ed2wewtu / checkpoint-4000 /trainer_state.json
roonbug's picture
Upload folder using huggingface_hub
ee6021e verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.2,
"eval_steps": 100,
"global_step": 4000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 2.5604241602122784,
"epoch": 0.008,
"grad_norm": 360.0,
"learning_rate": 1.8e-07,
"loss": 6.7873,
"mean_token_accuracy": 0.21116912770085036,
"num_tokens": 175126.0,
"step": 10
},
{
"entropy": 2.595553621649742,
"epoch": 0.016,
"grad_norm": 372.0,
"learning_rate": 3.8e-07,
"loss": 6.7228,
"mean_token_accuracy": 0.20832345820963383,
"num_tokens": 340696.0,
"step": 20
},
{
"entropy": 2.6845590390264986,
"epoch": 0.024,
"grad_norm": 270.0,
"learning_rate": 5.800000000000001e-07,
"loss": 6.3033,
"mean_token_accuracy": 0.21763876075856387,
"num_tokens": 509066.0,
"step": 30
},
{
"entropy": 2.8930466674268245,
"epoch": 0.032,
"grad_norm": 302.0,
"learning_rate": 7.8e-07,
"loss": 5.6306,
"mean_token_accuracy": 0.22912178803235292,
"num_tokens": 675930.0,
"step": 40
},
{
"entropy": 3.081789229810238,
"epoch": 0.04,
"grad_norm": 123.0,
"learning_rate": 9.800000000000001e-07,
"loss": 4.9613,
"mean_token_accuracy": 0.24729052558541298,
"num_tokens": 841685.0,
"step": 50
},
{
"entropy": 3.404916675388813,
"epoch": 0.048,
"grad_norm": 66.0,
"learning_rate": 1.1800000000000001e-06,
"loss": 4.2301,
"mean_token_accuracy": 0.27200257908552883,
"num_tokens": 1007956.0,
"step": 60
},
{
"entropy": 3.6782597199082376,
"epoch": 0.056,
"grad_norm": 38.0,
"learning_rate": 1.3800000000000001e-06,
"loss": 3.7823,
"mean_token_accuracy": 0.3019493265077472,
"num_tokens": 1174735.0,
"step": 70
},
{
"entropy": 3.4533004209399225,
"epoch": 0.064,
"grad_norm": 33.75,
"learning_rate": 1.5800000000000001e-06,
"loss": 3.4895,
"mean_token_accuracy": 0.33877146458253266,
"num_tokens": 1340560.0,
"step": 80
},
{
"entropy": 3.139299413561821,
"epoch": 0.072,
"grad_norm": 31.625,
"learning_rate": 1.7800000000000001e-06,
"loss": 3.1861,
"mean_token_accuracy": 0.3694635771214962,
"num_tokens": 1510110.0,
"step": 90
},
{
"entropy": 2.9895101204514503,
"epoch": 0.08,
"grad_norm": 21.25,
"learning_rate": 1.98e-06,
"loss": 2.9954,
"mean_token_accuracy": 0.39561883062124253,
"num_tokens": 1679432.0,
"step": 100
},
{
"epoch": 0.08,
"eval_coding_entropy": 2.0758819575309753,
"eval_coding_loss": 2.1979613304138184,
"eval_coding_mean_token_accuracy": 0.502328829407692,
"eval_coding_num_tokens": 1679432.0,
"eval_coding_runtime": 79.4698,
"eval_coding_samples_per_second": 6.292,
"eval_coding_steps_per_second": 3.146,
"step": 100
},
{
"epoch": 0.08,
"eval_physics_entropy": 2.9290144443511963,
"eval_physics_loss": 2.974918842315674,
"eval_physics_mean_token_accuracy": 0.40643512630462647,
"eval_physics_num_tokens": 1679432.0,
"eval_physics_runtime": 52.0573,
"eval_physics_samples_per_second": 9.605,
"eval_physics_steps_per_second": 4.802,
"step": 100
},
{
"entropy": 2.8267079159617423,
"epoch": 0.088,
"grad_norm": 21.125,
"learning_rate": 2.1800000000000003e-06,
"loss": 2.8166,
"mean_token_accuracy": 0.4188435094431043,
"num_tokens": 1848521.0,
"step": 110
},
{
"entropy": 2.731858339905739,
"epoch": 0.096,
"grad_norm": 19.625,
"learning_rate": 2.38e-06,
"loss": 2.7192,
"mean_token_accuracy": 0.43734086528420446,
"num_tokens": 2021570.0,
"step": 120
},
{
"entropy": 2.742488440871239,
"epoch": 0.104,
"grad_norm": 20.5,
"learning_rate": 2.5800000000000003e-06,
"loss": 2.7106,
"mean_token_accuracy": 0.4448789706453681,
"num_tokens": 2186993.0,
"step": 130
},
{
"entropy": 2.546742835640907,
"epoch": 0.112,
"grad_norm": 19.875,
"learning_rate": 2.7800000000000005e-06,
"loss": 2.5347,
"mean_token_accuracy": 0.46661383416503666,
"num_tokens": 2359297.0,
"step": 140
},
{
"entropy": 2.5924400255084037,
"epoch": 0.12,
"grad_norm": 21.25,
"learning_rate": 2.9800000000000003e-06,
"loss": 2.5665,
"mean_token_accuracy": 0.4689426450058818,
"num_tokens": 2522375.0,
"step": 150
},
{
"entropy": 2.4927076123654843,
"epoch": 0.128,
"grad_norm": 21.125,
"learning_rate": 3.1800000000000005e-06,
"loss": 2.4571,
"mean_token_accuracy": 0.4879589693620801,
"num_tokens": 2683168.0,
"step": 160
},
{
"entropy": 2.4049933359026907,
"epoch": 0.136,
"grad_norm": 18.5,
"learning_rate": 3.3800000000000007e-06,
"loss": 2.3829,
"mean_token_accuracy": 0.4920692486688495,
"num_tokens": 2850132.0,
"step": 170
},
{
"entropy": 2.3835881277918816,
"epoch": 0.144,
"grad_norm": 20.5,
"learning_rate": 3.58e-06,
"loss": 2.3245,
"mean_token_accuracy": 0.5039734555408358,
"num_tokens": 3019426.0,
"step": 180
},
{
"entropy": 2.3372473388910295,
"epoch": 0.152,
"grad_norm": 18.25,
"learning_rate": 3.7800000000000002e-06,
"loss": 2.3194,
"mean_token_accuracy": 0.5051064729690552,
"num_tokens": 3182640.0,
"step": 190
},
{
"entropy": 2.27973321005702,
"epoch": 0.16,
"grad_norm": 21.125,
"learning_rate": 3.980000000000001e-06,
"loss": 2.213,
"mean_token_accuracy": 0.5190408078953623,
"num_tokens": 3354390.0,
"step": 200
},
{
"epoch": 0.16,
"eval_coding_entropy": 1.9250439591407775,
"eval_coding_loss": 2.1208813190460205,
"eval_coding_mean_token_accuracy": 0.5191248273849487,
"eval_coding_num_tokens": 3354390.0,
"eval_coding_runtime": 79.1564,
"eval_coding_samples_per_second": 6.317,
"eval_coding_steps_per_second": 3.158,
"step": 200
},
{
"epoch": 0.16,
"eval_physics_entropy": 2.230250364303589,
"eval_physics_loss": 2.271095037460327,
"eval_physics_mean_token_accuracy": 0.5189732195138931,
"eval_physics_num_tokens": 3354390.0,
"eval_physics_runtime": 52.0613,
"eval_physics_samples_per_second": 9.604,
"eval_physics_steps_per_second": 4.802,
"step": 200
},
{
"entropy": 2.265408169478178,
"epoch": 0.168,
"grad_norm": 20.5,
"learning_rate": 4.18e-06,
"loss": 2.2294,
"mean_token_accuracy": 0.5198547914624214,
"num_tokens": 3521075.0,
"step": 210
},
{
"entropy": 2.2567644871771337,
"epoch": 0.176,
"grad_norm": 26.375,
"learning_rate": 4.38e-06,
"loss": 2.1962,
"mean_token_accuracy": 0.5276498578488826,
"num_tokens": 3684374.0,
"step": 220
},
{
"entropy": 2.2172055408358573,
"epoch": 0.184,
"grad_norm": 18.5,
"learning_rate": 4.58e-06,
"loss": 2.1651,
"mean_token_accuracy": 0.5290316773578525,
"num_tokens": 3848536.0,
"step": 230
},
{
"entropy": 2.152971290051937,
"epoch": 0.192,
"grad_norm": 18.75,
"learning_rate": 4.78e-06,
"loss": 2.1125,
"mean_token_accuracy": 0.5370275607332587,
"num_tokens": 4023915.0,
"step": 240
},
{
"entropy": 2.148153053969145,
"epoch": 0.2,
"grad_norm": 20.125,
"learning_rate": 4.980000000000001e-06,
"loss": 2.1104,
"mean_token_accuracy": 0.541122961603105,
"num_tokens": 4190485.0,
"step": 250
},
{
"entropy": 2.0243859082460403,
"epoch": 0.208,
"grad_norm": 18.125,
"learning_rate": 5.18e-06,
"loss": 1.975,
"mean_token_accuracy": 0.558369823731482,
"num_tokens": 4352045.0,
"step": 260
},
{
"entropy": 2.0731096126139166,
"epoch": 0.216,
"grad_norm": 19.625,
"learning_rate": 5.380000000000001e-06,
"loss": 2.0131,
"mean_token_accuracy": 0.5515947749838233,
"num_tokens": 4514042.0,
"step": 270
},
{
"entropy": 2.0090589359402657,
"epoch": 0.224,
"grad_norm": 17.375,
"learning_rate": 5.580000000000001e-06,
"loss": 1.9505,
"mean_token_accuracy": 0.5629682159051299,
"num_tokens": 4681371.0,
"step": 280
},
{
"entropy": 2.002196607738733,
"epoch": 0.232,
"grad_norm": 18.625,
"learning_rate": 5.78e-06,
"loss": 1.958,
"mean_token_accuracy": 0.5620508158579469,
"num_tokens": 4847650.0,
"step": 290
},
{
"entropy": 1.9909410774707794,
"epoch": 0.24,
"grad_norm": 18.375,
"learning_rate": 5.98e-06,
"loss": 1.9375,
"mean_token_accuracy": 0.5657549701631069,
"num_tokens": 5021784.0,
"step": 300
},
{
"epoch": 0.24,
"eval_coding_entropy": 1.916715157032013,
"eval_coding_loss": 2.0919320583343506,
"eval_coding_mean_token_accuracy": 0.5256761227846145,
"eval_coding_num_tokens": 5021784.0,
"eval_coding_runtime": 79.1652,
"eval_coding_samples_per_second": 6.316,
"eval_coding_steps_per_second": 3.158,
"step": 300
},
{
"epoch": 0.24,
"eval_physics_entropy": 1.9569331226348876,
"eval_physics_loss": 1.9659218788146973,
"eval_physics_mean_token_accuracy": 0.5716171189546585,
"eval_physics_num_tokens": 5021784.0,
"eval_physics_runtime": 52.0616,
"eval_physics_samples_per_second": 9.604,
"eval_physics_steps_per_second": 4.802,
"step": 300
},
{
"entropy": 1.9608435668051243,
"epoch": 0.248,
"grad_norm": 17.125,
"learning_rate": 6.18e-06,
"loss": 1.9066,
"mean_token_accuracy": 0.5718545202165842,
"num_tokens": 5201507.0,
"step": 310
},
{
"entropy": 1.929166065901518,
"epoch": 0.256,
"grad_norm": 16.875,
"learning_rate": 6.380000000000001e-06,
"loss": 1.8819,
"mean_token_accuracy": 0.5770876344293356,
"num_tokens": 5367308.0,
"step": 320
},
{
"entropy": 1.9197401903569697,
"epoch": 0.264,
"grad_norm": 18.5,
"learning_rate": 6.5800000000000005e-06,
"loss": 1.8598,
"mean_token_accuracy": 0.5781059630215168,
"num_tokens": 5536442.0,
"step": 330
},
{
"entropy": 1.9471155002713203,
"epoch": 0.272,
"grad_norm": 21.5,
"learning_rate": 6.780000000000001e-06,
"loss": 1.8791,
"mean_token_accuracy": 0.5742578504607081,
"num_tokens": 5699101.0,
"step": 340
},
{
"entropy": 1.8642883323132993,
"epoch": 0.28,
"grad_norm": 17.875,
"learning_rate": 6.98e-06,
"loss": 1.8298,
"mean_token_accuracy": 0.587579975090921,
"num_tokens": 5860398.0,
"step": 350
},
{
"entropy": 1.883735204488039,
"epoch": 0.288,
"grad_norm": 19.75,
"learning_rate": 7.180000000000001e-06,
"loss": 1.8306,
"mean_token_accuracy": 0.5885121200233698,
"num_tokens": 6022837.0,
"step": 360
},
{
"entropy": 1.832478718459606,
"epoch": 0.296,
"grad_norm": 17.0,
"learning_rate": 7.3800000000000005e-06,
"loss": 1.7789,
"mean_token_accuracy": 0.5987123249098658,
"num_tokens": 6183758.0,
"step": 370
},
{
"entropy": 1.8392824359238147,
"epoch": 0.304,
"grad_norm": 15.1875,
"learning_rate": 7.58e-06,
"loss": 1.7763,
"mean_token_accuracy": 0.595327608473599,
"num_tokens": 6343826.0,
"step": 380
},
{
"entropy": 1.8003668662160635,
"epoch": 0.312,
"grad_norm": 19.5,
"learning_rate": 7.78e-06,
"loss": 1.7664,
"mean_token_accuracy": 0.5983955936506391,
"num_tokens": 6502713.0,
"step": 390
},
{
"entropy": 1.7905294828116893,
"epoch": 0.32,
"grad_norm": 15.3125,
"learning_rate": 7.980000000000002e-06,
"loss": 1.7435,
"mean_token_accuracy": 0.6020280076190829,
"num_tokens": 6670164.0,
"step": 400
},
{
"epoch": 0.32,
"eval_coding_entropy": 1.8930716361999511,
"eval_coding_loss": 2.0930795669555664,
"eval_coding_mean_token_accuracy": 0.5246047481298447,
"eval_coding_num_tokens": 6670164.0,
"eval_coding_runtime": 79.1697,
"eval_coding_samples_per_second": 6.316,
"eval_coding_steps_per_second": 3.158,
"step": 400
},
{
"epoch": 0.32,
"eval_physics_entropy": 1.7485348978042603,
"eval_physics_loss": 1.7591620683670044,
"eval_physics_mean_token_accuracy": 0.6077653738260269,
"eval_physics_num_tokens": 6670164.0,
"eval_physics_runtime": 52.1144,
"eval_physics_samples_per_second": 9.594,
"eval_physics_steps_per_second": 4.797,
"step": 400
},
{
"entropy": 1.791950485110283,
"epoch": 0.328,
"grad_norm": 16.25,
"learning_rate": 8.18e-06,
"loss": 1.7309,
"mean_token_accuracy": 0.60343619287014,
"num_tokens": 6831503.0,
"step": 410
},
{
"entropy": 1.6932228744029998,
"epoch": 0.336,
"grad_norm": 17.75,
"learning_rate": 8.380000000000001e-06,
"loss": 1.6384,
"mean_token_accuracy": 0.6203264124691487,
"num_tokens": 7003404.0,
"step": 420
},
{
"entropy": 1.6966097623109817,
"epoch": 0.344,
"grad_norm": 19.75,
"learning_rate": 8.580000000000001e-06,
"loss": 1.6428,
"mean_token_accuracy": 0.6151626098901033,
"num_tokens": 7172909.0,
"step": 430
},
{
"entropy": 1.688229451328516,
"epoch": 0.352,
"grad_norm": 18.625,
"learning_rate": 8.78e-06,
"loss": 1.6446,
"mean_token_accuracy": 0.619301825016737,
"num_tokens": 7342593.0,
"step": 440
},
{
"entropy": 1.684376384317875,
"epoch": 0.36,
"grad_norm": 15.1875,
"learning_rate": 8.98e-06,
"loss": 1.6384,
"mean_token_accuracy": 0.6227533668279648,
"num_tokens": 7506313.0,
"step": 450
},
{
"entropy": 1.6351792596280574,
"epoch": 0.368,
"grad_norm": 17.5,
"learning_rate": 9.180000000000002e-06,
"loss": 1.5883,
"mean_token_accuracy": 0.6302843233570457,
"num_tokens": 7675569.0,
"step": 460
},
{
"entropy": 1.6966083988547325,
"epoch": 0.376,
"grad_norm": 18.625,
"learning_rate": 9.38e-06,
"loss": 1.6569,
"mean_token_accuracy": 0.6154216848313808,
"num_tokens": 7842654.0,
"step": 470
},
{
"entropy": 1.6671229541301726,
"epoch": 0.384,
"grad_norm": 16.625,
"learning_rate": 9.58e-06,
"loss": 1.6255,
"mean_token_accuracy": 0.6238152993842959,
"num_tokens": 8012218.0,
"step": 480
},
{
"entropy": 1.634845321625471,
"epoch": 0.392,
"grad_norm": 15.0,
"learning_rate": 9.780000000000001e-06,
"loss": 1.6026,
"mean_token_accuracy": 0.6318565379828215,
"num_tokens": 8181305.0,
"step": 490
},
{
"entropy": 1.5764483150094748,
"epoch": 0.4,
"grad_norm": 16.125,
"learning_rate": 9.980000000000001e-06,
"loss": 1.5239,
"mean_token_accuracy": 0.6454750349745154,
"num_tokens": 8350120.0,
"step": 500
},
{
"epoch": 0.4,
"eval_coding_entropy": 1.9365736389160155,
"eval_coding_loss": 2.0959813594818115,
"eval_coding_mean_token_accuracy": 0.5250564186573029,
"eval_coding_num_tokens": 8350120.0,
"eval_coding_runtime": 79.1814,
"eval_coding_samples_per_second": 6.315,
"eval_coding_steps_per_second": 3.157,
"step": 500
},
{
"epoch": 0.4,
"eval_physics_entropy": 1.671481309890747,
"eval_physics_loss": 1.6045700311660767,
"eval_physics_mean_token_accuracy": 0.6350576342344284,
"eval_physics_num_tokens": 8350120.0,
"eval_physics_runtime": 51.8423,
"eval_physics_samples_per_second": 9.645,
"eval_physics_steps_per_second": 4.822,
"step": 500
},
{
"entropy": 1.5771338425576686,
"epoch": 0.408,
"grad_norm": 15.3125,
"learning_rate": 1.018e-05,
"loss": 1.5352,
"mean_token_accuracy": 0.6389181109145283,
"num_tokens": 8520118.0,
"step": 510
},
{
"entropy": 1.5821339197456836,
"epoch": 0.416,
"grad_norm": 16.125,
"learning_rate": 1.038e-05,
"loss": 1.5332,
"mean_token_accuracy": 0.6355980787426233,
"num_tokens": 8688773.0,
"step": 520
},
{
"entropy": 1.5948798354715108,
"epoch": 0.424,
"grad_norm": 15.625,
"learning_rate": 1.0580000000000002e-05,
"loss": 1.5238,
"mean_token_accuracy": 0.6424462385475636,
"num_tokens": 8855184.0,
"step": 530
},
{
"entropy": 1.529571657255292,
"epoch": 0.432,
"grad_norm": 14.0625,
"learning_rate": 1.0780000000000002e-05,
"loss": 1.4919,
"mean_token_accuracy": 0.6440655821934342,
"num_tokens": 9022094.0,
"step": 540
},
{
"entropy": 1.5117546495050191,
"epoch": 0.44,
"grad_norm": 16.375,
"learning_rate": 1.0980000000000002e-05,
"loss": 1.4678,
"mean_token_accuracy": 0.6497685741633177,
"num_tokens": 9190509.0,
"step": 550
},
{
"entropy": 1.513111385703087,
"epoch": 0.448,
"grad_norm": 16.25,
"learning_rate": 1.1180000000000001e-05,
"loss": 1.4693,
"mean_token_accuracy": 0.6491031926125288,
"num_tokens": 9360608.0,
"step": 560
},
{
"entropy": 1.470874259248376,
"epoch": 0.456,
"grad_norm": 14.3125,
"learning_rate": 1.138e-05,
"loss": 1.415,
"mean_token_accuracy": 0.6601609066128731,
"num_tokens": 9522789.0,
"step": 570
},
{
"entropy": 1.5079048488289117,
"epoch": 0.464,
"grad_norm": 15.875,
"learning_rate": 1.1580000000000001e-05,
"loss": 1.4715,
"mean_token_accuracy": 0.6530725235119462,
"num_tokens": 9688896.0,
"step": 580
},
{
"entropy": 1.4853499613702297,
"epoch": 0.472,
"grad_norm": 14.125,
"learning_rate": 1.178e-05,
"loss": 1.4262,
"mean_token_accuracy": 0.6561389841139317,
"num_tokens": 9858464.0,
"step": 590
},
{
"entropy": 1.5173018813133239,
"epoch": 0.48,
"grad_norm": 21.375,
"learning_rate": 1.198e-05,
"loss": 1.4895,
"mean_token_accuracy": 0.6496954914182425,
"num_tokens": 10025864.0,
"step": 600
},
{
"epoch": 0.48,
"eval_coding_entropy": 1.953908012866974,
"eval_coding_loss": 2.1033880710601807,
"eval_coding_mean_token_accuracy": 0.5249351325035095,
"eval_coding_num_tokens": 10025864.0,
"eval_coding_runtime": 79.131,
"eval_coding_samples_per_second": 6.319,
"eval_coding_steps_per_second": 3.159,
"step": 600
},
{
"epoch": 0.48,
"eval_physics_entropy": 1.541918823480606,
"eval_physics_loss": 1.4983493089675903,
"eval_physics_mean_token_accuracy": 0.6534626665115356,
"eval_physics_num_tokens": 10025864.0,
"eval_physics_runtime": 52.0434,
"eval_physics_samples_per_second": 9.607,
"eval_physics_steps_per_second": 4.804,
"step": 600
},
{
"entropy": 1.4748347599059344,
"epoch": 0.488,
"grad_norm": 16.625,
"learning_rate": 1.218e-05,
"loss": 1.4246,
"mean_token_accuracy": 0.6571080841124057,
"num_tokens": 10191232.0,
"step": 610
},
{
"entropy": 1.5049679655581714,
"epoch": 0.496,
"grad_norm": 14.6875,
"learning_rate": 1.2380000000000002e-05,
"loss": 1.4596,
"mean_token_accuracy": 0.6528839386999608,
"num_tokens": 10362573.0,
"step": 620
},
{
"entropy": 1.4375012002885341,
"epoch": 0.504,
"grad_norm": 14.4375,
"learning_rate": 1.2580000000000002e-05,
"loss": 1.3841,
"mean_token_accuracy": 0.6608929991722107,
"num_tokens": 10528450.0,
"step": 630
},
{
"entropy": 1.5176888063549996,
"epoch": 0.512,
"grad_norm": 14.25,
"learning_rate": 1.2780000000000001e-05,
"loss": 1.4569,
"mean_token_accuracy": 0.6528515750542283,
"num_tokens": 10694440.0,
"step": 640
},
{
"entropy": 1.4692929420620202,
"epoch": 0.52,
"grad_norm": 10.6875,
"learning_rate": 1.2980000000000001e-05,
"loss": 1.4449,
"mean_token_accuracy": 0.655676519870758,
"num_tokens": 10857597.0,
"step": 650
},
{
"entropy": 1.4483005907386541,
"epoch": 0.528,
"grad_norm": 12.125,
"learning_rate": 1.3180000000000001e-05,
"loss": 1.4046,
"mean_token_accuracy": 0.665894140675664,
"num_tokens": 11022357.0,
"step": 660
},
{
"entropy": 1.3869127415120601,
"epoch": 0.536,
"grad_norm": 12.8125,
"learning_rate": 1.3380000000000002e-05,
"loss": 1.3467,
"mean_token_accuracy": 0.672945449501276,
"num_tokens": 11185045.0,
"step": 670
},
{
"entropy": 1.4482205394655465,
"epoch": 0.544,
"grad_norm": 12.8125,
"learning_rate": 1.3580000000000002e-05,
"loss": 1.3907,
"mean_token_accuracy": 0.6631886938586831,
"num_tokens": 11345911.0,
"step": 680
},
{
"entropy": 1.4304094772785902,
"epoch": 0.552,
"grad_norm": 13.125,
"learning_rate": 1.378e-05,
"loss": 1.3881,
"mean_token_accuracy": 0.6646447636187076,
"num_tokens": 11518974.0,
"step": 690
},
{
"entropy": 1.3900580175220967,
"epoch": 0.56,
"grad_norm": 10.875,
"learning_rate": 1.398e-05,
"loss": 1.34,
"mean_token_accuracy": 0.6744402695447207,
"num_tokens": 11687225.0,
"step": 700
},
{
"epoch": 0.56,
"eval_coding_entropy": 1.8969693536758423,
"eval_coding_loss": 2.1377148628234863,
"eval_coding_mean_token_accuracy": 0.5214611231088638,
"eval_coding_num_tokens": 11687225.0,
"eval_coding_runtime": 79.1442,
"eval_coding_samples_per_second": 6.318,
"eval_coding_steps_per_second": 3.159,
"step": 700
},
{
"epoch": 0.56,
"eval_physics_entropy": 1.3678591132164002,
"eval_physics_loss": 1.3962782621383667,
"eval_physics_mean_token_accuracy": 0.6698634608983993,
"eval_physics_num_tokens": 11687225.0,
"eval_physics_runtime": 52.0406,
"eval_physics_samples_per_second": 9.608,
"eval_physics_steps_per_second": 4.804,
"step": 700
},
{
"entropy": 1.3716834906488657,
"epoch": 0.568,
"grad_norm": 18.125,
"learning_rate": 1.418e-05,
"loss": 1.342,
"mean_token_accuracy": 0.67361662350595,
"num_tokens": 11848324.0,
"step": 710
},
{
"entropy": 1.3629539489746094,
"epoch": 0.576,
"grad_norm": 12.9375,
"learning_rate": 1.4380000000000001e-05,
"loss": 1.3293,
"mean_token_accuracy": 0.6735996751114726,
"num_tokens": 12015720.0,
"step": 720
},
{
"entropy": 1.3565699491649865,
"epoch": 0.584,
"grad_norm": 13.0625,
"learning_rate": 1.4580000000000001e-05,
"loss": 1.3375,
"mean_token_accuracy": 0.6773057371377945,
"num_tokens": 12178798.0,
"step": 730
},
{
"entropy": 1.3613810572773217,
"epoch": 0.592,
"grad_norm": 12.125,
"learning_rate": 1.478e-05,
"loss": 1.319,
"mean_token_accuracy": 0.6774894919246435,
"num_tokens": 12343393.0,
"step": 740
},
{
"entropy": 1.3767595831304789,
"epoch": 0.6,
"grad_norm": 11.6875,
"learning_rate": 1.498e-05,
"loss": 1.3265,
"mean_token_accuracy": 0.6750151777639986,
"num_tokens": 12509336.0,
"step": 750
},
{
"entropy": 1.3187911182641983,
"epoch": 0.608,
"grad_norm": 12.5,
"learning_rate": 1.5180000000000002e-05,
"loss": 1.2905,
"mean_token_accuracy": 0.6845489364117384,
"num_tokens": 12671474.0,
"step": 760
},
{
"entropy": 1.3427253626286983,
"epoch": 0.616,
"grad_norm": 10.75,
"learning_rate": 1.5380000000000002e-05,
"loss": 1.2963,
"mean_token_accuracy": 0.6806909158825875,
"num_tokens": 12835956.0,
"step": 770
},
{
"entropy": 1.3635981816798448,
"epoch": 0.624,
"grad_norm": 11.0,
"learning_rate": 1.5580000000000003e-05,
"loss": 1.3102,
"mean_token_accuracy": 0.6765737216919661,
"num_tokens": 12996077.0,
"step": 780
},
{
"entropy": 1.3231649551540614,
"epoch": 0.632,
"grad_norm": 12.375,
"learning_rate": 1.578e-05,
"loss": 1.2993,
"mean_token_accuracy": 0.6843808237463236,
"num_tokens": 13162966.0,
"step": 790
},
{
"entropy": 1.3815045531839132,
"epoch": 0.64,
"grad_norm": 11.0,
"learning_rate": 1.5980000000000003e-05,
"loss": 1.3403,
"mean_token_accuracy": 0.676003416068852,
"num_tokens": 13325291.0,
"step": 800
},
{
"epoch": 0.64,
"eval_coding_entropy": 1.8999772543907165,
"eval_coding_loss": 2.137219190597534,
"eval_coding_mean_token_accuracy": 0.5216508195400238,
"eval_coding_num_tokens": 13325291.0,
"eval_coding_runtime": 79.1227,
"eval_coding_samples_per_second": 6.319,
"eval_coding_steps_per_second": 3.16,
"step": 800
},
{
"epoch": 0.64,
"eval_physics_entropy": 1.3213207037448884,
"eval_physics_loss": 1.3272991180419922,
"eval_physics_mean_token_accuracy": 0.6834507223367691,
"eval_physics_num_tokens": 13325291.0,
"eval_physics_runtime": 52.0498,
"eval_physics_samples_per_second": 9.606,
"eval_physics_steps_per_second": 4.803,
"step": 800
},
{
"entropy": 1.3278860542923212,
"epoch": 0.648,
"grad_norm": 12.0,
"learning_rate": 1.618e-05,
"loss": 1.2916,
"mean_token_accuracy": 0.6818249279633164,
"num_tokens": 13495304.0,
"step": 810
},
{
"entropy": 1.2705524377524853,
"epoch": 0.656,
"grad_norm": 10.875,
"learning_rate": 1.638e-05,
"loss": 1.2362,
"mean_token_accuracy": 0.6954903973266482,
"num_tokens": 13671434.0,
"step": 820
},
{
"entropy": 1.3271659668534994,
"epoch": 0.664,
"grad_norm": 13.375,
"learning_rate": 1.658e-05,
"loss": 1.2753,
"mean_token_accuracy": 0.6867586117237806,
"num_tokens": 13829692.0,
"step": 830
},
{
"entropy": 1.2718054752796888,
"epoch": 0.672,
"grad_norm": 11.125,
"learning_rate": 1.6780000000000002e-05,
"loss": 1.2239,
"mean_token_accuracy": 0.6929404513910413,
"num_tokens": 13993668.0,
"step": 840
},
{
"entropy": 1.2376167189329863,
"epoch": 0.68,
"grad_norm": 9.75,
"learning_rate": 1.698e-05,
"loss": 1.2134,
"mean_token_accuracy": 0.6992333011701704,
"num_tokens": 14173446.0,
"step": 850
},
{
"entropy": 1.3201266448944806,
"epoch": 0.688,
"grad_norm": 9.0625,
"learning_rate": 1.718e-05,
"loss": 1.2773,
"mean_token_accuracy": 0.6858949340879917,
"num_tokens": 14334907.0,
"step": 860
},
{
"entropy": 1.2640008773654698,
"epoch": 0.696,
"grad_norm": 8.875,
"learning_rate": 1.7380000000000003e-05,
"loss": 1.237,
"mean_token_accuracy": 0.6919090248644352,
"num_tokens": 14512555.0,
"step": 870
},
{
"entropy": 1.2943935077637434,
"epoch": 0.704,
"grad_norm": 11.9375,
"learning_rate": 1.758e-05,
"loss": 1.2627,
"mean_token_accuracy": 0.6883153811097145,
"num_tokens": 14670639.0,
"step": 880
},
{
"entropy": 1.2209337592124938,
"epoch": 0.712,
"grad_norm": 10.5,
"learning_rate": 1.7780000000000003e-05,
"loss": 1.2024,
"mean_token_accuracy": 0.7000889934599399,
"num_tokens": 14832916.0,
"step": 890
},
{
"entropy": 1.2753230314701796,
"epoch": 0.72,
"grad_norm": 9.0,
"learning_rate": 1.798e-05,
"loss": 1.2268,
"mean_token_accuracy": 0.6935238633304834,
"num_tokens": 14987995.0,
"step": 900
},
{
"epoch": 0.72,
"eval_coding_entropy": 1.9145963129997254,
"eval_coding_loss": 2.1864311695098877,
"eval_coding_mean_token_accuracy": 0.5160261226892471,
"eval_coding_num_tokens": 14987995.0,
"eval_coding_runtime": 79.3569,
"eval_coding_samples_per_second": 6.301,
"eval_coding_steps_per_second": 3.15,
"step": 900
},
{
"epoch": 0.72,
"eval_physics_entropy": 1.288757406234741,
"eval_physics_loss": 1.2604119777679443,
"eval_physics_mean_token_accuracy": 0.6937535845041275,
"eval_physics_num_tokens": 14987995.0,
"eval_physics_runtime": 52.2126,
"eval_physics_samples_per_second": 9.576,
"eval_physics_steps_per_second": 4.788,
"step": 900
},
{
"entropy": 1.208376468345523,
"epoch": 0.728,
"grad_norm": 10.3125,
"learning_rate": 1.8180000000000002e-05,
"loss": 1.1886,
"mean_token_accuracy": 0.7017698954790831,
"num_tokens": 15158982.0,
"step": 910
},
{
"entropy": 1.2472068972885608,
"epoch": 0.736,
"grad_norm": 9.6875,
"learning_rate": 1.8380000000000004e-05,
"loss": 1.2129,
"mean_token_accuracy": 0.6974750630557537,
"num_tokens": 15324659.0,
"step": 920
},
{
"entropy": 1.225362879037857,
"epoch": 0.744,
"grad_norm": 10.4375,
"learning_rate": 1.858e-05,
"loss": 1.183,
"mean_token_accuracy": 0.7002156199887395,
"num_tokens": 15493621.0,
"step": 930
},
{
"entropy": 1.2113514818251132,
"epoch": 0.752,
"grad_norm": 11.3125,
"learning_rate": 1.878e-05,
"loss": 1.1911,
"mean_token_accuracy": 0.7010745037347078,
"num_tokens": 15657342.0,
"step": 940
},
{
"entropy": 1.251608308404684,
"epoch": 0.76,
"grad_norm": 9.0,
"learning_rate": 1.898e-05,
"loss": 1.2108,
"mean_token_accuracy": 0.6982708286494017,
"num_tokens": 15815189.0,
"step": 950
},
{
"entropy": 1.2250138234347105,
"epoch": 0.768,
"grad_norm": 9.375,
"learning_rate": 1.918e-05,
"loss": 1.2033,
"mean_token_accuracy": 0.6997085321694613,
"num_tokens": 15988993.0,
"step": 960
},
{
"entropy": 1.2000590208917856,
"epoch": 0.776,
"grad_norm": 10.375,
"learning_rate": 1.938e-05,
"loss": 1.1522,
"mean_token_accuracy": 0.7049363922327757,
"num_tokens": 16163512.0,
"step": 970
},
{
"entropy": 1.2060553971678019,
"epoch": 0.784,
"grad_norm": 7.875,
"learning_rate": 1.9580000000000002e-05,
"loss": 1.1664,
"mean_token_accuracy": 0.7088450845330954,
"num_tokens": 16333857.0,
"step": 980
},
{
"entropy": 1.1793909084051848,
"epoch": 0.792,
"grad_norm": 7.96875,
"learning_rate": 1.978e-05,
"loss": 1.1466,
"mean_token_accuracy": 0.709895571321249,
"num_tokens": 16494118.0,
"step": 990
},
{
"entropy": 1.2104855172336102,
"epoch": 0.8,
"grad_norm": 10.0625,
"learning_rate": 1.9980000000000002e-05,
"loss": 1.1781,
"mean_token_accuracy": 0.7040123168379069,
"num_tokens": 16664690.0,
"step": 1000
},
{
"epoch": 0.8,
"eval_coding_entropy": 1.9454177751541137,
"eval_coding_loss": 2.2875986099243164,
"eval_coding_mean_token_accuracy": 0.49295639526844026,
"eval_coding_num_tokens": 16664690.0,
"eval_coding_runtime": 79.1544,
"eval_coding_samples_per_second": 6.317,
"eval_coding_steps_per_second": 3.158,
"step": 1000
},
{
"epoch": 0.8,
"eval_physics_entropy": 1.249910979270935,
"eval_physics_loss": 1.215478539466858,
"eval_physics_mean_token_accuracy": 0.7021359713077545,
"eval_physics_num_tokens": 16664690.0,
"eval_physics_runtime": 51.8213,
"eval_physics_samples_per_second": 9.649,
"eval_physics_steps_per_second": 4.824,
"step": 1000
},
{
"entropy": 1.2079178389161824,
"epoch": 0.808,
"grad_norm": 10.6875,
"learning_rate": 1.9980000000000002e-05,
"loss": 1.1621,
"mean_token_accuracy": 0.7027403622865677,
"num_tokens": 16829315.0,
"step": 1010
},
{
"entropy": 1.1786697298288344,
"epoch": 0.816,
"grad_norm": 8.0,
"learning_rate": 1.995777777777778e-05,
"loss": 1.1494,
"mean_token_accuracy": 0.7092785466462374,
"num_tokens": 16989307.0,
"step": 1020
},
{
"entropy": 1.1985579200088978,
"epoch": 0.824,
"grad_norm": 9.25,
"learning_rate": 1.9935555555555557e-05,
"loss": 1.1467,
"mean_token_accuracy": 0.7067175708711148,
"num_tokens": 17155547.0,
"step": 1030
},
{
"entropy": 1.164666483551264,
"epoch": 0.832,
"grad_norm": 7.71875,
"learning_rate": 1.9913333333333335e-05,
"loss": 1.1401,
"mean_token_accuracy": 0.7113697534427047,
"num_tokens": 17317524.0,
"step": 1040
},
{
"entropy": 1.1878154788166284,
"epoch": 0.84,
"grad_norm": 6.78125,
"learning_rate": 1.9891111111111112e-05,
"loss": 1.1408,
"mean_token_accuracy": 0.7077680010348558,
"num_tokens": 17479138.0,
"step": 1050
},
{
"entropy": 1.1530823826789856,
"epoch": 0.848,
"grad_norm": 6.90625,
"learning_rate": 1.986888888888889e-05,
"loss": 1.1155,
"mean_token_accuracy": 0.71307920999825,
"num_tokens": 17650424.0,
"step": 1060
},
{
"entropy": 1.1825125798583032,
"epoch": 0.856,
"grad_norm": 7.8125,
"learning_rate": 1.9846666666666668e-05,
"loss": 1.1398,
"mean_token_accuracy": 0.7109603315591813,
"num_tokens": 17814512.0,
"step": 1070
},
{
"entropy": 1.1390453603118658,
"epoch": 0.864,
"grad_norm": 6.53125,
"learning_rate": 1.9824444444444445e-05,
"loss": 1.1154,
"mean_token_accuracy": 0.7171653687953949,
"num_tokens": 17985547.0,
"step": 1080
},
{
"entropy": 1.1706372637301683,
"epoch": 0.872,
"grad_norm": 8.0625,
"learning_rate": 1.9802222222222226e-05,
"loss": 1.1272,
"mean_token_accuracy": 0.7104873843491077,
"num_tokens": 18147038.0,
"step": 1090
},
{
"entropy": 1.2016708802431821,
"epoch": 0.88,
"grad_norm": 7.9375,
"learning_rate": 1.978e-05,
"loss": 1.1414,
"mean_token_accuracy": 0.7089165017008782,
"num_tokens": 18315392.0,
"step": 1100
},
{
"epoch": 0.88,
"eval_coding_entropy": 1.9011136808395386,
"eval_coding_loss": 2.2340805530548096,
"eval_coding_mean_token_accuracy": 0.5084248929023742,
"eval_coding_num_tokens": 18315392.0,
"eval_coding_runtime": 79.1322,
"eval_coding_samples_per_second": 6.319,
"eval_coding_steps_per_second": 3.159,
"step": 1100
},
{
"epoch": 0.88,
"eval_physics_entropy": 1.1309143052101136,
"eval_physics_loss": 1.1532424688339233,
"eval_physics_mean_token_accuracy": 0.7144835109710693,
"eval_physics_num_tokens": 18315392.0,
"eval_physics_runtime": 52.1221,
"eval_physics_samples_per_second": 9.593,
"eval_physics_steps_per_second": 4.796,
"step": 1100
},
{
"entropy": 1.0508298195898533,
"epoch": 0.888,
"grad_norm": 8.25,
"learning_rate": 1.975777777777778e-05,
"loss": 1.0332,
"mean_token_accuracy": 0.7302042797207833,
"num_tokens": 18495457.0,
"step": 1110
},
{
"entropy": 1.1058499403297901,
"epoch": 0.896,
"grad_norm": 5.90625,
"learning_rate": 1.9735555555555556e-05,
"loss": 1.0849,
"mean_token_accuracy": 0.7238155752420425,
"num_tokens": 18667124.0,
"step": 1120
},
{
"entropy": 1.1259642377495767,
"epoch": 0.904,
"grad_norm": 6.875,
"learning_rate": 1.9713333333333337e-05,
"loss": 1.0818,
"mean_token_accuracy": 0.721034574508667,
"num_tokens": 18833366.0,
"step": 1130
},
{
"entropy": 1.145649480447173,
"epoch": 0.912,
"grad_norm": 7.65625,
"learning_rate": 1.969111111111111e-05,
"loss": 1.1107,
"mean_token_accuracy": 0.7126699529588223,
"num_tokens": 19002186.0,
"step": 1140
},
{
"entropy": 1.1212836857885122,
"epoch": 0.92,
"grad_norm": 6.5625,
"learning_rate": 1.9668888888888892e-05,
"loss": 1.0845,
"mean_token_accuracy": 0.7232643336057663,
"num_tokens": 19167898.0,
"step": 1150
},
{
"entropy": 1.1022184763103724,
"epoch": 0.928,
"grad_norm": 7.78125,
"learning_rate": 1.9646666666666666e-05,
"loss": 1.0742,
"mean_token_accuracy": 0.7239976346492767,
"num_tokens": 19335013.0,
"step": 1160
},
{
"entropy": 1.081941632181406,
"epoch": 0.936,
"grad_norm": 7.9375,
"learning_rate": 1.9624444444444447e-05,
"loss": 1.0521,
"mean_token_accuracy": 0.7266536355018616,
"num_tokens": 19497952.0,
"step": 1170
},
{
"entropy": 1.1005669727921485,
"epoch": 0.944,
"grad_norm": 6.09375,
"learning_rate": 1.9602222222222225e-05,
"loss": 1.0613,
"mean_token_accuracy": 0.7255159001797438,
"num_tokens": 19662733.0,
"step": 1180
},
{
"entropy": 1.0804655332118274,
"epoch": 0.952,
"grad_norm": 6.65625,
"learning_rate": 1.9580000000000002e-05,
"loss": 1.0475,
"mean_token_accuracy": 0.728959995508194,
"num_tokens": 19829333.0,
"step": 1190
},
{
"entropy": 1.069432857632637,
"epoch": 0.96,
"grad_norm": 6.78125,
"learning_rate": 1.955777777777778e-05,
"loss": 1.0476,
"mean_token_accuracy": 0.7279221322387457,
"num_tokens": 19996789.0,
"step": 1200
},
{
"epoch": 0.96,
"eval_coding_entropy": 1.8921072945594788,
"eval_coding_loss": 2.2613472938537598,
"eval_coding_mean_token_accuracy": 0.5047942440509796,
"eval_coding_num_tokens": 19996789.0,
"eval_coding_runtime": 79.1902,
"eval_coding_samples_per_second": 6.314,
"eval_coding_steps_per_second": 3.157,
"step": 1200
},
{
"epoch": 0.96,
"eval_physics_entropy": 1.099768555045128,
"eval_physics_loss": 1.101595401763916,
"eval_physics_mean_token_accuracy": 0.7247749812602997,
"eval_physics_num_tokens": 19996789.0,
"eval_physics_runtime": 52.0796,
"eval_physics_samples_per_second": 9.601,
"eval_physics_steps_per_second": 4.8,
"step": 1200
},
{
"entropy": 1.0720167379826306,
"epoch": 0.968,
"grad_norm": 7.03125,
"learning_rate": 1.9535555555555557e-05,
"loss": 1.0638,
"mean_token_accuracy": 0.7312380861490965,
"num_tokens": 20161977.0,
"step": 1210
},
{
"entropy": 1.088957086019218,
"epoch": 0.976,
"grad_norm": 7.34375,
"learning_rate": 1.9513333333333335e-05,
"loss": 1.0538,
"mean_token_accuracy": 0.7287674982100725,
"num_tokens": 20332636.0,
"step": 1220
},
{
"entropy": 1.08813561424613,
"epoch": 0.984,
"grad_norm": 6.34375,
"learning_rate": 1.9491111111111113e-05,
"loss": 1.0477,
"mean_token_accuracy": 0.729033438116312,
"num_tokens": 20495388.0,
"step": 1230
},
{
"entropy": 1.0714545506983995,
"epoch": 0.992,
"grad_norm": 6.53125,
"learning_rate": 1.946888888888889e-05,
"loss": 1.0405,
"mean_token_accuracy": 0.7327663522213698,
"num_tokens": 20662209.0,
"step": 1240
},
{
"entropy": 1.0615619242191314,
"epoch": 1.0,
"grad_norm": 6.78125,
"learning_rate": 1.9446666666666668e-05,
"loss": 1.0355,
"mean_token_accuracy": 0.7302098982036114,
"num_tokens": 20832148.0,
"step": 1250
},
{
"entropy": 0.9550450762733818,
"epoch": 1.008,
"grad_norm": 5.03125,
"learning_rate": 1.9424444444444446e-05,
"loss": 0.9201,
"mean_token_accuracy": 0.7552305307239294,
"num_tokens": 21005731.0,
"step": 1260
},
{
"entropy": 1.007374680787325,
"epoch": 1.016,
"grad_norm": 5.5625,
"learning_rate": 1.9402222222222223e-05,
"loss": 0.972,
"mean_token_accuracy": 0.7435515383258462,
"num_tokens": 21167221.0,
"step": 1270
},
{
"entropy": 0.9439798355102539,
"epoch": 1.024,
"grad_norm": 6.0625,
"learning_rate": 1.938e-05,
"loss": 0.9237,
"mean_token_accuracy": 0.7548253701999783,
"num_tokens": 21335407.0,
"step": 1280
},
{
"entropy": 0.9643905458971858,
"epoch": 1.032,
"grad_norm": 5.8125,
"learning_rate": 1.935777777777778e-05,
"loss": 0.9309,
"mean_token_accuracy": 0.752015108242631,
"num_tokens": 21501759.0,
"step": 1290
},
{
"entropy": 0.9763634527102113,
"epoch": 1.04,
"grad_norm": 6.4375,
"learning_rate": 1.9335555555555556e-05,
"loss": 0.9625,
"mean_token_accuracy": 0.7475563909858465,
"num_tokens": 21668490.0,
"step": 1300
},
{
"epoch": 1.04,
"eval_coding_entropy": 1.7818276858329773,
"eval_coding_loss": 2.242872953414917,
"eval_coding_mean_token_accuracy": 0.5101647647619247,
"eval_coding_num_tokens": 21668490.0,
"eval_coding_runtime": 79.2066,
"eval_coding_samples_per_second": 6.313,
"eval_coding_steps_per_second": 3.156,
"step": 1300
},
{
"epoch": 1.04,
"eval_physics_entropy": 1.046526582121849,
"eval_physics_loss": 1.0569711923599243,
"eval_physics_mean_token_accuracy": 0.7336113708019256,
"eval_physics_num_tokens": 21668490.0,
"eval_physics_runtime": 52.1165,
"eval_physics_samples_per_second": 9.594,
"eval_physics_steps_per_second": 4.797,
"step": 1300
},
{
"entropy": 0.9808619644492864,
"epoch": 1.048,
"grad_norm": 5.9375,
"learning_rate": 1.9313333333333334e-05,
"loss": 0.95,
"mean_token_accuracy": 0.7478477224707604,
"num_tokens": 21835179.0,
"step": 1310
},
{
"entropy": 0.939110497944057,
"epoch": 1.056,
"grad_norm": 5.53125,
"learning_rate": 1.9291111111111115e-05,
"loss": 0.9088,
"mean_token_accuracy": 0.755623085796833,
"num_tokens": 22006039.0,
"step": 1320
},
{
"entropy": 0.9877023957669735,
"epoch": 1.064,
"grad_norm": 5.25,
"learning_rate": 1.926888888888889e-05,
"loss": 0.9472,
"mean_token_accuracy": 0.7455626420676709,
"num_tokens": 22176185.0,
"step": 1330
},
{
"entropy": 0.9839252684265375,
"epoch": 1.072,
"grad_norm": 5.53125,
"learning_rate": 1.924666666666667e-05,
"loss": 0.9612,
"mean_token_accuracy": 0.7474370829761028,
"num_tokens": 22348206.0,
"step": 1340
},
{
"entropy": 0.9325820317491889,
"epoch": 1.08,
"grad_norm": 6.375,
"learning_rate": 1.9224444444444444e-05,
"loss": 0.896,
"mean_token_accuracy": 0.7573953222483396,
"num_tokens": 22513925.0,
"step": 1350
},
{
"entropy": 0.9836602587252855,
"epoch": 1.088,
"grad_norm": 6.84375,
"learning_rate": 1.9202222222222225e-05,
"loss": 0.9531,
"mean_token_accuracy": 0.7478942912071943,
"num_tokens": 22676163.0,
"step": 1360
},
{
"entropy": 0.9665768353268505,
"epoch": 1.096,
"grad_norm": 5.96875,
"learning_rate": 1.918e-05,
"loss": 0.9489,
"mean_token_accuracy": 0.7473849574103951,
"num_tokens": 22841009.0,
"step": 1370
},
{
"entropy": 0.9201742075383663,
"epoch": 1.104,
"grad_norm": 6.0,
"learning_rate": 1.915777777777778e-05,
"loss": 0.8934,
"mean_token_accuracy": 0.7597939491271972,
"num_tokens": 23009279.0,
"step": 1380
},
{
"entropy": 0.9489134527742863,
"epoch": 1.112,
"grad_norm": 5.71875,
"learning_rate": 1.9135555555555555e-05,
"loss": 0.9142,
"mean_token_accuracy": 0.7531155597418546,
"num_tokens": 23177689.0,
"step": 1390
},
{
"entropy": 0.9486297775059939,
"epoch": 1.12,
"grad_norm": 6.1875,
"learning_rate": 1.9113333333333336e-05,
"loss": 0.9228,
"mean_token_accuracy": 0.7521506313234567,
"num_tokens": 23346828.0,
"step": 1400
},
{
"epoch": 1.12,
"eval_coding_entropy": 1.7531000714302063,
"eval_coding_loss": 2.281940460205078,
"eval_coding_mean_token_accuracy": 0.5089057025909424,
"eval_coding_num_tokens": 23346828.0,
"eval_coding_runtime": 79.1787,
"eval_coding_samples_per_second": 6.315,
"eval_coding_steps_per_second": 3.157,
"step": 1400
},
{
"epoch": 1.12,
"eval_physics_entropy": 0.9558427100181579,
"eval_physics_loss": 1.0335971117019653,
"eval_physics_mean_token_accuracy": 0.7392593598365784,
"eval_physics_num_tokens": 23346828.0,
"eval_physics_runtime": 52.0901,
"eval_physics_samples_per_second": 9.599,
"eval_physics_steps_per_second": 4.799,
"step": 1400
},
{
"entropy": 0.9056999972090125,
"epoch": 1.1280000000000001,
"grad_norm": 6.5,
"learning_rate": 1.9091111111111113e-05,
"loss": 0.8848,
"mean_token_accuracy": 0.7649097748100757,
"num_tokens": 23518156.0,
"step": 1410
},
{
"entropy": 0.9454022387042642,
"epoch": 1.1360000000000001,
"grad_norm": 5.3125,
"learning_rate": 1.906888888888889e-05,
"loss": 0.9168,
"mean_token_accuracy": 0.755837232619524,
"num_tokens": 23689161.0,
"step": 1420
},
{
"entropy": 0.9329152461141348,
"epoch": 1.144,
"grad_norm": 5.59375,
"learning_rate": 1.904666666666667e-05,
"loss": 0.9142,
"mean_token_accuracy": 0.758990440890193,
"num_tokens": 23851046.0,
"step": 1430
},
{
"entropy": 0.961996317282319,
"epoch": 1.152,
"grad_norm": 4.875,
"learning_rate": 1.9024444444444446e-05,
"loss": 0.9288,
"mean_token_accuracy": 0.7505928639322519,
"num_tokens": 24016439.0,
"step": 1440
},
{
"entropy": 0.9266120318323374,
"epoch": 1.16,
"grad_norm": 6.09375,
"learning_rate": 1.9002222222222224e-05,
"loss": 0.9021,
"mean_token_accuracy": 0.7583789460361003,
"num_tokens": 24180461.0,
"step": 1450
},
{
"entropy": 0.9504798075184226,
"epoch": 1.168,
"grad_norm": 6.1875,
"learning_rate": 1.898e-05,
"loss": 0.9328,
"mean_token_accuracy": 0.7518207874149084,
"num_tokens": 24344431.0,
"step": 1460
},
{
"entropy": 0.9474708326160908,
"epoch": 1.176,
"grad_norm": 5.8125,
"learning_rate": 1.895777777777778e-05,
"loss": 0.9112,
"mean_token_accuracy": 0.7553022742271424,
"num_tokens": 24507213.0,
"step": 1470
},
{
"entropy": 0.9036590620875359,
"epoch": 1.184,
"grad_norm": 6.21875,
"learning_rate": 1.8935555555555556e-05,
"loss": 0.8795,
"mean_token_accuracy": 0.762787076830864,
"num_tokens": 24668087.0,
"step": 1480
},
{
"entropy": 0.9184596356004476,
"epoch": 1.192,
"grad_norm": 5.53125,
"learning_rate": 1.8913333333333334e-05,
"loss": 0.8956,
"mean_token_accuracy": 0.7611413709819317,
"num_tokens": 24832180.0,
"step": 1490
},
{
"entropy": 0.921324947103858,
"epoch": 1.2,
"grad_norm": 5.65625,
"learning_rate": 1.8891111111111115e-05,
"loss": 0.8789,
"mean_token_accuracy": 0.7592108882963657,
"num_tokens": 25000629.0,
"step": 1500
},
{
"epoch": 1.2,
"eval_coding_entropy": 1.7903581528663635,
"eval_coding_loss": 2.2501142024993896,
"eval_coding_mean_token_accuracy": 0.513159777879715,
"eval_coding_num_tokens": 25000629.0,
"eval_coding_runtime": 79.2232,
"eval_coding_samples_per_second": 6.311,
"eval_coding_steps_per_second": 3.156,
"step": 1500
},
{
"epoch": 1.2,
"eval_physics_entropy": 0.990718915104866,
"eval_physics_loss": 0.9999967813491821,
"eval_physics_mean_token_accuracy": 0.7454895977973938,
"eval_physics_num_tokens": 25000629.0,
"eval_physics_runtime": 51.8001,
"eval_physics_samples_per_second": 9.652,
"eval_physics_steps_per_second": 4.826,
"step": 1500
},
{
"entropy": 0.9167924275621772,
"epoch": 1.208,
"grad_norm": 5.9375,
"learning_rate": 1.886888888888889e-05,
"loss": 0.892,
"mean_token_accuracy": 0.7588412739336491,
"num_tokens": 25164342.0,
"step": 1510
},
{
"entropy": 0.9410123957321048,
"epoch": 1.216,
"grad_norm": 5.40625,
"learning_rate": 1.884666666666667e-05,
"loss": 0.9122,
"mean_token_accuracy": 0.7562039643526077,
"num_tokens": 25324324.0,
"step": 1520
},
{
"entropy": 0.9521240815520287,
"epoch": 1.224,
"grad_norm": 5.0625,
"learning_rate": 1.8824444444444445e-05,
"loss": 0.8969,
"mean_token_accuracy": 0.7552298158407211,
"num_tokens": 25490292.0,
"step": 1530
},
{
"entropy": 0.8985677545890212,
"epoch": 1.232,
"grad_norm": 5.5625,
"learning_rate": 1.8802222222222226e-05,
"loss": 0.8661,
"mean_token_accuracy": 0.76500195376575,
"num_tokens": 25658795.0,
"step": 1540
},
{
"entropy": 0.8914181362837553,
"epoch": 1.24,
"grad_norm": 5.90625,
"learning_rate": 1.878e-05,
"loss": 0.8667,
"mean_token_accuracy": 0.7672365583479405,
"num_tokens": 25823796.0,
"step": 1550
},
{
"entropy": 0.9169950911775231,
"epoch": 1.248,
"grad_norm": 7.0625,
"learning_rate": 1.875777777777778e-05,
"loss": 0.8949,
"mean_token_accuracy": 0.7595178321003914,
"num_tokens": 25993177.0,
"step": 1560
},
{
"entropy": 0.9169469196349382,
"epoch": 1.256,
"grad_norm": 5.4375,
"learning_rate": 1.873555555555556e-05,
"loss": 0.8825,
"mean_token_accuracy": 0.7615648206323385,
"num_tokens": 26162587.0,
"step": 1570
},
{
"entropy": 0.896455617621541,
"epoch": 1.264,
"grad_norm": 4.625,
"learning_rate": 1.8713333333333336e-05,
"loss": 0.8742,
"mean_token_accuracy": 0.7666802130639553,
"num_tokens": 26329726.0,
"step": 1580
},
{
"entropy": 0.9278371959924698,
"epoch": 1.272,
"grad_norm": 5.0625,
"learning_rate": 1.8691111111111114e-05,
"loss": 0.8965,
"mean_token_accuracy": 0.7571958255022764,
"num_tokens": 26500094.0,
"step": 1590
},
{
"entropy": 0.9765459138900041,
"epoch": 1.28,
"grad_norm": 6.15625,
"learning_rate": 1.866888888888889e-05,
"loss": 0.9344,
"mean_token_accuracy": 0.7511742908507586,
"num_tokens": 26664093.0,
"step": 1600
},
{
"epoch": 1.28,
"eval_coding_entropy": 1.6453372964859008,
"eval_coding_loss": 2.296245574951172,
"eval_coding_mean_token_accuracy": 0.510434584736824,
"eval_coding_num_tokens": 26664093.0,
"eval_coding_runtime": 79.1166,
"eval_coding_samples_per_second": 6.32,
"eval_coding_steps_per_second": 3.16,
"step": 1600
},
{
"epoch": 1.28,
"eval_physics_entropy": 0.9116508244276047,
"eval_physics_loss": 0.981630265712738,
"eval_physics_mean_token_accuracy": 0.7496122629642487,
"eval_physics_num_tokens": 26664093.0,
"eval_physics_runtime": 51.9369,
"eval_physics_samples_per_second": 9.627,
"eval_physics_steps_per_second": 4.814,
"step": 1600
},
{
"entropy": 0.862612402252853,
"epoch": 1.288,
"grad_norm": 4.9375,
"learning_rate": 1.864666666666667e-05,
"loss": 0.8454,
"mean_token_accuracy": 0.7705432698130608,
"num_tokens": 26834758.0,
"step": 1610
},
{
"entropy": 0.9043381884694099,
"epoch": 1.296,
"grad_norm": 5.15625,
"learning_rate": 1.8624444444444446e-05,
"loss": 0.8718,
"mean_token_accuracy": 0.7643989242613316,
"num_tokens": 26994877.0,
"step": 1620
},
{
"entropy": 0.9238925974816083,
"epoch": 1.304,
"grad_norm": 4.375,
"learning_rate": 1.8602222222222224e-05,
"loss": 0.8873,
"mean_token_accuracy": 0.7609186865389347,
"num_tokens": 27162719.0,
"step": 1630
},
{
"entropy": 0.9316502708941699,
"epoch": 1.312,
"grad_norm": 5.03125,
"learning_rate": 1.858e-05,
"loss": 0.907,
"mean_token_accuracy": 0.7582122638821602,
"num_tokens": 27328198.0,
"step": 1640
},
{
"entropy": 0.9211711158975959,
"epoch": 1.32,
"grad_norm": 5.34375,
"learning_rate": 1.855777777777778e-05,
"loss": 0.8892,
"mean_token_accuracy": 0.7606807623058558,
"num_tokens": 27492744.0,
"step": 1650
},
{
"entropy": 0.892648309096694,
"epoch": 1.328,
"grad_norm": 5.28125,
"learning_rate": 1.8535555555555557e-05,
"loss": 0.8718,
"mean_token_accuracy": 0.7630397897213698,
"num_tokens": 27658818.0,
"step": 1660
},
{
"entropy": 0.8834815826267004,
"epoch": 1.336,
"grad_norm": 5.96875,
"learning_rate": 1.8513333333333335e-05,
"loss": 0.8589,
"mean_token_accuracy": 0.7691333398222924,
"num_tokens": 27821424.0,
"step": 1670
},
{
"entropy": 0.9194148594513536,
"epoch": 1.3439999999999999,
"grad_norm": 5.25,
"learning_rate": 1.8491111111111112e-05,
"loss": 0.8972,
"mean_token_accuracy": 0.7602852337062359,
"num_tokens": 27991108.0,
"step": 1680
},
{
"entropy": 0.9116265259683132,
"epoch": 1.3519999999999999,
"grad_norm": 5.53125,
"learning_rate": 1.846888888888889e-05,
"loss": 0.8777,
"mean_token_accuracy": 0.7609406780451536,
"num_tokens": 28154773.0,
"step": 1690
},
{
"entropy": 0.8890536414459348,
"epoch": 1.3599999999999999,
"grad_norm": 4.8125,
"learning_rate": 1.8446666666666667e-05,
"loss": 0.8562,
"mean_token_accuracy": 0.7662287544459104,
"num_tokens": 28327775.0,
"step": 1700
},
{
"epoch": 1.3599999999999999,
"eval_coding_entropy": 1.716024712085724,
"eval_coding_loss": 2.259434461593628,
"eval_coding_mean_token_accuracy": 0.5130739635229111,
"eval_coding_num_tokens": 28327775.0,
"eval_coding_runtime": 78.6033,
"eval_coding_samples_per_second": 6.361,
"eval_coding_steps_per_second": 3.181,
"step": 1700
},
{
"epoch": 1.3599999999999999,
"eval_physics_entropy": 0.914379727602005,
"eval_physics_loss": 0.9594675302505493,
"eval_physics_mean_token_accuracy": 0.7536831333637237,
"eval_physics_num_tokens": 28327775.0,
"eval_physics_runtime": 51.7228,
"eval_physics_samples_per_second": 9.667,
"eval_physics_steps_per_second": 4.833,
"step": 1700
},
{
"entropy": 0.8726189162582159,
"epoch": 1.3679999999999999,
"grad_norm": 5.0,
"learning_rate": 1.842444444444445e-05,
"loss": 0.8495,
"mean_token_accuracy": 0.7711174737662077,
"num_tokens": 28498470.0,
"step": 1710
},
{
"entropy": 0.9009999068453908,
"epoch": 1.376,
"grad_norm": 5.03125,
"learning_rate": 1.8402222222222223e-05,
"loss": 0.8623,
"mean_token_accuracy": 0.7660522252321244,
"num_tokens": 28666116.0,
"step": 1720
},
{
"entropy": 0.8770303575322032,
"epoch": 1.384,
"grad_norm": 5.1875,
"learning_rate": 1.8380000000000004e-05,
"loss": 0.8659,
"mean_token_accuracy": 0.767541291192174,
"num_tokens": 28840893.0,
"step": 1730
},
{
"entropy": 0.8704624468460679,
"epoch": 1.392,
"grad_norm": 6.0,
"learning_rate": 1.8357777777777778e-05,
"loss": 0.8293,
"mean_token_accuracy": 0.7710605084896087,
"num_tokens": 29004293.0,
"step": 1740
},
{
"entropy": 0.866730142198503,
"epoch": 1.4,
"grad_norm": 5.125,
"learning_rate": 1.833555555555556e-05,
"loss": 0.8459,
"mean_token_accuracy": 0.7679262559860944,
"num_tokens": 29167707.0,
"step": 1750
},
{
"entropy": 0.8981963096186518,
"epoch": 1.408,
"grad_norm": 4.78125,
"learning_rate": 1.8313333333333333e-05,
"loss": 0.8666,
"mean_token_accuracy": 0.7673941906541586,
"num_tokens": 29330131.0,
"step": 1760
},
{
"entropy": 0.9249771688133478,
"epoch": 1.416,
"grad_norm": 4.9375,
"learning_rate": 1.8291111111111114e-05,
"loss": 0.9063,
"mean_token_accuracy": 0.7583306394517422,
"num_tokens": 29491469.0,
"step": 1770
},
{
"entropy": 0.8935416838154197,
"epoch": 1.424,
"grad_norm": 4.375,
"learning_rate": 1.8268888888888888e-05,
"loss": 0.8645,
"mean_token_accuracy": 0.7656872101128102,
"num_tokens": 29661850.0,
"step": 1780
},
{
"entropy": 0.8505860712379217,
"epoch": 1.432,
"grad_norm": 5.4375,
"learning_rate": 1.824666666666667e-05,
"loss": 0.8276,
"mean_token_accuracy": 0.7741888701915741,
"num_tokens": 29825641.0,
"step": 1790
},
{
"entropy": 0.862689713574946,
"epoch": 1.44,
"grad_norm": 5.21875,
"learning_rate": 1.8224444444444447e-05,
"loss": 0.8296,
"mean_token_accuracy": 0.7719305366277694,
"num_tokens": 29999392.0,
"step": 1800
},
{
"epoch": 1.44,
"eval_coding_entropy": 1.8027336740493773,
"eval_coding_loss": 2.246039628982544,
"eval_coding_mean_token_accuracy": 0.5113436381816864,
"eval_coding_num_tokens": 29999392.0,
"eval_coding_runtime": 79.2093,
"eval_coding_samples_per_second": 6.312,
"eval_coding_steps_per_second": 3.156,
"step": 1800
},
{
"epoch": 1.44,
"eval_physics_entropy": 0.913623704791069,
"eval_physics_loss": 0.9421977996826172,
"eval_physics_mean_token_accuracy": 0.7563698604106903,
"eval_physics_num_tokens": 29999392.0,
"eval_physics_runtime": 51.9126,
"eval_physics_samples_per_second": 9.632,
"eval_physics_steps_per_second": 4.816,
"step": 1800
},
{
"entropy": 0.876362593844533,
"epoch": 1.448,
"grad_norm": 5.71875,
"learning_rate": 1.8202222222222225e-05,
"loss": 0.8509,
"mean_token_accuracy": 0.7696236498653889,
"num_tokens": 30164371.0,
"step": 1810
},
{
"entropy": 0.847023755684495,
"epoch": 1.456,
"grad_norm": 4.625,
"learning_rate": 1.8180000000000002e-05,
"loss": 0.8231,
"mean_token_accuracy": 0.7763396494090558,
"num_tokens": 30341004.0,
"step": 1820
},
{
"entropy": 0.871413410641253,
"epoch": 1.464,
"grad_norm": 4.40625,
"learning_rate": 1.815777777777778e-05,
"loss": 0.8386,
"mean_token_accuracy": 0.7727533802390099,
"num_tokens": 30502703.0,
"step": 1830
},
{
"entropy": 0.939422488771379,
"epoch": 1.472,
"grad_norm": 5.46875,
"learning_rate": 1.8135555555555557e-05,
"loss": 0.9126,
"mean_token_accuracy": 0.7551350846886635,
"num_tokens": 30667689.0,
"step": 1840
},
{
"entropy": 0.8579436099156738,
"epoch": 1.48,
"grad_norm": 4.71875,
"learning_rate": 1.8113333333333335e-05,
"loss": 0.851,
"mean_token_accuracy": 0.772059577703476,
"num_tokens": 30836874.0,
"step": 1850
},
{
"entropy": 0.8878307269886136,
"epoch": 1.488,
"grad_norm": 5.0625,
"learning_rate": 1.8091111111111113e-05,
"loss": 0.8514,
"mean_token_accuracy": 0.7688593063503504,
"num_tokens": 30999697.0,
"step": 1860
},
{
"entropy": 0.8808000456541777,
"epoch": 1.496,
"grad_norm": 5.09375,
"learning_rate": 1.806888888888889e-05,
"loss": 0.8501,
"mean_token_accuracy": 0.770066749304533,
"num_tokens": 31166146.0,
"step": 1870
},
{
"entropy": 0.8454932847991585,
"epoch": 1.504,
"grad_norm": 4.875,
"learning_rate": 1.8046666666666668e-05,
"loss": 0.8113,
"mean_token_accuracy": 0.7748839784413576,
"num_tokens": 31332775.0,
"step": 1880
},
{
"entropy": 0.8540815737098455,
"epoch": 1.512,
"grad_norm": 4.6875,
"learning_rate": 1.8024444444444445e-05,
"loss": 0.8343,
"mean_token_accuracy": 0.7708807934075594,
"num_tokens": 31504675.0,
"step": 1890
},
{
"entropy": 0.9056571874767542,
"epoch": 1.52,
"grad_norm": 5.03125,
"learning_rate": 1.8002222222222223e-05,
"loss": 0.8672,
"mean_token_accuracy": 0.7641353111714124,
"num_tokens": 31666521.0,
"step": 1900
},
{
"epoch": 1.52,
"eval_coding_entropy": 1.6874914655685425,
"eval_coding_loss": 2.2765512466430664,
"eval_coding_mean_token_accuracy": 0.5112714154720306,
"eval_coding_num_tokens": 31666521.0,
"eval_coding_runtime": 79.0285,
"eval_coding_samples_per_second": 6.327,
"eval_coding_steps_per_second": 3.163,
"step": 1900
},
{
"epoch": 1.52,
"eval_physics_entropy": 0.8699047968387604,
"eval_physics_loss": 0.9348219037055969,
"eval_physics_mean_token_accuracy": 0.7589149172306061,
"eval_physics_num_tokens": 31666521.0,
"eval_physics_runtime": 51.8968,
"eval_physics_samples_per_second": 9.635,
"eval_physics_steps_per_second": 4.817,
"step": 1900
},
{
"entropy": 0.8628190591931343,
"epoch": 1.528,
"grad_norm": 6.5,
"learning_rate": 1.798e-05,
"loss": 0.842,
"mean_token_accuracy": 0.7697089036926628,
"num_tokens": 31831967.0,
"step": 1910
},
{
"entropy": 0.9051342781633138,
"epoch": 1.536,
"grad_norm": 4.9375,
"learning_rate": 1.7957777777777778e-05,
"loss": 0.8713,
"mean_token_accuracy": 0.7649960003793239,
"num_tokens": 31998232.0,
"step": 1920
},
{
"entropy": 0.8381768845021724,
"epoch": 1.544,
"grad_norm": 4.6875,
"learning_rate": 1.7935555555555556e-05,
"loss": 0.8225,
"mean_token_accuracy": 0.7794440522789955,
"num_tokens": 32163122.0,
"step": 1930
},
{
"entropy": 0.8429474547505379,
"epoch": 1.552,
"grad_norm": 4.59375,
"learning_rate": 1.7913333333333337e-05,
"loss": 0.8141,
"mean_token_accuracy": 0.77677460052073,
"num_tokens": 32328085.0,
"step": 1940
},
{
"entropy": 0.8625445317476987,
"epoch": 1.56,
"grad_norm": 4.65625,
"learning_rate": 1.789111111111111e-05,
"loss": 0.8221,
"mean_token_accuracy": 0.7729156997054816,
"num_tokens": 32498672.0,
"step": 1950
},
{
"entropy": 0.8660145524889231,
"epoch": 1.568,
"grad_norm": 4.59375,
"learning_rate": 1.7868888888888892e-05,
"loss": 0.8336,
"mean_token_accuracy": 0.7706921048462391,
"num_tokens": 32656603.0,
"step": 1960
},
{
"entropy": 0.8720831394195556,
"epoch": 1.576,
"grad_norm": 4.8125,
"learning_rate": 1.7846666666666666e-05,
"loss": 0.8522,
"mean_token_accuracy": 0.7667239267379046,
"num_tokens": 32815222.0,
"step": 1970
},
{
"entropy": 0.8575057543814182,
"epoch": 1.584,
"grad_norm": 4.875,
"learning_rate": 1.7824444444444447e-05,
"loss": 0.8218,
"mean_token_accuracy": 0.7737087935209275,
"num_tokens": 32983769.0,
"step": 1980
},
{
"entropy": 0.8643774883821607,
"epoch": 1.592,
"grad_norm": 4.59375,
"learning_rate": 1.780222222222222e-05,
"loss": 0.8371,
"mean_token_accuracy": 0.7728578582406044,
"num_tokens": 33144736.0,
"step": 1990
},
{
"entropy": 0.8772571442648769,
"epoch": 1.6,
"grad_norm": 3.828125,
"learning_rate": 1.7780000000000003e-05,
"loss": 0.8394,
"mean_token_accuracy": 0.7701976072043181,
"num_tokens": 33309282.0,
"step": 2000
},
{
"epoch": 1.6,
"eval_coding_entropy": 1.7155875730514527,
"eval_coding_loss": 2.268036127090454,
"eval_coding_mean_token_accuracy": 0.5065519729852677,
"eval_coding_num_tokens": 33309282.0,
"eval_coding_runtime": 79.042,
"eval_coding_samples_per_second": 6.326,
"eval_coding_steps_per_second": 3.163,
"step": 2000
},
{
"epoch": 1.6,
"eval_physics_entropy": 0.8701518812179565,
"eval_physics_loss": 0.9167826771736145,
"eval_physics_mean_token_accuracy": 0.7627079751491547,
"eval_physics_num_tokens": 33309282.0,
"eval_physics_runtime": 51.8141,
"eval_physics_samples_per_second": 9.65,
"eval_physics_steps_per_second": 4.825,
"step": 2000
},
{
"entropy": 0.8041736917570234,
"epoch": 1.608,
"grad_norm": 4.28125,
"learning_rate": 1.7757777777777777e-05,
"loss": 0.7911,
"mean_token_accuracy": 0.7850766744464636,
"num_tokens": 33485091.0,
"step": 2010
},
{
"entropy": 0.8584910430014133,
"epoch": 1.616,
"grad_norm": 4.40625,
"learning_rate": 1.7735555555555558e-05,
"loss": 0.822,
"mean_token_accuracy": 0.7741672981530427,
"num_tokens": 33647616.0,
"step": 2020
},
{
"entropy": 0.8141503371298313,
"epoch": 1.624,
"grad_norm": 4.03125,
"learning_rate": 1.7713333333333335e-05,
"loss": 0.7946,
"mean_token_accuracy": 0.7806556668132544,
"num_tokens": 33814904.0,
"step": 2030
},
{
"entropy": 0.8944115854799748,
"epoch": 1.6320000000000001,
"grad_norm": 4.40625,
"learning_rate": 1.7691111111111113e-05,
"loss": 0.8494,
"mean_token_accuracy": 0.7674026219174266,
"num_tokens": 33977586.0,
"step": 2040
},
{
"entropy": 0.8180335260927677,
"epoch": 1.6400000000000001,
"grad_norm": 4.65625,
"learning_rate": 1.766888888888889e-05,
"loss": 0.7943,
"mean_token_accuracy": 0.7807611677795648,
"num_tokens": 34143742.0,
"step": 2050
},
{
"entropy": 0.8157250108197331,
"epoch": 1.6480000000000001,
"grad_norm": 5.5,
"learning_rate": 1.7646666666666668e-05,
"loss": 0.786,
"mean_token_accuracy": 0.7834763184189797,
"num_tokens": 34312436.0,
"step": 2060
},
{
"entropy": 0.8433098591864109,
"epoch": 1.6560000000000001,
"grad_norm": 5.25,
"learning_rate": 1.7624444444444446e-05,
"loss": 0.8172,
"mean_token_accuracy": 0.777406994253397,
"num_tokens": 34478504.0,
"step": 2070
},
{
"entropy": 0.8418531702831388,
"epoch": 1.6640000000000001,
"grad_norm": 6.6875,
"learning_rate": 1.7602222222222223e-05,
"loss": 0.8182,
"mean_token_accuracy": 0.7756667707115412,
"num_tokens": 34641549.0,
"step": 2080
},
{
"entropy": 0.825640257447958,
"epoch": 1.6720000000000002,
"grad_norm": 4.71875,
"learning_rate": 1.758e-05,
"loss": 0.7972,
"mean_token_accuracy": 0.7794421594589949,
"num_tokens": 34808044.0,
"step": 2090
},
{
"entropy": 0.8450808398425579,
"epoch": 1.6800000000000002,
"grad_norm": 5.1875,
"learning_rate": 1.755777777777778e-05,
"loss": 0.8058,
"mean_token_accuracy": 0.7755126718431711,
"num_tokens": 34977031.0,
"step": 2100
},
{
"epoch": 1.6800000000000002,
"eval_coding_entropy": 1.6850582294464111,
"eval_coding_loss": 2.2593472003936768,
"eval_coding_mean_token_accuracy": 0.5131129772663117,
"eval_coding_num_tokens": 34977031.0,
"eval_coding_runtime": 79.2037,
"eval_coding_samples_per_second": 6.313,
"eval_coding_steps_per_second": 3.156,
"step": 2100
},
{
"epoch": 1.6800000000000002,
"eval_physics_entropy": 0.8579872615337372,
"eval_physics_loss": 0.9012077450752258,
"eval_physics_mean_token_accuracy": 0.7655161898136139,
"eval_physics_num_tokens": 34977031.0,
"eval_physics_runtime": 52.1742,
"eval_physics_samples_per_second": 9.583,
"eval_physics_steps_per_second": 4.792,
"step": 2100
},
{
"entropy": 0.8239427028223872,
"epoch": 1.688,
"grad_norm": 4.90625,
"learning_rate": 1.7535555555555556e-05,
"loss": 0.8111,
"mean_token_accuracy": 0.7777137096971274,
"num_tokens": 35141418.0,
"step": 2110
},
{
"entropy": 0.8669725690037012,
"epoch": 1.696,
"grad_norm": 4.53125,
"learning_rate": 1.7513333333333334e-05,
"loss": 0.8166,
"mean_token_accuracy": 0.774109473079443,
"num_tokens": 35300962.0,
"step": 2120
},
{
"entropy": 0.8681604472920299,
"epoch": 1.704,
"grad_norm": 5.125,
"learning_rate": 1.749111111111111e-05,
"loss": 0.8338,
"mean_token_accuracy": 0.7683083459734916,
"num_tokens": 35465304.0,
"step": 2130
},
{
"entropy": 0.8354681877419352,
"epoch": 1.712,
"grad_norm": 4.6875,
"learning_rate": 1.746888888888889e-05,
"loss": 0.7984,
"mean_token_accuracy": 0.7774088971316815,
"num_tokens": 35642662.0,
"step": 2140
},
{
"entropy": 0.7997790666297078,
"epoch": 1.72,
"grad_norm": 4.375,
"learning_rate": 1.7446666666666667e-05,
"loss": 0.7903,
"mean_token_accuracy": 0.783223495259881,
"num_tokens": 35810260.0,
"step": 2150
},
{
"entropy": 0.8489536764100194,
"epoch": 1.728,
"grad_norm": 4.84375,
"learning_rate": 1.7424444444444444e-05,
"loss": 0.8092,
"mean_token_accuracy": 0.7768806152045726,
"num_tokens": 35980993.0,
"step": 2160
},
{
"entropy": 0.8214310843497514,
"epoch": 1.736,
"grad_norm": 5.4375,
"learning_rate": 1.7402222222222222e-05,
"loss": 0.7963,
"mean_token_accuracy": 0.7785018008202315,
"num_tokens": 36158360.0,
"step": 2170
},
{
"entropy": 0.8393697302788496,
"epoch": 1.744,
"grad_norm": 4.8125,
"learning_rate": 1.7380000000000003e-05,
"loss": 0.8124,
"mean_token_accuracy": 0.7777101572602987,
"num_tokens": 36326797.0,
"step": 2180
},
{
"entropy": 0.8256299896165729,
"epoch": 1.752,
"grad_norm": 4.8125,
"learning_rate": 1.735777777777778e-05,
"loss": 0.8052,
"mean_token_accuracy": 0.7793278936296701,
"num_tokens": 36495982.0,
"step": 2190
},
{
"entropy": 0.8003837876021862,
"epoch": 1.76,
"grad_norm": 4.75,
"learning_rate": 1.7335555555555558e-05,
"loss": 0.7815,
"mean_token_accuracy": 0.7837960578501224,
"num_tokens": 36654797.0,
"step": 2200
},
{
"epoch": 1.76,
"eval_coding_entropy": 1.7353993301391601,
"eval_coding_loss": 2.24050235748291,
"eval_coding_mean_token_accuracy": 0.5156019266843795,
"eval_coding_num_tokens": 36654797.0,
"eval_coding_runtime": 79.2517,
"eval_coding_samples_per_second": 6.309,
"eval_coding_steps_per_second": 3.155,
"step": 2200
},
{
"epoch": 1.76,
"eval_physics_entropy": 0.8497708789110183,
"eval_physics_loss": 0.8915674090385437,
"eval_physics_mean_token_accuracy": 0.7682892513275147,
"eval_physics_num_tokens": 36654797.0,
"eval_physics_runtime": 52.1968,
"eval_physics_samples_per_second": 9.579,
"eval_physics_steps_per_second": 4.79,
"step": 2200
},
{
"entropy": 0.8612198643386364,
"epoch": 1.768,
"grad_norm": 5.84375,
"learning_rate": 1.7313333333333336e-05,
"loss": 0.8251,
"mean_token_accuracy": 0.7738977476954461,
"num_tokens": 36817463.0,
"step": 2210
},
{
"entropy": 0.8459191296249629,
"epoch": 1.776,
"grad_norm": 4.71875,
"learning_rate": 1.7291111111111113e-05,
"loss": 0.8264,
"mean_token_accuracy": 0.7742797108367085,
"num_tokens": 36989310.0,
"step": 2220
},
{
"entropy": 0.8024844925850629,
"epoch": 1.784,
"grad_norm": 4.78125,
"learning_rate": 1.726888888888889e-05,
"loss": 0.7582,
"mean_token_accuracy": 0.7858391430228948,
"num_tokens": 37157452.0,
"step": 2230
},
{
"entropy": 0.8630851672962307,
"epoch": 1.792,
"grad_norm": 5.59375,
"learning_rate": 1.724666666666667e-05,
"loss": 0.8317,
"mean_token_accuracy": 0.7712806731462478,
"num_tokens": 37318535.0,
"step": 2240
},
{
"entropy": 0.8015124432742595,
"epoch": 1.8,
"grad_norm": 3.734375,
"learning_rate": 1.7224444444444446e-05,
"loss": 0.7698,
"mean_token_accuracy": 0.7848561979830265,
"num_tokens": 37487831.0,
"step": 2250
},
{
"entropy": 0.8111644266173244,
"epoch": 1.808,
"grad_norm": 4.5625,
"learning_rate": 1.7202222222222224e-05,
"loss": 0.7993,
"mean_token_accuracy": 0.7826206222176552,
"num_tokens": 37658889.0,
"step": 2260
},
{
"entropy": 0.8139818359166384,
"epoch": 1.8159999999999998,
"grad_norm": 4.71875,
"learning_rate": 1.718e-05,
"loss": 0.7889,
"mean_token_accuracy": 0.7834100909531116,
"num_tokens": 37829943.0,
"step": 2270
},
{
"entropy": 0.8303235996514559,
"epoch": 1.8239999999999998,
"grad_norm": 4.8125,
"learning_rate": 1.715777777777778e-05,
"loss": 0.795,
"mean_token_accuracy": 0.7808313373476267,
"num_tokens": 37995198.0,
"step": 2280
},
{
"entropy": 0.8542025130242109,
"epoch": 1.8319999999999999,
"grad_norm": 5.0625,
"learning_rate": 1.7135555555555557e-05,
"loss": 0.8313,
"mean_token_accuracy": 0.7719877079129219,
"num_tokens": 38155297.0,
"step": 2290
},
{
"entropy": 0.8089347897097469,
"epoch": 1.8399999999999999,
"grad_norm": 4.0,
"learning_rate": 1.7113333333333334e-05,
"loss": 0.7779,
"mean_token_accuracy": 0.7852071691304445,
"num_tokens": 38325542.0,
"step": 2300
},
{
"epoch": 1.8399999999999999,
"eval_coding_entropy": 1.7236487927436828,
"eval_coding_loss": 2.2375903129577637,
"eval_coding_mean_token_accuracy": 0.5160671151876449,
"eval_coding_num_tokens": 38325542.0,
"eval_coding_runtime": 79.4113,
"eval_coding_samples_per_second": 6.296,
"eval_coding_steps_per_second": 3.148,
"step": 2300
},
{
"epoch": 1.8399999999999999,
"eval_physics_entropy": 0.8456154173612594,
"eval_physics_loss": 0.8841537833213806,
"eval_physics_mean_token_accuracy": 0.7688510994911194,
"eval_physics_num_tokens": 38325542.0,
"eval_physics_runtime": 52.4055,
"eval_physics_samples_per_second": 9.541,
"eval_physics_steps_per_second": 4.77,
"step": 2300
},
{
"entropy": 0.805744357407093,
"epoch": 1.8479999999999999,
"grad_norm": 3.84375,
"learning_rate": 1.7091111111111112e-05,
"loss": 0.7829,
"mean_token_accuracy": 0.784181559085846,
"num_tokens": 38497246.0,
"step": 2310
},
{
"entropy": 0.8343328120186925,
"epoch": 1.8559999999999999,
"grad_norm": 4.40625,
"learning_rate": 1.706888888888889e-05,
"loss": 0.7888,
"mean_token_accuracy": 0.7806125942617654,
"num_tokens": 38668148.0,
"step": 2320
},
{
"entropy": 0.8110112180933357,
"epoch": 1.8639999999999999,
"grad_norm": 4.5,
"learning_rate": 1.704666666666667e-05,
"loss": 0.7752,
"mean_token_accuracy": 0.7813364051282405,
"num_tokens": 38840232.0,
"step": 2330
},
{
"entropy": 0.8125607699155808,
"epoch": 1.8719999999999999,
"grad_norm": 3.984375,
"learning_rate": 1.7024444444444445e-05,
"loss": 0.7895,
"mean_token_accuracy": 0.7821429204195738,
"num_tokens": 39001652.0,
"step": 2340
},
{
"entropy": 0.8465429963544011,
"epoch": 1.88,
"grad_norm": 5.78125,
"learning_rate": 1.7002222222222226e-05,
"loss": 0.8126,
"mean_token_accuracy": 0.7767612311989069,
"num_tokens": 39169312.0,
"step": 2350
},
{
"entropy": 0.8441216722130775,
"epoch": 1.888,
"grad_norm": 5.65625,
"learning_rate": 1.698e-05,
"loss": 0.8063,
"mean_token_accuracy": 0.7776072409003973,
"num_tokens": 39333474.0,
"step": 2360
},
{
"entropy": 0.8453333882614971,
"epoch": 1.896,
"grad_norm": 3.71875,
"learning_rate": 1.695777777777778e-05,
"loss": 0.813,
"mean_token_accuracy": 0.7757103960961104,
"num_tokens": 39499971.0,
"step": 2370
},
{
"entropy": 0.8293590556830168,
"epoch": 1.904,
"grad_norm": 5.40625,
"learning_rate": 1.6935555555555555e-05,
"loss": 0.8131,
"mean_token_accuracy": 0.7780664421617984,
"num_tokens": 39663055.0,
"step": 2380
},
{
"entropy": 0.8597976418212057,
"epoch": 1.912,
"grad_norm": 4.71875,
"learning_rate": 1.6913333333333336e-05,
"loss": 0.8246,
"mean_token_accuracy": 0.7739259105175733,
"num_tokens": 39823268.0,
"step": 2390
},
{
"entropy": 0.8054354287683964,
"epoch": 1.92,
"grad_norm": 5.5,
"learning_rate": 1.689111111111111e-05,
"loss": 0.7896,
"mean_token_accuracy": 0.7838379312306643,
"num_tokens": 39989824.0,
"step": 2400
},
{
"epoch": 1.92,
"eval_coding_entropy": 1.7244014859199523,
"eval_coding_loss": 2.2286953926086426,
"eval_coding_mean_token_accuracy": 0.5165949345827102,
"eval_coding_num_tokens": 39989824.0,
"eval_coding_runtime": 79.4303,
"eval_coding_samples_per_second": 6.295,
"eval_coding_steps_per_second": 3.147,
"step": 2400
},
{
"epoch": 1.92,
"eval_physics_entropy": 0.8283440818786622,
"eval_physics_loss": 0.8724973201751709,
"eval_physics_mean_token_accuracy": 0.7722779376506805,
"eval_physics_num_tokens": 39989824.0,
"eval_physics_runtime": 52.2349,
"eval_physics_samples_per_second": 9.572,
"eval_physics_steps_per_second": 4.786,
"step": 2400
},
{
"entropy": 0.8490746941417455,
"epoch": 1.928,
"grad_norm": 4.3125,
"learning_rate": 1.686888888888889e-05,
"loss": 0.8138,
"mean_token_accuracy": 0.7763742931187153,
"num_tokens": 40159086.0,
"step": 2410
},
{
"entropy": 0.8009230157360434,
"epoch": 1.936,
"grad_norm": 4.46875,
"learning_rate": 1.684666666666667e-05,
"loss": 0.782,
"mean_token_accuracy": 0.7832826662808656,
"num_tokens": 40325070.0,
"step": 2420
},
{
"entropy": 0.8089035371318459,
"epoch": 1.944,
"grad_norm": 4.0625,
"learning_rate": 1.6824444444444447e-05,
"loss": 0.7736,
"mean_token_accuracy": 0.7844303779304027,
"num_tokens": 40489400.0,
"step": 2430
},
{
"entropy": 0.7484890200197697,
"epoch": 1.952,
"grad_norm": 4.34375,
"learning_rate": 1.6802222222222224e-05,
"loss": 0.736,
"mean_token_accuracy": 0.7953914526849986,
"num_tokens": 40659614.0,
"step": 2440
},
{
"entropy": 0.8137759083881975,
"epoch": 1.96,
"grad_norm": 4.875,
"learning_rate": 1.6780000000000002e-05,
"loss": 0.7801,
"mean_token_accuracy": 0.7849993612617254,
"num_tokens": 40824844.0,
"step": 2450
},
{
"entropy": 0.8361523715779186,
"epoch": 1.968,
"grad_norm": 5.09375,
"learning_rate": 1.675777777777778e-05,
"loss": 0.799,
"mean_token_accuracy": 0.7781310323625803,
"num_tokens": 40991508.0,
"step": 2460
},
{
"entropy": 0.8114897888153791,
"epoch": 1.976,
"grad_norm": 4.0,
"learning_rate": 1.6735555555555557e-05,
"loss": 0.7787,
"mean_token_accuracy": 0.7807551980018616,
"num_tokens": 41160674.0,
"step": 2470
},
{
"entropy": 0.8438869906589389,
"epoch": 1.984,
"grad_norm": 4.6875,
"learning_rate": 1.6713333333333335e-05,
"loss": 0.8216,
"mean_token_accuracy": 0.7774552527815104,
"num_tokens": 41328779.0,
"step": 2480
},
{
"entropy": 0.8189408538863063,
"epoch": 1.992,
"grad_norm": 5.65625,
"learning_rate": 1.6691111111111112e-05,
"loss": 0.7889,
"mean_token_accuracy": 0.782219960168004,
"num_tokens": 41495501.0,
"step": 2490
},
{
"entropy": 0.8064166329801082,
"epoch": 2.0,
"grad_norm": 4.0625,
"learning_rate": 1.666888888888889e-05,
"loss": 0.7833,
"mean_token_accuracy": 0.7833917330950498,
"num_tokens": 41664296.0,
"step": 2500
},
{
"epoch": 2.0,
"eval_coding_entropy": 1.717286424636841,
"eval_coding_loss": 2.2317516803741455,
"eval_coding_mean_token_accuracy": 0.5175079522132874,
"eval_coding_num_tokens": 41664296.0,
"eval_coding_runtime": 79.4337,
"eval_coding_samples_per_second": 6.295,
"eval_coding_steps_per_second": 3.147,
"step": 2500
},
{
"epoch": 2.0,
"eval_physics_entropy": 0.8259405951499939,
"eval_physics_loss": 0.8628295660018921,
"eval_physics_mean_token_accuracy": 0.7733515868186951,
"eval_physics_num_tokens": 41664296.0,
"eval_physics_runtime": 51.845,
"eval_physics_samples_per_second": 9.644,
"eval_physics_steps_per_second": 4.822,
"step": 2500
},
{
"entropy": 0.6267373934388161,
"epoch": 2.008,
"grad_norm": 4.84375,
"learning_rate": 1.6646666666666668e-05,
"loss": 0.6037,
"mean_token_accuracy": 0.8214042343199253,
"num_tokens": 41832842.0,
"step": 2510
},
{
"entropy": 0.613454102165997,
"epoch": 2.016,
"grad_norm": 3.984375,
"learning_rate": 1.6624444444444445e-05,
"loss": 0.5774,
"mean_token_accuracy": 0.8276482291519642,
"num_tokens": 42001193.0,
"step": 2520
},
{
"entropy": 0.6082960139028728,
"epoch": 2.024,
"grad_norm": 4.1875,
"learning_rate": 1.6602222222222223e-05,
"loss": 0.5701,
"mean_token_accuracy": 0.8264455772936344,
"num_tokens": 42168656.0,
"step": 2530
},
{
"entropy": 0.618254185281694,
"epoch": 2.032,
"grad_norm": 4.84375,
"learning_rate": 1.658e-05,
"loss": 0.5945,
"mean_token_accuracy": 0.822199922427535,
"num_tokens": 42340757.0,
"step": 2540
},
{
"entropy": 0.6162297690287233,
"epoch": 2.04,
"grad_norm": 4.375,
"learning_rate": 1.6557777777777778e-05,
"loss": 0.5882,
"mean_token_accuracy": 0.8243944302201272,
"num_tokens": 42505053.0,
"step": 2550
},
{
"entropy": 0.6441289829090238,
"epoch": 2.048,
"grad_norm": 4.40625,
"learning_rate": 1.6535555555555556e-05,
"loss": 0.6276,
"mean_token_accuracy": 0.8147114396095276,
"num_tokens": 42670324.0,
"step": 2560
},
{
"entropy": 0.6393495127558708,
"epoch": 2.056,
"grad_norm": 4.46875,
"learning_rate": 1.6513333333333333e-05,
"loss": 0.6024,
"mean_token_accuracy": 0.8184194505214691,
"num_tokens": 42840053.0,
"step": 2570
},
{
"entropy": 0.589662010036409,
"epoch": 2.064,
"grad_norm": 3.890625,
"learning_rate": 1.6491111111111114e-05,
"loss": 0.5638,
"mean_token_accuracy": 0.8299374941736459,
"num_tokens": 43010231.0,
"step": 2580
},
{
"entropy": 0.6177625317126513,
"epoch": 2.072,
"grad_norm": 4.75,
"learning_rate": 1.646888888888889e-05,
"loss": 0.5889,
"mean_token_accuracy": 0.822924955189228,
"num_tokens": 43175953.0,
"step": 2590
},
{
"entropy": 0.632154917344451,
"epoch": 2.08,
"grad_norm": 4.53125,
"learning_rate": 1.644666666666667e-05,
"loss": 0.6016,
"mean_token_accuracy": 0.8200040526688099,
"num_tokens": 43340227.0,
"step": 2600
},
{
"epoch": 2.08,
"eval_coding_entropy": 1.37443935918808,
"eval_coding_loss": 2.450657367706299,
"eval_coding_mean_token_accuracy": 0.510794317483902,
"eval_coding_num_tokens": 43340227.0,
"eval_coding_runtime": 79.4427,
"eval_coding_samples_per_second": 6.294,
"eval_coding_steps_per_second": 3.147,
"step": 2600
},
{
"epoch": 2.08,
"eval_physics_entropy": 0.6555066047906876,
"eval_physics_loss": 0.9201055765151978,
"eval_physics_mean_token_accuracy": 0.7700548541545867,
"eval_physics_num_tokens": 43340227.0,
"eval_physics_runtime": 52.1793,
"eval_physics_samples_per_second": 9.582,
"eval_physics_steps_per_second": 4.791,
"step": 2600
},
{
"entropy": 0.639796886779368,
"epoch": 2.088,
"grad_norm": 4.625,
"learning_rate": 1.6424444444444444e-05,
"loss": 0.6096,
"mean_token_accuracy": 0.8176310174167156,
"num_tokens": 43505627.0,
"step": 2610
},
{
"entropy": 0.5980126017704606,
"epoch": 2.096,
"grad_norm": 3.984375,
"learning_rate": 1.6402222222222225e-05,
"loss": 0.5813,
"mean_token_accuracy": 0.8265918381512165,
"num_tokens": 43673099.0,
"step": 2620
},
{
"entropy": 0.6023792052641511,
"epoch": 2.104,
"grad_norm": 5.0625,
"learning_rate": 1.638e-05,
"loss": 0.5792,
"mean_token_accuracy": 0.825976712629199,
"num_tokens": 43833934.0,
"step": 2630
},
{
"entropy": 0.6025502832606435,
"epoch": 2.112,
"grad_norm": 4.1875,
"learning_rate": 1.635777777777778e-05,
"loss": 0.5783,
"mean_token_accuracy": 0.8258870415389538,
"num_tokens": 44005986.0,
"step": 2640
},
{
"entropy": 0.5969322631135583,
"epoch": 2.12,
"grad_norm": 3.765625,
"learning_rate": 1.6335555555555558e-05,
"loss": 0.5691,
"mean_token_accuracy": 0.826336657628417,
"num_tokens": 44166266.0,
"step": 2650
},
{
"entropy": 0.6238168029114604,
"epoch": 2.128,
"grad_norm": 4.21875,
"learning_rate": 1.6313333333333335e-05,
"loss": 0.606,
"mean_token_accuracy": 0.8218153961002826,
"num_tokens": 44321465.0,
"step": 2660
},
{
"entropy": 0.6158078715205193,
"epoch": 2.136,
"grad_norm": 4.90625,
"learning_rate": 1.6291111111111113e-05,
"loss": 0.5882,
"mean_token_accuracy": 0.8230926766991615,
"num_tokens": 44489375.0,
"step": 2670
},
{
"entropy": 0.6018604909069836,
"epoch": 2.144,
"grad_norm": 4.28125,
"learning_rate": 1.626888888888889e-05,
"loss": 0.5823,
"mean_token_accuracy": 0.8254737179726362,
"num_tokens": 44661027.0,
"step": 2680
},
{
"entropy": 0.6252726474776864,
"epoch": 2.152,
"grad_norm": 4.15625,
"learning_rate": 1.6246666666666668e-05,
"loss": 0.6081,
"mean_token_accuracy": 0.8179498245939613,
"num_tokens": 44827429.0,
"step": 2690
},
{
"entropy": 0.6539112368598581,
"epoch": 2.16,
"grad_norm": 4.375,
"learning_rate": 1.6224444444444446e-05,
"loss": 0.6191,
"mean_token_accuracy": 0.8172940738499165,
"num_tokens": 44994236.0,
"step": 2700
},
{
"epoch": 2.16,
"eval_coding_entropy": 1.3508017370700836,
"eval_coding_loss": 2.459696054458618,
"eval_coding_mean_token_accuracy": 0.5095216584205627,
"eval_coding_num_tokens": 44994236.0,
"eval_coding_runtime": 79.7189,
"eval_coding_samples_per_second": 6.272,
"eval_coding_steps_per_second": 3.136,
"step": 2700
},
{
"epoch": 2.16,
"eval_physics_entropy": 0.6559373445510864,
"eval_physics_loss": 0.913827657699585,
"eval_physics_mean_token_accuracy": 0.7716447129249573,
"eval_physics_num_tokens": 44994236.0,
"eval_physics_runtime": 52.1899,
"eval_physics_samples_per_second": 9.58,
"eval_physics_steps_per_second": 4.79,
"step": 2700
},
{
"entropy": 0.6039218049496412,
"epoch": 2.168,
"grad_norm": 4.34375,
"learning_rate": 1.6202222222222223e-05,
"loss": 0.5657,
"mean_token_accuracy": 0.8246539358049632,
"num_tokens": 45161571.0,
"step": 2710
},
{
"entropy": 0.603247781470418,
"epoch": 2.176,
"grad_norm": 4.3125,
"learning_rate": 1.618e-05,
"loss": 0.5867,
"mean_token_accuracy": 0.8266920678317546,
"num_tokens": 45334280.0,
"step": 2720
},
{
"entropy": 0.5918160032480955,
"epoch": 2.184,
"grad_norm": 4.8125,
"learning_rate": 1.615777777777778e-05,
"loss": 0.5677,
"mean_token_accuracy": 0.8290746930986643,
"num_tokens": 45499402.0,
"step": 2730
},
{
"entropy": 0.6160703864879906,
"epoch": 2.192,
"grad_norm": 4.0625,
"learning_rate": 1.6135555555555556e-05,
"loss": 0.5889,
"mean_token_accuracy": 0.824155556038022,
"num_tokens": 45666954.0,
"step": 2740
},
{
"entropy": 0.5953169440850615,
"epoch": 2.2,
"grad_norm": 4.28125,
"learning_rate": 1.6113333333333334e-05,
"loss": 0.5826,
"mean_token_accuracy": 0.8253328789025545,
"num_tokens": 45834132.0,
"step": 2750
},
{
"entropy": 0.6015375588089228,
"epoch": 2.208,
"grad_norm": 4.59375,
"learning_rate": 1.609111111111111e-05,
"loss": 0.5723,
"mean_token_accuracy": 0.8269878134131432,
"num_tokens": 45999546.0,
"step": 2760
},
{
"entropy": 0.6001254281029105,
"epoch": 2.216,
"grad_norm": 4.46875,
"learning_rate": 1.606888888888889e-05,
"loss": 0.5876,
"mean_token_accuracy": 0.8253753263503313,
"num_tokens": 46167159.0,
"step": 2770
},
{
"entropy": 0.6099058744497597,
"epoch": 2.224,
"grad_norm": 4.53125,
"learning_rate": 1.6046666666666667e-05,
"loss": 0.5841,
"mean_token_accuracy": 0.8269340958446264,
"num_tokens": 46333809.0,
"step": 2780
},
{
"entropy": 0.5924582777544856,
"epoch": 2.232,
"grad_norm": 4.625,
"learning_rate": 1.6024444444444444e-05,
"loss": 0.5688,
"mean_token_accuracy": 0.8282918892800808,
"num_tokens": 46501691.0,
"step": 2790
},
{
"entropy": 0.6166877252981067,
"epoch": 2.24,
"grad_norm": 4.65625,
"learning_rate": 1.6002222222222222e-05,
"loss": 0.5935,
"mean_token_accuracy": 0.8221744630485773,
"num_tokens": 46673328.0,
"step": 2800
},
{
"epoch": 2.24,
"eval_coding_entropy": 1.3449536728858948,
"eval_coding_loss": 2.4668049812316895,
"eval_coding_mean_token_accuracy": 0.5107591571807861,
"eval_coding_num_tokens": 46673328.0,
"eval_coding_runtime": 79.6587,
"eval_coding_samples_per_second": 6.277,
"eval_coding_steps_per_second": 3.138,
"step": 2800
},
{
"epoch": 2.24,
"eval_physics_entropy": 0.6617927324771881,
"eval_physics_loss": 0.9057582020759583,
"eval_physics_mean_token_accuracy": 0.7725264024734497,
"eval_physics_num_tokens": 46673328.0,
"eval_physics_runtime": 52.2066,
"eval_physics_samples_per_second": 9.577,
"eval_physics_steps_per_second": 4.789,
"step": 2800
},
{
"entropy": 0.6337659023702145,
"epoch": 2.248,
"grad_norm": 4.4375,
"learning_rate": 1.5980000000000003e-05,
"loss": 0.5989,
"mean_token_accuracy": 0.8209787521511316,
"num_tokens": 46841085.0,
"step": 2810
},
{
"entropy": 0.6291999282315374,
"epoch": 2.2560000000000002,
"grad_norm": 4.375,
"learning_rate": 1.5957777777777777e-05,
"loss": 0.6039,
"mean_token_accuracy": 0.8203245922923088,
"num_tokens": 47001509.0,
"step": 2820
},
{
"entropy": 0.5945435255765915,
"epoch": 2.2640000000000002,
"grad_norm": 4.84375,
"learning_rate": 1.5935555555555558e-05,
"loss": 0.5754,
"mean_token_accuracy": 0.8288602285087109,
"num_tokens": 47171016.0,
"step": 2830
},
{
"entropy": 0.6188051411882043,
"epoch": 2.2720000000000002,
"grad_norm": 4.59375,
"learning_rate": 1.5913333333333332e-05,
"loss": 0.5876,
"mean_token_accuracy": 0.8232857622206211,
"num_tokens": 47340142.0,
"step": 2840
},
{
"entropy": 0.6111969035118818,
"epoch": 2.2800000000000002,
"grad_norm": 4.5625,
"learning_rate": 1.5891111111111113e-05,
"loss": 0.5884,
"mean_token_accuracy": 0.8232033301144839,
"num_tokens": 47507916.0,
"step": 2850
},
{
"entropy": 0.6393554072827101,
"epoch": 2.288,
"grad_norm": 4.65625,
"learning_rate": 1.5868888888888888e-05,
"loss": 0.614,
"mean_token_accuracy": 0.8167192228138447,
"num_tokens": 47677550.0,
"step": 2860
},
{
"entropy": 0.6181843418627977,
"epoch": 2.296,
"grad_norm": 3.78125,
"learning_rate": 1.584666666666667e-05,
"loss": 0.5814,
"mean_token_accuracy": 0.8251254186034203,
"num_tokens": 47841479.0,
"step": 2870
},
{
"entropy": 0.6250437296926975,
"epoch": 2.304,
"grad_norm": 4.9375,
"learning_rate": 1.5824444444444446e-05,
"loss": 0.6038,
"mean_token_accuracy": 0.8207253012806177,
"num_tokens": 47993851.0,
"step": 2880
},
{
"entropy": 0.6118797030299902,
"epoch": 2.312,
"grad_norm": 4.1875,
"learning_rate": 1.5802222222222224e-05,
"loss": 0.5885,
"mean_token_accuracy": 0.8238303918391466,
"num_tokens": 48164405.0,
"step": 2890
},
{
"entropy": 0.604522593691945,
"epoch": 2.32,
"grad_norm": 3.9375,
"learning_rate": 1.578e-05,
"loss": 0.5861,
"mean_token_accuracy": 0.8257577165961265,
"num_tokens": 48332577.0,
"step": 2900
},
{
"epoch": 2.32,
"eval_coding_entropy": 1.3523815784454345,
"eval_coding_loss": 2.4751594066619873,
"eval_coding_mean_token_accuracy": 0.5096428718566894,
"eval_coding_num_tokens": 48332577.0,
"eval_coding_runtime": 79.4259,
"eval_coding_samples_per_second": 6.295,
"eval_coding_steps_per_second": 3.148,
"step": 2900
},
{
"epoch": 2.32,
"eval_physics_entropy": 0.65406782579422,
"eval_physics_loss": 0.9018837809562683,
"eval_physics_mean_token_accuracy": 0.7731419174671174,
"eval_physics_num_tokens": 48332577.0,
"eval_physics_runtime": 52.3012,
"eval_physics_samples_per_second": 9.56,
"eval_physics_steps_per_second": 4.78,
"step": 2900
},
{
"entropy": 0.5681330621242523,
"epoch": 2.328,
"grad_norm": 3.96875,
"learning_rate": 1.575777777777778e-05,
"loss": 0.5495,
"mean_token_accuracy": 0.8327588770538569,
"num_tokens": 48502589.0,
"step": 2910
},
{
"entropy": 0.6044447740539909,
"epoch": 2.336,
"grad_norm": 4.53125,
"learning_rate": 1.5735555555555557e-05,
"loss": 0.5778,
"mean_token_accuracy": 0.826114010065794,
"num_tokens": 48676623.0,
"step": 2920
},
{
"entropy": 0.5827158512547612,
"epoch": 2.344,
"grad_norm": 4.625,
"learning_rate": 1.5713333333333334e-05,
"loss": 0.5586,
"mean_token_accuracy": 0.8299524106085301,
"num_tokens": 48842782.0,
"step": 2930
},
{
"entropy": 0.5938589986413717,
"epoch": 2.352,
"grad_norm": 4.1875,
"learning_rate": 1.5691111111111112e-05,
"loss": 0.5696,
"mean_token_accuracy": 0.8275059584528208,
"num_tokens": 49007770.0,
"step": 2940
},
{
"entropy": 0.5799241781234741,
"epoch": 2.36,
"grad_norm": 4.0625,
"learning_rate": 1.5668888888888893e-05,
"loss": 0.5673,
"mean_token_accuracy": 0.8314082741737365,
"num_tokens": 49185671.0,
"step": 2950
},
{
"entropy": 0.6408661613240838,
"epoch": 2.368,
"grad_norm": 4.5625,
"learning_rate": 1.5646666666666667e-05,
"loss": 0.6059,
"mean_token_accuracy": 0.8191751647740603,
"num_tokens": 49350016.0,
"step": 2960
},
{
"entropy": 0.6003497345373034,
"epoch": 2.376,
"grad_norm": 4.59375,
"learning_rate": 1.5624444444444448e-05,
"loss": 0.5894,
"mean_token_accuracy": 0.8256981022655964,
"num_tokens": 49512200.0,
"step": 2970
},
{
"entropy": 0.6165332013741136,
"epoch": 2.384,
"grad_norm": 4.8125,
"learning_rate": 1.5602222222222222e-05,
"loss": 0.5927,
"mean_token_accuracy": 0.823698042705655,
"num_tokens": 49679074.0,
"step": 2980
},
{
"entropy": 0.611846811696887,
"epoch": 2.392,
"grad_norm": 4.90625,
"learning_rate": 1.5580000000000003e-05,
"loss": 0.6,
"mean_token_accuracy": 0.8226090833544731,
"num_tokens": 49848577.0,
"step": 2990
},
{
"entropy": 0.6002186056226492,
"epoch": 2.4,
"grad_norm": 4.28125,
"learning_rate": 1.5557777777777778e-05,
"loss": 0.5749,
"mean_token_accuracy": 0.8277635291218758,
"num_tokens": 50020648.0,
"step": 3000
},
{
"epoch": 2.4,
"eval_coding_entropy": 1.349739289045334,
"eval_coding_loss": 2.481516122817993,
"eval_coding_mean_token_accuracy": 0.5096702026128769,
"eval_coding_num_tokens": 50020648.0,
"eval_coding_runtime": 79.305,
"eval_coding_samples_per_second": 6.305,
"eval_coding_steps_per_second": 3.152,
"step": 3000
},
{
"epoch": 2.4,
"eval_physics_entropy": 0.6552768393754959,
"eval_physics_loss": 0.8977621793746948,
"eval_physics_mean_token_accuracy": 0.7747766389846802,
"eval_physics_num_tokens": 50020648.0,
"eval_physics_runtime": 51.7134,
"eval_physics_samples_per_second": 9.669,
"eval_physics_steps_per_second": 4.834,
"step": 3000
},
{
"entropy": 0.6143279479816556,
"epoch": 2.408,
"grad_norm": 4.59375,
"learning_rate": 1.553555555555556e-05,
"loss": 0.5952,
"mean_token_accuracy": 0.8243662029504776,
"num_tokens": 50196721.0,
"step": 3010
},
{
"entropy": 0.5889019390568138,
"epoch": 2.416,
"grad_norm": 4.28125,
"learning_rate": 1.5513333333333333e-05,
"loss": 0.5781,
"mean_token_accuracy": 0.8261144172400237,
"num_tokens": 50370135.0,
"step": 3020
},
{
"entropy": 0.61474132174626,
"epoch": 2.424,
"grad_norm": 4.5625,
"learning_rate": 1.5491111111111114e-05,
"loss": 0.5791,
"mean_token_accuracy": 0.8264197196811438,
"num_tokens": 50529922.0,
"step": 3030
},
{
"entropy": 0.621494947001338,
"epoch": 2.432,
"grad_norm": 4.1875,
"learning_rate": 1.546888888888889e-05,
"loss": 0.6078,
"mean_token_accuracy": 0.8213183127343655,
"num_tokens": 50695363.0,
"step": 3040
},
{
"entropy": 0.6155845869332552,
"epoch": 2.44,
"grad_norm": 4.4375,
"learning_rate": 1.544666666666667e-05,
"loss": 0.5859,
"mean_token_accuracy": 0.8250884145498276,
"num_tokens": 50861141.0,
"step": 3050
},
{
"entropy": 0.6297358063980937,
"epoch": 2.448,
"grad_norm": 4.3125,
"learning_rate": 1.5424444444444447e-05,
"loss": 0.6097,
"mean_token_accuracy": 0.8201751086860896,
"num_tokens": 51023498.0,
"step": 3060
},
{
"entropy": 0.6233988754451275,
"epoch": 2.456,
"grad_norm": 4.125,
"learning_rate": 1.5402222222222224e-05,
"loss": 0.5963,
"mean_token_accuracy": 0.8221795730292797,
"num_tokens": 51187205.0,
"step": 3070
},
{
"entropy": 0.6175283070653677,
"epoch": 2.464,
"grad_norm": 4.59375,
"learning_rate": 1.5380000000000002e-05,
"loss": 0.5789,
"mean_token_accuracy": 0.823941082879901,
"num_tokens": 51349816.0,
"step": 3080
},
{
"entropy": 0.606114044599235,
"epoch": 2.472,
"grad_norm": 4.28125,
"learning_rate": 1.535777777777778e-05,
"loss": 0.5836,
"mean_token_accuracy": 0.8250056773424148,
"num_tokens": 51518966.0,
"step": 3090
},
{
"entropy": 0.6060268938541412,
"epoch": 2.48,
"grad_norm": 4.0625,
"learning_rate": 1.5335555555555557e-05,
"loss": 0.5785,
"mean_token_accuracy": 0.8250746950507164,
"num_tokens": 51680507.0,
"step": 3100
},
{
"epoch": 2.48,
"eval_coding_entropy": 1.35354470205307,
"eval_coding_loss": 2.473125457763672,
"eval_coding_mean_token_accuracy": 0.510221528172493,
"eval_coding_num_tokens": 51680507.0,
"eval_coding_runtime": 79.0945,
"eval_coding_samples_per_second": 6.322,
"eval_coding_steps_per_second": 3.161,
"step": 3100
},
{
"epoch": 2.48,
"eval_physics_entropy": 0.6581197297573089,
"eval_physics_loss": 0.8899555206298828,
"eval_physics_mean_token_accuracy": 0.7764303793907166,
"eval_physics_num_tokens": 51680507.0,
"eval_physics_runtime": 52.0283,
"eval_physics_samples_per_second": 9.61,
"eval_physics_steps_per_second": 4.805,
"step": 3100
},
{
"entropy": 0.620896311942488,
"epoch": 2.488,
"grad_norm": 4.53125,
"learning_rate": 1.5313333333333335e-05,
"loss": 0.6086,
"mean_token_accuracy": 0.8216223731637001,
"num_tokens": 51850021.0,
"step": 3110
},
{
"entropy": 0.6087856724858284,
"epoch": 2.496,
"grad_norm": 4.25,
"learning_rate": 1.5291111111111112e-05,
"loss": 0.5757,
"mean_token_accuracy": 0.8269111402332783,
"num_tokens": 52017752.0,
"step": 3120
},
{
"entropy": 0.5899860902689398,
"epoch": 2.504,
"grad_norm": 4.21875,
"learning_rate": 1.526888888888889e-05,
"loss": 0.5661,
"mean_token_accuracy": 0.8284287117421627,
"num_tokens": 52182225.0,
"step": 3130
},
{
"entropy": 0.6004647793248296,
"epoch": 2.512,
"grad_norm": 4.9375,
"learning_rate": 1.5246666666666668e-05,
"loss": 0.5699,
"mean_token_accuracy": 0.8293101724237204,
"num_tokens": 52345439.0,
"step": 3140
},
{
"entropy": 0.6012964773923158,
"epoch": 2.52,
"grad_norm": 4.4375,
"learning_rate": 1.5224444444444447e-05,
"loss": 0.5882,
"mean_token_accuracy": 0.8248716313391924,
"num_tokens": 52512638.0,
"step": 3150
},
{
"entropy": 0.5881863052025438,
"epoch": 2.528,
"grad_norm": 3.953125,
"learning_rate": 1.5202222222222223e-05,
"loss": 0.5618,
"mean_token_accuracy": 0.8315121363848448,
"num_tokens": 52683886.0,
"step": 3160
},
{
"entropy": 0.5888467213138938,
"epoch": 2.536,
"grad_norm": 4.9375,
"learning_rate": 1.5180000000000002e-05,
"loss": 0.565,
"mean_token_accuracy": 0.829793405905366,
"num_tokens": 52843943.0,
"step": 3170
},
{
"entropy": 0.6155722702853381,
"epoch": 2.544,
"grad_norm": 4.46875,
"learning_rate": 1.5157777777777778e-05,
"loss": 0.5873,
"mean_token_accuracy": 0.8239083737134933,
"num_tokens": 53004529.0,
"step": 3180
},
{
"entropy": 0.6100942814722657,
"epoch": 2.552,
"grad_norm": 4.4375,
"learning_rate": 1.5135555555555557e-05,
"loss": 0.5926,
"mean_token_accuracy": 0.8236753419041634,
"num_tokens": 53168822.0,
"step": 3190
},
{
"entropy": 0.5878218809142709,
"epoch": 2.56,
"grad_norm": 4.71875,
"learning_rate": 1.5113333333333335e-05,
"loss": 0.5591,
"mean_token_accuracy": 0.830387581884861,
"num_tokens": 53336280.0,
"step": 3200
},
{
"epoch": 2.56,
"eval_coding_entropy": 1.3497926185131073,
"eval_coding_loss": 2.468592882156372,
"eval_coding_mean_token_accuracy": 0.5101335799694061,
"eval_coding_num_tokens": 53336280.0,
"eval_coding_runtime": 79.5126,
"eval_coding_samples_per_second": 6.288,
"eval_coding_steps_per_second": 3.144,
"step": 3200
},
{
"epoch": 2.56,
"eval_physics_entropy": 0.6507383289337159,
"eval_physics_loss": 0.8879098892211914,
"eval_physics_mean_token_accuracy": 0.7767288887500763,
"eval_physics_num_tokens": 53336280.0,
"eval_physics_runtime": 52.214,
"eval_physics_samples_per_second": 9.576,
"eval_physics_steps_per_second": 4.788,
"step": 3200
},
{
"entropy": 0.583949718810618,
"epoch": 2.568,
"grad_norm": 4.375,
"learning_rate": 1.5091111111111113e-05,
"loss": 0.5666,
"mean_token_accuracy": 0.8300550568848848,
"num_tokens": 53500372.0,
"step": 3210
},
{
"entropy": 0.6028478074818849,
"epoch": 2.576,
"grad_norm": 4.46875,
"learning_rate": 1.506888888888889e-05,
"loss": 0.5727,
"mean_token_accuracy": 0.827161419019103,
"num_tokens": 53667647.0,
"step": 3220
},
{
"entropy": 0.6196060003712773,
"epoch": 2.584,
"grad_norm": 4.6875,
"learning_rate": 1.5046666666666668e-05,
"loss": 0.5955,
"mean_token_accuracy": 0.8225338887423277,
"num_tokens": 53829770.0,
"step": 3230
},
{
"entropy": 0.5970783233642578,
"epoch": 2.592,
"grad_norm": 4.09375,
"learning_rate": 1.5024444444444445e-05,
"loss": 0.5666,
"mean_token_accuracy": 0.8276160791516304,
"num_tokens": 53997614.0,
"step": 3240
},
{
"entropy": 0.6138347880914807,
"epoch": 2.6,
"grad_norm": 4.59375,
"learning_rate": 1.5002222222222223e-05,
"loss": 0.5778,
"mean_token_accuracy": 0.8222551662474871,
"num_tokens": 54162416.0,
"step": 3250
},
{
"entropy": 0.5776338375173509,
"epoch": 2.608,
"grad_norm": 4.125,
"learning_rate": 1.498e-05,
"loss": 0.5567,
"mean_token_accuracy": 0.8313048735260964,
"num_tokens": 54330195.0,
"step": 3260
},
{
"entropy": 0.5890184611082077,
"epoch": 2.616,
"grad_norm": 4.5625,
"learning_rate": 1.495777777777778e-05,
"loss": 0.5625,
"mean_token_accuracy": 0.829730398952961,
"num_tokens": 54496496.0,
"step": 3270
},
{
"entropy": 0.6196051860228181,
"epoch": 2.624,
"grad_norm": 4.1875,
"learning_rate": 1.4935555555555556e-05,
"loss": 0.584,
"mean_token_accuracy": 0.8229093950241804,
"num_tokens": 54664342.0,
"step": 3280
},
{
"entropy": 0.6057103559374809,
"epoch": 2.632,
"grad_norm": 4.46875,
"learning_rate": 1.4913333333333335e-05,
"loss": 0.5759,
"mean_token_accuracy": 0.8247067466378212,
"num_tokens": 54825560.0,
"step": 3290
},
{
"entropy": 0.6122049475088716,
"epoch": 2.64,
"grad_norm": 4.71875,
"learning_rate": 1.4891111111111111e-05,
"loss": 0.5833,
"mean_token_accuracy": 0.8250450536608696,
"num_tokens": 54993626.0,
"step": 3300
},
{
"epoch": 2.64,
"eval_coding_entropy": 1.3738399562835693,
"eval_coding_loss": 2.4581685066223145,
"eval_coding_mean_token_accuracy": 0.5096644060611725,
"eval_coding_num_tokens": 54993626.0,
"eval_coding_runtime": 79.3766,
"eval_coding_samples_per_second": 6.299,
"eval_coding_steps_per_second": 3.15,
"step": 3300
},
{
"epoch": 2.64,
"eval_physics_entropy": 0.660741778254509,
"eval_physics_loss": 0.8812330365180969,
"eval_physics_mean_token_accuracy": 0.7774314482212067,
"eval_physics_num_tokens": 54993626.0,
"eval_physics_runtime": 52.1478,
"eval_physics_samples_per_second": 9.588,
"eval_physics_steps_per_second": 4.794,
"step": 3300
},
{
"entropy": 0.6118903381749987,
"epoch": 2.648,
"grad_norm": 4.90625,
"learning_rate": 1.486888888888889e-05,
"loss": 0.5827,
"mean_token_accuracy": 0.8242136374115944,
"num_tokens": 55168382.0,
"step": 3310
},
{
"entropy": 0.6567736398428679,
"epoch": 2.656,
"grad_norm": 4.6875,
"learning_rate": 1.4846666666666666e-05,
"loss": 0.63,
"mean_token_accuracy": 0.8162180844694376,
"num_tokens": 55339962.0,
"step": 3320
},
{
"entropy": 0.6124452227726579,
"epoch": 2.664,
"grad_norm": 4.78125,
"learning_rate": 1.4824444444444446e-05,
"loss": 0.597,
"mean_token_accuracy": 0.8222682312130928,
"num_tokens": 55504628.0,
"step": 3330
},
{
"entropy": 0.6048196353949606,
"epoch": 2.672,
"grad_norm": 4.40625,
"learning_rate": 1.4802222222222225e-05,
"loss": 0.5789,
"mean_token_accuracy": 0.8265079196542502,
"num_tokens": 55670567.0,
"step": 3340
},
{
"entropy": 0.5801108043640852,
"epoch": 2.68,
"grad_norm": 4.6875,
"learning_rate": 1.478e-05,
"loss": 0.5571,
"mean_token_accuracy": 0.8314849089831113,
"num_tokens": 55837991.0,
"step": 3350
},
{
"entropy": 0.6023631945252419,
"epoch": 2.6879999999999997,
"grad_norm": 4.84375,
"learning_rate": 1.475777777777778e-05,
"loss": 0.5846,
"mean_token_accuracy": 0.8274341113865376,
"num_tokens": 56003156.0,
"step": 3360
},
{
"entropy": 0.6052138676866889,
"epoch": 2.6959999999999997,
"grad_norm": 4.34375,
"learning_rate": 1.4735555555555556e-05,
"loss": 0.5783,
"mean_token_accuracy": 0.8274508312344551,
"num_tokens": 56177679.0,
"step": 3370
},
{
"entropy": 0.6188904494047165,
"epoch": 2.7039999999999997,
"grad_norm": 4.46875,
"learning_rate": 1.4713333333333335e-05,
"loss": 0.5907,
"mean_token_accuracy": 0.8227757509797812,
"num_tokens": 56342926.0,
"step": 3380
},
{
"entropy": 0.603462403267622,
"epoch": 2.7119999999999997,
"grad_norm": 4.5,
"learning_rate": 1.4691111111111111e-05,
"loss": 0.585,
"mean_token_accuracy": 0.8255855433642865,
"num_tokens": 56510821.0,
"step": 3390
},
{
"entropy": 0.5923863802105188,
"epoch": 2.7199999999999998,
"grad_norm": 5.0625,
"learning_rate": 1.466888888888889e-05,
"loss": 0.57,
"mean_token_accuracy": 0.8282286584377289,
"num_tokens": 56677521.0,
"step": 3400
},
{
"epoch": 2.7199999999999998,
"eval_coding_entropy": 1.3335860939025879,
"eval_coding_loss": 2.4741172790527344,
"eval_coding_mean_token_accuracy": 0.510094462275505,
"eval_coding_num_tokens": 56677521.0,
"eval_coding_runtime": 79.2133,
"eval_coding_samples_per_second": 6.312,
"eval_coding_steps_per_second": 3.156,
"step": 3400
},
{
"epoch": 2.7199999999999998,
"eval_physics_entropy": 0.6450637406110764,
"eval_physics_loss": 0.8810954689979553,
"eval_physics_mean_token_accuracy": 0.7775574955940247,
"eval_physics_num_tokens": 56677521.0,
"eval_physics_runtime": 52.1872,
"eval_physics_samples_per_second": 9.581,
"eval_physics_steps_per_second": 4.79,
"step": 3400
},
{
"entropy": 0.611242413148284,
"epoch": 2.7279999999999998,
"grad_norm": 4.15625,
"learning_rate": 1.4646666666666666e-05,
"loss": 0.5847,
"mean_token_accuracy": 0.8257013656198978,
"num_tokens": 56838328.0,
"step": 3410
},
{
"entropy": 0.619679344072938,
"epoch": 2.7359999999999998,
"grad_norm": 4.78125,
"learning_rate": 1.4624444444444446e-05,
"loss": 0.5947,
"mean_token_accuracy": 0.8227478194981813,
"num_tokens": 57003161.0,
"step": 3420
},
{
"entropy": 0.6120741838589311,
"epoch": 2.7439999999999998,
"grad_norm": 4.875,
"learning_rate": 1.4602222222222225e-05,
"loss": 0.5832,
"mean_token_accuracy": 0.8231907237321139,
"num_tokens": 57163139.0,
"step": 3430
},
{
"entropy": 0.6255141733214259,
"epoch": 2.752,
"grad_norm": 4.6875,
"learning_rate": 1.4580000000000001e-05,
"loss": 0.6017,
"mean_token_accuracy": 0.821520210057497,
"num_tokens": 57335850.0,
"step": 3440
},
{
"entropy": 0.5965338239446283,
"epoch": 2.76,
"grad_norm": 4.1875,
"learning_rate": 1.455777777777778e-05,
"loss": 0.5663,
"mean_token_accuracy": 0.8295173797756433,
"num_tokens": 57505353.0,
"step": 3450
},
{
"entropy": 0.590160558000207,
"epoch": 2.768,
"grad_norm": 4.375,
"learning_rate": 1.4535555555555556e-05,
"loss": 0.5709,
"mean_token_accuracy": 0.8295429788529873,
"num_tokens": 57672649.0,
"step": 3460
},
{
"entropy": 0.6105528209358454,
"epoch": 2.776,
"grad_norm": 3.84375,
"learning_rate": 1.4513333333333336e-05,
"loss": 0.5868,
"mean_token_accuracy": 0.8259994424879551,
"num_tokens": 57837671.0,
"step": 3470
},
{
"entropy": 0.5995156250894069,
"epoch": 2.784,
"grad_norm": 4.375,
"learning_rate": 1.4491111111111111e-05,
"loss": 0.5781,
"mean_token_accuracy": 0.8267749030143022,
"num_tokens": 58007431.0,
"step": 3480
},
{
"entropy": 0.6301500285044312,
"epoch": 2.792,
"grad_norm": 4.25,
"learning_rate": 1.446888888888889e-05,
"loss": 0.6029,
"mean_token_accuracy": 0.8213560383766889,
"num_tokens": 58166452.0,
"step": 3490
},
{
"entropy": 0.6354689218103886,
"epoch": 2.8,
"grad_norm": 4.21875,
"learning_rate": 1.4446666666666668e-05,
"loss": 0.6117,
"mean_token_accuracy": 0.8186302322894334,
"num_tokens": 58332730.0,
"step": 3500
},
{
"epoch": 2.8,
"eval_coding_entropy": 1.3431692762374878,
"eval_coding_loss": 2.4674572944641113,
"eval_coding_mean_token_accuracy": 0.5104503653049469,
"eval_coding_num_tokens": 58332730.0,
"eval_coding_runtime": 79.3012,
"eval_coding_samples_per_second": 6.305,
"eval_coding_steps_per_second": 3.153,
"step": 3500
},
{
"epoch": 2.8,
"eval_physics_entropy": 0.6469574912786483,
"eval_physics_loss": 0.8759974837303162,
"eval_physics_mean_token_accuracy": 0.7790948405265808,
"eval_physics_num_tokens": 58332730.0,
"eval_physics_runtime": 51.8278,
"eval_physics_samples_per_second": 9.647,
"eval_physics_steps_per_second": 4.824,
"step": 3500
},
{
"entropy": 0.581175766699016,
"epoch": 2.808,
"grad_norm": 4.59375,
"learning_rate": 1.4424444444444446e-05,
"loss": 0.5625,
"mean_token_accuracy": 0.8309446167200804,
"num_tokens": 58498673.0,
"step": 3510
},
{
"entropy": 0.5683499926701188,
"epoch": 2.816,
"grad_norm": 4.0625,
"learning_rate": 1.4402222222222224e-05,
"loss": 0.5488,
"mean_token_accuracy": 0.8349772330373526,
"num_tokens": 58672106.0,
"step": 3520
},
{
"entropy": 0.625259586237371,
"epoch": 2.824,
"grad_norm": 5.1875,
"learning_rate": 1.4380000000000001e-05,
"loss": 0.5958,
"mean_token_accuracy": 0.8214506339281797,
"num_tokens": 58829550.0,
"step": 3530
},
{
"entropy": 0.5870909972116352,
"epoch": 2.832,
"grad_norm": 4.875,
"learning_rate": 1.4357777777777779e-05,
"loss": 0.5634,
"mean_token_accuracy": 0.8310813024640084,
"num_tokens": 58997592.0,
"step": 3540
},
{
"entropy": 0.5966650864109397,
"epoch": 2.84,
"grad_norm": 4.375,
"learning_rate": 1.4335555555555556e-05,
"loss": 0.5702,
"mean_token_accuracy": 0.8293530613183975,
"num_tokens": 59165798.0,
"step": 3550
},
{
"entropy": 0.593536170385778,
"epoch": 2.848,
"grad_norm": 4.09375,
"learning_rate": 1.4313333333333334e-05,
"loss": 0.5852,
"mean_token_accuracy": 0.8260917115956545,
"num_tokens": 59326336.0,
"step": 3560
},
{
"entropy": 0.5985551407560706,
"epoch": 2.856,
"grad_norm": 4.15625,
"learning_rate": 1.4291111111111113e-05,
"loss": 0.5806,
"mean_token_accuracy": 0.8293380744755268,
"num_tokens": 59497403.0,
"step": 3570
},
{
"entropy": 0.5909693138673902,
"epoch": 2.864,
"grad_norm": 4.375,
"learning_rate": 1.426888888888889e-05,
"loss": 0.5613,
"mean_token_accuracy": 0.8294834043830633,
"num_tokens": 59668586.0,
"step": 3580
},
{
"entropy": 0.5909178427420556,
"epoch": 2.872,
"grad_norm": 4.40625,
"learning_rate": 1.4246666666666669e-05,
"loss": 0.5649,
"mean_token_accuracy": 0.8311422824859619,
"num_tokens": 59833072.0,
"step": 3590
},
{
"entropy": 0.6086006159894168,
"epoch": 2.88,
"grad_norm": 5.0,
"learning_rate": 1.4224444444444445e-05,
"loss": 0.584,
"mean_token_accuracy": 0.8246811926364899,
"num_tokens": 59993572.0,
"step": 3600
},
{
"epoch": 2.88,
"eval_coding_entropy": 1.3511269943714141,
"eval_coding_loss": 2.4732460975646973,
"eval_coding_mean_token_accuracy": 0.5091971122026443,
"eval_coding_num_tokens": 59993572.0,
"eval_coding_runtime": 79.3468,
"eval_coding_samples_per_second": 6.301,
"eval_coding_steps_per_second": 3.151,
"step": 3600
},
{
"epoch": 2.88,
"eval_physics_entropy": 0.662506309390068,
"eval_physics_loss": 0.8710473775863647,
"eval_physics_mean_token_accuracy": 0.7800338654518127,
"eval_physics_num_tokens": 59993572.0,
"eval_physics_runtime": 52.1568,
"eval_physics_samples_per_second": 9.586,
"eval_physics_steps_per_second": 4.793,
"step": 3600
},
{
"entropy": 0.5712122654542326,
"epoch": 2.888,
"grad_norm": 4.5,
"learning_rate": 1.4202222222222224e-05,
"loss": 0.5519,
"mean_token_accuracy": 0.8347968529909849,
"num_tokens": 60161738.0,
"step": 3610
},
{
"entropy": 0.606316895596683,
"epoch": 2.896,
"grad_norm": 4.125,
"learning_rate": 1.418e-05,
"loss": 0.5809,
"mean_token_accuracy": 0.8250825423747301,
"num_tokens": 60324128.0,
"step": 3620
},
{
"entropy": 0.5778268726542592,
"epoch": 2.904,
"grad_norm": 4.5,
"learning_rate": 1.4157777777777779e-05,
"loss": 0.5582,
"mean_token_accuracy": 0.8324020821601152,
"num_tokens": 60486604.0,
"step": 3630
},
{
"entropy": 0.5976108478382229,
"epoch": 2.912,
"grad_norm": 4.5,
"learning_rate": 1.4135555555555555e-05,
"loss": 0.5764,
"mean_token_accuracy": 0.8290127456188202,
"num_tokens": 60657399.0,
"step": 3640
},
{
"entropy": 0.5928749725222587,
"epoch": 2.92,
"grad_norm": 4.78125,
"learning_rate": 1.4113333333333334e-05,
"loss": 0.5669,
"mean_token_accuracy": 0.8293946173042059,
"num_tokens": 60816620.0,
"step": 3650
},
{
"entropy": 0.5822400348260999,
"epoch": 2.928,
"grad_norm": 4.4375,
"learning_rate": 1.4091111111111114e-05,
"loss": 0.5543,
"mean_token_accuracy": 0.8312558867037296,
"num_tokens": 60984711.0,
"step": 3660
},
{
"entropy": 0.599770469404757,
"epoch": 2.936,
"grad_norm": 4.53125,
"learning_rate": 1.406888888888889e-05,
"loss": 0.5594,
"mean_token_accuracy": 0.8292138613760471,
"num_tokens": 61150576.0,
"step": 3670
},
{
"entropy": 0.5714768514968455,
"epoch": 2.944,
"grad_norm": 4.90625,
"learning_rate": 1.4046666666666669e-05,
"loss": 0.5638,
"mean_token_accuracy": 0.832502580806613,
"num_tokens": 61321359.0,
"step": 3680
},
{
"entropy": 0.6112455248832702,
"epoch": 2.952,
"grad_norm": 3.671875,
"learning_rate": 1.4024444444444445e-05,
"loss": 0.5904,
"mean_token_accuracy": 0.8250285256654024,
"num_tokens": 61490234.0,
"step": 3690
},
{
"entropy": 0.5833005086518824,
"epoch": 2.96,
"grad_norm": 4.8125,
"learning_rate": 1.4002222222222224e-05,
"loss": 0.5583,
"mean_token_accuracy": 0.8299073360860347,
"num_tokens": 61659042.0,
"step": 3700
},
{
"epoch": 2.96,
"eval_coding_entropy": 1.346010504245758,
"eval_coding_loss": 2.472853422164917,
"eval_coding_mean_token_accuracy": 0.5105656070709228,
"eval_coding_num_tokens": 61659042.0,
"eval_coding_runtime": 79.3058,
"eval_coding_samples_per_second": 6.305,
"eval_coding_steps_per_second": 3.152,
"step": 3700
},
{
"epoch": 2.96,
"eval_physics_entropy": 0.6391666326522827,
"eval_physics_loss": 0.8725790977478027,
"eval_physics_mean_token_accuracy": 0.779846668958664,
"eval_physics_num_tokens": 61659042.0,
"eval_physics_runtime": 52.1233,
"eval_physics_samples_per_second": 9.593,
"eval_physics_steps_per_second": 4.796,
"step": 3700
},
{
"entropy": 0.6079537514597178,
"epoch": 2.968,
"grad_norm": 4.65625,
"learning_rate": 1.398e-05,
"loss": 0.5779,
"mean_token_accuracy": 0.8248198796063662,
"num_tokens": 61823323.0,
"step": 3710
},
{
"entropy": 0.600875335931778,
"epoch": 2.976,
"grad_norm": 4.90625,
"learning_rate": 1.395777777777778e-05,
"loss": 0.5674,
"mean_token_accuracy": 0.8291897263377905,
"num_tokens": 61993595.0,
"step": 3720
},
{
"entropy": 0.577336086705327,
"epoch": 2.984,
"grad_norm": 4.75,
"learning_rate": 1.3935555555555557e-05,
"loss": 0.5596,
"mean_token_accuracy": 0.8334302712231875,
"num_tokens": 62163881.0,
"step": 3730
},
{
"entropy": 0.5730939632281661,
"epoch": 2.992,
"grad_norm": 4.28125,
"learning_rate": 1.3913333333333335e-05,
"loss": 0.5481,
"mean_token_accuracy": 0.8316211476922035,
"num_tokens": 62334012.0,
"step": 3740
},
{
"entropy": 0.5661907571367919,
"epoch": 3.0,
"grad_norm": 5.125,
"learning_rate": 1.3891111111111114e-05,
"loss": 0.5451,
"mean_token_accuracy": 0.8358493153005838,
"num_tokens": 62496444.0,
"step": 3750
},
{
"entropy": 0.42234776820987463,
"epoch": 3.008,
"grad_norm": 5.46875,
"learning_rate": 1.386888888888889e-05,
"loss": 0.3698,
"mean_token_accuracy": 0.8843890953809023,
"num_tokens": 62660928.0,
"step": 3760
},
{
"entropy": 0.382783761434257,
"epoch": 3.016,
"grad_norm": 4.90625,
"learning_rate": 1.3846666666666669e-05,
"loss": 0.3522,
"mean_token_accuracy": 0.8870693776756525,
"num_tokens": 62822736.0,
"step": 3770
},
{
"entropy": 0.38227535421028735,
"epoch": 3.024,
"grad_norm": 4.34375,
"learning_rate": 1.3824444444444445e-05,
"loss": 0.3412,
"mean_token_accuracy": 0.8905686508864165,
"num_tokens": 62992670.0,
"step": 3780
},
{
"entropy": 0.3676112797111273,
"epoch": 3.032,
"grad_norm": 4.625,
"learning_rate": 1.3802222222222224e-05,
"loss": 0.3445,
"mean_token_accuracy": 0.8898772832006216,
"num_tokens": 63166479.0,
"step": 3790
},
{
"entropy": 0.37529820706695316,
"epoch": 3.04,
"grad_norm": 5.25,
"learning_rate": 1.378e-05,
"loss": 0.3428,
"mean_token_accuracy": 0.8897315964102746,
"num_tokens": 63335157.0,
"step": 3800
},
{
"epoch": 3.04,
"eval_coding_entropy": 1.0409069275856018,
"eval_coding_loss": 2.957873582839966,
"eval_coding_mean_token_accuracy": 0.4940963124036789,
"eval_coding_num_tokens": 63335157.0,
"eval_coding_runtime": 79.3324,
"eval_coding_samples_per_second": 6.303,
"eval_coding_steps_per_second": 3.151,
"step": 3800
},
{
"epoch": 3.04,
"eval_physics_entropy": 0.46495462536811827,
"eval_physics_loss": 1.0424754619598389,
"eval_physics_mean_token_accuracy": 0.7717642667293548,
"eval_physics_num_tokens": 63335157.0,
"eval_physics_runtime": 52.1506,
"eval_physics_samples_per_second": 9.588,
"eval_physics_steps_per_second": 4.794,
"step": 3800
},
{
"entropy": 0.38329875115305184,
"epoch": 3.048,
"grad_norm": 4.71875,
"learning_rate": 1.375777777777778e-05,
"loss": 0.3463,
"mean_token_accuracy": 0.8881552763283252,
"num_tokens": 63495448.0,
"step": 3810
},
{
"entropy": 0.3797042270191014,
"epoch": 3.056,
"grad_norm": 5.25,
"learning_rate": 1.3735555555555557e-05,
"loss": 0.3494,
"mean_token_accuracy": 0.8880059469491244,
"num_tokens": 63662314.0,
"step": 3820
},
{
"entropy": 0.36236086413264273,
"epoch": 3.064,
"grad_norm": 4.65625,
"learning_rate": 1.3713333333333335e-05,
"loss": 0.3344,
"mean_token_accuracy": 0.8910818416625261,
"num_tokens": 63827771.0,
"step": 3830
},
{
"entropy": 0.39001957830041645,
"epoch": 3.072,
"grad_norm": 5.3125,
"learning_rate": 1.3691111111111112e-05,
"loss": 0.3613,
"mean_token_accuracy": 0.8849859081208706,
"num_tokens": 63997780.0,
"step": 3840
},
{
"entropy": 0.3801506935618818,
"epoch": 3.08,
"grad_norm": 5.34375,
"learning_rate": 1.366888888888889e-05,
"loss": 0.3514,
"mean_token_accuracy": 0.8855122305452824,
"num_tokens": 64160135.0,
"step": 3850
},
{
"entropy": 0.37905457550659777,
"epoch": 3.088,
"grad_norm": 4.96875,
"learning_rate": 1.3646666666666668e-05,
"loss": 0.3466,
"mean_token_accuracy": 0.8873339295387268,
"num_tokens": 64325274.0,
"step": 3860
},
{
"entropy": 0.3634565350599587,
"epoch": 3.096,
"grad_norm": 4.40625,
"learning_rate": 1.3624444444444445e-05,
"loss": 0.3372,
"mean_token_accuracy": 0.8906644720584154,
"num_tokens": 64498675.0,
"step": 3870
},
{
"entropy": 0.37181077813729646,
"epoch": 3.104,
"grad_norm": 4.9375,
"learning_rate": 1.3602222222222223e-05,
"loss": 0.3422,
"mean_token_accuracy": 0.8906843084841967,
"num_tokens": 64659683.0,
"step": 3880
},
{
"entropy": 0.3587542022578418,
"epoch": 3.112,
"grad_norm": 4.625,
"learning_rate": 1.3580000000000002e-05,
"loss": 0.3373,
"mean_token_accuracy": 0.8922356773167849,
"num_tokens": 64826996.0,
"step": 3890
},
{
"entropy": 0.3602323802188039,
"epoch": 3.12,
"grad_norm": 5.125,
"learning_rate": 1.3557777777777778e-05,
"loss": 0.3346,
"mean_token_accuracy": 0.8933298390358686,
"num_tokens": 64998212.0,
"step": 3900
},
{
"epoch": 3.12,
"eval_coding_entropy": 1.0204580907821654,
"eval_coding_loss": 2.995056629180908,
"eval_coding_mean_token_accuracy": 0.49392418837547303,
"eval_coding_num_tokens": 64998212.0,
"eval_coding_runtime": 79.6061,
"eval_coding_samples_per_second": 6.281,
"eval_coding_steps_per_second": 3.14,
"step": 3900
},
{
"epoch": 3.12,
"eval_physics_entropy": 0.4634668634533882,
"eval_physics_loss": 1.0529135465621948,
"eval_physics_mean_token_accuracy": 0.7717892789840698,
"eval_physics_num_tokens": 64998212.0,
"eval_physics_runtime": 52.0804,
"eval_physics_samples_per_second": 9.601,
"eval_physics_steps_per_second": 4.8,
"step": 3900
},
{
"entropy": 0.39407063769176603,
"epoch": 3.128,
"grad_norm": 5.09375,
"learning_rate": 1.3535555555555557e-05,
"loss": 0.3602,
"mean_token_accuracy": 0.8827631033957004,
"num_tokens": 65155653.0,
"step": 3910
},
{
"entropy": 0.37749654073268174,
"epoch": 3.136,
"grad_norm": 5.21875,
"learning_rate": 1.3513333333333333e-05,
"loss": 0.35,
"mean_token_accuracy": 0.8872763376682997,
"num_tokens": 65328436.0,
"step": 3920
},
{
"entropy": 0.35364336604252455,
"epoch": 3.144,
"grad_norm": 4.90625,
"learning_rate": 1.3491111111111113e-05,
"loss": 0.3243,
"mean_token_accuracy": 0.8945908039808274,
"num_tokens": 65495949.0,
"step": 3930
},
{
"entropy": 0.36987975845113397,
"epoch": 3.152,
"grad_norm": 5.125,
"learning_rate": 1.3468888888888888e-05,
"loss": 0.3438,
"mean_token_accuracy": 0.8887593563646078,
"num_tokens": 65659346.0,
"step": 3940
},
{
"entropy": 0.386718874424696,
"epoch": 3.16,
"grad_norm": 4.3125,
"learning_rate": 1.3446666666666668e-05,
"loss": 0.3595,
"mean_token_accuracy": 0.8847455944865942,
"num_tokens": 65822312.0,
"step": 3950
},
{
"entropy": 0.37097716331481934,
"epoch": 3.168,
"grad_norm": 5.6875,
"learning_rate": 1.3424444444444447e-05,
"loss": 0.3382,
"mean_token_accuracy": 0.8905388720333576,
"num_tokens": 65986382.0,
"step": 3960
},
{
"entropy": 0.3660844849422574,
"epoch": 3.176,
"grad_norm": 4.65625,
"learning_rate": 1.3402222222222223e-05,
"loss": 0.336,
"mean_token_accuracy": 0.8902653686702251,
"num_tokens": 66160738.0,
"step": 3970
},
{
"entropy": 0.3804160048253834,
"epoch": 3.184,
"grad_norm": 5.3125,
"learning_rate": 1.3380000000000002e-05,
"loss": 0.3503,
"mean_token_accuracy": 0.8860555302351714,
"num_tokens": 66324308.0,
"step": 3980
},
{
"entropy": 0.38136240411549804,
"epoch": 3.192,
"grad_norm": 5.71875,
"learning_rate": 1.3357777777777778e-05,
"loss": 0.3511,
"mean_token_accuracy": 0.8879099935293198,
"num_tokens": 66493224.0,
"step": 3990
},
{
"entropy": 0.37074621077626946,
"epoch": 3.2,
"grad_norm": 5.21875,
"learning_rate": 1.3335555555555558e-05,
"loss": 0.344,
"mean_token_accuracy": 0.8887821324169636,
"num_tokens": 66658712.0,
"step": 4000
},
{
"epoch": 3.2,
"eval_coding_entropy": 1.01984184217453,
"eval_coding_loss": 3.005119800567627,
"eval_coding_mean_token_accuracy": 0.4930288236141205,
"eval_coding_num_tokens": 66658712.0,
"eval_coding_runtime": 79.3471,
"eval_coding_samples_per_second": 6.301,
"eval_coding_steps_per_second": 3.151,
"step": 4000
},
{
"epoch": 3.2,
"eval_physics_entropy": 0.4624620456695557,
"eval_physics_loss": 1.0565595626831055,
"eval_physics_mean_token_accuracy": 0.7716201021671295,
"eval_physics_num_tokens": 66658712.0,
"eval_physics_runtime": 52.0937,
"eval_physics_samples_per_second": 9.598,
"eval_physics_steps_per_second": 4.799,
"step": 4000
}
],
"logging_steps": 10,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 4.181934968176853e+18,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}