{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.769124264451367, "global_step": 6000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 3.8461538461538456e-05, "loss": 3.0784, "step": 25 }, { "epoch": 0.02, "learning_rate": 7.692307692307691e-05, "loss": 2.3977, "step": 50 }, { "epoch": 0.03, "learning_rate": 0.00011538461538461538, "loss": 1.443, "step": 75 }, { "epoch": 0.05, "learning_rate": 0.00015384615384615382, "loss": 0.8912, "step": 100 }, { "epoch": 0.06, "learning_rate": 0.0001923076923076923, "loss": 1.1574, "step": 125 }, { "epoch": 0.07, "learning_rate": 0.00023076923076923076, "loss": 0.8311, "step": 150 }, { "epoch": 0.08, "learning_rate": 0.0002692307692307692, "loss": 1.1308, "step": 175 }, { "epoch": 0.09, "learning_rate": 0.0002999995341928201, "loss": 0.7901, "step": 200 }, { "epoch": 0.1, "learning_rate": 0.0002999832312452881, "loss": 1.1048, "step": 225 }, { "epoch": 0.12, "learning_rate": 0.0002999436408316976, "loss": 0.7632, "step": 250 }, { "epoch": 0.13, "learning_rate": 0.0002998807690991386, "loss": 1.1239, "step": 275 }, { "epoch": 0.14, "learning_rate": 0.00029979462580952446, "loss": 0.7622, "step": 300 }, { "epoch": 0.15, "learning_rate": 0.00029968522433807687, "loss": 1.105, "step": 325 }, { "epoch": 0.16, "learning_rate": 0.00029955258167124835, "loss": 0.7669, "step": 350 }, { "epoch": 0.17, "learning_rate": 0.0002993967184040853, "loss": 1.0854, "step": 375 }, { "epoch": 0.18, "learning_rate": 0.00029921765873703004, "loss": 0.7586, "step": 400 }, { "epoch": 0.2, "learning_rate": 0.0002990154304721634, "loss": 1.0849, "step": 425 }, { "epoch": 0.21, "learning_rate": 0.000298790065008888, "loss": 0.7403, "step": 450 }, { "epoch": 0.22, "learning_rate": 0.0002985415973390528, "loss": 1.0786, "step": 475 }, { "epoch": 0.23, "learning_rate": 0.00029827006604152, "loss": 0.7676, "step": 500 }, { "epoch": 0.24, "learning_rate": 0.00029797551327617543, "loss": 1.087, "step": 525 }, { "epoch": 0.25, "learning_rate": 0.0002976579847773818, "loss": 0.7685, "step": 550 }, { "epoch": 0.27, "learning_rate": 0.00029731752984687835, "loss": 1.072, "step": 575 }, { "epoch": 0.28, "learning_rate": 0.0002969542013461254, "loss": 0.7611, "step": 600 }, { "epoch": 0.29, "learning_rate": 0.000296568055688097, "loss": 1.0691, "step": 625 }, { "epoch": 0.3, "learning_rate": 0.00029615915282852175, "loss": 0.7512, "step": 650 }, { "epoch": 0.31, "learning_rate": 0.00029572755625657365, "loss": 1.0789, "step": 675 }, { "epoch": 0.32, "learning_rate": 0.00029527333298501427, "loss": 0.739, "step": 700 }, { "epoch": 0.33, "learning_rate": 0.0002947965535397879, "loss": 1.0944, "step": 725 }, { "epoch": 0.35, "learning_rate": 0.0002942972919490714, "loss": 0.7681, "step": 750 }, { "epoch": 0.36, "learning_rate": 0.0002937756257317797, "loss": 1.0773, "step": 775 }, { "epoch": 0.37, "learning_rate": 0.00029323163588552975, "loss": 0.7541, "step": 800 }, { "epoch": 0.38, "learning_rate": 0.0002926654068740645, "loss": 1.0885, "step": 825 }, { "epoch": 0.39, "learning_rate": 0.0002920770266141382, "loss": 0.7505, "step": 850 }, { "epoch": 0.4, "learning_rate": 0.000291466586461866, "loss": 1.0623, "step": 875 }, { "epoch": 0.42, "learning_rate": 0.00029083418119853904, "loss": 0.7429, "step": 900 }, { "epoch": 0.43, "learning_rate": 0.0002901799090159085, "loss": 1.0523, "step": 925 }, { "epoch": 0.44, "learning_rate": 0.00028950387150093916, "loss": 0.7258, "step": 950 }, { "epoch": 0.45, "learning_rate": 0.0002888061736200367, "loss": 1.0618, "step": 975 }, { "epoch": 0.46, "learning_rate": 0.0002880869237027496, "loss": 0.739, "step": 1000 }, { "epoch": 0.47, "learning_rate": 0.0002873462334249492, "loss": 1.063, "step": 1025 }, { "epoch": 0.48, "learning_rate": 0.00028658421779149, "loss": 0.7298, "step": 1050 }, { "epoch": 0.5, "learning_rate": 0.0002858009951183536, "loss": 1.0526, "step": 1075 }, { "epoch": 0.51, "learning_rate": 0.0002849966870142775, "loss": 0.7322, "step": 1100 }, { "epoch": 0.52, "learning_rate": 0.00028417141836187374, "loss": 1.0509, "step": 1125 }, { "epoch": 0.53, "learning_rate": 0.0002833253172982385, "loss": 0.7245, "step": 1150 }, { "epoch": 0.54, "learning_rate": 0.0002824585151950568, "loss": 1.0746, "step": 1175 }, { "epoch": 0.55, "learning_rate": 0.00028157114663820445, "loss": 0.7327, "step": 1200 }, { "epoch": 0.57, "learning_rate": 0.0002806633494068519, "loss": 1.0685, "step": 1225 }, { "epoch": 0.58, "learning_rate": 0.00027973526445207084, "loss": 0.7457, "step": 1250 }, { "epoch": 0.59, "learning_rate": 0.00027878703587495, "loss": 1.0731, "step": 1275 }, { "epoch": 0.6, "learning_rate": 0.00027781881090422017, "loss": 0.728, "step": 1300 }, { "epoch": 0.61, "learning_rate": 0.00027683073987339523, "loss": 1.0638, "step": 1325 }, { "epoch": 0.62, "learning_rate": 0.0002758229761974294, "loss": 0.734, "step": 1350 }, { "epoch": 0.63, "learning_rate": 0.0002747956763488979, "loss": 1.0548, "step": 1375 }, { "epoch": 0.65, "learning_rate": 0.0002737489998337011, "loss": 0.7357, "step": 1400 }, { "epoch": 0.66, "learning_rate": 0.00027268310916629885, "loss": 1.0528, "step": 1425 }, { "epoch": 0.67, "learning_rate": 0.0002715981698444775, "loss": 0.7227, "step": 1450 }, { "epoch": 0.68, "learning_rate": 0.0002704943503236531, "loss": 1.0546, "step": 1475 }, { "epoch": 0.69, "learning_rate": 0.00026937182199071613, "loss": 0.7228, "step": 1500 }, { "epoch": 0.7, "learning_rate": 0.0002682307591374206, "loss": 1.052, "step": 1525 }, { "epoch": 0.72, "learning_rate": 0.0002670713389333225, "loss": 0.729, "step": 1550 }, { "epoch": 0.73, "learning_rate": 0.0002658937413982708, "loss": 1.0472, "step": 1575 }, { "epoch": 0.74, "learning_rate": 0.00026469814937445655, "loss": 0.7294, "step": 1600 }, { "epoch": 0.75, "learning_rate": 0.00026348474849802357, "loss": 1.0383, "step": 1625 }, { "epoch": 0.76, "learning_rate": 0.000262253727170245, "loss": 0.723, "step": 1650 }, { "epoch": 0.77, "learning_rate": 0.0002610052765282711, "loss": 1.0467, "step": 1675 }, { "epoch": 0.78, "learning_rate": 0.0002597395904154515, "loss": 0.7191, "step": 1700 }, { "epoch": 0.8, "learning_rate": 0.0002584568653512381, "loss": 1.0481, "step": 1725 }, { "epoch": 0.81, "learning_rate": 0.0002571573005006718, "loss": 0.6965, "step": 1750 }, { "epoch": 0.82, "learning_rate": 0.00025584109764345905, "loss": 1.0579, "step": 1775 }, { "epoch": 0.83, "learning_rate": 0.0002545084611426415, "loss": 0.7132, "step": 1800 }, { "epoch": 0.84, "learning_rate": 0.00025315959791286585, "loss": 1.0537, "step": 1825 }, { "epoch": 0.85, "learning_rate": 0.0002517947173882562, "loss": 0.7253, "step": 1850 }, { "epoch": 0.87, "learning_rate": 0.0002504140314898962, "loss": 1.0335, "step": 1875 }, { "epoch": 0.88, "learning_rate": 0.0002490177545929246, "loss": 0.7112, "step": 1900 }, { "epoch": 0.89, "learning_rate": 0.00024760610349324955, "loss": 1.07, "step": 1925 }, { "epoch": 0.9, "learning_rate": 0.0002461792973738878, "loss": 0.7135, "step": 1950 }, { "epoch": 0.91, "learning_rate": 0.00024473755777093244, "loss": 1.0404, "step": 1975 }, { "epoch": 0.92, "learning_rate": 0.00024328110853915556, "loss": 0.714, "step": 2000 }, { "epoch": 0.93, "learning_rate": 0.00024181017581725143, "loss": 1.051, "step": 2025 }, { "epoch": 0.95, "learning_rate": 0.00024032498799272402, "loss": 0.725, "step": 2050 }, { "epoch": 0.96, "learning_rate": 0.0002388257756664263, "loss": 1.054, "step": 2075 }, { "epoch": 0.97, "learning_rate": 0.00023731277161675532, "loss": 0.7111, "step": 2100 }, { "epoch": 0.98, "learning_rate": 0.00023578621076350965, "loss": 1.0462, "step": 2125 }, { "epoch": 0.99, "learning_rate": 0.00023424633013141363, "loss": 0.7244, "step": 2150 }, { "epoch": 1.0, "learning_rate": 0.00023269336881331565, "loss": 0.9686, "step": 2175 }, { "epoch": 1.02, "learning_rate": 0.00023112756793306445, "loss": 0.8741, "step": 2200 }, { "epoch": 1.03, "learning_rate": 0.000229549170608071, "loss": 0.7772, "step": 2225 }, { "epoch": 1.04, "learning_rate": 0.00022795842191156, "loss": 0.8901, "step": 2250 }, { "epoch": 1.05, "learning_rate": 0.00022635556883451806, "loss": 0.8139, "step": 2275 }, { "epoch": 1.06, "learning_rate": 0.00022474086024734443, "loss": 0.8782, "step": 2300 }, { "epoch": 1.07, "learning_rate": 0.0002231145468612094, "loss": 0.8002, "step": 2325 }, { "epoch": 1.08, "learning_rate": 0.00022147688118912695, "loss": 0.9184, "step": 2350 }, { "epoch": 1.1, "learning_rate": 0.000219828117506748, "loss": 0.7961, "step": 2375 }, { "epoch": 1.11, "learning_rate": 0.0002181685118128797, "loss": 0.9099, "step": 2400 }, { "epoch": 1.12, "learning_rate": 0.00021649832178973727, "loss": 0.8191, "step": 2425 }, { "epoch": 1.13, "learning_rate": 0.00021481780676293428, "loss": 0.925, "step": 2450 }, { "epoch": 1.14, "learning_rate": 0.00021312722766121808, "loss": 0.7863, "step": 2475 }, { "epoch": 1.15, "learning_rate": 0.00021142684697595605, "loss": 0.9065, "step": 2500 }, { "epoch": 1.17, "learning_rate": 0.00020971692872037923, "loss": 0.7908, "step": 2525 }, { "epoch": 1.18, "learning_rate": 0.00020799773838859004, "loss": 0.9115, "step": 2550 }, { "epoch": 1.19, "learning_rate": 0.00020626954291433935, "loss": 0.7844, "step": 2575 }, { "epoch": 1.2, "learning_rate": 0.0002045326106295808, "loss": 0.9132, "step": 2600 }, { "epoch": 1.21, "learning_rate": 0.0002027872112228075, "loss": 0.7805, "step": 2625 }, { "epoch": 1.22, "learning_rate": 0.00020103361569717837, "loss": 0.9106, "step": 2650 }, { "epoch": 1.23, "learning_rate": 0.00019927209632844006, "loss": 0.791, "step": 2675 }, { "epoch": 1.25, "learning_rate": 0.00019750292662265174, "loss": 0.8947, "step": 2700 }, { "epoch": 1.26, "learning_rate": 0.00019572638127371837, "loss": 0.7896, "step": 2725 }, { "epoch": 1.27, "learning_rate": 0.00019394273612073992, "loss": 0.8987, "step": 2750 }, { "epoch": 1.28, "learning_rate": 0.00019215226810518254, "loss": 0.8036, "step": 2775 }, { "epoch": 1.29, "learning_rate": 0.0001903552552278787, "loss": 0.9274, "step": 2800 }, { "epoch": 1.3, "learning_rate": 0.0001885519765058627, "loss": 0.7937, "step": 2825 }, { "epoch": 1.32, "learning_rate": 0.0001867427119290488, "loss": 0.8966, "step": 2850 }, { "epoch": 1.33, "learning_rate": 0.00018492774241675742, "loss": 0.7985, "step": 2875 }, { "epoch": 1.34, "learning_rate": 0.00018310734977409826, "loss": 0.8964, "step": 2900 }, { "epoch": 1.35, "learning_rate": 0.00018128181664821475, "loss": 0.7905, "step": 2925 }, { "epoch": 1.36, "learning_rate": 0.00017945142648439843, "loss": 0.8919, "step": 2950 }, { "epoch": 1.37, "learning_rate": 0.00017761646348207917, "loss": 0.8017, "step": 2975 }, { "epoch": 1.38, "learning_rate": 0.0001757772125506984, "loss": 0.8873, "step": 3000 }, { "epoch": 1.4, "learning_rate": 0.00017393395926547202, "loss": 0.7904, "step": 3025 }, { "epoch": 1.41, "learning_rate": 0.00017208698982304984, "loss": 0.9017, "step": 3050 }, { "epoch": 1.42, "learning_rate": 0.00017023659099707876, "loss": 0.7917, "step": 3075 }, { "epoch": 1.43, "learning_rate": 0.00016838305009367628, "loss": 0.9097, "step": 3100 }, { "epoch": 1.44, "learning_rate": 0.00016652665490682128, "loss": 0.8175, "step": 3125 }, { "epoch": 1.45, "learning_rate": 0.00016466769367366887, "loss": 0.8899, "step": 3150 }, { "epoch": 1.47, "learning_rate": 0.00016280645502979695, "loss": 0.7847, "step": 3175 }, { "epoch": 1.48, "learning_rate": 0.00016094322796439043, "loss": 0.8796, "step": 3200 }, { "epoch": 1.49, "learning_rate": 0.00015907830177537078, "loss": 0.7959, "step": 3225 }, { "epoch": 1.5, "learning_rate": 0.00015721196602447735, "loss": 0.888, "step": 3250 }, { "epoch": 1.51, "learning_rate": 0.0001553445104923083, "loss": 0.7741, "step": 3275 }, { "epoch": 1.52, "learning_rate": 0.00015347622513332685, "loss": 0.9118, "step": 3300 }, { "epoch": 1.53, "learning_rate": 0.00015160740003084127, "loss": 0.7928, "step": 3325 }, { "epoch": 1.55, "learning_rate": 0.00014973832535196402, "loss": 0.8985, "step": 3350 }, { "epoch": 1.56, "learning_rate": 0.00014786929130255872, "loss": 0.7885, "step": 3375 }, { "epoch": 1.57, "learning_rate": 0.00014600058808218047, "loss": 0.8915, "step": 3400 }, { "epoch": 1.58, "learning_rate": 0.0001441325058390176, "loss": 0.775, "step": 3425 }, { "epoch": 1.59, "learning_rate": 0.00014226533462484097, "loss": 0.9084, "step": 3450 }, { "epoch": 1.6, "learning_rate": 0.0001403993643499688, "loss": 0.783, "step": 3475 }, { "epoch": 1.62, "learning_rate": 0.00013853488473825263, "loss": 0.897, "step": 3500 }, { "epoch": 1.63, "learning_rate": 0.00013667218528209314, "loss": 0.7799, "step": 3525 }, { "epoch": 1.64, "learning_rate": 0.00013481155519749142, "loss": 0.9029, "step": 3550 }, { "epoch": 1.65, "learning_rate": 0.0001329532833791431, "loss": 0.7867, "step": 3575 }, { "epoch": 1.66, "learning_rate": 0.00013109765835558256, "loss": 0.8932, "step": 3600 }, { "epoch": 1.67, "learning_rate": 0.00012924496824438401, "loss": 0.7868, "step": 3625 }, { "epoch": 1.68, "learning_rate": 0.00012739550070742616, "loss": 0.8851, "step": 3650 }, { "epoch": 1.7, "learning_rate": 0.00012554954290622798, "loss": 0.7783, "step": 3675 }, { "epoch": 1.71, "learning_rate": 0.0001237073814573617, "loss": 0.8929, "step": 3700 }, { "epoch": 1.72, "learning_rate": 0.00012186930238795088, "loss": 0.8003, "step": 3725 }, { "epoch": 1.73, "learning_rate": 0.00012003559109125972, "loss": 0.8833, "step": 3750 }, { "epoch": 1.74, "learning_rate": 0.00011820653228238095, "loss": 0.7831, "step": 3775 }, { "epoch": 1.75, "learning_rate": 0.00011638240995402873, "loss": 0.8936, "step": 3800 }, { "epoch": 1.77, "learning_rate": 0.00011456350733244412, "loss": 0.7678, "step": 3825 }, { "epoch": 1.78, "learning_rate": 0.00011275010683341939, "loss": 0.9017, "step": 3850 }, { "epoch": 1.79, "learning_rate": 0.00011094249001844783, "loss": 0.7693, "step": 3875 }, { "epoch": 1.8, "learning_rate": 0.0001091409375510068, "loss": 0.8821, "step": 3900 }, { "epoch": 1.81, "learning_rate": 0.00010734572915297985, "loss": 0.7796, "step": 3925 }, { "epoch": 1.82, "learning_rate": 0.000105557143561225, "loss": 0.8948, "step": 3950 }, { "epoch": 1.83, "learning_rate": 0.00010377545848429614, "loss": 0.7797, "step": 3975 }, { "epoch": 1.85, "learning_rate": 0.00010200095055932406, "loss": 0.8789, "step": 4000 }, { "epoch": 1.86, "learning_rate": 0.00010023389530906374, "loss": 0.791, "step": 4025 }, { "epoch": 1.87, "learning_rate": 9.847456709911478e-05, "loss": 0.8838, "step": 4050 }, { "epoch": 1.88, "learning_rate": 9.672323909532129e-05, "loss": 0.7831, "step": 4075 }, { "epoch": 1.89, "learning_rate": 9.498018322135838e-05, "loss": 0.8763, "step": 4100 }, { "epoch": 1.9, "learning_rate": 9.324567011651136e-05, "loss": 0.8028, "step": 4125 }, { "epoch": 1.92, "learning_rate": 9.151996909365419e-05, "loss": 0.9126, "step": 4150 }, { "epoch": 1.93, "learning_rate": 8.980334809743414e-05, "loss": 0.7953, "step": 4175 }, { "epoch": 1.94, "learning_rate": 8.809607366266878e-05, "loss": 0.8934, "step": 4200 }, { "epoch": 1.95, "learning_rate": 8.639841087296207e-05, "loss": 0.7763, "step": 4225 }, { "epoch": 1.96, "learning_rate": 8.471062331954525e-05, "loss": 0.8913, "step": 4250 }, { "epoch": 1.97, "learning_rate": 8.303297306034988e-05, "loss": 0.7765, "step": 4275 }, { "epoch": 1.98, "learning_rate": 8.136572057931912e-05, "loss": 0.8763, "step": 4300 }, { "epoch": 2.0, "learning_rate": 7.970912474596287e-05, "loss": 0.7483, "step": 4325 }, { "epoch": 2.01, "learning_rate": 7.806344277516381e-05, "loss": 0.9051, "step": 4350 }, { "epoch": 2.02, "learning_rate": 7.642893018724062e-05, "loss": 0.703, "step": 4375 }, { "epoch": 2.03, "learning_rate": 7.480584076827394e-05, "loss": 0.8799, "step": 4400 }, { "epoch": 2.04, "learning_rate": 7.319442653070165e-05, "loss": 0.7338, "step": 4425 }, { "epoch": 2.05, "learning_rate": 7.159493767418978e-05, "loss": 0.8673, "step": 4450 }, { "epoch": 2.07, "learning_rate": 7.000762254678456e-05, "loss": 0.7347, "step": 4475 }, { "epoch": 2.08, "learning_rate": 6.843272760635235e-05, "loss": 0.8641, "step": 4500 }, { "epoch": 2.09, "learning_rate": 6.687049738231268e-05, "loss": 0.7346, "step": 4525 }, { "epoch": 2.1, "learning_rate": 6.532117443767072e-05, "loss": 0.8766, "step": 4550 }, { "epoch": 2.11, "learning_rate": 6.378499933135577e-05, "loss": 0.7404, "step": 4575 }, { "epoch": 2.12, "learning_rate": 6.226221058086958e-05, "loss": 0.8855, "step": 4600 }, { "epoch": 2.13, "learning_rate": 6.0753044625253063e-05, "loss": 0.741, "step": 4625 }, { "epoch": 2.15, "learning_rate": 5.9257735788374854e-05, "loss": 0.8679, "step": 4650 }, { "epoch": 2.16, "learning_rate": 5.7776516242548395e-05, "loss": 0.7291, "step": 4675 }, { "epoch": 2.17, "learning_rate": 5.6309615972483455e-05, "loss": 0.8408, "step": 4700 }, { "epoch": 2.18, "learning_rate": 5.485726273957677e-05, "loss": 0.7349, "step": 4725 }, { "epoch": 2.19, "learning_rate": 5.341968204654852e-05, "loss": 0.8473, "step": 4750 }, { "epoch": 2.2, "learning_rate": 5.199709710242896e-05, "loss": 0.7233, "step": 4775 }, { "epoch": 2.22, "learning_rate": 5.058972878790129e-05, "loss": 0.8649, "step": 4800 }, { "epoch": 2.23, "learning_rate": 4.919779562100643e-05, "loss": 0.7435, "step": 4825 }, { "epoch": 2.24, "learning_rate": 4.782151372321425e-05, "loss": 0.8768, "step": 4850 }, { "epoch": 2.25, "learning_rate": 4.646109678586675e-05, "loss": 0.7419, "step": 4875 }, { "epoch": 2.26, "learning_rate": 4.511675603699927e-05, "loss": 0.8745, "step": 4900 }, { "epoch": 2.27, "learning_rate": 4.3788700208543235e-05, "loss": 0.7294, "step": 4925 }, { "epoch": 2.28, "learning_rate": 4.2477135503917515e-05, "loss": 0.8768, "step": 4950 }, { "epoch": 2.3, "learning_rate": 4.1182265566011184e-05, "loss": 0.74, "step": 4975 }, { "epoch": 2.31, "learning_rate": 3.9904291445564937e-05, "loss": 0.8695, "step": 5000 }, { "epoch": 2.32, "learning_rate": 3.864341156995439e-05, "loss": 0.7214, "step": 5025 }, { "epoch": 2.33, "learning_rate": 3.739982171238066e-05, "loss": 0.8579, "step": 5050 }, { "epoch": 2.34, "learning_rate": 3.617371496147347e-05, "loss": 0.7466, "step": 5075 }, { "epoch": 2.35, "learning_rate": 3.4965281691310755e-05, "loss": 0.8625, "step": 5100 }, { "epoch": 2.37, "learning_rate": 3.3774709531859636e-05, "loss": 0.7496, "step": 5125 }, { "epoch": 2.38, "learning_rate": 3.260218333984402e-05, "loss": 0.8741, "step": 5150 }, { "epoch": 2.39, "learning_rate": 3.144788517004204e-05, "loss": 0.7245, "step": 5175 }, { "epoch": 2.4, "learning_rate": 3.0311994247019213e-05, "loss": 0.8712, "step": 5200 }, { "epoch": 2.41, "learning_rate": 2.9194686937300664e-05, "loss": 0.7163, "step": 5225 }, { "epoch": 2.42, "learning_rate": 2.8096136721987088e-05, "loss": 0.8638, "step": 5250 }, { "epoch": 2.43, "learning_rate": 2.7016514169819016e-05, "loss": 0.7206, "step": 5275 }, { "epoch": 2.45, "learning_rate": 2.595598691069304e-05, "loss": 0.8693, "step": 5300 }, { "epoch": 2.46, "learning_rate": 2.491471960963434e-05, "loss": 0.7308, "step": 5325 }, { "epoch": 2.47, "learning_rate": 2.3892873941229695e-05, "loss": 0.8619, "step": 5350 }, { "epoch": 2.48, "learning_rate": 2.2890608564524616e-05, "loss": 0.7062, "step": 5375 }, { "epoch": 2.49, "learning_rate": 2.190807909838896e-05, "loss": 0.8553, "step": 5400 }, { "epoch": 2.5, "learning_rate": 2.0945438097354384e-05, "loss": 0.7415, "step": 5425 }, { "epoch": 2.52, "learning_rate": 2.0002835027927544e-05, "loss": 0.8702, "step": 5450 }, { "epoch": 2.53, "learning_rate": 1.908041624538304e-05, "loss": 0.7552, "step": 5475 }, { "epoch": 2.54, "learning_rate": 1.817832497103901e-05, "loss": 0.8496, "step": 5500 }, { "epoch": 2.55, "learning_rate": 1.729670127001987e-05, "loss": 0.7167, "step": 5525 }, { "epoch": 2.56, "learning_rate": 1.643568202950854e-05, "loss": 0.8556, "step": 5550 }, { "epoch": 2.57, "learning_rate": 1.559540093749247e-05, "loss": 0.7245, "step": 5575 }, { "epoch": 2.58, "learning_rate": 1.4775988462006316e-05, "loss": 0.8672, "step": 5600 }, { "epoch": 2.6, "learning_rate": 1.3977571830874524e-05, "loss": 0.7386, "step": 5625 }, { "epoch": 2.61, "learning_rate": 1.3200275011956901e-05, "loss": 0.862, "step": 5650 }, { "epoch": 2.62, "learning_rate": 1.2444218693900826e-05, "loss": 0.7431, "step": 5675 }, { "epoch": 2.63, "learning_rate": 1.170952026740178e-05, "loss": 0.8653, "step": 5700 }, { "epoch": 2.64, "learning_rate": 1.0996293806976907e-05, "loss": 0.743, "step": 5725 }, { "epoch": 2.65, "learning_rate": 1.0304650053252634e-05, "loss": 0.8539, "step": 5750 }, { "epoch": 2.67, "learning_rate": 9.63469639577048e-06, "loss": 0.7485, "step": 5775 }, { "epoch": 2.68, "learning_rate": 8.986536856312987e-06, "loss": 0.861, "step": 5800 }, { "epoch": 2.69, "learning_rate": 8.360272072752406e-06, "loss": 0.7405, "step": 5825 }, { "epoch": 2.7, "learning_rate": 7.755999283425168e-06, "loss": 0.8565, "step": 5850 }, { "epoch": 2.71, "learning_rate": 7.1738123120338e-06, "loss": 0.7328, "step": 5875 }, { "epoch": 2.72, "learning_rate": 6.613801553079184e-06, "loss": 0.8614, "step": 5900 }, { "epoch": 2.73, "learning_rate": 6.076053957825411e-06, "loss": 0.7389, "step": 5925 }, { "epoch": 2.75, "learning_rate": 5.560653020798906e-06, "loss": 0.8642, "step": 5950 }, { "epoch": 2.76, "learning_rate": 5.067678766824651e-06, "loss": 0.7141, "step": 5975 }, { "epoch": 2.77, "learning_rate": 4.597207738600911e-06, "loss": 0.8602, "step": 6000 } ], "max_steps": 6498, "num_train_epochs": 3, "total_flos": 4.8008476405304525e+17, "trial_name": null, "trial_params": null }