Files
xz4e78xm/checkpoint-1500/trainer_state.json
ModelHub XC 4d303bc135 初始化项目,由ModelHub XC社区提供模型
Model: arunasank/xz4e78xm
Source: Original Platform
2026-07-02 02:06:16 +08:00

2195 lines
65 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.6694113719817514,
"eval_steps": 100,
"global_step": 1500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.3253214355558156,
"epoch": 0.017803493935684877,
"grad_norm": 14.5,
"learning_rate": 6.000000000000001e-07,
"loss": 2.1959,
"mean_token_accuracy": 0.5975642748177051,
"num_tokens": 259048.0,
"step": 10
},
{
"entropy": 1.3036176152527332,
"epoch": 0.035606987871369754,
"grad_norm": 12.75,
"learning_rate": 1.2666666666666669e-06,
"loss": 2.1499,
"mean_token_accuracy": 0.6023047739639878,
"num_tokens": 532019.0,
"step": 20
},
{
"entropy": 1.3484113823622466,
"epoch": 0.053410481807054634,
"grad_norm": 10.8125,
"learning_rate": 1.9333333333333336e-06,
"loss": 2.108,
"mean_token_accuracy": 0.6078463492915034,
"num_tokens": 807220.0,
"step": 30
},
{
"entropy": 1.4311681490391492,
"epoch": 0.07121397574273951,
"grad_norm": 7.875,
"learning_rate": 2.6e-06,
"loss": 2.0349,
"mean_token_accuracy": 0.6107733339071274,
"num_tokens": 1068429.0,
"step": 40
},
{
"entropy": 1.479667642340064,
"epoch": 0.08901746967842439,
"grad_norm": 6.4375,
"learning_rate": 3.266666666666667e-06,
"loss": 1.8649,
"mean_token_accuracy": 0.630409375578165,
"num_tokens": 1336698.0,
"step": 50
},
{
"entropy": 1.5030938494950532,
"epoch": 0.10682096361410927,
"grad_norm": 4.1875,
"learning_rate": 3.9333333333333335e-06,
"loss": 1.7217,
"mean_token_accuracy": 0.6490663634613156,
"num_tokens": 1608574.0,
"step": 60
},
{
"entropy": 1.5066865295171739,
"epoch": 0.12462445754979415,
"grad_norm": 2.71875,
"learning_rate": 4.600000000000001e-06,
"loss": 1.5716,
"mean_token_accuracy": 0.6711439102888107,
"num_tokens": 1872747.0,
"step": 70
},
{
"entropy": 1.3747932206839324,
"epoch": 0.14242795148547902,
"grad_norm": 2.234375,
"learning_rate": 5.2666666666666665e-06,
"loss": 1.4403,
"mean_token_accuracy": 0.6936415441334247,
"num_tokens": 2133173.0,
"step": 80
},
{
"entropy": 1.1736511185765266,
"epoch": 0.1602314454211639,
"grad_norm": 1.921875,
"learning_rate": 5.933333333333335e-06,
"loss": 1.2902,
"mean_token_accuracy": 0.7222886722534895,
"num_tokens": 2406145.0,
"step": 90
},
{
"entropy": 1.1317794900387526,
"epoch": 0.17803493935684878,
"grad_norm": 1.8046875,
"learning_rate": 6.600000000000001e-06,
"loss": 1.2424,
"mean_token_accuracy": 0.7295983772724867,
"num_tokens": 2663709.0,
"step": 100
},
{
"epoch": 0.17803493935684878,
"eval_biology_entropy": 2.3133783559799195,
"eval_biology_loss": 2.7910587787628174,
"eval_biology_mean_token_accuracy": 0.5260232911109924,
"eval_biology_num_tokens": 2663709.0,
"eval_biology_runtime": 39.1656,
"eval_biology_samples_per_second": 12.766,
"eval_biology_steps_per_second": 3.192,
"step": 100
},
{
"epoch": 0.17803493935684878,
"eval_chemistry_entropy": 1.0788086318969727,
"eval_chemistry_loss": 1.2403336763381958,
"eval_chemistry_mean_token_accuracy": 0.7357268543243408,
"eval_chemistry_num_tokens": 2663709.0,
"eval_chemistry_runtime": 48.7822,
"eval_chemistry_samples_per_second": 10.25,
"eval_chemistry_steps_per_second": 2.562,
"step": 100
},
{
"epoch": 0.17803493935684878,
"eval_math_entropy": 0.938195451259613,
"eval_math_loss": 1.3248047828674316,
"eval_math_mean_token_accuracy": 0.7312402629852295,
"eval_math_num_tokens": 2663709.0,
"eval_math_runtime": 50.197,
"eval_math_samples_per_second": 9.961,
"eval_math_steps_per_second": 2.49,
"step": 100
},
{
"epoch": 0.17803493935684878,
"eval_physics_entropy": 1.022246531009674,
"eval_physics_loss": 1.176153302192688,
"eval_physics_mean_token_accuracy": 0.7475795021057129,
"eval_physics_num_tokens": 2663709.0,
"eval_physics_runtime": 57.6895,
"eval_physics_samples_per_second": 8.667,
"eval_physics_steps_per_second": 2.167,
"step": 100
},
{
"entropy": 1.0380497876554728,
"epoch": 0.19583843329253367,
"grad_norm": 1.7421875,
"learning_rate": 7.266666666666668e-06,
"loss": 1.157,
"mean_token_accuracy": 0.7445634145289659,
"num_tokens": 2934980.0,
"step": 110
},
{
"entropy": 1.0149445166811346,
"epoch": 0.21364192722821854,
"grad_norm": 1.6015625,
"learning_rate": 7.933333333333334e-06,
"loss": 1.1167,
"mean_token_accuracy": 0.7485828153789044,
"num_tokens": 3208702.0,
"step": 120
},
{
"entropy": 0.9639404848217964,
"epoch": 0.2314454211639034,
"grad_norm": 1.6953125,
"learning_rate": 8.6e-06,
"loss": 1.0979,
"mean_token_accuracy": 0.7553199239075183,
"num_tokens": 3480119.0,
"step": 130
},
{
"entropy": 0.9687324531376362,
"epoch": 0.2492489150995883,
"grad_norm": 1.5625,
"learning_rate": 9.266666666666667e-06,
"loss": 1.0762,
"mean_token_accuracy": 0.757096454873681,
"num_tokens": 3746392.0,
"step": 140
},
{
"entropy": 0.9682734729722142,
"epoch": 0.26705240903527316,
"grad_norm": 1.875,
"learning_rate": 9.933333333333334e-06,
"loss": 1.0798,
"mean_token_accuracy": 0.7543047085404396,
"num_tokens": 4019487.0,
"step": 150
},
{
"entropy": 0.9270784268155694,
"epoch": 0.28485590297095803,
"grad_norm": 1.6015625,
"learning_rate": 1.0600000000000002e-05,
"loss": 1.047,
"mean_token_accuracy": 0.7619738396257162,
"num_tokens": 4298100.0,
"step": 160
},
{
"entropy": 0.9063327137380839,
"epoch": 0.30265939690664295,
"grad_norm": 1.5546875,
"learning_rate": 1.1266666666666668e-05,
"loss": 1.0199,
"mean_token_accuracy": 0.7664302848279476,
"num_tokens": 4568116.0,
"step": 170
},
{
"entropy": 0.9037324048578739,
"epoch": 0.3204628908423278,
"grad_norm": 1.7109375,
"learning_rate": 1.1933333333333335e-05,
"loss": 1.0144,
"mean_token_accuracy": 0.7657378144562245,
"num_tokens": 4831334.0,
"step": 180
},
{
"entropy": 0.8886868219822646,
"epoch": 0.3382663847780127,
"grad_norm": 1.3359375,
"learning_rate": 1.2600000000000001e-05,
"loss": 0.9874,
"mean_token_accuracy": 0.7726409930735827,
"num_tokens": 5103301.0,
"step": 190
},
{
"entropy": 0.8936551520600915,
"epoch": 0.35606987871369755,
"grad_norm": 1.3984375,
"learning_rate": 1.3266666666666668e-05,
"loss": 1.019,
"mean_token_accuracy": 0.7648640714585782,
"num_tokens": 5362915.0,
"step": 200
},
{
"epoch": 0.35606987871369755,
"eval_biology_entropy": 2.0171296310424807,
"eval_biology_loss": 2.3780677318573,
"eval_biology_mean_token_accuracy": 0.5706260974407196,
"eval_biology_num_tokens": 5362915.0,
"eval_biology_runtime": 39.1203,
"eval_biology_samples_per_second": 12.781,
"eval_biology_steps_per_second": 3.195,
"step": 200
},
{
"epoch": 0.35606987871369755,
"eval_chemistry_entropy": 0.8995157589912415,
"eval_chemistry_loss": 1.022930383682251,
"eval_chemistry_mean_token_accuracy": 0.7701377034187317,
"eval_chemistry_num_tokens": 5362915.0,
"eval_chemistry_runtime": 48.7263,
"eval_chemistry_samples_per_second": 10.261,
"eval_chemistry_steps_per_second": 2.565,
"step": 200
},
{
"epoch": 0.35606987871369755,
"eval_math_entropy": 0.8352043969631195,
"eval_math_loss": 1.1696399450302124,
"eval_math_mean_token_accuracy": 0.7531440143585205,
"eval_math_num_tokens": 5362915.0,
"eval_math_runtime": 50.1494,
"eval_math_samples_per_second": 9.97,
"eval_math_steps_per_second": 2.493,
"step": 200
},
{
"epoch": 0.35606987871369755,
"eval_physics_entropy": 0.8889413847923279,
"eval_physics_loss": 0.9962027072906494,
"eval_physics_mean_token_accuracy": 0.775176504611969,
"eval_physics_num_tokens": 5362915.0,
"eval_physics_runtime": 57.6533,
"eval_physics_samples_per_second": 8.673,
"eval_physics_steps_per_second": 2.168,
"step": 200
},
{
"entropy": 0.8509893301874399,
"epoch": 0.3738733726493824,
"grad_norm": 1.3359375,
"learning_rate": 1.3933333333333334e-05,
"loss": 0.9619,
"mean_token_accuracy": 0.7772600032389164,
"num_tokens": 5625455.0,
"step": 210
},
{
"entropy": 0.8560685662552714,
"epoch": 0.39167686658506734,
"grad_norm": 1.4609375,
"learning_rate": 1.46e-05,
"loss": 0.9666,
"mean_token_accuracy": 0.7764565829187632,
"num_tokens": 5890806.0,
"step": 220
},
{
"entropy": 0.8282079607248306,
"epoch": 0.4094803605207522,
"grad_norm": 1.3828125,
"learning_rate": 1.5266666666666667e-05,
"loss": 0.9353,
"mean_token_accuracy": 0.7817027729004622,
"num_tokens": 6158751.0,
"step": 230
},
{
"entropy": 0.8447791969403624,
"epoch": 0.4272838544564371,
"grad_norm": 1.4296875,
"learning_rate": 1.5933333333333336e-05,
"loss": 0.9428,
"mean_token_accuracy": 0.7795210376381874,
"num_tokens": 6423747.0,
"step": 240
},
{
"entropy": 0.8478817906230688,
"epoch": 0.44508734839212194,
"grad_norm": 1.8984375,
"learning_rate": 1.66e-05,
"loss": 0.9542,
"mean_token_accuracy": 0.7772787544876337,
"num_tokens": 6684517.0,
"step": 250
},
{
"entropy": 0.8135418241843582,
"epoch": 0.4628908423278068,
"grad_norm": 1.453125,
"learning_rate": 1.726666666666667e-05,
"loss": 0.9297,
"mean_token_accuracy": 0.783412617444992,
"num_tokens": 6945659.0,
"step": 260
},
{
"entropy": 0.8251218661665917,
"epoch": 0.48069433626349173,
"grad_norm": 1.6640625,
"learning_rate": 1.7933333333333333e-05,
"loss": 0.9307,
"mean_token_accuracy": 0.7831020273268223,
"num_tokens": 7217797.0,
"step": 270
},
{
"entropy": 0.7879339458420873,
"epoch": 0.4984978301991766,
"grad_norm": 1.328125,
"learning_rate": 1.86e-05,
"loss": 0.8795,
"mean_token_accuracy": 0.7897050529718399,
"num_tokens": 7498182.0,
"step": 280
},
{
"entropy": 0.8145477209240198,
"epoch": 0.5163013241348615,
"grad_norm": 1.265625,
"learning_rate": 1.926666666666667e-05,
"loss": 0.9187,
"mean_token_accuracy": 0.7838029216974973,
"num_tokens": 7761686.0,
"step": 290
},
{
"entropy": 0.8231891892850399,
"epoch": 0.5341048180705463,
"grad_norm": 1.5625,
"learning_rate": 1.9933333333333334e-05,
"loss": 0.9271,
"mean_token_accuracy": 0.7819279827177524,
"num_tokens": 8026923.0,
"step": 300
},
{
"epoch": 0.5341048180705463,
"eval_biology_entropy": 1.8821040544509888,
"eval_biology_loss": 2.226550340652466,
"eval_biology_mean_token_accuracy": 0.5873979187011719,
"eval_biology_num_tokens": 8026923.0,
"eval_biology_runtime": 39.1096,
"eval_biology_samples_per_second": 12.785,
"eval_biology_steps_per_second": 3.196,
"step": 300
},
{
"epoch": 0.5341048180705463,
"eval_chemistry_entropy": 0.7922393922805786,
"eval_chemistry_loss": 0.9438055157661438,
"eval_chemistry_mean_token_accuracy": 0.7841580080986023,
"eval_chemistry_num_tokens": 8026923.0,
"eval_chemistry_runtime": 48.7268,
"eval_chemistry_samples_per_second": 10.261,
"eval_chemistry_steps_per_second": 2.565,
"step": 300
},
{
"epoch": 0.5341048180705463,
"eval_math_entropy": 0.7649447858333588,
"eval_math_loss": 1.1145466566085815,
"eval_math_mean_token_accuracy": 0.763204463005066,
"eval_math_num_tokens": 8026923.0,
"eval_math_runtime": 50.1205,
"eval_math_samples_per_second": 9.976,
"eval_math_steps_per_second": 2.494,
"step": 300
},
{
"epoch": 0.5341048180705463,
"eval_physics_entropy": 0.7964776389598847,
"eval_physics_loss": 0.9373180866241455,
"eval_physics_mean_token_accuracy": 0.784841582775116,
"eval_physics_num_tokens": 8026923.0,
"eval_physics_runtime": 57.6222,
"eval_physics_samples_per_second": 8.677,
"eval_physics_steps_per_second": 2.169,
"step": 300
},
{
"entropy": 0.800599187426269,
"epoch": 0.5519083120062312,
"grad_norm": 1.6640625,
"learning_rate": 1.9933333333333334e-05,
"loss": 0.9071,
"mean_token_accuracy": 0.7856069568544626,
"num_tokens": 8301506.0,
"step": 310
},
{
"entropy": 0.7965721761807799,
"epoch": 0.5697118059419161,
"grad_norm": 1.234375,
"learning_rate": 1.985925925925926e-05,
"loss": 0.9139,
"mean_token_accuracy": 0.786777526140213,
"num_tokens": 8559126.0,
"step": 320
},
{
"entropy": 0.7925007566809654,
"epoch": 0.587515299877601,
"grad_norm": 1.4453125,
"learning_rate": 1.9785185185185187e-05,
"loss": 0.906,
"mean_token_accuracy": 0.7864235289394855,
"num_tokens": 8821088.0,
"step": 330
},
{
"entropy": 0.7728251311928034,
"epoch": 0.6053187938132859,
"grad_norm": 1.2109375,
"learning_rate": 1.971111111111111e-05,
"loss": 0.8764,
"mean_token_accuracy": 0.7919386122375727,
"num_tokens": 9089866.0,
"step": 340
},
{
"entropy": 0.7705478269606829,
"epoch": 0.6231222877489707,
"grad_norm": 1.3515625,
"learning_rate": 1.963703703703704e-05,
"loss": 0.8837,
"mean_token_accuracy": 0.7896027479320764,
"num_tokens": 9358866.0,
"step": 350
},
{
"entropy": 0.7656249281018972,
"epoch": 0.6409257816846556,
"grad_norm": 1.1875,
"learning_rate": 1.9562962962962964e-05,
"loss": 0.8626,
"mean_token_accuracy": 0.7931958142668009,
"num_tokens": 9629977.0,
"step": 360
},
{
"entropy": 0.7598591955378652,
"epoch": 0.6587292756203404,
"grad_norm": 1.296875,
"learning_rate": 1.948888888888889e-05,
"loss": 0.8608,
"mean_token_accuracy": 0.7945109561085701,
"num_tokens": 9897757.0,
"step": 370
},
{
"entropy": 0.7398761732503771,
"epoch": 0.6765327695560254,
"grad_norm": 1.265625,
"learning_rate": 1.9414814814814817e-05,
"loss": 0.848,
"mean_token_accuracy": 0.7985429972410202,
"num_tokens": 10168367.0,
"step": 380
},
{
"entropy": 0.7331193052232265,
"epoch": 0.6943362634917103,
"grad_norm": 1.4296875,
"learning_rate": 1.9340740740740743e-05,
"loss": 0.8366,
"mean_token_accuracy": 0.8001827634871006,
"num_tokens": 10439039.0,
"step": 390
},
{
"entropy": 0.7496613372117281,
"epoch": 0.7121397574273951,
"grad_norm": 1.15625,
"learning_rate": 1.926666666666667e-05,
"loss": 0.8517,
"mean_token_accuracy": 0.7967161379754544,
"num_tokens": 10709549.0,
"step": 400
},
{
"epoch": 0.7121397574273951,
"eval_biology_entropy": 1.823248610496521,
"eval_biology_loss": 2.159681558609009,
"eval_biology_mean_token_accuracy": 0.5972214796543122,
"eval_biology_num_tokens": 10709549.0,
"eval_biology_runtime": 39.2024,
"eval_biology_samples_per_second": 12.754,
"eval_biology_steps_per_second": 3.189,
"step": 400
},
{
"epoch": 0.7121397574273951,
"eval_chemistry_entropy": 0.7672218294143677,
"eval_chemistry_loss": 0.8971230387687683,
"eval_chemistry_mean_token_accuracy": 0.7928389143943787,
"eval_chemistry_num_tokens": 10709549.0,
"eval_chemistry_runtime": 48.8296,
"eval_chemistry_samples_per_second": 10.24,
"eval_chemistry_steps_per_second": 2.56,
"step": 400
},
{
"epoch": 0.7121397574273951,
"eval_math_entropy": 0.7494234163761139,
"eval_math_loss": 1.0849554538726807,
"eval_math_mean_token_accuracy": 0.7666959943771362,
"eval_math_num_tokens": 10709549.0,
"eval_math_runtime": 50.2325,
"eval_math_samples_per_second": 9.954,
"eval_math_steps_per_second": 2.488,
"step": 400
},
{
"epoch": 0.7121397574273951,
"eval_physics_entropy": 0.7731240901947022,
"eval_physics_loss": 0.9018430709838867,
"eval_physics_mean_token_accuracy": 0.7909709796905517,
"eval_physics_num_tokens": 10709549.0,
"eval_physics_runtime": 57.7809,
"eval_physics_samples_per_second": 8.653,
"eval_physics_steps_per_second": 2.163,
"step": 400
},
{
"entropy": 0.7354462265968322,
"epoch": 0.72994325136308,
"grad_norm": 1.3125,
"learning_rate": 1.9192592592592593e-05,
"loss": 0.8411,
"mean_token_accuracy": 0.8003354988992214,
"num_tokens": 10976011.0,
"step": 410
},
{
"entropy": 0.7435122076421976,
"epoch": 0.7477467452987648,
"grad_norm": 1.15625,
"learning_rate": 1.911851851851852e-05,
"loss": 0.8438,
"mean_token_accuracy": 0.7971596572548151,
"num_tokens": 11245251.0,
"step": 420
},
{
"entropy": 0.759309609234333,
"epoch": 0.7655502392344498,
"grad_norm": 1.375,
"learning_rate": 1.9044444444444446e-05,
"loss": 0.8579,
"mean_token_accuracy": 0.792990094423294,
"num_tokens": 11518514.0,
"step": 430
},
{
"entropy": 0.7545185785740613,
"epoch": 0.7833537331701347,
"grad_norm": 1.3125,
"learning_rate": 1.8970370370370372e-05,
"loss": 0.8574,
"mean_token_accuracy": 0.794682926684618,
"num_tokens": 11787117.0,
"step": 440
},
{
"entropy": 0.751254404336214,
"epoch": 0.8011572271058195,
"grad_norm": 1.515625,
"learning_rate": 1.8896296296296295e-05,
"loss": 0.8495,
"mean_token_accuracy": 0.7972703959792853,
"num_tokens": 12050993.0,
"step": 450
},
{
"entropy": 0.7543802969157696,
"epoch": 0.8189607210415044,
"grad_norm": 1.28125,
"learning_rate": 1.8822222222222225e-05,
"loss": 0.8527,
"mean_token_accuracy": 0.7960003320127725,
"num_tokens": 12311688.0,
"step": 460
},
{
"entropy": 0.7186065271496773,
"epoch": 0.8367642149771892,
"grad_norm": 1.15625,
"learning_rate": 1.874814814814815e-05,
"loss": 0.8096,
"mean_token_accuracy": 0.8027401898056269,
"num_tokens": 12598408.0,
"step": 470
},
{
"entropy": 0.7257912319153548,
"epoch": 0.8545677089128741,
"grad_norm": 1.125,
"learning_rate": 1.8674074074074075e-05,
"loss": 0.8299,
"mean_token_accuracy": 0.8012042317539454,
"num_tokens": 12869642.0,
"step": 480
},
{
"entropy": 0.7173270899802446,
"epoch": 0.8723712028485591,
"grad_norm": 1.125,
"learning_rate": 1.86e-05,
"loss": 0.8146,
"mean_token_accuracy": 0.8032398864626884,
"num_tokens": 13139555.0,
"step": 490
},
{
"entropy": 0.7487573977559805,
"epoch": 0.8901746967842439,
"grad_norm": 1.2421875,
"learning_rate": 1.8525925925925928e-05,
"loss": 0.8562,
"mean_token_accuracy": 0.7955521304160357,
"num_tokens": 13396545.0,
"step": 500
},
{
"epoch": 0.8901746967842439,
"eval_biology_entropy": 1.8204833917617798,
"eval_biology_loss": 2.1014022827148438,
"eval_biology_mean_token_accuracy": 0.6051526765823364,
"eval_biology_num_tokens": 13396545.0,
"eval_biology_runtime": 39.1543,
"eval_biology_samples_per_second": 12.77,
"eval_biology_steps_per_second": 3.192,
"step": 500
},
{
"epoch": 0.8901746967842439,
"eval_chemistry_entropy": 0.7538458592891694,
"eval_chemistry_loss": 0.8699584007263184,
"eval_chemistry_mean_token_accuracy": 0.7975720787048339,
"eval_chemistry_num_tokens": 13396545.0,
"eval_chemistry_runtime": 48.8229,
"eval_chemistry_samples_per_second": 10.241,
"eval_chemistry_steps_per_second": 2.56,
"step": 500
},
{
"epoch": 0.8901746967842439,
"eval_math_entropy": 0.7398368701934814,
"eval_math_loss": 1.0758970975875854,
"eval_math_mean_token_accuracy": 0.7687290472984314,
"eval_math_num_tokens": 13396545.0,
"eval_math_runtime": 50.0916,
"eval_math_samples_per_second": 9.982,
"eval_math_steps_per_second": 2.495,
"step": 500
},
{
"epoch": 0.8901746967842439,
"eval_physics_entropy": 0.7607374501228332,
"eval_physics_loss": 0.8848790526390076,
"eval_physics_mean_token_accuracy": 0.7937801394462586,
"eval_physics_num_tokens": 13396545.0,
"eval_physics_runtime": 57.6599,
"eval_physics_samples_per_second": 8.672,
"eval_physics_steps_per_second": 2.168,
"step": 500
},
{
"entropy": 0.7129743231460453,
"epoch": 0.9079781907199288,
"grad_norm": 1.1640625,
"learning_rate": 1.8451851851851855e-05,
"loss": 0.8109,
"mean_token_accuracy": 0.8060642663389445,
"num_tokens": 13667857.0,
"step": 510
},
{
"entropy": 0.7393450669944286,
"epoch": 0.9257816846556136,
"grad_norm": 1.1484375,
"learning_rate": 1.8377777777777778e-05,
"loss": 0.8325,
"mean_token_accuracy": 0.7997861213982105,
"num_tokens": 13932771.0,
"step": 520
},
{
"entropy": 0.7191115407273173,
"epoch": 0.9435851785912985,
"grad_norm": 1.1640625,
"learning_rate": 1.8303703703703704e-05,
"loss": 0.8233,
"mean_token_accuracy": 0.8034567594528198,
"num_tokens": 14194632.0,
"step": 530
},
{
"entropy": 0.7434917811304331,
"epoch": 0.9613886725269835,
"grad_norm": 1.1484375,
"learning_rate": 1.822962962962963e-05,
"loss": 0.8435,
"mean_token_accuracy": 0.7969928599894047,
"num_tokens": 14457650.0,
"step": 540
},
{
"entropy": 0.7100320702418685,
"epoch": 0.9791921664626683,
"grad_norm": 1.125,
"learning_rate": 1.8155555555555557e-05,
"loss": 0.8149,
"mean_token_accuracy": 0.803739969804883,
"num_tokens": 14724967.0,
"step": 550
},
{
"entropy": 0.737933493219316,
"epoch": 0.9969956603983532,
"grad_norm": 1.1875,
"learning_rate": 1.8081481481481484e-05,
"loss": 0.8421,
"mean_token_accuracy": 0.8001800544559956,
"num_tokens": 14993272.0,
"step": 560
},
{
"entropy": 0.6655864379098339,
"epoch": 1.014242795148548,
"grad_norm": 1.1171875,
"learning_rate": 1.800740740740741e-05,
"loss": 0.7668,
"mean_token_accuracy": 0.814733551779101,
"num_tokens": 15254936.0,
"step": 570
},
{
"entropy": 0.6937626471742988,
"epoch": 1.0320462890842328,
"grad_norm": 1.2578125,
"learning_rate": 1.7933333333333333e-05,
"loss": 0.7942,
"mean_token_accuracy": 0.806296594068408,
"num_tokens": 15515007.0,
"step": 580
},
{
"entropy": 0.6596947606652975,
"epoch": 1.0498497830199176,
"grad_norm": 1.2890625,
"learning_rate": 1.785925925925926e-05,
"loss": 0.7623,
"mean_token_accuracy": 0.8152227636426688,
"num_tokens": 15794203.0,
"step": 590
},
{
"entropy": 0.6868148937821388,
"epoch": 1.0676532769556026,
"grad_norm": 1.1640625,
"learning_rate": 1.7785185185185186e-05,
"loss": 0.7827,
"mean_token_accuracy": 0.8101296100765467,
"num_tokens": 16063664.0,
"step": 600
},
{
"epoch": 1.0676532769556026,
"eval_biology_entropy": 1.6867316131591796,
"eval_biology_loss": 2.077732801437378,
"eval_biology_mean_token_accuracy": 0.6078621828556061,
"eval_biology_num_tokens": 16063664.0,
"eval_biology_runtime": 39.1079,
"eval_biology_samples_per_second": 12.785,
"eval_biology_steps_per_second": 3.196,
"step": 600
},
{
"epoch": 1.0676532769556026,
"eval_chemistry_entropy": 0.6882545161247253,
"eval_chemistry_loss": 0.8549924492835999,
"eval_chemistry_mean_token_accuracy": 0.8009334373474121,
"eval_chemistry_num_tokens": 16063664.0,
"eval_chemistry_runtime": 48.732,
"eval_chemistry_samples_per_second": 10.26,
"eval_chemistry_steps_per_second": 2.565,
"step": 600
},
{
"epoch": 1.0676532769556026,
"eval_math_entropy": 0.6883157949447631,
"eval_math_loss": 1.075770616531372,
"eval_math_mean_token_accuracy": 0.7705092186927796,
"eval_math_num_tokens": 16063664.0,
"eval_math_runtime": 50.1345,
"eval_math_samples_per_second": 9.973,
"eval_math_steps_per_second": 2.493,
"step": 600
},
{
"epoch": 1.0676532769556026,
"eval_physics_entropy": 0.7055722939968109,
"eval_physics_loss": 0.8771266937255859,
"eval_physics_mean_token_accuracy": 0.7955313258171082,
"eval_physics_num_tokens": 16063664.0,
"eval_physics_runtime": 57.6658,
"eval_physics_samples_per_second": 8.671,
"eval_physics_steps_per_second": 2.168,
"step": 600
},
{
"entropy": 0.6597639428451657,
"epoch": 1.0854567708912874,
"grad_norm": 1.203125,
"learning_rate": 1.7711111111111113e-05,
"loss": 0.7655,
"mean_token_accuracy": 0.8151189126074314,
"num_tokens": 16338303.0,
"step": 610
},
{
"entropy": 0.6991181125864386,
"epoch": 1.1032602648269723,
"grad_norm": 1.2734375,
"learning_rate": 1.763703703703704e-05,
"loss": 0.7934,
"mean_token_accuracy": 0.8071035247296094,
"num_tokens": 16606302.0,
"step": 620
},
{
"entropy": 0.6774254593998194,
"epoch": 1.121063758762657,
"grad_norm": 1.28125,
"learning_rate": 1.7562962962962962e-05,
"loss": 0.7706,
"mean_token_accuracy": 0.8098537240177393,
"num_tokens": 16877071.0,
"step": 630
},
{
"entropy": 0.6678685389459134,
"epoch": 1.138867252698342,
"grad_norm": 1.203125,
"learning_rate": 1.7488888888888892e-05,
"loss": 0.7714,
"mean_token_accuracy": 0.8127609983086586,
"num_tokens": 17145775.0,
"step": 640
},
{
"entropy": 0.6851805068552494,
"epoch": 1.156670746634027,
"grad_norm": 1.2890625,
"learning_rate": 1.7414814814814815e-05,
"loss": 0.777,
"mean_token_accuracy": 0.8110932789742946,
"num_tokens": 17410775.0,
"step": 650
},
{
"entropy": 0.7042925998568534,
"epoch": 1.1744742405697117,
"grad_norm": 1.375,
"learning_rate": 1.7340740740740742e-05,
"loss": 0.7979,
"mean_token_accuracy": 0.8038393501192331,
"num_tokens": 17677791.0,
"step": 660
},
{
"entropy": 0.6810087833553553,
"epoch": 1.1922777345053968,
"grad_norm": 1.1484375,
"learning_rate": 1.726666666666667e-05,
"loss": 0.7688,
"mean_token_accuracy": 0.8104576140642166,
"num_tokens": 17949441.0,
"step": 670
},
{
"entropy": 0.662551742233336,
"epoch": 1.2100812284410816,
"grad_norm": 1.2109375,
"learning_rate": 1.7192592592592595e-05,
"loss": 0.7653,
"mean_token_accuracy": 0.8126230895519256,
"num_tokens": 18217742.0,
"step": 680
},
{
"entropy": 0.6803617887198925,
"epoch": 1.2278847223767664,
"grad_norm": 1.2421875,
"learning_rate": 1.711851851851852e-05,
"loss": 0.7771,
"mean_token_accuracy": 0.8095329128205776,
"num_tokens": 18487769.0,
"step": 690
},
{
"entropy": 0.6707866100594402,
"epoch": 1.2456882163124514,
"grad_norm": 1.34375,
"learning_rate": 1.7044444444444445e-05,
"loss": 0.7687,
"mean_token_accuracy": 0.8113945126533508,
"num_tokens": 18760296.0,
"step": 700
},
{
"epoch": 1.2456882163124514,
"eval_biology_entropy": 1.6589141931533813,
"eval_biology_loss": 2.081825017929077,
"eval_biology_mean_token_accuracy": 0.608892562866211,
"eval_biology_num_tokens": 18760296.0,
"eval_biology_runtime": 39.8083,
"eval_biology_samples_per_second": 12.56,
"eval_biology_steps_per_second": 3.14,
"step": 700
},
{
"epoch": 1.2456882163124514,
"eval_chemistry_entropy": 0.6833467047214508,
"eval_chemistry_loss": 0.8464663028717041,
"eval_chemistry_mean_token_accuracy": 0.80278346824646,
"eval_chemistry_num_tokens": 18760296.0,
"eval_chemistry_runtime": 49.1467,
"eval_chemistry_samples_per_second": 10.174,
"eval_chemistry_steps_per_second": 2.543,
"step": 700
},
{
"epoch": 1.2456882163124514,
"eval_math_entropy": 0.6947779231071473,
"eval_math_loss": 1.0786137580871582,
"eval_math_mean_token_accuracy": 0.7709644784927369,
"eval_math_num_tokens": 18760296.0,
"eval_math_runtime": 52.5755,
"eval_math_samples_per_second": 9.51,
"eval_math_steps_per_second": 2.378,
"step": 700
},
{
"epoch": 1.2456882163124514,
"eval_physics_entropy": 0.704109364271164,
"eval_physics_loss": 0.8724388480186462,
"eval_physics_mean_token_accuracy": 0.796642897605896,
"eval_physics_num_tokens": 18760296.0,
"eval_physics_runtime": 61.3658,
"eval_physics_samples_per_second": 8.148,
"eval_physics_steps_per_second": 2.037,
"step": 700
},
{
"entropy": 0.6705936685204505,
"epoch": 1.2634917102481362,
"grad_norm": 1.140625,
"learning_rate": 1.697037037037037e-05,
"loss": 0.7618,
"mean_token_accuracy": 0.8144830856472254,
"num_tokens": 19035733.0,
"step": 710
},
{
"entropy": 0.6870324395596981,
"epoch": 1.281295204183821,
"grad_norm": 1.1953125,
"learning_rate": 1.6896296296296298e-05,
"loss": 0.7849,
"mean_token_accuracy": 0.807737946882844,
"num_tokens": 19311432.0,
"step": 720
},
{
"entropy": 0.6551721351221204,
"epoch": 1.299098698119506,
"grad_norm": 1.0859375,
"learning_rate": 1.6822222222222224e-05,
"loss": 0.7538,
"mean_token_accuracy": 0.8164622981101275,
"num_tokens": 19593016.0,
"step": 730
},
{
"entropy": 0.6645344085991383,
"epoch": 1.3169021920551909,
"grad_norm": 1.1796875,
"learning_rate": 1.6748148148148147e-05,
"loss": 0.759,
"mean_token_accuracy": 0.8134492743760348,
"num_tokens": 19860476.0,
"step": 740
},
{
"entropy": 0.6684485200792551,
"epoch": 1.3347056859908757,
"grad_norm": 1.3515625,
"learning_rate": 1.6674074074074077e-05,
"loss": 0.7632,
"mean_token_accuracy": 0.8128790140151978,
"num_tokens": 20124436.0,
"step": 750
},
{
"entropy": 0.6736280497163534,
"epoch": 1.3525091799265607,
"grad_norm": 1.25,
"learning_rate": 1.66e-05,
"loss": 0.7771,
"mean_token_accuracy": 0.813029420748353,
"num_tokens": 20388027.0,
"step": 760
},
{
"entropy": 0.6706711670383811,
"epoch": 1.3703126738622455,
"grad_norm": 1.265625,
"learning_rate": 1.6525925925925927e-05,
"loss": 0.7697,
"mean_token_accuracy": 0.8115393359214067,
"num_tokens": 20656076.0,
"step": 770
},
{
"entropy": 0.6996258163824678,
"epoch": 1.3881161677979303,
"grad_norm": 1.2578125,
"learning_rate": 1.6451851851851853e-05,
"loss": 0.8077,
"mean_token_accuracy": 0.8058754079043865,
"num_tokens": 20911633.0,
"step": 780
},
{
"entropy": 0.6905225297436118,
"epoch": 1.4059196617336152,
"grad_norm": 1.171875,
"learning_rate": 1.637777777777778e-05,
"loss": 0.7955,
"mean_token_accuracy": 0.8070559553802014,
"num_tokens": 21176227.0,
"step": 790
},
{
"entropy": 0.6718146029859782,
"epoch": 1.4237231556693,
"grad_norm": 1.2890625,
"learning_rate": 1.6303703703703706e-05,
"loss": 0.7716,
"mean_token_accuracy": 0.8126390781253576,
"num_tokens": 21445242.0,
"step": 800
},
{
"epoch": 1.4237231556693,
"eval_biology_entropy": 1.6255396161079407,
"eval_biology_loss": 2.0511693954467773,
"eval_biology_mean_token_accuracy": 0.6119143316745758,
"eval_biology_num_tokens": 21445242.0,
"eval_biology_runtime": 42.4445,
"eval_biology_samples_per_second": 11.78,
"eval_biology_steps_per_second": 2.945,
"step": 800
},
{
"epoch": 1.4237231556693,
"eval_chemistry_entropy": 0.6763756844997406,
"eval_chemistry_loss": 0.8368268609046936,
"eval_chemistry_mean_token_accuracy": 0.8050474629402161,
"eval_chemistry_num_tokens": 21445242.0,
"eval_chemistry_runtime": 51.5104,
"eval_chemistry_samples_per_second": 9.707,
"eval_chemistry_steps_per_second": 2.427,
"step": 800
},
{
"epoch": 1.4237231556693,
"eval_math_entropy": 0.6853804645538331,
"eval_math_loss": 1.0698176622390747,
"eval_math_mean_token_accuracy": 0.7714386968612671,
"eval_math_num_tokens": 21445242.0,
"eval_math_runtime": 54.9388,
"eval_math_samples_per_second": 9.101,
"eval_math_steps_per_second": 2.275,
"step": 800
},
{
"epoch": 1.4237231556693,
"eval_physics_entropy": 0.6991692934036254,
"eval_physics_loss": 0.8673914074897766,
"eval_physics_mean_token_accuracy": 0.7979785161018371,
"eval_physics_num_tokens": 21445242.0,
"eval_physics_runtime": 60.9527,
"eval_physics_samples_per_second": 8.203,
"eval_physics_steps_per_second": 2.051,
"step": 800
},
{
"entropy": 0.6695453573018313,
"epoch": 1.441526649604985,
"grad_norm": 1.3125,
"learning_rate": 1.622962962962963e-05,
"loss": 0.77,
"mean_token_accuracy": 0.8109262142330408,
"num_tokens": 21718455.0,
"step": 810
},
{
"entropy": 0.6753543723374605,
"epoch": 1.4593301435406698,
"grad_norm": 1.2734375,
"learning_rate": 1.6155555555555556e-05,
"loss": 0.7782,
"mean_token_accuracy": 0.8130301378667355,
"num_tokens": 21974076.0,
"step": 820
},
{
"entropy": 0.6758085643872619,
"epoch": 1.4771336374763546,
"grad_norm": 1.2265625,
"learning_rate": 1.6081481481481482e-05,
"loss": 0.7768,
"mean_token_accuracy": 0.8110865034162998,
"num_tokens": 22241599.0,
"step": 830
},
{
"entropy": 0.6868746858090162,
"epoch": 1.4949371314120397,
"grad_norm": 1.34375,
"learning_rate": 1.600740740740741e-05,
"loss": 0.7818,
"mean_token_accuracy": 0.8090599600225687,
"num_tokens": 22510725.0,
"step": 840
},
{
"entropy": 0.6554480012506246,
"epoch": 1.5127406253477245,
"grad_norm": 1.1796875,
"learning_rate": 1.5933333333333336e-05,
"loss": 0.766,
"mean_token_accuracy": 0.8149232871830463,
"num_tokens": 22778514.0,
"step": 850
},
{
"entropy": 0.6574800366535782,
"epoch": 1.5305441192834093,
"grad_norm": 1.2734375,
"learning_rate": 1.5859259259259262e-05,
"loss": 0.7517,
"mean_token_accuracy": 0.8147028144448996,
"num_tokens": 23051230.0,
"step": 860
},
{
"entropy": 0.6707898294553161,
"epoch": 1.5483476132190943,
"grad_norm": 1.21875,
"learning_rate": 1.5785185185185185e-05,
"loss": 0.776,
"mean_token_accuracy": 0.8121768556535244,
"num_tokens": 23306327.0,
"step": 870
},
{
"entropy": 0.6759747974574566,
"epoch": 1.5661511071547791,
"grad_norm": 1.234375,
"learning_rate": 1.571111111111111e-05,
"loss": 0.7717,
"mean_token_accuracy": 0.810706127434969,
"num_tokens": 23573127.0,
"step": 880
},
{
"entropy": 0.6696014609187841,
"epoch": 1.583954601090464,
"grad_norm": 1.1953125,
"learning_rate": 1.5637037037037038e-05,
"loss": 0.7635,
"mean_token_accuracy": 0.8123903065919876,
"num_tokens": 23841914.0,
"step": 890
},
{
"entropy": 0.6680066948756576,
"epoch": 1.601758095026149,
"grad_norm": 1.28125,
"learning_rate": 1.5562962962962965e-05,
"loss": 0.7763,
"mean_token_accuracy": 0.8117439385503531,
"num_tokens": 24105114.0,
"step": 900
},
{
"epoch": 1.601758095026149,
"eval_biology_entropy": 1.6559728245735168,
"eval_biology_loss": 2.0387370586395264,
"eval_biology_mean_token_accuracy": 0.6136598820686341,
"eval_biology_num_tokens": 24105114.0,
"eval_biology_runtime": 41.4479,
"eval_biology_samples_per_second": 12.063,
"eval_biology_steps_per_second": 3.016,
"step": 900
},
{
"epoch": 1.601758095026149,
"eval_chemistry_entropy": 0.683923549413681,
"eval_chemistry_loss": 0.8298754692077637,
"eval_chemistry_mean_token_accuracy": 0.8061454033851624,
"eval_chemistry_num_tokens": 24105114.0,
"eval_chemistry_runtime": 50.8984,
"eval_chemistry_samples_per_second": 9.823,
"eval_chemistry_steps_per_second": 2.456,
"step": 900
},
{
"epoch": 1.601758095026149,
"eval_math_entropy": 0.6932375190258027,
"eval_math_loss": 1.06475830078125,
"eval_math_mean_token_accuracy": 0.7720690259933471,
"eval_math_num_tokens": 24105114.0,
"eval_math_runtime": 52.5544,
"eval_math_samples_per_second": 9.514,
"eval_math_steps_per_second": 2.378,
"step": 900
},
{
"epoch": 1.601758095026149,
"eval_physics_entropy": 0.7051843535900116,
"eval_physics_loss": 0.8616264462471008,
"eval_physics_mean_token_accuracy": 0.7987073979377747,
"eval_physics_num_tokens": 24105114.0,
"eval_physics_runtime": 59.8508,
"eval_physics_samples_per_second": 8.354,
"eval_physics_steps_per_second": 2.089,
"step": 900
},
{
"entropy": 0.6430077504366636,
"epoch": 1.6195615889618338,
"grad_norm": 1.1640625,
"learning_rate": 1.548888888888889e-05,
"loss": 0.743,
"mean_token_accuracy": 0.8184590026736259,
"num_tokens": 24384008.0,
"step": 910
},
{
"entropy": 0.6775279760360717,
"epoch": 1.6373650828975186,
"grad_norm": 1.3125,
"learning_rate": 1.5414814814814814e-05,
"loss": 0.7704,
"mean_token_accuracy": 0.8114439699798822,
"num_tokens": 24638205.0,
"step": 920
},
{
"entropy": 0.6244934551417828,
"epoch": 1.6551685768332036,
"grad_norm": 1.1953125,
"learning_rate": 1.5340740740740744e-05,
"loss": 0.7253,
"mean_token_accuracy": 0.8222480688244105,
"num_tokens": 24910104.0,
"step": 930
},
{
"entropy": 0.6539383618161082,
"epoch": 1.6729720707688884,
"grad_norm": 1.2578125,
"learning_rate": 1.5266666666666667e-05,
"loss": 0.7471,
"mean_token_accuracy": 0.8160006206482648,
"num_tokens": 25181306.0,
"step": 940
},
{
"entropy": 0.6607510834932327,
"epoch": 1.6907755647045732,
"grad_norm": 1.3203125,
"learning_rate": 1.5192592592592594e-05,
"loss": 0.7589,
"mean_token_accuracy": 0.8142590031027794,
"num_tokens": 25449138.0,
"step": 950
},
{
"entropy": 0.6612858925014734,
"epoch": 1.7085790586402583,
"grad_norm": 1.203125,
"learning_rate": 1.5118518518518519e-05,
"loss": 0.766,
"mean_token_accuracy": 0.8137270450592041,
"num_tokens": 25709030.0,
"step": 960
},
{
"entropy": 0.6701876953244209,
"epoch": 1.7263825525759429,
"grad_norm": 1.2734375,
"learning_rate": 1.5044444444444445e-05,
"loss": 0.7702,
"mean_token_accuracy": 0.8120660580694675,
"num_tokens": 25972807.0,
"step": 970
},
{
"entropy": 0.6566708590835333,
"epoch": 1.744186046511628,
"grad_norm": 1.1640625,
"learning_rate": 1.497037037037037e-05,
"loss": 0.748,
"mean_token_accuracy": 0.8170768674463034,
"num_tokens": 26244955.0,
"step": 980
},
{
"entropy": 0.624184824153781,
"epoch": 1.761989540447313,
"grad_norm": 1.1796875,
"learning_rate": 1.4896296296296298e-05,
"loss": 0.7284,
"mean_token_accuracy": 0.8223610106855631,
"num_tokens": 26515548.0,
"step": 990
},
{
"entropy": 0.6476762825623155,
"epoch": 1.7797930343829975,
"grad_norm": 1.21875,
"learning_rate": 1.4822222222222225e-05,
"loss": 0.7422,
"mean_token_accuracy": 0.8172390758991241,
"num_tokens": 26782376.0,
"step": 1000
},
{
"epoch": 1.7797930343829975,
"eval_biology_entropy": 1.6157320532798767,
"eval_biology_loss": 2.0338852405548096,
"eval_biology_mean_token_accuracy": 0.6143801593780518,
"eval_biology_num_tokens": 26782376.0,
"eval_biology_runtime": 41.5849,
"eval_biology_samples_per_second": 12.024,
"eval_biology_steps_per_second": 3.006,
"step": 1000
},
{
"epoch": 1.7797930343829975,
"eval_chemistry_entropy": 0.6670743160247803,
"eval_chemistry_loss": 0.8244208097457886,
"eval_chemistry_mean_token_accuracy": 0.8077364330291747,
"eval_chemistry_num_tokens": 26782376.0,
"eval_chemistry_runtime": 53.0274,
"eval_chemistry_samples_per_second": 9.429,
"eval_chemistry_steps_per_second": 2.357,
"step": 1000
},
{
"epoch": 1.7797930343829975,
"eval_math_entropy": 0.6760952143669129,
"eval_math_loss": 1.0642753839492798,
"eval_math_mean_token_accuracy": 0.7728619589805603,
"eval_math_num_tokens": 26782376.0,
"eval_math_runtime": 53.8997,
"eval_math_samples_per_second": 9.276,
"eval_math_steps_per_second": 2.319,
"step": 1000
},
{
"epoch": 1.7797930343829975,
"eval_physics_entropy": 0.6914605097770691,
"eval_physics_loss": 0.8597292304039001,
"eval_physics_mean_token_accuracy": 0.7992245469093323,
"eval_physics_num_tokens": 26782376.0,
"eval_physics_runtime": 62.8355,
"eval_physics_samples_per_second": 7.957,
"eval_physics_steps_per_second": 1.989,
"step": 1000
},
{
"entropy": 0.660948914475739,
"epoch": 1.7975965283186826,
"grad_norm": 1.359375,
"learning_rate": 1.474814814814815e-05,
"loss": 0.7562,
"mean_token_accuracy": 0.8152279850095511,
"num_tokens": 27049648.0,
"step": 1010
},
{
"entropy": 0.6787248050794006,
"epoch": 1.8154000222543676,
"grad_norm": 1.3359375,
"learning_rate": 1.4674074074074076e-05,
"loss": 0.7771,
"mean_token_accuracy": 0.8101395227015018,
"num_tokens": 27315061.0,
"step": 1020
},
{
"entropy": 0.6424054227769375,
"epoch": 1.8332035161900522,
"grad_norm": 1.359375,
"learning_rate": 1.46e-05,
"loss": 0.7373,
"mean_token_accuracy": 0.8189616728574037,
"num_tokens": 27587650.0,
"step": 1030
},
{
"entropy": 0.6606515791267157,
"epoch": 1.8510070101257372,
"grad_norm": 1.15625,
"learning_rate": 1.4525925925925927e-05,
"loss": 0.7652,
"mean_token_accuracy": 0.8157406080514192,
"num_tokens": 27855458.0,
"step": 1040
},
{
"entropy": 0.6464399367570877,
"epoch": 1.868810504061422,
"grad_norm": 1.203125,
"learning_rate": 1.4451851851851852e-05,
"loss": 0.7464,
"mean_token_accuracy": 0.8191553246229887,
"num_tokens": 28127703.0,
"step": 1050
},
{
"entropy": 0.633565224148333,
"epoch": 1.8866139979971068,
"grad_norm": 1.140625,
"learning_rate": 1.4377777777777779e-05,
"loss": 0.7265,
"mean_token_accuracy": 0.8215953864157199,
"num_tokens": 28395128.0,
"step": 1060
},
{
"entropy": 0.651407066360116,
"epoch": 1.9044174919327919,
"grad_norm": 1.2421875,
"learning_rate": 1.4303703703703703e-05,
"loss": 0.752,
"mean_token_accuracy": 0.8161330189555883,
"num_tokens": 28662344.0,
"step": 1070
},
{
"entropy": 0.6537632567808032,
"epoch": 1.9222209858684767,
"grad_norm": 1.3125,
"learning_rate": 1.4229629629629632e-05,
"loss": 0.7551,
"mean_token_accuracy": 0.8160409614443779,
"num_tokens": 28928769.0,
"step": 1080
},
{
"entropy": 0.6610247550532222,
"epoch": 1.9400244798041615,
"grad_norm": 1.5625,
"learning_rate": 1.4155555555555556e-05,
"loss": 0.7599,
"mean_token_accuracy": 0.8147491872310638,
"num_tokens": 29186214.0,
"step": 1090
},
{
"entropy": 0.6632727082818747,
"epoch": 1.9578279737398465,
"grad_norm": 1.2109375,
"learning_rate": 1.4081481481481483e-05,
"loss": 0.7706,
"mean_token_accuracy": 0.8126637618988752,
"num_tokens": 29446445.0,
"step": 1100
},
{
"epoch": 1.9578279737398465,
"eval_biology_entropy": 1.639104124546051,
"eval_biology_loss": 2.0316033363342285,
"eval_biology_mean_token_accuracy": 0.615292895078659,
"eval_biology_num_tokens": 29446445.0,
"eval_biology_runtime": 41.3569,
"eval_biology_samples_per_second": 12.09,
"eval_biology_steps_per_second": 3.022,
"step": 1100
},
{
"epoch": 1.9578279737398465,
"eval_chemistry_entropy": 0.6696053767204284,
"eval_chemistry_loss": 0.8191399574279785,
"eval_chemistry_mean_token_accuracy": 0.8085824422836304,
"eval_chemistry_num_tokens": 29446445.0,
"eval_chemistry_runtime": 50.7996,
"eval_chemistry_samples_per_second": 9.843,
"eval_chemistry_steps_per_second": 2.461,
"step": 1100
},
{
"epoch": 1.9578279737398465,
"eval_math_entropy": 0.6799165282249451,
"eval_math_loss": 1.0633617639541626,
"eval_math_mean_token_accuracy": 0.7729020061492919,
"eval_math_num_tokens": 29446445.0,
"eval_math_runtime": 52.3664,
"eval_math_samples_per_second": 9.548,
"eval_math_steps_per_second": 2.387,
"step": 1100
},
{
"epoch": 1.9578279737398465,
"eval_physics_entropy": 0.6961899037361146,
"eval_physics_loss": 0.8565983176231384,
"eval_physics_mean_token_accuracy": 0.7995611958503723,
"eval_physics_num_tokens": 29446445.0,
"eval_physics_runtime": 59.795,
"eval_physics_samples_per_second": 8.362,
"eval_physics_steps_per_second": 2.09,
"step": 1100
},
{
"entropy": 0.6516633328050375,
"epoch": 1.9756314676755313,
"grad_norm": 1.21875,
"learning_rate": 1.400740740740741e-05,
"loss": 0.7439,
"mean_token_accuracy": 0.8187774941325188,
"num_tokens": 29711771.0,
"step": 1110
},
{
"entropy": 0.6508602360263467,
"epoch": 1.9934349616112161,
"grad_norm": 1.3125,
"learning_rate": 1.3933333333333334e-05,
"loss": 0.7519,
"mean_token_accuracy": 0.8169589649885893,
"num_tokens": 29979994.0,
"step": 1120
},
{
"entropy": 0.6306788632946629,
"epoch": 2.010682096361411,
"grad_norm": 1.2734375,
"learning_rate": 1.385925925925926e-05,
"loss": 0.7224,
"mean_token_accuracy": 0.8239769354943306,
"num_tokens": 30240793.0,
"step": 1130
},
{
"entropy": 0.5911945894360542,
"epoch": 2.028485590297096,
"grad_norm": 1.296875,
"learning_rate": 1.3785185185185186e-05,
"loss": 0.7,
"mean_token_accuracy": 0.8281658995896578,
"num_tokens": 30503988.0,
"step": 1140
},
{
"entropy": 0.6057484762743115,
"epoch": 2.0462890842327806,
"grad_norm": 1.2890625,
"learning_rate": 1.3711111111111112e-05,
"loss": 0.7031,
"mean_token_accuracy": 0.8266915556043386,
"num_tokens": 30771841.0,
"step": 1150
},
{
"entropy": 0.596652439981699,
"epoch": 2.0640925781684656,
"grad_norm": 1.375,
"learning_rate": 1.3637037037037037e-05,
"loss": 0.6926,
"mean_token_accuracy": 0.8293926887214184,
"num_tokens": 31045037.0,
"step": 1160
},
{
"entropy": 0.6352694857865572,
"epoch": 2.0818960721041506,
"grad_norm": 1.4296875,
"learning_rate": 1.3562962962962965e-05,
"loss": 0.7356,
"mean_token_accuracy": 0.8186026088893413,
"num_tokens": 31299575.0,
"step": 1170
},
{
"entropy": 0.6292696729302406,
"epoch": 2.099699566039835,
"grad_norm": 1.390625,
"learning_rate": 1.3488888888888888e-05,
"loss": 0.7273,
"mean_token_accuracy": 0.8201477468013764,
"num_tokens": 31565963.0,
"step": 1180
},
{
"entropy": 0.5940109083428979,
"epoch": 2.1175030599755202,
"grad_norm": 1.2734375,
"learning_rate": 1.3414814814814817e-05,
"loss": 0.7035,
"mean_token_accuracy": 0.8278756473213434,
"num_tokens": 31834212.0,
"step": 1190
},
{
"entropy": 0.6235881226137281,
"epoch": 2.1353065539112053,
"grad_norm": 1.375,
"learning_rate": 1.3340740740740741e-05,
"loss": 0.7172,
"mean_token_accuracy": 0.8223393179476262,
"num_tokens": 32103356.0,
"step": 1200
},
{
"epoch": 2.1353065539112053,
"eval_biology_entropy": 1.4677531628608704,
"eval_biology_loss": 2.083951234817505,
"eval_biology_mean_token_accuracy": 0.6125459330081939,
"eval_biology_num_tokens": 32103356.0,
"eval_biology_runtime": 41.2722,
"eval_biology_samples_per_second": 12.115,
"eval_biology_steps_per_second": 3.029,
"step": 1200
},
{
"epoch": 2.1353065539112053,
"eval_chemistry_entropy": 0.6140689237117767,
"eval_chemistry_loss": 0.8232262134552002,
"eval_chemistry_mean_token_accuracy": 0.8088321657180786,
"eval_chemistry_num_tokens": 32103356.0,
"eval_chemistry_runtime": 50.8871,
"eval_chemistry_samples_per_second": 9.826,
"eval_chemistry_steps_per_second": 2.456,
"step": 1200
},
{
"epoch": 2.1353065539112053,
"eval_math_entropy": 0.6312986519336701,
"eval_math_loss": 1.0854209661483765,
"eval_math_mean_token_accuracy": 0.7729385108947754,
"eval_math_num_tokens": 32103356.0,
"eval_math_runtime": 52.4669,
"eval_math_samples_per_second": 9.53,
"eval_math_steps_per_second": 2.382,
"step": 1200
},
{
"epoch": 2.1353065539112053,
"eval_physics_entropy": 0.6365497968196869,
"eval_physics_loss": 0.8704355359077454,
"eval_physics_mean_token_accuracy": 0.7990298428535462,
"eval_physics_num_tokens": 32103356.0,
"eval_physics_runtime": 59.7275,
"eval_physics_samples_per_second": 8.371,
"eval_physics_steps_per_second": 2.093,
"step": 1200
},
{
"entropy": 0.6137512635439635,
"epoch": 2.15311004784689,
"grad_norm": 1.25,
"learning_rate": 1.3266666666666668e-05,
"loss": 0.7043,
"mean_token_accuracy": 0.8242961999028922,
"num_tokens": 32374830.0,
"step": 1210
},
{
"entropy": 0.5896952305920422,
"epoch": 2.170913541782575,
"grad_norm": 1.2734375,
"learning_rate": 1.3192592592592594e-05,
"loss": 0.6922,
"mean_token_accuracy": 0.8302250444889069,
"num_tokens": 32643479.0,
"step": 1220
},
{
"entropy": 0.5944842832162976,
"epoch": 2.18871703571826,
"grad_norm": 1.296875,
"learning_rate": 1.311851851851852e-05,
"loss": 0.6959,
"mean_token_accuracy": 0.8287800919264555,
"num_tokens": 32908761.0,
"step": 1230
},
{
"entropy": 0.6240290224552154,
"epoch": 2.2065205296539445,
"grad_norm": 1.21875,
"learning_rate": 1.3044444444444446e-05,
"loss": 0.7238,
"mean_token_accuracy": 0.8242842797189951,
"num_tokens": 33166413.0,
"step": 1240
},
{
"entropy": 0.6112470507621766,
"epoch": 2.2243240235896296,
"grad_norm": 1.1875,
"learning_rate": 1.297037037037037e-05,
"loss": 0.7149,
"mean_token_accuracy": 0.8240214943885803,
"num_tokens": 33432686.0,
"step": 1250
},
{
"entropy": 0.6079921290278435,
"epoch": 2.242127517525314,
"grad_norm": 1.4296875,
"learning_rate": 1.2896296296296299e-05,
"loss": 0.7131,
"mean_token_accuracy": 0.8254695866256953,
"num_tokens": 33693242.0,
"step": 1260
},
{
"entropy": 0.5799209821969271,
"epoch": 2.259931011460999,
"grad_norm": 1.390625,
"learning_rate": 1.2822222222222222e-05,
"loss": 0.6722,
"mean_token_accuracy": 0.834067041426897,
"num_tokens": 33970820.0,
"step": 1270
},
{
"entropy": 0.594209510087967,
"epoch": 2.277734505396684,
"grad_norm": 1.3671875,
"learning_rate": 1.274814814814815e-05,
"loss": 0.6977,
"mean_token_accuracy": 0.8276573233306408,
"num_tokens": 34243042.0,
"step": 1280
},
{
"entropy": 0.6097929472103715,
"epoch": 2.295537999332369,
"grad_norm": 1.296875,
"learning_rate": 1.2674074074074075e-05,
"loss": 0.705,
"mean_token_accuracy": 0.8267240136861801,
"num_tokens": 34515236.0,
"step": 1290
},
{
"entropy": 0.5745832217857242,
"epoch": 2.313341493268054,
"grad_norm": 1.234375,
"learning_rate": 1.2600000000000001e-05,
"loss": 0.6783,
"mean_token_accuracy": 0.8345583423972129,
"num_tokens": 34785068.0,
"step": 1300
},
{
"epoch": 2.313341493268054,
"eval_biology_entropy": 1.497672739982605,
"eval_biology_loss": 2.0853865146636963,
"eval_biology_mean_token_accuracy": 0.613484436750412,
"eval_biology_num_tokens": 34785068.0,
"eval_biology_runtime": 43.469,
"eval_biology_samples_per_second": 11.502,
"eval_biology_steps_per_second": 2.876,
"step": 1300
},
{
"epoch": 2.313341493268054,
"eval_chemistry_entropy": 0.6273940706253052,
"eval_chemistry_loss": 0.8201014995574951,
"eval_chemistry_mean_token_accuracy": 0.8088535733222961,
"eval_chemistry_num_tokens": 34785068.0,
"eval_chemistry_runtime": 52.831,
"eval_chemistry_samples_per_second": 9.464,
"eval_chemistry_steps_per_second": 2.366,
"step": 1300
},
{
"epoch": 2.313341493268054,
"eval_math_entropy": 0.646281590461731,
"eval_math_loss": 1.0807055234909058,
"eval_math_mean_token_accuracy": 0.772442822933197,
"eval_math_num_tokens": 34785068.0,
"eval_math_runtime": 55.4339,
"eval_math_samples_per_second": 9.02,
"eval_math_steps_per_second": 2.255,
"step": 1300
},
{
"epoch": 2.313341493268054,
"eval_physics_entropy": 0.6572135488986969,
"eval_physics_loss": 0.8676888346672058,
"eval_physics_mean_token_accuracy": 0.7990684523582459,
"eval_physics_num_tokens": 34785068.0,
"eval_physics_runtime": 61.4064,
"eval_physics_samples_per_second": 8.142,
"eval_physics_steps_per_second": 2.036,
"step": 1300
},
{
"entropy": 0.6191223243251442,
"epoch": 2.331144987203739,
"grad_norm": 1.2265625,
"learning_rate": 1.2525925925925928e-05,
"loss": 0.7122,
"mean_token_accuracy": 0.8234442934393883,
"num_tokens": 35055845.0,
"step": 1310
},
{
"entropy": 0.6000411529093981,
"epoch": 2.3489484811394234,
"grad_norm": 1.296875,
"learning_rate": 1.2451851851851853e-05,
"loss": 0.7023,
"mean_token_accuracy": 0.8272519435733556,
"num_tokens": 35327481.0,
"step": 1320
},
{
"entropy": 0.6216201702132821,
"epoch": 2.3667519750751085,
"grad_norm": 1.2578125,
"learning_rate": 1.237777777777778e-05,
"loss": 0.7178,
"mean_token_accuracy": 0.8234907556325197,
"num_tokens": 35596362.0,
"step": 1330
},
{
"entropy": 0.5952032478526235,
"epoch": 2.3845554690107935,
"grad_norm": 1.3671875,
"learning_rate": 1.2303703703703704e-05,
"loss": 0.695,
"mean_token_accuracy": 0.827592471987009,
"num_tokens": 35869585.0,
"step": 1340
},
{
"entropy": 0.6152689423412084,
"epoch": 2.402358962946478,
"grad_norm": 1.4140625,
"learning_rate": 1.222962962962963e-05,
"loss": 0.7087,
"mean_token_accuracy": 0.8254514247179031,
"num_tokens": 36134072.0,
"step": 1350
},
{
"entropy": 0.5919087225571275,
"epoch": 2.420162456882163,
"grad_norm": 1.25,
"learning_rate": 1.2155555555555555e-05,
"loss": 0.6971,
"mean_token_accuracy": 0.829882950335741,
"num_tokens": 36406263.0,
"step": 1360
},
{
"entropy": 0.6080563787370921,
"epoch": 2.437965950817848,
"grad_norm": 1.3984375,
"learning_rate": 1.2081481481481484e-05,
"loss": 0.7027,
"mean_token_accuracy": 0.8268357224762439,
"num_tokens": 36676822.0,
"step": 1370
},
{
"entropy": 0.6048327511176467,
"epoch": 2.4557694447535328,
"grad_norm": 1.421875,
"learning_rate": 1.2007407407407408e-05,
"loss": 0.7047,
"mean_token_accuracy": 0.8271109748631715,
"num_tokens": 36942837.0,
"step": 1380
},
{
"entropy": 0.5988074177876115,
"epoch": 2.473572938689218,
"grad_norm": 1.390625,
"learning_rate": 1.1933333333333335e-05,
"loss": 0.7051,
"mean_token_accuracy": 0.8256583914160729,
"num_tokens": 37210791.0,
"step": 1390
},
{
"entropy": 0.5873929725959897,
"epoch": 2.491376432624903,
"grad_norm": 1.3671875,
"learning_rate": 1.185925925925926e-05,
"loss": 0.6871,
"mean_token_accuracy": 0.83187070004642,
"num_tokens": 37485822.0,
"step": 1400
},
{
"epoch": 2.491376432624903,
"eval_biology_entropy": 1.4652894883155823,
"eval_biology_loss": 2.099928855895996,
"eval_biology_mean_token_accuracy": 0.6130364212989807,
"eval_biology_num_tokens": 37485822.0,
"eval_biology_runtime": 43.3395,
"eval_biology_samples_per_second": 11.537,
"eval_biology_steps_per_second": 2.884,
"step": 1400
},
{
"epoch": 2.491376432624903,
"eval_chemistry_entropy": 0.6137497539520264,
"eval_chemistry_loss": 0.8189122080802917,
"eval_chemistry_mean_token_accuracy": 0.8097302551269532,
"eval_chemistry_num_tokens": 37485822.0,
"eval_chemistry_runtime": 52.903,
"eval_chemistry_samples_per_second": 9.451,
"eval_chemistry_steps_per_second": 2.363,
"step": 1400
},
{
"epoch": 2.491376432624903,
"eval_math_entropy": 0.6390214171409607,
"eval_math_loss": 1.082951545715332,
"eval_math_mean_token_accuracy": 0.772076274394989,
"eval_math_num_tokens": 37485822.0,
"eval_math_runtime": 54.1184,
"eval_math_samples_per_second": 9.239,
"eval_math_steps_per_second": 2.31,
"step": 1400
},
{
"epoch": 2.491376432624903,
"eval_physics_entropy": 0.6406208200454712,
"eval_physics_loss": 0.8697341084480286,
"eval_physics_mean_token_accuracy": 0.7989166221618652,
"eval_physics_num_tokens": 37485822.0,
"eval_physics_runtime": 61.5427,
"eval_physics_samples_per_second": 8.124,
"eval_physics_steps_per_second": 2.031,
"step": 1400
},
{
"entropy": 0.6010861510410905,
"epoch": 2.5091799265605874,
"grad_norm": 1.28125,
"learning_rate": 1.1785185185185186e-05,
"loss": 0.7014,
"mean_token_accuracy": 0.8287522595375776,
"num_tokens": 37746150.0,
"step": 1410
},
{
"entropy": 0.5981267247349024,
"epoch": 2.5269834204962724,
"grad_norm": 1.3046875,
"learning_rate": 1.1711111111111113e-05,
"loss": 0.6962,
"mean_token_accuracy": 0.8269948281347752,
"num_tokens": 38016863.0,
"step": 1420
},
{
"entropy": 0.6277626631781459,
"epoch": 2.544786914431957,
"grad_norm": 1.5078125,
"learning_rate": 1.1637037037037037e-05,
"loss": 0.7222,
"mean_token_accuracy": 0.8205803319811821,
"num_tokens": 38277754.0,
"step": 1430
},
{
"entropy": 0.6118797251954675,
"epoch": 2.562590408367642,
"grad_norm": 1.421875,
"learning_rate": 1.1562962962962964e-05,
"loss": 0.7172,
"mean_token_accuracy": 0.8237183388322592,
"num_tokens": 38542761.0,
"step": 1440
},
{
"entropy": 0.6034180456772447,
"epoch": 2.580393902303327,
"grad_norm": 1.453125,
"learning_rate": 1.1488888888888889e-05,
"loss": 0.6941,
"mean_token_accuracy": 0.8272098813205957,
"num_tokens": 38820999.0,
"step": 1450
},
{
"entropy": 0.5998265566304326,
"epoch": 2.598197396239012,
"grad_norm": 1.3203125,
"learning_rate": 1.1414814814814817e-05,
"loss": 0.7114,
"mean_token_accuracy": 0.8267886329442262,
"num_tokens": 39080016.0,
"step": 1460
},
{
"entropy": 0.6005334880203008,
"epoch": 2.6160008901746967,
"grad_norm": 1.3828125,
"learning_rate": 1.1340740740740742e-05,
"loss": 0.6949,
"mean_token_accuracy": 0.8299154710024595,
"num_tokens": 39345434.0,
"step": 1470
},
{
"entropy": 0.6003408120945096,
"epoch": 2.6338043841103818,
"grad_norm": 1.46875,
"learning_rate": 1.1266666666666668e-05,
"loss": 0.7033,
"mean_token_accuracy": 0.8266183461993932,
"num_tokens": 39610041.0,
"step": 1480
},
{
"entropy": 0.5847593653947115,
"epoch": 2.6516078780460663,
"grad_norm": 1.4140625,
"learning_rate": 1.1192592592592593e-05,
"loss": 0.6785,
"mean_token_accuracy": 0.8323042623698711,
"num_tokens": 39884185.0,
"step": 1490
},
{
"entropy": 0.6105206938460469,
"epoch": 2.6694113719817514,
"grad_norm": 1.5546875,
"learning_rate": 1.111851851851852e-05,
"loss": 0.7201,
"mean_token_accuracy": 0.8220306947827339,
"num_tokens": 40143543.0,
"step": 1500
},
{
"epoch": 2.6694113719817514,
"eval_biology_entropy": 1.490638756752014,
"eval_biology_loss": 2.0750932693481445,
"eval_biology_mean_token_accuracy": 0.6143683531284332,
"eval_biology_num_tokens": 40143543.0,
"eval_biology_runtime": 43.2253,
"eval_biology_samples_per_second": 11.567,
"eval_biology_steps_per_second": 2.892,
"step": 1500
},
{
"epoch": 2.6694113719817514,
"eval_chemistry_entropy": 0.623803097486496,
"eval_chemistry_loss": 0.8160935044288635,
"eval_chemistry_mean_token_accuracy": 0.8098534879684448,
"eval_chemistry_num_tokens": 40143543.0,
"eval_chemistry_runtime": 50.807,
"eval_chemistry_samples_per_second": 9.841,
"eval_chemistry_steps_per_second": 2.46,
"step": 1500
},
{
"epoch": 2.6694113719817514,
"eval_math_entropy": 0.645468202829361,
"eval_math_loss": 1.0840471982955933,
"eval_math_mean_token_accuracy": 0.7726303563117981,
"eval_math_num_tokens": 40143543.0,
"eval_math_runtime": 53.0054,
"eval_math_samples_per_second": 9.433,
"eval_math_steps_per_second": 2.358,
"step": 1500
},
{
"epoch": 2.6694113719817514,
"eval_physics_entropy": 0.6492172837257385,
"eval_physics_loss": 0.8670127391815186,
"eval_physics_mean_token_accuracy": 0.7991857075691223,
"eval_physics_num_tokens": 40143543.0,
"eval_physics_runtime": 63.9696,
"eval_physics_samples_per_second": 7.816,
"eval_physics_steps_per_second": 1.954,
"step": 1500
}
],
"logging_steps": 10,
"max_steps": 3000,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"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": 3.1188139735625564e+18,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}