foamMistralV0.3-7B-Instruct / trainer_state.json
finalform's picture
Upload folder using huggingface_hub
8010bcd verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"eval_steps": 500,
"global_step": 2075,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.060350030175015085,
"grad_norm": 0.8775522708892822,
"learning_rate": 8.18181818181818e-05,
"loss": 1.5879,
"mean_token_accuracy": 0.6690774387121201,
"num_tokens": 155085.0,
"step": 25
},
{
"epoch": 0.12070006035003017,
"grad_norm": 0.9928436279296875,
"learning_rate": 0.00016704545454545452,
"loss": 0.882,
"mean_token_accuracy": 0.7819808393716812,
"num_tokens": 272168.0,
"step": 50
},
{
"epoch": 0.18105009052504525,
"grad_norm": 0.6491063237190247,
"learning_rate": 0.0002522727272727273,
"loss": 0.5779,
"mean_token_accuracy": 0.8428267538547516,
"num_tokens": 424672.0,
"step": 75
},
{
"epoch": 0.24140012070006034,
"grad_norm": 0.8907634615898132,
"learning_rate": 0.0002999887132933212,
"loss": 0.5317,
"mean_token_accuracy": 0.8538330507278442,
"num_tokens": 538458.0,
"step": 100
},
{
"epoch": 0.30175015087507545,
"grad_norm": 0.9097657203674316,
"learning_rate": 0.0002998791256978121,
"loss": 0.3574,
"mean_token_accuracy": 0.8985000151395798,
"num_tokens": 689411.0,
"step": 125
},
{
"epoch": 0.3621001810500905,
"grad_norm": 0.6912802457809448,
"learning_rate": 0.0002996530399366737,
"loss": 0.3448,
"mean_token_accuracy": 0.9023130792379379,
"num_tokens": 804866.0,
"step": 150
},
{
"epoch": 0.4224502112251056,
"grad_norm": 0.5329523682594299,
"learning_rate": 0.00029931063174202567,
"loss": 0.2315,
"mean_token_accuracy": 0.9339979404211044,
"num_tokens": 957115.0,
"step": 175
},
{
"epoch": 0.4828002414001207,
"grad_norm": 0.759782075881958,
"learning_rate": 0.00029885216726118104,
"loss": 0.2336,
"mean_token_accuracy": 0.9350438743829728,
"num_tokens": 1073977.0,
"step": 200
},
{
"epoch": 0.5431502715751357,
"grad_norm": 0.3837663531303406,
"learning_rate": 0.00029827800284977474,
"loss": 0.189,
"mean_token_accuracy": 0.9478910142183303,
"num_tokens": 1225658.0,
"step": 225
},
{
"epoch": 0.6035003017501509,
"grad_norm": 0.7154819369316101,
"learning_rate": 0.00029758858479477575,
"loss": 0.192,
"mean_token_accuracy": 0.9470360428094864,
"num_tokens": 1340933.0,
"step": 250
},
{
"epoch": 0.663850331925166,
"grad_norm": 0.32724520564079285,
"learning_rate": 0.0002967844489675963,
"loss": 0.1544,
"mean_token_accuracy": 0.9575115633010864,
"num_tokens": 1492525.0,
"step": 275
},
{
"epoch": 0.724200362100181,
"grad_norm": 0.7199254035949707,
"learning_rate": 0.00029586622040756957,
"loss": 0.1512,
"mean_token_accuracy": 0.9590712755918502,
"num_tokens": 1609549.0,
"step": 300
},
{
"epoch": 0.7845503922751962,
"grad_norm": 0.5064759850502014,
"learning_rate": 0.0002948346128361186,
"loss": 0.127,
"mean_token_accuracy": 0.9652698183059693,
"num_tokens": 1760812.0,
"step": 325
},
{
"epoch": 0.8449004224502112,
"grad_norm": 0.9060899615287781,
"learning_rate": 0.00029369042810199416,
"loss": 0.1295,
"mean_token_accuracy": 0.9658441722393036,
"num_tokens": 1878082.0,
"step": 350
},
{
"epoch": 0.9052504526252263,
"grad_norm": 0.39403802156448364,
"learning_rate": 0.0002924345555580135,
"loss": 0.124,
"mean_token_accuracy": 0.96674849152565,
"num_tokens": 2030379.0,
"step": 375
},
{
"epoch": 0.9656004828002414,
"grad_norm": 0.510175347328186,
"learning_rate": 0.000291067971369783,
"loss": 0.1175,
"mean_token_accuracy": 0.9700243002176285,
"num_tokens": 2145568.0,
"step": 400
},
{
"epoch": 1.0,
"eval_loss": 0.12158163636922836,
"eval_mean_token_accuracy": 0.9679943664653882,
"eval_num_tokens": 2223513.0,
"eval_runtime": 60.3991,
"eval_samples_per_second": 6.109,
"eval_steps_per_second": 3.063,
"step": 415
},
{
"epoch": 1.024140012070006,
"grad_norm": 0.406086802482605,
"learning_rate": 0.0002895917377569438,
"loss": 0.1273,
"mean_token_accuracy": 0.9658442354693855,
"num_tokens": 2291474.0,
"step": 425
},
{
"epoch": 1.0844900422450212,
"grad_norm": 0.5659676790237427,
"learning_rate": 0.00028800700216752875,
"loss": 0.0838,
"mean_token_accuracy": 0.9784896957874298,
"num_tokens": 2426520.0,
"step": 450
},
{
"epoch": 1.1448400724200363,
"grad_norm": 0.35416120290756226,
"learning_rate": 0.00028631499638607285,
"loss": 0.1106,
"mean_token_accuracy": 0.9712809121608734,
"num_tokens": 2559490.0,
"step": 475
},
{
"epoch": 1.2051901025950513,
"grad_norm": 0.4320279657840729,
"learning_rate": 0.0002845170355761712,
"loss": 0.0828,
"mean_token_accuracy": 0.9781204652786255,
"num_tokens": 2692836.0,
"step": 500
},
{
"epoch": 1.2655401327700664,
"grad_norm": 0.2252548485994339,
"learning_rate": 0.0002826145172582274,
"loss": 0.1078,
"mean_token_accuracy": 0.972182622551918,
"num_tokens": 2824220.0,
"step": 525
},
{
"epoch": 1.3258901629450814,
"grad_norm": 0.5526081323623657,
"learning_rate": 0.00028060892022318764,
"loss": 0.0859,
"mean_token_accuracy": 0.9773634171485901,
"num_tokens": 2957350.0,
"step": 550
},
{
"epoch": 1.3862401931200965,
"grad_norm": 0.28977397084236145,
"learning_rate": 0.0002785018033831051,
"loss": 0.1003,
"mean_token_accuracy": 0.9744341260194779,
"num_tokens": 3089488.0,
"step": 575
},
{
"epoch": 1.4465902232951118,
"grad_norm": 0.3141675591468811,
"learning_rate": 0.0002762948045594276,
"loss": 0.0791,
"mean_token_accuracy": 0.9794832402467728,
"num_tokens": 3223359.0,
"step": 600
},
{
"epoch": 1.5069402534701268,
"grad_norm": 0.2956194579601288,
"learning_rate": 0.0002739896392099502,
"loss": 0.0973,
"mean_token_accuracy": 0.9747027105093002,
"num_tokens": 3356289.0,
"step": 625
},
{
"epoch": 1.567290283645142,
"grad_norm": 0.20789697766304016,
"learning_rate": 0.00027158809909542307,
"loss": 0.0799,
"mean_token_accuracy": 0.9793938374519349,
"num_tokens": 3492136.0,
"step": 650
},
{
"epoch": 1.627640313820157,
"grad_norm": 0.2433897703886032,
"learning_rate": 0.00026909205088685,
"loss": 0.1014,
"mean_token_accuracy": 0.9734487825632095,
"num_tokens": 3626915.0,
"step": 675
},
{
"epoch": 1.687990343995172,
"grad_norm": 0.7531152367591858,
"learning_rate": 0.0002665034347145612,
"loss": 0.0712,
"mean_token_accuracy": 0.9815128433704376,
"num_tokens": 3763997.0,
"step": 700
},
{
"epoch": 1.748340374170187,
"grad_norm": 0.2832512855529785,
"learning_rate": 0.000263824262660187,
"loss": 0.0906,
"mean_token_accuracy": 0.9767874735593796,
"num_tokens": 3899136.0,
"step": 725
},
{
"epoch": 1.8086904043452021,
"grad_norm": 0.25026917457580566,
"learning_rate": 0.0002610566171927056,
"loss": 0.0738,
"mean_token_accuracy": 0.9808795565366745,
"num_tokens": 4035090.0,
"step": 750
},
{
"epoch": 1.8690404345202172,
"grad_norm": 0.2247888296842575,
"learning_rate": 0.00025820264954977976,
"loss": 0.0924,
"mean_token_accuracy": 0.9755205953121185,
"num_tokens": 4170738.0,
"step": 775
},
{
"epoch": 1.9293904646952322,
"grad_norm": 0.2288103550672531,
"learning_rate": 0.00025526457806564136,
"loss": 0.0689,
"mean_token_accuracy": 0.9819435960054398,
"num_tokens": 4304690.0,
"step": 800
},
{
"epoch": 1.9897404948702473,
"grad_norm": 0.3063240647315979,
"learning_rate": 0.00025224468644682245,
"loss": 0.0848,
"mean_token_accuracy": 0.9782917034626007,
"num_tokens": 4428594.0,
"step": 825
},
{
"epoch": 2.0,
"eval_loss": 0.08532727509737015,
"eval_mean_token_accuracy": 0.978298093499364,
"eval_num_tokens": 4447026.0,
"eval_runtime": 60.4972,
"eval_samples_per_second": 6.099,
"eval_steps_per_second": 3.058,
"step": 830
},
{
"epoch": 2.048280024140012,
"grad_norm": 0.292191743850708,
"learning_rate": 0.00024914532199707444,
"loss": 0.0742,
"mean_token_accuracy": 0.9807861385886202,
"num_tokens": 4570802.0,
"step": 850
},
{
"epoch": 2.1086300543150274,
"grad_norm": 0.12266981601715088,
"learning_rate": 0.00024596889379285353,
"loss": 0.0583,
"mean_token_accuracy": 0.9852461409568787,
"num_tokens": 4693406.0,
"step": 875
},
{
"epoch": 2.1689800844900424,
"grad_norm": 0.2619573473930359,
"learning_rate": 0.00024271787081079228,
"loss": 0.0675,
"mean_token_accuracy": 0.9823181647062301,
"num_tokens": 4840920.0,
"step": 900
},
{
"epoch": 2.2293301146650575,
"grad_norm": 0.3071349859237671,
"learning_rate": 0.00023939478000861117,
"loss": 0.0618,
"mean_token_accuracy": 0.9843161147832871,
"num_tokens": 4963388.0,
"step": 925
},
{
"epoch": 2.2896801448400725,
"grad_norm": 0.19022433459758759,
"learning_rate": 0.00023600220436096318,
"loss": 0.073,
"mean_token_accuracy": 0.9802478235960007,
"num_tokens": 5109242.0,
"step": 950
},
{
"epoch": 2.3500301750150876,
"grad_norm": 0.21214531362056732,
"learning_rate": 0.00023254278085173684,
"loss": 0.058,
"mean_token_accuracy": 0.985277818441391,
"num_tokens": 5233880.0,
"step": 975
},
{
"epoch": 2.4103802051901027,
"grad_norm": 0.27143731713294983,
"learning_rate": 0.00022901919842437972,
"loss": 0.0696,
"mean_token_accuracy": 0.9813511747121811,
"num_tokens": 5379872.0,
"step": 1000
},
{
"epoch": 2.4707302353651177,
"grad_norm": 0.22756575047969818,
"learning_rate": 0.00022543419589183397,
"loss": 0.0557,
"mean_token_accuracy": 0.9860703033208847,
"num_tokens": 5503533.0,
"step": 1025
},
{
"epoch": 2.5310802655401328,
"grad_norm": 0.20393149554729462,
"learning_rate": 0.00022179055980770993,
"loss": 0.0714,
"mean_token_accuracy": 0.9812053245306015,
"num_tokens": 5648709.0,
"step": 1050
},
{
"epoch": 2.591430295715148,
"grad_norm": 0.1682002693414688,
"learning_rate": 0.0002180911223003513,
"loss": 0.0573,
"mean_token_accuracy": 0.9854411727190018,
"num_tokens": 5771477.0,
"step": 1075
},
{
"epoch": 2.651780325890163,
"grad_norm": 0.17297177016735077,
"learning_rate": 0.00021433875887147627,
"loss": 0.0684,
"mean_token_accuracy": 0.9818347871303559,
"num_tokens": 5917022.0,
"step": 1100
},
{
"epoch": 2.712130356065178,
"grad_norm": 0.3354227840900421,
"learning_rate": 0.00021053638616110525,
"loss": 0.056,
"mean_token_accuracy": 0.9859032183885574,
"num_tokens": 6040041.0,
"step": 1125
},
{
"epoch": 2.772480386240193,
"grad_norm": 0.17890885472297668,
"learning_rate": 0.00020668695968051274,
"loss": 0.0644,
"mean_token_accuracy": 0.9828311365842819,
"num_tokens": 6183440.0,
"step": 1150
},
{
"epoch": 2.832830416415208,
"grad_norm": 0.19668501615524292,
"learning_rate": 0.00020279347151496482,
"loss": 0.0572,
"mean_token_accuracy": 0.9856607836484909,
"num_tokens": 6307206.0,
"step": 1175
},
{
"epoch": 2.8931804465902236,
"grad_norm": 0.12178179621696472,
"learning_rate": 0.00019885894799802922,
"loss": 0.0626,
"mean_token_accuracy": 0.9839641106128693,
"num_tokens": 6451936.0,
"step": 1200
},
{
"epoch": 2.9535304767652386,
"grad_norm": 0.14492283761501312,
"learning_rate": 0.00019488644735926396,
"loss": 0.0533,
"mean_token_accuracy": 0.9867338234186173,
"num_tokens": 6574944.0,
"step": 1225
},
{
"epoch": 3.0,
"eval_loss": 0.06949137151241302,
"eval_mean_token_accuracy": 0.9829865713377257,
"eval_num_tokens": 6670539.0,
"eval_runtime": 60.3936,
"eval_samples_per_second": 6.11,
"eval_steps_per_second": 3.063,
"step": 1245
},
{
"epoch": 3.012070006035003,
"grad_norm": 0.18783801794052124,
"learning_rate": 0.00019087905734711452,
"loss": 0.0609,
"mean_token_accuracy": 0.984156120683729,
"num_tokens": 6706398.0,
"step": 1250
},
{
"epoch": 3.0724200362100182,
"grad_norm": 0.2086067646741867,
"learning_rate": 0.00018683989282886613,
"loss": 0.046,
"mean_token_accuracy": 0.9881435281038284,
"num_tokens": 6848066.0,
"step": 1275
},
{
"epoch": 3.1327700663850333,
"grad_norm": 0.2123444378376007,
"learning_rate": 0.0001827720933695173,
"loss": 0.0552,
"mean_token_accuracy": 0.9860709112882614,
"num_tokens": 6975273.0,
"step": 1300
},
{
"epoch": 3.1931200965600484,
"grad_norm": 0.11279409378767014,
"learning_rate": 0.00017867882079145627,
"loss": 0.0455,
"mean_token_accuracy": 0.9881318390369416,
"num_tokens": 7117546.0,
"step": 1325
},
{
"epoch": 3.2534701267350634,
"grad_norm": 0.177442729473114,
"learning_rate": 0.00017456325671683724,
"loss": 0.0546,
"mean_token_accuracy": 0.9862780523300171,
"num_tokens": 7244543.0,
"step": 1350
},
{
"epoch": 3.3138201569100785,
"grad_norm": 0.10142289847135544,
"learning_rate": 0.00017042860009456638,
"loss": 0.0445,
"mean_token_accuracy": 0.988534786105156,
"num_tokens": 7384967.0,
"step": 1375
},
{
"epoch": 3.3741701870850935,
"grad_norm": 0.15665322542190552,
"learning_rate": 0.00016627806471382066,
"loss": 0.0532,
"mean_token_accuracy": 0.9868290704488755,
"num_tokens": 7509226.0,
"step": 1400
},
{
"epoch": 3.4345202172601086,
"grad_norm": 0.15646246075630188,
"learning_rate": 0.00016211487670603078,
"loss": 0.0456,
"mean_token_accuracy": 0.9882669430971146,
"num_tokens": 7648911.0,
"step": 1425
},
{
"epoch": 3.4948702474351236,
"grad_norm": 0.16921687126159668,
"learning_rate": 0.0001579422720372715,
"loss": 0.0568,
"mean_token_accuracy": 0.9850279080867768,
"num_tokens": 7777925.0,
"step": 1450
},
{
"epoch": 3.5552202776101387,
"grad_norm": 0.10589733719825745,
"learning_rate": 0.00015376349399300745,
"loss": 0.0446,
"mean_token_accuracy": 0.9881089746952056,
"num_tokens": 7922053.0,
"step": 1475
},
{
"epoch": 3.6155703077851538,
"grad_norm": 0.2955225110054016,
"learning_rate": 0.0001495817906571492,
"loss": 0.0544,
"mean_token_accuracy": 0.9862786346673965,
"num_tokens": 8049528.0,
"step": 1500
},
{
"epoch": 3.675920337960169,
"grad_norm": 0.0742836520075798,
"learning_rate": 0.00014540041238738055,
"loss": 0.0456,
"mean_token_accuracy": 0.9878502124547959,
"num_tokens": 8190743.0,
"step": 1525
},
{
"epoch": 3.736270368135184,
"grad_norm": 0.12437008321285248,
"learning_rate": 0.00014122260928871734,
"loss": 0.0535,
"mean_token_accuracy": 0.9863007247447968,
"num_tokens": 8316676.0,
"step": 1550
},
{
"epoch": 3.796620398310199,
"grad_norm": 0.08342117071151733,
"learning_rate": 0.00013705162868726396,
"loss": 0.0447,
"mean_token_accuracy": 0.9884078222513198,
"num_tokens": 8457403.0,
"step": 1575
},
{
"epoch": 3.856970428485214,
"grad_norm": 0.17910127341747284,
"learning_rate": 0.00013289071260612855,
"loss": 0.052,
"mean_token_accuracy": 0.9868350481986999,
"num_tokens": 8583976.0,
"step": 1600
},
{
"epoch": 3.9173204586602295,
"grad_norm": 0.06760319322347641,
"learning_rate": 0.00012874309524546083,
"loss": 0.045,
"mean_token_accuracy": 0.9878969532251358,
"num_tokens": 8727702.0,
"step": 1625
},
{
"epoch": 3.9776704888352445,
"grad_norm": 0.15349148213863373,
"learning_rate": 0.00012461200046857084,
"loss": 0.0508,
"mean_token_accuracy": 0.987232791185379,
"num_tokens": 8849683.0,
"step": 1650
},
{
"epoch": 4.0,
"eval_loss": 0.0635647177696228,
"eval_mean_token_accuracy": 0.9845431846541327,
"eval_num_tokens": 8894052.0,
"eval_runtime": 60.4472,
"eval_samples_per_second": 6.105,
"eval_steps_per_second": 3.061,
"step": 1660
},
{
"epoch": 4.036210018105009,
"grad_norm": 0.1430218666791916,
"learning_rate": 0.00012050063929608123,
"loss": 0.0441,
"mean_token_accuracy": 0.9887785659622901,
"num_tokens": 8992417.0,
"step": 1675
},
{
"epoch": 4.096560048280024,
"grad_norm": 0.08819396048784256,
"learning_rate": 0.0001164122074100633,
"loss": 0.0406,
"mean_token_accuracy": 0.9898108446598053,
"num_tokens": 9122219.0,
"step": 1700
},
{
"epoch": 4.15691007845504,
"grad_norm": 0.08506345748901367,
"learning_rate": 0.00011234988267009415,
"loss": 0.0457,
"mean_token_accuracy": 0.9884944796562195,
"num_tokens": 9262178.0,
"step": 1725
},
{
"epoch": 4.217260108630055,
"grad_norm": 0.08111756294965744,
"learning_rate": 0.00010831682264316787,
"loss": 0.0416,
"mean_token_accuracy": 0.989647062420845,
"num_tokens": 9391026.0,
"step": 1750
},
{
"epoch": 4.27761013880507,
"grad_norm": 0.07644202560186386,
"learning_rate": 0.00010431616214937911,
"loss": 0.046,
"mean_token_accuracy": 0.9881355553865433,
"num_tokens": 9531921.0,
"step": 1775
},
{
"epoch": 4.337960168980085,
"grad_norm": 0.03971414268016815,
"learning_rate": 0.00010035101082528777,
"loss": 0.0413,
"mean_token_accuracy": 0.9894955778121948,
"num_tokens": 9661664.0,
"step": 1800
},
{
"epoch": 4.3983101991551,
"grad_norm": 0.07305199652910233,
"learning_rate": 9.642445070685809e-05,
"loss": 0.0435,
"mean_token_accuracy": 0.9884718316793442,
"num_tokens": 9801214.0,
"step": 1825
},
{
"epoch": 4.458660229330115,
"grad_norm": 0.07561074942350388,
"learning_rate": 9.253953383385157e-05,
"loss": 0.0411,
"mean_token_accuracy": 0.9890134006738662,
"num_tokens": 9929511.0,
"step": 1850
},
{
"epoch": 4.51901025950513,
"grad_norm": 0.12152893096208572,
"learning_rate": 8.869927987753459e-05,
"loss": 0.0442,
"mean_token_accuracy": 0.9886808878183365,
"num_tokens": 10069489.0,
"step": 1875
},
{
"epoch": 4.579360289680145,
"grad_norm": 0.05834532529115677,
"learning_rate": 8.490667379354661e-05,
"loss": 0.0417,
"mean_token_accuracy": 0.9894009435176849,
"num_tokens": 10197956.0,
"step": 1900
},
{
"epoch": 4.63971031985516,
"grad_norm": 0.08154677599668503,
"learning_rate": 8.116466350175079e-05,
"loss": 0.0437,
"mean_token_accuracy": 0.9884669744968414,
"num_tokens": 10335860.0,
"step": 1925
},
{
"epoch": 4.700060350030175,
"grad_norm": 0.07408758997917175,
"learning_rate": 7.747615759487304e-05,
"loss": 0.0411,
"mean_token_accuracy": 0.989289864897728,
"num_tokens": 10464303.0,
"step": 1950
},
{
"epoch": 4.76041038020519,
"grad_norm": 0.0779808983206749,
"learning_rate": 7.38440230777085e-05,
"loss": 0.0453,
"mean_token_accuracy": 0.9880505865812301,
"num_tokens": 10601511.0,
"step": 1975
},
{
"epoch": 4.820760410380205,
"grad_norm": 0.046579256653785706,
"learning_rate": 7.027108313865378e-05,
"loss": 0.0401,
"mean_token_accuracy": 0.9896253395080566,
"num_tokens": 10732156.0,
"step": 2000
},
{
"epoch": 4.88111044055522,
"grad_norm": 0.07918152213096619,
"learning_rate": 6.676011495529687e-05,
"loss": 0.042,
"mean_token_accuracy": 0.9889346659183502,
"num_tokens": 10873235.0,
"step": 2025
},
{
"epoch": 4.941460470730235,
"grad_norm": 0.04908803850412369,
"learning_rate": 6.331384753577056e-05,
"loss": 0.0408,
"mean_token_accuracy": 0.9895875388383866,
"num_tokens": 11001827.0,
"step": 2050
},
{
"epoch": 5.0,
"grad_norm": 0.22838693857192993,
"learning_rate": 5.993495959754631e-05,
"loss": 0.0452,
"mean_token_accuracy": 0.9885991817897128,
"num_tokens": 11117565.0,
"step": 2075
},
{
"epoch": 5.0,
"eval_loss": 0.06391309201717377,
"eval_mean_token_accuracy": 0.9852847150854163,
"eval_num_tokens": 11117565.0,
"eval_runtime": 60.3576,
"eval_samples_per_second": 6.114,
"eval_steps_per_second": 3.065,
"step": 2075
}
],
"logging_steps": 25,
"max_steps": 2905,
"num_input_tokens_seen": 0,
"num_train_epochs": 7,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 4.8080321362273075e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}