
"eval_webgpt_samples_per_second": 9.145,
"eval_webgpt_steps_per_second": 0.764,
"step": 2000
},
{
"epoch": 2.11,
"eval_prompt_dialogue_accuracy": 0.5769595660938633,
"eval_prompt_dialogue_loss": 1.7373046875,
"eval_prompt_dialogue_runtime": 1052.6454,
"eval_prompt_dialogue_samples_per_second": 9.793,
"eval_prompt_dialogue_steps_per_second": 0.817,
"step": 2000
},
{
"epoch": 2.12,
"learning_rate": 3.7210338680926915e-07,
"loss": 1.8764,
"step": 2010
},
{
"epoch": 2.13,
"learning_rate": 3.6764705882352943e-07,
"loss": 1.9615,
"step": 2020
},
{
"epoch": 2.14,
"learning_rate": 3.6319073083778966e-07,
"loss": 1.914,
"step": 2030
},
{
"epoch": 2.15,
"learning_rate": 3.5873440285204994e-07,
"loss": 1.8962,
"step": 2040
},
{
"epoch": 2.16,
"learning_rate": 3.542780748663101e-07,
"loss": 1.8999,
"step": 2050
},
{
"epoch": 2.17,
"learning_rate": 3.4982174688057034e-07,
"loss": 1.9456,
"step": 2060
},
{
"epoch": 2.18,
"learning_rate": 3.453654188948306e-07,
"loss": 1.9347,
"step": 2070
},
{
"epoch": 2.19,
"learning_rate": 3.4090909090909085e-07,
"loss": 1.9102,
"step": 2080
},
{
"epoch": 2.2,
"learning_rate": 3.3645276292335113e-07,
"loss": 1.9355,
"step": 2090
},
{
"epoch": 2.22,
"learning_rate": 3.3199643493761136e-07,
"loss": 1.9204,
"step": 2100
},
{
"epoch": 2.23,
"learning_rate": 3.2754010695187164e-07,
"loss": 1.9396,
"step": 2110
},
{
"epoch": 2.24,
"learning_rate": 3.2308377896613187e-07,
"loss": 1.9057,
"step": 2120
},
{
"epoch": 2.25,
"learning_rate": 3.1862745098039215e-07,
"loss": 1.9241,
"step": 2130
},
{
"epoch": 2.26,
"learning_rate": 3.141711229946524e-07,
"loss": 1.9383,
"step": 2140
},
{
"epoch": 2.27,
"learning_rate": 3.097147950089126e-07,
"loss": 1.9197,
"step": 2150
},
{
"epoch": 2.28,
"learning_rate": 3.052584670231729e-07,
"loss": 1.8983,
"step": 2160
},
{
"epoch": 2.29,
"learning_rate": 3.008021390374331e-07,
"loss": 1.9677,
"step": 2170
},
{
"epoch": 2.3,
"learning_rate": 2.963458110516934e-07,
"loss": 1.9104,
"step": 2180
},
{
"epoch": 2.31,
"learning_rate": 2.918894830659536e-07,
"loss": 1.8994,
"step": 2190
},
{
"epoch": 2.32,
"learning_rate": 2.874331550802139e-07,
"loss": 1.9157,
"step": 2200
},
{
"epoch": 2.33,
"learning_rate": 2.829768270944741e-07,
"loss": 1.918,
"step": 2210
},
{
"epoch": 2.34,
"learning_rate": 2.7852049910873435e-07,
"loss": 1.9053,
"step": 2220
},
{
"epoch": 2.35,
"learning_rate": 2.7406417112299463e-07,
"loss": 1.8939,
"step": 2230
},
{
"epoch": 2.36,
"learning_rate": 2.6960784313725486e-07,
"loss": 1.8959,
"step": 2240
},
{
"epoch": 2.37,
"learning_rate": 2.6515151515151514e-07,
"loss": 1.9326,
"step": 2250
},
{
"epoch": 2.37,
"eval_webgpt_accuracy": 0.5270740990861342,
"eval_webgpt_loss": 2.158203125,
"eval_webgpt_runtime": 429.6721,
"eval_webgpt_samples_per_second": 9.114,
"eval_webgpt_steps_per_second": 0.761,
"step": 2250
},
{
"epoch": 2.37,
"eval_prompt_dialogue_accuracy": 0.577335217985265,
"eval_prompt_dialogue_loss": 1.7333984375,
"eval_prompt_dialogue_runtime": 1050.2434,
"eval_prompt_dialogue_samples_per_second": 9.816,
"eval_prompt_dialogue_steps_per_second": 0.819,
"step": 2250
},
{
"epoch": 2.38,
"learning_rate": 2.6069518716577537e-07,
"loss": 1.8933,
"step": 2260
},
{
"epoch": 2.39,
"learning_rate": 2.5623885918003565e-07,
"loss": 1.9186,
"step": 2270
},
{
"epoch": 2.4,
"learning_rate": 2.517825311942959e-07,
"loss": 1.9149,
"step": 2280
},
{
"epoch": 2.42,
"learning_rate": 2.473262032085561e-07,
"loss": 1.9288,
"step": 2290
},
{
"epoch": 2.43,
"learning_rate": 2.428698752228164e-07,
"loss": 1.9082,
"step": 2300
},
{
"epoch": 2.44,
"learning_rate": 2.3841354723707664e-07,
"loss": 1.9195,
"step": 2310
},
{
"epoch": 2.45,
"learning_rate": 2.339572192513369e-07,
"loss": 1.9262,
"step": 2320
},
{
"epoch": 2.46,
"learning_rate": 2.2950089126559712e-07,
"loss": 1.9096,
"step": 2330
},
{
"epoch": 2.47,
"learning_rate": 2.2504456327985737e-07,
"loss": 1.913,
"step": 2340
},
{
"epoch": 2.48,
"learning_rate": 2.2058823529411763e-07,
"loss": 1.9242,
"step": 2350
},
{
"epoch": 2.49,
"learning_rate": 2.1613190730837788e-07,
"loss": 1.9175,
"step": 2360
},
{
"epoch": 2.5,
"learning_rate": 2.1167557932263814e-07,
"loss": 1.8917,
"step": 2370
},
{
"epoch": 2.51,
"learning_rate": 2.072192513368984e-07,
"loss": 1.9024,
"step": 2380
},
{
"epoch": 2.52,
"learning_rate": 2.0276292335115864e-07,
"loss": 1.9243,
"step": 2390
},
{
"epoch": 2.53,
"learning_rate": 1.9830659536541887e-07,
"loss": 1.9269,
"step": 2400
},
{
"epoch": 2.54,
"learning_rate": 1.9385026737967912e-07,
"loss": 1.961,
"step": 2410
},
{
"epoch": 2.55,
"learning_rate": 1.8939393939393938e-07,
"loss": 1.9414,
"step": 2420
},
{
"epoch": 2.56,
"learning_rate": 1.8493761140819963e-07,
"loss": 1.9306,
"step": 2430
},
{
"epoch": 2.57,
"learning_rate": 1.804812834224599e-07,
"loss": 1.9385,
"step": 2440
},
{
"epoch": 2.58,
"learning_rate": 1.7602495543672014e-07,
"loss": 1.9304,
"step": 2450
},
{
"epoch": 2.59,
"learning_rate": 1.715686274509804e-07,
"loss": 1.9214,
"step": 2460
},
{
"epoch": 2.61,
"learning_rate": 1.6711229946524065e-07,
"loss": 1.9854,
"step": 2470
},
{
"epoch": 2.62,
"learning_rate": 1.6265597147950088e-07,
"loss": 1.91,
"step": 2480
},
{
"epoch": 2.63,
"learning_rate": 1.5819964349376113e-07,
"loss": 1.9317,
"step": 2490
},
{
"epoch": 2.64,
"learning_rate": 1.5463458110516933e-07,
"loss": 1.9087,
"step": 2500
},
{
"epoch": 2.64,
"eval_webgpt_accuracy": 0.5270825231063856,
"eval_webgpt_loss": 2.15625,
"eval_webgpt_runtime": 426.8235,
"eval_webgpt_samples_per_second": 9.175,
"eval_webgpt_steps_per_second": 0.766,
"step": 2500
},
{
"epoch": 2.64,
"eval_prompt_dialogue_accuracy": 0.5776905643690232,
"eval_prompt_dialogue_loss": 1.7314453125,
"eval_prompt_dialogue_runtime": 1054.4289,
"eval_prompt_dialogue_samples_per_second": 9.777,
"eval_prompt_dialogue_steps_per_second": 0.816,
"step": 2500
}
],
"max_steps": 2844,
"num_train_epochs": 3,
"total_flos": 147144228831232.0,
"trial_name": null,
"trial_params": null
}