j5ej2dpo / checkpoint-2000 /trainer_state.json
roonbug's picture
Upload folder using huggingface_hub
a00d4b3 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.890224225226729,
"eval_steps": 100,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 0.548704273160547,
"epoch": 0.004451121126133645,
"grad_norm": 1192.0,
"learning_rate": 1.8e-07,
"loss": 47.4036,
"mean_token_accuracy": 0.641148860566318,
"num_tokens": 63133.0,
"step": 10
},
{
"entropy": 0.534384406823665,
"epoch": 0.00890224225226729,
"grad_norm": 1328.0,
"learning_rate": 3.8e-07,
"loss": 50.4685,
"mean_token_accuracy": 0.6258877433836461,
"num_tokens": 128968.0,
"step": 20
},
{
"entropy": 0.537126874178648,
"epoch": 0.013353363378400934,
"grad_norm": 1320.0,
"learning_rate": 5.800000000000001e-07,
"loss": 49.4492,
"mean_token_accuracy": 0.6289473636075854,
"num_tokens": 193314.0,
"step": 30
},
{
"entropy": 0.5729353995062411,
"epoch": 0.01780448450453458,
"grad_norm": 1012.0,
"learning_rate": 7.8e-07,
"loss": 49.5744,
"mean_token_accuracy": 0.6247817112132907,
"num_tokens": 257189.0,
"step": 40
},
{
"entropy": 0.5564130786806345,
"epoch": 0.022255605630668224,
"grad_norm": 1096.0,
"learning_rate": 9.800000000000001e-07,
"loss": 44.4523,
"mean_token_accuracy": 0.6425775093957782,
"num_tokens": 324224.0,
"step": 50
},
{
"entropy": 0.590752430446446,
"epoch": 0.026706726756801868,
"grad_norm": 816.0,
"learning_rate": 1.1800000000000001e-06,
"loss": 43.7528,
"mean_token_accuracy": 0.6364219607785344,
"num_tokens": 394654.0,
"step": 60
},
{
"entropy": 0.6452584797516465,
"epoch": 0.031157847882935515,
"grad_norm": 600.0,
"learning_rate": 1.3800000000000001e-06,
"loss": 39.6529,
"mean_token_accuracy": 0.6429168622940779,
"num_tokens": 461658.0,
"step": 70
},
{
"entropy": 0.7016998372972012,
"epoch": 0.03560896900906916,
"grad_norm": 450.0,
"learning_rate": 1.5800000000000001e-06,
"loss": 35.508,
"mean_token_accuracy": 0.6540533849969506,
"num_tokens": 528285.0,
"step": 80
},
{
"entropy": 0.8241214359179139,
"epoch": 0.04006009013520281,
"grad_norm": 320.0,
"learning_rate": 1.7800000000000001e-06,
"loss": 34.6569,
"mean_token_accuracy": 0.6461574586108327,
"num_tokens": 595336.0,
"step": 90
},
{
"entropy": 1.0065209370106458,
"epoch": 0.04451121126133645,
"grad_norm": 208.0,
"learning_rate": 1.98e-06,
"loss": 31.2419,
"mean_token_accuracy": 0.6523716723546386,
"num_tokens": 663126.0,
"step": 100
},
{
"epoch": 0.04451121126133645,
"eval_biology_entropy": 1.5740653836727143,
"eval_biology_loss": 2.817919969558716,
"eval_biology_mean_token_accuracy": 0.5265991420149804,
"eval_biology_num_tokens": 663126.0,
"eval_biology_runtime": 49.0691,
"eval_biology_samples_per_second": 10.19,
"eval_biology_steps_per_second": 10.19,
"step": 100
},
{
"epoch": 0.04451121126133645,
"eval_chemistry_entropy": 1.1085504465103149,
"eval_chemistry_loss": 1.8567637205123901,
"eval_chemistry_mean_token_accuracy": 0.6607221029996871,
"eval_chemistry_num_tokens": 663126.0,
"eval_chemistry_runtime": 56.0546,
"eval_chemistry_samples_per_second": 8.92,
"eval_chemistry_steps_per_second": 8.92,
"step": 100
},
{
"epoch": 0.04451121126133645,
"eval_math_entropy": 0.7685319324731826,
"eval_math_loss": 1.6490864753723145,
"eval_math_mean_token_accuracy": 0.701621960401535,
"eval_math_num_tokens": 663126.0,
"eval_math_runtime": 57.7457,
"eval_math_samples_per_second": 8.659,
"eval_math_steps_per_second": 8.659,
"step": 100
},
{
"epoch": 0.04451121126133645,
"eval_physics_entropy": 0.9800559472441673,
"eval_physics_loss": 1.658416986465454,
"eval_physics_mean_token_accuracy": 0.6876975857019424,
"eval_physics_num_tokens": 663126.0,
"eval_physics_runtime": 64.5823,
"eval_physics_samples_per_second": 7.742,
"eval_physics_steps_per_second": 7.742,
"step": 100
},
{
"entropy": 1.2310039116069675,
"epoch": 0.048962332387470095,
"grad_norm": 129.0,
"learning_rate": 2.1800000000000003e-06,
"loss": 28.6754,
"mean_token_accuracy": 0.6632729232311249,
"num_tokens": 731060.0,
"step": 110
},
{
"entropy": 1.4431365672498941,
"epoch": 0.053413453513603736,
"grad_norm": 86.0,
"learning_rate": 2.38e-06,
"loss": 26.3421,
"mean_token_accuracy": 0.6755226453766227,
"num_tokens": 801635.0,
"step": 120
},
{
"entropy": 1.4806174896657467,
"epoch": 0.05786457463973738,
"grad_norm": 72.0,
"learning_rate": 2.5800000000000003e-06,
"loss": 25.6649,
"mean_token_accuracy": 0.6807831462472678,
"num_tokens": 867260.0,
"step": 130
},
{
"entropy": 1.511351894028485,
"epoch": 0.06231569576587103,
"grad_norm": 95.5,
"learning_rate": 2.7800000000000005e-06,
"loss": 25.1648,
"mean_token_accuracy": 0.6787236794829369,
"num_tokens": 931344.0,
"step": 140
},
{
"entropy": 1.4235187267884613,
"epoch": 0.06676681689200467,
"grad_norm": 57.25,
"learning_rate": 2.9800000000000003e-06,
"loss": 23.0409,
"mean_token_accuracy": 0.6943066673353314,
"num_tokens": 993586.0,
"step": 150
},
{
"entropy": 1.36321877297014,
"epoch": 0.07121793801813832,
"grad_norm": 52.75,
"learning_rate": 3.1800000000000005e-06,
"loss": 22.2695,
"mean_token_accuracy": 0.6991008354350925,
"num_tokens": 1060812.0,
"step": 160
},
{
"entropy": 1.2639451341703534,
"epoch": 0.07566905914427197,
"grad_norm": 55.0,
"learning_rate": 3.3800000000000007e-06,
"loss": 20.5103,
"mean_token_accuracy": 0.7160237554460764,
"num_tokens": 1131832.0,
"step": 170
},
{
"entropy": 1.3122306695207953,
"epoch": 0.08012018027040561,
"grad_norm": 43.25,
"learning_rate": 3.58e-06,
"loss": 20.6467,
"mean_token_accuracy": 0.7132720120251179,
"num_tokens": 1200650.0,
"step": 180
},
{
"entropy": 1.321925420127809,
"epoch": 0.08457130139653925,
"grad_norm": 52.25,
"learning_rate": 3.7800000000000002e-06,
"loss": 20.6542,
"mean_token_accuracy": 0.7144606521353125,
"num_tokens": 1265107.0,
"step": 190
},
{
"entropy": 1.304779276624322,
"epoch": 0.0890224225226729,
"grad_norm": 51.75,
"learning_rate": 3.980000000000001e-06,
"loss": 19.8821,
"mean_token_accuracy": 0.7192140439525246,
"num_tokens": 1327380.0,
"step": 200
},
{
"epoch": 0.0890224225226729,
"eval_biology_entropy": 1.7584778207540512,
"eval_biology_loss": 2.0029563903808594,
"eval_biology_mean_token_accuracy": 0.5894142254590988,
"eval_biology_num_tokens": 1327380.0,
"eval_biology_runtime": 48.4623,
"eval_biology_samples_per_second": 10.317,
"eval_biology_steps_per_second": 10.317,
"step": 200
},
{
"epoch": 0.0890224225226729,
"eval_chemistry_entropy": 1.2313024162650108,
"eval_chemistry_loss": 1.23660409450531,
"eval_chemistry_mean_token_accuracy": 0.7191956076025963,
"eval_chemistry_num_tokens": 1327380.0,
"eval_chemistry_runtime": 56.1215,
"eval_chemistry_samples_per_second": 8.909,
"eval_chemistry_steps_per_second": 8.909,
"step": 200
},
{
"epoch": 0.0890224225226729,
"eval_math_entropy": 0.9544051561951638,
"eval_math_loss": 1.1321452856063843,
"eval_math_mean_token_accuracy": 0.745829626917839,
"eval_math_num_tokens": 1327380.0,
"eval_math_runtime": 57.6893,
"eval_math_samples_per_second": 8.667,
"eval_math_steps_per_second": 8.667,
"step": 200
},
{
"epoch": 0.0890224225226729,
"eval_physics_entropy": 1.097377147436142,
"eval_physics_loss": 1.1237763166427612,
"eval_physics_mean_token_accuracy": 0.7436373601555825,
"eval_physics_num_tokens": 1327380.0,
"eval_physics_runtime": 64.6254,
"eval_physics_samples_per_second": 7.737,
"eval_physics_steps_per_second": 7.737,
"step": 200
},
{
"entropy": 1.2635900884866715,
"epoch": 0.09347354364880654,
"grad_norm": 54.5,
"learning_rate": 4.18e-06,
"loss": 20.5549,
"mean_token_accuracy": 0.7137404002249241,
"num_tokens": 1393379.0,
"step": 210
},
{
"entropy": 1.253603531420231,
"epoch": 0.09792466477494019,
"grad_norm": 45.25,
"learning_rate": 4.38e-06,
"loss": 19.3171,
"mean_token_accuracy": 0.7269632073119283,
"num_tokens": 1460130.0,
"step": 220
},
{
"entropy": 1.205259626172483,
"epoch": 0.10237578590107384,
"grad_norm": 50.5,
"learning_rate": 4.58e-06,
"loss": 18.3853,
"mean_token_accuracy": 0.7334358854219317,
"num_tokens": 1529183.0,
"step": 230
},
{
"entropy": 1.2351684581488371,
"epoch": 0.10682690702720747,
"grad_norm": 61.5,
"learning_rate": 4.78e-06,
"loss": 19.0263,
"mean_token_accuracy": 0.723250618390739,
"num_tokens": 1597405.0,
"step": 240
},
{
"entropy": 1.2351113758981227,
"epoch": 0.11127802815334112,
"grad_norm": 43.0,
"learning_rate": 4.980000000000001e-06,
"loss": 18.9974,
"mean_token_accuracy": 0.7199854323640466,
"num_tokens": 1661767.0,
"step": 250
},
{
"entropy": 1.1816746497526764,
"epoch": 0.11572914927947477,
"grad_norm": 45.75,
"learning_rate": 5.18e-06,
"loss": 18.6797,
"mean_token_accuracy": 0.7243335520848632,
"num_tokens": 1728207.0,
"step": 260
},
{
"entropy": 1.1266852594912051,
"epoch": 0.12018027040560841,
"grad_norm": 45.75,
"learning_rate": 5.380000000000001e-06,
"loss": 17.8377,
"mean_token_accuracy": 0.732505951821804,
"num_tokens": 1796055.0,
"step": 270
},
{
"entropy": 1.1155648654326797,
"epoch": 0.12463139153174206,
"grad_norm": 49.0,
"learning_rate": 5.580000000000001e-06,
"loss": 17.5397,
"mean_token_accuracy": 0.7362749936059118,
"num_tokens": 1859684.0,
"step": 280
},
{
"entropy": 1.1514084933325648,
"epoch": 0.1290825126578757,
"grad_norm": 51.0,
"learning_rate": 5.78e-06,
"loss": 18.5451,
"mean_token_accuracy": 0.723321282491088,
"num_tokens": 1921704.0,
"step": 290
},
{
"entropy": 1.1451087817549706,
"epoch": 0.13353363378400934,
"grad_norm": 42.5,
"learning_rate": 5.98e-06,
"loss": 18.2063,
"mean_token_accuracy": 0.7288043411448598,
"num_tokens": 1985766.0,
"step": 300
},
{
"epoch": 0.13353363378400934,
"eval_biology_entropy": 1.5927132781147957,
"eval_biology_loss": 1.7975378036499023,
"eval_biology_mean_token_accuracy": 0.6119548050761223,
"eval_biology_num_tokens": 1985766.0,
"eval_biology_runtime": 48.6056,
"eval_biology_samples_per_second": 10.287,
"eval_biology_steps_per_second": 10.287,
"step": 300
},
{
"epoch": 0.13353363378400934,
"eval_chemistry_entropy": 1.0956866154670715,
"eval_chemistry_loss": 1.0781587362289429,
"eval_chemistry_mean_token_accuracy": 0.7388799833655357,
"eval_chemistry_num_tokens": 1985766.0,
"eval_chemistry_runtime": 55.9983,
"eval_chemistry_samples_per_second": 8.929,
"eval_chemistry_steps_per_second": 8.929,
"step": 300
},
{
"epoch": 0.13353363378400934,
"eval_math_entropy": 0.8625128073692322,
"eval_math_loss": 1.0247634649276733,
"eval_math_mean_token_accuracy": 0.7569631568193436,
"eval_math_num_tokens": 1985766.0,
"eval_math_runtime": 57.7379,
"eval_math_samples_per_second": 8.66,
"eval_math_steps_per_second": 8.66,
"step": 300
},
{
"epoch": 0.13353363378400934,
"eval_physics_entropy": 0.9960197100043297,
"eval_physics_loss": 0.993407666683197,
"eval_physics_mean_token_accuracy": 0.7602200539112091,
"eval_physics_num_tokens": 1985766.0,
"eval_physics_runtime": 64.6649,
"eval_physics_samples_per_second": 7.732,
"eval_physics_steps_per_second": 7.732,
"step": 300
},
{
"entropy": 1.1051979778334498,
"epoch": 0.137984754910143,
"grad_norm": 49.5,
"learning_rate": 6.18e-06,
"loss": 17.5537,
"mean_token_accuracy": 0.7314090682193637,
"num_tokens": 2049041.0,
"step": 310
},
{
"entropy": 1.0414688095450402,
"epoch": 0.14243587603627664,
"grad_norm": 37.75,
"learning_rate": 6.380000000000001e-06,
"loss": 16.669,
"mean_token_accuracy": 0.7476102706044913,
"num_tokens": 2118068.0,
"step": 320
},
{
"entropy": 1.030502800643444,
"epoch": 0.14688699716241027,
"grad_norm": 46.5,
"learning_rate": 6.5800000000000005e-06,
"loss": 16.4295,
"mean_token_accuracy": 0.7489048192277551,
"num_tokens": 2186387.0,
"step": 330
},
{
"entropy": 1.0635908702388406,
"epoch": 0.15133811828854393,
"grad_norm": 42.0,
"learning_rate": 6.780000000000001e-06,
"loss": 17.235,
"mean_token_accuracy": 0.7380516286939383,
"num_tokens": 2252650.0,
"step": 340
},
{
"entropy": 1.0262556517496706,
"epoch": 0.15578923941467757,
"grad_norm": 41.0,
"learning_rate": 6.98e-06,
"loss": 16.1234,
"mean_token_accuracy": 0.7529099363833666,
"num_tokens": 2320358.0,
"step": 350
},
{
"entropy": 0.9883157461881638,
"epoch": 0.16024036054081123,
"grad_norm": 44.25,
"learning_rate": 7.180000000000001e-06,
"loss": 16.301,
"mean_token_accuracy": 0.7517775129526854,
"num_tokens": 2388824.0,
"step": 360
},
{
"entropy": 0.9906315876170992,
"epoch": 0.16469148166694486,
"grad_norm": 39.75,
"learning_rate": 7.3800000000000005e-06,
"loss": 15.5904,
"mean_token_accuracy": 0.760966083779931,
"num_tokens": 2456144.0,
"step": 370
},
{
"entropy": 1.0959791645407677,
"epoch": 0.1691426027930785,
"grad_norm": 37.5,
"learning_rate": 7.58e-06,
"loss": 17.7416,
"mean_token_accuracy": 0.7330215321853757,
"num_tokens": 2515325.0,
"step": 380
},
{
"entropy": 1.0152791179716587,
"epoch": 0.17359372391921216,
"grad_norm": 38.25,
"learning_rate": 7.78e-06,
"loss": 16.1438,
"mean_token_accuracy": 0.7489995956420898,
"num_tokens": 2580490.0,
"step": 390
},
{
"entropy": 1.015568952821195,
"epoch": 0.1780448450453458,
"grad_norm": 32.5,
"learning_rate": 7.980000000000002e-06,
"loss": 16.3986,
"mean_token_accuracy": 0.7477670447900892,
"num_tokens": 2644330.0,
"step": 400
},
{
"epoch": 0.1780448450453458,
"eval_biology_entropy": 1.4987669139504434,
"eval_biology_loss": 1.7285088300704956,
"eval_biology_mean_token_accuracy": 0.6236078375577927,
"eval_biology_num_tokens": 2644330.0,
"eval_biology_runtime": 48.385,
"eval_biology_samples_per_second": 10.334,
"eval_biology_steps_per_second": 10.334,
"step": 400
},
{
"epoch": 0.1780448450453458,
"eval_chemistry_entropy": 1.0116422069072724,
"eval_chemistry_loss": 1.0169917345046997,
"eval_chemistry_mean_token_accuracy": 0.7494727990031242,
"eval_chemistry_num_tokens": 2644330.0,
"eval_chemistry_runtime": 55.9816,
"eval_chemistry_samples_per_second": 8.932,
"eval_chemistry_steps_per_second": 8.932,
"step": 400
},
{
"epoch": 0.1780448450453458,
"eval_math_entropy": 0.830569740831852,
"eval_math_loss": 0.9943051934242249,
"eval_math_mean_token_accuracy": 0.7620642938613892,
"eval_math_num_tokens": 2644330.0,
"eval_math_runtime": 60.3723,
"eval_math_samples_per_second": 8.282,
"eval_math_steps_per_second": 8.282,
"step": 400
},
{
"epoch": 0.1780448450453458,
"eval_physics_entropy": 0.9355049659013748,
"eval_physics_loss": 0.94325852394104,
"eval_physics_mean_token_accuracy": 0.7684184198379517,
"eval_physics_num_tokens": 2644330.0,
"eval_physics_runtime": 65.391,
"eval_physics_samples_per_second": 7.646,
"eval_physics_steps_per_second": 7.646,
"step": 400
},
{
"entropy": 0.9359495824202895,
"epoch": 0.18249596617147945,
"grad_norm": 37.5,
"learning_rate": 8.18e-06,
"loss": 15.074,
"mean_token_accuracy": 0.7657283775508403,
"num_tokens": 2713234.0,
"step": 410
},
{
"entropy": 1.0310791170224547,
"epoch": 0.18694708729761308,
"grad_norm": 36.75,
"learning_rate": 8.380000000000001e-06,
"loss": 16.5812,
"mean_token_accuracy": 0.7489650597795844,
"num_tokens": 2783261.0,
"step": 420
},
{
"entropy": 1.0061013143509627,
"epoch": 0.19139820842374672,
"grad_norm": 34.25,
"learning_rate": 8.580000000000001e-06,
"loss": 16.2064,
"mean_token_accuracy": 0.7534871533513069,
"num_tokens": 2850170.0,
"step": 430
},
{
"entropy": 0.9983460938557982,
"epoch": 0.19584932954988038,
"grad_norm": 36.5,
"learning_rate": 8.78e-06,
"loss": 15.9251,
"mean_token_accuracy": 0.7519530924037099,
"num_tokens": 2913700.0,
"step": 440
},
{
"entropy": 0.9914884481579065,
"epoch": 0.200300450676014,
"grad_norm": 43.25,
"learning_rate": 8.98e-06,
"loss": 16.0176,
"mean_token_accuracy": 0.7508705228567123,
"num_tokens": 2981212.0,
"step": 450
},
{
"entropy": 0.9640501407906413,
"epoch": 0.20475157180214767,
"grad_norm": 43.75,
"learning_rate": 9.180000000000002e-06,
"loss": 15.5197,
"mean_token_accuracy": 0.7612664353102445,
"num_tokens": 3048973.0,
"step": 460
},
{
"entropy": 0.9837653011083602,
"epoch": 0.2092026929282813,
"grad_norm": 32.75,
"learning_rate": 9.38e-06,
"loss": 16.0462,
"mean_token_accuracy": 0.7515783123672009,
"num_tokens": 3117033.0,
"step": 470
},
{
"entropy": 0.9881603302434087,
"epoch": 0.21365381405441494,
"grad_norm": 35.5,
"learning_rate": 9.58e-06,
"loss": 15.6722,
"mean_token_accuracy": 0.7575565822422504,
"num_tokens": 3185255.0,
"step": 480
},
{
"entropy": 0.960085684619844,
"epoch": 0.2181049351805486,
"grad_norm": 43.5,
"learning_rate": 9.780000000000001e-06,
"loss": 15.732,
"mean_token_accuracy": 0.7576891854405403,
"num_tokens": 3253121.0,
"step": 490
},
{
"entropy": 0.9170863745734096,
"epoch": 0.22255605630668224,
"grad_norm": 39.5,
"learning_rate": 9.980000000000001e-06,
"loss": 14.4657,
"mean_token_accuracy": 0.7695914417505264,
"num_tokens": 3322823.0,
"step": 500
},
{
"epoch": 0.22255605630668224,
"eval_biology_entropy": 1.4002713676095009,
"eval_biology_loss": 1.6903640031814575,
"eval_biology_mean_token_accuracy": 0.6292068202495575,
"eval_biology_num_tokens": 3322823.0,
"eval_biology_runtime": 48.4234,
"eval_biology_samples_per_second": 10.326,
"eval_biology_steps_per_second": 10.326,
"step": 500
},
{
"epoch": 0.22255605630668224,
"eval_chemistry_entropy": 0.9267486627101899,
"eval_chemistry_loss": 0.9770777821540833,
"eval_chemistry_mean_token_accuracy": 0.7565804206728935,
"eval_chemistry_num_tokens": 3322823.0,
"eval_chemistry_runtime": 56.3359,
"eval_chemistry_samples_per_second": 8.875,
"eval_chemistry_steps_per_second": 8.875,
"step": 500
},
{
"epoch": 0.22255605630668224,
"eval_math_entropy": 0.7625217022895813,
"eval_math_loss": 0.9808707237243652,
"eval_math_mean_token_accuracy": 0.7647298012971878,
"eval_math_num_tokens": 3322823.0,
"eval_math_runtime": 57.8095,
"eval_math_samples_per_second": 8.649,
"eval_math_steps_per_second": 8.649,
"step": 500
},
{
"epoch": 0.22255605630668224,
"eval_physics_entropy": 0.8588201667070389,
"eval_physics_loss": 0.910319983959198,
"eval_physics_mean_token_accuracy": 0.7743916043043136,
"eval_physics_num_tokens": 3322823.0,
"eval_physics_runtime": 64.6422,
"eval_physics_samples_per_second": 7.735,
"eval_physics_steps_per_second": 7.735,
"step": 500
},
{
"entropy": 0.9297409053891897,
"epoch": 0.2270071774328159,
"grad_norm": 34.0,
"learning_rate": 1.018e-05,
"loss": 15.1678,
"mean_token_accuracy": 0.7620427209883929,
"num_tokens": 3393393.0,
"step": 510
},
{
"entropy": 1.017524036206305,
"epoch": 0.23145829855894953,
"grad_norm": 41.75,
"learning_rate": 1.038e-05,
"loss": 16.5918,
"mean_token_accuracy": 0.7439933486282826,
"num_tokens": 3454750.0,
"step": 520
},
{
"entropy": 0.9231159623712302,
"epoch": 0.2359094196850832,
"grad_norm": 43.5,
"learning_rate": 1.0580000000000002e-05,
"loss": 14.7926,
"mean_token_accuracy": 0.7705453760921955,
"num_tokens": 3526914.0,
"step": 530
},
{
"entropy": 1.0112015223130584,
"epoch": 0.24036054081121683,
"grad_norm": 42.25,
"learning_rate": 1.0780000000000002e-05,
"loss": 16.3174,
"mean_token_accuracy": 0.7517922900617122,
"num_tokens": 3589449.0,
"step": 540
},
{
"entropy": 0.9775515835732221,
"epoch": 0.24481166193735046,
"grad_norm": 37.5,
"learning_rate": 1.0980000000000002e-05,
"loss": 15.5292,
"mean_token_accuracy": 0.7556810062378645,
"num_tokens": 3655092.0,
"step": 550
},
{
"entropy": 0.9711876364424825,
"epoch": 0.24926278306348412,
"grad_norm": 42.75,
"learning_rate": 1.1180000000000001e-05,
"loss": 15.8816,
"mean_token_accuracy": 0.7561034083366394,
"num_tokens": 3719113.0,
"step": 560
},
{
"entropy": 0.9615386385470629,
"epoch": 0.25371390418961776,
"grad_norm": 33.75,
"learning_rate": 1.138e-05,
"loss": 15.6077,
"mean_token_accuracy": 0.7553648345172406,
"num_tokens": 3785282.0,
"step": 570
},
{
"entropy": 0.9940539756789804,
"epoch": 0.2581650253157514,
"grad_norm": 31.5,
"learning_rate": 1.1580000000000001e-05,
"loss": 15.7863,
"mean_token_accuracy": 0.758138832077384,
"num_tokens": 3852276.0,
"step": 580
},
{
"entropy": 0.8664842249825597,
"epoch": 0.262616146441885,
"grad_norm": 32.75,
"learning_rate": 1.178e-05,
"loss": 14.4448,
"mean_token_accuracy": 0.7707123512402176,
"num_tokens": 3925649.0,
"step": 590
},
{
"entropy": 0.9649652477353812,
"epoch": 0.2670672675680187,
"grad_norm": 39.25,
"learning_rate": 1.198e-05,
"loss": 15.1734,
"mean_token_accuracy": 0.7605622936040163,
"num_tokens": 3990505.0,
"step": 600
},
{
"epoch": 0.2670672675680187,
"eval_biology_entropy": 1.3548224151134491,
"eval_biology_loss": 1.6628271341323853,
"eval_biology_mean_token_accuracy": 0.6329956727027893,
"eval_biology_num_tokens": 3990505.0,
"eval_biology_runtime": 48.5951,
"eval_biology_samples_per_second": 10.289,
"eval_biology_steps_per_second": 10.289,
"step": 600
},
{
"epoch": 0.2670672675680187,
"eval_chemistry_entropy": 0.8806400309503079,
"eval_chemistry_loss": 0.9497475028038025,
"eval_chemistry_mean_token_accuracy": 0.7612205193042755,
"eval_chemistry_num_tokens": 3990505.0,
"eval_chemistry_runtime": 56.0415,
"eval_chemistry_samples_per_second": 8.922,
"eval_chemistry_steps_per_second": 8.922,
"step": 600
},
{
"epoch": 0.2670672675680187,
"eval_math_entropy": 0.7478249241113663,
"eval_math_loss": 0.9696071743965149,
"eval_math_mean_token_accuracy": 0.7666747701764107,
"eval_math_num_tokens": 3990505.0,
"eval_math_runtime": 57.7058,
"eval_math_samples_per_second": 8.665,
"eval_math_steps_per_second": 8.665,
"step": 600
},
{
"epoch": 0.2670672675680187,
"eval_physics_entropy": 0.8181254861354827,
"eval_physics_loss": 0.8910531997680664,
"eval_physics_mean_token_accuracy": 0.7779091320037842,
"eval_physics_num_tokens": 3990505.0,
"eval_physics_runtime": 64.595,
"eval_physics_samples_per_second": 7.741,
"eval_physics_steps_per_second": 7.741,
"step": 600
},
{
"entropy": 0.9066566737368703,
"epoch": 0.27151838869415235,
"grad_norm": 35.5,
"learning_rate": 1.218e-05,
"loss": 14.8095,
"mean_token_accuracy": 0.7637650985270739,
"num_tokens": 4060657.0,
"step": 610
},
{
"entropy": 0.8951275391504169,
"epoch": 0.275969509820286,
"grad_norm": 31.625,
"learning_rate": 1.2380000000000002e-05,
"loss": 14.3937,
"mean_token_accuracy": 0.7713713925331831,
"num_tokens": 4133119.0,
"step": 620
},
{
"entropy": 0.9309091791510582,
"epoch": 0.2804206309464196,
"grad_norm": 40.25,
"learning_rate": 1.2580000000000002e-05,
"loss": 14.9362,
"mean_token_accuracy": 0.7651385851204395,
"num_tokens": 4200051.0,
"step": 630
},
{
"entropy": 0.9745316403917968,
"epoch": 0.2848717520725533,
"grad_norm": 41.0,
"learning_rate": 1.2780000000000001e-05,
"loss": 15.86,
"mean_token_accuracy": 0.7543578896671533,
"num_tokens": 4267403.0,
"step": 640
},
{
"entropy": 0.9337521677836775,
"epoch": 0.28932287319868694,
"grad_norm": 39.0,
"learning_rate": 1.2980000000000001e-05,
"loss": 14.9738,
"mean_token_accuracy": 0.7643170915544033,
"num_tokens": 4333268.0,
"step": 650
},
{
"entropy": 0.9018357262946666,
"epoch": 0.29377399432482054,
"grad_norm": 53.5,
"learning_rate": 1.3180000000000001e-05,
"loss": 14.5097,
"mean_token_accuracy": 0.7716417364776135,
"num_tokens": 4400242.0,
"step": 660
},
{
"entropy": 0.9362477554008365,
"epoch": 0.2982251154509542,
"grad_norm": 34.5,
"learning_rate": 1.3380000000000002e-05,
"loss": 15.1358,
"mean_token_accuracy": 0.7618589885532856,
"num_tokens": 4464714.0,
"step": 670
},
{
"entropy": 0.8689518304541707,
"epoch": 0.30267623657708786,
"grad_norm": 41.25,
"learning_rate": 1.3580000000000002e-05,
"loss": 14.3018,
"mean_token_accuracy": 0.7737269978970289,
"num_tokens": 4535458.0,
"step": 680
},
{
"entropy": 0.9227319629862905,
"epoch": 0.3071273577032215,
"grad_norm": 38.25,
"learning_rate": 1.378e-05,
"loss": 14.6416,
"mean_token_accuracy": 0.7681682342663407,
"num_tokens": 4599099.0,
"step": 690
},
{
"entropy": 0.865695190615952,
"epoch": 0.31157847882935513,
"grad_norm": 28.25,
"learning_rate": 1.398e-05,
"loss": 14.0258,
"mean_token_accuracy": 0.7762727830559015,
"num_tokens": 4662903.0,
"step": 700
},
{
"epoch": 0.31157847882935513,
"eval_biology_entropy": 1.4728712896108627,
"eval_biology_loss": 1.6218550205230713,
"eval_biology_mean_token_accuracy": 0.6382006840705872,
"eval_biology_num_tokens": 4662903.0,
"eval_biology_runtime": 48.5605,
"eval_biology_samples_per_second": 10.296,
"eval_biology_steps_per_second": 10.296,
"step": 700
},
{
"epoch": 0.31157847882935513,
"eval_chemistry_entropy": 0.9336612664461136,
"eval_chemistry_loss": 0.9250124096870422,
"eval_chemistry_mean_token_accuracy": 0.7656691336631775,
"eval_chemistry_num_tokens": 4662903.0,
"eval_chemistry_runtime": 56.0811,
"eval_chemistry_samples_per_second": 8.916,
"eval_chemistry_steps_per_second": 8.916,
"step": 700
},
{
"epoch": 0.31157847882935513,
"eval_math_entropy": 0.7846916960477829,
"eval_math_loss": 0.9586912393569946,
"eval_math_mean_token_accuracy": 0.7681104638576508,
"eval_math_num_tokens": 4662903.0,
"eval_math_runtime": 57.7641,
"eval_math_samples_per_second": 8.656,
"eval_math_steps_per_second": 8.656,
"step": 700
},
{
"epoch": 0.31157847882935513,
"eval_physics_entropy": 0.8758866502046585,
"eval_physics_loss": 0.8707027435302734,
"eval_physics_mean_token_accuracy": 0.7806350255012512,
"eval_physics_num_tokens": 4662903.0,
"eval_physics_runtime": 64.5913,
"eval_physics_samples_per_second": 7.741,
"eval_physics_steps_per_second": 7.741,
"step": 700
},
{
"entropy": 0.9134258929640054,
"epoch": 0.3160295999554888,
"grad_norm": 42.0,
"learning_rate": 1.418e-05,
"loss": 15.0312,
"mean_token_accuracy": 0.7628084912896156,
"num_tokens": 4729166.0,
"step": 710
},
{
"entropy": 0.97938490267843,
"epoch": 0.32048072108162245,
"grad_norm": 41.75,
"learning_rate": 1.4380000000000001e-05,
"loss": 15.7738,
"mean_token_accuracy": 0.7518788330256939,
"num_tokens": 4796815.0,
"step": 720
},
{
"entropy": 0.8446940638124942,
"epoch": 0.32493184220775606,
"grad_norm": 34.5,
"learning_rate": 1.4580000000000001e-05,
"loss": 13.5574,
"mean_token_accuracy": 0.782823646441102,
"num_tokens": 4865172.0,
"step": 730
},
{
"entropy": 0.9024957665242255,
"epoch": 0.3293829633338897,
"grad_norm": 33.75,
"learning_rate": 1.478e-05,
"loss": 14.8961,
"mean_token_accuracy": 0.763876224681735,
"num_tokens": 4932671.0,
"step": 740
},
{
"entropy": 0.9568601671606303,
"epoch": 0.3338340844600234,
"grad_norm": 33.25,
"learning_rate": 1.498e-05,
"loss": 15.257,
"mean_token_accuracy": 0.7628579653799534,
"num_tokens": 4998710.0,
"step": 750
},
{
"entropy": 0.8733517214655876,
"epoch": 0.338285205586157,
"grad_norm": 30.75,
"learning_rate": 1.5180000000000002e-05,
"loss": 14.1521,
"mean_token_accuracy": 0.7736187670379877,
"num_tokens": 5066948.0,
"step": 760
},
{
"entropy": 0.9070882228203118,
"epoch": 0.34273632671229065,
"grad_norm": 35.25,
"learning_rate": 1.5380000000000002e-05,
"loss": 14.7033,
"mean_token_accuracy": 0.7682277161628008,
"num_tokens": 5129950.0,
"step": 770
},
{
"entropy": 0.9775535127148032,
"epoch": 0.3471874478384243,
"grad_norm": 34.5,
"learning_rate": 1.5580000000000003e-05,
"loss": 15.453,
"mean_token_accuracy": 0.754616218432784,
"num_tokens": 5193519.0,
"step": 780
},
{
"entropy": 0.8829231994226575,
"epoch": 0.351638568964558,
"grad_norm": 41.75,
"learning_rate": 1.578e-05,
"loss": 14.6374,
"mean_token_accuracy": 0.7640287645161152,
"num_tokens": 5256503.0,
"step": 790
},
{
"entropy": 0.9582383582368493,
"epoch": 0.3560896900906916,
"grad_norm": 40.25,
"learning_rate": 1.5980000000000003e-05,
"loss": 15.6331,
"mean_token_accuracy": 0.7566823102533817,
"num_tokens": 5324751.0,
"step": 800
},
{
"epoch": 0.3560896900906916,
"eval_biology_entropy": 1.554333319604397,
"eval_biology_loss": 1.5954139232635498,
"eval_biology_mean_token_accuracy": 0.6430081333518028,
"eval_biology_num_tokens": 5324751.0,
"eval_biology_runtime": 49.1621,
"eval_biology_samples_per_second": 10.17,
"eval_biology_steps_per_second": 10.17,
"step": 800
},
{
"epoch": 0.3560896900906916,
"eval_chemistry_entropy": 0.9556231063604355,
"eval_chemistry_loss": 0.907728910446167,
"eval_chemistry_mean_token_accuracy": 0.7686411096453667,
"eval_chemistry_num_tokens": 5324751.0,
"eval_chemistry_runtime": 56.1564,
"eval_chemistry_samples_per_second": 8.904,
"eval_chemistry_steps_per_second": 8.904,
"step": 800
},
{
"epoch": 0.3560896900906916,
"eval_math_entropy": 0.7810768990516662,
"eval_math_loss": 0.949228048324585,
"eval_math_mean_token_accuracy": 0.7701822088956833,
"eval_math_num_tokens": 5324751.0,
"eval_math_runtime": 57.7577,
"eval_math_samples_per_second": 8.657,
"eval_math_steps_per_second": 8.657,
"step": 800
},
{
"epoch": 0.3560896900906916,
"eval_physics_entropy": 0.895748406291008,
"eval_physics_loss": 0.8605655431747437,
"eval_physics_mean_token_accuracy": 0.7827676599621772,
"eval_physics_num_tokens": 5324751.0,
"eval_physics_runtime": 64.6674,
"eval_physics_samples_per_second": 7.732,
"eval_physics_steps_per_second": 7.732,
"step": 800
},
{
"entropy": 0.8505169737152756,
"epoch": 0.36054081121682524,
"grad_norm": 41.0,
"learning_rate": 1.618e-05,
"loss": 13.7198,
"mean_token_accuracy": 0.7793542932718992,
"num_tokens": 5391664.0,
"step": 810
},
{
"entropy": 0.8401029847562314,
"epoch": 0.3649919323429589,
"grad_norm": 33.25,
"learning_rate": 1.638e-05,
"loss": 13.3589,
"mean_token_accuracy": 0.7823891170322895,
"num_tokens": 5458519.0,
"step": 820
},
{
"entropy": 0.8939393721520901,
"epoch": 0.3694430534690925,
"grad_norm": 36.25,
"learning_rate": 1.658e-05,
"loss": 14.7591,
"mean_token_accuracy": 0.7666325703263283,
"num_tokens": 5523391.0,
"step": 830
},
{
"entropy": 0.8917801808565855,
"epoch": 0.37389417459522617,
"grad_norm": 30.375,
"learning_rate": 1.6780000000000002e-05,
"loss": 14.1075,
"mean_token_accuracy": 0.7729504836723209,
"num_tokens": 5585508.0,
"step": 840
},
{
"entropy": 0.8576251868158579,
"epoch": 0.37834529572135983,
"grad_norm": 38.25,
"learning_rate": 1.698e-05,
"loss": 14.3124,
"mean_token_accuracy": 0.774137607589364,
"num_tokens": 5650755.0,
"step": 850
},
{
"entropy": 0.8919966861605644,
"epoch": 0.38279641684749344,
"grad_norm": 33.75,
"learning_rate": 1.718e-05,
"loss": 14.1824,
"mean_token_accuracy": 0.7732574883848429,
"num_tokens": 5716321.0,
"step": 860
},
{
"entropy": 0.9272915873676538,
"epoch": 0.3872475379736271,
"grad_norm": 42.25,
"learning_rate": 1.7380000000000003e-05,
"loss": 14.8897,
"mean_token_accuracy": 0.7641183525323868,
"num_tokens": 5782698.0,
"step": 870
},
{
"entropy": 0.8425593223422766,
"epoch": 0.39169865909976076,
"grad_norm": 30.0,
"learning_rate": 1.758e-05,
"loss": 13.8179,
"mean_token_accuracy": 0.7790724016726017,
"num_tokens": 5848889.0,
"step": 880
},
{
"entropy": 0.8974415950477124,
"epoch": 0.3961497802258944,
"grad_norm": 34.25,
"learning_rate": 1.7780000000000003e-05,
"loss": 14.5537,
"mean_token_accuracy": 0.7696893479675054,
"num_tokens": 5912919.0,
"step": 890
},
{
"entropy": 0.868491224758327,
"epoch": 0.400600901352028,
"grad_norm": 29.5,
"learning_rate": 1.798e-05,
"loss": 14.1228,
"mean_token_accuracy": 0.7739411123096943,
"num_tokens": 5980229.0,
"step": 900
},
{
"epoch": 0.400600901352028,
"eval_biology_entropy": 1.4719535266160966,
"eval_biology_loss": 1.5840708017349243,
"eval_biology_mean_token_accuracy": 0.6444517712593079,
"eval_biology_num_tokens": 5980229.0,
"eval_biology_runtime": 48.3845,
"eval_biology_samples_per_second": 10.334,
"eval_biology_steps_per_second": 10.334,
"step": 900
},
{
"epoch": 0.400600901352028,
"eval_chemistry_entropy": 0.9006564086675644,
"eval_chemistry_loss": 0.8931591510772705,
"eval_chemistry_mean_token_accuracy": 0.771476098716259,
"eval_chemistry_num_tokens": 5980229.0,
"eval_chemistry_runtime": 55.9522,
"eval_chemistry_samples_per_second": 8.936,
"eval_chemistry_steps_per_second": 8.936,
"step": 900
},
{
"epoch": 0.400600901352028,
"eval_math_entropy": 0.7833816863894463,
"eval_math_loss": 0.9406895637512207,
"eval_math_mean_token_accuracy": 0.7704955268502235,
"eval_math_num_tokens": 5980229.0,
"eval_math_runtime": 57.6393,
"eval_math_samples_per_second": 8.675,
"eval_math_steps_per_second": 8.675,
"step": 900
},
{
"epoch": 0.400600901352028,
"eval_physics_entropy": 0.8495812131166458,
"eval_physics_loss": 0.8490710258483887,
"eval_physics_mean_token_accuracy": 0.7849877900481224,
"eval_physics_num_tokens": 5980229.0,
"eval_physics_runtime": 64.5379,
"eval_physics_samples_per_second": 7.747,
"eval_physics_steps_per_second": 7.747,
"step": 900
},
{
"entropy": 0.8243395276367664,
"epoch": 0.4050520224781617,
"grad_norm": 30.5,
"learning_rate": 1.8180000000000002e-05,
"loss": 13.4007,
"mean_token_accuracy": 0.7826393615454436,
"num_tokens": 6048508.0,
"step": 910
},
{
"entropy": 0.8578345064073801,
"epoch": 0.40950314360429535,
"grad_norm": 32.5,
"learning_rate": 1.8380000000000004e-05,
"loss": 13.8874,
"mean_token_accuracy": 0.7774036221206189,
"num_tokens": 6114855.0,
"step": 920
},
{
"entropy": 0.8919947864487767,
"epoch": 0.41395426473042896,
"grad_norm": 33.5,
"learning_rate": 1.858e-05,
"loss": 14.3682,
"mean_token_accuracy": 0.773763508349657,
"num_tokens": 6179050.0,
"step": 930
},
{
"entropy": 0.877837923169136,
"epoch": 0.4184053858565626,
"grad_norm": 33.5,
"learning_rate": 1.878e-05,
"loss": 14.1955,
"mean_token_accuracy": 0.7732131693512201,
"num_tokens": 6244987.0,
"step": 940
},
{
"entropy": 0.8329715754836797,
"epoch": 0.4228565069826963,
"grad_norm": 41.0,
"learning_rate": 1.898e-05,
"loss": 13.5939,
"mean_token_accuracy": 0.7785252593457699,
"num_tokens": 6310799.0,
"step": 950
},
{
"entropy": 0.8469648731872439,
"epoch": 0.4273076281088299,
"grad_norm": 36.75,
"learning_rate": 1.918e-05,
"loss": 13.6875,
"mean_token_accuracy": 0.7780090972781182,
"num_tokens": 6378152.0,
"step": 960
},
{
"entropy": 0.8630953669548035,
"epoch": 0.43175874923496355,
"grad_norm": 34.0,
"learning_rate": 1.938e-05,
"loss": 13.8631,
"mean_token_accuracy": 0.7757172901183367,
"num_tokens": 6442491.0,
"step": 970
},
{
"entropy": 0.907545124553144,
"epoch": 0.4362098703610972,
"grad_norm": 28.75,
"learning_rate": 1.9580000000000002e-05,
"loss": 14.7101,
"mean_token_accuracy": 0.766944982856512,
"num_tokens": 6510231.0,
"step": 980
},
{
"entropy": 0.8721130631864071,
"epoch": 0.44066099148723087,
"grad_norm": 34.25,
"learning_rate": 1.978e-05,
"loss": 14.193,
"mean_token_accuracy": 0.7728719780221581,
"num_tokens": 6572858.0,
"step": 990
},
{
"entropy": 0.8767424447461962,
"epoch": 0.4451121126133645,
"grad_norm": 24.625,
"learning_rate": 1.9980000000000002e-05,
"loss": 14.338,
"mean_token_accuracy": 0.7690305080264807,
"num_tokens": 6637273.0,
"step": 1000
},
{
"epoch": 0.4451121126133645,
"eval_biology_entropy": 1.4690953947901726,
"eval_biology_loss": 1.5712339878082275,
"eval_biology_mean_token_accuracy": 0.6474293968081475,
"eval_biology_num_tokens": 6637273.0,
"eval_biology_runtime": 48.4474,
"eval_biology_samples_per_second": 10.32,
"eval_biology_steps_per_second": 10.32,
"step": 1000
},
{
"epoch": 0.4451121126133645,
"eval_chemistry_entropy": 0.89704896864295,
"eval_chemistry_loss": 0.8829187154769897,
"eval_chemistry_mean_token_accuracy": 0.7738431564569473,
"eval_chemistry_num_tokens": 6637273.0,
"eval_chemistry_runtime": 56.1772,
"eval_chemistry_samples_per_second": 8.9,
"eval_chemistry_steps_per_second": 8.9,
"step": 1000
},
{
"epoch": 0.4451121126133645,
"eval_math_entropy": 0.7748903884291649,
"eval_math_loss": 0.9362199902534485,
"eval_math_mean_token_accuracy": 0.7724022324085236,
"eval_math_num_tokens": 6637273.0,
"eval_math_runtime": 57.7189,
"eval_math_samples_per_second": 8.663,
"eval_math_steps_per_second": 8.663,
"step": 1000
},
{
"epoch": 0.4451121126133645,
"eval_physics_entropy": 0.8675668377280236,
"eval_physics_loss": 0.8455091118812561,
"eval_physics_mean_token_accuracy": 0.7849516254663468,
"eval_physics_num_tokens": 6637273.0,
"eval_physics_runtime": 64.6865,
"eval_physics_samples_per_second": 7.73,
"eval_physics_steps_per_second": 7.73,
"step": 1000
},
{
"entropy": 0.8708374679088593,
"epoch": 0.44956323373949814,
"grad_norm": 33.25,
"learning_rate": 1.9980000000000002e-05,
"loss": 13.9302,
"mean_token_accuracy": 0.774122205376625,
"num_tokens": 6700799.0,
"step": 1010
},
{
"entropy": 0.8613243264146149,
"epoch": 0.4540143548656318,
"grad_norm": 32.0,
"learning_rate": 1.995777777777778e-05,
"loss": 14.124,
"mean_token_accuracy": 0.776879669725895,
"num_tokens": 6765798.0,
"step": 1020
},
{
"entropy": 0.8134710913524031,
"epoch": 0.4584654759917654,
"grad_norm": 31.625,
"learning_rate": 1.9935555555555557e-05,
"loss": 13.3521,
"mean_token_accuracy": 0.7832869034260511,
"num_tokens": 6832774.0,
"step": 1030
},
{
"entropy": 0.890234874933958,
"epoch": 0.46291659711789906,
"grad_norm": 31.125,
"learning_rate": 1.9913333333333335e-05,
"loss": 14.2521,
"mean_token_accuracy": 0.7710054367780685,
"num_tokens": 6896684.0,
"step": 1040
},
{
"entropy": 0.8423492605797946,
"epoch": 0.4673677182440327,
"grad_norm": 40.75,
"learning_rate": 1.9891111111111112e-05,
"loss": 13.6826,
"mean_token_accuracy": 0.7855902209877967,
"num_tokens": 6964423.0,
"step": 1050
},
{
"entropy": 0.8360794227570295,
"epoch": 0.4718188393701664,
"grad_norm": 27.0,
"learning_rate": 1.986888888888889e-05,
"loss": 13.722,
"mean_token_accuracy": 0.7778070000931621,
"num_tokens": 7033417.0,
"step": 1060
},
{
"entropy": 0.8722811192274094,
"epoch": 0.4762699604963,
"grad_norm": 35.0,
"learning_rate": 1.9846666666666668e-05,
"loss": 14.2113,
"mean_token_accuracy": 0.7714831795543432,
"num_tokens": 7101274.0,
"step": 1070
},
{
"entropy": 0.8730784686282277,
"epoch": 0.48072108162243365,
"grad_norm": 28.5,
"learning_rate": 1.9824444444444445e-05,
"loss": 14.0558,
"mean_token_accuracy": 0.7746166784316302,
"num_tokens": 7166608.0,
"step": 1080
},
{
"entropy": 0.8250762648880482,
"epoch": 0.4851722027485673,
"grad_norm": 43.25,
"learning_rate": 1.9802222222222226e-05,
"loss": 13.4239,
"mean_token_accuracy": 0.786403126642108,
"num_tokens": 7240958.0,
"step": 1090
},
{
"entropy": 0.8573660463094711,
"epoch": 0.4896233238747009,
"grad_norm": 32.5,
"learning_rate": 1.978e-05,
"loss": 13.9198,
"mean_token_accuracy": 0.7765211522579193,
"num_tokens": 7311968.0,
"step": 1100
},
{
"epoch": 0.4896233238747009,
"eval_biology_entropy": 1.4332191476225853,
"eval_biology_loss": 1.556909203529358,
"eval_biology_mean_token_accuracy": 0.6496381472945213,
"eval_biology_num_tokens": 7311968.0,
"eval_biology_runtime": 48.4694,
"eval_biology_samples_per_second": 10.316,
"eval_biology_steps_per_second": 10.316,
"step": 1100
},
{
"epoch": 0.4896233238747009,
"eval_chemistry_entropy": 0.8447221714258194,
"eval_chemistry_loss": 0.8686630129814148,
"eval_chemistry_mean_token_accuracy": 0.7762373806834221,
"eval_chemistry_num_tokens": 7311968.0,
"eval_chemistry_runtime": 56.0722,
"eval_chemistry_samples_per_second": 8.917,
"eval_chemistry_steps_per_second": 8.917,
"step": 1100
},
{
"epoch": 0.4896233238747009,
"eval_math_entropy": 0.7254823694527149,
"eval_math_loss": 0.937345564365387,
"eval_math_mean_token_accuracy": 0.7738885276317596,
"eval_math_num_tokens": 7311968.0,
"eval_math_runtime": 57.7068,
"eval_math_samples_per_second": 8.664,
"eval_math_steps_per_second": 8.664,
"step": 1100
},
{
"epoch": 0.4896233238747009,
"eval_physics_entropy": 0.8062724179625511,
"eval_physics_loss": 0.8333404660224915,
"eval_physics_mean_token_accuracy": 0.7875058565735817,
"eval_physics_num_tokens": 7311968.0,
"eval_physics_runtime": 65.4261,
"eval_physics_samples_per_second": 7.642,
"eval_physics_steps_per_second": 7.642,
"step": 1100
},
{
"entropy": 0.8604997573420405,
"epoch": 0.4940744450008346,
"grad_norm": 30.25,
"learning_rate": 1.975777777777778e-05,
"loss": 13.7608,
"mean_token_accuracy": 0.7766703650355339,
"num_tokens": 7378961.0,
"step": 1110
},
{
"entropy": 0.8193202435038984,
"epoch": 0.49852556612696824,
"grad_norm": 35.25,
"learning_rate": 1.9735555555555556e-05,
"loss": 13.3273,
"mean_token_accuracy": 0.7826184341683984,
"num_tokens": 7444923.0,
"step": 1120
},
{
"entropy": 0.8790039600804448,
"epoch": 0.5029766872531019,
"grad_norm": 34.0,
"learning_rate": 1.9713333333333337e-05,
"loss": 13.9384,
"mean_token_accuracy": 0.7745813885703683,
"num_tokens": 7509885.0,
"step": 1130
},
{
"entropy": 0.8574295949190855,
"epoch": 0.5074278083792355,
"grad_norm": 30.625,
"learning_rate": 1.969111111111111e-05,
"loss": 14.3156,
"mean_token_accuracy": 0.7717645790427923,
"num_tokens": 7576456.0,
"step": 1140
},
{
"entropy": 0.9021984472870826,
"epoch": 0.5118789295053692,
"grad_norm": 34.75,
"learning_rate": 1.9668888888888892e-05,
"loss": 14.4928,
"mean_token_accuracy": 0.7711123242974282,
"num_tokens": 7641821.0,
"step": 1150
},
{
"entropy": 0.8312832812778652,
"epoch": 0.5163300506315028,
"grad_norm": 33.5,
"learning_rate": 1.9646666666666666e-05,
"loss": 13.539,
"mean_token_accuracy": 0.7779583852738142,
"num_tokens": 7706502.0,
"step": 1160
},
{
"entropy": 0.9160518892109394,
"epoch": 0.5207811717576365,
"grad_norm": 35.0,
"learning_rate": 1.9624444444444447e-05,
"loss": 14.7744,
"mean_token_accuracy": 0.7682293139398098,
"num_tokens": 7772353.0,
"step": 1170
},
{
"entropy": 0.8255004599690438,
"epoch": 0.52523229288377,
"grad_norm": 26.625,
"learning_rate": 1.9602222222222225e-05,
"loss": 13.6503,
"mean_token_accuracy": 0.7818126812577247,
"num_tokens": 7838516.0,
"step": 1180
},
{
"entropy": 0.8235707072541117,
"epoch": 0.5296834140099037,
"grad_norm": 42.0,
"learning_rate": 1.9580000000000002e-05,
"loss": 13.328,
"mean_token_accuracy": 0.7810577813535928,
"num_tokens": 7902568.0,
"step": 1190
},
{
"entropy": 0.867654961720109,
"epoch": 0.5341345351360374,
"grad_norm": 29.5,
"learning_rate": 1.955777777777778e-05,
"loss": 13.7748,
"mean_token_accuracy": 0.7776078153401613,
"num_tokens": 7969704.0,
"step": 1200
},
{
"epoch": 0.5341345351360374,
"eval_biology_entropy": 1.37839106965065,
"eval_biology_loss": 1.5514307022094727,
"eval_biology_mean_token_accuracy": 0.6508332921862602,
"eval_biology_num_tokens": 7969704.0,
"eval_biology_runtime": 48.5631,
"eval_biology_samples_per_second": 10.296,
"eval_biology_steps_per_second": 10.296,
"step": 1200
},
{
"epoch": 0.5341345351360374,
"eval_chemistry_entropy": 0.8148281363546849,
"eval_chemistry_loss": 0.8604164719581604,
"eval_chemistry_mean_token_accuracy": 0.7772439575791359,
"eval_chemistry_num_tokens": 7969704.0,
"eval_chemistry_runtime": 56.0492,
"eval_chemistry_samples_per_second": 8.921,
"eval_chemistry_steps_per_second": 8.921,
"step": 1200
},
{
"epoch": 0.5341345351360374,
"eval_math_entropy": 0.7066318797171116,
"eval_math_loss": 0.9362333416938782,
"eval_math_mean_token_accuracy": 0.7748976874947547,
"eval_math_num_tokens": 7969704.0,
"eval_math_runtime": 57.7113,
"eval_math_samples_per_second": 8.664,
"eval_math_steps_per_second": 8.664,
"step": 1200
},
{
"epoch": 0.5341345351360374,
"eval_physics_entropy": 0.7838141260743141,
"eval_physics_loss": 0.8287554383277893,
"eval_physics_mean_token_accuracy": 0.7891261720657349,
"eval_physics_num_tokens": 7969704.0,
"eval_physics_runtime": 64.5774,
"eval_physics_samples_per_second": 7.743,
"eval_physics_steps_per_second": 7.743,
"step": 1200
},
{
"entropy": 0.823845097143203,
"epoch": 0.538585656262171,
"grad_norm": 31.375,
"learning_rate": 1.9535555555555557e-05,
"loss": 13.3304,
"mean_token_accuracy": 0.7795415934175253,
"num_tokens": 8034765.0,
"step": 1210
},
{
"entropy": 0.8282254174351692,
"epoch": 0.5430367773883047,
"grad_norm": 26.25,
"learning_rate": 1.9513333333333335e-05,
"loss": 13.8441,
"mean_token_accuracy": 0.7799333028495312,
"num_tokens": 8103869.0,
"step": 1220
},
{
"entropy": 0.8050381439737976,
"epoch": 0.5474878985144384,
"grad_norm": 28.25,
"learning_rate": 1.9491111111111113e-05,
"loss": 12.7509,
"mean_token_accuracy": 0.7920488726347685,
"num_tokens": 8173386.0,
"step": 1230
},
{
"entropy": 0.8431567599065601,
"epoch": 0.551939019640572,
"grad_norm": 27.875,
"learning_rate": 1.946888888888889e-05,
"loss": 13.6451,
"mean_token_accuracy": 0.7757586792111397,
"num_tokens": 8242162.0,
"step": 1240
},
{
"entropy": 0.8362408608198166,
"epoch": 0.5563901407667056,
"grad_norm": 32.0,
"learning_rate": 1.9446666666666668e-05,
"loss": 13.6867,
"mean_token_accuracy": 0.7783713828772306,
"num_tokens": 8308919.0,
"step": 1250
},
{
"entropy": 0.8537883767858148,
"epoch": 0.5608412618928392,
"grad_norm": 39.5,
"learning_rate": 1.9424444444444446e-05,
"loss": 14.0357,
"mean_token_accuracy": 0.7729044172912836,
"num_tokens": 8365617.0,
"step": 1260
},
{
"entropy": 0.8582545002922416,
"epoch": 0.5652923830189729,
"grad_norm": 27.25,
"learning_rate": 1.9402222222222223e-05,
"loss": 13.7589,
"mean_token_accuracy": 0.778778350353241,
"num_tokens": 8430728.0,
"step": 1270
},
{
"entropy": 0.8236037418246269,
"epoch": 0.5697435041451065,
"grad_norm": 25.125,
"learning_rate": 1.938e-05,
"loss": 13.2388,
"mean_token_accuracy": 0.784411870315671,
"num_tokens": 8497852.0,
"step": 1280
},
{
"entropy": 0.8496616246178746,
"epoch": 0.5741946252712402,
"grad_norm": 27.625,
"learning_rate": 1.935777777777778e-05,
"loss": 13.9613,
"mean_token_accuracy": 0.7750670064240694,
"num_tokens": 8558952.0,
"step": 1290
},
{
"entropy": 0.8457373520359397,
"epoch": 0.5786457463973739,
"grad_norm": 32.75,
"learning_rate": 1.9335555555555556e-05,
"loss": 13.5433,
"mean_token_accuracy": 0.7806821152567863,
"num_tokens": 8622868.0,
"step": 1300
},
{
"epoch": 0.5786457463973739,
"eval_biology_entropy": 1.43521921479702,
"eval_biology_loss": 1.538223147392273,
"eval_biology_mean_token_accuracy": 0.6518344734311103,
"eval_biology_num_tokens": 8622868.0,
"eval_biology_runtime": 48.4265,
"eval_biology_samples_per_second": 10.325,
"eval_biology_steps_per_second": 10.325,
"step": 1300
},
{
"epoch": 0.5786457463973739,
"eval_chemistry_entropy": 0.8178334766924381,
"eval_chemistry_loss": 0.849298357963562,
"eval_chemistry_mean_token_accuracy": 0.7795388196110725,
"eval_chemistry_num_tokens": 8622868.0,
"eval_chemistry_runtime": 56.0158,
"eval_chemistry_samples_per_second": 8.926,
"eval_chemistry_steps_per_second": 8.926,
"step": 1300
},
{
"epoch": 0.5786457463973739,
"eval_math_entropy": 0.705706961274147,
"eval_math_loss": 0.9391148686408997,
"eval_math_mean_token_accuracy": 0.7748868613243103,
"eval_math_num_tokens": 8622868.0,
"eval_math_runtime": 57.6077,
"eval_math_samples_per_second": 8.679,
"eval_math_steps_per_second": 8.679,
"step": 1300
},
{
"epoch": 0.5786457463973739,
"eval_physics_entropy": 0.770459543287754,
"eval_physics_loss": 0.8210808038711548,
"eval_physics_mean_token_accuracy": 0.7902451878190041,
"eval_physics_num_tokens": 8622868.0,
"eval_physics_runtime": 64.5139,
"eval_physics_samples_per_second": 7.75,
"eval_physics_steps_per_second": 7.75,
"step": 1300
},
{
"entropy": 0.8071680258028209,
"epoch": 0.5830968675235075,
"grad_norm": 32.5,
"learning_rate": 1.9313333333333334e-05,
"loss": 13.2153,
"mean_token_accuracy": 0.7843220077455044,
"num_tokens": 8694510.0,
"step": 1310
},
{
"entropy": 0.8942232267931104,
"epoch": 0.5875479886496411,
"grad_norm": 33.5,
"learning_rate": 1.9291111111111115e-05,
"loss": 14.6327,
"mean_token_accuracy": 0.7653406778350472,
"num_tokens": 8757753.0,
"step": 1320
},
{
"entropy": 0.8597627034410834,
"epoch": 0.5919991097757747,
"grad_norm": 30.75,
"learning_rate": 1.926888888888889e-05,
"loss": 13.8741,
"mean_token_accuracy": 0.7796951614320278,
"num_tokens": 8823153.0,
"step": 1330
},
{
"entropy": 0.8664615718647838,
"epoch": 0.5964502309019084,
"grad_norm": 27.75,
"learning_rate": 1.924666666666667e-05,
"loss": 14.0396,
"mean_token_accuracy": 0.7731820710003376,
"num_tokens": 8886401.0,
"step": 1340
},
{
"entropy": 0.8158455387689173,
"epoch": 0.6009013520280421,
"grad_norm": 25.0,
"learning_rate": 1.9224444444444444e-05,
"loss": 13.1708,
"mean_token_accuracy": 0.7833993557840586,
"num_tokens": 8958530.0,
"step": 1350
},
{
"entropy": 0.8429827799089253,
"epoch": 0.6053524731541757,
"grad_norm": 29.5,
"learning_rate": 1.9202222222222225e-05,
"loss": 13.6607,
"mean_token_accuracy": 0.7796129040420056,
"num_tokens": 9024677.0,
"step": 1360
},
{
"entropy": 0.8648322455585002,
"epoch": 0.6098035942803094,
"grad_norm": 30.75,
"learning_rate": 1.918e-05,
"loss": 14.0503,
"mean_token_accuracy": 0.7712652169167995,
"num_tokens": 9090280.0,
"step": 1370
},
{
"entropy": 0.8274468386545777,
"epoch": 0.614254715406443,
"grad_norm": 31.0,
"learning_rate": 1.915777777777778e-05,
"loss": 13.5605,
"mean_token_accuracy": 0.7780856698751449,
"num_tokens": 9153771.0,
"step": 1380
},
{
"entropy": 0.7939455186016857,
"epoch": 0.6187058365325766,
"grad_norm": 28.5,
"learning_rate": 1.9135555555555555e-05,
"loss": 12.6986,
"mean_token_accuracy": 0.7918769404292106,
"num_tokens": 9227117.0,
"step": 1390
},
{
"entropy": 0.8405648414045572,
"epoch": 0.6231569576587103,
"grad_norm": 31.25,
"learning_rate": 1.9113333333333336e-05,
"loss": 13.9305,
"mean_token_accuracy": 0.7758563198149204,
"num_tokens": 9291760.0,
"step": 1400
},
{
"epoch": 0.6231569576587103,
"eval_biology_entropy": 1.4560990427136422,
"eval_biology_loss": 1.5385361909866333,
"eval_biology_mean_token_accuracy": 0.6521896251440048,
"eval_biology_num_tokens": 9291760.0,
"eval_biology_runtime": 48.3888,
"eval_biology_samples_per_second": 10.333,
"eval_biology_steps_per_second": 10.333,
"step": 1400
},
{
"epoch": 0.6231569576587103,
"eval_chemistry_entropy": 0.8454484658241272,
"eval_chemistry_loss": 0.8420565724372864,
"eval_chemistry_mean_token_accuracy": 0.7808461990356446,
"eval_chemistry_num_tokens": 9291760.0,
"eval_chemistry_runtime": 55.9558,
"eval_chemistry_samples_per_second": 8.936,
"eval_chemistry_steps_per_second": 8.936,
"step": 1400
},
{
"epoch": 0.6231569576587103,
"eval_math_entropy": 0.7586602506041527,
"eval_math_loss": 0.9284656643867493,
"eval_math_mean_token_accuracy": 0.7747275605797768,
"eval_math_num_tokens": 9291760.0,
"eval_math_runtime": 57.6406,
"eval_math_samples_per_second": 8.674,
"eval_math_steps_per_second": 8.674,
"step": 1400
},
{
"epoch": 0.6231569576587103,
"eval_physics_entropy": 0.8177245287299156,
"eval_physics_loss": 0.8168751001358032,
"eval_physics_mean_token_accuracy": 0.7908310489654541,
"eval_physics_num_tokens": 9291760.0,
"eval_physics_runtime": 64.5434,
"eval_physics_samples_per_second": 7.747,
"eval_physics_steps_per_second": 7.747,
"step": 1400
},
{
"entropy": 0.8965679749846458,
"epoch": 0.6276080787848439,
"grad_norm": 28.875,
"learning_rate": 1.9091111111111113e-05,
"loss": 14.1354,
"mean_token_accuracy": 0.7691367525607348,
"num_tokens": 9357561.0,
"step": 1410
},
{
"entropy": 0.8075421938672662,
"epoch": 0.6320591999109776,
"grad_norm": 36.25,
"learning_rate": 1.906888888888889e-05,
"loss": 13.3559,
"mean_token_accuracy": 0.7846433013677597,
"num_tokens": 9425022.0,
"step": 1420
},
{
"entropy": 0.8154678157530725,
"epoch": 0.6365103210371112,
"grad_norm": 30.75,
"learning_rate": 1.904666666666667e-05,
"loss": 13.1969,
"mean_token_accuracy": 0.7874299377202988,
"num_tokens": 9492028.0,
"step": 1430
},
{
"entropy": 0.795359942317009,
"epoch": 0.6409614421632449,
"grad_norm": 33.5,
"learning_rate": 1.9024444444444446e-05,
"loss": 12.7361,
"mean_token_accuracy": 0.7892100885510445,
"num_tokens": 9561091.0,
"step": 1440
},
{
"entropy": 0.8082486374303699,
"epoch": 0.6454125632893785,
"grad_norm": 36.25,
"learning_rate": 1.9002222222222224e-05,
"loss": 13.4226,
"mean_token_accuracy": 0.7825187552720309,
"num_tokens": 9628383.0,
"step": 1450
},
{
"entropy": 0.7709562292322516,
"epoch": 0.6498636844155121,
"grad_norm": 24.875,
"learning_rate": 1.898e-05,
"loss": 12.3092,
"mean_token_accuracy": 0.7987042464315891,
"num_tokens": 9695723.0,
"step": 1460
},
{
"entropy": 0.8008807510137558,
"epoch": 0.6543148055416458,
"grad_norm": 27.75,
"learning_rate": 1.895777777777778e-05,
"loss": 13.1207,
"mean_token_accuracy": 0.7885788295418024,
"num_tokens": 9763393.0,
"step": 1470
},
{
"entropy": 0.8602127678692341,
"epoch": 0.6587659266677794,
"grad_norm": 30.625,
"learning_rate": 1.8935555555555556e-05,
"loss": 13.8264,
"mean_token_accuracy": 0.7781572956591845,
"num_tokens": 9827272.0,
"step": 1480
},
{
"entropy": 0.8142364447936415,
"epoch": 0.6632170477939131,
"grad_norm": 25.75,
"learning_rate": 1.8913333333333334e-05,
"loss": 13.1217,
"mean_token_accuracy": 0.783425547555089,
"num_tokens": 9892418.0,
"step": 1490
},
{
"entropy": 0.7871226992458105,
"epoch": 0.6676681689200468,
"grad_norm": 30.25,
"learning_rate": 1.8891111111111115e-05,
"loss": 12.9626,
"mean_token_accuracy": 0.7883934937417507,
"num_tokens": 9955369.0,
"step": 1500
},
{
"epoch": 0.6676681689200468,
"eval_biology_entropy": 1.4557775322794915,
"eval_biology_loss": 1.5257188081741333,
"eval_biology_mean_token_accuracy": 0.6541550720334053,
"eval_biology_num_tokens": 9955369.0,
"eval_biology_runtime": 48.3598,
"eval_biology_samples_per_second": 10.339,
"eval_biology_steps_per_second": 10.339,
"step": 1500
},
{
"epoch": 0.6676681689200468,
"eval_chemistry_entropy": 0.8462375261187554,
"eval_chemistry_loss": 0.8326632976531982,
"eval_chemistry_mean_token_accuracy": 0.7831478416323662,
"eval_chemistry_num_tokens": 9955369.0,
"eval_chemistry_runtime": 56.166,
"eval_chemistry_samples_per_second": 8.902,
"eval_chemistry_steps_per_second": 8.902,
"step": 1500
},
{
"epoch": 0.6676681689200468,
"eval_math_entropy": 0.7239785996079445,
"eval_math_loss": 0.9294689893722534,
"eval_math_mean_token_accuracy": 0.7758806052207947,
"eval_math_num_tokens": 9955369.0,
"eval_math_runtime": 57.7436,
"eval_math_samples_per_second": 8.659,
"eval_math_steps_per_second": 8.659,
"step": 1500
},
{
"epoch": 0.6676681689200468,
"eval_physics_entropy": 0.80675083309412,
"eval_physics_loss": 0.8114446997642517,
"eval_physics_mean_token_accuracy": 0.7917336781024933,
"eval_physics_num_tokens": 9955369.0,
"eval_physics_runtime": 64.6166,
"eval_physics_samples_per_second": 7.738,
"eval_physics_steps_per_second": 7.738,
"step": 1500
},
{
"entropy": 0.800770258717239,
"epoch": 0.6721192900461804,
"grad_norm": 30.75,
"learning_rate": 1.886888888888889e-05,
"loss": 13.0324,
"mean_token_accuracy": 0.7872694227844477,
"num_tokens": 10026298.0,
"step": 1510
},
{
"entropy": 0.783286109380424,
"epoch": 0.676570411172314,
"grad_norm": 25.75,
"learning_rate": 1.884666666666667e-05,
"loss": 12.4817,
"mean_token_accuracy": 0.7961617294698954,
"num_tokens": 10096065.0,
"step": 1520
},
{
"entropy": 0.7893949760124087,
"epoch": 0.6810215322984476,
"grad_norm": 30.0,
"learning_rate": 1.8824444444444445e-05,
"loss": 13.1869,
"mean_token_accuracy": 0.785550700686872,
"num_tokens": 10160745.0,
"step": 1530
},
{
"entropy": 0.7694807301275433,
"epoch": 0.6854726534245813,
"grad_norm": 28.25,
"learning_rate": 1.8802222222222226e-05,
"loss": 12.351,
"mean_token_accuracy": 0.7945820547640323,
"num_tokens": 10233806.0,
"step": 1540
},
{
"entropy": 0.8161390135064721,
"epoch": 0.689923774550715,
"grad_norm": 31.75,
"learning_rate": 1.878e-05,
"loss": 13.1382,
"mean_token_accuracy": 0.7831036793068051,
"num_tokens": 10298845.0,
"step": 1550
},
{
"entropy": 0.7966067988425494,
"epoch": 0.6943748956768486,
"grad_norm": 26.0,
"learning_rate": 1.875777777777778e-05,
"loss": 12.9247,
"mean_token_accuracy": 0.7881739761680364,
"num_tokens": 10364601.0,
"step": 1560
},
{
"entropy": 0.8032784784212709,
"epoch": 0.6988260168029823,
"grad_norm": 31.0,
"learning_rate": 1.873555555555556e-05,
"loss": 13.22,
"mean_token_accuracy": 0.7806047774851322,
"num_tokens": 10434433.0,
"step": 1570
},
{
"entropy": 0.8202603160403669,
"epoch": 0.703277137929116,
"grad_norm": 31.875,
"learning_rate": 1.8713333333333336e-05,
"loss": 13.3456,
"mean_token_accuracy": 0.7826265832409263,
"num_tokens": 10500891.0,
"step": 1580
},
{
"entropy": 0.8302266797982156,
"epoch": 0.7077282590552495,
"grad_norm": 30.125,
"learning_rate": 1.8691111111111114e-05,
"loss": 13.3904,
"mean_token_accuracy": 0.7822956155985594,
"num_tokens": 10567784.0,
"step": 1590
},
{
"entropy": 0.8138553470373153,
"epoch": 0.7121793801813832,
"grad_norm": 30.25,
"learning_rate": 1.866888888888889e-05,
"loss": 13.1566,
"mean_token_accuracy": 0.7851062502712012,
"num_tokens": 10633325.0,
"step": 1600
},
{
"epoch": 0.7121793801813832,
"eval_biology_entropy": 1.3791690354943276,
"eval_biology_loss": 1.524488091468811,
"eval_biology_mean_token_accuracy": 0.6547593535780907,
"eval_biology_num_tokens": 10633325.0,
"eval_biology_runtime": 48.9722,
"eval_biology_samples_per_second": 10.21,
"eval_biology_steps_per_second": 10.21,
"step": 1600
},
{
"epoch": 0.7121793801813832,
"eval_chemistry_entropy": 0.8021684873104096,
"eval_chemistry_loss": 0.8266823291778564,
"eval_chemistry_mean_token_accuracy": 0.7833675542473792,
"eval_chemistry_num_tokens": 10633325.0,
"eval_chemistry_runtime": 56.3143,
"eval_chemistry_samples_per_second": 8.879,
"eval_chemistry_steps_per_second": 8.879,
"step": 1600
},
{
"epoch": 0.7121793801813832,
"eval_math_entropy": 0.7278057588338852,
"eval_math_loss": 0.9273984432220459,
"eval_math_mean_token_accuracy": 0.775624837398529,
"eval_math_num_tokens": 10633325.0,
"eval_math_runtime": 57.8846,
"eval_math_samples_per_second": 8.638,
"eval_math_steps_per_second": 8.638,
"step": 1600
},
{
"epoch": 0.7121793801813832,
"eval_physics_entropy": 0.7752277762889862,
"eval_physics_loss": 0.8078919649124146,
"eval_physics_mean_token_accuracy": 0.7920119677782058,
"eval_physics_num_tokens": 10633325.0,
"eval_physics_runtime": 64.6914,
"eval_physics_samples_per_second": 7.729,
"eval_physics_steps_per_second": 7.729,
"step": 1600
},
{
"entropy": 0.7584765239618718,
"epoch": 0.7166305013075168,
"grad_norm": 29.625,
"learning_rate": 1.864666666666667e-05,
"loss": 12.3764,
"mean_token_accuracy": 0.7947357408702374,
"num_tokens": 10699737.0,
"step": 1610
},
{
"entropy": 0.7241402980871499,
"epoch": 0.7210816224336505,
"grad_norm": 29.875,
"learning_rate": 1.8624444444444446e-05,
"loss": 11.657,
"mean_token_accuracy": 0.8018363416194916,
"num_tokens": 10764319.0,
"step": 1620
},
{
"entropy": 0.8102777177467942,
"epoch": 0.7255327435597841,
"grad_norm": 28.0,
"learning_rate": 1.8602222222222224e-05,
"loss": 13.1101,
"mean_token_accuracy": 0.7860476385802031,
"num_tokens": 10831617.0,
"step": 1630
},
{
"entropy": 0.7965463541448117,
"epoch": 0.7299838646859178,
"grad_norm": 33.5,
"learning_rate": 1.858e-05,
"loss": 13.0657,
"mean_token_accuracy": 0.7860200760886074,
"num_tokens": 10897916.0,
"step": 1640
},
{
"entropy": 0.7968934224918485,
"epoch": 0.7344349858120514,
"grad_norm": 31.25,
"learning_rate": 1.855777777777778e-05,
"loss": 12.7605,
"mean_token_accuracy": 0.7907386381179095,
"num_tokens": 10965483.0,
"step": 1650
},
{
"entropy": 0.815986966714263,
"epoch": 0.738886106938185,
"grad_norm": 28.625,
"learning_rate": 1.8535555555555557e-05,
"loss": 13.4257,
"mean_token_accuracy": 0.7834169883280993,
"num_tokens": 11030485.0,
"step": 1660
},
{
"entropy": 0.7852886017411947,
"epoch": 0.7433372280643187,
"grad_norm": 30.75,
"learning_rate": 1.8513333333333335e-05,
"loss": 12.7043,
"mean_token_accuracy": 0.7904564626514912,
"num_tokens": 11097108.0,
"step": 1670
},
{
"entropy": 0.7366841196082532,
"epoch": 0.7477883491904523,
"grad_norm": 28.0,
"learning_rate": 1.8491111111111112e-05,
"loss": 12.0585,
"mean_token_accuracy": 0.80070744715631,
"num_tokens": 11165356.0,
"step": 1680
},
{
"entropy": 0.8185211919248104,
"epoch": 0.752239470316586,
"grad_norm": 24.75,
"learning_rate": 1.846888888888889e-05,
"loss": 13.2307,
"mean_token_accuracy": 0.7844700736925005,
"num_tokens": 11234429.0,
"step": 1690
},
{
"entropy": 0.8034698501229286,
"epoch": 0.7566905914427197,
"grad_norm": 30.0,
"learning_rate": 1.8446666666666667e-05,
"loss": 12.8032,
"mean_token_accuracy": 0.7891142036765814,
"num_tokens": 11299223.0,
"step": 1700
},
{
"epoch": 0.7566905914427197,
"eval_biology_entropy": 1.372378243803978,
"eval_biology_loss": 1.5237188339233398,
"eval_biology_mean_token_accuracy": 0.6542273926138877,
"eval_biology_num_tokens": 11299223.0,
"eval_biology_runtime": 50.6031,
"eval_biology_samples_per_second": 9.881,
"eval_biology_steps_per_second": 9.881,
"step": 1700
},
{
"epoch": 0.7566905914427197,
"eval_chemistry_entropy": 0.7568316695690155,
"eval_chemistry_loss": 0.8222190737724304,
"eval_chemistry_mean_token_accuracy": 0.7850142307281495,
"eval_chemistry_num_tokens": 11299223.0,
"eval_chemistry_runtime": 55.9844,
"eval_chemistry_samples_per_second": 8.931,
"eval_chemistry_steps_per_second": 8.931,
"step": 1700
},
{
"epoch": 0.7566905914427197,
"eval_math_entropy": 0.6881917223036289,
"eval_math_loss": 0.9334322214126587,
"eval_math_mean_token_accuracy": 0.7758716726303101,
"eval_math_num_tokens": 11299223.0,
"eval_math_runtime": 57.6899,
"eval_math_samples_per_second": 8.667,
"eval_math_steps_per_second": 8.667,
"step": 1700
},
{
"epoch": 0.7566905914427197,
"eval_physics_entropy": 0.7379971377849579,
"eval_physics_loss": 0.8059815168380737,
"eval_physics_mean_token_accuracy": 0.7926979689002037,
"eval_physics_num_tokens": 11299223.0,
"eval_physics_runtime": 64.5278,
"eval_physics_samples_per_second": 7.749,
"eval_physics_steps_per_second": 7.749,
"step": 1700
},
{
"entropy": 0.7655514618381858,
"epoch": 0.7611417125688533,
"grad_norm": 27.5,
"learning_rate": 1.842444444444445e-05,
"loss": 12.6612,
"mean_token_accuracy": 0.7917376033961773,
"num_tokens": 11371200.0,
"step": 1710
},
{
"entropy": 0.8210326373577118,
"epoch": 0.7655928336949869,
"grad_norm": 24.0,
"learning_rate": 1.8402222222222223e-05,
"loss": 13.2178,
"mean_token_accuracy": 0.7826757222414017,
"num_tokens": 11436799.0,
"step": 1720
},
{
"entropy": 0.7854057714343071,
"epoch": 0.7700439548211205,
"grad_norm": 33.25,
"learning_rate": 1.8380000000000004e-05,
"loss": 12.7175,
"mean_token_accuracy": 0.7909122589975596,
"num_tokens": 11502965.0,
"step": 1730
},
{
"entropy": 0.818324554990977,
"epoch": 0.7744950759472542,
"grad_norm": 26.375,
"learning_rate": 1.8357777777777778e-05,
"loss": 13.2921,
"mean_token_accuracy": 0.7835916109383106,
"num_tokens": 11567422.0,
"step": 1740
},
{
"entropy": 0.7833996049128473,
"epoch": 0.7789461970733879,
"grad_norm": 23.25,
"learning_rate": 1.833555555555556e-05,
"loss": 12.7544,
"mean_token_accuracy": 0.7901845004409551,
"num_tokens": 11637076.0,
"step": 1750
},
{
"entropy": 0.8559338381513953,
"epoch": 0.7833973181995215,
"grad_norm": 31.0,
"learning_rate": 1.8313333333333333e-05,
"loss": 13.8373,
"mean_token_accuracy": 0.7730546899139881,
"num_tokens": 11703496.0,
"step": 1760
},
{
"entropy": 0.7425250586122274,
"epoch": 0.7878484393256552,
"grad_norm": 26.5,
"learning_rate": 1.8291111111111114e-05,
"loss": 12.0498,
"mean_token_accuracy": 0.7987047124654054,
"num_tokens": 11772773.0,
"step": 1770
},
{
"entropy": 0.7746422350406647,
"epoch": 0.7922995604517888,
"grad_norm": 28.25,
"learning_rate": 1.8268888888888888e-05,
"loss": 12.5952,
"mean_token_accuracy": 0.7921661175787449,
"num_tokens": 11840317.0,
"step": 1780
},
{
"entropy": 0.8539435828104616,
"epoch": 0.7967506815779224,
"grad_norm": 31.625,
"learning_rate": 1.824666666666667e-05,
"loss": 13.9317,
"mean_token_accuracy": 0.7740429677069187,
"num_tokens": 11903376.0,
"step": 1790
},
{
"entropy": 0.802261015586555,
"epoch": 0.801201802704056,
"grad_norm": 31.125,
"learning_rate": 1.8224444444444447e-05,
"loss": 12.8374,
"mean_token_accuracy": 0.7883880365639925,
"num_tokens": 11965530.0,
"step": 1800
},
{
"epoch": 0.801201802704056,
"eval_biology_entropy": 1.3964615616202354,
"eval_biology_loss": 1.5156149864196777,
"eval_biology_mean_token_accuracy": 0.6555449724793434,
"eval_biology_num_tokens": 11965530.0,
"eval_biology_runtime": 48.406,
"eval_biology_samples_per_second": 10.329,
"eval_biology_steps_per_second": 10.329,
"step": 1800
},
{
"epoch": 0.801201802704056,
"eval_chemistry_entropy": 0.7734425110518932,
"eval_chemistry_loss": 0.8168553709983826,
"eval_chemistry_mean_token_accuracy": 0.7861404958367347,
"eval_chemistry_num_tokens": 11965530.0,
"eval_chemistry_runtime": 55.979,
"eval_chemistry_samples_per_second": 8.932,
"eval_chemistry_steps_per_second": 8.932,
"step": 1800
},
{
"epoch": 0.801201802704056,
"eval_math_entropy": 0.6790068586170673,
"eval_math_loss": 0.9259929060935974,
"eval_math_mean_token_accuracy": 0.7774025141000748,
"eval_math_num_tokens": 11965530.0,
"eval_math_runtime": 57.7166,
"eval_math_samples_per_second": 8.663,
"eval_math_steps_per_second": 8.663,
"step": 1800
},
{
"epoch": 0.801201802704056,
"eval_physics_entropy": 0.7456672674119472,
"eval_physics_loss": 0.8008407950401306,
"eval_physics_mean_token_accuracy": 0.7940772858858108,
"eval_physics_num_tokens": 11965530.0,
"eval_physics_runtime": 64.5698,
"eval_physics_samples_per_second": 7.744,
"eval_physics_steps_per_second": 7.744,
"step": 1800
},
{
"entropy": 0.7921732081100344,
"epoch": 0.8056529238301897,
"grad_norm": 30.375,
"learning_rate": 1.8202222222222225e-05,
"loss": 13.0154,
"mean_token_accuracy": 0.7864332607015967,
"num_tokens": 12031493.0,
"step": 1810
},
{
"entropy": 0.8018918853253126,
"epoch": 0.8101040449563234,
"grad_norm": 26.5,
"learning_rate": 1.8180000000000002e-05,
"loss": 13.0744,
"mean_token_accuracy": 0.786062810011208,
"num_tokens": 12097917.0,
"step": 1820
},
{
"entropy": 0.8201096205040812,
"epoch": 0.814555166082457,
"grad_norm": 27.625,
"learning_rate": 1.815777777777778e-05,
"loss": 13.1547,
"mean_token_accuracy": 0.7859561391174793,
"num_tokens": 12163029.0,
"step": 1830
},
{
"entropy": 0.7941311306320131,
"epoch": 0.8190062872085907,
"grad_norm": 30.25,
"learning_rate": 1.8135555555555557e-05,
"loss": 13.0577,
"mean_token_accuracy": 0.7833772595971823,
"num_tokens": 12224427.0,
"step": 1840
},
{
"entropy": 0.8423910791054368,
"epoch": 0.8234574083347244,
"grad_norm": 28.875,
"learning_rate": 1.8113333333333335e-05,
"loss": 13.5246,
"mean_token_accuracy": 0.7849616762250662,
"num_tokens": 12291917.0,
"step": 1850
},
{
"entropy": 0.781013885512948,
"epoch": 0.8279085294608579,
"grad_norm": 26.875,
"learning_rate": 1.8091111111111113e-05,
"loss": 12.6225,
"mean_token_accuracy": 0.7902223410084843,
"num_tokens": 12365332.0,
"step": 1860
},
{
"entropy": 0.7929084118455648,
"epoch": 0.8323596505869916,
"grad_norm": 24.0,
"learning_rate": 1.806888888888889e-05,
"loss": 12.8591,
"mean_token_accuracy": 0.7884174790233374,
"num_tokens": 12441423.0,
"step": 1870
},
{
"entropy": 0.7592666557990014,
"epoch": 0.8368107717131252,
"grad_norm": 29.25,
"learning_rate": 1.8046666666666668e-05,
"loss": 12.1548,
"mean_token_accuracy": 0.7982564911246299,
"num_tokens": 12509124.0,
"step": 1880
},
{
"entropy": 0.7280074388720095,
"epoch": 0.8412618928392589,
"grad_norm": 24.5,
"learning_rate": 1.8024444444444445e-05,
"loss": 11.9887,
"mean_token_accuracy": 0.799430638551712,
"num_tokens": 12575355.0,
"step": 1890
},
{
"entropy": 0.7936474638059735,
"epoch": 0.8457130139653926,
"grad_norm": 30.5,
"learning_rate": 1.8002222222222223e-05,
"loss": 13.0008,
"mean_token_accuracy": 0.7857760902494192,
"num_tokens": 12642651.0,
"step": 1900
},
{
"epoch": 0.8457130139653926,
"eval_biology_entropy": 1.4316322038173674,
"eval_biology_loss": 1.5113598108291626,
"eval_biology_mean_token_accuracy": 0.6554486703276634,
"eval_biology_num_tokens": 12642651.0,
"eval_biology_runtime": 48.3436,
"eval_biology_samples_per_second": 10.343,
"eval_biology_steps_per_second": 10.343,
"step": 1900
},
{
"epoch": 0.8457130139653926,
"eval_chemistry_entropy": 0.8050240458548069,
"eval_chemistry_loss": 0.8119493126869202,
"eval_chemistry_mean_token_accuracy": 0.7857032447457314,
"eval_chemistry_num_tokens": 12642651.0,
"eval_chemistry_runtime": 55.9498,
"eval_chemistry_samples_per_second": 8.937,
"eval_chemistry_steps_per_second": 8.937,
"step": 1900
},
{
"epoch": 0.8457130139653926,
"eval_math_entropy": 0.7324284837841988,
"eval_math_loss": 0.9314535856246948,
"eval_math_mean_token_accuracy": 0.774106702029705,
"eval_math_num_tokens": 12642651.0,
"eval_math_runtime": 57.6443,
"eval_math_samples_per_second": 8.674,
"eval_math_steps_per_second": 8.674,
"step": 1900
},
{
"epoch": 0.8457130139653926,
"eval_physics_entropy": 0.7888250146508217,
"eval_physics_loss": 0.7979229688644409,
"eval_physics_mean_token_accuracy": 0.7938786220550537,
"eval_physics_num_tokens": 12642651.0,
"eval_physics_runtime": 64.5548,
"eval_physics_samples_per_second": 7.745,
"eval_physics_steps_per_second": 7.745,
"step": 1900
},
{
"entropy": 0.7670430541969836,
"epoch": 0.8501641350915262,
"grad_norm": 28.625,
"learning_rate": 1.798e-05,
"loss": 12.0248,
"mean_token_accuracy": 0.7999522622674704,
"num_tokens": 12710065.0,
"step": 1910
},
{
"entropy": 0.7739125786349177,
"epoch": 0.8546152562176598,
"grad_norm": 29.875,
"learning_rate": 1.7957777777777778e-05,
"loss": 12.8297,
"mean_token_accuracy": 0.7889043107628823,
"num_tokens": 12778408.0,
"step": 1920
},
{
"entropy": 0.7532942065969109,
"epoch": 0.8590663773437934,
"grad_norm": 32.0,
"learning_rate": 1.7935555555555556e-05,
"loss": 12.2406,
"mean_token_accuracy": 0.7968380350619555,
"num_tokens": 12845949.0,
"step": 1930
},
{
"entropy": 0.7928705636411906,
"epoch": 0.8635174984699271,
"grad_norm": 34.0,
"learning_rate": 1.7913333333333337e-05,
"loss": 12.7215,
"mean_token_accuracy": 0.79536547139287,
"num_tokens": 12910630.0,
"step": 1940
},
{
"entropy": 0.7868898861110211,
"epoch": 0.8679686195960608,
"grad_norm": 25.25,
"learning_rate": 1.789111111111111e-05,
"loss": 12.8065,
"mean_token_accuracy": 0.786562405899167,
"num_tokens": 12975379.0,
"step": 1950
},
{
"entropy": 0.7435561339370906,
"epoch": 0.8724197407221944,
"grad_norm": 25.75,
"learning_rate": 1.7868888888888892e-05,
"loss": 12.1042,
"mean_token_accuracy": 0.7956599161028862,
"num_tokens": 13046473.0,
"step": 1960
},
{
"entropy": 0.8422315520234406,
"epoch": 0.8768708618483281,
"grad_norm": 26.75,
"learning_rate": 1.7846666666666666e-05,
"loss": 13.6777,
"mean_token_accuracy": 0.7786285186186432,
"num_tokens": 13105019.0,
"step": 1970
},
{
"entropy": 0.834715377446264,
"epoch": 0.8813219829744617,
"grad_norm": 28.375,
"learning_rate": 1.7824444444444447e-05,
"loss": 13.4349,
"mean_token_accuracy": 0.7819999866187572,
"num_tokens": 13167768.0,
"step": 1980
},
{
"entropy": 0.7662934713065624,
"epoch": 0.8857731041005953,
"grad_norm": 27.0,
"learning_rate": 1.780222222222222e-05,
"loss": 12.4302,
"mean_token_accuracy": 0.7945365350693464,
"num_tokens": 13235899.0,
"step": 1990
},
{
"entropy": 0.7850984619930387,
"epoch": 0.890224225226729,
"grad_norm": 24.75,
"learning_rate": 1.7780000000000003e-05,
"loss": 12.5393,
"mean_token_accuracy": 0.791939041018486,
"num_tokens": 13301659.0,
"step": 2000
},
{
"epoch": 0.890224225226729,
"eval_biology_entropy": 1.3711472821831703,
"eval_biology_loss": 1.5089635848999023,
"eval_biology_mean_token_accuracy": 0.6568370184898377,
"eval_biology_num_tokens": 13301659.0,
"eval_biology_runtime": 48.3008,
"eval_biology_samples_per_second": 10.352,
"eval_biology_steps_per_second": 10.352,
"step": 2000
},
{
"epoch": 0.890224225226729,
"eval_chemistry_entropy": 0.7663880889117718,
"eval_chemistry_loss": 0.8071920871734619,
"eval_chemistry_mean_token_accuracy": 0.7873176004290581,
"eval_chemistry_num_tokens": 13301659.0,
"eval_chemistry_runtime": 56.4708,
"eval_chemistry_samples_per_second": 8.854,
"eval_chemistry_steps_per_second": 8.854,
"step": 2000
},
{
"epoch": 0.890224225226729,
"eval_math_entropy": 0.6875064164400101,
"eval_math_loss": 0.9262266755104065,
"eval_math_mean_token_accuracy": 0.7766597915887833,
"eval_math_num_tokens": 13301659.0,
"eval_math_runtime": 57.7873,
"eval_math_samples_per_second": 8.652,
"eval_math_steps_per_second": 8.652,
"step": 2000
},
{
"epoch": 0.890224225226729,
"eval_physics_entropy": 0.7452095941007137,
"eval_physics_loss": 0.7976797819137573,
"eval_physics_mean_token_accuracy": 0.7943488684892654,
"eval_physics_num_tokens": 13301659.0,
"eval_physics_runtime": 64.7143,
"eval_physics_samples_per_second": 7.726,
"eval_physics_steps_per_second": 7.726,
"step": 2000
}
],
"logging_steps": 10,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"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": 8.919343158882048e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}