diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,4588 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9997305930800908, + "eval_steps": 500, + "global_step": 3247, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0003078936227533387, + "grad_norm": 1.7886259464726153, + "learning_rate": 6.153846153846154e-07, + "loss": 2.4065, + "step": 1 + }, + { + "epoch": 0.0015394681137666935, + "grad_norm": 0.7856091829075883, + "learning_rate": 3.0769230769230774e-06, + "loss": 2.2623, + "step": 5 + }, + { + "epoch": 0.003078936227533387, + "grad_norm": 1.7492528772148481, + "learning_rate": 6.153846153846155e-06, + "loss": 2.3366, + "step": 10 + }, + { + "epoch": 0.004618404341300081, + "grad_norm": 1.8810015033279819, + "learning_rate": 9.230769230769232e-06, + "loss": 2.2464, + "step": 15 + }, + { + "epoch": 0.006157872455066774, + "grad_norm": 1.5384917280101869, + "learning_rate": 1.230769230769231e-05, + "loss": 2.4102, + "step": 20 + }, + { + "epoch": 0.007697340568833468, + "grad_norm": 1.531064264819813, + "learning_rate": 1.5384615384615387e-05, + "loss": 2.2919, + "step": 25 + }, + { + "epoch": 0.009236808682600161, + "grad_norm": 1.5245321390728928, + "learning_rate": 1.8461538461538465e-05, + "loss": 2.0073, + "step": 30 + }, + { + "epoch": 0.010776276796366856, + "grad_norm": 2.3551208511966792, + "learning_rate": 2.1538461538461542e-05, + "loss": 2.0615, + "step": 35 + }, + { + "epoch": 0.012315744910133548, + "grad_norm": 0.870620603646086, + "learning_rate": 2.461538461538462e-05, + "loss": 1.933, + "step": 40 + }, + { + "epoch": 0.013855213023900243, + "grad_norm": 2.0784218387109545, + "learning_rate": 2.7692307692307694e-05, + "loss": 1.7955, + "step": 45 + }, + { + "epoch": 0.015394681137666935, + "grad_norm": 1.7032213696426233, + "learning_rate": 3.0769230769230774e-05, + "loss": 1.623, + "step": 50 + }, + { + "epoch": 0.01693414925143363, + "grad_norm": 1.199804375605637, + "learning_rate": 3.384615384615385e-05, + "loss": 1.5078, + "step": 55 + }, + { + "epoch": 0.018473617365200323, + "grad_norm": 0.6513653498128114, + "learning_rate": 3.692307692307693e-05, + "loss": 1.3395, + "step": 60 + }, + { + "epoch": 0.020013085478967015, + "grad_norm": 0.35836956933859887, + "learning_rate": 4e-05, + "loss": 1.2971, + "step": 65 + }, + { + "epoch": 0.02155255359273371, + "grad_norm": 0.27349495518377487, + "learning_rate": 4.3076923076923084e-05, + "loss": 1.197, + "step": 70 + }, + { + "epoch": 0.023092021706500404, + "grad_norm": 0.3594788242269333, + "learning_rate": 4.615384615384616e-05, + "loss": 1.1353, + "step": 75 + }, + { + "epoch": 0.024631489820267097, + "grad_norm": 0.20878396712118252, + "learning_rate": 4.923076923076924e-05, + "loss": 1.1295, + "step": 80 + }, + { + "epoch": 0.026170957934033793, + "grad_norm": 0.15589572115960823, + "learning_rate": 5.230769230769231e-05, + "loss": 1.0822, + "step": 85 + }, + { + "epoch": 0.027710426047800486, + "grad_norm": 0.10395722149316333, + "learning_rate": 5.538461538461539e-05, + "loss": 1.0227, + "step": 90 + }, + { + "epoch": 0.02924989416156718, + "grad_norm": 0.11175530250493737, + "learning_rate": 5.846153846153847e-05, + "loss": 1.039, + "step": 95 + }, + { + "epoch": 0.03078936227533387, + "grad_norm": 0.100290581587309, + "learning_rate": 6.153846153846155e-05, + "loss": 1.0021, + "step": 100 + }, + { + "epoch": 0.03232883038910057, + "grad_norm": 0.1096086423198071, + "learning_rate": 6.461538461538462e-05, + "loss": 1.0098, + "step": 105 + }, + { + "epoch": 0.03386829850286726, + "grad_norm": 0.11413161368432702, + "learning_rate": 6.76923076923077e-05, + "loss": 1.002, + "step": 110 + }, + { + "epoch": 0.03540776661663395, + "grad_norm": 0.0883433361451938, + "learning_rate": 7.076923076923078e-05, + "loss": 1.0046, + "step": 115 + }, + { + "epoch": 0.036947234730400645, + "grad_norm": 0.07140741468698422, + "learning_rate": 7.384615384615386e-05, + "loss": 0.9814, + "step": 120 + }, + { + "epoch": 0.03848670284416734, + "grad_norm": 0.07872746773100796, + "learning_rate": 7.692307692307693e-05, + "loss": 0.9886, + "step": 125 + }, + { + "epoch": 0.04002617095793403, + "grad_norm": 0.054900803691268776, + "learning_rate": 8e-05, + "loss": 1.0179, + "step": 130 + }, + { + "epoch": 0.04156563907170073, + "grad_norm": 0.08778632715972133, + "learning_rate": 8.307692307692309e-05, + "loss": 0.9783, + "step": 135 + }, + { + "epoch": 0.04310510718546742, + "grad_norm": 0.09659582528614778, + "learning_rate": 8.615384615384617e-05, + "loss": 0.9835, + "step": 140 + }, + { + "epoch": 0.044644575299234115, + "grad_norm": 0.0703291247525324, + "learning_rate": 8.923076923076924e-05, + "loss": 0.963, + "step": 145 + }, + { + "epoch": 0.04618404341300081, + "grad_norm": 0.06160228816589926, + "learning_rate": 9.230769230769232e-05, + "loss": 0.9635, + "step": 150 + }, + { + "epoch": 0.0477235115267675, + "grad_norm": 0.067929217872403, + "learning_rate": 9.53846153846154e-05, + "loss": 0.9564, + "step": 155 + }, + { + "epoch": 0.049262979640534194, + "grad_norm": 0.07059304417071058, + "learning_rate": 9.846153846153848e-05, + "loss": 0.9705, + "step": 160 + }, + { + "epoch": 0.050802447754300886, + "grad_norm": 0.058717760542211006, + "learning_rate": 0.00010153846153846153, + "loss": 0.9493, + "step": 165 + }, + { + "epoch": 0.052341915868067586, + "grad_norm": 0.07991988340066557, + "learning_rate": 0.00010461538461538463, + "loss": 0.9701, + "step": 170 + }, + { + "epoch": 0.05388138398183428, + "grad_norm": 0.06759612940962959, + "learning_rate": 0.0001076923076923077, + "loss": 0.9825, + "step": 175 + }, + { + "epoch": 0.05542085209560097, + "grad_norm": 0.07707113030085129, + "learning_rate": 0.00011076923076923077, + "loss": 0.927, + "step": 180 + }, + { + "epoch": 0.056960320209367664, + "grad_norm": 0.07777181849810574, + "learning_rate": 0.00011384615384615384, + "loss": 0.9597, + "step": 185 + }, + { + "epoch": 0.05849978832313436, + "grad_norm": 0.06976692683939785, + "learning_rate": 0.00011692307692307694, + "loss": 0.9776, + "step": 190 + }, + { + "epoch": 0.06003925643690105, + "grad_norm": 0.06744155796823793, + "learning_rate": 0.00012, + "loss": 0.9436, + "step": 195 + }, + { + "epoch": 0.06157872455066774, + "grad_norm": 0.0906791338365497, + "learning_rate": 0.0001230769230769231, + "loss": 0.9508, + "step": 200 + }, + { + "epoch": 0.06311819266443444, + "grad_norm": 0.06833140260133326, + "learning_rate": 0.00012615384615384615, + "loss": 0.9305, + "step": 205 + }, + { + "epoch": 0.06465766077820113, + "grad_norm": 0.07448730899375566, + "learning_rate": 0.00012923076923076923, + "loss": 0.959, + "step": 210 + }, + { + "epoch": 0.06619712889196783, + "grad_norm": 0.06295871227457246, + "learning_rate": 0.0001323076923076923, + "loss": 0.9471, + "step": 215 + }, + { + "epoch": 0.06773659700573452, + "grad_norm": 0.06671768002683286, + "learning_rate": 0.0001353846153846154, + "loss": 0.9475, + "step": 220 + }, + { + "epoch": 0.06927606511950121, + "grad_norm": 0.06807246484129376, + "learning_rate": 0.00013846153846153847, + "loss": 0.9176, + "step": 225 + }, + { + "epoch": 0.0708155332332679, + "grad_norm": 0.06294758872039433, + "learning_rate": 0.00014153846153846156, + "loss": 0.9353, + "step": 230 + }, + { + "epoch": 0.0723550013470346, + "grad_norm": 0.061076404800252414, + "learning_rate": 0.0001446153846153846, + "loss": 0.9029, + "step": 235 + }, + { + "epoch": 0.07389446946080129, + "grad_norm": 0.07165204896011747, + "learning_rate": 0.00014769230769230772, + "loss": 0.9522, + "step": 240 + }, + { + "epoch": 0.07543393757456798, + "grad_norm": 0.06142770831333145, + "learning_rate": 0.00015076923076923077, + "loss": 0.9604, + "step": 245 + }, + { + "epoch": 0.07697340568833468, + "grad_norm": 0.055747916316771985, + "learning_rate": 0.00015384615384615385, + "loss": 0.9469, + "step": 250 + }, + { + "epoch": 0.07851287380210137, + "grad_norm": 0.06495847309063495, + "learning_rate": 0.00015692307692307693, + "loss": 0.8872, + "step": 255 + }, + { + "epoch": 0.08005234191586806, + "grad_norm": 0.06953979479889788, + "learning_rate": 0.00016, + "loss": 0.9591, + "step": 260 + }, + { + "epoch": 0.08159181002963477, + "grad_norm": 0.05997292205848339, + "learning_rate": 0.0001630769230769231, + "loss": 0.9317, + "step": 265 + }, + { + "epoch": 0.08313127814340146, + "grad_norm": 0.06683367864789459, + "learning_rate": 0.00016615384615384617, + "loss": 0.9717, + "step": 270 + }, + { + "epoch": 0.08467074625716815, + "grad_norm": 0.07414531970479905, + "learning_rate": 0.00016923076923076923, + "loss": 0.9253, + "step": 275 + }, + { + "epoch": 0.08621021437093485, + "grad_norm": 0.058289217740252974, + "learning_rate": 0.00017230769230769234, + "loss": 0.9423, + "step": 280 + }, + { + "epoch": 0.08774968248470154, + "grad_norm": 0.06156915214820435, + "learning_rate": 0.0001753846153846154, + "loss": 0.9479, + "step": 285 + }, + { + "epoch": 0.08928915059846823, + "grad_norm": 0.06839948189559994, + "learning_rate": 0.00017846153846153847, + "loss": 0.9547, + "step": 290 + }, + { + "epoch": 0.09082861871223492, + "grad_norm": 0.07044677125831877, + "learning_rate": 0.00018153846153846155, + "loss": 0.9407, + "step": 295 + }, + { + "epoch": 0.09236808682600162, + "grad_norm": 0.06454272103387144, + "learning_rate": 0.00018461538461538463, + "loss": 0.9404, + "step": 300 + }, + { + "epoch": 0.09390755493976831, + "grad_norm": 0.06540138303042092, + "learning_rate": 0.0001876923076923077, + "loss": 0.9283, + "step": 305 + }, + { + "epoch": 0.095447023053535, + "grad_norm": 0.06606202830142367, + "learning_rate": 0.0001907692307692308, + "loss": 0.947, + "step": 310 + }, + { + "epoch": 0.0969864911673017, + "grad_norm": 0.06565881788931771, + "learning_rate": 0.00019384615384615385, + "loss": 0.9608, + "step": 315 + }, + { + "epoch": 0.09852595928106839, + "grad_norm": 0.05723384408289347, + "learning_rate": 0.00019692307692307696, + "loss": 0.922, + "step": 320 + }, + { + "epoch": 0.10006542739483508, + "grad_norm": 0.08595339007629281, + "learning_rate": 0.0002, + "loss": 0.9297, + "step": 325 + }, + { + "epoch": 0.10160489550860177, + "grad_norm": 0.06146101896381126, + "learning_rate": 0.00019999855506507185, + "loss": 0.9568, + "step": 330 + }, + { + "epoch": 0.10314436362236847, + "grad_norm": 0.06043681352930332, + "learning_rate": 0.00019999422030204418, + "loss": 0.9392, + "step": 335 + }, + { + "epoch": 0.10468383173613517, + "grad_norm": 0.058784129825152236, + "learning_rate": 0.00019998699583618593, + "loss": 0.9335, + "step": 340 + }, + { + "epoch": 0.10622329984990186, + "grad_norm": 0.07339711767455756, + "learning_rate": 0.00019997688187627482, + "loss": 0.9388, + "step": 345 + }, + { + "epoch": 0.10776276796366856, + "grad_norm": 0.06863424893787205, + "learning_rate": 0.0001999638787145911, + "loss": 0.9552, + "step": 350 + }, + { + "epoch": 0.10930223607743525, + "grad_norm": 0.06416167746235103, + "learning_rate": 0.0001999479867269092, + "loss": 0.9398, + "step": 355 + }, + { + "epoch": 0.11084170419120194, + "grad_norm": 0.07293566060961007, + "learning_rate": 0.00019992920637248697, + "loss": 0.9283, + "step": 360 + }, + { + "epoch": 0.11238117230496864, + "grad_norm": 0.05795397130511251, + "learning_rate": 0.00019990753819405213, + "loss": 0.9156, + "step": 365 + }, + { + "epoch": 0.11392064041873533, + "grad_norm": 0.05925802755851074, + "learning_rate": 0.00019988298281778684, + "loss": 0.9436, + "step": 370 + }, + { + "epoch": 0.11546010853250202, + "grad_norm": 0.07382813289359652, + "learning_rate": 0.00019985554095330955, + "loss": 0.9079, + "step": 375 + }, + { + "epoch": 0.11699957664626871, + "grad_norm": 0.07244233003395625, + "learning_rate": 0.0001998252133936544, + "loss": 0.9372, + "step": 380 + }, + { + "epoch": 0.1185390447600354, + "grad_norm": 0.059856414735217266, + "learning_rate": 0.00019979200101524845, + "loss": 0.9462, + "step": 385 + }, + { + "epoch": 0.1200785128738021, + "grad_norm": 0.06311186958064242, + "learning_rate": 0.00019975590477788613, + "loss": 0.9337, + "step": 390 + }, + { + "epoch": 0.12161798098756879, + "grad_norm": 0.054257277491550376, + "learning_rate": 0.0001997169257247018, + "loss": 0.8951, + "step": 395 + }, + { + "epoch": 0.12315744910133548, + "grad_norm": 0.05597241826184769, + "learning_rate": 0.00019967506498213931, + "loss": 0.9489, + "step": 400 + }, + { + "epoch": 0.12469691721510218, + "grad_norm": 0.0575366172657177, + "learning_rate": 0.00019963032375991966, + "loss": 0.9612, + "step": 405 + }, + { + "epoch": 0.12623638532886888, + "grad_norm": 0.05498473779799205, + "learning_rate": 0.00019958270335100595, + "loss": 0.9167, + "step": 410 + }, + { + "epoch": 0.12777585344263556, + "grad_norm": 0.05451363935096892, + "learning_rate": 0.00019953220513156602, + "loss": 0.9657, + "step": 415 + }, + { + "epoch": 0.12931532155640227, + "grad_norm": 0.05273299621055326, + "learning_rate": 0.0001994788305609327, + "loss": 0.9268, + "step": 420 + }, + { + "epoch": 0.13085478967016895, + "grad_norm": 0.05850087024230285, + "learning_rate": 0.00019942258118156163, + "loss": 0.9237, + "step": 425 + }, + { + "epoch": 0.13239425778393565, + "grad_norm": 0.05234156950662489, + "learning_rate": 0.00019936345861898663, + "loss": 0.9429, + "step": 430 + }, + { + "epoch": 0.13393372589770233, + "grad_norm": 0.1134035523279181, + "learning_rate": 0.0001993014645817728, + "loss": 0.9358, + "step": 435 + }, + { + "epoch": 0.13547319401146904, + "grad_norm": 0.048751485298395646, + "learning_rate": 0.00019923660086146723, + "loss": 0.9318, + "step": 440 + }, + { + "epoch": 0.13701266212523572, + "grad_norm": 0.055361809469683866, + "learning_rate": 0.0001991688693325469, + "loss": 0.9289, + "step": 445 + }, + { + "epoch": 0.13855213023900242, + "grad_norm": 0.058284785462008666, + "learning_rate": 0.00019909827195236493, + "loss": 0.9291, + "step": 450 + }, + { + "epoch": 0.14009159835276913, + "grad_norm": 0.05368624032603138, + "learning_rate": 0.00019902481076109372, + "loss": 0.9497, + "step": 455 + }, + { + "epoch": 0.1416310664665358, + "grad_norm": 0.05055173721774897, + "learning_rate": 0.00019894848788166604, + "loss": 0.9404, + "step": 460 + }, + { + "epoch": 0.14317053458030252, + "grad_norm": 0.05824332224771405, + "learning_rate": 0.00019886930551971387, + "loss": 0.955, + "step": 465 + }, + { + "epoch": 0.1447100026940692, + "grad_norm": 0.07214196511041003, + "learning_rate": 0.0001987872659635043, + "loss": 0.9202, + "step": 470 + }, + { + "epoch": 0.1462494708078359, + "grad_norm": 0.058974012454576195, + "learning_rate": 0.00019870237158387384, + "loss": 0.9317, + "step": 475 + }, + { + "epoch": 0.14778893892160258, + "grad_norm": 0.0496321161862721, + "learning_rate": 0.00019861462483415952, + "loss": 0.9236, + "step": 480 + }, + { + "epoch": 0.1493284070353693, + "grad_norm": 0.05467253796263981, + "learning_rate": 0.0001985240282501282, + "loss": 0.9253, + "step": 485 + }, + { + "epoch": 0.15086787514913597, + "grad_norm": 0.04861402346330219, + "learning_rate": 0.0001984305844499033, + "loss": 0.9106, + "step": 490 + }, + { + "epoch": 0.15240734326290267, + "grad_norm": 0.05397477192351095, + "learning_rate": 0.00019833429613388902, + "loss": 0.9287, + "step": 495 + }, + { + "epoch": 0.15394681137666935, + "grad_norm": 0.05808861261090533, + "learning_rate": 0.0001982351660846924, + "loss": 0.9266, + "step": 500 + }, + { + "epoch": 0.15548627949043606, + "grad_norm": 0.049151963300644703, + "learning_rate": 0.00019813319716704278, + "loss": 0.9255, + "step": 505 + }, + { + "epoch": 0.15702574760420274, + "grad_norm": 0.060327540548373824, + "learning_rate": 0.00019802839232770921, + "loss": 0.9636, + "step": 510 + }, + { + "epoch": 0.15856521571796944, + "grad_norm": 0.050076605968131446, + "learning_rate": 0.00019792075459541518, + "loss": 0.9083, + "step": 515 + }, + { + "epoch": 0.16010468383173612, + "grad_norm": 0.05710597237534321, + "learning_rate": 0.00019781028708075102, + "loss": 0.9154, + "step": 520 + }, + { + "epoch": 0.16164415194550283, + "grad_norm": 0.05119017067438771, + "learning_rate": 0.00019769699297608417, + "loss": 0.9144, + "step": 525 + }, + { + "epoch": 0.16318362005926954, + "grad_norm": 0.06546986936590168, + "learning_rate": 0.00019758087555546682, + "loss": 0.951, + "step": 530 + }, + { + "epoch": 0.16472308817303621, + "grad_norm": 0.05293989495985302, + "learning_rate": 0.0001974619381745413, + "loss": 0.9443, + "step": 535 + }, + { + "epoch": 0.16626255628680292, + "grad_norm": 0.05268282028511608, + "learning_rate": 0.00019734018427044307, + "loss": 0.9213, + "step": 540 + }, + { + "epoch": 0.1678020244005696, + "grad_norm": 0.05073432746268571, + "learning_rate": 0.0001972156173617016, + "loss": 0.9235, + "step": 545 + }, + { + "epoch": 0.1693414925143363, + "grad_norm": 0.052364528405400936, + "learning_rate": 0.00019708824104813837, + "loss": 0.9234, + "step": 550 + }, + { + "epoch": 0.17088096062810298, + "grad_norm": 0.05163092419435362, + "learning_rate": 0.00019695805901076308, + "loss": 0.943, + "step": 555 + }, + { + "epoch": 0.1724204287418697, + "grad_norm": 0.05013282990770516, + "learning_rate": 0.00019682507501166718, + "loss": 0.9674, + "step": 560 + }, + { + "epoch": 0.17395989685563637, + "grad_norm": 0.05496807027320449, + "learning_rate": 0.00019668929289391523, + "loss": 0.9121, + "step": 565 + }, + { + "epoch": 0.17549936496940308, + "grad_norm": 0.05295664915113558, + "learning_rate": 0.00019655071658143366, + "loss": 0.9309, + "step": 570 + }, + { + "epoch": 0.17703883308316976, + "grad_norm": 0.05770430579600094, + "learning_rate": 0.00019640935007889755, + "loss": 0.9525, + "step": 575 + }, + { + "epoch": 0.17857830119693646, + "grad_norm": 0.04967368156780794, + "learning_rate": 0.0001962651974716149, + "loss": 0.9421, + "step": 580 + }, + { + "epoch": 0.18011776931070314, + "grad_norm": 0.05542180958681771, + "learning_rate": 0.0001961182629254084, + "loss": 0.9032, + "step": 585 + }, + { + "epoch": 0.18165723742446985, + "grad_norm": 0.05157460362945081, + "learning_rate": 0.00019596855068649522, + "loss": 0.9281, + "step": 590 + }, + { + "epoch": 0.18319670553823653, + "grad_norm": 0.05474461334176702, + "learning_rate": 0.00019581606508136426, + "loss": 0.9405, + "step": 595 + }, + { + "epoch": 0.18473617365200323, + "grad_norm": 0.04999123312677221, + "learning_rate": 0.00019566081051665098, + "loss": 0.894, + "step": 600 + }, + { + "epoch": 0.18627564176576994, + "grad_norm": 0.04663933495586406, + "learning_rate": 0.00019550279147901036, + "loss": 0.9582, + "step": 605 + }, + { + "epoch": 0.18781510987953662, + "grad_norm": 0.05748400574383358, + "learning_rate": 0.00019534201253498682, + "loss": 0.9202, + "step": 610 + }, + { + "epoch": 0.18935457799330332, + "grad_norm": 0.061058791061366406, + "learning_rate": 0.0001951784783308827, + "loss": 0.8908, + "step": 615 + }, + { + "epoch": 0.19089404610707, + "grad_norm": 0.05602302672114044, + "learning_rate": 0.0001950121935926236, + "loss": 0.9195, + "step": 620 + }, + { + "epoch": 0.1924335142208367, + "grad_norm": 0.05101288671521673, + "learning_rate": 0.00019484316312562205, + "loss": 0.9041, + "step": 625 + }, + { + "epoch": 0.1939729823346034, + "grad_norm": 0.04764728716875625, + "learning_rate": 0.00019467139181463862, + "loss": 0.9414, + "step": 630 + }, + { + "epoch": 0.1955124504483701, + "grad_norm": 0.05001047990653959, + "learning_rate": 0.00019449688462364056, + "loss": 0.9191, + "step": 635 + }, + { + "epoch": 0.19705191856213677, + "grad_norm": 0.0551438348203942, + "learning_rate": 0.00019431964659565867, + "loss": 0.9265, + "step": 640 + }, + { + "epoch": 0.19859138667590348, + "grad_norm": 0.05127776312579667, + "learning_rate": 0.0001941396828526412, + "loss": 0.927, + "step": 645 + }, + { + "epoch": 0.20013085478967016, + "grad_norm": 0.05648580243210199, + "learning_rate": 0.00019395699859530623, + "loss": 0.9023, + "step": 650 + }, + { + "epoch": 0.20167032290343687, + "grad_norm": 0.0548444576545457, + "learning_rate": 0.00019377159910299093, + "loss": 0.9127, + "step": 655 + }, + { + "epoch": 0.20320979101720354, + "grad_norm": 0.04982308571194646, + "learning_rate": 0.00019358348973349943, + "loss": 0.896, + "step": 660 + }, + { + "epoch": 0.20474925913097025, + "grad_norm": 0.05789843448294904, + "learning_rate": 0.00019339267592294763, + "loss": 0.9235, + "step": 665 + }, + { + "epoch": 0.20628872724473693, + "grad_norm": 0.050550388560361946, + "learning_rate": 0.00019319916318560635, + "loss": 0.9062, + "step": 670 + }, + { + "epoch": 0.20782819535850364, + "grad_norm": 0.054057089770620986, + "learning_rate": 0.00019300295711374187, + "loss": 0.9225, + "step": 675 + }, + { + "epoch": 0.20936766347227034, + "grad_norm": 0.05060226186203681, + "learning_rate": 0.00019280406337745428, + "loss": 0.9006, + "step": 680 + }, + { + "epoch": 0.21090713158603702, + "grad_norm": 0.060487703264749865, + "learning_rate": 0.00019260248772451377, + "loss": 0.9271, + "step": 685 + }, + { + "epoch": 0.21244659969980373, + "grad_norm": 0.05087519096486981, + "learning_rate": 0.0001923982359801943, + "loss": 0.924, + "step": 690 + }, + { + "epoch": 0.2139860678135704, + "grad_norm": 0.050600273155108975, + "learning_rate": 0.00019219131404710552, + "loss": 0.9467, + "step": 695 + }, + { + "epoch": 0.21552553592733711, + "grad_norm": 0.05205827603309181, + "learning_rate": 0.00019198172790502196, + "loss": 0.906, + "step": 700 + }, + { + "epoch": 0.2170650040411038, + "grad_norm": 0.047259129341584924, + "learning_rate": 0.0001917694836107104, + "loss": 0.9164, + "step": 705 + }, + { + "epoch": 0.2186044721548705, + "grad_norm": 0.045967289482132204, + "learning_rate": 0.00019155458729775467, + "loss": 0.9324, + "step": 710 + }, + { + "epoch": 0.22014394026863718, + "grad_norm": 0.047454682336569326, + "learning_rate": 0.0001913370451763786, + "loss": 0.9025, + "step": 715 + }, + { + "epoch": 0.22168340838240388, + "grad_norm": 0.04616693147301789, + "learning_rate": 0.00019111686353326631, + "loss": 0.9055, + "step": 720 + }, + { + "epoch": 0.22322287649617056, + "grad_norm": 0.049953829560007476, + "learning_rate": 0.00019089404873138082, + "loss": 0.9355, + "step": 725 + }, + { + "epoch": 0.22476234460993727, + "grad_norm": 0.050646893052510175, + "learning_rate": 0.00019066860720977986, + "loss": 0.9284, + "step": 730 + }, + { + "epoch": 0.22630181272370395, + "grad_norm": 0.05034487250112421, + "learning_rate": 0.00019044054548343002, + "loss": 0.9101, + "step": 735 + }, + { + "epoch": 0.22784128083747066, + "grad_norm": 0.04887230407763029, + "learning_rate": 0.0001902098701430184, + "loss": 0.9405, + "step": 740 + }, + { + "epoch": 0.22938074895123733, + "grad_norm": 0.05156805123913926, + "learning_rate": 0.00018997658785476214, + "loss": 0.9408, + "step": 745 + }, + { + "epoch": 0.23092021706500404, + "grad_norm": 0.045216425675149156, + "learning_rate": 0.00018974070536021572, + "loss": 0.9478, + "step": 750 + }, + { + "epoch": 0.23245968517877075, + "grad_norm": 0.053986948133609866, + "learning_rate": 0.00018950222947607625, + "loss": 0.9329, + "step": 755 + }, + { + "epoch": 0.23399915329253743, + "grad_norm": 0.04883518041049424, + "learning_rate": 0.0001892611670939865, + "loss": 0.8833, + "step": 760 + }, + { + "epoch": 0.23553862140630413, + "grad_norm": 0.05491819215808765, + "learning_rate": 0.00018901752518033548, + "loss": 0.9292, + "step": 765 + }, + { + "epoch": 0.2370780895200708, + "grad_norm": 0.048033151778087875, + "learning_rate": 0.0001887713107760575, + "loss": 0.9279, + "step": 770 + }, + { + "epoch": 0.23861755763383752, + "grad_norm": 0.05085333839214927, + "learning_rate": 0.00018852253099642833, + "loss": 0.9014, + "step": 775 + }, + { + "epoch": 0.2401570257476042, + "grad_norm": 0.047876992365331196, + "learning_rate": 0.0001882711930308599, + "loss": 0.9312, + "step": 780 + }, + { + "epoch": 0.2416964938613709, + "grad_norm": 0.048396575556683336, + "learning_rate": 0.00018801730414269225, + "loss": 0.9176, + "step": 785 + }, + { + "epoch": 0.24323596197513758, + "grad_norm": 0.05047818799105187, + "learning_rate": 0.0001877608716689839, + "loss": 0.9412, + "step": 790 + }, + { + "epoch": 0.2447754300889043, + "grad_norm": 0.050841254906904526, + "learning_rate": 0.00018750190302029956, + "loss": 0.9013, + "step": 795 + }, + { + "epoch": 0.24631489820267097, + "grad_norm": 0.05248393498729352, + "learning_rate": 0.00018724040568049612, + "loss": 0.922, + "step": 800 + }, + { + "epoch": 0.24785436631643767, + "grad_norm": 0.05277634783788006, + "learning_rate": 0.00018697638720650646, + "loss": 0.9136, + "step": 805 + }, + { + "epoch": 0.24939383443020435, + "grad_norm": 0.04577816551575828, + "learning_rate": 0.00018670985522812084, + "loss": 0.8914, + "step": 810 + }, + { + "epoch": 0.25093330254397106, + "grad_norm": 0.047133784056639066, + "learning_rate": 0.0001864408174477665, + "loss": 0.9204, + "step": 815 + }, + { + "epoch": 0.25247277065773777, + "grad_norm": 0.047470050981737545, + "learning_rate": 0.00018616928164028523, + "loss": 0.8883, + "step": 820 + }, + { + "epoch": 0.2540122387715045, + "grad_norm": 0.0451286945270303, + "learning_rate": 0.00018589525565270844, + "loss": 0.9137, + "step": 825 + }, + { + "epoch": 0.2555517068852711, + "grad_norm": 0.05014389409036849, + "learning_rate": 0.0001856187474040306, + "loss": 0.9281, + "step": 830 + }, + { + "epoch": 0.25709117499903783, + "grad_norm": 0.050236591187208905, + "learning_rate": 0.00018533976488498016, + "loss": 0.9101, + "step": 835 + }, + { + "epoch": 0.25863064311280454, + "grad_norm": 0.05001661471805326, + "learning_rate": 0.0001850583161577889, + "loss": 0.9349, + "step": 840 + }, + { + "epoch": 0.26017011122657124, + "grad_norm": 0.04645985082158435, + "learning_rate": 0.00018477440935595873, + "loss": 0.9524, + "step": 845 + }, + { + "epoch": 0.2617095793403379, + "grad_norm": 0.048589216000343084, + "learning_rate": 0.00018448805268402672, + "loss": 0.9331, + "step": 850 + }, + { + "epoch": 0.2632490474541046, + "grad_norm": 0.04873829009307298, + "learning_rate": 0.00018419925441732804, + "loss": 0.914, + "step": 855 + }, + { + "epoch": 0.2647885155678713, + "grad_norm": 0.052282665220643836, + "learning_rate": 0.00018390802290175673, + "loss": 0.9244, + "step": 860 + }, + { + "epoch": 0.266327983681638, + "grad_norm": 0.04761057179968087, + "learning_rate": 0.00018361436655352456, + "loss": 0.9032, + "step": 865 + }, + { + "epoch": 0.26786745179540467, + "grad_norm": 0.04691078478567084, + "learning_rate": 0.00018331829385891783, + "loss": 0.9025, + "step": 870 + }, + { + "epoch": 0.26940691990917137, + "grad_norm": 0.04689928092597921, + "learning_rate": 0.00018301981337405212, + "loss": 0.923, + "step": 875 + }, + { + "epoch": 0.2709463880229381, + "grad_norm": 0.050329806919839966, + "learning_rate": 0.00018271893372462497, + "loss": 0.9251, + "step": 880 + }, + { + "epoch": 0.2724858561367048, + "grad_norm": 0.04966113875059789, + "learning_rate": 0.00018241566360566665, + "loss": 0.9053, + "step": 885 + }, + { + "epoch": 0.27402532425047144, + "grad_norm": 0.05275353859230967, + "learning_rate": 0.00018211001178128892, + "loss": 0.9212, + "step": 890 + }, + { + "epoch": 0.27556479236423814, + "grad_norm": 0.04759465019587229, + "learning_rate": 0.00018180198708443173, + "loss": 0.9324, + "step": 895 + }, + { + "epoch": 0.27710426047800485, + "grad_norm": 0.05028165140499341, + "learning_rate": 0.00018149159841660795, + "loss": 0.9149, + "step": 900 + }, + { + "epoch": 0.27864372859177156, + "grad_norm": 0.05511573197678425, + "learning_rate": 0.00018117885474764613, + "loss": 0.956, + "step": 905 + }, + { + "epoch": 0.28018319670553826, + "grad_norm": 0.05105095212128217, + "learning_rate": 0.00018086376511543126, + "loss": 0.9385, + "step": 910 + }, + { + "epoch": 0.2817226648193049, + "grad_norm": 0.050601170231212314, + "learning_rate": 0.00018054633862564368, + "loss": 0.919, + "step": 915 + }, + { + "epoch": 0.2832621329330716, + "grad_norm": 0.05104843063118903, + "learning_rate": 0.0001802265844514958, + "loss": 0.8866, + "step": 920 + }, + { + "epoch": 0.2848016010468383, + "grad_norm": 0.04820628993315859, + "learning_rate": 0.0001799045118334671, + "loss": 0.9294, + "step": 925 + }, + { + "epoch": 0.28634106916060503, + "grad_norm": 0.05584344656415011, + "learning_rate": 0.00017958013007903713, + "loss": 0.9308, + "step": 930 + }, + { + "epoch": 0.2878805372743717, + "grad_norm": 0.05127226028923933, + "learning_rate": 0.0001792534485624164, + "loss": 0.9179, + "step": 935 + }, + { + "epoch": 0.2894200053881384, + "grad_norm": 0.04901315749056508, + "learning_rate": 0.00017892447672427563, + "loss": 0.9166, + "step": 940 + }, + { + "epoch": 0.2909594735019051, + "grad_norm": 0.044541590041367256, + "learning_rate": 0.00017859322407147272, + "loss": 0.9296, + "step": 945 + }, + { + "epoch": 0.2924989416156718, + "grad_norm": 0.04514811142602194, + "learning_rate": 0.00017825970017677832, + "loss": 0.9403, + "step": 950 + }, + { + "epoch": 0.29403840972943845, + "grad_norm": 0.0497766203514951, + "learning_rate": 0.00017792391467859886, + "loss": 0.8969, + "step": 955 + }, + { + "epoch": 0.29557787784320516, + "grad_norm": 0.046772051107154496, + "learning_rate": 0.0001775858772806983, + "loss": 0.9436, + "step": 960 + }, + { + "epoch": 0.29711734595697187, + "grad_norm": 0.045795964863886866, + "learning_rate": 0.00017724559775191744, + "loss": 0.9097, + "step": 965 + }, + { + "epoch": 0.2986568140707386, + "grad_norm": 0.05044904668621051, + "learning_rate": 0.00017690308592589182, + "loss": 0.9214, + "step": 970 + }, + { + "epoch": 0.3001962821845053, + "grad_norm": 0.052229656751926, + "learning_rate": 0.0001765583517007675, + "loss": 0.8822, + "step": 975 + }, + { + "epoch": 0.30173575029827193, + "grad_norm": 0.049422521625903534, + "learning_rate": 0.00017621140503891488, + "loss": 0.8945, + "step": 980 + }, + { + "epoch": 0.30327521841203864, + "grad_norm": 0.054031889194258664, + "learning_rate": 0.00017586225596664102, + "loss": 0.9078, + "step": 985 + }, + { + "epoch": 0.30481468652580535, + "grad_norm": 0.04906883819137053, + "learning_rate": 0.00017551091457389966, + "loss": 0.9123, + "step": 990 + }, + { + "epoch": 0.30635415463957205, + "grad_norm": 0.046767739088330644, + "learning_rate": 0.00017515739101399983, + "loss": 0.9042, + "step": 995 + }, + { + "epoch": 0.3078936227533387, + "grad_norm": 0.04562148158039666, + "learning_rate": 0.00017480169550331231, + "loss": 0.8927, + "step": 1000 + }, + { + "epoch": 0.3094330908671054, + "grad_norm": 0.047045878433571706, + "learning_rate": 0.00017444383832097442, + "loss": 0.9057, + "step": 1005 + }, + { + "epoch": 0.3109725589808721, + "grad_norm": 0.0515310037789988, + "learning_rate": 0.00017408382980859305, + "loss": 0.9173, + "step": 1010 + }, + { + "epoch": 0.3125120270946388, + "grad_norm": 0.04945975879857112, + "learning_rate": 0.00017372168036994566, + "loss": 0.8967, + "step": 1015 + }, + { + "epoch": 0.3140514952084055, + "grad_norm": 0.045915450946519304, + "learning_rate": 0.00017335740047067972, + "loss": 0.9063, + "step": 1020 + }, + { + "epoch": 0.3155909633221722, + "grad_norm": 0.04696718756630669, + "learning_rate": 0.0001729910006380102, + "loss": 0.9204, + "step": 1025 + }, + { + "epoch": 0.3171304314359389, + "grad_norm": 0.054017714335650606, + "learning_rate": 0.00017262249146041546, + "loss": 0.9488, + "step": 1030 + }, + { + "epoch": 0.3186698995497056, + "grad_norm": 0.046208799015592085, + "learning_rate": 0.00017225188358733107, + "loss": 0.8934, + "step": 1035 + }, + { + "epoch": 0.32020936766347224, + "grad_norm": 0.05439874345483133, + "learning_rate": 0.00017187918772884232, + "loss": 0.9364, + "step": 1040 + }, + { + "epoch": 0.32174883577723895, + "grad_norm": 0.045811341739051416, + "learning_rate": 0.00017150441465537447, + "loss": 0.935, + "step": 1045 + }, + { + "epoch": 0.32328830389100566, + "grad_norm": 0.04551232779575255, + "learning_rate": 0.00017112757519738154, + "loss": 0.9106, + "step": 1050 + }, + { + "epoch": 0.32482777200477236, + "grad_norm": 0.050527589367316904, + "learning_rate": 0.0001707486802450335, + "loss": 0.9217, + "step": 1055 + }, + { + "epoch": 0.32636724011853907, + "grad_norm": 0.04871891012305943, + "learning_rate": 0.00017036774074790132, + "loss": 0.8848, + "step": 1060 + }, + { + "epoch": 0.3279067082323057, + "grad_norm": 0.048363348820198084, + "learning_rate": 0.00016998476771464072, + "loss": 0.916, + "step": 1065 + }, + { + "epoch": 0.32944617634607243, + "grad_norm": 0.04799882669750604, + "learning_rate": 0.00016959977221267392, + "loss": 0.8934, + "step": 1070 + }, + { + "epoch": 0.33098564445983913, + "grad_norm": 0.049532832158656184, + "learning_rate": 0.0001692127653678699, + "loss": 0.9207, + "step": 1075 + }, + { + "epoch": 0.33252511257360584, + "grad_norm": 0.049670369145985355, + "learning_rate": 0.00016882375836422284, + "loss": 0.9112, + "step": 1080 + }, + { + "epoch": 0.3340645806873725, + "grad_norm": 0.05066949742909503, + "learning_rate": 0.00016843276244352885, + "loss": 0.9369, + "step": 1085 + }, + { + "epoch": 0.3356040488011392, + "grad_norm": 0.04945281177695019, + "learning_rate": 0.00016803978890506113, + "loss": 0.9444, + "step": 1090 + }, + { + "epoch": 0.3371435169149059, + "grad_norm": 0.05353405785121247, + "learning_rate": 0.00016764484910524358, + "loss": 0.9059, + "step": 1095 + }, + { + "epoch": 0.3386829850286726, + "grad_norm": 0.04906241678051854, + "learning_rate": 0.00016724795445732243, + "loss": 0.8797, + "step": 1100 + }, + { + "epoch": 0.34022245314243926, + "grad_norm": 0.057154558228479126, + "learning_rate": 0.00016684911643103642, + "loss": 0.9355, + "step": 1105 + }, + { + "epoch": 0.34176192125620597, + "grad_norm": 0.049827926481343945, + "learning_rate": 0.0001664483465522855, + "loss": 0.9132, + "step": 1110 + }, + { + "epoch": 0.3433013893699727, + "grad_norm": 0.04854134175156812, + "learning_rate": 0.00016604565640279754, + "loss": 0.9221, + "step": 1115 + }, + { + "epoch": 0.3448408574837394, + "grad_norm": 0.05196607300498118, + "learning_rate": 0.0001656410576197938, + "loss": 0.9293, + "step": 1120 + }, + { + "epoch": 0.3463803255975061, + "grad_norm": 0.04834785242459327, + "learning_rate": 0.0001652345618956526, + "loss": 0.9454, + "step": 1125 + }, + { + "epoch": 0.34791979371127274, + "grad_norm": 0.04617356598468755, + "learning_rate": 0.00016482618097757122, + "loss": 0.9275, + "step": 1130 + }, + { + "epoch": 0.34945926182503945, + "grad_norm": 0.04868318584802262, + "learning_rate": 0.00016441592666722684, + "loss": 0.9141, + "step": 1135 + }, + { + "epoch": 0.35099872993880615, + "grad_norm": 0.04447091312889386, + "learning_rate": 0.00016400381082043507, + "loss": 0.956, + "step": 1140 + }, + { + "epoch": 0.35253819805257286, + "grad_norm": 0.04567651469536377, + "learning_rate": 0.00016358984534680748, + "loss": 0.9272, + "step": 1145 + }, + { + "epoch": 0.3540776661663395, + "grad_norm": 0.04650640057414895, + "learning_rate": 0.00016317404220940758, + "loss": 0.9025, + "step": 1150 + }, + { + "epoch": 0.3556171342801062, + "grad_norm": 0.04372629674005958, + "learning_rate": 0.00016275641342440483, + "loss": 0.9294, + "step": 1155 + }, + { + "epoch": 0.3571566023938729, + "grad_norm": 0.050895686251958096, + "learning_rate": 0.0001623369710607277, + "loss": 0.8862, + "step": 1160 + }, + { + "epoch": 0.35869607050763963, + "grad_norm": 0.04714825832143354, + "learning_rate": 0.00016191572723971455, + "loss": 0.9477, + "step": 1165 + }, + { + "epoch": 0.3602355386214063, + "grad_norm": 0.051310184729132374, + "learning_rate": 0.00016149269413476353, + "loss": 0.883, + "step": 1170 + }, + { + "epoch": 0.361775006735173, + "grad_norm": 0.05062348820990283, + "learning_rate": 0.00016106788397098095, + "loss": 0.8848, + "step": 1175 + }, + { + "epoch": 0.3633144748489397, + "grad_norm": 0.04566500242723035, + "learning_rate": 0.0001606413090248276, + "loss": 0.8814, + "step": 1180 + }, + { + "epoch": 0.3648539429627064, + "grad_norm": 0.051602640362734715, + "learning_rate": 0.00016021298162376428, + "loss": 0.9051, + "step": 1185 + }, + { + "epoch": 0.36639341107647305, + "grad_norm": 0.048994793028383776, + "learning_rate": 0.00015978291414589542, + "loss": 0.9181, + "step": 1190 + }, + { + "epoch": 0.36793287919023976, + "grad_norm": 0.04717320718802025, + "learning_rate": 0.0001593511190196115, + "loss": 0.9299, + "step": 1195 + }, + { + "epoch": 0.36947234730400647, + "grad_norm": 0.050428580066856195, + "learning_rate": 0.00015891760872322963, + "loss": 0.8928, + "step": 1200 + }, + { + "epoch": 0.37101181541777317, + "grad_norm": 0.043926223439215366, + "learning_rate": 0.00015848239578463325, + "loss": 0.9203, + "step": 1205 + }, + { + "epoch": 0.3725512835315399, + "grad_norm": 0.051179038558784154, + "learning_rate": 0.00015804549278090982, + "loss": 0.8929, + "step": 1210 + }, + { + "epoch": 0.37409075164530653, + "grad_norm": 0.05028409083764298, + "learning_rate": 0.00015760691233798757, + "loss": 0.8955, + "step": 1215 + }, + { + "epoch": 0.37563021975907324, + "grad_norm": 0.0478697697271406, + "learning_rate": 0.00015716666713027055, + "loss": 0.9083, + "step": 1220 + }, + { + "epoch": 0.37716968787283994, + "grad_norm": 0.05223173395313064, + "learning_rate": 0.00015672476988027228, + "loss": 0.9158, + "step": 1225 + }, + { + "epoch": 0.37870915598660665, + "grad_norm": 0.05595336863735006, + "learning_rate": 0.0001562812333582482, + "loss": 0.8856, + "step": 1230 + }, + { + "epoch": 0.3802486241003733, + "grad_norm": 0.047063201161414325, + "learning_rate": 0.00015583607038182655, + "loss": 0.9077, + "step": 1235 + }, + { + "epoch": 0.38178809221414, + "grad_norm": 0.05077602726776445, + "learning_rate": 0.000155389293815638, + "loss": 0.9109, + "step": 1240 + }, + { + "epoch": 0.3833275603279067, + "grad_norm": 0.04803050608192193, + "learning_rate": 0.00015494091657094385, + "loss": 0.9117, + "step": 1245 + }, + { + "epoch": 0.3848670284416734, + "grad_norm": 0.052600153553541314, + "learning_rate": 0.00015449095160526292, + "loss": 0.9351, + "step": 1250 + }, + { + "epoch": 0.38640649655544007, + "grad_norm": 0.05078425004669163, + "learning_rate": 0.00015403941192199718, + "loss": 0.9158, + "step": 1255 + }, + { + "epoch": 0.3879459646692068, + "grad_norm": 0.047300542169020104, + "learning_rate": 0.0001535863105700558, + "loss": 0.9222, + "step": 1260 + }, + { + "epoch": 0.3894854327829735, + "grad_norm": 0.0499337783219946, + "learning_rate": 0.00015313166064347814, + "loss": 0.8993, + "step": 1265 + }, + { + "epoch": 0.3910249008967402, + "grad_norm": 0.04421937665282515, + "learning_rate": 0.00015267547528105538, + "loss": 0.9147, + "step": 1270 + }, + { + "epoch": 0.3925643690105069, + "grad_norm": 0.044571852373292344, + "learning_rate": 0.0001522177676659508, + "loss": 0.9415, + "step": 1275 + }, + { + "epoch": 0.39410383712427355, + "grad_norm": 0.046596705359225846, + "learning_rate": 0.00015175855102531887, + "loss": 0.8979, + "step": 1280 + }, + { + "epoch": 0.39564330523804025, + "grad_norm": 0.045724837857095094, + "learning_rate": 0.00015129783862992283, + "loss": 0.899, + "step": 1285 + }, + { + "epoch": 0.39718277335180696, + "grad_norm": 0.053727794778771945, + "learning_rate": 0.0001508356437937512, + "loss": 0.9224, + "step": 1290 + }, + { + "epoch": 0.39872224146557367, + "grad_norm": 0.0510139813187336, + "learning_rate": 0.00015037197987363338, + "loss": 0.9109, + "step": 1295 + }, + { + "epoch": 0.4002617095793403, + "grad_norm": 0.04914990325645437, + "learning_rate": 0.0001499068602688532, + "loss": 0.9385, + "step": 1300 + }, + { + "epoch": 0.401801177693107, + "grad_norm": 0.04759626671434196, + "learning_rate": 0.00014944029842076185, + "loss": 0.91, + "step": 1305 + }, + { + "epoch": 0.40334064580687373, + "grad_norm": 0.048748643361189885, + "learning_rate": 0.0001489723078123896, + "loss": 0.9186, + "step": 1310 + }, + { + "epoch": 0.40488011392064044, + "grad_norm": 0.047860946511890864, + "learning_rate": 0.00014850290196805594, + "loss": 0.9218, + "step": 1315 + }, + { + "epoch": 0.4064195820344071, + "grad_norm": 0.04550478467051693, + "learning_rate": 0.00014803209445297887, + "loss": 0.8886, + "step": 1320 + }, + { + "epoch": 0.4079590501481738, + "grad_norm": 0.04833318781042355, + "learning_rate": 0.00014755989887288285, + "loss": 0.9221, + "step": 1325 + }, + { + "epoch": 0.4094985182619405, + "grad_norm": 0.05020532883685666, + "learning_rate": 0.00014708632887360564, + "loss": 0.9162, + "step": 1330 + }, + { + "epoch": 0.4110379863757072, + "grad_norm": 0.04679679704616009, + "learning_rate": 0.0001466113981407039, + "loss": 0.9232, + "step": 1335 + }, + { + "epoch": 0.41257745448947386, + "grad_norm": 0.050508164787588954, + "learning_rate": 0.00014613512039905765, + "loss": 0.911, + "step": 1340 + }, + { + "epoch": 0.41411692260324057, + "grad_norm": 0.04830099079596549, + "learning_rate": 0.00014565750941247386, + "loss": 0.8917, + "step": 1345 + }, + { + "epoch": 0.4156563907170073, + "grad_norm": 0.048848878196708544, + "learning_rate": 0.0001451785789832884, + "loss": 0.898, + "step": 1350 + }, + { + "epoch": 0.417195858830774, + "grad_norm": 0.05215004480641985, + "learning_rate": 0.00014469834295196743, + "loss": 0.9239, + "step": 1355 + }, + { + "epoch": 0.4187353269445407, + "grad_norm": 0.04994491938163197, + "learning_rate": 0.00014421681519670722, + "loss": 0.9189, + "step": 1360 + }, + { + "epoch": 0.42027479505830734, + "grad_norm": 0.048232822341065185, + "learning_rate": 0.0001437340096330332, + "loss": 0.9255, + "step": 1365 + }, + { + "epoch": 0.42181426317207404, + "grad_norm": 0.04919041827285363, + "learning_rate": 0.0001432499402133979, + "loss": 0.9164, + "step": 1370 + }, + { + "epoch": 0.42335373128584075, + "grad_norm": 0.04623444150419545, + "learning_rate": 0.0001427646209267775, + "loss": 0.9087, + "step": 1375 + }, + { + "epoch": 0.42489319939960746, + "grad_norm": 0.048472709471847446, + "learning_rate": 0.00014227806579826774, + "loss": 0.8969, + "step": 1380 + }, + { + "epoch": 0.4264326675133741, + "grad_norm": 0.049327204957984185, + "learning_rate": 0.00014179028888867867, + "loss": 0.949, + "step": 1385 + }, + { + "epoch": 0.4279721356271408, + "grad_norm": 0.05555195843727436, + "learning_rate": 0.00014130130429412815, + "loss": 0.9044, + "step": 1390 + }, + { + "epoch": 0.4295116037409075, + "grad_norm": 0.051799419936980215, + "learning_rate": 0.0001408111261456346, + "loss": 0.8921, + "step": 1395 + }, + { + "epoch": 0.43105107185467423, + "grad_norm": 0.046270078670221725, + "learning_rate": 0.00014031976860870855, + "loss": 0.8874, + "step": 1400 + }, + { + "epoch": 0.4325905399684409, + "grad_norm": 0.04941817581350544, + "learning_rate": 0.00013982724588294335, + "loss": 0.9001, + "step": 1405 + }, + { + "epoch": 0.4341300080822076, + "grad_norm": 0.04887226355400606, + "learning_rate": 0.00013933357220160476, + "loss": 0.9353, + "step": 1410 + }, + { + "epoch": 0.4356694761959743, + "grad_norm": 0.04821337321743884, + "learning_rate": 0.00013883876183121973, + "loss": 0.9272, + "step": 1415 + }, + { + "epoch": 0.437208944309741, + "grad_norm": 0.049898799489967206, + "learning_rate": 0.000138342829071164, + "loss": 0.9174, + "step": 1420 + }, + { + "epoch": 0.4387484124235077, + "grad_norm": 0.048656203845601646, + "learning_rate": 0.00013784578825324885, + "loss": 0.8906, + "step": 1425 + }, + { + "epoch": 0.44028788053727436, + "grad_norm": 0.04620511855527758, + "learning_rate": 0.00013734765374130717, + "loss": 0.9087, + "step": 1430 + }, + { + "epoch": 0.44182734865104106, + "grad_norm": 0.04999574904136337, + "learning_rate": 0.00013684843993077788, + "loss": 0.8928, + "step": 1435 + }, + { + "epoch": 0.44336681676480777, + "grad_norm": 0.04817308835362055, + "learning_rate": 0.00013634816124829063, + "loss": 0.8994, + "step": 1440 + }, + { + "epoch": 0.4449062848785745, + "grad_norm": 0.044807384662721876, + "learning_rate": 0.0001358468321512481, + "loss": 0.9323, + "step": 1445 + }, + { + "epoch": 0.4464457529923411, + "grad_norm": 0.04745745776343273, + "learning_rate": 0.00013534446712740877, + "loss": 0.9087, + "step": 1450 + }, + { + "epoch": 0.44798522110610783, + "grad_norm": 0.049663621405145894, + "learning_rate": 0.0001348410806944681, + "loss": 0.8972, + "step": 1455 + }, + { + "epoch": 0.44952468921987454, + "grad_norm": 0.05332229094490998, + "learning_rate": 0.00013433668739963882, + "loss": 0.9014, + "step": 1460 + }, + { + "epoch": 0.45106415733364125, + "grad_norm": 0.04572502563110564, + "learning_rate": 0.00013383130181923071, + "loss": 0.9036, + "step": 1465 + }, + { + "epoch": 0.4526036254474079, + "grad_norm": 0.04805188541183551, + "learning_rate": 0.00013332493855822936, + "loss": 0.8927, + "step": 1470 + }, + { + "epoch": 0.4541430935611746, + "grad_norm": 0.04946728536218321, + "learning_rate": 0.00013281761224987398, + "loss": 0.884, + "step": 1475 + }, + { + "epoch": 0.4556825616749413, + "grad_norm": 0.04761071510226589, + "learning_rate": 0.00013230933755523466, + "loss": 0.9059, + "step": 1480 + }, + { + "epoch": 0.457222029788708, + "grad_norm": 0.04991160344244152, + "learning_rate": 0.00013180012916278854, + "loss": 0.9204, + "step": 1485 + }, + { + "epoch": 0.45876149790247467, + "grad_norm": 0.04997242360939681, + "learning_rate": 0.00013129000178799548, + "loss": 0.9116, + "step": 1490 + }, + { + "epoch": 0.4603009660162414, + "grad_norm": 0.04894858600532897, + "learning_rate": 0.00013077897017287272, + "loss": 0.8855, + "step": 1495 + }, + { + "epoch": 0.4618404341300081, + "grad_norm": 0.05029992919887125, + "learning_rate": 0.00013026704908556888, + "loss": 0.9303, + "step": 1500 + }, + { + "epoch": 0.4633799022437748, + "grad_norm": 0.050898543846493435, + "learning_rate": 0.0001297542533199371, + "loss": 0.9209, + "step": 1505 + }, + { + "epoch": 0.4649193703575415, + "grad_norm": 0.04963049003889223, + "learning_rate": 0.00012924059769510768, + "loss": 0.9156, + "step": 1510 + }, + { + "epoch": 0.46645883847130815, + "grad_norm": 0.049519531874776083, + "learning_rate": 0.00012872609705505964, + "loss": 0.9273, + "step": 1515 + }, + { + "epoch": 0.46799830658507485, + "grad_norm": 0.05098025085500099, + "learning_rate": 0.00012821076626819196, + "loss": 0.9145, + "step": 1520 + }, + { + "epoch": 0.46953777469884156, + "grad_norm": 0.052520698863764266, + "learning_rate": 0.00012769462022689363, + "loss": 0.9059, + "step": 1525 + }, + { + "epoch": 0.47107724281260827, + "grad_norm": 0.046885402287568066, + "learning_rate": 0.0001271776738471136, + "loss": 0.9084, + "step": 1530 + }, + { + "epoch": 0.4726167109263749, + "grad_norm": 0.05134637502690939, + "learning_rate": 0.00012665994206792938, + "loss": 0.9333, + "step": 1535 + }, + { + "epoch": 0.4741561790401416, + "grad_norm": 0.044736051310860794, + "learning_rate": 0.00012614143985111565, + "loss": 0.966, + "step": 1540 + }, + { + "epoch": 0.47569564715390833, + "grad_norm": 0.052866581288498866, + "learning_rate": 0.00012562218218071164, + "loss": 0.8973, + "step": 1545 + }, + { + "epoch": 0.47723511526767504, + "grad_norm": 0.04912631183968688, + "learning_rate": 0.0001251021840625883, + "loss": 0.901, + "step": 1550 + }, + { + "epoch": 0.4787745833814417, + "grad_norm": 0.05796784976691198, + "learning_rate": 0.00012458146052401442, + "loss": 0.9028, + "step": 1555 + }, + { + "epoch": 0.4803140514952084, + "grad_norm": 0.048382356277699094, + "learning_rate": 0.00012406002661322264, + "loss": 0.8968, + "step": 1560 + }, + { + "epoch": 0.4818535196089751, + "grad_norm": 0.04824535557964773, + "learning_rate": 0.00012353789739897437, + "loss": 0.9223, + "step": 1565 + }, + { + "epoch": 0.4833929877227418, + "grad_norm": 0.04791248494600298, + "learning_rate": 0.00012301508797012432, + "loss": 0.905, + "step": 1570 + }, + { + "epoch": 0.4849324558365085, + "grad_norm": 0.04920168920976926, + "learning_rate": 0.00012249161343518466, + "loss": 0.8898, + "step": 1575 + }, + { + "epoch": 0.48647192395027516, + "grad_norm": 0.04821219071584707, + "learning_rate": 0.00012196748892188816, + "loss": 0.9172, + "step": 1580 + }, + { + "epoch": 0.48801139206404187, + "grad_norm": 0.04801131628609144, + "learning_rate": 0.00012144272957675108, + "loss": 0.9079, + "step": 1585 + }, + { + "epoch": 0.4895508601778086, + "grad_norm": 0.0494886933485408, + "learning_rate": 0.00012091735056463562, + "loss": 0.8918, + "step": 1590 + }, + { + "epoch": 0.4910903282915753, + "grad_norm": 0.05157629416069951, + "learning_rate": 0.00012039136706831145, + "loss": 0.9354, + "step": 1595 + }, + { + "epoch": 0.49262979640534194, + "grad_norm": 0.04980659124460385, + "learning_rate": 0.00011986479428801709, + "loss": 0.9131, + "step": 1600 + }, + { + "epoch": 0.49416926451910864, + "grad_norm": 0.04888303131555791, + "learning_rate": 0.00011933764744102058, + "loss": 0.8903, + "step": 1605 + }, + { + "epoch": 0.49570873263287535, + "grad_norm": 0.05003112563947073, + "learning_rate": 0.00011880994176117976, + "loss": 0.9179, + "step": 1610 + }, + { + "epoch": 0.49724820074664206, + "grad_norm": 0.04777538154853683, + "learning_rate": 0.00011828169249850201, + "loss": 0.9163, + "step": 1615 + }, + { + "epoch": 0.4987876688604087, + "grad_norm": 0.05074786015766115, + "learning_rate": 0.00011775291491870351, + "loss": 0.8999, + "step": 1620 + }, + { + "epoch": 0.5003271369741754, + "grad_norm": 0.049063505070354355, + "learning_rate": 0.00011722362430276816, + "loss": 0.907, + "step": 1625 + }, + { + "epoch": 0.5018666050879421, + "grad_norm": 0.049098848873215875, + "learning_rate": 0.00011669383594650593, + "loss": 0.9324, + "step": 1630 + }, + { + "epoch": 0.5034060732017088, + "grad_norm": 0.046020639564825015, + "learning_rate": 0.00011616356516011083, + "loss": 0.8911, + "step": 1635 + }, + { + "epoch": 0.5049455413154755, + "grad_norm": 0.05089226172884991, + "learning_rate": 0.00011563282726771847, + "loss": 0.9177, + "step": 1640 + }, + { + "epoch": 0.5064850094292422, + "grad_norm": 0.04938039025170907, + "learning_rate": 0.0001151016376069632, + "loss": 0.9405, + "step": 1645 + }, + { + "epoch": 0.508024477543009, + "grad_norm": 0.048691616868991525, + "learning_rate": 0.00011457001152853493, + "loss": 0.8958, + "step": 1650 + }, + { + "epoch": 0.5095639456567755, + "grad_norm": 0.047488356666995184, + "learning_rate": 0.00011403796439573544, + "loss": 0.9082, + "step": 1655 + }, + { + "epoch": 0.5111034137705422, + "grad_norm": 0.04706768719557111, + "learning_rate": 0.00011350551158403442, + "loss": 0.9331, + "step": 1660 + }, + { + "epoch": 0.512642881884309, + "grad_norm": 0.04385967327877815, + "learning_rate": 0.0001129726684806252, + "loss": 0.8857, + "step": 1665 + }, + { + "epoch": 0.5141823499980757, + "grad_norm": 0.051532938748309255, + "learning_rate": 0.00011243945048398003, + "loss": 0.8908, + "step": 1670 + }, + { + "epoch": 0.5157218181118424, + "grad_norm": 0.04623181890622743, + "learning_rate": 0.000111905873003405, + "loss": 0.9026, + "step": 1675 + }, + { + "epoch": 0.5172612862256091, + "grad_norm": 0.05177657958980996, + "learning_rate": 0.00011137195145859494, + "loss": 0.8843, + "step": 1680 + }, + { + "epoch": 0.5188007543393758, + "grad_norm": 0.046296108567482355, + "learning_rate": 0.00011083770127918762, + "loss": 0.8838, + "step": 1685 + }, + { + "epoch": 0.5203402224531425, + "grad_norm": 0.051247343947526836, + "learning_rate": 0.00011030313790431788, + "loss": 0.9165, + "step": 1690 + }, + { + "epoch": 0.5218796905669091, + "grad_norm": 0.051691250574067094, + "learning_rate": 0.00010976827678217161, + "loss": 0.8813, + "step": 1695 + }, + { + "epoch": 0.5234191586806758, + "grad_norm": 0.04567288707386652, + "learning_rate": 0.00010923313336953913, + "loss": 0.8939, + "step": 1700 + }, + { + "epoch": 0.5249586267944425, + "grad_norm": 0.04586936870346886, + "learning_rate": 0.00010869772313136861, + "loss": 0.9012, + "step": 1705 + }, + { + "epoch": 0.5264980949082092, + "grad_norm": 0.04460595879520053, + "learning_rate": 0.00010816206154031916, + "loss": 0.8875, + "step": 1710 + }, + { + "epoch": 0.5280375630219759, + "grad_norm": 0.050944410064677675, + "learning_rate": 0.00010762616407631356, + "loss": 0.9415, + "step": 1715 + }, + { + "epoch": 0.5295770311357426, + "grad_norm": 0.059744943371876844, + "learning_rate": 0.00010709004622609116, + "loss": 0.9385, + "step": 1720 + }, + { + "epoch": 0.5311164992495093, + "grad_norm": 0.05553649610942733, + "learning_rate": 0.00010655372348276006, + "loss": 0.8979, + "step": 1725 + }, + { + "epoch": 0.532655967363276, + "grad_norm": 0.051926822886669166, + "learning_rate": 0.00010601721134534959, + "loss": 0.9113, + "step": 1730 + }, + { + "epoch": 0.5341954354770427, + "grad_norm": 0.04941826428941035, + "learning_rate": 0.00010548052531836223, + "loss": 0.905, + "step": 1735 + }, + { + "epoch": 0.5357349035908093, + "grad_norm": 0.0527044621920537, + "learning_rate": 0.00010494368091132576, + "loss": 0.9028, + "step": 1740 + }, + { + "epoch": 0.537274371704576, + "grad_norm": 0.048514900283774504, + "learning_rate": 0.00010440669363834483, + "loss": 0.8898, + "step": 1745 + }, + { + "epoch": 0.5388138398183427, + "grad_norm": 0.046357229010524525, + "learning_rate": 0.00010386957901765277, + "loss": 0.9095, + "step": 1750 + }, + { + "epoch": 0.5403533079321095, + "grad_norm": 0.0464242270463998, + "learning_rate": 0.00010333235257116313, + "loss": 0.8576, + "step": 1755 + }, + { + "epoch": 0.5418927760458762, + "grad_norm": 0.04854933121211971, + "learning_rate": 0.00010279502982402103, + "loss": 0.918, + "step": 1760 + }, + { + "epoch": 0.5434322441596429, + "grad_norm": 0.04881303108310671, + "learning_rate": 0.00010225762630415457, + "loss": 0.8918, + "step": 1765 + }, + { + "epoch": 0.5449717122734096, + "grad_norm": 0.04968155994030721, + "learning_rate": 0.00010172015754182607, + "loss": 0.9163, + "step": 1770 + }, + { + "epoch": 0.5465111803871763, + "grad_norm": 0.050904812829817965, + "learning_rate": 0.00010118263906918331, + "loss": 0.9132, + "step": 1775 + }, + { + "epoch": 0.5480506485009429, + "grad_norm": 0.04909198498496398, + "learning_rate": 0.00010064508641981054, + "loss": 0.8792, + "step": 1780 + }, + { + "epoch": 0.5495901166147096, + "grad_norm": 0.05019294870663726, + "learning_rate": 0.0001001075151282798, + "loss": 0.9235, + "step": 1785 + }, + { + "epoch": 0.5511295847284763, + "grad_norm": 0.04910118909724831, + "learning_rate": 9.956994072970179e-05, + "loss": 0.9058, + "step": 1790 + }, + { + "epoch": 0.552669052842243, + "grad_norm": 0.04468508395156117, + "learning_rate": 9.903237875927698e-05, + "loss": 0.9365, + "step": 1795 + }, + { + "epoch": 0.5542085209560097, + "grad_norm": 0.04546291013701692, + "learning_rate": 9.849484475184672e-05, + "loss": 0.8978, + "step": 1800 + }, + { + "epoch": 0.5557479890697764, + "grad_norm": 0.05064130811494575, + "learning_rate": 9.795735424144428e-05, + "loss": 0.8882, + "step": 1805 + }, + { + "epoch": 0.5572874571835431, + "grad_norm": 0.04926396297485791, + "learning_rate": 9.74199227608459e-05, + "loss": 0.9096, + "step": 1810 + }, + { + "epoch": 0.5588269252973098, + "grad_norm": 0.04864342218523345, + "learning_rate": 9.688256584112192e-05, + "loss": 0.8931, + "step": 1815 + }, + { + "epoch": 0.5603663934110765, + "grad_norm": 0.05149354719899412, + "learning_rate": 9.634529901118799e-05, + "loss": 0.8993, + "step": 1820 + }, + { + "epoch": 0.5619058615248431, + "grad_norm": 0.048833615891704936, + "learning_rate": 9.580813779735624e-05, + "loss": 0.9103, + "step": 1825 + }, + { + "epoch": 0.5634453296386098, + "grad_norm": 0.04911921426500149, + "learning_rate": 9.52710977228867e-05, + "loss": 0.9014, + "step": 1830 + }, + { + "epoch": 0.5649847977523765, + "grad_norm": 0.05022485311358825, + "learning_rate": 9.473419430753864e-05, + "loss": 0.8591, + "step": 1835 + }, + { + "epoch": 0.5665242658661432, + "grad_norm": 0.04955602494518542, + "learning_rate": 9.419744306712197e-05, + "loss": 0.8835, + "step": 1840 + }, + { + "epoch": 0.56806373397991, + "grad_norm": 0.05007271924525583, + "learning_rate": 9.3660859513049e-05, + "loss": 0.9356, + "step": 1845 + }, + { + "epoch": 0.5696032020936767, + "grad_norm": 0.05122824824006998, + "learning_rate": 9.312445915188609e-05, + "loss": 0.9023, + "step": 1850 + }, + { + "epoch": 0.5711426702074434, + "grad_norm": 0.050844115063622415, + "learning_rate": 9.258825748490558e-05, + "loss": 0.9229, + "step": 1855 + }, + { + "epoch": 0.5726821383212101, + "grad_norm": 0.05035025571223379, + "learning_rate": 9.205227000763788e-05, + "loss": 0.9195, + "step": 1860 + }, + { + "epoch": 0.5742216064349767, + "grad_norm": 0.049262791068879354, + "learning_rate": 9.151651220942349e-05, + "loss": 0.9216, + "step": 1865 + }, + { + "epoch": 0.5757610745487434, + "grad_norm": 0.04738660153724957, + "learning_rate": 9.098099957296552e-05, + "loss": 0.9125, + "step": 1870 + }, + { + "epoch": 0.5773005426625101, + "grad_norm": 0.048935820953397643, + "learning_rate": 9.044574757388224e-05, + "loss": 0.9094, + "step": 1875 + }, + { + "epoch": 0.5788400107762768, + "grad_norm": 0.04691306454158609, + "learning_rate": 8.991077168025976e-05, + "loss": 0.905, + "step": 1880 + }, + { + "epoch": 0.5803794788900435, + "grad_norm": 0.05133111412345183, + "learning_rate": 8.937608735220527e-05, + "loss": 0.9186, + "step": 1885 + }, + { + "epoch": 0.5819189470038102, + "grad_norm": 0.051329822743825367, + "learning_rate": 8.884171004139996e-05, + "loss": 0.9025, + "step": 1890 + }, + { + "epoch": 0.5834584151175769, + "grad_norm": 0.04706601914619586, + "learning_rate": 8.830765519065262e-05, + "loss": 0.8676, + "step": 1895 + }, + { + "epoch": 0.5849978832313436, + "grad_norm": 0.05352891934650077, + "learning_rate": 8.777393823345343e-05, + "loss": 0.9192, + "step": 1900 + }, + { + "epoch": 0.5865373513451103, + "grad_norm": 0.04834968781184054, + "learning_rate": 8.724057459352784e-05, + "loss": 0.8724, + "step": 1905 + }, + { + "epoch": 0.5880768194588769, + "grad_norm": 0.044222947012426655, + "learning_rate": 8.670757968439086e-05, + "loss": 0.9333, + "step": 1910 + }, + { + "epoch": 0.5896162875726436, + "grad_norm": 0.05079157358067232, + "learning_rate": 8.617496890890179e-05, + "loss": 0.9094, + "step": 1915 + }, + { + "epoch": 0.5911557556864103, + "grad_norm": 0.050375433903915766, + "learning_rate": 8.564275765881887e-05, + "loss": 0.9156, + "step": 1920 + }, + { + "epoch": 0.592695223800177, + "grad_norm": 0.04868715846487233, + "learning_rate": 8.511096131435454e-05, + "loss": 0.8904, + "step": 1925 + }, + { + "epoch": 0.5942346919139437, + "grad_norm": 0.04810372148191546, + "learning_rate": 8.457959524373109e-05, + "loss": 0.9052, + "step": 1930 + }, + { + "epoch": 0.5957741600277104, + "grad_norm": 0.04755974196810061, + "learning_rate": 8.404867480273636e-05, + "loss": 0.9271, + "step": 1935 + }, + { + "epoch": 0.5973136281414771, + "grad_norm": 0.0478039967873912, + "learning_rate": 8.351821533428023e-05, + "loss": 0.9033, + "step": 1940 + }, + { + "epoch": 0.5988530962552439, + "grad_norm": 0.04906160648695682, + "learning_rate": 8.298823216795093e-05, + "loss": 0.9237, + "step": 1945 + }, + { + "epoch": 0.6003925643690106, + "grad_norm": 0.046540573735668354, + "learning_rate": 8.245874061957224e-05, + "loss": 0.9118, + "step": 1950 + }, + { + "epoch": 0.6019320324827772, + "grad_norm": 0.046166297970054594, + "learning_rate": 8.192975599076078e-05, + "loss": 0.8924, + "step": 1955 + }, + { + "epoch": 0.6034715005965439, + "grad_norm": 0.044047187769735666, + "learning_rate": 8.140129356848387e-05, + "loss": 0.8964, + "step": 1960 + }, + { + "epoch": 0.6050109687103106, + "grad_norm": 0.04678512152897659, + "learning_rate": 8.087336862461783e-05, + "loss": 0.8889, + "step": 1965 + }, + { + "epoch": 0.6065504368240773, + "grad_norm": 0.05171025733167019, + "learning_rate": 8.034599641550642e-05, + "loss": 0.9185, + "step": 1970 + }, + { + "epoch": 0.608089904937844, + "grad_norm": 0.05197154775293005, + "learning_rate": 7.981919218152016e-05, + "loss": 0.8856, + "step": 1975 + }, + { + "epoch": 0.6096293730516107, + "grad_norm": 0.04806811361587056, + "learning_rate": 7.929297114661581e-05, + "loss": 0.8966, + "step": 1980 + }, + { + "epoch": 0.6111688411653774, + "grad_norm": 0.0483073053451646, + "learning_rate": 7.876734851789643e-05, + "loss": 0.921, + "step": 1985 + }, + { + "epoch": 0.6127083092791441, + "grad_norm": 0.052489394135255815, + "learning_rate": 7.824233948517185e-05, + "loss": 0.9218, + "step": 1990 + }, + { + "epoch": 0.6142477773929107, + "grad_norm": 0.04794477112095112, + "learning_rate": 7.771795922051999e-05, + "loss": 0.9177, + "step": 1995 + }, + { + "epoch": 0.6157872455066774, + "grad_norm": 0.04956784535077608, + "learning_rate": 7.719422287784798e-05, + "loss": 0.8914, + "step": 2000 + }, + { + "epoch": 0.6173267136204441, + "grad_norm": 0.04659852412787985, + "learning_rate": 7.667114559245451e-05, + "loss": 0.8891, + "step": 2005 + }, + { + "epoch": 0.6188661817342108, + "grad_norm": 0.05397377178528671, + "learning_rate": 7.614874248059238e-05, + "loss": 0.8999, + "step": 2010 + }, + { + "epoch": 0.6204056498479775, + "grad_norm": 0.04880480656639066, + "learning_rate": 7.56270286390316e-05, + "loss": 0.8914, + "step": 2015 + }, + { + "epoch": 0.6219451179617442, + "grad_norm": 0.0595785459438196, + "learning_rate": 7.510601914462331e-05, + "loss": 0.8818, + "step": 2020 + }, + { + "epoch": 0.6234845860755109, + "grad_norm": 0.048788834960320694, + "learning_rate": 7.458572905386381e-05, + "loss": 0.8838, + "step": 2025 + }, + { + "epoch": 0.6250240541892776, + "grad_norm": 0.045705258650394785, + "learning_rate": 7.406617340245957e-05, + "loss": 0.9223, + "step": 2030 + }, + { + "epoch": 0.6265635223030444, + "grad_norm": 0.04669796206524976, + "learning_rate": 7.354736720489273e-05, + "loss": 0.8891, + "step": 2035 + }, + { + "epoch": 0.628102990416811, + "grad_norm": 0.04916213749618641, + "learning_rate": 7.302932545398721e-05, + "loss": 0.9074, + "step": 2040 + }, + { + "epoch": 0.6296424585305777, + "grad_norm": 0.04569107557257168, + "learning_rate": 7.251206312047547e-05, + "loss": 0.8764, + "step": 2045 + }, + { + "epoch": 0.6311819266443444, + "grad_norm": 0.04964260088103693, + "learning_rate": 7.199559515256573e-05, + "loss": 0.924, + "step": 2050 + }, + { + "epoch": 0.6327213947581111, + "grad_norm": 0.048960093238618815, + "learning_rate": 7.14799364755101e-05, + "loss": 0.8949, + "step": 2055 + }, + { + "epoch": 0.6342608628718778, + "grad_norm": 0.054026565865804656, + "learning_rate": 7.096510199117327e-05, + "loss": 0.9077, + "step": 2060 + }, + { + "epoch": 0.6358003309856445, + "grad_norm": 0.05251895743669816, + "learning_rate": 7.045110657760179e-05, + "loss": 0.9142, + "step": 2065 + }, + { + "epoch": 0.6373397990994112, + "grad_norm": 0.05001620423587143, + "learning_rate": 6.993796508859418e-05, + "loss": 0.8995, + "step": 2070 + }, + { + "epoch": 0.6388792672131779, + "grad_norm": 0.050303627652658243, + "learning_rate": 6.942569235327167e-05, + "loss": 0.9019, + "step": 2075 + }, + { + "epoch": 0.6404187353269445, + "grad_norm": 0.04941507039840511, + "learning_rate": 6.891430317564964e-05, + "loss": 0.9084, + "step": 2080 + }, + { + "epoch": 0.6419582034407112, + "grad_norm": 0.04935121720371743, + "learning_rate": 6.840381233420973e-05, + "loss": 0.9054, + "step": 2085 + }, + { + "epoch": 0.6434976715544779, + "grad_norm": 0.04517252434388429, + "learning_rate": 6.789423458147292e-05, + "loss": 0.8993, + "step": 2090 + }, + { + "epoch": 0.6450371396682446, + "grad_norm": 0.05115514741866341, + "learning_rate": 6.738558464357305e-05, + "loss": 0.9209, + "step": 2095 + }, + { + "epoch": 0.6465766077820113, + "grad_norm": 0.05140726619238067, + "learning_rate": 6.687787721983136e-05, + "loss": 0.9355, + "step": 2100 + }, + { + "epoch": 0.648116075895778, + "grad_norm": 0.05038813028960742, + "learning_rate": 6.63711269823317e-05, + "loss": 0.8943, + "step": 2105 + }, + { + "epoch": 0.6496555440095447, + "grad_norm": 0.055624576968490075, + "learning_rate": 6.586534857549638e-05, + "loss": 0.9085, + "step": 2110 + }, + { + "epoch": 0.6511950121233114, + "grad_norm": 0.05129186851296076, + "learning_rate": 6.536055661566312e-05, + "loss": 0.927, + "step": 2115 + }, + { + "epoch": 0.6527344802370781, + "grad_norm": 0.04555360600540732, + "learning_rate": 6.485676569066258e-05, + "loss": 0.9395, + "step": 2120 + }, + { + "epoch": 0.6542739483508447, + "grad_norm": 0.05296379155269382, + "learning_rate": 6.43539903593969e-05, + "loss": 0.9081, + "step": 2125 + }, + { + "epoch": 0.6558134164646114, + "grad_norm": 0.04919069940254436, + "learning_rate": 6.385224515141879e-05, + "loss": 0.8944, + "step": 2130 + }, + { + "epoch": 0.6573528845783781, + "grad_norm": 0.0522053813927617, + "learning_rate": 6.335154456651178e-05, + "loss": 0.9116, + "step": 2135 + }, + { + "epoch": 0.6588923526921449, + "grad_norm": 0.051576528357524944, + "learning_rate": 6.285190307427114e-05, + "loss": 0.935, + "step": 2140 + }, + { + "epoch": 0.6604318208059116, + "grad_norm": 0.049706711499682615, + "learning_rate": 6.235333511368573e-05, + "loss": 0.9228, + "step": 2145 + }, + { + "epoch": 0.6619712889196783, + "grad_norm": 0.05032192517838721, + "learning_rate": 6.185585509272078e-05, + "loss": 0.9146, + "step": 2150 + }, + { + "epoch": 0.663510757033445, + "grad_norm": 0.052718683382770616, + "learning_rate": 6.135947738790145e-05, + "loss": 0.9233, + "step": 2155 + }, + { + "epoch": 0.6650502251472117, + "grad_norm": 0.0493293346157755, + "learning_rate": 6.0864216343897365e-05, + "loss": 0.9053, + "step": 2160 + }, + { + "epoch": 0.6665896932609783, + "grad_norm": 0.05315667999825589, + "learning_rate": 6.0370086273108205e-05, + "loss": 0.9295, + "step": 2165 + }, + { + "epoch": 0.668129161374745, + "grad_norm": 0.047212072599722384, + "learning_rate": 5.987710145524992e-05, + "loss": 0.9253, + "step": 2170 + }, + { + "epoch": 0.6696686294885117, + "grad_norm": 0.050669226462072614, + "learning_rate": 5.938527613694214e-05, + "loss": 0.9083, + "step": 2175 + }, + { + "epoch": 0.6712080976022784, + "grad_norm": 0.05100220067507159, + "learning_rate": 5.8894624531296486e-05, + "loss": 0.8645, + "step": 2180 + }, + { + "epoch": 0.6727475657160451, + "grad_norm": 0.051987668437823965, + "learning_rate": 5.840516081750583e-05, + "loss": 0.8996, + "step": 2185 + }, + { + "epoch": 0.6742870338298118, + "grad_norm": 0.04753179189866846, + "learning_rate": 5.791689914043447e-05, + "loss": 0.9343, + "step": 2190 + }, + { + "epoch": 0.6758265019435785, + "grad_norm": 0.0480193892017521, + "learning_rate": 5.742985361020945e-05, + "loss": 0.9033, + "step": 2195 + }, + { + "epoch": 0.6773659700573452, + "grad_norm": 0.04740490974672915, + "learning_rate": 5.69440383018127e-05, + "loss": 0.9184, + "step": 2200 + }, + { + "epoch": 0.6789054381711119, + "grad_norm": 0.05175060569501943, + "learning_rate": 5.6459467254674435e-05, + "loss": 0.8675, + "step": 2205 + }, + { + "epoch": 0.6804449062848785, + "grad_norm": 0.05185903028595489, + "learning_rate": 5.597615447226724e-05, + "loss": 0.9068, + "step": 2210 + }, + { + "epoch": 0.6819843743986452, + "grad_norm": 0.04719298233429231, + "learning_rate": 5.549411392170154e-05, + "loss": 0.8831, + "step": 2215 + }, + { + "epoch": 0.6835238425124119, + "grad_norm": 0.05015798124154065, + "learning_rate": 5.501335953332187e-05, + "loss": 0.9059, + "step": 2220 + }, + { + "epoch": 0.6850633106261786, + "grad_norm": 0.04871438606328049, + "learning_rate": 5.453390520030439e-05, + "loss": 0.9056, + "step": 2225 + }, + { + "epoch": 0.6866027787399454, + "grad_norm": 0.050636785484572754, + "learning_rate": 5.405576477825538e-05, + "loss": 0.8878, + "step": 2230 + }, + { + "epoch": 0.6881422468537121, + "grad_norm": 0.04750867999768763, + "learning_rate": 5.3578952084810765e-05, + "loss": 0.8914, + "step": 2235 + }, + { + "epoch": 0.6896817149674788, + "grad_norm": 0.04779134258739018, + "learning_rate": 5.310348089923681e-05, + "loss": 0.9338, + "step": 2240 + }, + { + "epoch": 0.6912211830812455, + "grad_norm": 0.04979302324195998, + "learning_rate": 5.2629364962032004e-05, + "loss": 0.9119, + "step": 2245 + }, + { + "epoch": 0.6927606511950122, + "grad_norm": 0.05335301731834932, + "learning_rate": 5.2156617974529886e-05, + "loss": 0.914, + "step": 2250 + }, + { + "epoch": 0.6943001193087788, + "grad_norm": 0.05265619261702106, + "learning_rate": 5.1685253598503116e-05, + "loss": 0.9205, + "step": 2255 + }, + { + "epoch": 0.6958395874225455, + "grad_norm": 0.04725682617133063, + "learning_rate": 5.1215285455768794e-05, + "loss": 0.8847, + "step": 2260 + }, + { + "epoch": 0.6973790555363122, + "grad_norm": 0.04942017634222197, + "learning_rate": 5.074672712779456e-05, + "loss": 0.8925, + "step": 2265 + }, + { + "epoch": 0.6989185236500789, + "grad_norm": 0.04927308607421081, + "learning_rate": 5.0279592155306286e-05, + "loss": 0.8891, + "step": 2270 + }, + { + "epoch": 0.7004579917638456, + "grad_norm": 0.04990850824904343, + "learning_rate": 4.9813894037896747e-05, + "loss": 0.893, + "step": 2275 + }, + { + "epoch": 0.7019974598776123, + "grad_norm": 0.048947292463279043, + "learning_rate": 4.93496462336354e-05, + "loss": 0.9209, + "step": 2280 + }, + { + "epoch": 0.703536927991379, + "grad_norm": 0.047946341032061454, + "learning_rate": 4.8886862158679714e-05, + "loss": 0.9199, + "step": 2285 + }, + { + "epoch": 0.7050763961051457, + "grad_norm": 0.049190715621887184, + "learning_rate": 4.8425555186887096e-05, + "loss": 0.9036, + "step": 2290 + }, + { + "epoch": 0.7066158642189123, + "grad_norm": 0.04856052193361857, + "learning_rate": 4.796573864942868e-05, + "loss": 0.9258, + "step": 2295 + }, + { + "epoch": 0.708155332332679, + "grad_norm": 0.0530378049345599, + "learning_rate": 4.750742583440397e-05, + "loss": 0.8822, + "step": 2300 + }, + { + "epoch": 0.7096948004464457, + "grad_norm": 0.048240884761695274, + "learning_rate": 4.7050629986456873e-05, + "loss": 0.8987, + "step": 2305 + }, + { + "epoch": 0.7112342685602124, + "grad_norm": 0.050819290693906345, + "learning_rate": 4.65953643063929e-05, + "loss": 0.9141, + "step": 2310 + }, + { + "epoch": 0.7127737366739791, + "grad_norm": 0.05000033360017204, + "learning_rate": 4.6141641950797645e-05, + "loss": 0.8723, + "step": 2315 + }, + { + "epoch": 0.7143132047877458, + "grad_norm": 0.052399778768556976, + "learning_rate": 4.5689476031656784e-05, + "loss": 0.9292, + "step": 2320 + }, + { + "epoch": 0.7158526729015126, + "grad_norm": 0.0455297122865129, + "learning_rate": 4.523887961597688e-05, + "loss": 0.9161, + "step": 2325 + }, + { + "epoch": 0.7173921410152793, + "grad_norm": 0.049687782977331535, + "learning_rate": 4.4789865725407934e-05, + "loss": 0.9097, + "step": 2330 + }, + { + "epoch": 0.718931609129046, + "grad_norm": 0.048946818451028745, + "learning_rate": 4.434244733586699e-05, + "loss": 0.8835, + "step": 2335 + }, + { + "epoch": 0.7204710772428126, + "grad_norm": 0.04958169600360128, + "learning_rate": 4.389663737716324e-05, + "loss": 0.8982, + "step": 2340 + }, + { + "epoch": 0.7220105453565793, + "grad_norm": 0.046259849431565525, + "learning_rate": 4.3452448732624264e-05, + "loss": 0.8846, + "step": 2345 + }, + { + "epoch": 0.723550013470346, + "grad_norm": 0.052582557198390514, + "learning_rate": 4.3009894238723856e-05, + "loss": 0.885, + "step": 2350 + }, + { + "epoch": 0.7250894815841127, + "grad_norm": 0.05260226314003436, + "learning_rate": 4.256898668471092e-05, + "loss": 0.9124, + "step": 2355 + }, + { + "epoch": 0.7266289496978794, + "grad_norm": 0.049890083882035696, + "learning_rate": 4.212973881223994e-05, + "loss": 0.898, + "step": 2360 + }, + { + "epoch": 0.7281684178116461, + "grad_norm": 0.05306403301581372, + "learning_rate": 4.1692163315002784e-05, + "loss": 0.9059, + "step": 2365 + }, + { + "epoch": 0.7297078859254128, + "grad_norm": 0.048478281578994746, + "learning_rate": 4.125627283836184e-05, + "loss": 0.9035, + "step": 2370 + }, + { + "epoch": 0.7312473540391795, + "grad_norm": 0.049739063696613614, + "learning_rate": 4.082207997898457e-05, + "loss": 0.8676, + "step": 2375 + }, + { + "epoch": 0.7327868221529461, + "grad_norm": 0.049794405765263006, + "learning_rate": 4.0389597284479595e-05, + "loss": 0.8854, + "step": 2380 + }, + { + "epoch": 0.7343262902667128, + "grad_norm": 0.052010748653662224, + "learning_rate": 3.995883725303392e-05, + "loss": 0.904, + "step": 2385 + }, + { + "epoch": 0.7358657583804795, + "grad_norm": 0.05056533072375817, + "learning_rate": 3.952981233305183e-05, + "loss": 0.905, + "step": 2390 + }, + { + "epoch": 0.7374052264942462, + "grad_norm": 0.04981878712032599, + "learning_rate": 3.9102534922795166e-05, + "loss": 0.8988, + "step": 2395 + }, + { + "epoch": 0.7389446946080129, + "grad_norm": 0.049479950724968795, + "learning_rate": 3.867701737002502e-05, + "loss": 0.891, + "step": 2400 + }, + { + "epoch": 0.7404841627217796, + "grad_norm": 0.049303364479271874, + "learning_rate": 3.825327197164483e-05, + "loss": 0.8792, + "step": 2405 + }, + { + "epoch": 0.7420236308355463, + "grad_norm": 0.04976774531974654, + "learning_rate": 3.7831310973345216e-05, + "loss": 0.8929, + "step": 2410 + }, + { + "epoch": 0.743563098949313, + "grad_norm": 0.04848591906961566, + "learning_rate": 3.741114656924983e-05, + "loss": 0.912, + "step": 2415 + }, + { + "epoch": 0.7451025670630798, + "grad_norm": 0.05246275968531801, + "learning_rate": 3.699279090156315e-05, + "loss": 0.9162, + "step": 2420 + }, + { + "epoch": 0.7466420351768464, + "grad_norm": 0.04784683370164075, + "learning_rate": 3.6576256060219486e-05, + "loss": 0.8821, + "step": 2425 + }, + { + "epoch": 0.7481815032906131, + "grad_norm": 0.046538610019559695, + "learning_rate": 3.616155408253367e-05, + "loss": 0.8899, + "step": 2430 + }, + { + "epoch": 0.7497209714043798, + "grad_norm": 0.04653797000431008, + "learning_rate": 3.574869695285315e-05, + "loss": 0.8906, + "step": 2435 + }, + { + "epoch": 0.7512604395181465, + "grad_norm": 0.04854417696784218, + "learning_rate": 3.5337696602211614e-05, + "loss": 0.8736, + "step": 2440 + }, + { + "epoch": 0.7527999076319132, + "grad_norm": 0.051959288038197514, + "learning_rate": 3.492856490798439e-05, + "loss": 0.9068, + "step": 2445 + }, + { + "epoch": 0.7543393757456799, + "grad_norm": 0.05055945751383996, + "learning_rate": 3.4521313693544966e-05, + "loss": 0.9248, + "step": 2450 + }, + { + "epoch": 0.7558788438594466, + "grad_norm": 0.04850985539708475, + "learning_rate": 3.4115954727923395e-05, + "loss": 0.9046, + "step": 2455 + }, + { + "epoch": 0.7574183119732133, + "grad_norm": 0.048636140509240505, + "learning_rate": 3.371249972546624e-05, + "loss": 0.8935, + "step": 2460 + }, + { + "epoch": 0.7589577800869799, + "grad_norm": 0.04693875087419482, + "learning_rate": 3.3310960345497974e-05, + "loss": 0.9293, + "step": 2465 + }, + { + "epoch": 0.7604972482007466, + "grad_norm": 0.05068418571049861, + "learning_rate": 3.291134819198417e-05, + "loss": 0.9066, + "step": 2470 + }, + { + "epoch": 0.7620367163145133, + "grad_norm": 0.049732111001641315, + "learning_rate": 3.251367481319596e-05, + "loss": 0.9084, + "step": 2475 + }, + { + "epoch": 0.76357618442828, + "grad_norm": 0.04877480542908784, + "learning_rate": 3.2117951701376436e-05, + "loss": 0.885, + "step": 2480 + }, + { + "epoch": 0.7651156525420467, + "grad_norm": 0.050155447150674604, + "learning_rate": 3.172419029240853e-05, + "loss": 0.9149, + "step": 2485 + }, + { + "epoch": 0.7666551206558134, + "grad_norm": 0.05030249813110325, + "learning_rate": 3.133240196548447e-05, + "loss": 0.9008, + "step": 2490 + }, + { + "epoch": 0.7681945887695801, + "grad_norm": 0.049906298979659446, + "learning_rate": 3.0942598042777073e-05, + "loss": 0.9373, + "step": 2495 + }, + { + "epoch": 0.7697340568833468, + "grad_norm": 0.05100248290333388, + "learning_rate": 3.0554789789112385e-05, + "loss": 0.869, + "step": 2500 + }, + { + "epoch": 0.7712735249971135, + "grad_norm": 0.05192202385416962, + "learning_rate": 3.0168988411644205e-05, + "loss": 0.8893, + "step": 2505 + }, + { + "epoch": 0.7728129931108801, + "grad_norm": 0.04953362668159417, + "learning_rate": 2.9785205059530263e-05, + "loss": 0.9051, + "step": 2510 + }, + { + "epoch": 0.7743524612246468, + "grad_norm": 0.04996622536563532, + "learning_rate": 2.940345082360997e-05, + "loss": 0.8986, + "step": 2515 + }, + { + "epoch": 0.7758919293384136, + "grad_norm": 0.04836884568396388, + "learning_rate": 2.9023736736083872e-05, + "loss": 0.922, + "step": 2520 + }, + { + "epoch": 0.7774313974521803, + "grad_norm": 0.050672635000901835, + "learning_rate": 2.864607377019498e-05, + "loss": 0.91, + "step": 2525 + }, + { + "epoch": 0.778970865565947, + "grad_norm": 0.05373116940028323, + "learning_rate": 2.82704728399115e-05, + "loss": 0.9027, + "step": 2530 + }, + { + "epoch": 0.7805103336797137, + "grad_norm": 0.05002900156096495, + "learning_rate": 2.789694479961147e-05, + "loss": 0.8951, + "step": 2535 + }, + { + "epoch": 0.7820498017934804, + "grad_norm": 0.051641225857498176, + "learning_rate": 2.7525500443769136e-05, + "loss": 0.9025, + "step": 2540 + }, + { + "epoch": 0.7835892699072471, + "grad_norm": 0.051090919816045334, + "learning_rate": 2.715615050664294e-05, + "loss": 0.9014, + "step": 2545 + }, + { + "epoch": 0.7851287380210138, + "grad_norm": 0.04911341784983559, + "learning_rate": 2.6788905661965458e-05, + "loss": 0.8971, + "step": 2550 + }, + { + "epoch": 0.7866682061347804, + "grad_norm": 0.049758629868399795, + "learning_rate": 2.64237765226347e-05, + "loss": 0.8912, + "step": 2555 + }, + { + "epoch": 0.7882076742485471, + "grad_norm": 0.05110036066107192, + "learning_rate": 2.606077364040762e-05, + "loss": 0.891, + "step": 2560 + }, + { + "epoch": 0.7897471423623138, + "grad_norm": 0.04918620440845424, + "learning_rate": 2.5699907505595068e-05, + "loss": 0.853, + "step": 2565 + }, + { + "epoch": 0.7912866104760805, + "grad_norm": 0.04974068641972544, + "learning_rate": 2.5341188546758688e-05, + "loss": 0.8757, + "step": 2570 + }, + { + "epoch": 0.7928260785898472, + "grad_norm": 0.0517642543172432, + "learning_rate": 2.4984627130409577e-05, + "loss": 0.8944, + "step": 2575 + }, + { + "epoch": 0.7943655467036139, + "grad_norm": 0.051194030170498506, + "learning_rate": 2.4630233560708615e-05, + "loss": 0.8778, + "step": 2580 + }, + { + "epoch": 0.7959050148173806, + "grad_norm": 0.048819792222408974, + "learning_rate": 2.427801807916874e-05, + "loss": 0.905, + "step": 2585 + }, + { + "epoch": 0.7974444829311473, + "grad_norm": 0.05285747034364325, + "learning_rate": 2.3927990864358984e-05, + "loss": 0.8932, + "step": 2590 + }, + { + "epoch": 0.7989839510449139, + "grad_norm": 0.05177880418117189, + "learning_rate": 2.358016203161031e-05, + "loss": 0.9105, + "step": 2595 + }, + { + "epoch": 0.8005234191586806, + "grad_norm": 0.050125842765204626, + "learning_rate": 2.3234541632723272e-05, + "loss": 0.8956, + "step": 2600 + }, + { + "epoch": 0.8020628872724473, + "grad_norm": 0.05005110838381569, + "learning_rate": 2.2891139655677673e-05, + "loss": 0.9097, + "step": 2605 + }, + { + "epoch": 0.803602355386214, + "grad_norm": 0.04996589310236205, + "learning_rate": 2.2549966024343682e-05, + "loss": 0.8967, + "step": 2610 + }, + { + "epoch": 0.8051418234999808, + "grad_norm": 0.05164799583829708, + "learning_rate": 2.2211030598195247e-05, + "loss": 0.9096, + "step": 2615 + }, + { + "epoch": 0.8066812916137475, + "grad_norm": 0.04921635852838881, + "learning_rate": 2.187434317202508e-05, + "loss": 0.8928, + "step": 2620 + }, + { + "epoch": 0.8082207597275142, + "grad_norm": 0.05100977521284688, + "learning_rate": 2.1539913475661576e-05, + "loss": 0.8868, + "step": 2625 + }, + { + "epoch": 0.8097602278412809, + "grad_norm": 0.052267814845576244, + "learning_rate": 2.1207751173687785e-05, + "loss": 0.9449, + "step": 2630 + }, + { + "epoch": 0.8112996959550476, + "grad_norm": 0.055390619856773446, + "learning_rate": 2.0877865865161915e-05, + "loss": 0.896, + "step": 2635 + }, + { + "epoch": 0.8128391640688142, + "grad_norm": 0.0542325705617693, + "learning_rate": 2.0550267083340068e-05, + "loss": 0.8914, + "step": 2640 + }, + { + "epoch": 0.8143786321825809, + "grad_norm": 0.055418743810201794, + "learning_rate": 2.0224964295400682e-05, + "loss": 0.8848, + "step": 2645 + }, + { + "epoch": 0.8159181002963476, + "grad_norm": 0.05089971022933999, + "learning_rate": 1.9901966902170944e-05, + "loss": 0.8805, + "step": 2650 + }, + { + "epoch": 0.8174575684101143, + "grad_norm": 0.050847263932470396, + "learning_rate": 1.95812842378552e-05, + "loss": 0.8937, + "step": 2655 + }, + { + "epoch": 0.818997036523881, + "grad_norm": 0.05157053531068126, + "learning_rate": 1.9262925569765087e-05, + "loss": 0.9221, + "step": 2660 + }, + { + "epoch": 0.8205365046376477, + "grad_norm": 0.0499397348100615, + "learning_rate": 1.8946900098051778e-05, + "loss": 0.9412, + "step": 2665 + }, + { + "epoch": 0.8220759727514144, + "grad_norm": 0.05111992135361657, + "learning_rate": 1.8633216955440137e-05, + "loss": 0.9242, + "step": 2670 + }, + { + "epoch": 0.8236154408651811, + "grad_norm": 0.05339912401311365, + "learning_rate": 1.832188520696472e-05, + "loss": 0.9097, + "step": 2675 + }, + { + "epoch": 0.8251549089789477, + "grad_norm": 0.051772005101857047, + "learning_rate": 1.8012913849707868e-05, + "loss": 0.8916, + "step": 2680 + }, + { + "epoch": 0.8266943770927144, + "grad_norm": 0.050106594186993446, + "learning_rate": 1.7706311812539757e-05, + "loss": 0.893, + "step": 2685 + }, + { + "epoch": 0.8282338452064811, + "grad_norm": 0.047870354702240756, + "learning_rate": 1.7402087955860193e-05, + "loss": 0.9003, + "step": 2690 + }, + { + "epoch": 0.8297733133202478, + "grad_norm": 0.05082697115153644, + "learning_rate": 1.710025107134272e-05, + "loss": 0.8903, + "step": 2695 + }, + { + "epoch": 0.8313127814340145, + "grad_norm": 0.07972819984168905, + "learning_rate": 1.680080988168049e-05, + "loss": 0.8958, + "step": 2700 + }, + { + "epoch": 0.8328522495477813, + "grad_norm": 0.04588401947701594, + "learning_rate": 1.6503773040334126e-05, + "loss": 0.8714, + "step": 2705 + }, + { + "epoch": 0.834391717661548, + "grad_norm": 0.05193910001685307, + "learning_rate": 1.620914913128184e-05, + "loss": 0.9155, + "step": 2710 + }, + { + "epoch": 0.8359311857753147, + "grad_norm": 0.04988441946676993, + "learning_rate": 1.591694666877114e-05, + "loss": 0.8812, + "step": 2715 + }, + { + "epoch": 0.8374706538890814, + "grad_norm": 0.05238058487707531, + "learning_rate": 1.5627174097072904e-05, + "loss": 0.8731, + "step": 2720 + }, + { + "epoch": 0.839010122002848, + "grad_norm": 0.05198017123832165, + "learning_rate": 1.533983979023733e-05, + "loss": 0.9285, + "step": 2725 + }, + { + "epoch": 0.8405495901166147, + "grad_norm": 0.050178169987826704, + "learning_rate": 1.5054952051851934e-05, + "loss": 0.8987, + "step": 2730 + }, + { + "epoch": 0.8420890582303814, + "grad_norm": 0.048234332694294745, + "learning_rate": 1.477251911480162e-05, + "loss": 0.9023, + "step": 2735 + }, + { + "epoch": 0.8436285263441481, + "grad_norm": 0.05161636752265006, + "learning_rate": 1.4492549141030687e-05, + "loss": 0.9216, + "step": 2740 + }, + { + "epoch": 0.8451679944579148, + "grad_norm": 0.05376436585199748, + "learning_rate": 1.4215050221307002e-05, + "loss": 0.8949, + "step": 2745 + }, + { + "epoch": 0.8467074625716815, + "grad_norm": 0.049090105672334974, + "learning_rate": 1.394003037498821e-05, + "loss": 0.8991, + "step": 2750 + }, + { + "epoch": 0.8482469306854482, + "grad_norm": 0.04938979818296241, + "learning_rate": 1.3667497549789932e-05, + "loss": 0.8902, + "step": 2755 + }, + { + "epoch": 0.8497863987992149, + "grad_norm": 0.05110926192690603, + "learning_rate": 1.339745962155613e-05, + "loss": 0.905, + "step": 2760 + }, + { + "epoch": 0.8513258669129815, + "grad_norm": 0.052370426487849654, + "learning_rate": 1.3129924394031535e-05, + "loss": 0.8813, + "step": 2765 + }, + { + "epoch": 0.8528653350267482, + "grad_norm": 0.05580153374668592, + "learning_rate": 1.2864899598636004e-05, + "loss": 0.8941, + "step": 2770 + }, + { + "epoch": 0.8544048031405149, + "grad_norm": 0.04874411693031306, + "learning_rate": 1.2602392894241222e-05, + "loss": 0.909, + "step": 2775 + }, + { + "epoch": 0.8559442712542816, + "grad_norm": 0.051902977581340555, + "learning_rate": 1.234241186694931e-05, + "loss": 0.8861, + "step": 2780 + }, + { + "epoch": 0.8574837393680483, + "grad_norm": 0.046190369417241875, + "learning_rate": 1.208496402987358e-05, + "loss": 0.901, + "step": 2785 + }, + { + "epoch": 0.859023207481815, + "grad_norm": 0.049371890786887626, + "learning_rate": 1.1830056822921521e-05, + "loss": 0.8802, + "step": 2790 + }, + { + "epoch": 0.8605626755955817, + "grad_norm": 0.05247959814051246, + "learning_rate": 1.1577697612579641e-05, + "loss": 0.9007, + "step": 2795 + }, + { + "epoch": 0.8621021437093485, + "grad_norm": 0.048667585045453814, + "learning_rate": 1.1327893691700698e-05, + "loss": 0.8676, + "step": 2800 + }, + { + "epoch": 0.8636416118231152, + "grad_norm": 0.050643478515145925, + "learning_rate": 1.1080652279292891e-05, + "loss": 0.8941, + "step": 2805 + }, + { + "epoch": 0.8651810799368818, + "grad_norm": 0.0540254490096542, + "learning_rate": 1.0835980520311251e-05, + "loss": 0.8912, + "step": 2810 + }, + { + "epoch": 0.8667205480506485, + "grad_norm": 0.04782094798408078, + "learning_rate": 1.0593885485451237e-05, + "loss": 0.8907, + "step": 2815 + }, + { + "epoch": 0.8682600161644152, + "grad_norm": 0.053906572458732704, + "learning_rate": 1.0354374170944258e-05, + "loss": 0.9131, + "step": 2820 + }, + { + "epoch": 0.8697994842781819, + "grad_norm": 0.05055406257947271, + "learning_rate": 1.011745349835559e-05, + "loss": 0.8901, + "step": 2825 + }, + { + "epoch": 0.8713389523919486, + "grad_norm": 0.04921638188981594, + "learning_rate": 9.883130314384348e-06, + "loss": 0.8986, + "step": 2830 + }, + { + "epoch": 0.8728784205057153, + "grad_norm": 0.04989204793182651, + "learning_rate": 9.651411390665577e-06, + "loss": 0.8741, + "step": 2835 + }, + { + "epoch": 0.874417888619482, + "grad_norm": 0.048798752921894346, + "learning_rate": 9.422303423574596e-06, + "loss": 0.8919, + "step": 2840 + }, + { + "epoch": 0.8759573567332487, + "grad_norm": 0.05284836395696706, + "learning_rate": 9.195813034033508e-06, + "loss": 0.8926, + "step": 2845 + }, + { + "epoch": 0.8774968248470154, + "grad_norm": 0.05168276964659464, + "learning_rate": 8.971946767319805e-06, + "loss": 0.8794, + "step": 2850 + }, + { + "epoch": 0.879036292960782, + "grad_norm": 0.05122404064787664, + "learning_rate": 8.75071109287724e-06, + "loss": 0.8831, + "step": 2855 + }, + { + "epoch": 0.8805757610745487, + "grad_norm": 0.04747450340823261, + "learning_rate": 8.532112404128877e-06, + "loss": 0.8855, + "step": 2860 + }, + { + "epoch": 0.8821152291883154, + "grad_norm": 0.04813099729864012, + "learning_rate": 8.316157018292326e-06, + "loss": 0.9194, + "step": 2865 + }, + { + "epoch": 0.8836546973020821, + "grad_norm": 0.046778198065101924, + "learning_rate": 8.102851176197201e-06, + "loss": 0.8914, + "step": 2870 + }, + { + "epoch": 0.8851941654158488, + "grad_norm": 0.0505389117652261, + "learning_rate": 7.892201042104718e-06, + "loss": 0.9076, + "step": 2875 + }, + { + "epoch": 0.8867336335296155, + "grad_norm": 0.05155069773693662, + "learning_rate": 7.684212703529624e-06, + "loss": 0.9105, + "step": 2880 + }, + { + "epoch": 0.8882731016433822, + "grad_norm": 0.047673629117401105, + "learning_rate": 7.4788921710642e-06, + "loss": 0.8957, + "step": 2885 + }, + { + "epoch": 0.889812569757149, + "grad_norm": 0.05265601437978253, + "learning_rate": 7.276245378204616e-06, + "loss": 0.9044, + "step": 2890 + }, + { + "epoch": 0.8913520378709155, + "grad_norm": 0.05163264368672346, + "learning_rate": 7.076278181179485e-06, + "loss": 0.9073, + "step": 2895 + }, + { + "epoch": 0.8928915059846823, + "grad_norm": 0.05024106977313982, + "learning_rate": 6.878996358780532e-06, + "loss": 0.9091, + "step": 2900 + }, + { + "epoch": 0.894430974098449, + "grad_norm": 0.04810053039047795, + "learning_rate": 6.684405612195688e-06, + "loss": 0.8896, + "step": 2905 + }, + { + "epoch": 0.8959704422122157, + "grad_norm": 0.04830929316220151, + "learning_rate": 6.492511564844273e-06, + "loss": 0.8761, + "step": 2910 + }, + { + "epoch": 0.8975099103259824, + "grad_norm": 0.05050911259620937, + "learning_rate": 6.303319762214499e-06, + "loss": 0.9073, + "step": 2915 + }, + { + "epoch": 0.8990493784397491, + "grad_norm": 0.05061057110700013, + "learning_rate": 6.11683567170328e-06, + "loss": 0.9201, + "step": 2920 + }, + { + "epoch": 0.9005888465535158, + "grad_norm": 0.05195265187043874, + "learning_rate": 5.933064682458122e-06, + "loss": 0.8862, + "step": 2925 + }, + { + "epoch": 0.9021283146672825, + "grad_norm": 0.05146600570379482, + "learning_rate": 5.7520121052214275e-06, + "loss": 0.8822, + "step": 2930 + }, + { + "epoch": 0.9036677827810492, + "grad_norm": 0.05230001510322826, + "learning_rate": 5.57368317217708e-06, + "loss": 0.9265, + "step": 2935 + }, + { + "epoch": 0.9052072508948158, + "grad_norm": 0.051934624209648686, + "learning_rate": 5.398083036799129e-06, + "loss": 0.8534, + "step": 2940 + }, + { + "epoch": 0.9067467190085825, + "grad_norm": 0.05044527476112878, + "learning_rate": 5.225216773702968e-06, + "loss": 0.9018, + "step": 2945 + }, + { + "epoch": 0.9082861871223492, + "grad_norm": 0.05201869092317567, + "learning_rate": 5.055089378498634e-06, + "loss": 0.8926, + "step": 2950 + }, + { + "epoch": 0.9098256552361159, + "grad_norm": 0.0475536468466368, + "learning_rate": 4.887705767646434e-06, + "loss": 0.8786, + "step": 2955 + }, + { + "epoch": 0.9113651233498826, + "grad_norm": 0.05211001458842346, + "learning_rate": 4.7230707783148864e-06, + "loss": 0.885, + "step": 2960 + }, + { + "epoch": 0.9129045914636493, + "grad_norm": 0.05131430855578592, + "learning_rate": 4.561189168240909e-06, + "loss": 0.9396, + "step": 2965 + }, + { + "epoch": 0.914444059577416, + "grad_norm": 0.04842782742971858, + "learning_rate": 4.402065615592344e-06, + "loss": 0.878, + "step": 2970 + }, + { + "epoch": 0.9159835276911827, + "grad_norm": 0.048784500669142396, + "learning_rate": 4.245704718832811e-06, + "loss": 0.9005, + "step": 2975 + }, + { + "epoch": 0.9175229958049493, + "grad_norm": 0.045989168578578606, + "learning_rate": 4.092110996588705e-06, + "loss": 0.9104, + "step": 2980 + }, + { + "epoch": 0.919062463918716, + "grad_norm": 0.04785800998672356, + "learning_rate": 3.941288887518713e-06, + "loss": 0.8858, + "step": 2985 + }, + { + "epoch": 0.9206019320324828, + "grad_norm": 0.05196609915745631, + "learning_rate": 3.7932427501854996e-06, + "loss": 0.9067, + "step": 2990 + }, + { + "epoch": 0.9221414001462495, + "grad_norm": 0.05048397127412001, + "learning_rate": 3.647976862929747e-06, + "loss": 0.9276, + "step": 2995 + }, + { + "epoch": 0.9236808682600162, + "grad_norm": 0.04746994677124347, + "learning_rate": 3.505495423746574e-06, + "loss": 0.905, + "step": 3000 + }, + { + "epoch": 0.9252203363737829, + "grad_norm": 0.04623520678007943, + "learning_rate": 3.3658025501641323e-06, + "loss": 0.924, + "step": 3005 + }, + { + "epoch": 0.9267598044875496, + "grad_norm": 0.05915242583831865, + "learning_rate": 3.228902279124657e-06, + "loss": 0.9013, + "step": 3010 + }, + { + "epoch": 0.9282992726013163, + "grad_norm": 0.05314450197725433, + "learning_rate": 3.094798566867818e-06, + "loss": 0.8891, + "step": 3015 + }, + { + "epoch": 0.929838740715083, + "grad_norm": 0.04994737623939914, + "learning_rate": 2.963495288816376e-06, + "loss": 0.9393, + "step": 3020 + }, + { + "epoch": 0.9313782088288496, + "grad_norm": 0.05558242936423758, + "learning_rate": 2.8349962394641605e-06, + "loss": 0.9367, + "step": 3025 + }, + { + "epoch": 0.9329176769426163, + "grad_norm": 0.051634691252208646, + "learning_rate": 2.709305132266493e-06, + "loss": 0.9261, + "step": 3030 + }, + { + "epoch": 0.934457145056383, + "grad_norm": 0.04954189779873653, + "learning_rate": 2.5864255995327936e-06, + "loss": 0.898, + "step": 3035 + }, + { + "epoch": 0.9359966131701497, + "grad_norm": 0.050217713689466745, + "learning_rate": 2.46636119232162e-06, + "loss": 0.9051, + "step": 3040 + }, + { + "epoch": 0.9375360812839164, + "grad_norm": 0.048010003704034514, + "learning_rate": 2.349115380338096e-06, + "loss": 0.9227, + "step": 3045 + }, + { + "epoch": 0.9390755493976831, + "grad_norm": 0.050171020409517944, + "learning_rate": 2.2346915518335786e-06, + "loss": 0.8574, + "step": 3050 + }, + { + "epoch": 0.9406150175114498, + "grad_norm": 0.04899312509832363, + "learning_rate": 2.1230930135078373e-06, + "loss": 0.8851, + "step": 3055 + }, + { + "epoch": 0.9421544856252165, + "grad_norm": 0.049198496749408474, + "learning_rate": 2.014322990413353e-06, + "loss": 0.9028, + "step": 3060 + }, + { + "epoch": 0.9436939537389831, + "grad_norm": 0.04937831083792284, + "learning_rate": 1.9083846258622586e-06, + "loss": 0.8901, + "step": 3065 + }, + { + "epoch": 0.9452334218527498, + "grad_norm": 0.05060015921827992, + "learning_rate": 1.8052809813354111e-06, + "loss": 0.8851, + "step": 3070 + }, + { + "epoch": 0.9467728899665165, + "grad_norm": 0.051074988313885475, + "learning_rate": 1.705015036393931e-06, + "loss": 0.9242, + "step": 3075 + }, + { + "epoch": 0.9483123580802832, + "grad_norm": 0.051491649099328136, + "learning_rate": 1.6075896885931807e-06, + "loss": 0.8978, + "step": 3080 + }, + { + "epoch": 0.94985182619405, + "grad_norm": 0.05031617030138609, + "learning_rate": 1.5130077533988873e-06, + "loss": 0.9118, + "step": 3085 + }, + { + "epoch": 0.9513912943078167, + "grad_norm": 0.05073702344732129, + "learning_rate": 1.421271964105908e-06, + "loss": 0.9345, + "step": 3090 + }, + { + "epoch": 0.9529307624215834, + "grad_norm": 0.05394201570580873, + "learning_rate": 1.3323849717591376e-06, + "loss": 0.8932, + "step": 3095 + }, + { + "epoch": 0.9544702305353501, + "grad_norm": 0.05288876825736752, + "learning_rate": 1.2463493450769915e-06, + "loss": 0.9176, + "step": 3100 + }, + { + "epoch": 0.9560096986491168, + "grad_norm": 0.052706852259209895, + "learning_rate": 1.1631675703771105e-06, + "loss": 0.9136, + "step": 3105 + }, + { + "epoch": 0.9575491667628834, + "grad_norm": 0.050101686356315255, + "learning_rate": 1.0828420515045178e-06, + "loss": 0.8997, + "step": 3110 + }, + { + "epoch": 0.9590886348766501, + "grad_norm": 0.046158354718340906, + "learning_rate": 1.0053751097621856e-06, + "loss": 0.8741, + "step": 3115 + }, + { + "epoch": 0.9606281029904168, + "grad_norm": 0.04793073226919364, + "learning_rate": 9.307689838439104e-07, + "loss": 0.9213, + "step": 3120 + }, + { + "epoch": 0.9621675711041835, + "grad_norm": 0.0480250612155145, + "learning_rate": 8.590258297696108e-07, + "loss": 0.8592, + "step": 3125 + }, + { + "epoch": 0.9637070392179502, + "grad_norm": 0.05079308974694697, + "learning_rate": 7.901477208230979e-07, + "loss": 0.8949, + "step": 3130 + }, + { + "epoch": 0.9652465073317169, + "grad_norm": 0.049530271547413275, + "learning_rate": 7.241366474920797e-07, + "loss": 0.8813, + "step": 3135 + }, + { + "epoch": 0.9667859754454836, + "grad_norm": 0.04804929713391988, + "learning_rate": 6.609945174106402e-07, + "loss": 0.9129, + "step": 3140 + }, + { + "epoch": 0.9683254435592503, + "grad_norm": 0.051257812589911356, + "learning_rate": 6.007231553041837e-07, + "loss": 0.8839, + "step": 3145 + }, + { + "epoch": 0.969864911673017, + "grad_norm": 0.04955517862562011, + "learning_rate": 5.43324302936643e-07, + "loss": 0.9571, + "step": 3150 + }, + { + "epoch": 0.9714043797867836, + "grad_norm": 0.0491228255053995, + "learning_rate": 4.887996190601318e-07, + "loss": 0.9139, + "step": 3155 + }, + { + "epoch": 0.9729438479005503, + "grad_norm": 0.050192881863201706, + "learning_rate": 4.3715067936705987e-07, + "loss": 0.8927, + "step": 3160 + }, + { + "epoch": 0.974483316014317, + "grad_norm": 0.050063559948920915, + "learning_rate": 3.8837897644457e-07, + "loss": 0.9188, + "step": 3165 + }, + { + "epoch": 0.9760227841280837, + "grad_norm": 0.047101809428331816, + "learning_rate": 3.4248591973140566e-07, + "loss": 0.9134, + "step": 3170 + }, + { + "epoch": 0.9775622522418504, + "grad_norm": 0.05350592485136906, + "learning_rate": 2.994728354771659e-07, + "loss": 0.9353, + "step": 3175 + }, + { + "epoch": 0.9791017203556172, + "grad_norm": 0.04855844715305267, + "learning_rate": 2.593409667040247e-07, + "loss": 0.8648, + "step": 3180 + }, + { + "epoch": 0.9806411884693839, + "grad_norm": 0.048812751788986294, + "learning_rate": 2.2209147317074908e-07, + "loss": 0.8787, + "step": 3185 + }, + { + "epoch": 0.9821806565831506, + "grad_norm": 0.051356351052386, + "learning_rate": 1.8772543133922515e-07, + "loss": 0.9042, + "step": 3190 + }, + { + "epoch": 0.9837201246969172, + "grad_norm": 0.047884395981010776, + "learning_rate": 1.5624383434333923e-07, + "loss": 0.8822, + "step": 3195 + }, + { + "epoch": 0.9852595928106839, + "grad_norm": 0.05094435499033899, + "learning_rate": 1.276475919602671e-07, + "loss": 0.8962, + "step": 3200 + }, + { + "epoch": 0.9867990609244506, + "grad_norm": 0.05551428987367575, + "learning_rate": 1.019375305842063e-07, + "loss": 0.887, + "step": 3205 + }, + { + "epoch": 0.9883385290382173, + "grad_norm": 0.04546637336940152, + "learning_rate": 7.911439320247294e-08, + "loss": 0.888, + "step": 3210 + }, + { + "epoch": 0.989877997151984, + "grad_norm": 0.051725181634757214, + "learning_rate": 5.9178839374018914e-08, + "loss": 0.9079, + "step": 3215 + }, + { + "epoch": 0.9914174652657507, + "grad_norm": 0.054748326673771164, + "learning_rate": 4.213144521042489e-08, + "loss": 0.9068, + "step": 3220 + }, + { + "epoch": 0.9929569333795174, + "grad_norm": 0.05377608385855954, + "learning_rate": 2.797270335916924e-08, + "loss": 0.8806, + "step": 3225 + }, + { + "epoch": 0.9944964014932841, + "grad_norm": 0.04798606701698547, + "learning_rate": 1.6703022989494887e-08, + "loss": 0.9099, + "step": 3230 + }, + { + "epoch": 0.9960358696070508, + "grad_norm": 0.0472421438494704, + "learning_rate": 8.322729780474436e-09, + "loss": 0.8932, + "step": 3235 + }, + { + "epoch": 0.9975753377208174, + "grad_norm": 0.048793466284065876, + "learning_rate": 2.8320659116953806e-09, + "loss": 0.8917, + "step": 3240 + }, + { + "epoch": 0.9991148058345841, + "grad_norm": 0.05220366875224664, + "learning_rate": 2.311900561768887e-10, + "loss": 0.8864, + "step": 3245 + }, + { + "epoch": 0.9997305930800908, + "eval_loss": 0.8975253105163574, + "eval_runtime": 1716.3616, + "eval_samples_per_second": 5.826, + "eval_steps_per_second": 0.364, + "step": 3247 + }, + { + "epoch": 0.9997305930800908, + "step": 3247, + "total_flos": 5.273312589722419e+16, + "train_loss": 0.9348164240617108, + "train_runtime": 152106.1857, + "train_samples_per_second": 1.367, + "train_steps_per_second": 0.021 + } + ], + "logging_steps": 5, + "max_steps": 3247, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 100, + "total_flos": 5.273312589722419e+16, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}