diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,5026 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5000436033836225, + "eval_steps": 100, + "global_step": 5734, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0008720676724513823, + "grad_norm": 12.805307388305664, + "learning_rate": 3.4843205574912896e-07, + "loss": 7.9406, + "mean_token_accuracy": 0.02709148731082678, + "step": 10 + }, + { + "epoch": 0.0017441353449027645, + "grad_norm": 11.99422550201416, + "learning_rate": 6.968641114982579e-07, + "loss": 7.9062, + "mean_token_accuracy": 0.029146282467991114, + "step": 20 + }, + { + "epoch": 0.002616203017354147, + "grad_norm": 10.550246238708496, + "learning_rate": 1.045296167247387e-06, + "loss": 7.9875, + "mean_token_accuracy": 0.027421722188591957, + "step": 30 + }, + { + "epoch": 0.003488270689805529, + "grad_norm": 12.254673957824707, + "learning_rate": 1.3937282229965158e-06, + "loss": 7.8672, + "mean_token_accuracy": 0.028926125168800353, + "step": 40 + }, + { + "epoch": 0.004360338362256911, + "grad_norm": 10.699244499206543, + "learning_rate": 1.742160278745645e-06, + "loss": 7.8734, + "mean_token_accuracy": 0.028449119441211222, + "step": 50 + }, + { + "epoch": 0.005232406034708294, + "grad_norm": 11.096329689025879, + "learning_rate": 2.090592334494774e-06, + "loss": 7.8344, + "mean_token_accuracy": 0.03172700610011816, + "step": 60 + }, + { + "epoch": 0.0061044737071596755, + "grad_norm": 9.731986999511719, + "learning_rate": 2.4390243902439027e-06, + "loss": 7.6797, + "mean_token_accuracy": 0.03680283790454268, + "step": 70 + }, + { + "epoch": 0.006976541379611058, + "grad_norm": 9.390852928161621, + "learning_rate": 2.7874564459930316e-06, + "loss": 7.5891, + "mean_token_accuracy": 0.04033757336437702, + "step": 80 + }, + { + "epoch": 0.00784860905206244, + "grad_norm": 6.090016841888428, + "learning_rate": 3.13588850174216e-06, + "loss": 7.4156, + "mean_token_accuracy": 0.047504892013967036, + "step": 90 + }, + { + "epoch": 0.008720676724513822, + "grad_norm": 7.438959121704102, + "learning_rate": 3.48432055749129e-06, + "loss": 7.2484, + "mean_token_accuracy": 0.049645303003489974, + "step": 100 + }, + { + "epoch": 0.008720676724513822, + "eval_runtime": 4.1519, + "eval_samples_per_second": 264.214, + "eval_steps_per_second": 66.234, + "step": 100 + }, + { + "epoch": 0.009592744396965204, + "grad_norm": 8.58280086517334, + "learning_rate": 3.832752613240418e-06, + "loss": 7.2125, + "mean_token_accuracy": 0.05371819958090782, + "step": 110 + }, + { + "epoch": 0.010464812069416587, + "grad_norm": 9.017817497253418, + "learning_rate": 4.181184668989548e-06, + "loss": 7.1484, + "mean_token_accuracy": 0.05711839552968741, + "step": 120 + }, + { + "epoch": 0.01133687974186797, + "grad_norm": 6.21274995803833, + "learning_rate": 4.529616724738676e-06, + "loss": 6.9734, + "mean_token_accuracy": 0.05999266132712364, + "step": 130 + }, + { + "epoch": 0.012208947414319351, + "grad_norm": 12.326318740844727, + "learning_rate": 4.8780487804878055e-06, + "loss": 6.8844, + "mean_token_accuracy": 0.05292318966239691, + "step": 140 + }, + { + "epoch": 0.013081015086770733, + "grad_norm": 5.085020542144775, + "learning_rate": 5.226480836236935e-06, + "loss": 6.7891, + "mean_token_accuracy": 0.05583414919674397, + "step": 150 + }, + { + "epoch": 0.013953082759222116, + "grad_norm": 5.138378620147705, + "learning_rate": 5.574912891986063e-06, + "loss": 6.7141, + "mean_token_accuracy": 0.05869618393480778, + "step": 160 + }, + { + "epoch": 0.014825150431673498, + "grad_norm": 5.108981132507324, + "learning_rate": 5.923344947735193e-06, + "loss": 6.7766, + "mean_token_accuracy": 0.06010273937135935, + "step": 170 + }, + { + "epoch": 0.01569721810412488, + "grad_norm": 5.037508964538574, + "learning_rate": 6.27177700348432e-06, + "loss": 6.6297, + "mean_token_accuracy": 0.060934442281723025, + "step": 180 + }, + { + "epoch": 0.01656928577657626, + "grad_norm": 4.582004070281982, + "learning_rate": 6.62020905923345e-06, + "loss": 6.5812, + "mean_token_accuracy": 0.06325831692665815, + "step": 190 + }, + { + "epoch": 0.017441353449027645, + "grad_norm": 3.924436092376709, + "learning_rate": 6.96864111498258e-06, + "loss": 6.5187, + "mean_token_accuracy": 0.06273238714784383, + "step": 200 + }, + { + "epoch": 0.017441353449027645, + "eval_runtime": 4.1371, + "eval_samples_per_second": 265.159, + "eval_steps_per_second": 66.471, + "step": 200 + }, + { + "epoch": 0.018313421121479028, + "grad_norm": 6.232868194580078, + "learning_rate": 7.317073170731707e-06, + "loss": 6.5016, + "mean_token_accuracy": 0.06371086072176695, + "step": 210 + }, + { + "epoch": 0.019185488793930408, + "grad_norm": 8.982894897460938, + "learning_rate": 7.665505226480837e-06, + "loss": 6.3937, + "mean_token_accuracy": 0.06835861038416624, + "step": 220 + }, + { + "epoch": 0.02005755646638179, + "grad_norm": 4.787600040435791, + "learning_rate": 8.013937282229966e-06, + "loss": 6.3688, + "mean_token_accuracy": 0.06887230966240168, + "step": 230 + }, + { + "epoch": 0.020929624138833175, + "grad_norm": 4.649842739105225, + "learning_rate": 8.362369337979095e-06, + "loss": 6.4219, + "mean_token_accuracy": 0.06467710342258215, + "step": 240 + }, + { + "epoch": 0.021801691811284555, + "grad_norm": 4.994523048400879, + "learning_rate": 8.710801393728223e-06, + "loss": 6.3141, + "mean_token_accuracy": 0.06988747492432594, + "step": 250 + }, + { + "epoch": 0.02267375948373594, + "grad_norm": 6.446099758148193, + "learning_rate": 9.059233449477352e-06, + "loss": 6.3406, + "mean_token_accuracy": 0.07202788610011339, + "step": 260 + }, + { + "epoch": 0.023545827156187322, + "grad_norm": 7.308241844177246, + "learning_rate": 9.407665505226482e-06, + "loss": 6.25, + "mean_token_accuracy": 0.07442514672875404, + "step": 270 + }, + { + "epoch": 0.024417894828638702, + "grad_norm": 6.441298484802246, + "learning_rate": 9.756097560975611e-06, + "loss": 6.2703, + "mean_token_accuracy": 0.07792319059371948, + "step": 280 + }, + { + "epoch": 0.025289962501090085, + "grad_norm": 12.88493824005127, + "learning_rate": 1.0104529616724739e-05, + "loss": 6.2531, + "mean_token_accuracy": 0.07635763306170702, + "step": 290 + }, + { + "epoch": 0.026162030173541465, + "grad_norm": 9.991170883178711, + "learning_rate": 1.045296167247387e-05, + "loss": 6.1781, + "mean_token_accuracy": 0.07740949131548405, + "step": 300 + }, + { + "epoch": 0.026162030173541465, + "eval_runtime": 4.1328, + "eval_samples_per_second": 265.438, + "eval_steps_per_second": 66.541, + "step": 300 + }, + { + "epoch": 0.02703409784599285, + "grad_norm": 8.042091369628906, + "learning_rate": 1.0801393728222997e-05, + "loss": 6.2328, + "mean_token_accuracy": 0.07506115455180407, + "step": 310 + }, + { + "epoch": 0.027906165518444232, + "grad_norm": 8.354701042175293, + "learning_rate": 1.1149825783972127e-05, + "loss": 6.1344, + "mean_token_accuracy": 0.08287671245634556, + "step": 320 + }, + { + "epoch": 0.028778233190895612, + "grad_norm": 6.962996482849121, + "learning_rate": 1.1498257839721256e-05, + "loss": 6.1297, + "mean_token_accuracy": 0.07956213317811489, + "step": 330 + }, + { + "epoch": 0.029650300863346996, + "grad_norm": 6.655036926269531, + "learning_rate": 1.1846689895470385e-05, + "loss": 6.075, + "mean_token_accuracy": 0.09151174090802669, + "step": 340 + }, + { + "epoch": 0.03052236853579838, + "grad_norm": 7.6797027587890625, + "learning_rate": 1.2195121951219513e-05, + "loss": 6.0953, + "mean_token_accuracy": 0.09633072409778834, + "step": 350 + }, + { + "epoch": 0.03139443620824976, + "grad_norm": 11.0787992477417, + "learning_rate": 1.254355400696864e-05, + "loss": 6.1141, + "mean_token_accuracy": 0.10138209424912929, + "step": 360 + }, + { + "epoch": 0.03226650388070114, + "grad_norm": 9.738404273986816, + "learning_rate": 1.2891986062717772e-05, + "loss": 6.1031, + "mean_token_accuracy": 0.0869863012805581, + "step": 370 + }, + { + "epoch": 0.03313857155315252, + "grad_norm": 11.745001792907715, + "learning_rate": 1.32404181184669e-05, + "loss": 6.0656, + "mean_token_accuracy": 0.08767123371362687, + "step": 380 + }, + { + "epoch": 0.034010639225603906, + "grad_norm": 10.759794235229492, + "learning_rate": 1.3588850174216028e-05, + "loss": 5.95, + "mean_token_accuracy": 0.1073140885680914, + "step": 390 + }, + { + "epoch": 0.03488270689805529, + "grad_norm": 11.453364372253418, + "learning_rate": 1.393728222996516e-05, + "loss": 5.8797, + "mean_token_accuracy": 0.11714774928987026, + "step": 400 + }, + { + "epoch": 0.03488270689805529, + "eval_runtime": 4.1324, + "eval_samples_per_second": 265.463, + "eval_steps_per_second": 66.547, + "step": 400 + }, + { + "epoch": 0.03575477457050667, + "grad_norm": 10.520788192749023, + "learning_rate": 1.4285714285714287e-05, + "loss": 5.9484, + "mean_token_accuracy": 0.10590753369033337, + "step": 410 + }, + { + "epoch": 0.036626842242958056, + "grad_norm": 9.388611793518066, + "learning_rate": 1.4634146341463415e-05, + "loss": 5.8266, + "mean_token_accuracy": 0.11970401257276535, + "step": 420 + }, + { + "epoch": 0.03749890991540943, + "grad_norm": 9.268442153930664, + "learning_rate": 1.4982578397212544e-05, + "loss": 5.8312, + "mean_token_accuracy": 0.11612035147845745, + "step": 430 + }, + { + "epoch": 0.038370977587860816, + "grad_norm": 9.636759757995605, + "learning_rate": 1.5331010452961673e-05, + "loss": 5.7812, + "mean_token_accuracy": 0.12024217247962951, + "step": 440 + }, + { + "epoch": 0.0392430452603122, + "grad_norm": 9.492960929870605, + "learning_rate": 1.5679442508710803e-05, + "loss": 5.775, + "mean_token_accuracy": 0.1205479446798563, + "step": 450 + }, + { + "epoch": 0.04011511293276358, + "grad_norm": 12.608254432678223, + "learning_rate": 1.6027874564459932e-05, + "loss": 5.7266, + "mean_token_accuracy": 0.12345890402793884, + "step": 460 + }, + { + "epoch": 0.040987180605214966, + "grad_norm": 11.828970909118652, + "learning_rate": 1.637630662020906e-05, + "loss": 5.6984, + "mean_token_accuracy": 0.13238747492432595, + "step": 470 + }, + { + "epoch": 0.04185924827766635, + "grad_norm": 9.523595809936523, + "learning_rate": 1.672473867595819e-05, + "loss": 5.6797, + "mean_token_accuracy": 0.13346379697322847, + "step": 480 + }, + { + "epoch": 0.042731315950117726, + "grad_norm": 9.293509483337402, + "learning_rate": 1.7073170731707317e-05, + "loss": 5.6125, + "mean_token_accuracy": 0.1267490204423666, + "step": 490 + }, + { + "epoch": 0.04360338362256911, + "grad_norm": 8.775671005249023, + "learning_rate": 1.7421602787456446e-05, + "loss": 5.6859, + "mean_token_accuracy": 0.12254158593714237, + "step": 500 + }, + { + "epoch": 0.04360338362256911, + "eval_runtime": 4.138, + "eval_samples_per_second": 265.106, + "eval_steps_per_second": 66.458, + "step": 500 + }, + { + "epoch": 0.04447545129502049, + "grad_norm": 10.688274383544922, + "learning_rate": 1.7770034843205575e-05, + "loss": 5.5703, + "mean_token_accuracy": 0.135371820256114, + "step": 510 + }, + { + "epoch": 0.04534751896747188, + "grad_norm": 10.328093528747559, + "learning_rate": 1.8118466898954705e-05, + "loss": 5.5297, + "mean_token_accuracy": 0.13945694863796235, + "step": 520 + }, + { + "epoch": 0.04621958663992326, + "grad_norm": 13.896836280822754, + "learning_rate": 1.8466898954703834e-05, + "loss": 5.5625, + "mean_token_accuracy": 0.13023483343422412, + "step": 530 + }, + { + "epoch": 0.047091654312374644, + "grad_norm": 9.42554759979248, + "learning_rate": 1.8815331010452963e-05, + "loss": 5.5469, + "mean_token_accuracy": 0.1324975538998842, + "step": 540 + }, + { + "epoch": 0.04796372198482602, + "grad_norm": 13.343840599060059, + "learning_rate": 1.9163763066202093e-05, + "loss": 5.4156, + "mean_token_accuracy": 0.13824608661234378, + "step": 550 + }, + { + "epoch": 0.048835789657277404, + "grad_norm": 10.667329788208008, + "learning_rate": 1.9512195121951222e-05, + "loss": 5.4641, + "mean_token_accuracy": 0.13923679143190384, + "step": 560 + }, + { + "epoch": 0.04970785732972879, + "grad_norm": 9.04549789428711, + "learning_rate": 1.9860627177700348e-05, + "loss": 5.3828, + "mean_token_accuracy": 0.14715019688010217, + "step": 570 + }, + { + "epoch": 0.05057992500218017, + "grad_norm": 11.892061233520508, + "learning_rate": 1.9999933277491715e-05, + "loss": 5.2531, + "mean_token_accuracy": 0.15702054798603057, + "step": 580 + }, + { + "epoch": 0.051451992674631554, + "grad_norm": 8.392095565795898, + "learning_rate": 1.999952553205438e-05, + "loss": 5.2562, + "mean_token_accuracy": 0.15291095860302448, + "step": 590 + }, + { + "epoch": 0.05232406034708293, + "grad_norm": 9.140569686889648, + "learning_rate": 1.999874712433585e-05, + "loss": 5.175, + "mean_token_accuracy": 0.16651174128055574, + "step": 600 + }, + { + "epoch": 0.05232406034708293, + "eval_runtime": 4.1345, + "eval_samples_per_second": 265.329, + "eval_steps_per_second": 66.514, + "step": 600 + }, + { + "epoch": 0.053196128019534314, + "grad_norm": 7.695169925689697, + "learning_rate": 1.999759808319013e-05, + "loss": 5.1359, + "mean_token_accuracy": 0.16329500935971736, + "step": 610 + }, + { + "epoch": 0.0540681956919857, + "grad_norm": 8.865972518920898, + "learning_rate": 1.9996078451209863e-05, + "loss": 5.2344, + "mean_token_accuracy": 0.1484344407916069, + "step": 620 + }, + { + "epoch": 0.05494026336443708, + "grad_norm": 8.918686866760254, + "learning_rate": 1.999418828472475e-05, + "loss": 5.1109, + "mean_token_accuracy": 0.1650440316647291, + "step": 630 + }, + { + "epoch": 0.055812331036888464, + "grad_norm": 9.925086975097656, + "learning_rate": 1.9991927653799458e-05, + "loss": 5.1516, + "mean_token_accuracy": 0.15656800717115402, + "step": 640 + }, + { + "epoch": 0.05668439870933985, + "grad_norm": 8.371522903442383, + "learning_rate": 1.998929664223102e-05, + "loss": 5.0891, + "mean_token_accuracy": 0.15861056968569756, + "step": 650 + }, + { + "epoch": 0.057556466381791224, + "grad_norm": 9.309918403625488, + "learning_rate": 1.9986295347545738e-05, + "loss": 4.9969, + "mean_token_accuracy": 0.17133072391152382, + "step": 660 + }, + { + "epoch": 0.05842853405424261, + "grad_norm": 7.434914588928223, + "learning_rate": 1.998292388099557e-05, + "loss": 5.0656, + "mean_token_accuracy": 0.16520303413271903, + "step": 670 + }, + { + "epoch": 0.05930060172669399, + "grad_norm": 8.671019554138184, + "learning_rate": 1.9979182367553994e-05, + "loss": 4.9297, + "mean_token_accuracy": 0.17629647701978685, + "step": 680 + }, + { + "epoch": 0.060172669399145375, + "grad_norm": 7.99770450592041, + "learning_rate": 1.997507094591137e-05, + "loss": 4.8984, + "mean_token_accuracy": 0.17396037131547928, + "step": 690 + }, + { + "epoch": 0.06104473707159676, + "grad_norm": 8.327537536621094, + "learning_rate": 1.9970589768469833e-05, + "loss": 4.9406, + "mean_token_accuracy": 0.17912181913852693, + "step": 700 + }, + { + "epoch": 0.06104473707159676, + "eval_runtime": 4.1319, + "eval_samples_per_second": 265.498, + "eval_steps_per_second": 66.556, + "step": 700 + }, + { + "epoch": 0.06191680474404814, + "grad_norm": 6.633450031280518, + "learning_rate": 1.996573900133761e-05, + "loss": 4.7891, + "mean_token_accuracy": 0.17581947073340415, + "step": 710 + }, + { + "epoch": 0.06278887241649952, + "grad_norm": 8.022377014160156, + "learning_rate": 1.996051882432286e-05, + "loss": 4.7406, + "mean_token_accuracy": 0.19094911962747574, + "step": 720 + }, + { + "epoch": 0.0636609400889509, + "grad_norm": 7.844242095947266, + "learning_rate": 1.995492943092705e-05, + "loss": 4.6953, + "mean_token_accuracy": 0.18763453960418702, + "step": 730 + }, + { + "epoch": 0.06453300776140228, + "grad_norm": 6.448212623596191, + "learning_rate": 1.9948971028337737e-05, + "loss": 4.6922, + "mean_token_accuracy": 0.19351761266589165, + "step": 740 + }, + { + "epoch": 0.06540507543385367, + "grad_norm": 6.086342811584473, + "learning_rate": 1.9942643837420904e-05, + "loss": 4.6172, + "mean_token_accuracy": 0.20698385685682297, + "step": 750 + }, + { + "epoch": 0.06627714310630504, + "grad_norm": 7.189157009124756, + "learning_rate": 1.9935948092712792e-05, + "loss": 4.5062, + "mean_token_accuracy": 0.21434687003493308, + "step": 760 + }, + { + "epoch": 0.06714921077875644, + "grad_norm": 7.056966781616211, + "learning_rate": 1.992888404241117e-05, + "loss": 4.6781, + "mean_token_accuracy": 0.18928571343421935, + "step": 770 + }, + { + "epoch": 0.06802127845120781, + "grad_norm": 6.542293071746826, + "learning_rate": 1.992145194836616e-05, + "loss": 4.5484, + "mean_token_accuracy": 0.20753424614667892, + "step": 780 + }, + { + "epoch": 0.0688933461236592, + "grad_norm": 6.556288719177246, + "learning_rate": 1.9913652086070535e-05, + "loss": 4.4891, + "mean_token_accuracy": 0.20863502994179725, + "step": 790 + }, + { + "epoch": 0.06976541379611058, + "grad_norm": 7.45630407333374, + "learning_rate": 1.9905484744649484e-05, + "loss": 4.5062, + "mean_token_accuracy": 0.20621330812573432, + "step": 800 + }, + { + "epoch": 0.06976541379611058, + "eval_runtime": 4.1297, + "eval_samples_per_second": 265.635, + "eval_steps_per_second": 66.59, + "step": 800 + }, + { + "epoch": 0.07063748146856196, + "grad_norm": 6.321140766143799, + "learning_rate": 1.989695022684991e-05, + "loss": 4.3914, + "mean_token_accuracy": 0.21566780731081964, + "step": 810 + }, + { + "epoch": 0.07150954914101335, + "grad_norm": 6.933566093444824, + "learning_rate": 1.988804884902921e-05, + "loss": 4.343, + "mean_token_accuracy": 0.23220401257276535, + "step": 820 + }, + { + "epoch": 0.07238161681346472, + "grad_norm": 6.512579441070557, + "learning_rate": 1.9878780941143538e-05, + "loss": 4.3508, + "mean_token_accuracy": 0.21815068647265434, + "step": 830 + }, + { + "epoch": 0.07325368448591611, + "grad_norm": 6.477738857269287, + "learning_rate": 1.9869146846735576e-05, + "loss": 4.2539, + "mean_token_accuracy": 0.2343199595808983, + "step": 840 + }, + { + "epoch": 0.07412575215836749, + "grad_norm": 5.379225730895996, + "learning_rate": 1.985914692292182e-05, + "loss": 4.2922, + "mean_token_accuracy": 0.23241193890571593, + "step": 850 + }, + { + "epoch": 0.07499781983081887, + "grad_norm": 5.749763488769531, + "learning_rate": 1.9848781540379312e-05, + "loss": 4.2625, + "mean_token_accuracy": 0.241169273853302, + "step": 860 + }, + { + "epoch": 0.07586988750327026, + "grad_norm": 5.9795732498168945, + "learning_rate": 1.983805108333191e-05, + "loss": 4.2883, + "mean_token_accuracy": 0.238918786495924, + "step": 870 + }, + { + "epoch": 0.07674195517572163, + "grad_norm": 5.839418888092041, + "learning_rate": 1.9826955949536062e-05, + "loss": 4.1148, + "mean_token_accuracy": 0.24826320856809617, + "step": 880 + }, + { + "epoch": 0.07761402284817302, + "grad_norm": 5.555854797363281, + "learning_rate": 1.9815496550266036e-05, + "loss": 4.1461, + "mean_token_accuracy": 0.2496330738067627, + "step": 890 + }, + { + "epoch": 0.0784860905206244, + "grad_norm": 6.0836005210876465, + "learning_rate": 1.98036733102987e-05, + "loss": 4.2266, + "mean_token_accuracy": 0.23541686460375785, + "step": 900 + }, + { + "epoch": 0.0784860905206244, + "eval_runtime": 4.1312, + "eval_samples_per_second": 265.543, + "eval_steps_per_second": 66.567, + "step": 900 + }, + { + "epoch": 0.07935815819307579, + "grad_norm": 5.527903079986572, + "learning_rate": 1.979148666789775e-05, + "loss": 4.1281, + "mean_token_accuracy": 0.2536692745983601, + "step": 910 + }, + { + "epoch": 0.08023022586552717, + "grad_norm": 4.603416919708252, + "learning_rate": 1.9778937074797494e-05, + "loss": 4.0227, + "mean_token_accuracy": 0.2580249719321728, + "step": 920 + }, + { + "epoch": 0.08110229353797854, + "grad_norm": 5.568511962890625, + "learning_rate": 1.976602499618608e-05, + "loss": 3.9992, + "mean_token_accuracy": 0.26352739706635475, + "step": 930 + }, + { + "epoch": 0.08197436121042993, + "grad_norm": 6.003087043762207, + "learning_rate": 1.9752750910688278e-05, + "loss": 4.0109, + "mean_token_accuracy": 0.2687255389988422, + "step": 940 + }, + { + "epoch": 0.08284642888288131, + "grad_norm": 5.8560357093811035, + "learning_rate": 1.9739115310347698e-05, + "loss": 3.9531, + "mean_token_accuracy": 0.2695939376950264, + "step": 950 + }, + { + "epoch": 0.0837184965553327, + "grad_norm": 6.488517761230469, + "learning_rate": 1.972511870060861e-05, + "loss": 3.9805, + "mean_token_accuracy": 0.2643835633993149, + "step": 960 + }, + { + "epoch": 0.08459056422778408, + "grad_norm": 5.626370429992676, + "learning_rate": 1.9710761600297147e-05, + "loss": 3.9367, + "mean_token_accuracy": 0.27651663646101954, + "step": 970 + }, + { + "epoch": 0.08546263190023545, + "grad_norm": 5.2302937507629395, + "learning_rate": 1.9696044541602126e-05, + "loss": 3.9945, + "mean_token_accuracy": 0.2608365938067436, + "step": 980 + }, + { + "epoch": 0.08633469957268684, + "grad_norm": 5.086008548736572, + "learning_rate": 1.968096807005528e-05, + "loss": 3.8375, + "mean_token_accuracy": 0.2929182954132557, + "step": 990 + }, + { + "epoch": 0.08720676724513822, + "grad_norm": 4.8101301193237305, + "learning_rate": 1.966553274451106e-05, + "loss": 3.7711, + "mean_token_accuracy": 0.2986668303608894, + "step": 1000 + }, + { + "epoch": 0.08720676724513822, + "eval_runtime": 4.1333, + "eval_samples_per_second": 265.405, + "eval_steps_per_second": 66.533, + "step": 1000 + }, + { + "epoch": 0.08807883491758961, + "grad_norm": 4.364314556121826, + "learning_rate": 1.964973913712591e-05, + "loss": 3.8, + "mean_token_accuracy": 0.2898727975785732, + "step": 1010 + }, + { + "epoch": 0.08895090259004099, + "grad_norm": 5.133767604827881, + "learning_rate": 1.9633587833337064e-05, + "loss": 3.7023, + "mean_token_accuracy": 0.29648972749710084, + "step": 1020 + }, + { + "epoch": 0.08982297026249236, + "grad_norm": 4.910743713378906, + "learning_rate": 1.961707943184083e-05, + "loss": 3.6938, + "mean_token_accuracy": 0.29639187902212144, + "step": 1030 + }, + { + "epoch": 0.09069503793494375, + "grad_norm": 4.70925760269165, + "learning_rate": 1.9600214544570432e-05, + "loss": 3.6437, + "mean_token_accuracy": 0.31215753555297854, + "step": 1040 + }, + { + "epoch": 0.09156710560739513, + "grad_norm": 5.305742263793945, + "learning_rate": 1.958299379667328e-05, + "loss": 3.6883, + "mean_token_accuracy": 0.29545009732246397, + "step": 1050 + }, + { + "epoch": 0.09243917327984652, + "grad_norm": 4.568931579589844, + "learning_rate": 1.9565417826487835e-05, + "loss": 3.5703, + "mean_token_accuracy": 0.32718933522701266, + "step": 1060 + }, + { + "epoch": 0.0933112409522979, + "grad_norm": 4.4945878982543945, + "learning_rate": 1.9547487285519922e-05, + "loss": 3.7023, + "mean_token_accuracy": 0.3070924893021584, + "step": 1070 + }, + { + "epoch": 0.09418330862474929, + "grad_norm": 5.122004985809326, + "learning_rate": 1.952920283841861e-05, + "loss": 3.6258, + "mean_token_accuracy": 0.3140288650989532, + "step": 1080 + }, + { + "epoch": 0.09505537629720066, + "grad_norm": 4.557742595672607, + "learning_rate": 1.9510565162951538e-05, + "loss": 3.5555, + "mean_token_accuracy": 0.31724559515714645, + "step": 1090 + }, + { + "epoch": 0.09592744396965204, + "grad_norm": 4.375725269317627, + "learning_rate": 1.9491574949979814e-05, + "loss": 3.5984, + "mean_token_accuracy": 0.3202910989522934, + "step": 1100 + }, + { + "epoch": 0.09592744396965204, + "eval_runtime": 4.1261, + "eval_samples_per_second": 265.87, + "eval_steps_per_second": 66.649, + "step": 1100 + }, + { + "epoch": 0.09679951164210343, + "grad_norm": 4.4627580642700195, + "learning_rate": 1.9472232903432406e-05, + "loss": 3.532, + "mean_token_accuracy": 0.3335127204656601, + "step": 1110 + }, + { + "epoch": 0.09767157931455481, + "grad_norm": 4.1603922843933105, + "learning_rate": 1.945253974028004e-05, + "loss": 3.5086, + "mean_token_accuracy": 0.33082191944122313, + "step": 1120 + }, + { + "epoch": 0.0985436469870062, + "grad_norm": 4.045429229736328, + "learning_rate": 1.9432496190508633e-05, + "loss": 3.4445, + "mean_token_accuracy": 0.33649706095457077, + "step": 1130 + }, + { + "epoch": 0.09941571465945757, + "grad_norm": 4.346405982971191, + "learning_rate": 1.941210299709222e-05, + "loss": 3.4883, + "mean_token_accuracy": 0.3298556759953499, + "step": 1140 + }, + { + "epoch": 0.10028778233190895, + "grad_norm": 3.910358190536499, + "learning_rate": 1.9391360915965426e-05, + "loss": 3.4234, + "mean_token_accuracy": 0.3448018580675125, + "step": 1150 + }, + { + "epoch": 0.10115985000436034, + "grad_norm": 4.750843524932861, + "learning_rate": 1.9370270715995447e-05, + "loss": 3.5266, + "mean_token_accuracy": 0.3246086061000824, + "step": 1160 + }, + { + "epoch": 0.10203191767681172, + "grad_norm": 4.294528007507324, + "learning_rate": 1.934883317895354e-05, + "loss": 3.3664, + "mean_token_accuracy": 0.35226272195577624, + "step": 1170 + }, + { + "epoch": 0.10290398534926311, + "grad_norm": 4.865283489227295, + "learning_rate": 1.932704909948604e-05, + "loss": 3.4406, + "mean_token_accuracy": 0.3327666327357292, + "step": 1180 + }, + { + "epoch": 0.10377605302171448, + "grad_norm": 4.08066463470459, + "learning_rate": 1.930491928508492e-05, + "loss": 3.3445, + "mean_token_accuracy": 0.3489603757858276, + "step": 1190 + }, + { + "epoch": 0.10464812069416586, + "grad_norm": 4.122050762176514, + "learning_rate": 1.9282444556057855e-05, + "loss": 3.3273, + "mean_token_accuracy": 0.3499755382537842, + "step": 1200 + }, + { + "epoch": 0.10464812069416586, + "eval_runtime": 4.1289, + "eval_samples_per_second": 265.686, + "eval_steps_per_second": 66.603, + "step": 1200 + }, + { + "epoch": 0.10552018836661725, + "grad_norm": 4.377065181732178, + "learning_rate": 1.9259625745497803e-05, + "loss": 3.2516, + "mean_token_accuracy": 0.3601638913154602, + "step": 1210 + }, + { + "epoch": 0.10639225603906863, + "grad_norm": 4.147984504699707, + "learning_rate": 1.9236463699252136e-05, + "loss": 3.3523, + "mean_token_accuracy": 0.3502446189522743, + "step": 1220 + }, + { + "epoch": 0.10726432371152002, + "grad_norm": 3.8092539310455322, + "learning_rate": 1.921295927589127e-05, + "loss": 3.2445, + "mean_token_accuracy": 0.3596868857741356, + "step": 1230 + }, + { + "epoch": 0.1081363913839714, + "grad_norm": 4.0484113693237305, + "learning_rate": 1.9189113346676878e-05, + "loss": 3.2758, + "mean_token_accuracy": 0.3600293517112732, + "step": 1240 + }, + { + "epoch": 0.10900845905642279, + "grad_norm": 4.4944233894348145, + "learning_rate": 1.916492679552954e-05, + "loss": 3.2563, + "mean_token_accuracy": 0.35364481061697006, + "step": 1250 + }, + { + "epoch": 0.10988052672887416, + "grad_norm": 3.984053373336792, + "learning_rate": 1.914040051899602e-05, + "loss": 3.2687, + "mean_token_accuracy": 0.3680406078696251, + "step": 1260 + }, + { + "epoch": 0.11075259440132554, + "grad_norm": 3.9245243072509766, + "learning_rate": 1.9115535426216018e-05, + "loss": 3.2164, + "mean_token_accuracy": 0.37181995809078217, + "step": 1270 + }, + { + "epoch": 0.11162466207377693, + "grad_norm": 4.007757186889648, + "learning_rate": 1.9090332438888458e-05, + "loss": 3.2258, + "mean_token_accuracy": 0.371012718975544, + "step": 1280 + }, + { + "epoch": 0.1124967297462283, + "grad_norm": 3.6724660396575928, + "learning_rate": 1.906479249123735e-05, + "loss": 3.1961, + "mean_token_accuracy": 0.3675024464726448, + "step": 1290 + }, + { + "epoch": 0.1133687974186797, + "grad_norm": 3.796718120574951, + "learning_rate": 1.9038916529977136e-05, + "loss": 3.2742, + "mean_token_accuracy": 0.364249025285244, + "step": 1300 + }, + { + "epoch": 0.1133687974186797, + "eval_runtime": 4.1283, + "eval_samples_per_second": 265.725, + "eval_steps_per_second": 66.613, + "step": 1300 + }, + { + "epoch": 0.11424086509113107, + "grad_norm": 3.9330341815948486, + "learning_rate": 1.901270551427761e-05, + "loss": 3.1664, + "mean_token_accuracy": 0.3738380640745163, + "step": 1310 + }, + { + "epoch": 0.11511293276358245, + "grad_norm": 3.5709919929504395, + "learning_rate": 1.898616041572836e-05, + "loss": 3.2211, + "mean_token_accuracy": 0.36432240456342696, + "step": 1320 + }, + { + "epoch": 0.11598500043603384, + "grad_norm": 3.698350191116333, + "learning_rate": 1.8959282218302746e-05, + "loss": 3.0789, + "mean_token_accuracy": 0.39012965112924575, + "step": 1330 + }, + { + "epoch": 0.11685706810848522, + "grad_norm": 3.5991384983062744, + "learning_rate": 1.893207191832144e-05, + "loss": 3.1117, + "mean_token_accuracy": 0.3800391390919685, + "step": 1340 + }, + { + "epoch": 0.1177291357809366, + "grad_norm": 3.959972620010376, + "learning_rate": 1.8904530524415483e-05, + "loss": 3.2102, + "mean_token_accuracy": 0.36545988619327546, + "step": 1350 + }, + { + "epoch": 0.11860120345338798, + "grad_norm": 3.513537645339966, + "learning_rate": 1.8876659057488905e-05, + "loss": 3.1094, + "mean_token_accuracy": 0.3847602754831314, + "step": 1360 + }, + { + "epoch": 0.11947327112583936, + "grad_norm": 3.834674596786499, + "learning_rate": 1.8848458550680875e-05, + "loss": 3.0852, + "mean_token_accuracy": 0.3872553795576096, + "step": 1370 + }, + { + "epoch": 0.12034533879829075, + "grad_norm": 3.618102550506592, + "learning_rate": 1.8819930049327412e-05, + "loss": 3.0797, + "mean_token_accuracy": 0.3904965788125992, + "step": 1380 + }, + { + "epoch": 0.12121740647074213, + "grad_norm": 3.6198570728302, + "learning_rate": 1.8791074610922624e-05, + "loss": 3.0875, + "mean_token_accuracy": 0.39086350202560427, + "step": 1390 + }, + { + "epoch": 0.12208947414319352, + "grad_norm": 3.8854329586029053, + "learning_rate": 1.8761893305079528e-05, + "loss": 3.1414, + "mean_token_accuracy": 0.37323874682188035, + "step": 1400 + }, + { + "epoch": 0.12208947414319352, + "eval_runtime": 4.1348, + "eval_samples_per_second": 265.309, + "eval_steps_per_second": 66.509, + "step": 1400 + }, + { + "epoch": 0.12296154181564489, + "grad_norm": 4.041639804840088, + "learning_rate": 1.873238721349038e-05, + "loss": 3.0742, + "mean_token_accuracy": 0.3837573379278183, + "step": 1410 + }, + { + "epoch": 0.12383360948809628, + "grad_norm": 4.237380027770996, + "learning_rate": 1.8702557429886607e-05, + "loss": 3.0914, + "mean_token_accuracy": 0.3820450097322464, + "step": 1420 + }, + { + "epoch": 0.12470567716054766, + "grad_norm": 4.059397220611572, + "learning_rate": 1.8672405059998228e-05, + "loss": 2.9609, + "mean_token_accuracy": 0.40667808055877686, + "step": 1430 + }, + { + "epoch": 0.12557774483299905, + "grad_norm": 3.358105182647705, + "learning_rate": 1.8641931221512895e-05, + "loss": 3.0742, + "mean_token_accuracy": 0.3837695673108101, + "step": 1440 + }, + { + "epoch": 0.12644981250545043, + "grad_norm": 3.401979446411133, + "learning_rate": 1.8611137044034454e-05, + "loss": 3.0383, + "mean_token_accuracy": 0.39514432698488233, + "step": 1450 + }, + { + "epoch": 0.1273218801779018, + "grad_norm": 3.436000108718872, + "learning_rate": 1.858002366904107e-05, + "loss": 3.0211, + "mean_token_accuracy": 0.3948630094528198, + "step": 1460 + }, + { + "epoch": 0.12819394785035318, + "grad_norm": 3.341808795928955, + "learning_rate": 1.854859224984292e-05, + "loss": 3.0477, + "mean_token_accuracy": 0.3904598832130432, + "step": 1470 + }, + { + "epoch": 0.12906601552280456, + "grad_norm": 3.333475112915039, + "learning_rate": 1.851684395153944e-05, + "loss": 2.9945, + "mean_token_accuracy": 0.39763942956924436, + "step": 1480 + }, + { + "epoch": 0.12993808319525596, + "grad_norm": 3.9498677253723145, + "learning_rate": 1.8484779950976133e-05, + "loss": 3.0828, + "mean_token_accuracy": 0.3841120347380638, + "step": 1490 + }, + { + "epoch": 0.13081015086770734, + "grad_norm": 3.5516517162323, + "learning_rate": 1.8452401436700954e-05, + "loss": 3.0523, + "mean_token_accuracy": 0.3902886524796486, + "step": 1500 + }, + { + "epoch": 0.13081015086770734, + "eval_runtime": 4.1275, + "eval_samples_per_second": 265.781, + "eval_steps_per_second": 66.627, + "step": 1500 + }, + { + "epoch": 0.1316822185401587, + "grad_norm": 3.62166690826416, + "learning_rate": 1.8419709608920243e-05, + "loss": 3.0422, + "mean_token_accuracy": 0.39096135199069976, + "step": 1510 + }, + { + "epoch": 0.1325542862126101, + "grad_norm": 4.141049385070801, + "learning_rate": 1.8386705679454243e-05, + "loss": 2.9211, + "mean_token_accuracy": 0.4110078290104866, + "step": 1520 + }, + { + "epoch": 0.1334263538850615, + "grad_norm": 3.757030487060547, + "learning_rate": 1.8353390871692176e-05, + "loss": 3.0242, + "mean_token_accuracy": 0.3907778859138489, + "step": 1530 + }, + { + "epoch": 0.13429842155751287, + "grad_norm": 3.1740000247955322, + "learning_rate": 1.8319766420546902e-05, + "loss": 2.9727, + "mean_token_accuracy": 0.4011374771595001, + "step": 1540 + }, + { + "epoch": 0.13517048922996425, + "grad_norm": 3.0472218990325928, + "learning_rate": 1.8285833572409135e-05, + "loss": 2.9555, + "mean_token_accuracy": 0.4009907066822052, + "step": 1550 + }, + { + "epoch": 0.13604255690241562, + "grad_norm": 3.645477533340454, + "learning_rate": 1.8251593585101243e-05, + "loss": 2.9727, + "mean_token_accuracy": 0.39836105704307556, + "step": 1560 + }, + { + "epoch": 0.136914624574867, + "grad_norm": 3.587836503982544, + "learning_rate": 1.821704772783063e-05, + "loss": 2.918, + "mean_token_accuracy": 0.41287915855646135, + "step": 1570 + }, + { + "epoch": 0.1377866922473184, + "grad_norm": 3.234576940536499, + "learning_rate": 1.818219728114267e-05, + "loss": 2.9281, + "mean_token_accuracy": 0.40916095674037933, + "step": 1580 + }, + { + "epoch": 0.13865875991976978, + "grad_norm": 3.24845027923584, + "learning_rate": 1.8147043536873275e-05, + "loss": 2.9125, + "mean_token_accuracy": 0.4080357149243355, + "step": 1590 + }, + { + "epoch": 0.13953082759222116, + "grad_norm": 3.2831177711486816, + "learning_rate": 1.8111587798100974e-05, + "loss": 2.9648, + "mean_token_accuracy": 0.4068860083818436, + "step": 1600 + }, + { + "epoch": 0.13953082759222116, + "eval_runtime": 4.1326, + "eval_samples_per_second": 265.449, + "eval_steps_per_second": 66.544, + "step": 1600 + }, + { + "epoch": 0.14040289526467253, + "grad_norm": 3.7048988342285156, + "learning_rate": 1.807583137909862e-05, + "loss": 2.9148, + "mean_token_accuracy": 0.413246089220047, + "step": 1610 + }, + { + "epoch": 0.1412749629371239, + "grad_norm": 3.4570460319519043, + "learning_rate": 1.8039775605284687e-05, + "loss": 2.8078, + "mean_token_accuracy": 0.4237279832363129, + "step": 1620 + }, + { + "epoch": 0.14214703060957531, + "grad_norm": 3.099559783935547, + "learning_rate": 1.800342181317413e-05, + "loss": 2.918, + "mean_token_accuracy": 0.4077666312456131, + "step": 1630 + }, + { + "epoch": 0.1430190982820267, + "grad_norm": 3.0252482891082764, + "learning_rate": 1.7966771350328825e-05, + "loss": 2.8844, + "mean_token_accuracy": 0.4083292558789253, + "step": 1640 + }, + { + "epoch": 0.14389116595447807, + "grad_norm": 3.1384706497192383, + "learning_rate": 1.7929825575307665e-05, + "loss": 2.918, + "mean_token_accuracy": 0.4091854229569435, + "step": 1650 + }, + { + "epoch": 0.14476323362692944, + "grad_norm": 3.6761953830718994, + "learning_rate": 1.7892585857616144e-05, + "loss": 2.8633, + "mean_token_accuracy": 0.41793052554130555, + "step": 1660 + }, + { + "epoch": 0.14563530129938082, + "grad_norm": 3.1798853874206543, + "learning_rate": 1.785505357765563e-05, + "loss": 2.8742, + "mean_token_accuracy": 0.41296477168798446, + "step": 1670 + }, + { + "epoch": 0.14650736897183222, + "grad_norm": 2.878243923187256, + "learning_rate": 1.781723012667218e-05, + "loss": 2.8141, + "mean_token_accuracy": 0.42703033089637754, + "step": 1680 + }, + { + "epoch": 0.1473794366442836, + "grad_norm": 3.0460922718048096, + "learning_rate": 1.7779116906704986e-05, + "loss": 2.8719, + "mean_token_accuracy": 0.41503180265426637, + "step": 1690 + }, + { + "epoch": 0.14825150431673498, + "grad_norm": 3.0491960048675537, + "learning_rate": 1.7740715330534383e-05, + "loss": 2.8453, + "mean_token_accuracy": 0.42374021410942075, + "step": 1700 + }, + { + "epoch": 0.14825150431673498, + "eval_runtime": 4.1292, + "eval_samples_per_second": 265.67, + "eval_steps_per_second": 66.599, + "step": 1700 + }, + { + "epoch": 0.14912357198918635, + "grad_norm": 3.0250508785247803, + "learning_rate": 1.770202682162949e-05, + "loss": 2.7922, + "mean_token_accuracy": 0.4278742656111717, + "step": 1710 + }, + { + "epoch": 0.14999563966163773, + "grad_norm": 2.9240477085113525, + "learning_rate": 1.7663052814095447e-05, + "loss": 2.7781, + "mean_token_accuracy": 0.4257338553667068, + "step": 1720 + }, + { + "epoch": 0.15086770733408914, + "grad_norm": 3.1178035736083984, + "learning_rate": 1.7623794752620255e-05, + "loss": 2.8961, + "mean_token_accuracy": 0.4085371822118759, + "step": 1730 + }, + { + "epoch": 0.1517397750065405, + "grad_norm": 3.2408981323242188, + "learning_rate": 1.7584254092421226e-05, + "loss": 2.8453, + "mean_token_accuracy": 0.4179305285215378, + "step": 1740 + }, + { + "epoch": 0.1526118426789919, + "grad_norm": 3.1920886039733887, + "learning_rate": 1.754443229919103e-05, + "loss": 2.8078, + "mean_token_accuracy": 0.4238502934575081, + "step": 1750 + }, + { + "epoch": 0.15348391035144326, + "grad_norm": 3.2301573753356934, + "learning_rate": 1.7504330849043373e-05, + "loss": 2.8148, + "mean_token_accuracy": 0.4219178080558777, + "step": 1760 + }, + { + "epoch": 0.15435597802389464, + "grad_norm": 2.9890947341918945, + "learning_rate": 1.7463951228458288e-05, + "loss": 2.8078, + "mean_token_accuracy": 0.42202788293361665, + "step": 1770 + }, + { + "epoch": 0.15522804569634605, + "grad_norm": 2.8763387203216553, + "learning_rate": 1.7423294934227017e-05, + "loss": 2.8242, + "mean_token_accuracy": 0.41895792335271836, + "step": 1780 + }, + { + "epoch": 0.15610011336879742, + "grad_norm": 2.7581729888916016, + "learning_rate": 1.7382363473396543e-05, + "loss": 2.8328, + "mean_token_accuracy": 0.4259295478463173, + "step": 1790 + }, + { + "epoch": 0.1569721810412488, + "grad_norm": 2.963263988494873, + "learning_rate": 1.734115836321372e-05, + "loss": 2.807, + "mean_token_accuracy": 0.43183708637952806, + "step": 1800 + }, + { + "epoch": 0.1569721810412488, + "eval_runtime": 4.1274, + "eval_samples_per_second": 265.783, + "eval_steps_per_second": 66.627, + "step": 1800 + }, + { + "epoch": 0.15784424871370017, + "grad_norm": 2.855430841445923, + "learning_rate": 1.7299681131069026e-05, + "loss": 2.693, + "mean_token_accuracy": 0.4404476538300514, + "step": 1810 + }, + { + "epoch": 0.15871631638615158, + "grad_norm": 3.119471788406372, + "learning_rate": 1.725793331443996e-05, + "loss": 2.7398, + "mean_token_accuracy": 0.4388209402561188, + "step": 1820 + }, + { + "epoch": 0.15958838405860296, + "grad_norm": 2.793922185897827, + "learning_rate": 1.7215916460834048e-05, + "loss": 2.843, + "mean_token_accuracy": 0.42108610570430755, + "step": 1830 + }, + { + "epoch": 0.16046045173105433, + "grad_norm": 2.9096503257751465, + "learning_rate": 1.7173632127731462e-05, + "loss": 2.7836, + "mean_token_accuracy": 0.4271893367171288, + "step": 1840 + }, + { + "epoch": 0.1613325194035057, + "grad_norm": 3.204503297805786, + "learning_rate": 1.7131081882527305e-05, + "loss": 2.7602, + "mean_token_accuracy": 0.4297088995575905, + "step": 1850 + }, + { + "epoch": 0.16220458707595709, + "grad_norm": 3.056335687637329, + "learning_rate": 1.708826730247351e-05, + "loss": 2.7836, + "mean_token_accuracy": 0.42745841294527054, + "step": 1860 + }, + { + "epoch": 0.1630766547484085, + "grad_norm": 3.0003669261932373, + "learning_rate": 1.704518997462037e-05, + "loss": 2.7781, + "mean_token_accuracy": 0.4310176149010658, + "step": 1870 + }, + { + "epoch": 0.16394872242085987, + "grad_norm": 2.989548683166504, + "learning_rate": 1.7001851495757708e-05, + "loss": 2.7, + "mean_token_accuracy": 0.4441413924098015, + "step": 1880 + }, + { + "epoch": 0.16482079009331124, + "grad_norm": 2.8589212894439697, + "learning_rate": 1.6958253472355687e-05, + "loss": 2.7969, + "mean_token_accuracy": 0.428583662211895, + "step": 1890 + }, + { + "epoch": 0.16569285776576262, + "grad_norm": 3.0321006774902344, + "learning_rate": 1.6914397520505267e-05, + "loss": 2.775, + "mean_token_accuracy": 0.42777641862630844, + "step": 1900 + }, + { + "epoch": 0.16569285776576262, + "eval_runtime": 4.1313, + "eval_samples_per_second": 265.534, + "eval_steps_per_second": 66.565, + "step": 1900 + }, + { + "epoch": 0.166564925438214, + "grad_norm": 3.001772880554199, + "learning_rate": 1.6870285265858298e-05, + "loss": 2.7281, + "mean_token_accuracy": 0.4312989264726639, + "step": 1910 + }, + { + "epoch": 0.1674369931106654, + "grad_norm": 2.932978630065918, + "learning_rate": 1.6825918343567257e-05, + "loss": 2.7188, + "mean_token_accuracy": 0.43893101513385774, + "step": 1920 + }, + { + "epoch": 0.16830906078311678, + "grad_norm": 2.9124691486358643, + "learning_rate": 1.678129839822463e-05, + "loss": 2.7078, + "mean_token_accuracy": 0.4415362000465393, + "step": 1930 + }, + { + "epoch": 0.16918112845556815, + "grad_norm": 3.4372551441192627, + "learning_rate": 1.673642708380198e-05, + "loss": 2.6633, + "mean_token_accuracy": 0.44169520288705827, + "step": 1940 + }, + { + "epoch": 0.17005319612801953, + "grad_norm": 3.0920894145965576, + "learning_rate": 1.6691306063588583e-05, + "loss": 2.7062, + "mean_token_accuracy": 0.43405088037252426, + "step": 1950 + }, + { + "epoch": 0.1709252638004709, + "grad_norm": 2.7911059856414795, + "learning_rate": 1.6645937010129837e-05, + "loss": 2.6176, + "mean_token_accuracy": 0.4528008818626404, + "step": 1960 + }, + { + "epoch": 0.1717973314729223, + "grad_norm": 2.8475165367126465, + "learning_rate": 1.660032160516522e-05, + "loss": 2.6953, + "mean_token_accuracy": 0.4378180027008057, + "step": 1970 + }, + { + "epoch": 0.1726693991453737, + "grad_norm": 2.9752726554870605, + "learning_rate": 1.6554461539565953e-05, + "loss": 2.7117, + "mean_token_accuracy": 0.43961594849824903, + "step": 1980 + }, + { + "epoch": 0.17354146681782506, + "grad_norm": 2.8593695163726807, + "learning_rate": 1.650835851327236e-05, + "loss": 2.6562, + "mean_token_accuracy": 0.4452421724796295, + "step": 1990 + }, + { + "epoch": 0.17441353449027644, + "grad_norm": 2.9197885990142822, + "learning_rate": 1.6462014235230805e-05, + "loss": 2.6602, + "mean_token_accuracy": 0.4435909941792488, + "step": 2000 + }, + { + "epoch": 0.17441353449027644, + "eval_runtime": 4.1313, + "eval_samples_per_second": 265.534, + "eval_steps_per_second": 66.565, + "step": 2000 + }, + { + "epoch": 0.17528560216272782, + "grad_norm": 2.9950215816497803, + "learning_rate": 1.641543042333038e-05, + "loss": 2.6203, + "mean_token_accuracy": 0.4521281778812408, + "step": 2010 + }, + { + "epoch": 0.17615766983517922, + "grad_norm": 2.9370808601379395, + "learning_rate": 1.636860880433922e-05, + "loss": 2.7664, + "mean_token_accuracy": 0.4317881613969803, + "step": 2020 + }, + { + "epoch": 0.1770297375076306, + "grad_norm": 2.8373124599456787, + "learning_rate": 1.632155111384047e-05, + "loss": 2.7141, + "mean_token_accuracy": 0.43976271748542783, + "step": 2030 + }, + { + "epoch": 0.17790180518008197, + "grad_norm": 2.8195762634277344, + "learning_rate": 1.6274259096168e-05, + "loss": 2.7094, + "mean_token_accuracy": 0.4360934436321259, + "step": 2040 + }, + { + "epoch": 0.17877387285253335, + "grad_norm": 2.7108118534088135, + "learning_rate": 1.622673450434169e-05, + "loss": 2.6523, + "mean_token_accuracy": 0.44914383441209793, + "step": 2050 + }, + { + "epoch": 0.17964594052498473, + "grad_norm": 2.8289873600006104, + "learning_rate": 1.6178979100002486e-05, + "loss": 2.675, + "mean_token_accuracy": 0.4425146758556366, + "step": 2060 + }, + { + "epoch": 0.18051800819743613, + "grad_norm": 2.755321502685547, + "learning_rate": 1.6130994653347096e-05, + "loss": 2.725, + "mean_token_accuracy": 0.4364603698253632, + "step": 2070 + }, + { + "epoch": 0.1813900758698875, + "grad_norm": 2.763747453689575, + "learning_rate": 1.6082782943062355e-05, + "loss": 2.6883, + "mean_token_accuracy": 0.43917563557624817, + "step": 2080 + }, + { + "epoch": 0.18226214354233888, + "grad_norm": 3.3703789710998535, + "learning_rate": 1.6034345756259303e-05, + "loss": 2.5836, + "mean_token_accuracy": 0.4629647731781006, + "step": 2090 + }, + { + "epoch": 0.18313421121479026, + "grad_norm": 2.9087443351745605, + "learning_rate": 1.598568488840695e-05, + "loss": 2.6602, + "mean_token_accuracy": 0.44581702500581744, + "step": 2100 + }, + { + "epoch": 0.18313421121479026, + "eval_runtime": 4.1314, + "eval_samples_per_second": 265.53, + "eval_steps_per_second": 66.564, + "step": 2100 + }, + { + "epoch": 0.18400627888724164, + "grad_norm": 2.908827781677246, + "learning_rate": 1.5936802143265708e-05, + "loss": 2.693, + "mean_token_accuracy": 0.4390166327357292, + "step": 2110 + }, + { + "epoch": 0.18487834655969304, + "grad_norm": 2.638753890991211, + "learning_rate": 1.5887699332820527e-05, + "loss": 2.6516, + "mean_token_accuracy": 0.4434474125504494, + "step": 2120 + }, + { + "epoch": 0.18575041423214442, + "grad_norm": 2.619760751724243, + "learning_rate": 1.5838378277213745e-05, + "loss": 2.6445, + "mean_token_accuracy": 0.44809197783470156, + "step": 2130 + }, + { + "epoch": 0.1866224819045958, + "grad_norm": 2.7272400856018066, + "learning_rate": 1.57888408046776e-05, + "loss": 2.6234, + "mean_token_accuracy": 0.44898483753204343, + "step": 2140 + }, + { + "epoch": 0.18749454957704717, + "grad_norm": 2.7914986610412598, + "learning_rate": 1.573908875146648e-05, + "loss": 2.5961, + "mean_token_accuracy": 0.4530821919441223, + "step": 2150 + }, + { + "epoch": 0.18836661724949857, + "grad_norm": 2.588865280151367, + "learning_rate": 1.5689123961788834e-05, + "loss": 2.6352, + "mean_token_accuracy": 0.4493517607450485, + "step": 2160 + }, + { + "epoch": 0.18923868492194995, + "grad_norm": 2.6424171924591064, + "learning_rate": 1.563894828773883e-05, + "loss": 2.6109, + "mean_token_accuracy": 0.45457435846328736, + "step": 2170 + }, + { + "epoch": 0.19011075259440133, + "grad_norm": 2.7493107318878174, + "learning_rate": 1.55885635892277e-05, + "loss": 2.7016, + "mean_token_accuracy": 0.4329256385564804, + "step": 2180 + }, + { + "epoch": 0.1909828202668527, + "grad_norm": 2.6690175533294678, + "learning_rate": 1.5537971733914784e-05, + "loss": 2.6586, + "mean_token_accuracy": 0.44171966463327406, + "step": 2190 + }, + { + "epoch": 0.19185488793930408, + "grad_norm": 2.6221401691436768, + "learning_rate": 1.5487174597138314e-05, + "loss": 2.5656, + "mean_token_accuracy": 0.46923923641443255, + "step": 2200 + }, + { + "epoch": 0.19185488793930408, + "eval_runtime": 4.1333, + "eval_samples_per_second": 265.403, + "eval_steps_per_second": 66.532, + "step": 2200 + }, + { + "epoch": 0.19272695561175548, + "grad_norm": 2.4270994663238525, + "learning_rate": 1.543617406184589e-05, + "loss": 2.6078, + "mean_token_accuracy": 0.4553938314318657, + "step": 2210 + }, + { + "epoch": 0.19359902328420686, + "grad_norm": 2.664708375930786, + "learning_rate": 1.5384972018524678e-05, + "loss": 2.6141, + "mean_token_accuracy": 0.4547333657741547, + "step": 2220 + }, + { + "epoch": 0.19447109095665824, + "grad_norm": 2.762800693511963, + "learning_rate": 1.5333570365131353e-05, + "loss": 2.6328, + "mean_token_accuracy": 0.44379892498254775, + "step": 2230 + }, + { + "epoch": 0.19534315862910961, + "grad_norm": 2.7636358737945557, + "learning_rate": 1.5281971007021728e-05, + "loss": 2.6039, + "mean_token_accuracy": 0.452837572991848, + "step": 2240 + }, + { + "epoch": 0.196215226301561, + "grad_norm": 2.8070192337036133, + "learning_rate": 1.5230175856880132e-05, + "loss": 2.5617, + "mean_token_accuracy": 0.4596868857741356, + "step": 2250 + }, + { + "epoch": 0.1970872939740124, + "grad_norm": 2.8331243991851807, + "learning_rate": 1.5178186834648509e-05, + "loss": 2.5438, + "mean_token_accuracy": 0.4668175160884857, + "step": 2260 + }, + { + "epoch": 0.19795936164646377, + "grad_norm": 2.7152249813079834, + "learning_rate": 1.5126005867455256e-05, + "loss": 2.5109, + "mean_token_accuracy": 0.46671966910362245, + "step": 2270 + }, + { + "epoch": 0.19883142931891515, + "grad_norm": 2.550647258758545, + "learning_rate": 1.5073634889543778e-05, + "loss": 2.6805, + "mean_token_accuracy": 0.4403742626309395, + "step": 2280 + }, + { + "epoch": 0.19970349699136652, + "grad_norm": 2.3564510345458984, + "learning_rate": 1.5021075842200796e-05, + "loss": 2.6352, + "mean_token_accuracy": 0.44922945499420164, + "step": 2290 + }, + { + "epoch": 0.2005755646638179, + "grad_norm": 2.606297492980957, + "learning_rate": 1.4968330673684387e-05, + "loss": 2.6141, + "mean_token_accuracy": 0.45472113490104676, + "step": 2300 + }, + { + "epoch": 0.2005755646638179, + "eval_runtime": 4.1202, + "eval_samples_per_second": 266.248, + "eval_steps_per_second": 66.744, + "step": 2300 + }, + { + "epoch": 0.2014476323362693, + "grad_norm": 2.5705673694610596, + "learning_rate": 1.4915401339151769e-05, + "loss": 2.5227, + "mean_token_accuracy": 0.4659980431199074, + "step": 2310 + }, + { + "epoch": 0.20231970000872068, + "grad_norm": 2.6135408878326416, + "learning_rate": 1.486228980058682e-05, + "loss": 2.5906, + "mean_token_accuracy": 0.45435420870780946, + "step": 2320 + }, + { + "epoch": 0.20319176768117206, + "grad_norm": 2.3405566215515137, + "learning_rate": 1.4808998026727348e-05, + "loss": 2.6133, + "mean_token_accuracy": 0.4514187902212143, + "step": 2330 + }, + { + "epoch": 0.20406383535362344, + "grad_norm": 2.586230516433716, + "learning_rate": 1.4755527992992133e-05, + "loss": 2.5352, + "mean_token_accuracy": 0.4640166342258453, + "step": 2340 + }, + { + "epoch": 0.2049359030260748, + "grad_norm": 2.503904104232788, + "learning_rate": 1.4701881681407684e-05, + "loss": 2.5695, + "mean_token_accuracy": 0.4587695673108101, + "step": 2350 + }, + { + "epoch": 0.20580797069852622, + "grad_norm": 2.3526577949523926, + "learning_rate": 1.464806108053477e-05, + "loss": 2.5508, + "mean_token_accuracy": 0.4621942266821861, + "step": 2360 + }, + { + "epoch": 0.2066800383709776, + "grad_norm": 2.5566749572753906, + "learning_rate": 1.4594068185394723e-05, + "loss": 2.5656, + "mean_token_accuracy": 0.4573018580675125, + "step": 2370 + }, + { + "epoch": 0.20755210604342897, + "grad_norm": 2.587758779525757, + "learning_rate": 1.4539904997395468e-05, + "loss": 2.5734, + "mean_token_accuracy": 0.45736301243305205, + "step": 2380 + }, + { + "epoch": 0.20842417371588035, + "grad_norm": 2.557659864425659, + "learning_rate": 1.448557352425735e-05, + "loss": 2.5828, + "mean_token_accuracy": 0.45392612367868423, + "step": 2390 + }, + { + "epoch": 0.20929624138833172, + "grad_norm": 2.566291570663452, + "learning_rate": 1.44310757799387e-05, + "loss": 2.5023, + "mean_token_accuracy": 0.47142857015132905, + "step": 2400 + }, + { + "epoch": 0.20929624138833172, + "eval_runtime": 4.1208, + "eval_samples_per_second": 266.208, + "eval_steps_per_second": 66.734, + "step": 2400 + }, + { + "epoch": 0.21016830906078313, + "grad_norm": 2.5104401111602783, + "learning_rate": 1.437641378456119e-05, + "loss": 2.632, + "mean_token_accuracy": 0.4517857074737549, + "step": 2410 + }, + { + "epoch": 0.2110403767332345, + "grad_norm": 2.5603201389312744, + "learning_rate": 1.4321589564334946e-05, + "loss": 2.5672, + "mean_token_accuracy": 0.4601761266589165, + "step": 2420 + }, + { + "epoch": 0.21191244440568588, + "grad_norm": 2.5465004444122314, + "learning_rate": 1.4266605151483444e-05, + "loss": 2.5977, + "mean_token_accuracy": 0.4545865923166275, + "step": 2430 + }, + { + "epoch": 0.21278451207813726, + "grad_norm": 2.701889753341675, + "learning_rate": 1.4211462584168178e-05, + "loss": 2.5516, + "mean_token_accuracy": 0.4641756370663643, + "step": 2440 + }, + { + "epoch": 0.21365657975058863, + "grad_norm": 2.547666549682617, + "learning_rate": 1.4156163906413113e-05, + "loss": 2.4992, + "mean_token_accuracy": 0.47222358286380767, + "step": 2450 + }, + { + "epoch": 0.21452864742304004, + "grad_norm": 2.40474009513855, + "learning_rate": 1.4100711168028906e-05, + "loss": 2.5402, + "mean_token_accuracy": 0.46253668814897536, + "step": 2460 + }, + { + "epoch": 0.2154007150954914, + "grad_norm": 2.695638656616211, + "learning_rate": 1.4045106424536938e-05, + "loss": 2.5492, + "mean_token_accuracy": 0.46247553676366804, + "step": 2470 + }, + { + "epoch": 0.2162727827679428, + "grad_norm": 2.4520533084869385, + "learning_rate": 1.398935173709311e-05, + "loss": 2.5992, + "mean_token_accuracy": 0.4556384563446045, + "step": 2480 + }, + { + "epoch": 0.21714485044039417, + "grad_norm": 2.4459166526794434, + "learning_rate": 1.3933449172411446e-05, + "loss": 2.4758, + "mean_token_accuracy": 0.47353229075670245, + "step": 2490 + }, + { + "epoch": 0.21801691811284557, + "grad_norm": 2.517346143722534, + "learning_rate": 1.387740080268748e-05, + "loss": 2.543, + "mean_token_accuracy": 0.4653864920139313, + "step": 2500 + }, + { + "epoch": 0.21801691811284557, + "eval_runtime": 4.1166, + "eval_samples_per_second": 266.482, + "eval_steps_per_second": 66.803, + "step": 2500 + }, + { + "epoch": 0.21888898578529695, + "grad_norm": 2.487534999847412, + "learning_rate": 1.3821208705521442e-05, + "loss": 2.5711, + "mean_token_accuracy": 0.45908757448196413, + "step": 2510 + }, + { + "epoch": 0.21976105345774832, + "grad_norm": 2.585965871810913, + "learning_rate": 1.3764874963841255e-05, + "loss": 2.6031, + "mean_token_accuracy": 0.4523483380675316, + "step": 2520 + }, + { + "epoch": 0.2206331211301997, + "grad_norm": 2.908734083175659, + "learning_rate": 1.3708401665825319e-05, + "loss": 2.4742, + "mean_token_accuracy": 0.47223581522703173, + "step": 2530 + }, + { + "epoch": 0.22150518880265108, + "grad_norm": 2.5196869373321533, + "learning_rate": 1.36517909048251e-05, + "loss": 2.5266, + "mean_token_accuracy": 0.4666952043771744, + "step": 2540 + }, + { + "epoch": 0.22237725647510248, + "grad_norm": 2.570237874984741, + "learning_rate": 1.3595044779287543e-05, + "loss": 2.5297, + "mean_token_accuracy": 0.4622186854481697, + "step": 2550 + }, + { + "epoch": 0.22324932414755386, + "grad_norm": 2.757084608078003, + "learning_rate": 1.3538165392677288e-05, + "loss": 2.5758, + "mean_token_accuracy": 0.4610322922468185, + "step": 2560 + }, + { + "epoch": 0.22412139182000523, + "grad_norm": 2.5194716453552246, + "learning_rate": 1.3481154853398686e-05, + "loss": 2.5492, + "mean_token_accuracy": 0.4552470624446869, + "step": 2570 + }, + { + "epoch": 0.2249934594924566, + "grad_norm": 2.566094160079956, + "learning_rate": 1.3424015274717665e-05, + "loss": 2.5172, + "mean_token_accuracy": 0.464469176530838, + "step": 2580 + }, + { + "epoch": 0.225865527164908, + "grad_norm": 2.5102264881134033, + "learning_rate": 1.3366748774683376e-05, + "loss": 2.4922, + "mean_token_accuracy": 0.4739726006984711, + "step": 2590 + }, + { + "epoch": 0.2267375948373594, + "grad_norm": 2.4986090660095215, + "learning_rate": 1.3309357476049686e-05, + "loss": 2.4969, + "mean_token_accuracy": 0.47189334481954576, + "step": 2600 + }, + { + "epoch": 0.2267375948373594, + "eval_runtime": 4.1205, + "eval_samples_per_second": 266.23, + "eval_steps_per_second": 66.739, + "step": 2600 + }, + { + "epoch": 0.22760966250981077, + "grad_norm": 2.406562089920044, + "learning_rate": 1.3251843506196508e-05, + "loss": 2.5078, + "mean_token_accuracy": 0.46998532563447953, + "step": 2610 + }, + { + "epoch": 0.22848173018226214, + "grad_norm": 2.538019895553589, + "learning_rate": 1.3194208997050915e-05, + "loss": 2.4813, + "mean_token_accuracy": 0.47781310975551605, + "step": 2620 + }, + { + "epoch": 0.22935379785471352, + "grad_norm": 2.3137576580047607, + "learning_rate": 1.313645608500814e-05, + "loss": 2.5078, + "mean_token_accuracy": 0.47041340470314025, + "step": 2630 + }, + { + "epoch": 0.2302258655271649, + "grad_norm": 2.411092758178711, + "learning_rate": 1.3078586910852364e-05, + "loss": 2.5125, + "mean_token_accuracy": 0.4682729944586754, + "step": 2640 + }, + { + "epoch": 0.2310979331996163, + "grad_norm": 2.3885931968688965, + "learning_rate": 1.3020603619677378e-05, + "loss": 2.4836, + "mean_token_accuracy": 0.4687133103609085, + "step": 2650 + }, + { + "epoch": 0.23197000087206768, + "grad_norm": 2.590830087661743, + "learning_rate": 1.296250836080706e-05, + "loss": 2.4719, + "mean_token_accuracy": 0.4720523491501808, + "step": 2660 + }, + { + "epoch": 0.23284206854451905, + "grad_norm": 2.3284337520599365, + "learning_rate": 1.2904303287715702e-05, + "loss": 2.5031, + "mean_token_accuracy": 0.4667808249592781, + "step": 2670 + }, + { + "epoch": 0.23371413621697043, + "grad_norm": 2.471567392349243, + "learning_rate": 1.284599055794819e-05, + "loss": 2.4922, + "mean_token_accuracy": 0.4702177092432976, + "step": 2680 + }, + { + "epoch": 0.2345862038894218, + "grad_norm": 2.3384742736816406, + "learning_rate": 1.2787572333040022e-05, + "loss": 2.5328, + "mean_token_accuracy": 0.4617294520139694, + "step": 2690 + }, + { + "epoch": 0.2354582715618732, + "grad_norm": 2.604320526123047, + "learning_rate": 1.2729050778437197e-05, + "loss": 2.5016, + "mean_token_accuracy": 0.4691780835390091, + "step": 2700 + }, + { + "epoch": 0.2354582715618732, + "eval_runtime": 4.1368, + "eval_samples_per_second": 265.179, + "eval_steps_per_second": 66.476, + "step": 2700 + }, + { + "epoch": 0.2363303392343246, + "grad_norm": 2.2211201190948486, + "learning_rate": 1.2670428063415932e-05, + "loss": 2.5227, + "mean_token_accuracy": 0.4676492169499397, + "step": 2710 + }, + { + "epoch": 0.23720240690677596, + "grad_norm": 2.4421393871307373, + "learning_rate": 1.2611706361002254e-05, + "loss": 2.425, + "mean_token_accuracy": 0.48572651743888856, + "step": 2720 + }, + { + "epoch": 0.23807447457922734, + "grad_norm": 2.3915984630584717, + "learning_rate": 1.2552887847891462e-05, + "loss": 2.5406, + "mean_token_accuracy": 0.46364970654249194, + "step": 2730 + }, + { + "epoch": 0.23894654225167872, + "grad_norm": 2.4607255458831787, + "learning_rate": 1.2493974704367427e-05, + "loss": 2.4836, + "mean_token_accuracy": 0.47026663422584536, + "step": 2740 + }, + { + "epoch": 0.23981860992413012, + "grad_norm": 2.2948453426361084, + "learning_rate": 1.2434969114221777e-05, + "loss": 2.4699, + "mean_token_accuracy": 0.47407044768333434, + "step": 2750 + }, + { + "epoch": 0.2406906775965815, + "grad_norm": 2.5067508220672607, + "learning_rate": 1.237587326467296e-05, + "loss": 2.5078, + "mean_token_accuracy": 0.46873776614665985, + "step": 2760 + }, + { + "epoch": 0.24156274526903287, + "grad_norm": 2.3885128498077393, + "learning_rate": 1.2316689346285146e-05, + "loss": 2.4922, + "mean_token_accuracy": 0.471991191804409, + "step": 2770 + }, + { + "epoch": 0.24243481294148425, + "grad_norm": 2.1619558334350586, + "learning_rate": 1.2257419552887047e-05, + "loss": 2.507, + "mean_token_accuracy": 0.47196673452854154, + "step": 2780 + }, + { + "epoch": 0.24330688061393563, + "grad_norm": 2.2310330867767334, + "learning_rate": 1.2198066081490585e-05, + "loss": 2.5102, + "mean_token_accuracy": 0.4685543060302734, + "step": 2790 + }, + { + "epoch": 0.24417894828638703, + "grad_norm": 2.5117921829223633, + "learning_rate": 1.213863113220946e-05, + "loss": 2.4617, + "mean_token_accuracy": 0.4767857104539871, + "step": 2800 + }, + { + "epoch": 0.24417894828638703, + "eval_runtime": 4.1246, + "eval_samples_per_second": 265.966, + "eval_steps_per_second": 66.673, + "step": 2800 + }, + { + "epoch": 0.2450510159588384, + "grad_norm": 2.364210367202759, + "learning_rate": 1.2079116908177592e-05, + "loss": 2.4836, + "mean_token_accuracy": 0.4738502994179726, + "step": 2810 + }, + { + "epoch": 0.24592308363128978, + "grad_norm": 2.2354042530059814, + "learning_rate": 1.2019525615467462e-05, + "loss": 2.4422, + "mean_token_accuracy": 0.48214285671710966, + "step": 2820 + }, + { + "epoch": 0.24679515130374116, + "grad_norm": 2.3318979740142822, + "learning_rate": 1.1959859463008316e-05, + "loss": 2.4828, + "mean_token_accuracy": 0.46909246444702146, + "step": 2830 + }, + { + "epoch": 0.24766721897619257, + "grad_norm": 2.548313617706299, + "learning_rate": 1.1900120662504315e-05, + "loss": 2.4641, + "mean_token_accuracy": 0.4708537206053734, + "step": 2840 + }, + { + "epoch": 0.24853928664864394, + "grad_norm": 2.2255141735076904, + "learning_rate": 1.1840311428352536e-05, + "loss": 2.4648, + "mean_token_accuracy": 0.47885274291038515, + "step": 2850 + }, + { + "epoch": 0.24941135432109532, + "grad_norm": 2.438560724258423, + "learning_rate": 1.1780433977560879e-05, + "loss": 2.4602, + "mean_token_accuracy": 0.4786081239581108, + "step": 2860 + }, + { + "epoch": 0.2502834219935467, + "grad_norm": 2.4244706630706787, + "learning_rate": 1.1720490529665904e-05, + "loss": 2.482, + "mean_token_accuracy": 0.4734466731548309, + "step": 2870 + }, + { + "epoch": 0.2511554896659981, + "grad_norm": 2.156982183456421, + "learning_rate": 1.1660483306650558e-05, + "loss": 2.4125, + "mean_token_accuracy": 0.48068737536668776, + "step": 2880 + }, + { + "epoch": 0.25202755733844945, + "grad_norm": 2.1535656452178955, + "learning_rate": 1.160041453286179e-05, + "loss": 2.55, + "mean_token_accuracy": 0.46462817788124083, + "step": 2890 + }, + { + "epoch": 0.25289962501090085, + "grad_norm": 2.2408533096313477, + "learning_rate": 1.154028643492812e-05, + "loss": 2.468, + "mean_token_accuracy": 0.47481653839349747, + "step": 2900 + }, + { + "epoch": 0.25289962501090085, + "eval_runtime": 4.1272, + "eval_samples_per_second": 265.796, + "eval_steps_per_second": 66.631, + "step": 2900 + }, + { + "epoch": 0.2537716926833522, + "grad_norm": 2.162675380706787, + "learning_rate": 1.1480101241677097e-05, + "loss": 2.4453, + "mean_token_accuracy": 0.47963551580905917, + "step": 2910 + }, + { + "epoch": 0.2546437603558036, + "grad_norm": 2.3737261295318604, + "learning_rate": 1.1419861184052669e-05, + "loss": 2.4297, + "mean_token_accuracy": 0.4839041084051132, + "step": 2920 + }, + { + "epoch": 0.255515828028255, + "grad_norm": 2.3079073429107666, + "learning_rate": 1.1359568495032505e-05, + "loss": 2.4961, + "mean_token_accuracy": 0.4703522503376007, + "step": 2930 + }, + { + "epoch": 0.25638789570070636, + "grad_norm": 2.304546594619751, + "learning_rate": 1.1299225409545207e-05, + "loss": 2.4383, + "mean_token_accuracy": 0.4810631603002548, + "step": 2940 + }, + { + "epoch": 0.25725996337315776, + "grad_norm": 2.3197596073150635, + "learning_rate": 1.123883416438748e-05, + "loss": 2.4602, + "mean_token_accuracy": 0.4756849333643913, + "step": 2950 + }, + { + "epoch": 0.2581320310456091, + "grad_norm": 2.6116833686828613, + "learning_rate": 1.1178396998141206e-05, + "loss": 2.4445, + "mean_token_accuracy": 0.4768835574388504, + "step": 2960 + }, + { + "epoch": 0.2590040987180605, + "grad_norm": 2.2649593353271484, + "learning_rate": 1.1117916151090469e-05, + "loss": 2.4164, + "mean_token_accuracy": 0.4851516604423523, + "step": 2970 + }, + { + "epoch": 0.2598761663905119, + "grad_norm": 2.3760316371917725, + "learning_rate": 1.1057393865138513e-05, + "loss": 2.4305, + "mean_token_accuracy": 0.4774706453084946, + "step": 2980 + }, + { + "epoch": 0.26074823406296327, + "grad_norm": 2.4932713508605957, + "learning_rate": 1.099683238372464e-05, + "loss": 2.4379, + "mean_token_accuracy": 0.48110322952270507, + "step": 2990 + }, + { + "epoch": 0.2616203017354147, + "grad_norm": 2.40559458732605, + "learning_rate": 1.0936233951741052e-05, + "loss": 2.407, + "mean_token_accuracy": 0.48287671208381655, + "step": 3000 + }, + { + "epoch": 0.2616203017354147, + "eval_runtime": 4.1296, + "eval_samples_per_second": 265.642, + "eval_steps_per_second": 66.592, + "step": 3000 + }, + { + "epoch": 0.2624923694078661, + "grad_norm": 2.17433762550354, + "learning_rate": 1.0875600815449624e-05, + "loss": 2.375, + "mean_token_accuracy": 0.4947896286845207, + "step": 3010 + }, + { + "epoch": 0.2633644370803174, + "grad_norm": 2.4722836017608643, + "learning_rate": 1.081493522239866e-05, + "loss": 2.4648, + "mean_token_accuracy": 0.47459638118743896, + "step": 3020 + }, + { + "epoch": 0.26423650475276883, + "grad_norm": 2.380868673324585, + "learning_rate": 1.075423942133957e-05, + "loss": 2.4008, + "mean_token_accuracy": 0.4884784698486328, + "step": 3030 + }, + { + "epoch": 0.2651085724252202, + "grad_norm": 2.2299351692199707, + "learning_rate": 1.0693515662143505e-05, + "loss": 2.457, + "mean_token_accuracy": 0.4779965773224831, + "step": 3040 + }, + { + "epoch": 0.2659806400976716, + "grad_norm": 2.31659197807312, + "learning_rate": 1.0632766195717979e-05, + "loss": 2.4203, + "mean_token_accuracy": 0.4778620317578316, + "step": 3050 + }, + { + "epoch": 0.266852707770123, + "grad_norm": 2.218075752258301, + "learning_rate": 1.0571993273923412e-05, + "loss": 2.4273, + "mean_token_accuracy": 0.4800146758556366, + "step": 3060 + }, + { + "epoch": 0.26772477544257434, + "grad_norm": 2.0592129230499268, + "learning_rate": 1.0511199149489673e-05, + "loss": 2.4133, + "mean_token_accuracy": 0.48199608474969863, + "step": 3070 + }, + { + "epoch": 0.26859684311502574, + "grad_norm": 2.2392261028289795, + "learning_rate": 1.0450386075932571e-05, + "loss": 2.4152, + "mean_token_accuracy": 0.48124999552965164, + "step": 3080 + }, + { + "epoch": 0.2694689107874771, + "grad_norm": 2.229623317718506, + "learning_rate": 1.0389556307470316e-05, + "loss": 2.4352, + "mean_token_accuracy": 0.47666340619325637, + "step": 3090 + }, + { + "epoch": 0.2703409784599285, + "grad_norm": 2.517035722732544, + "learning_rate": 1.0328712098939968e-05, + "loss": 2.5031, + "mean_token_accuracy": 0.47388698607683183, + "step": 3100 + }, + { + "epoch": 0.2703409784599285, + "eval_runtime": 4.1258, + "eval_samples_per_second": 265.885, + "eval_steps_per_second": 66.653, + "step": 3100 + }, + { + "epoch": 0.2712130461323799, + "grad_norm": 2.2601687908172607, + "learning_rate": 1.0267855705713854e-05, + "loss": 2.3766, + "mean_token_accuracy": 0.48773238658905027, + "step": 3110 + }, + { + "epoch": 0.27208511380483125, + "grad_norm": 2.390767812728882, + "learning_rate": 1.020698938361595e-05, + "loss": 2.4531, + "mean_token_accuracy": 0.4725905120372772, + "step": 3120 + }, + { + "epoch": 0.27295718147728265, + "grad_norm": 2.3313021659851074, + "learning_rate": 1.0146115388838293e-05, + "loss": 2.3766, + "mean_token_accuracy": 0.4869129091501236, + "step": 3130 + }, + { + "epoch": 0.273829249149734, + "grad_norm": 2.6201083660125732, + "learning_rate": 1.0085235977857322e-05, + "loss": 2.3461, + "mean_token_accuracy": 0.4963551893830299, + "step": 3140 + }, + { + "epoch": 0.2747013168221854, + "grad_norm": 2.2642321586608887, + "learning_rate": 1.002435340735024e-05, + "loss": 2.3953, + "mean_token_accuracy": 0.482399708032608, + "step": 3150 + }, + { + "epoch": 0.2755733844946368, + "grad_norm": 2.377150297164917, + "learning_rate": 9.963469934111374e-06, + "loss": 2.368, + "mean_token_accuracy": 0.4929549887776375, + "step": 3160 + }, + { + "epoch": 0.27644545216708816, + "grad_norm": 2.124990463256836, + "learning_rate": 9.90258781496851e-06, + "loss": 2.4477, + "mean_token_accuracy": 0.47852250635623933, + "step": 3170 + }, + { + "epoch": 0.27731751983953956, + "grad_norm": 2.2240705490112305, + "learning_rate": 9.841709306699245e-06, + "loss": 2.4398, + "mean_token_accuracy": 0.4784246563911438, + "step": 3180 + }, + { + "epoch": 0.2781895875119909, + "grad_norm": 2.230926990509033, + "learning_rate": 9.78083666594732e-06, + "loss": 2.4586, + "mean_token_accuracy": 0.4777524918317795, + "step": 3190 + }, + { + "epoch": 0.2790616551844423, + "grad_norm": 2.1134297847747803, + "learning_rate": 9.719972149138985e-06, + "loss": 2.4109, + "mean_token_accuracy": 0.48686399310827255, + "step": 3200 + }, + { + "epoch": 0.2790616551844423, + "eval_runtime": 4.1351, + "eval_samples_per_second": 265.293, + "eval_steps_per_second": 66.505, + "step": 3200 + }, + { + "epoch": 0.2799337228568937, + "grad_norm": 2.3881607055664062, + "learning_rate": 9.659118012399352e-06, + "loss": 2.4234, + "mean_token_accuracy": 0.47910958975553514, + "step": 3210 + }, + { + "epoch": 0.28080579052934507, + "grad_norm": 2.328941583633423, + "learning_rate": 9.598276511468763e-06, + "loss": 2.3266, + "mean_token_accuracy": 0.49437377601861954, + "step": 3220 + }, + { + "epoch": 0.28167785820179647, + "grad_norm": 2.4462809562683105, + "learning_rate": 9.537449901619174e-06, + "loss": 2.418, + "mean_token_accuracy": 0.47892612367868426, + "step": 3230 + }, + { + "epoch": 0.2825499258742478, + "grad_norm": 2.4129433631896973, + "learning_rate": 9.476640437570562e-06, + "loss": 2.5, + "mean_token_accuracy": 0.47085371911525725, + "step": 3240 + }, + { + "epoch": 0.2834219935466992, + "grad_norm": 2.2412469387054443, + "learning_rate": 9.415850373407342e-06, + "loss": 2.3937, + "mean_token_accuracy": 0.48611790835857394, + "step": 3250 + }, + { + "epoch": 0.28429406121915063, + "grad_norm": 2.274876832962036, + "learning_rate": 9.355081962494815e-06, + "loss": 2.3258, + "mean_token_accuracy": 0.49866669028997423, + "step": 3260 + }, + { + "epoch": 0.285166128891602, + "grad_norm": 2.426975727081299, + "learning_rate": 9.294337457395638e-06, + "loss": 2.3586, + "mean_token_accuracy": 0.4943248525261879, + "step": 3270 + }, + { + "epoch": 0.2860381965640534, + "grad_norm": 2.616424560546875, + "learning_rate": 9.233619109786332e-06, + "loss": 2.3852, + "mean_token_accuracy": 0.49368884563446047, + "step": 3280 + }, + { + "epoch": 0.28691026423650473, + "grad_norm": 2.2738358974456787, + "learning_rate": 9.172929170373804e-06, + "loss": 2.4328, + "mean_token_accuracy": 0.4826076328754425, + "step": 3290 + }, + { + "epoch": 0.28778233190895613, + "grad_norm": 2.235522508621216, + "learning_rate": 9.112269888811934e-06, + "loss": 2.4297, + "mean_token_accuracy": 0.47972113341093064, + "step": 3300 + }, + { + "epoch": 0.28778233190895613, + "eval_runtime": 4.1164, + "eval_samples_per_second": 266.497, + "eval_steps_per_second": 66.806, + "step": 3300 + }, + { + "epoch": 0.28865439958140754, + "grad_norm": 2.2078049182891846, + "learning_rate": 9.051643513618176e-06, + "loss": 2.3875, + "mean_token_accuracy": 0.48949363827705383, + "step": 3310 + }, + { + "epoch": 0.2895264672538589, + "grad_norm": 2.2486748695373535, + "learning_rate": 8.99105229209021e-06, + "loss": 2.4516, + "mean_token_accuracy": 0.4734711334109306, + "step": 3320 + }, + { + "epoch": 0.2903985349263103, + "grad_norm": 2.2248547077178955, + "learning_rate": 8.930498470222641e-06, + "loss": 2.4797, + "mean_token_accuracy": 0.4729818940162659, + "step": 3330 + }, + { + "epoch": 0.29127060259876164, + "grad_norm": 2.356717109680176, + "learning_rate": 8.86998429262374e-06, + "loss": 2.3867, + "mean_token_accuracy": 0.4878180056810379, + "step": 3340 + }, + { + "epoch": 0.29214267027121305, + "grad_norm": 2.064194440841675, + "learning_rate": 8.809512002432252e-06, + "loss": 2.3586, + "mean_token_accuracy": 0.4933463826775551, + "step": 3350 + }, + { + "epoch": 0.29301473794366445, + "grad_norm": 2.367587089538574, + "learning_rate": 8.749083841234235e-06, + "loss": 2.4414, + "mean_token_accuracy": 0.4839774936437607, + "step": 3360 + }, + { + "epoch": 0.2938868056161158, + "grad_norm": 2.2674319744110107, + "learning_rate": 8.688702048979974e-06, + "loss": 2.4281, + "mean_token_accuracy": 0.4836839586496353, + "step": 3370 + }, + { + "epoch": 0.2947588732885672, + "grad_norm": 2.0621237754821777, + "learning_rate": 8.628368863900954e-06, + "loss": 2.3891, + "mean_token_accuracy": 0.4839285686612129, + "step": 3380 + }, + { + "epoch": 0.29563094096101855, + "grad_norm": 2.0860073566436768, + "learning_rate": 8.568086522426884e-06, + "loss": 2.4141, + "mean_token_accuracy": 0.48272994011640546, + "step": 3390 + }, + { + "epoch": 0.29650300863346996, + "grad_norm": 1.9796204566955566, + "learning_rate": 8.507857259102814e-06, + "loss": 2.3805, + "mean_token_accuracy": 0.49032534658908844, + "step": 3400 + }, + { + "epoch": 0.29650300863346996, + "eval_runtime": 4.1278, + "eval_samples_per_second": 265.762, + "eval_steps_per_second": 66.622, + "step": 3400 + }, + { + "epoch": 0.29737507630592136, + "grad_norm": 2.121955156326294, + "learning_rate": 8.447683306506279e-06, + "loss": 2.4219, + "mean_token_accuracy": 0.4785102754831314, + "step": 3410 + }, + { + "epoch": 0.2982471439783727, + "grad_norm": 2.1485984325408936, + "learning_rate": 8.387566895164566e-06, + "loss": 2.3625, + "mean_token_accuracy": 0.48655821681022643, + "step": 3420 + }, + { + "epoch": 0.2991192116508241, + "grad_norm": 2.2083539962768555, + "learning_rate": 8.327510253472023e-06, + "loss": 2.4484, + "mean_token_accuracy": 0.4772749498486519, + "step": 3430 + }, + { + "epoch": 0.29999127932327546, + "grad_norm": 2.421006679534912, + "learning_rate": 8.267515607607458e-06, + "loss": 2.3602, + "mean_token_accuracy": 0.49372553676366804, + "step": 3440 + }, + { + "epoch": 0.30086334699572687, + "grad_norm": 2.2537267208099365, + "learning_rate": 8.207585181451611e-06, + "loss": 2.3539, + "mean_token_accuracy": 0.4897137925028801, + "step": 3450 + }, + { + "epoch": 0.30173541466817827, + "grad_norm": 2.2362277507781982, + "learning_rate": 8.147721196504736e-06, + "loss": 2.3469, + "mean_token_accuracy": 0.4916218236088753, + "step": 3460 + }, + { + "epoch": 0.3026074823406296, + "grad_norm": 2.214308500289917, + "learning_rate": 8.08792587180424e-06, + "loss": 2.4312, + "mean_token_accuracy": 0.4826320931315422, + "step": 3470 + }, + { + "epoch": 0.303479550013081, + "grad_norm": 2.031965494155884, + "learning_rate": 8.028201423842437e-06, + "loss": 2.3883, + "mean_token_accuracy": 0.4820817068219185, + "step": 3480 + }, + { + "epoch": 0.30435161768553237, + "grad_norm": 2.043548345565796, + "learning_rate": 7.96855006648438e-06, + "loss": 2.3687, + "mean_token_accuracy": 0.490300877392292, + "step": 3490 + }, + { + "epoch": 0.3052236853579838, + "grad_norm": 2.2613983154296875, + "learning_rate": 7.908974010885795e-06, + "loss": 2.4477, + "mean_token_accuracy": 0.48006359934806825, + "step": 3500 + }, + { + "epoch": 0.3052236853579838, + "eval_runtime": 4.139, + "eval_samples_per_second": 265.042, + "eval_steps_per_second": 66.442, + "step": 3500 + }, + { + "epoch": 0.3060957530304352, + "grad_norm": 2.0631442070007324, + "learning_rate": 7.849475465411136e-06, + "loss": 2.343, + "mean_token_accuracy": 0.49260029643774034, + "step": 3510 + }, + { + "epoch": 0.30696782070288653, + "grad_norm": 2.1512322425842285, + "learning_rate": 7.790056635551704e-06, + "loss": 2.3859, + "mean_token_accuracy": 0.4881727024912834, + "step": 3520 + }, + { + "epoch": 0.30783988837533793, + "grad_norm": 2.205146312713623, + "learning_rate": 7.730719723843903e-06, + "loss": 2.425, + "mean_token_accuracy": 0.48297456055879595, + "step": 3530 + }, + { + "epoch": 0.3087119560477893, + "grad_norm": 2.0500307083129883, + "learning_rate": 7.671466929787598e-06, + "loss": 2.3531, + "mean_token_accuracy": 0.49005626142024994, + "step": 3540 + }, + { + "epoch": 0.3095840237202407, + "grad_norm": 2.2774555683135986, + "learning_rate": 7.61230044976458e-06, + "loss": 2.4227, + "mean_token_accuracy": 0.4837206467986107, + "step": 3550 + }, + { + "epoch": 0.3104560913926921, + "grad_norm": 2.146467685699463, + "learning_rate": 7.553222476957157e-06, + "loss": 2.4066, + "mean_token_accuracy": 0.4871453046798706, + "step": 3560 + }, + { + "epoch": 0.31132815906514344, + "grad_norm": 2.130199432373047, + "learning_rate": 7.494235201266849e-06, + "loss": 2.3703, + "mean_token_accuracy": 0.4913405105471611, + "step": 3570 + }, + { + "epoch": 0.31220022673759484, + "grad_norm": 2.045860528945923, + "learning_rate": 7.435340809233218e-06, + "loss": 2.3805, + "mean_token_accuracy": 0.49107863306999205, + "step": 3580 + }, + { + "epoch": 0.3130722944100462, + "grad_norm": 2.120117664337158, + "learning_rate": 7.376541483952811e-06, + "loss": 2.4129, + "mean_token_accuracy": 0.48899217396974565, + "step": 3590 + }, + { + "epoch": 0.3139443620824976, + "grad_norm": 2.115574836730957, + "learning_rate": 7.3178394049982485e-06, + "loss": 2.3492, + "mean_token_accuracy": 0.49445939213037493, + "step": 3600 + }, + { + "epoch": 0.3139443620824976, + "eval_runtime": 4.1276, + "eval_samples_per_second": 265.769, + "eval_steps_per_second": 66.624, + "step": 3600 + }, + { + "epoch": 0.314816429754949, + "grad_norm": 2.1968657970428467, + "learning_rate": 7.259236748337421e-06, + "loss": 2.3672, + "mean_token_accuracy": 0.4955968618392944, + "step": 3610 + }, + { + "epoch": 0.31568849742740035, + "grad_norm": 2.1085331439971924, + "learning_rate": 7.20073568625284e-06, + "loss": 2.4242, + "mean_token_accuracy": 0.4839285746216774, + "step": 3620 + }, + { + "epoch": 0.31656056509985175, + "grad_norm": 2.282261371612549, + "learning_rate": 7.1423383872611045e-06, + "loss": 2.4078, + "mean_token_accuracy": 0.4873287633061409, + "step": 3630 + }, + { + "epoch": 0.31743263277230316, + "grad_norm": 2.081146001815796, + "learning_rate": 7.084047016032528e-06, + "loss": 2.4125, + "mean_token_accuracy": 0.4849804311990738, + "step": 3640 + }, + { + "epoch": 0.3183047004447545, + "grad_norm": 2.186483860015869, + "learning_rate": 7.025863733310894e-06, + "loss": 2.3113, + "mean_token_accuracy": 0.49919275790452955, + "step": 3650 + }, + { + "epoch": 0.3191767681172059, + "grad_norm": 2.1311113834381104, + "learning_rate": 6.967790695833363e-06, + "loss": 2.418, + "mean_token_accuracy": 0.480821917951107, + "step": 3660 + }, + { + "epoch": 0.32004883578965726, + "grad_norm": 2.197826862335205, + "learning_rate": 6.909830056250527e-06, + "loss": 2.3242, + "mean_token_accuracy": 0.4950107797980309, + "step": 3670 + }, + { + "epoch": 0.32092090346210866, + "grad_norm": 2.15081787109375, + "learning_rate": 6.851983963046612e-06, + "loss": 2.3578, + "mean_token_accuracy": 0.4879647806286812, + "step": 3680 + }, + { + "epoch": 0.32179297113456007, + "grad_norm": 2.2143335342407227, + "learning_rate": 6.794254560459843e-06, + "loss": 2.3523, + "mean_token_accuracy": 0.4926002904772758, + "step": 3690 + }, + { + "epoch": 0.3226650388070114, + "grad_norm": 2.1243338584899902, + "learning_rate": 6.736643988402958e-06, + "loss": 2.3445, + "mean_token_accuracy": 0.491523976624012, + "step": 3700 + }, + { + "epoch": 0.3226650388070114, + "eval_runtime": 4.1266, + "eval_samples_per_second": 265.835, + "eval_steps_per_second": 66.641, + "step": 3700 + }, + { + "epoch": 0.3235371064794628, + "grad_norm": 2.232715129852295, + "learning_rate": 6.679154382383883e-06, + "loss": 2.4125, + "mean_token_accuracy": 0.48493150621652603, + "step": 3710 + }, + { + "epoch": 0.32440917415191417, + "grad_norm": 2.0074570178985596, + "learning_rate": 6.621787873426581e-06, + "loss": 2.4117, + "mean_token_accuracy": 0.48068737834692, + "step": 3720 + }, + { + "epoch": 0.3252812418243656, + "grad_norm": 2.1245803833007812, + "learning_rate": 6.564546587992054e-06, + "loss": 2.334, + "mean_token_accuracy": 0.49477739483118055, + "step": 3730 + }, + { + "epoch": 0.326153309496817, + "grad_norm": 2.26165771484375, + "learning_rate": 6.507432647899519e-06, + "loss": 2.4367, + "mean_token_accuracy": 0.47766634076833725, + "step": 3740 + }, + { + "epoch": 0.3270253771692683, + "grad_norm": 2.1744251251220703, + "learning_rate": 6.450448170247757e-06, + "loss": 2.3188, + "mean_token_accuracy": 0.4967098832130432, + "step": 3750 + }, + { + "epoch": 0.32789744484171973, + "grad_norm": 2.172355890274048, + "learning_rate": 6.393595267336639e-06, + "loss": 2.3609, + "mean_token_accuracy": 0.4897871851921082, + "step": 3760 + }, + { + "epoch": 0.3287695125141711, + "grad_norm": 2.1196014881134033, + "learning_rate": 6.3368760465888226e-06, + "loss": 2.3984, + "mean_token_accuracy": 0.48364725708961487, + "step": 3770 + }, + { + "epoch": 0.3296415801866225, + "grad_norm": 2.280076265335083, + "learning_rate": 6.280292610471639e-06, + "loss": 2.4102, + "mean_token_accuracy": 0.48471134901046753, + "step": 3780 + }, + { + "epoch": 0.3305136478590739, + "grad_norm": 2.1347899436950684, + "learning_rate": 6.223847056419154e-06, + "loss": 2.3781, + "mean_token_accuracy": 0.4850171208381653, + "step": 3790 + }, + { + "epoch": 0.33138571553152524, + "grad_norm": 2.0589747428894043, + "learning_rate": 6.1675414767544285e-06, + "loss": 2.3773, + "mean_token_accuracy": 0.48522505164146423, + "step": 3800 + }, + { + "epoch": 0.33138571553152524, + "eval_runtime": 4.1359, + "eval_samples_per_second": 265.237, + "eval_steps_per_second": 66.491, + "step": 3800 + }, + { + "epoch": 0.33225778320397664, + "grad_norm": 2.307960033416748, + "learning_rate": 6.111377958611948e-06, + "loss": 2.3523, + "mean_token_accuracy": 0.49088796228170395, + "step": 3810 + }, + { + "epoch": 0.333129850876428, + "grad_norm": 2.280006170272827, + "learning_rate": 6.055358583860267e-06, + "loss": 2.3648, + "mean_token_accuracy": 0.48813600838184357, + "step": 3820 + }, + { + "epoch": 0.3340019185488794, + "grad_norm": 2.254883289337158, + "learning_rate": 5.99948542902483e-06, + "loss": 2.3293, + "mean_token_accuracy": 0.49653864800930025, + "step": 3830 + }, + { + "epoch": 0.3348739862213308, + "grad_norm": 1.9811010360717773, + "learning_rate": 5.943760565211011e-06, + "loss": 2.4008, + "mean_token_accuracy": 0.481568007171154, + "step": 3840 + }, + { + "epoch": 0.33574605389378215, + "grad_norm": 2.3965861797332764, + "learning_rate": 5.8881860580273285e-06, + "loss": 2.4039, + "mean_token_accuracy": 0.485922209918499, + "step": 3850 + }, + { + "epoch": 0.33661812156623355, + "grad_norm": 2.1080493927001953, + "learning_rate": 5.832763967508885e-06, + "loss": 2.4672, + "mean_token_accuracy": 0.4722602769732475, + "step": 3860 + }, + { + "epoch": 0.3374901892386849, + "grad_norm": 2.0131046772003174, + "learning_rate": 5.777496348041009e-06, + "loss": 2.3266, + "mean_token_accuracy": 0.5004647761583328, + "step": 3870 + }, + { + "epoch": 0.3383622569111363, + "grad_norm": 2.074880361557007, + "learning_rate": 5.722385248283092e-06, + "loss": 2.366, + "mean_token_accuracy": 0.49074119329452515, + "step": 3880 + }, + { + "epoch": 0.3392343245835877, + "grad_norm": 2.1542370319366455, + "learning_rate": 5.667432711092651e-06, + "loss": 2.3734, + "mean_token_accuracy": 0.48516389429569245, + "step": 3890 + }, + { + "epoch": 0.34010639225603906, + "grad_norm": 2.1824331283569336, + "learning_rate": 5.61264077344962e-06, + "loss": 2.4047, + "mean_token_accuracy": 0.4858365938067436, + "step": 3900 + }, + { + "epoch": 0.34010639225603906, + "eval_runtime": 4.1271, + "eval_samples_per_second": 265.807, + "eval_steps_per_second": 66.633, + "step": 3900 + }, + { + "epoch": 0.34097845992849046, + "grad_norm": 2.2174854278564453, + "learning_rate": 5.558011466380824e-06, + "loss": 2.332, + "mean_token_accuracy": 0.4895425647497177, + "step": 3910 + }, + { + "epoch": 0.3418505276009418, + "grad_norm": 2.2615621089935303, + "learning_rate": 5.5035468148846926e-06, + "loss": 2.3547, + "mean_token_accuracy": 0.4897382602095604, + "step": 3920 + }, + { + "epoch": 0.3427225952733932, + "grad_norm": 1.976144552230835, + "learning_rate": 5.449248837856224e-06, + "loss": 2.3344, + "mean_token_accuracy": 0.49690557420253756, + "step": 3930 + }, + { + "epoch": 0.3435946629458446, + "grad_norm": 2.3247182369232178, + "learning_rate": 5.395119548012112e-06, + "loss": 2.4062, + "mean_token_accuracy": 0.4821917787194252, + "step": 3940 + }, + { + "epoch": 0.34446673061829597, + "grad_norm": 2.0668063163757324, + "learning_rate": 5.34116095181616e-06, + "loss": 2.3508, + "mean_token_accuracy": 0.49102250188589097, + "step": 3950 + }, + { + "epoch": 0.3453387982907474, + "grad_norm": 2.0769951343536377, + "learning_rate": 5.287375049404909e-06, + "loss": 2.3492, + "mean_token_accuracy": 0.49485077410936357, + "step": 3960 + }, + { + "epoch": 0.3462108659631987, + "grad_norm": 2.0995266437530518, + "learning_rate": 5.233763834513479e-06, + "loss": 2.3102, + "mean_token_accuracy": 0.49756604582071307, + "step": 3970 + }, + { + "epoch": 0.3470829336356501, + "grad_norm": 2.2599644660949707, + "learning_rate": 5.180329294401685e-06, + "loss": 2.2895, + "mean_token_accuracy": 0.5033390417695045, + "step": 3980 + }, + { + "epoch": 0.34795500130810153, + "grad_norm": 2.1868715286254883, + "learning_rate": 5.127073409780352e-06, + "loss": 2.3727, + "mean_token_accuracy": 0.48818493634462357, + "step": 3990 + }, + { + "epoch": 0.3488270689805529, + "grad_norm": 2.258998155593872, + "learning_rate": 5.0739981547379215e-06, + "loss": 2.3609, + "mean_token_accuracy": 0.4893101766705513, + "step": 4000 + }, + { + "epoch": 0.3488270689805529, + "eval_runtime": 4.1316, + "eval_samples_per_second": 265.513, + "eval_steps_per_second": 66.56, + "step": 4000 + }, + { + "epoch": 0.3496991366530043, + "grad_norm": 2.1525726318359375, + "learning_rate": 5.02110549666724e-06, + "loss": 2.3207, + "mean_token_accuracy": 0.49832436740398406, + "step": 4010 + }, + { + "epoch": 0.35057120432545563, + "grad_norm": 2.147263765335083, + "learning_rate": 4.968397396192675e-06, + "loss": 2.309, + "mean_token_accuracy": 0.49854451715946196, + "step": 4020 + }, + { + "epoch": 0.35144327199790704, + "grad_norm": 2.076788902282715, + "learning_rate": 4.91587580709739e-06, + "loss": 2.357, + "mean_token_accuracy": 0.49258806109428405, + "step": 4030 + }, + { + "epoch": 0.35231533967035844, + "grad_norm": 2.206960678100586, + "learning_rate": 4.863542676250972e-06, + "loss": 2.2434, + "mean_token_accuracy": 0.5102005824446678, + "step": 4040 + }, + { + "epoch": 0.3531874073428098, + "grad_norm": 2.139472723007202, + "learning_rate": 4.811399943537223e-06, + "loss": 2.3641, + "mean_token_accuracy": 0.48745107650756836, + "step": 4050 + }, + { + "epoch": 0.3540594750152612, + "grad_norm": 2.048004150390625, + "learning_rate": 4.759449541782272e-06, + "loss": 2.3406, + "mean_token_accuracy": 0.4988502934575081, + "step": 4060 + }, + { + "epoch": 0.35493154268771254, + "grad_norm": 2.0867536067962646, + "learning_rate": 4.707693396682936e-06, + "loss": 2.3402, + "mean_token_accuracy": 0.49681996256113053, + "step": 4070 + }, + { + "epoch": 0.35580361036016395, + "grad_norm": 2.113605499267578, + "learning_rate": 4.656133426735315e-06, + "loss": 2.3566, + "mean_token_accuracy": 0.49332191944122317, + "step": 4080 + }, + { + "epoch": 0.35667567803261535, + "grad_norm": 2.0393636226654053, + "learning_rate": 4.604771543163706e-06, + "loss": 2.3758, + "mean_token_accuracy": 0.4844178080558777, + "step": 4090 + }, + { + "epoch": 0.3575477457050667, + "grad_norm": 2.128659248352051, + "learning_rate": 4.5536096498497295e-06, + "loss": 2.4016, + "mean_token_accuracy": 0.48309687077999114, + "step": 4100 + }, + { + "epoch": 0.3575477457050667, + "eval_runtime": 4.1322, + "eval_samples_per_second": 265.473, + "eval_steps_per_second": 66.55, + "step": 4100 + }, + { + "epoch": 0.3584198133775181, + "grad_norm": 1.9973739385604858, + "learning_rate": 4.502649643261779e-06, + "loss": 2.3148, + "mean_token_accuracy": 0.49669764935970306, + "step": 4110 + }, + { + "epoch": 0.35929188104996945, + "grad_norm": 2.3340232372283936, + "learning_rate": 4.451893412384707e-06, + "loss": 2.4094, + "mean_token_accuracy": 0.4848458930850029, + "step": 4120 + }, + { + "epoch": 0.36016394872242086, + "grad_norm": 2.3038649559020996, + "learning_rate": 4.401342838649818e-06, + "loss": 2.2703, + "mean_token_accuracy": 0.5089774921536445, + "step": 4130 + }, + { + "epoch": 0.36103601639487226, + "grad_norm": 2.1178901195526123, + "learning_rate": 4.350999795865109e-06, + "loss": 2.3234, + "mean_token_accuracy": 0.49991438537836075, + "step": 4140 + }, + { + "epoch": 0.3619080840673236, + "grad_norm": 2.2649543285369873, + "learning_rate": 4.300866150145837e-06, + "loss": 2.3312, + "mean_token_accuracy": 0.49960860460996626, + "step": 4150 + }, + { + "epoch": 0.362780151739775, + "grad_norm": 2.2314608097076416, + "learning_rate": 4.250943759845316e-06, + "loss": 2.3129, + "mean_token_accuracy": 0.49867905825376513, + "step": 4160 + }, + { + "epoch": 0.36365221941222636, + "grad_norm": 2.194746494293213, + "learning_rate": 4.201234475486063e-06, + "loss": 2.3188, + "mean_token_accuracy": 0.4971501961350441, + "step": 4170 + }, + { + "epoch": 0.36452428708467777, + "grad_norm": 2.028311014175415, + "learning_rate": 4.1517401396911725e-06, + "loss": 2.3961, + "mean_token_accuracy": 0.48145792335271836, + "step": 4180 + }, + { + "epoch": 0.36539635475712917, + "grad_norm": 1.9685331583023071, + "learning_rate": 4.1024625871160325e-06, + "loss": 2.3188, + "mean_token_accuracy": 0.4981164366006851, + "step": 4190 + }, + { + "epoch": 0.3662684224295805, + "grad_norm": 2.0334181785583496, + "learning_rate": 4.053403644380321e-06, + "loss": 2.3031, + "mean_token_accuracy": 0.4970034271478653, + "step": 4200 + }, + { + "epoch": 0.3662684224295805, + "eval_runtime": 4.1298, + "eval_samples_per_second": 265.631, + "eval_steps_per_second": 66.589, + "step": 4200 + }, + { + "epoch": 0.3671404901020319, + "grad_norm": 2.1037611961364746, + "learning_rate": 4.004565130000277e-06, + "loss": 2.3398, + "mean_token_accuracy": 0.4928326889872551, + "step": 4210 + }, + { + "epoch": 0.3680125577744833, + "grad_norm": 2.0131285190582275, + "learning_rate": 3.955948854321321e-06, + "loss": 2.3473, + "mean_token_accuracy": 0.4952543988823891, + "step": 4220 + }, + { + "epoch": 0.3688846254469347, + "grad_norm": 2.2105581760406494, + "learning_rate": 3.907556619450909e-06, + "loss": 2.3594, + "mean_token_accuracy": 0.49208659380674363, + "step": 4230 + }, + { + "epoch": 0.3697566931193861, + "grad_norm": 2.18249249458313, + "learning_rate": 3.859390219191775e-06, + "loss": 2.3383, + "mean_token_accuracy": 0.49487524628639223, + "step": 4240 + }, + { + "epoch": 0.37062876079183743, + "grad_norm": 2.298351526260376, + "learning_rate": 3.8114514389754098e-06, + "loss": 2.3234, + "mean_token_accuracy": 0.4956824779510498, + "step": 4250 + }, + { + "epoch": 0.37150082846428883, + "grad_norm": 1.9789235591888428, + "learning_rate": 3.7637420557958927e-06, + "loss": 2.3328, + "mean_token_accuracy": 0.5002323850989342, + "step": 4260 + }, + { + "epoch": 0.3723728961367402, + "grad_norm": 1.997238278388977, + "learning_rate": 3.7162638381440077e-06, + "loss": 2.3242, + "mean_token_accuracy": 0.4988869816064835, + "step": 4270 + }, + { + "epoch": 0.3732449638091916, + "grad_norm": 2.1409740447998047, + "learning_rate": 3.6690185459417107e-06, + "loss": 2.3516, + "mean_token_accuracy": 0.4943248450756073, + "step": 4280 + }, + { + "epoch": 0.374117031481643, + "grad_norm": 2.154865264892578, + "learning_rate": 3.622007930476865e-06, + "loss": 2.2715, + "mean_token_accuracy": 0.5112769082188606, + "step": 4290 + }, + { + "epoch": 0.37498909915409434, + "grad_norm": 1.9980154037475586, + "learning_rate": 3.575233734338356e-06, + "loss": 2.3711, + "mean_token_accuracy": 0.48721868693828585, + "step": 4300 + }, + { + "epoch": 0.37498909915409434, + "eval_runtime": 4.1412, + "eval_samples_per_second": 264.896, + "eval_steps_per_second": 66.405, + "step": 4300 + }, + { + "epoch": 0.37586116682654575, + "grad_norm": 2.0769875049591064, + "learning_rate": 3.528697691351465e-06, + "loss": 2.3777, + "mean_token_accuracy": 0.48463796377182006, + "step": 4310 + }, + { + "epoch": 0.37673323449899715, + "grad_norm": 2.0686168670654297, + "learning_rate": 3.4824015265136278e-06, + "loss": 2.3719, + "mean_token_accuracy": 0.49126712083816526, + "step": 4320 + }, + { + "epoch": 0.3776053021714485, + "grad_norm": 2.0578701496124268, + "learning_rate": 3.436346955930472e-06, + "loss": 2.3258, + "mean_token_accuracy": 0.4986301362514496, + "step": 4330 + }, + { + "epoch": 0.3784773698438999, + "grad_norm": 2.1568634510040283, + "learning_rate": 3.3905356867522187e-06, + "loss": 2.407, + "mean_token_accuracy": 0.4819593921303749, + "step": 4340 + }, + { + "epoch": 0.37934943751635125, + "grad_norm": 2.247126579284668, + "learning_rate": 3.344969417110391e-06, + "loss": 2.3586, + "mean_token_accuracy": 0.49480186104774476, + "step": 4350 + }, + { + "epoch": 0.38022150518880266, + "grad_norm": 2.140596628189087, + "learning_rate": 3.29964983605487e-06, + "loss": 2.4055, + "mean_token_accuracy": 0.48425880670547483, + "step": 4360 + }, + { + "epoch": 0.38109357286125406, + "grad_norm": 2.1944921016693115, + "learning_rate": 3.2545786234913e-06, + "loss": 2.2797, + "mean_token_accuracy": 0.504990217089653, + "step": 4370 + }, + { + "epoch": 0.3819656405337054, + "grad_norm": 2.0062012672424316, + "learning_rate": 3.2097574501187877e-06, + "loss": 2.3438, + "mean_token_accuracy": 0.49622064679861067, + "step": 4380 + }, + { + "epoch": 0.3828377082061568, + "grad_norm": 1.9321141242980957, + "learning_rate": 3.165187977368007e-06, + "loss": 2.3047, + "mean_token_accuracy": 0.4987035199999809, + "step": 4390 + }, + { + "epoch": 0.38370977587860816, + "grad_norm": 2.3334603309631348, + "learning_rate": 3.120871857339582e-06, + "loss": 2.4016, + "mean_token_accuracy": 0.48373287320137026, + "step": 4400 + }, + { + "epoch": 0.38370977587860816, + "eval_runtime": 4.1288, + "eval_samples_per_second": 265.693, + "eval_steps_per_second": 66.605, + "step": 4400 + }, + { + "epoch": 0.38458184355105957, + "grad_norm": 2.1358065605163574, + "learning_rate": 3.0768107327428766e-06, + "loss": 2.3242, + "mean_token_accuracy": 0.5046844437718392, + "step": 4410 + }, + { + "epoch": 0.38545391122351097, + "grad_norm": 2.107206344604492, + "learning_rate": 3.033006236835071e-06, + "loss": 2.3258, + "mean_token_accuracy": 0.4933341518044472, + "step": 4420 + }, + { + "epoch": 0.3863259788959623, + "grad_norm": 2.5342905521392822, + "learning_rate": 2.9894599933606518e-06, + "loss": 2.3164, + "mean_token_accuracy": 0.500330239534378, + "step": 4430 + }, + { + "epoch": 0.3871980465684137, + "grad_norm": 1.9564285278320312, + "learning_rate": 2.9461736164911934e-06, + "loss": 2.2578, + "mean_token_accuracy": 0.5108610525727272, + "step": 4440 + }, + { + "epoch": 0.38807011424086507, + "grad_norm": 2.2510104179382324, + "learning_rate": 2.903148710765552e-06, + "loss": 2.3363, + "mean_token_accuracy": 0.4905332654714584, + "step": 4450 + }, + { + "epoch": 0.3889421819133165, + "grad_norm": 2.2085652351379395, + "learning_rate": 2.8603868710303662e-06, + "loss": 2.2797, + "mean_token_accuracy": 0.5062377706170083, + "step": 4460 + }, + { + "epoch": 0.3898142495857679, + "grad_norm": 2.299708366394043, + "learning_rate": 2.8178896823809465e-06, + "loss": 2.3438, + "mean_token_accuracy": 0.48997064381837846, + "step": 4470 + }, + { + "epoch": 0.39068631725821923, + "grad_norm": 2.1641745567321777, + "learning_rate": 2.7756587201025297e-06, + "loss": 2.3352, + "mean_token_accuracy": 0.4941291570663452, + "step": 4480 + }, + { + "epoch": 0.39155838493067063, + "grad_norm": 2.290093183517456, + "learning_rate": 2.7336955496118666e-06, + "loss": 2.3477, + "mean_token_accuracy": 0.49297945350408556, + "step": 4490 + }, + { + "epoch": 0.392430452603122, + "grad_norm": 2.1219727993011475, + "learning_rate": 2.692001726399215e-06, + "loss": 2.3477, + "mean_token_accuracy": 0.49052103608846664, + "step": 4500 + }, + { + "epoch": 0.392430452603122, + "eval_runtime": 4.1268, + "eval_samples_per_second": 265.824, + "eval_steps_per_second": 66.638, + "step": 4500 + }, + { + "epoch": 0.3933025202755734, + "grad_norm": 2.1446876525878906, + "learning_rate": 2.6505787959706607e-06, + "loss": 2.2781, + "mean_token_accuracy": 0.5032656565308571, + "step": 4510 + }, + { + "epoch": 0.3941745879480248, + "grad_norm": 2.106083393096924, + "learning_rate": 2.609428293790852e-06, + "loss": 2.2598, + "mean_token_accuracy": 0.5072040125727654, + "step": 4520 + }, + { + "epoch": 0.39504665562047614, + "grad_norm": 2.3130080699920654, + "learning_rate": 2.5685517452260566e-06, + "loss": 2.3641, + "mean_token_accuracy": 0.49031311124563215, + "step": 4530 + }, + { + "epoch": 0.39591872329292754, + "grad_norm": 1.958322525024414, + "learning_rate": 2.5279506654876473e-06, + "loss": 2.2914, + "mean_token_accuracy": 0.49827544689178466, + "step": 4540 + }, + { + "epoch": 0.3967907909653789, + "grad_norm": 2.1239428520202637, + "learning_rate": 2.487626559575911e-06, + "loss": 2.3633, + "mean_token_accuracy": 0.4887964800000191, + "step": 4550 + }, + { + "epoch": 0.3976628586378303, + "grad_norm": 2.608161211013794, + "learning_rate": 2.4475809222242775e-06, + "loss": 2.3383, + "mean_token_accuracy": 0.4964652627706528, + "step": 4560 + }, + { + "epoch": 0.3985349263102817, + "grad_norm": 1.9930739402770996, + "learning_rate": 2.4078152378439033e-06, + "loss": 2.3453, + "mean_token_accuracy": 0.48918786346912385, + "step": 4570 + }, + { + "epoch": 0.39940699398273305, + "grad_norm": 2.3497517108917236, + "learning_rate": 2.3683309804686604e-06, + "loss": 2.3059, + "mean_token_accuracy": 0.4994129166007042, + "step": 4580 + }, + { + "epoch": 0.40027906165518445, + "grad_norm": 2.1560254096984863, + "learning_rate": 2.329129613700478e-06, + "loss": 2.3648, + "mean_token_accuracy": 0.4846257358789444, + "step": 4590 + }, + { + "epoch": 0.4011511293276358, + "grad_norm": 2.169948101043701, + "learning_rate": 2.29021259065511e-06, + "loss": 2.325, + "mean_token_accuracy": 0.49338307082653043, + "step": 4600 + }, + { + "epoch": 0.4011511293276358, + "eval_runtime": 4.1282, + "eval_samples_per_second": 265.73, + "eval_steps_per_second": 66.614, + "step": 4600 + }, + { + "epoch": 0.4020231970000872, + "grad_norm": 1.8934439420700073, + "learning_rate": 2.251581353908252e-06, + "loss": 2.3523, + "mean_token_accuracy": 0.4882583186030388, + "step": 4610 + }, + { + "epoch": 0.4028952646725386, + "grad_norm": 2.186927080154419, + "learning_rate": 2.2132373354420833e-06, + "loss": 2.3242, + "mean_token_accuracy": 0.4932974576950073, + "step": 4620 + }, + { + "epoch": 0.40376733234498996, + "grad_norm": 2.149789571762085, + "learning_rate": 2.1751819565921774e-06, + "loss": 2.3578, + "mean_token_accuracy": 0.4906678080558777, + "step": 4630 + }, + { + "epoch": 0.40463940001744136, + "grad_norm": 1.9236981868743896, + "learning_rate": 2.137416627994814e-06, + "loss": 2.3188, + "mean_token_accuracy": 0.49946184605360033, + "step": 4640 + }, + { + "epoch": 0.4055114676898927, + "grad_norm": 2.2763254642486572, + "learning_rate": 2.0999427495347035e-06, + "loss": 2.3609, + "mean_token_accuracy": 0.49170743972063063, + "step": 4650 + }, + { + "epoch": 0.4063835353623441, + "grad_norm": 2.1921656131744385, + "learning_rate": 2.0627617102930753e-06, + "loss": 2.3414, + "mean_token_accuracy": 0.4888331726193428, + "step": 4660 + }, + { + "epoch": 0.4072556030347955, + "grad_norm": 1.962241530418396, + "learning_rate": 2.02587488849621e-06, + "loss": 2.3109, + "mean_token_accuracy": 0.5015533298254014, + "step": 4670 + }, + { + "epoch": 0.40812767070724687, + "grad_norm": 2.1182403564453125, + "learning_rate": 1.989283651464329e-06, + "loss": 2.343, + "mean_token_accuracy": 0.4896526426076889, + "step": 4680 + }, + { + "epoch": 0.4089997383796983, + "grad_norm": 1.9797334671020508, + "learning_rate": 1.952989355560929e-06, + "loss": 2.3016, + "mean_token_accuracy": 0.5035225063562393, + "step": 4690 + }, + { + "epoch": 0.4098718060521496, + "grad_norm": 2.1399505138397217, + "learning_rate": 1.9169933461424928e-06, + "loss": 2.3422, + "mean_token_accuracy": 0.4882827788591385, + "step": 4700 + }, + { + "epoch": 0.4098718060521496, + "eval_runtime": 4.1337, + "eval_samples_per_second": 265.378, + "eval_steps_per_second": 66.526, + "step": 4700 + }, + { + "epoch": 0.410743873724601, + "grad_norm": 2.1622302532196045, + "learning_rate": 1.8812969575086272e-06, + "loss": 2.3266, + "mean_token_accuracy": 0.49628179967403413, + "step": 4710 + }, + { + "epoch": 0.41161594139705243, + "grad_norm": 2.1700828075408936, + "learning_rate": 1.8459015128525937e-06, + "loss": 2.2379, + "mean_token_accuracy": 0.5100905075669289, + "step": 4720 + }, + { + "epoch": 0.4124880090695038, + "grad_norm": 2.145601272583008, + "learning_rate": 1.8108083242122764e-06, + "loss": 2.2906, + "mean_token_accuracy": 0.498348830640316, + "step": 4730 + }, + { + "epoch": 0.4133600767419552, + "grad_norm": 2.2145471572875977, + "learning_rate": 1.7760186924215239e-06, + "loss": 2.2559, + "mean_token_accuracy": 0.5119618386030197, + "step": 4740 + }, + { + "epoch": 0.41423214441440653, + "grad_norm": 2.026996612548828, + "learning_rate": 1.7415339070619586e-06, + "loss": 2.3305, + "mean_token_accuracy": 0.4923801377415657, + "step": 4750 + }, + { + "epoch": 0.41510421208685794, + "grad_norm": 2.134308099746704, + "learning_rate": 1.7073552464151465e-06, + "loss": 2.3266, + "mean_token_accuracy": 0.4966487348079681, + "step": 4760 + }, + { + "epoch": 0.41597627975930934, + "grad_norm": 2.023016929626465, + "learning_rate": 1.6734839774152322e-06, + "loss": 2.3828, + "mean_token_accuracy": 0.49090019166469573, + "step": 4770 + }, + { + "epoch": 0.4168483474317607, + "grad_norm": 2.044248104095459, + "learning_rate": 1.6399213556019732e-06, + "loss": 2.2711, + "mean_token_accuracy": 0.5051981404423713, + "step": 4780 + }, + { + "epoch": 0.4177204151042121, + "grad_norm": 2.12876296043396, + "learning_rate": 1.6066686250741904e-06, + "loss": 2.3102, + "mean_token_accuracy": 0.5034368902444839, + "step": 4790 + }, + { + "epoch": 0.41859248277666344, + "grad_norm": 1.997663974761963, + "learning_rate": 1.573727018443667e-06, + "loss": 2.343, + "mean_token_accuracy": 0.4941780909895897, + "step": 4800 + }, + { + "epoch": 0.41859248277666344, + "eval_runtime": 4.1277, + "eval_samples_per_second": 265.768, + "eval_steps_per_second": 66.624, + "step": 4800 + }, + { + "epoch": 0.41946455044911485, + "grad_norm": 2.0558156967163086, + "learning_rate": 1.5410977567894403e-06, + "loss": 2.3367, + "mean_token_accuracy": 0.48852739930152894, + "step": 4810 + }, + { + "epoch": 0.42033661812156625, + "grad_norm": 2.0549166202545166, + "learning_rate": 1.5087820496125595e-06, + "loss": 2.3602, + "mean_token_accuracy": 0.49081457406282425, + "step": 4820 + }, + { + "epoch": 0.4212086857940176, + "grad_norm": 2.089341640472412, + "learning_rate": 1.4767810947912275e-06, + "loss": 2.3398, + "mean_token_accuracy": 0.48964040726423264, + "step": 4830 + }, + { + "epoch": 0.422080753466469, + "grad_norm": 1.991812825202942, + "learning_rate": 1.4450960785364244e-06, + "loss": 2.3359, + "mean_token_accuracy": 0.49184197932481766, + "step": 4840 + }, + { + "epoch": 0.42295282113892035, + "grad_norm": 2.083972454071045, + "learning_rate": 1.4137281753479092e-06, + "loss": 2.3641, + "mean_token_accuracy": 0.4926736786961555, + "step": 4850 + }, + { + "epoch": 0.42382488881137176, + "grad_norm": 2.251168966293335, + "learning_rate": 1.3826785479707128e-06, + "loss": 2.3477, + "mean_token_accuracy": 0.4906433433294296, + "step": 4860 + }, + { + "epoch": 0.42469695648382316, + "grad_norm": 2.016625165939331, + "learning_rate": 1.3519483473520124e-06, + "loss": 2.3766, + "mean_token_accuracy": 0.48362280130386354, + "step": 4870 + }, + { + "epoch": 0.4255690241562745, + "grad_norm": 2.0079569816589355, + "learning_rate": 1.3215387125984813e-06, + "loss": 2.3453, + "mean_token_accuracy": 0.49295499324798586, + "step": 4880 + }, + { + "epoch": 0.4264410918287259, + "grad_norm": 1.9797515869140625, + "learning_rate": 1.2914507709340596e-06, + "loss": 2.2984, + "mean_token_accuracy": 0.4988869860768318, + "step": 4890 + }, + { + "epoch": 0.42731315950117726, + "grad_norm": 2.122939348220825, + "learning_rate": 1.2616856376581766e-06, + "loss": 2.3273, + "mean_token_accuracy": 0.49677103757858276, + "step": 4900 + }, + { + "epoch": 0.42731315950117726, + "eval_runtime": 4.1347, + "eval_samples_per_second": 265.313, + "eval_steps_per_second": 66.51, + "step": 4900 + }, + { + "epoch": 0.42818522717362867, + "grad_norm": 1.929711103439331, + "learning_rate": 1.2322444161044e-06, + "loss": 2.3414, + "mean_token_accuracy": 0.4948874697089195, + "step": 4910 + }, + { + "epoch": 0.4290572948460801, + "grad_norm": 2.090467929840088, + "learning_rate": 1.2031281975995467e-06, + "loss": 2.3309, + "mean_token_accuracy": 0.4955479443073273, + "step": 4920 + }, + { + "epoch": 0.4299293625185314, + "grad_norm": 2.1671996116638184, + "learning_rate": 1.1743380614232213e-06, + "loss": 2.3312, + "mean_token_accuracy": 0.4941169276833534, + "step": 4930 + }, + { + "epoch": 0.4308014301909828, + "grad_norm": 2.2289273738861084, + "learning_rate": 1.1458750747678105e-06, + "loss": 2.3137, + "mean_token_accuracy": 0.5042074352502823, + "step": 4940 + }, + { + "epoch": 0.43167349786343423, + "grad_norm": 2.101097345352173, + "learning_rate": 1.1177402926989345e-06, + "loss": 2.3445, + "mean_token_accuracy": 0.49644080847501754, + "step": 4950 + }, + { + "epoch": 0.4325455655358856, + "grad_norm": 1.9031548500061035, + "learning_rate": 1.0899347581163222e-06, + "loss": 2.3484, + "mean_token_accuracy": 0.49497309029102327, + "step": 4960 + }, + { + "epoch": 0.433417633208337, + "grad_norm": 2.1439337730407715, + "learning_rate": 1.0624595017151685e-06, + "loss": 2.3438, + "mean_token_accuracy": 0.4897382572293282, + "step": 4970 + }, + { + "epoch": 0.43428970088078833, + "grad_norm": 2.309295892715454, + "learning_rate": 1.0353155419479122e-06, + "loss": 2.318, + "mean_token_accuracy": 0.4978595867753029, + "step": 4980 + }, + { + "epoch": 0.43516176855323974, + "grad_norm": 2.183516502380371, + "learning_rate": 1.0085038849865025e-06, + "loss": 2.3242, + "mean_token_accuracy": 0.49634295552968977, + "step": 4990 + }, + { + "epoch": 0.43603383622569114, + "grad_norm": 1.9440361261367798, + "learning_rate": 9.820255246850853e-07, + "loss": 2.3367, + "mean_token_accuracy": 0.4941291600465775, + "step": 5000 + }, + { + "epoch": 0.43603383622569114, + "eval_runtime": 4.133, + "eval_samples_per_second": 265.426, + "eval_steps_per_second": 66.538, + "step": 5000 + }, + { + "epoch": 0.4369059038981425, + "grad_norm": 2.001448154449463, + "learning_rate": 9.55881442543174e-07, + "loss": 2.3414, + "mean_token_accuracy": 0.4952054783701897, + "step": 5010 + }, + { + "epoch": 0.4377779715705939, + "grad_norm": 1.9931625127792358, + "learning_rate": 9.30072607669259e-07, + "loss": 2.3555, + "mean_token_accuracy": 0.4907534226775169, + "step": 5020 + }, + { + "epoch": 0.43865003924304524, + "grad_norm": 2.111868381500244, + "learning_rate": 9.045999767448988e-07, + "loss": 2.3062, + "mean_token_accuracy": 0.5013576313853264, + "step": 5030 + }, + { + "epoch": 0.43952210691549665, + "grad_norm": 2.0870048999786377, + "learning_rate": 8.794644939892361e-07, + "loss": 2.3742, + "mean_token_accuracy": 0.48999510556459425, + "step": 5040 + }, + { + "epoch": 0.44039417458794805, + "grad_norm": 2.1297481060028076, + "learning_rate": 8.546670911240196e-07, + "loss": 2.3508, + "mean_token_accuracy": 0.4961717247962952, + "step": 5050 + }, + { + "epoch": 0.4412662422603994, + "grad_norm": 1.9581613540649414, + "learning_rate": 8.302086873390536e-07, + "loss": 2.375, + "mean_token_accuracy": 0.48824608623981475, + "step": 5060 + }, + { + "epoch": 0.4421383099328508, + "grad_norm": 2.214728832244873, + "learning_rate": 8.060901892581241e-07, + "loss": 2.3484, + "mean_token_accuracy": 0.49313845038414, + "step": 5070 + }, + { + "epoch": 0.44301037760530215, + "grad_norm": 2.0651919841766357, + "learning_rate": 7.82312490905407e-07, + "loss": 2.3039, + "mean_token_accuracy": 0.5001223102211952, + "step": 5080 + }, + { + "epoch": 0.44388244527775356, + "grad_norm": 1.9561328887939453, + "learning_rate": 7.588764736723086e-07, + "loss": 2.3258, + "mean_token_accuracy": 0.4943737804889679, + "step": 5090 + }, + { + "epoch": 0.44475451295020496, + "grad_norm": 2.1118240356445312, + "learning_rate": 7.357830062848114e-07, + "loss": 2.2898, + "mean_token_accuracy": 0.5014432445168495, + "step": 5100 + }, + { + "epoch": 0.44475451295020496, + "eval_runtime": 4.1244, + "eval_samples_per_second": 265.977, + "eval_steps_per_second": 66.676, + "step": 5100 + }, + { + "epoch": 0.4456265806226563, + "grad_norm": 2.102750062942505, + "learning_rate": 7.130329447712581e-07, + "loss": 2.2426, + "mean_token_accuracy": 0.5095156550407409, + "step": 5110 + }, + { + "epoch": 0.4464986482951077, + "grad_norm": 1.938952088356018, + "learning_rate": 6.906271324306335e-07, + "loss": 2.3117, + "mean_token_accuracy": 0.4916340529918671, + "step": 5120 + }, + { + "epoch": 0.44737071596755906, + "grad_norm": 2.2127182483673096, + "learning_rate": 6.685663998012926e-07, + "loss": 2.3109, + "mean_token_accuracy": 0.49765166342258454, + "step": 5130 + }, + { + "epoch": 0.44824278364001047, + "grad_norm": 2.128307342529297, + "learning_rate": 6.468515646301865e-07, + "loss": 2.3414, + "mean_token_accuracy": 0.49337084144353865, + "step": 5140 + }, + { + "epoch": 0.44911485131246187, + "grad_norm": 2.370331287384033, + "learning_rate": 6.254834318425363e-07, + "loss": 2.3422, + "mean_token_accuracy": 0.49102250039577483, + "step": 5150 + }, + { + "epoch": 0.4499869189849132, + "grad_norm": 2.0760042667388916, + "learning_rate": 6.044627935120107e-07, + "loss": 2.325, + "mean_token_accuracy": 0.49480185359716417, + "step": 5160 + }, + { + "epoch": 0.4508589866573646, + "grad_norm": 1.944549322128296, + "learning_rate": 5.837904288313545e-07, + "loss": 2.3027, + "mean_token_accuracy": 0.49980430901050565, + "step": 5170 + }, + { + "epoch": 0.451731054329816, + "grad_norm": 2.2823469638824463, + "learning_rate": 5.634671040835104e-07, + "loss": 2.3875, + "mean_token_accuracy": 0.4848214253783226, + "step": 5180 + }, + { + "epoch": 0.4526031220022674, + "grad_norm": 2.3041868209838867, + "learning_rate": 5.43493572613214e-07, + "loss": 2.393, + "mean_token_accuracy": 0.485053813457489, + "step": 5190 + }, + { + "epoch": 0.4534751896747188, + "grad_norm": 2.0338685512542725, + "learning_rate": 5.238705747990669e-07, + "loss": 2.2703, + "mean_token_accuracy": 0.5066658541560173, + "step": 5200 + }, + { + "epoch": 0.4534751896747188, + "eval_runtime": 4.1386, + "eval_samples_per_second": 265.067, + "eval_steps_per_second": 66.448, + "step": 5200 + }, + { + "epoch": 0.45434725734717013, + "grad_norm": 2.0606861114501953, + "learning_rate": 5.045988380260935e-07, + "loss": 2.2828, + "mean_token_accuracy": 0.5026541098952293, + "step": 5210 + }, + { + "epoch": 0.45521932501962153, + "grad_norm": 2.008419990539551, + "learning_rate": 4.856790766587815e-07, + "loss": 2.3809, + "mean_token_accuracy": 0.49344422519207, + "step": 5220 + }, + { + "epoch": 0.4560913926920729, + "grad_norm": 1.9905202388763428, + "learning_rate": 4.6711199201459833e-07, + "loss": 2.3234, + "mean_token_accuracy": 0.49330968260765073, + "step": 5230 + }, + { + "epoch": 0.4569634603645243, + "grad_norm": 2.1715281009674072, + "learning_rate": 4.488982723379887e-07, + "loss": 2.2773, + "mean_token_accuracy": 0.5032044991850853, + "step": 5240 + }, + { + "epoch": 0.4578355280369757, + "grad_norm": 2.012258768081665, + "learning_rate": 4.3103859277488056e-07, + "loss": 2.2863, + "mean_token_accuracy": 0.5022015631198883, + "step": 5250 + }, + { + "epoch": 0.45870759570942704, + "grad_norm": 2.2576820850372314, + "learning_rate": 4.1353361534763657e-07, + "loss": 2.318, + "mean_token_accuracy": 0.49766389429569247, + "step": 5260 + }, + { + "epoch": 0.45957966338187844, + "grad_norm": 2.265260696411133, + "learning_rate": 3.963839889305343e-07, + "loss": 2.318, + "mean_token_accuracy": 0.496061646938324, + "step": 5270 + }, + { + "epoch": 0.4604517310543298, + "grad_norm": 2.1696579456329346, + "learning_rate": 3.7959034922569804e-07, + "loss": 2.3477, + "mean_token_accuracy": 0.4889799416065216, + "step": 5280 + }, + { + "epoch": 0.4613237987267812, + "grad_norm": 1.979793667793274, + "learning_rate": 3.631533187395453e-07, + "loss": 2.3445, + "mean_token_accuracy": 0.49362768679857255, + "step": 5290 + }, + { + "epoch": 0.4621958663992326, + "grad_norm": 2.143578052520752, + "learning_rate": 3.470735067597053e-07, + "loss": 2.3047, + "mean_token_accuracy": 0.4961839556694031, + "step": 5300 + }, + { + "epoch": 0.4621958663992326, + "eval_runtime": 4.1264, + "eval_samples_per_second": 265.847, + "eval_steps_per_second": 66.644, + "step": 5300 + }, + { + "epoch": 0.46306793407168395, + "grad_norm": 2.0299618244171143, + "learning_rate": 3.313515093324393e-07, + "loss": 2.2766, + "mean_token_accuracy": 0.5060543060302735, + "step": 5310 + }, + { + "epoch": 0.46394000174413536, + "grad_norm": 2.108973503112793, + "learning_rate": 3.1598790924053936e-07, + "loss": 2.3188, + "mean_token_accuracy": 0.5022504895925521, + "step": 5320 + }, + { + "epoch": 0.4648120694165867, + "grad_norm": 2.318573236465454, + "learning_rate": 3.009832759817344e-07, + "loss": 2.3641, + "mean_token_accuracy": 0.4872186854481697, + "step": 5330 + }, + { + "epoch": 0.4656841370890381, + "grad_norm": 1.9880313873291016, + "learning_rate": 2.8633816574757166e-07, + "loss": 2.2914, + "mean_token_accuracy": 0.5004770040512085, + "step": 5340 + }, + { + "epoch": 0.4665562047614895, + "grad_norm": 2.124990463256836, + "learning_rate": 2.720531214028055e-07, + "loss": 2.2773, + "mean_token_accuracy": 0.5056996047496796, + "step": 5350 + }, + { + "epoch": 0.46742827243394086, + "grad_norm": 2.1923046112060547, + "learning_rate": 2.5812867246527207e-07, + "loss": 2.2863, + "mean_token_accuracy": 0.5009295508265496, + "step": 5360 + }, + { + "epoch": 0.46830034010639227, + "grad_norm": 2.0684754848480225, + "learning_rate": 2.445653350862609e-07, + "loss": 2.3312, + "mean_token_accuracy": 0.49175636321306226, + "step": 5370 + }, + { + "epoch": 0.4691724077788436, + "grad_norm": 2.038372039794922, + "learning_rate": 2.3136361203138668e-07, + "loss": 2.343, + "mean_token_accuracy": 0.4960249558091164, + "step": 5380 + }, + { + "epoch": 0.470044475451295, + "grad_norm": 2.1624391078948975, + "learning_rate": 2.1852399266194312e-07, + "loss": 2.3234, + "mean_token_accuracy": 0.49827543944120406, + "step": 5390 + }, + { + "epoch": 0.4709165431237464, + "grad_norm": 1.905287504196167, + "learning_rate": 2.0604695291677523e-07, + "loss": 2.2687, + "mean_token_accuracy": 0.5026908054947853, + "step": 5400 + }, + { + "epoch": 0.4709165431237464, + "eval_runtime": 4.1281, + "eval_samples_per_second": 265.741, + "eval_steps_per_second": 66.617, + "step": 5400 + }, + { + "epoch": 0.47178861079619777, + "grad_norm": 2.169462203979492, + "learning_rate": 1.9393295529462674e-07, + "loss": 2.3, + "mean_token_accuracy": 0.4972235843539238, + "step": 5410 + }, + { + "epoch": 0.4726606784686492, + "grad_norm": 1.9786736965179443, + "learning_rate": 1.8218244883700386e-07, + "loss": 2.3375, + "mean_token_accuracy": 0.49372553527355195, + "step": 5420 + }, + { + "epoch": 0.4735327461411005, + "grad_norm": 1.8743739128112793, + "learning_rate": 1.7079586911152413e-07, + "loss": 2.2898, + "mean_token_accuracy": 0.5012842446565628, + "step": 5430 + }, + { + "epoch": 0.47440481381355193, + "grad_norm": 2.0569217205047607, + "learning_rate": 1.597736381957782e-07, + "loss": 2.2965, + "mean_token_accuracy": 0.5054549872875214, + "step": 5440 + }, + { + "epoch": 0.47527688148600333, + "grad_norm": 2.0441787242889404, + "learning_rate": 1.4911616466167345e-07, + "loss": 2.3328, + "mean_token_accuracy": 0.49340753704309465, + "step": 5450 + }, + { + "epoch": 0.4761489491584547, + "grad_norm": 2.0800154209136963, + "learning_rate": 1.3882384356030066e-07, + "loss": 2.3969, + "mean_token_accuracy": 0.4841976538300514, + "step": 5460 + }, + { + "epoch": 0.4770210168309061, + "grad_norm": 2.1264023780822754, + "learning_rate": 1.2889705640728445e-07, + "loss": 2.2801, + "mean_token_accuracy": 0.5074608579277993, + "step": 5470 + }, + { + "epoch": 0.47789308450335743, + "grad_norm": 2.0067479610443115, + "learning_rate": 1.1933617116863805e-07, + "loss": 2.3547, + "mean_token_accuracy": 0.4909368887543678, + "step": 5480 + }, + { + "epoch": 0.47876515217580884, + "grad_norm": 2.06038761138916, + "learning_rate": 1.1014154224713302e-07, + "loss": 2.3281, + "mean_token_accuracy": 0.5009662479162216, + "step": 5490 + }, + { + "epoch": 0.47963721984826024, + "grad_norm": 2.0036745071411133, + "learning_rate": 1.0131351046915094e-07, + "loss": 2.2766, + "mean_token_accuracy": 0.5009295508265496, + "step": 5500 + }, + { + "epoch": 0.47963721984826024, + "eval_runtime": 4.1322, + "eval_samples_per_second": 265.476, + "eval_steps_per_second": 66.551, + "step": 5500 + }, + { + "epoch": 0.4805092875207116, + "grad_norm": 2.004516363143921, + "learning_rate": 9.285240307206123e-08, + "loss": 2.3359, + "mean_token_accuracy": 0.493370845913887, + "step": 5510 + }, + { + "epoch": 0.481381355193163, + "grad_norm": 2.1120264530181885, + "learning_rate": 8.475853369207753e-08, + "loss": 2.3453, + "mean_token_accuracy": 0.49291829764842987, + "step": 5520 + }, + { + "epoch": 0.48225342286561435, + "grad_norm": 2.058835029602051, + "learning_rate": 7.703220235264708e-08, + "loss": 2.3211, + "mean_token_accuracy": 0.4960983365774155, + "step": 5530 + }, + { + "epoch": 0.48312549053806575, + "grad_norm": 1.964354395866394, + "learning_rate": 6.967369545331615e-08, + "loss": 2.3484, + "mean_token_accuracy": 0.49185420721769335, + "step": 5540 + }, + { + "epoch": 0.48399755821051715, + "grad_norm": 2.046884298324585, + "learning_rate": 6.26832857591242e-08, + "loss": 2.316, + "mean_token_accuracy": 0.4936399176716805, + "step": 5550 + }, + { + "epoch": 0.4848696258829685, + "grad_norm": 1.9410163164138794, + "learning_rate": 5.606123239048522e-08, + "loss": 2.3324, + "mean_token_accuracy": 0.49575415551662444, + "step": 5560 + }, + { + "epoch": 0.4857416935554199, + "grad_norm": 1.9944008588790894, + "learning_rate": 4.9807780813586615e-08, + "loss": 2.2844, + "mean_token_accuracy": 0.502140411734581, + "step": 5570 + }, + { + "epoch": 0.48661376122787126, + "grad_norm": 2.1313865184783936, + "learning_rate": 4.392316283128861e-08, + "loss": 2.2477, + "mean_token_accuracy": 0.5090386480093002, + "step": 5580 + }, + { + "epoch": 0.48748582890032266, + "grad_norm": 2.155336380004883, + "learning_rate": 3.840759657453452e-08, + "loss": 2.3332, + "mean_token_accuracy": 0.4918664380908012, + "step": 5590 + }, + { + "epoch": 0.48835789657277406, + "grad_norm": 2.1307590007781982, + "learning_rate": 3.326128649426053e-08, + "loss": 2.3508, + "mean_token_accuracy": 0.49245352298021317, + "step": 5600 + }, + { + "epoch": 0.48835789657277406, + "eval_runtime": 4.1308, + "eval_samples_per_second": 265.564, + "eval_steps_per_second": 66.573, + "step": 5600 + }, + { + "epoch": 0.4892299642452254, + "grad_norm": 2.0670790672302246, + "learning_rate": 2.8484423353822842e-08, + "loss": 2.2906, + "mean_token_accuracy": 0.5042441293597222, + "step": 5610 + }, + { + "epoch": 0.4901020319176768, + "grad_norm": 2.0412628650665283, + "learning_rate": 2.4077184221920068e-08, + "loss": 2.2426, + "mean_token_accuracy": 0.5120229914784431, + "step": 5620 + }, + { + "epoch": 0.4909740995901282, + "grad_norm": 2.019014596939087, + "learning_rate": 2.003973246603508e-08, + "loss": 2.2711, + "mean_token_accuracy": 0.5057607650756836, + "step": 5630 + }, + { + "epoch": 0.49184616726257957, + "grad_norm": 2.1194162368774414, + "learning_rate": 1.637221774637765e-08, + "loss": 2.3352, + "mean_token_accuracy": 0.4929427593946457, + "step": 5640 + }, + { + "epoch": 0.492718234935031, + "grad_norm": 2.091783285140991, + "learning_rate": 1.3074776010334466e-08, + "loss": 2.2695, + "mean_token_accuracy": 0.506029836833477, + "step": 5650 + }, + { + "epoch": 0.4935903026074823, + "grad_norm": 1.9325324296951294, + "learning_rate": 1.0147529487432028e-08, + "loss": 2.268, + "mean_token_accuracy": 0.5071061670780181, + "step": 5660 + }, + { + "epoch": 0.4944623702799337, + "grad_norm": 2.071957588195801, + "learning_rate": 7.590586684805834e-09, + "loss": 2.3746, + "mean_token_accuracy": 0.4878546938300133, + "step": 5670 + }, + { + "epoch": 0.49533443795238513, + "grad_norm": 2.0705039501190186, + "learning_rate": 5.4040423831802635e-09, + "loss": 2.307, + "mean_token_accuracy": 0.5019569426774979, + "step": 5680 + }, + { + "epoch": 0.4962065056248365, + "grad_norm": 2.1722216606140137, + "learning_rate": 3.587977633348061e-09, + "loss": 2.2875, + "mean_token_accuracy": 0.5036937370896339, + "step": 5690 + }, + { + "epoch": 0.4970785732972879, + "grad_norm": 2.023979902267456, + "learning_rate": 2.1424597531749524e-09, + "loss": 2.3387, + "mean_token_accuracy": 0.4925146758556366, + "step": 5700 + }, + { + "epoch": 0.4970785732972879, + "eval_runtime": 4.1318, + "eval_samples_per_second": 265.501, + "eval_steps_per_second": 66.557, + "step": 5700 + }, + { + "epoch": 0.49795064096973923, + "grad_norm": 2.0578551292419434, + "learning_rate": 1.0675423250994244e-09, + "loss": 2.3109, + "mean_token_accuracy": 0.5001345381140709, + "step": 5710 + }, + { + "epoch": 0.49882270864219064, + "grad_norm": 2.178114175796509, + "learning_rate": 3.6326519414431327e-10, + "loss": 2.3234, + "mean_token_accuracy": 0.49635518789291383, + "step": 5720 + }, + { + "epoch": 0.49969477631464204, + "grad_norm": 2.022113561630249, + "learning_rate": 2.965446644798142e-11, + "loss": 2.3328, + "mean_token_accuracy": 0.4927593007683754, + "step": 5730 + }, + { + "epoch": 0.5000436033836225, + "mean_token_accuracy": 0.49694227427244186, + "step": 5734, + "total_flos": 0.0, + "train_loss": 3.0764607222270666, + "train_runtime": 988.267, + "train_samples_per_second": 92.823, + "train_steps_per_second": 5.802 + } + ], + "logging_steps": 10, + "max_steps": 5734, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": false, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 0.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +}