hauser458original's picture
Upload folder using huggingface_hub
6649937 verified
Raw
History Blame Contribute Delete
37.5 kB
{
"best_global_step": 2000,
"best_metric": 0.8990073204040527,
"best_model_checkpoint": "lfm2.5-350m-balanced/checkpoint-2000",
"epoch": 2.0,
"eval_steps": 200,
"global_step": 2730,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.20119291305542,
"epoch": 0.018315018315018316,
"grad_norm": 10.4375,
"learning_rate": 5.853658536585366e-06,
"loss": 2.8065673828125,
"mean_token_accuracy": 0.57585333943367,
"num_tokens": 148430.0,
"step": 25
},
{
"entropy": 1.278236083984375,
"epoch": 0.03663003663003663,
"grad_norm": 4.125,
"learning_rate": 1.1951219512195123e-05,
"loss": 1.506644287109375,
"mean_token_accuracy": 0.7009313237667084,
"num_tokens": 301448.0,
"step": 50
},
{
"entropy": 1.0903868675231934,
"epoch": 0.054945054945054944,
"grad_norm": 2.609375,
"learning_rate": 1.804878048780488e-05,
"loss": 1.0758729553222657,
"mean_token_accuracy": 0.7404501688480377,
"num_tokens": 458432.0,
"step": 75
},
{
"entropy": 1.0081040942668915,
"epoch": 0.07326007326007326,
"grad_norm": 2.4375,
"learning_rate": 1.9997966159416884e-05,
"loss": 0.9917147827148437,
"mean_token_accuracy": 0.7522138917446136,
"num_tokens": 616048.0,
"step": 100
},
{
"entropy": 0.9854830229282379,
"epoch": 0.09157509157509157,
"grad_norm": 2.46875,
"learning_rate": 1.99875879788391e-05,
"loss": 0.9723490905761719,
"mean_token_accuracy": 0.7565386164188385,
"num_tokens": 772466.0,
"step": 125
},
{
"entropy": 0.9745642852783203,
"epoch": 0.10989010989010989,
"grad_norm": 2.25,
"learning_rate": 1.996842417490666e-05,
"loss": 0.9625119018554688,
"mean_token_accuracy": 0.760125788450241,
"num_tokens": 930723.0,
"step": 150
},
{
"entropy": 0.9700245261192322,
"epoch": 0.1282051282051282,
"grad_norm": 2.234375,
"learning_rate": 1.99404916051395e-05,
"loss": 0.9550397491455078,
"mean_token_accuracy": 0.7578657758235932,
"num_tokens": 1091160.0,
"step": 175
},
{
"entropy": 0.9669338822364807,
"epoch": 0.14652014652014653,
"grad_norm": 2.359375,
"learning_rate": 1.9903814840538914e-05,
"loss": 0.9478360748291016,
"mean_token_accuracy": 0.7623070132732391,
"num_tokens": 1245781.0,
"step": 200
},
{
"epoch": 0.14652014652014653,
"eval_entropy": 0.9581337045464251,
"eval_loss": 0.9430390000343323,
"eval_mean_token_accuracy": 0.7639545847972234,
"eval_num_tokens": 1245781.0,
"eval_runtime": 8.0902,
"eval_samples_per_second": 284.171,
"eval_steps_per_second": 17.799,
"step": 200
},
{
"entropy": 0.9653169775009155,
"epoch": 0.16483516483516483,
"grad_norm": 2.640625,
"learning_rate": 1.9858426143973623e-05,
"loss": 0.9534239959716797,
"mean_token_accuracy": 0.7631052339076996,
"num_tokens": 1395650.0,
"step": 225
},
{
"entropy": 0.962496577501297,
"epoch": 0.18315018315018314,
"grad_norm": 2.234375,
"learning_rate": 1.9804365441799555e-05,
"loss": 0.9441399383544922,
"mean_token_accuracy": 0.7629920542240143,
"num_tokens": 1553420.0,
"step": 250
},
{
"entropy": 0.9607322406768799,
"epoch": 0.20146520146520147,
"grad_norm": 2.46875,
"learning_rate": 1.9741680288738495e-05,
"loss": 0.939505615234375,
"mean_token_accuracy": 0.7633682239055634,
"num_tokens": 1708083.0,
"step": 275
},
{
"entropy": 0.9339856076240539,
"epoch": 0.21978021978021978,
"grad_norm": 2.203125,
"learning_rate": 1.967042582604635e-05,
"loss": 0.9153070831298828,
"mean_token_accuracy": 0.767605767250061,
"num_tokens": 1862545.0,
"step": 300
},
{
"entropy": 0.9721270000934601,
"epoch": 0.23809523809523808,
"grad_norm": 2.265625,
"learning_rate": 1.9590664733007947e-05,
"loss": 0.959111328125,
"mean_token_accuracy": 0.7571033167839051,
"num_tokens": 2017595.0,
"step": 325
},
{
"entropy": 0.961563161611557,
"epoch": 0.2564102564102564,
"grad_norm": 2.3125,
"learning_rate": 1.9502467171800902e-05,
"loss": 0.9458185577392578,
"mean_token_accuracy": 0.7628096437454224,
"num_tokens": 2166320.0,
"step": 350
},
{
"entropy": 0.9491504514217377,
"epoch": 0.27472527472527475,
"grad_norm": 2.34375,
"learning_rate": 1.940591072577719e-05,
"loss": 0.9269615173339844,
"mean_token_accuracy": 0.7635479891300201,
"num_tokens": 2325678.0,
"step": 375
},
{
"entropy": 0.9450718343257904,
"epoch": 0.29304029304029305,
"grad_norm": 2.28125,
"learning_rate": 1.930108033121663e-05,
"loss": 0.9313880920410156,
"mean_token_accuracy": 0.7636011290550232,
"num_tokens": 2481053.0,
"step": 400
},
{
"epoch": 0.29304029304029305,
"eval_entropy": 0.9506676958666908,
"eval_loss": 0.9265689849853516,
"eval_mean_token_accuracy": 0.7673345183332761,
"eval_num_tokens": 2481053.0,
"eval_runtime": 8.0719,
"eval_samples_per_second": 284.816,
"eval_steps_per_second": 17.84,
"step": 400
},
{
"entropy": 0.9616206979751587,
"epoch": 0.31135531135531136,
"grad_norm": 2.28125,
"learning_rate": 1.9188068202612317e-05,
"loss": 0.9455902862548828,
"mean_token_accuracy": 0.7630793690681458,
"num_tokens": 2633845.0,
"step": 425
},
{
"entropy": 0.9392594003677368,
"epoch": 0.32967032967032966,
"grad_norm": 2.3125,
"learning_rate": 1.906697375155377e-05,
"loss": 0.9156442260742188,
"mean_token_accuracy": 0.7659864926338196,
"num_tokens": 2790745.0,
"step": 450
},
{
"entropy": 0.9245667338371277,
"epoch": 0.34798534798534797,
"grad_norm": 2.203125,
"learning_rate": 1.8937903499279104e-05,
"loss": 0.903341064453125,
"mean_token_accuracy": 0.7713142216205597,
"num_tokens": 2943444.0,
"step": 475
},
{
"entropy": 0.912586669921875,
"epoch": 0.3663003663003663,
"grad_norm": 2.390625,
"learning_rate": 1.880097098297319e-05,
"loss": 0.8922891235351562,
"mean_token_accuracy": 0.771296215057373,
"num_tokens": 3098959.0,
"step": 500
},
{
"entropy": 0.9415633583068848,
"epoch": 0.38461538461538464,
"grad_norm": 2.15625,
"learning_rate": 1.8656296655894205e-05,
"loss": 0.9213317108154296,
"mean_token_accuracy": 0.7668669641017913,
"num_tokens": 3248382.0,
"step": 525
},
{
"entropy": 0.9617620420455932,
"epoch": 0.40293040293040294,
"grad_norm": 2.109375,
"learning_rate": 1.8504007781416385e-05,
"loss": 0.9434718322753907,
"mean_token_accuracy": 0.7617218482494355,
"num_tokens": 3409803.0,
"step": 550
},
{
"entropy": 0.9193656361103058,
"epoch": 0.42124542124542125,
"grad_norm": 2.0625,
"learning_rate": 1.8344238321082316e-05,
"loss": 0.901815185546875,
"mean_token_accuracy": 0.7707051420211792,
"num_tokens": 3559416.0,
"step": 575
},
{
"entropy": 0.9518638348579407,
"epoch": 0.43956043956043955,
"grad_norm": 2.15625,
"learning_rate": 1.817712881676307e-05,
"loss": 0.9327508544921875,
"mean_token_accuracy": 0.7644142961502075,
"num_tokens": 3710110.0,
"step": 600
},
{
"epoch": 0.43956043956043955,
"eval_entropy": 0.9517907314002514,
"eval_loss": 0.9172877073287964,
"eval_mean_token_accuracy": 0.7684686299827364,
"eval_num_tokens": 3710110.0,
"eval_runtime": 8.0887,
"eval_samples_per_second": 284.222,
"eval_steps_per_second": 17.803,
"step": 600
},
{
"entropy": 0.9130004584789276,
"epoch": 0.45787545787545786,
"grad_norm": 2.21875,
"learning_rate": 1.8002826267029977e-05,
"loss": 0.8941175079345703,
"mean_token_accuracy": 0.7705032932758331,
"num_tokens": 3862020.0,
"step": 625
},
{
"entropy": 0.9252553701400756,
"epoch": 0.47619047619047616,
"grad_norm": 2.15625,
"learning_rate": 1.7821483997846722e-05,
"loss": 0.9165068054199219,
"mean_token_accuracy": 0.7672811985015869,
"num_tokens": 4018231.0,
"step": 650
},
{
"entropy": 0.9462221479415893,
"epoch": 0.4945054945054945,
"grad_norm": 2.125,
"learning_rate": 1.763326152769551e-05,
"loss": 0.9259709167480469,
"mean_token_accuracy": 0.7658140981197357,
"num_tokens": 4173058.0,
"step": 675
},
{
"entropy": 0.9479129528999328,
"epoch": 0.5128205128205128,
"grad_norm": 2.234375,
"learning_rate": 1.743832442725599e-05,
"loss": 0.9296504974365234,
"mean_token_accuracy": 0.7648407304286957,
"num_tokens": 4327983.0,
"step": 700
},
{
"entropy": 0.9435758924484253,
"epoch": 0.5311355311355311,
"grad_norm": 2.046875,
"learning_rate": 1.7236844173760286e-05,
"loss": 0.9163207244873047,
"mean_token_accuracy": 0.7653989827632904,
"num_tokens": 4482610.0,
"step": 725
},
{
"entropy": 0.9563624393939972,
"epoch": 0.5494505494505495,
"grad_norm": 2.296875,
"learning_rate": 1.7028998000152368e-05,
"loss": 0.942515869140625,
"mean_token_accuracy": 0.7614016819000244,
"num_tokens": 4638096.0,
"step": 750
},
{
"entropy": 0.9195479357242584,
"epoch": 0.5677655677655677,
"grad_norm": 2.3125,
"learning_rate": 1.681496873918434e-05,
"loss": 0.8994998931884766,
"mean_token_accuracy": 0.7696708023548127,
"num_tokens": 4796965.0,
"step": 775
},
{
"entropy": 0.9382291078567505,
"epoch": 0.5860805860805861,
"grad_norm": 2.453125,
"learning_rate": 1.659494466258685e-05,
"loss": 0.9111621856689454,
"mean_token_accuracy": 0.7701178181171418,
"num_tokens": 4954572.0,
"step": 800
},
{
"epoch": 0.5860805860805861,
"eval_entropy": 0.9060760368075635,
"eval_loss": 0.9103703498840332,
"eval_mean_token_accuracy": 0.7709767441782687,
"eval_num_tokens": 4954572.0,
"eval_runtime": 8.0596,
"eval_samples_per_second": 285.248,
"eval_steps_per_second": 17.867,
"step": 800
},
{
"entropy": 0.9392394709587097,
"epoch": 0.6043956043956044,
"grad_norm": 2.34375,
"learning_rate": 1.6369119315455067e-05,
"loss": 0.9231902313232422,
"mean_token_accuracy": 0.7648055994510651,
"num_tokens": 5107234.0,
"step": 825
},
{
"entropy": 0.9370434725284577,
"epoch": 0.6227106227106227,
"grad_norm": 2.0625,
"learning_rate": 1.613769134599595e-05,
"loss": 0.9138022613525391,
"mean_token_accuracy": 0.7679059386253357,
"num_tokens": 5256697.0,
"step": 850
},
{
"entropy": 0.9104315054416656,
"epoch": 0.6410256410256411,
"grad_norm": 2.15625,
"learning_rate": 1.590086433078652e-05,
"loss": 0.8872809600830078,
"mean_token_accuracy": 0.7746103525161743,
"num_tokens": 5406816.0,
"step": 875
},
{
"entropy": 0.9144675505161285,
"epoch": 0.6593406593406593,
"grad_norm": 2.125,
"learning_rate": 1.5658846595696868e-05,
"loss": 0.8894432830810547,
"mean_token_accuracy": 0.7708098363876342,
"num_tokens": 5558294.0,
"step": 900
},
{
"entropy": 0.9206836307048798,
"epoch": 0.6776556776556777,
"grad_norm": 2.125,
"learning_rate": 1.541185103263545e-05,
"loss": 0.8961500549316406,
"mean_token_accuracy": 0.771810313463211,
"num_tokens": 5712111.0,
"step": 925
},
{
"entropy": 0.9454787099361419,
"epoch": 0.6959706959706959,
"grad_norm": 2.015625,
"learning_rate": 1.5160094912277816e-05,
"loss": 0.9270650482177735,
"mean_token_accuracy": 0.7659087121486664,
"num_tokens": 5867502.0,
"step": 950
},
{
"entropy": 0.9311832976341248,
"epoch": 0.7142857142857143,
"grad_norm": 2.3125,
"learning_rate": 1.4903799692943575e-05,
"loss": 0.9082266235351563,
"mean_token_accuracy": 0.7696301078796387,
"num_tokens": 6017997.0,
"step": 975
},
{
"entropy": 0.9084031569957733,
"epoch": 0.7326007326007326,
"grad_norm": 2.265625,
"learning_rate": 1.4643190825789646e-05,
"loss": 0.8856626129150391,
"mean_token_accuracy": 0.7754030025005341,
"num_tokens": 6170646.0,
"step": 1000
},
{
"epoch": 0.7326007326007326,
"eval_entropy": 0.9303645570245054,
"eval_loss": 0.9040034413337708,
"eval_mean_token_accuracy": 0.7716102877424823,
"eval_num_tokens": 6170646.0,
"eval_runtime": 8.0677,
"eval_samples_per_second": 284.963,
"eval_steps_per_second": 17.849,
"step": 1000
},
{
"entropy": 0.9288157105445862,
"epoch": 0.7509157509157509,
"grad_norm": 2.125,
"learning_rate": 1.4378497556491212e-05,
"loss": 0.9045313262939453,
"mean_token_accuracy": 0.7689747631549835,
"num_tokens": 6325950.0,
"step": 1025
},
{
"entropy": 0.9248845767974854,
"epoch": 0.7692307692307693,
"grad_norm": 2.296875,
"learning_rate": 1.410995272358482e-05,
"loss": 0.9021368408203125,
"mean_token_accuracy": 0.7702593433856965,
"num_tokens": 6475837.0,
"step": 1050
},
{
"entropy": 0.9433277988433838,
"epoch": 0.7875457875457875,
"grad_norm": 2.03125,
"learning_rate": 1.383779255365097e-05,
"loss": 0.9240187072753906,
"mean_token_accuracy": 0.7659425389766693,
"num_tokens": 6625842.0,
"step": 1075
},
{
"entropy": 0.9574247586727143,
"epoch": 0.8058608058608059,
"grad_norm": 2.265625,
"learning_rate": 1.356225645351645e-05,
"loss": 0.9296712493896484,
"mean_token_accuracy": 0.7633269345760345,
"num_tokens": 6777307.0,
"step": 1100
},
{
"entropy": 0.9137916600704193,
"epoch": 0.8241758241758241,
"grad_norm": 2.234375,
"learning_rate": 1.3283586799659083e-05,
"loss": 0.8911846160888672,
"mean_token_accuracy": 0.7715334737300873,
"num_tokens": 6932314.0,
"step": 1125
},
{
"entropy": 0.9397987961769104,
"epoch": 0.8424908424908425,
"grad_norm": 2.171875,
"learning_rate": 1.3002028725000296e-05,
"loss": 0.9209308624267578,
"mean_token_accuracy": 0.7674053549766541,
"num_tokens": 7082476.0,
"step": 1150
},
{
"entropy": 0.9472148299217225,
"epoch": 0.8608058608058609,
"grad_norm": 2.15625,
"learning_rate": 1.2717829903272889e-05,
"loss": 0.9266857147216797,
"mean_token_accuracy": 0.7626336240768432,
"num_tokens": 7239624.0,
"step": 1175
},
{
"entropy": 0.9480014276504517,
"epoch": 0.8791208791208791,
"grad_norm": 2.3125,
"learning_rate": 1.243124033115382e-05,
"loss": 0.9297947692871094,
"mean_token_accuracy": 0.762817633152008,
"num_tokens": 7394047.0,
"step": 1200
},
{
"epoch": 0.8791208791208791,
"eval_entropy": 0.9203641795449786,
"eval_loss": 0.8990768790245056,
"eval_mean_token_accuracy": 0.7723050812880198,
"eval_num_tokens": 7394047.0,
"eval_runtime": 8.072,
"eval_samples_per_second": 284.813,
"eval_steps_per_second": 17.84,
"step": 1200
},
{
"entropy": 0.9616302692890167,
"epoch": 0.8974358974358975,
"grad_norm": 2.640625,
"learning_rate": 1.2142512108353583e-05,
"loss": 0.9401410675048828,
"mean_token_accuracy": 0.7661498367786408,
"num_tokens": 7548323.0,
"step": 1225
},
{
"entropy": 0.9228850102424622,
"epoch": 0.9157509157509157,
"grad_norm": 2.21875,
"learning_rate": 1.1851899215855653e-05,
"loss": 0.8985552215576171,
"mean_token_accuracy": 0.7717998087406158,
"num_tokens": 7700481.0,
"step": 1250
},
{
"entropy": 0.8970145070552826,
"epoch": 0.9340659340659341,
"grad_norm": 2.296875,
"learning_rate": 1.1559657292501044e-05,
"loss": 0.87716064453125,
"mean_token_accuracy": 0.7763631820678711,
"num_tokens": 7852495.0,
"step": 1275
},
{
"entropy": 0.9301983499526978,
"epoch": 0.9523809523809523,
"grad_norm": 2.09375,
"learning_rate": 1.1266043410114557e-05,
"loss": 0.907692642211914,
"mean_token_accuracy": 0.7715549063682556,
"num_tokens": 8001324.0,
"step": 1300
},
{
"entropy": 0.91446182847023,
"epoch": 0.9706959706959707,
"grad_norm": 2.359375,
"learning_rate": 1.0971315847370463e-05,
"loss": 0.8939350891113281,
"mean_token_accuracy": 0.7720365560054779,
"num_tokens": 8161385.0,
"step": 1325
},
{
"entropy": 0.9196098625659943,
"epoch": 0.989010989010989,
"grad_norm": 2.109375,
"learning_rate": 1.06757338625966e-05,
"loss": 0.89285888671875,
"mean_token_accuracy": 0.7721686267852783,
"num_tokens": 8315619.0,
"step": 1350
},
{
"entropy": 0.9019503581523896,
"epoch": 1.0073260073260073,
"grad_norm": 1.8828125,
"learning_rate": 1.0379557465716696e-05,
"loss": 0.853975830078125,
"mean_token_accuracy": 0.7786379647254944,
"num_tokens": 8474116.0,
"step": 1375
},
{
"entropy": 0.8720257365703583,
"epoch": 1.0256410256410255,
"grad_norm": 2.140625,
"learning_rate": 1.0083047189531566e-05,
"loss": 0.8370319366455078,
"mean_token_accuracy": 0.7838277363777161,
"num_tokens": 8633284.0,
"step": 1400
},
{
"epoch": 1.0256410256410255,
"eval_entropy": 0.8584034711950355,
"eval_loss": 0.9003849029541016,
"eval_mean_token_accuracy": 0.7730862986710336,
"eval_num_tokens": 8633284.0,
"eval_runtime": 8.0586,
"eval_samples_per_second": 285.285,
"eval_steps_per_second": 17.869,
"step": 1400
},
{
"entropy": 0.8384023177623748,
"epoch": 1.043956043956044,
"grad_norm": 2.15625,
"learning_rate": 9.786463860540352e-06,
"loss": 0.7985468292236328,
"mean_token_accuracy": 0.7922709083557129,
"num_tokens": 8785152.0,
"step": 1425
},
{
"entropy": 0.848993946313858,
"epoch": 1.0622710622710623,
"grad_norm": 2.234375,
"learning_rate": 9.49006836950339e-06,
"loss": 0.8184638977050781,
"mean_token_accuracy": 0.7883424413204193,
"num_tokens": 8936429.0,
"step": 1450
},
{
"entropy": 0.8467873334884644,
"epoch": 1.0805860805860805,
"grad_norm": 2.140625,
"learning_rate": 9.194121441948596e-06,
"loss": 0.8056396484375,
"mean_token_accuracy": 0.7903980255126953,
"num_tokens": 9094633.0,
"step": 1475
},
{
"entropy": 0.8402684187889099,
"epoch": 1.098901098901099,
"grad_norm": 2.109375,
"learning_rate": 8.898883408823124e-06,
"loss": 0.8085630798339843,
"mean_token_accuracy": 0.7898635935783386,
"num_tokens": 9246323.0,
"step": 1500
},
{
"entropy": 0.8303942859172821,
"epoch": 1.1172161172161172,
"grad_norm": 2.0625,
"learning_rate": 8.604613977492212e-06,
"loss": 0.7932289123535157,
"mean_token_accuracy": 0.7939286470413208,
"num_tokens": 9395722.0,
"step": 1525
},
{
"entropy": 0.8481007432937622,
"epoch": 1.1355311355311355,
"grad_norm": 2.109375,
"learning_rate": 8.3115720032865e-06,
"loss": 0.8194800567626953,
"mean_token_accuracy": 0.7893430662155151,
"num_tokens": 9547484.0,
"step": 1550
},
{
"entropy": 0.8354680657386779,
"epoch": 1.1538461538461537,
"grad_norm": 2.265625,
"learning_rate": 8.02001526179883e-06,
"loss": 0.8005447387695312,
"mean_token_accuracy": 0.7913288366794586,
"num_tokens": 9699959.0,
"step": 1575
},
{
"entropy": 0.8411949121952057,
"epoch": 1.1721611721611722,
"grad_norm": 2.125,
"learning_rate": 7.730200222130932e-06,
"loss": 0.810956039428711,
"mean_token_accuracy": 0.7901583468914032,
"num_tokens": 9851149.0,
"step": 1600
},
{
"epoch": 1.1721611721611722,
"eval_entropy": 0.8544707364506192,
"eval_loss": 0.8998146057128906,
"eval_mean_token_accuracy": 0.7731748426126109,
"eval_num_tokens": 9851149.0,
"eval_runtime": 8.0715,
"eval_samples_per_second": 284.828,
"eval_steps_per_second": 17.84,
"step": 1600
},
{
"entropy": 0.8444626975059509,
"epoch": 1.1904761904761905,
"grad_norm": 2.328125,
"learning_rate": 7.442381821289248e-06,
"loss": 0.8108631896972657,
"mean_token_accuracy": 0.7912653696537018,
"num_tokens": 9998793.0,
"step": 1625
},
{
"entropy": 0.8223755669593811,
"epoch": 1.2087912087912087,
"grad_norm": 2.09375,
"learning_rate": 7.1568132399285794e-06,
"loss": 0.7869499969482422,
"mean_token_accuracy": 0.7936726534366607,
"num_tokens": 10152752.0,
"step": 1650
},
{
"entropy": 0.8130457592010498,
"epoch": 1.2271062271062272,
"grad_norm": 1.875,
"learning_rate": 6.8737456796406594e-06,
"loss": 0.78310546875,
"mean_token_accuracy": 0.7966435635089875,
"num_tokens": 10308001.0,
"step": 1675
},
{
"entropy": 0.8471330416202545,
"epoch": 1.2454212454212454,
"grad_norm": 2.046875,
"learning_rate": 6.593428141983595e-06,
"loss": 0.8101668548583985,
"mean_token_accuracy": 0.7890221488475799,
"num_tokens": 10459655.0,
"step": 1700
},
{
"entropy": 0.8247973656654358,
"epoch": 1.2637362637362637,
"grad_norm": 2.1875,
"learning_rate": 6.316107209446662e-06,
"loss": 0.796153564453125,
"mean_token_accuracy": 0.7926836657524109,
"num_tokens": 10615183.0,
"step": 1725
},
{
"entropy": 0.8476881444454193,
"epoch": 1.282051282051282,
"grad_norm": 2.1875,
"learning_rate": 6.042026828542942e-06,
"loss": 0.8173642730712891,
"mean_token_accuracy": 0.7872111082077027,
"num_tokens": 10774019.0,
"step": 1750
},
{
"entropy": 0.8313502633571624,
"epoch": 1.3003663003663004,
"grad_norm": 2.0,
"learning_rate": 5.7714280952207955e-06,
"loss": 0.8023670959472656,
"mean_token_accuracy": 0.7926879894733428,
"num_tokens": 10926453.0,
"step": 1775
},
{
"entropy": 0.8281714594364167,
"epoch": 1.3186813186813187,
"grad_norm": 2.296875,
"learning_rate": 5.504549042782779e-06,
"loss": 0.7919468688964844,
"mean_token_accuracy": 0.7943351435661316,
"num_tokens": 11076817.0,
"step": 1800
},
{
"epoch": 1.3186813186813187,
"eval_entropy": 0.8518242807024055,
"eval_loss": 0.8994762897491455,
"eval_mean_token_accuracy": 0.7733377065095637,
"eval_num_tokens": 11076817.0,
"eval_runtime": 8.0691,
"eval_samples_per_second": 284.912,
"eval_steps_per_second": 17.846,
"step": 1800
},
{
"entropy": 0.8253132402896881,
"epoch": 1.3369963369963371,
"grad_norm": 2.09375,
"learning_rate": 5.241624432498673e-06,
"loss": 0.7934477996826171,
"mean_token_accuracy": 0.7905769181251526,
"num_tokens": 11235359.0,
"step": 1825
},
{
"entropy": 0.8527077162265777,
"epoch": 1.3553113553113554,
"grad_norm": 2.25,
"learning_rate": 4.982885547096754e-06,
"loss": 0.8256228637695312,
"mean_token_accuracy": 0.7879673659801483,
"num_tokens": 11385249.0,
"step": 1850
},
{
"entropy": 0.8239582288265228,
"epoch": 1.3736263736263736,
"grad_norm": 2.09375,
"learning_rate": 4.728559987314975e-06,
"loss": 0.7923411560058594,
"mean_token_accuracy": 0.7940970385074615,
"num_tokens": 11539970.0,
"step": 1875
},
{
"entropy": 0.8423762857913971,
"epoch": 1.3919413919413919,
"grad_norm": 2.1875,
"learning_rate": 4.478871471691031e-06,
"loss": 0.8075601196289063,
"mean_token_accuracy": 0.7895544397830964,
"num_tokens": 11694684.0,
"step": 1900
},
{
"entropy": 0.8148546552658081,
"epoch": 1.4102564102564101,
"grad_norm": 2.125,
"learning_rate": 4.234039639767406e-06,
"loss": 0.7813822937011718,
"mean_token_accuracy": 0.7967073798179627,
"num_tokens": 11850074.0,
"step": 1925
},
{
"entropy": 0.840382571220398,
"epoch": 1.4285714285714286,
"grad_norm": 2.09375,
"learning_rate": 3.994279858884551e-06,
"loss": 0.8069898986816406,
"mean_token_accuracy": 0.7921997106075287,
"num_tokens": 12004729.0,
"step": 1950
},
{
"entropy": 0.8522861528396607,
"epoch": 1.4468864468864469,
"grad_norm": 2.03125,
"learning_rate": 3.7598030347321e-06,
"loss": 0.8208354187011718,
"mean_token_accuracy": 0.789222640991211,
"num_tokens": 12157974.0,
"step": 1975
},
{
"entropy": 0.8414350926876069,
"epoch": 1.4652014652014653,
"grad_norm": 2.078125,
"learning_rate": 3.530815425824797e-06,
"loss": 0.8093458557128906,
"mean_token_accuracy": 0.7892864966392517,
"num_tokens": 12306150.0,
"step": 2000
},
{
"epoch": 1.4652014652014653,
"eval_entropy": 0.8502832547658019,
"eval_loss": 0.8990073204040527,
"eval_mean_token_accuracy": 0.7732960196832815,
"eval_num_tokens": 12306150.0,
"eval_runtime": 8.068,
"eval_samples_per_second": 284.952,
"eval_steps_per_second": 17.848,
"step": 2000
},
{
"entropy": 0.8521664845943451,
"epoch": 1.4835164835164836,
"grad_norm": 2.0625,
"learning_rate": 3.307518462066344e-06,
"loss": 0.8166194915771484,
"mean_token_accuracy": 0.785648273229599,
"num_tokens": 12456962.0,
"step": 2025
},
{
"entropy": 0.8251003730297088,
"epoch": 1.5018315018315018,
"grad_norm": 2.203125,
"learning_rate": 3.0901085675607266e-06,
"loss": 0.7916029357910156,
"mean_token_accuracy": 0.7955028152465821,
"num_tokens": 12606544.0,
"step": 2050
},
{
"entropy": 0.8439912271499633,
"epoch": 1.52014652014652,
"grad_norm": 2.203125,
"learning_rate": 2.8787769878269667e-06,
"loss": 0.811083755493164,
"mean_token_accuracy": 0.7906605911254883,
"num_tokens": 12763473.0,
"step": 2075
},
{
"entropy": 0.8612873029708862,
"epoch": 1.5384615384615383,
"grad_norm": 2.21875,
"learning_rate": 2.673709621569167e-06,
"loss": 0.834039077758789,
"mean_token_accuracy": 0.786132972240448,
"num_tokens": 12917918.0,
"step": 2100
},
{
"entropy": 0.832386200428009,
"epoch": 1.5567765567765568,
"grad_norm": 2.15625,
"learning_rate": 2.475086857149982e-06,
"loss": 0.7950384521484375,
"mean_token_accuracy": 0.7901384067535401,
"num_tokens": 13072296.0,
"step": 2125
},
{
"entropy": 0.8401387500762939,
"epoch": 1.575091575091575,
"grad_norm": 2.140625,
"learning_rate": 2.2830834139112136e-06,
"loss": 0.8060906219482422,
"mean_token_accuracy": 0.7896384346485138,
"num_tokens": 13226077.0,
"step": 2150
},
{
"entropy": 0.8430456602573395,
"epoch": 1.5934065934065935,
"grad_norm": 2.28125,
"learning_rate": 2.097868188481217e-06,
"loss": 0.8120394134521485,
"mean_token_accuracy": 0.7886982035636901,
"num_tokens": 13379631.0,
"step": 2175
},
{
"entropy": 0.8341074979305267,
"epoch": 1.6117216117216118,
"grad_norm": 2.28125,
"learning_rate": 1.919604106204298e-06,
"loss": 0.7923731231689453,
"mean_token_accuracy": 0.7932259738445282,
"num_tokens": 13537431.0,
"step": 2200
},
{
"epoch": 1.6117216117216118,
"eval_entropy": 0.8466265425086021,
"eval_loss": 0.8991615176200867,
"eval_mean_token_accuracy": 0.7732404433190823,
"eval_num_tokens": 13537431.0,
"eval_runtime": 8.0784,
"eval_samples_per_second": 284.585,
"eval_steps_per_second": 17.825,
"step": 2200
},
{
"entropy": 0.829889565706253,
"epoch": 1.63003663003663,
"grad_norm": 2.09375,
"learning_rate": 1.7484479778227281e-06,
"loss": 0.7963677215576171,
"mean_token_accuracy": 0.7930803084373474,
"num_tokens": 13696124.0,
"step": 2225
},
{
"entropy": 0.8456670987606049,
"epoch": 1.6483516483516483,
"grad_norm": 2.125,
"learning_rate": 1.5845503615375534e-06,
"loss": 0.8171965789794922,
"mean_token_accuracy": 0.78998281955719,
"num_tokens": 13850353.0,
"step": 2250
},
{
"entropy": 0.834287303686142,
"epoch": 1.6666666666666665,
"grad_norm": 2.203125,
"learning_rate": 1.4280554305694205e-06,
"loss": 0.8009786987304688,
"mean_token_accuracy": 0.7929751622676849,
"num_tokens": 14002830.0,
"step": 2275
},
{
"entropy": 0.8210822236537934,
"epoch": 1.684981684981685,
"grad_norm": 2.171875,
"learning_rate": 1.2791008463360077e-06,
"loss": 0.7856560516357421,
"mean_token_accuracy": 0.7937294292449951,
"num_tokens": 14159802.0,
"step": 2300
},
{
"entropy": 0.8226444447040557,
"epoch": 1.7032967032967035,
"grad_norm": 2.09375,
"learning_rate": 1.1378176373575977e-06,
"loss": 0.7973332977294922,
"mean_token_accuracy": 0.7935956382751465,
"num_tokens": 14315490.0,
"step": 2325
},
{
"entropy": 0.8418577921390533,
"epoch": 1.7216117216117217,
"grad_norm": 2.203125,
"learning_rate": 1.004330083997278e-06,
"loss": 0.8100568389892578,
"mean_token_accuracy": 0.79057302236557,
"num_tokens": 14471457.0,
"step": 2350
},
{
"entropy": 0.8569370365142822,
"epoch": 1.73992673992674,
"grad_norm": 2.296875,
"learning_rate": 8.787556091372207e-07,
"loss": 0.8271647644042969,
"mean_token_accuracy": 0.783940087556839,
"num_tokens": 14627084.0,
"step": 2375
},
{
"entropy": 0.8276915633678437,
"epoch": 1.7582417582417582,
"grad_norm": 2.171875,
"learning_rate": 7.612046748871327e-07,
"loss": 0.8014369201660156,
"mean_token_accuracy": 0.790752956867218,
"num_tokens": 14772996.0,
"step": 2400
},
{
"epoch": 1.7582417582417582,
"eval_entropy": 0.8465850080053011,
"eval_loss": 0.899135172367096,
"eval_mean_token_accuracy": 0.7732518298758401,
"eval_num_tokens": 14772996.0,
"eval_runtime": 8.0715,
"eval_samples_per_second": 284.83,
"eval_steps_per_second": 17.841,
"step": 2400
},
{
"entropy": 0.8189385521411896,
"epoch": 1.7765567765567765,
"grad_norm": 2.09375,
"learning_rate": 6.517806854158204e-07,
"loss": 0.7890790557861328,
"mean_token_accuracy": 0.7950505125522613,
"num_tokens": 14926511.0,
"step": 2425
},
{
"entropy": 0.8378893113136292,
"epoch": 1.7948717948717947,
"grad_norm": 2.359375,
"learning_rate": 5.505798959912723e-07,
"loss": 0.8117930603027343,
"mean_token_accuracy": 0.7887657046318054,
"num_tokens": 15081687.0,
"step": 2450
},
{
"entropy": 0.8320703601837158,
"epoch": 1.8131868131868132,
"grad_norm": 2.140625,
"learning_rate": 4.576913283093098e-07,
"loss": 0.8038975524902344,
"mean_token_accuracy": 0.7904533529281617,
"num_tokens": 15236278.0,
"step": 2475
},
{
"entropy": 0.8401167035102844,
"epoch": 1.8315018315018317,
"grad_norm": 2.234375,
"learning_rate": 3.7319669218529475e-07,
"loss": 0.8033819580078125,
"mean_token_accuracy": 0.7910889124870301,
"num_tokens": 15391169.0,
"step": 2500
},
{
"entropy": 0.858134560585022,
"epoch": 1.84981684981685,
"grad_norm": 2.359375,
"learning_rate": 2.971703136777315e-07,
"loss": 0.8318187713623046,
"mean_token_accuracy": 0.784791008234024,
"num_tokens": 15548066.0,
"step": 2525
},
{
"entropy": 0.8192259454727173,
"epoch": 1.8681318681318682,
"grad_norm": 1.9453125,
"learning_rate": 2.2967906970705722e-07,
"loss": 0.7859656524658203,
"mean_token_accuracy": 0.7967568933963776,
"num_tokens": 15699746.0,
"step": 2550
},
{
"entropy": 0.8540216779708862,
"epoch": 1.8864468864468864,
"grad_norm": 2.171875,
"learning_rate": 1.7078232922706495e-07,
"loss": 0.8298044586181641,
"mean_token_accuracy": 0.7818279254436493,
"num_tokens": 15856690.0,
"step": 2575
},
{
"entropy": 0.8150307929515839,
"epoch": 1.9047619047619047,
"grad_norm": 2.109375,
"learning_rate": 1.2053190100077106e-07,
"loss": 0.7887921905517579,
"mean_token_accuracy": 0.7932768344879151,
"num_tokens": 16013738.0,
"step": 2600
},
{
"epoch": 1.9047619047619047,
"eval_entropy": 0.8467293654878935,
"eval_loss": 0.8991142511367798,
"eval_mean_token_accuracy": 0.7734044496383932,
"eval_num_tokens": 16013738.0,
"eval_runtime": 8.0684,
"eval_samples_per_second": 284.939,
"eval_steps_per_second": 17.847,
"step": 2600
},
{
"entropy": 0.8457963478565216,
"epoch": 1.9230769230769231,
"grad_norm": 2.1875,
"learning_rate": 7.897198802661266e-08,
"loss": 0.8114620971679688,
"mean_token_accuracy": 0.7876574242115021,
"num_tokens": 16168732.0,
"step": 2625
},
{
"entropy": 0.8315440094470978,
"epoch": 1.9413919413919414,
"grad_norm": 2.09375,
"learning_rate": 4.613914865509439e-08,
"loss": 0.8015847778320313,
"mean_token_accuracy": 0.7910509896278382,
"num_tokens": 16319610.0,
"step": 2650
},
{
"entropy": 0.8333329391479493,
"epoch": 1.9597069597069599,
"grad_norm": 2.1875,
"learning_rate": 2.2062264430087187e-08,
"loss": 0.8026151275634765,
"mean_token_accuracy": 0.7906608557701111,
"num_tokens": 16484108.0,
"step": 2675
},
{
"entropy": 0.8297130846977234,
"epoch": 1.978021978021978,
"grad_norm": 2.0625,
"learning_rate": 6.762514683058552e-09,
"loss": 0.7984342193603515,
"mean_token_accuracy": 0.7927398717403412,
"num_tokens": 16637988.0,
"step": 2700
},
{
"entropy": 0.8448534452915192,
"epoch": 1.9963369963369964,
"grad_norm": 2.1875,
"learning_rate": 2.5335790258207426e-10,
"loss": 0.8189653015136719,
"mean_token_accuracy": 0.7890227103233337,
"num_tokens": 16789803.0,
"step": 2725
},
{
"epoch": 2.0,
"eval_entropy": 0.8461464825603697,
"eval_loss": 0.8991644978523254,
"eval_mean_token_accuracy": 0.7732141961654028,
"eval_num_tokens": 16819082.0,
"eval_runtime": 8.0725,
"eval_samples_per_second": 284.796,
"eval_steps_per_second": 17.838,
"step": 2730
}
],
"logging_steps": 25,
"max_steps": 2730,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 200,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 6.805484445629952e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}