endoscopy / trainer_state.json
robertmccourt's picture
Upload folder using huggingface_hub
d2fcc73 verified
Raw History Blame Contribute Delete
35.9 kB
{ "best_metric": null, "best_model_checkpoint": null, "epoch": 5.0, "eval_steps": 500, "global_step": 295, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "learning_rate": 0.0001111111111111111, "loss": 2.2793, "step": 1 }, { "epoch": 0.03, "learning_rate": 0.0002222222222222222, "loss": 2.2853, "step": 2 }, { "epoch": 0.05, "learning_rate": 0.0003333333333333333, "loss": 1.9982, "step": 3 }, { "epoch": 0.07, "learning_rate": 0.0004444444444444444, "loss": 1.7452, "step": 4 }, { "epoch": 0.08, "learning_rate": 0.0005555555555555556, "loss": 1.4194, "step": 5 }, { "epoch": 0.1, "learning_rate": 0.0006666666666666666, "loss": 1.3396, "step": 6 }, { "epoch": 0.12, "learning_rate": 0.0007777777777777778, "loss": 1.3332, "step": 7 }, { "epoch": 0.14, "learning_rate": 0.0008888888888888888, "loss": 1.2855, "step": 8 }, { "epoch": 0.15, "learning_rate": 0.001, "loss": 1.2143, "step": 9 }, { "epoch": 0.17, "learning_rate": 0.0009999698350006063, "loss": 1.087, "step": 10 }, { "epoch": 0.19, "learning_rate": 0.000999879343642134, "loss": 1.0377, "step": 11 }, { "epoch": 0.2, "learning_rate": 0.0009997285368432702, "loss": 1.2128, "step": 12 }, { "epoch": 0.22, "learning_rate": 0.000999517432800363, "loss": 1.0801, "step": 13 }, { "epoch": 0.24, "learning_rate": 0.0009992460569852254, "loss": 0.848, "step": 14 }, { "epoch": 0.25, "learning_rate": 0.000998914442142063, "loss": 0.8885, "step": 15 }, { "epoch": 0.27, "learning_rate": 0.0009985226282835215, "loss": 0.8587, "step": 16 }, { "epoch": 0.29, "learning_rate": 0.0009980706626858606, "loss": 0.8086, "step": 17 }, { "epoch": 0.31, "learning_rate": 0.0009975585998832478, "loss": 0.8043, "step": 18 }, { "epoch": 0.32, "learning_rate": 0.00099698650166118, "loss": 0.7563, "step": 19 }, { "epoch": 0.34, "learning_rate": 0.000996354437049027, "loss": 0.723, "step": 20 }, { "epoch": 0.36, "learning_rate": 0.0009956624823117036, "loss": 0.7343, "step": 21 }, { "epoch": 0.37, "learning_rate": 0.0009949107209404665, "loss": 0.693, "step": 22 }, { "epoch": 0.39, "learning_rate": 0.000994099243642841, "loss": 0.6227, "step": 23 }, { "epoch": 0.41, "learning_rate": 0.0009932281483316758, "loss": 0.6093, "step": 24 }, { "epoch": 0.42, "learning_rate": 0.0009922975401133291, "loss": 0.6365, "step": 25 }, { "epoch": 0.44, "learning_rate": 0.0009913075312749865, "loss": 0.5727, "step": 26 }, { "epoch": 0.46, "learning_rate": 0.000990258241271112, "loss": 0.3922, "step": 27 }, { "epoch": 0.47, "learning_rate": 0.0009891497967090344, "loss": 0.5033, "step": 28 }, { "epoch": 0.49, "learning_rate": 0.0009879823313336722, "loss": 0.5103, "step": 29 }, { "epoch": 0.51, "learning_rate": 0.000986755986011395, "loss": 0.4317, "step": 30 }, { "epoch": 0.53, "learning_rate": 0.000985470908713026, "loss": 0.4054, "step": 31 }, { "epoch": 0.54, "learning_rate": 0.0009841272544959892, "loss": 0.361, "step": 32 }, { "epoch": 0.56, "learning_rate": 0.0009827251854855992, "loss": 0.4515, "step": 33 }, { "epoch": 0.58, "learning_rate": 0.000981264870855499, "loss": 0.3893, "step": 34 }, { "epoch": 0.59, "learning_rate": 0.0009797464868072487, "loss": 0.332, "step": 35 }, { "epoch": 0.61, "learning_rate": 0.0009781702165490638, "loss": 0.3706, "step": 36 }, { "epoch": 0.63, "learning_rate": 0.0009765362502737097, "loss": 0.3606, "step": 37 }, { "epoch": 0.64, "learning_rate": 0.0009748447851355535, "loss": 0.3067, "step": 38 }, { "epoch": 0.66, "learning_rate": 0.0009730960252267743, "loss": 0.2683, "step": 39 }, { "epoch": 0.68, "learning_rate": 0.0009712901815527386, "loss": 0.3499, "step": 40 }, { "epoch": 0.69, "learning_rate": 0.0009694274720065399, "loss": 0.3047, "step": 41 }, { "epoch": 0.71, "learning_rate": 0.0009675081213427075, "loss": 0.334, "step": 42 }, { "epoch": 0.73, "learning_rate": 0.0009655323611500874, "loss": 0.252, "step": 43 }, { "epoch": 0.75, "learning_rate": 0.0009635004298239003, "loss": 0.2929, "step": 44 }, { "epoch": 0.76, "learning_rate": 0.0009614125725369747, "loss": 0.2636, "step": 45 }, { "epoch": 0.78, "learning_rate": 0.0009592690412101658, "loss": 0.2265, "step": 46 }, { "epoch": 0.8, "learning_rate": 0.0009570700944819584, "loss": 0.2842, "step": 47 }, { "epoch": 0.81, "learning_rate": 0.0009548159976772592, "loss": 0.3006, "step": 48 }, { "epoch": 0.83, "learning_rate": 0.0009525070227753834, "loss": 0.2884, "step": 49 }, { "epoch": 0.85, "learning_rate": 0.0009501434483772371, "loss": 0.2627, "step": 50 }, { "epoch": 0.86, "learning_rate": 0.0009477255596717012, "loss": 0.2446, "step": 51 }, { "epoch": 0.88, "learning_rate": 0.0009452536484012212, "loss": 0.1926, "step": 52 }, { "epoch": 0.9, "learning_rate": 0.0009427280128266049, "loss": 0.2356, "step": 53 }, { "epoch": 0.92, "learning_rate": 0.0009401489576910349, "loss": 0.2356, "step": 54 }, { "epoch": 0.93, "learning_rate": 0.0009375167941832973, "loss": 0.2395, "step": 55 }, { "epoch": 0.95, "learning_rate": 0.0009348318399002345, "loss": 0.2681, "step": 56 }, { "epoch": 0.97, "learning_rate": 0.0009320944188084242, "loss": 0.2252, "step": 57 }, { "epoch": 0.98, "learning_rate": 0.0009293048612050883, "loss": 0.1862, "step": 58 }, { "epoch": 1.0, "learning_rate": 0.0009264635036782405, "loss": 0.2215, "step": 59 }, { "epoch": 1.02, "learning_rate": 0.0009235706890660734, "loss": 0.1712, "step": 60 }, { "epoch": 1.03, "learning_rate": 0.0009206267664155906, "loss": 0.2162, "step": 61 }, { "epoch": 1.05, "learning_rate": 0.0009176320909404924, "loss": 0.1684, "step": 62 }, { "epoch": 1.07, "learning_rate": 0.0009145870239783141, "loss": 0.1432, "step": 63 }, { "epoch": 1.08, "learning_rate": 0.0009114919329468282, "loss": 0.1798, "step": 64 }, { "epoch": 1.1, "learning_rate": 0.0009083471912997109, "loss": 0.1961, "step": 65 }, { "epoch": 1.12, "learning_rate": 0.0009051531784814817, "loss": 0.2043, "step": 66 }, { "epoch": 1.14, "learning_rate": 0.0009019102798817196, "loss": 0.1493, "step": 67 }, { "epoch": 1.15, "learning_rate": 0.0008986188867885616, "loss": 0.1943, "step": 68 }, { "epoch": 1.17, "learning_rate": 0.0008952793963414907, "loss": 0.1955, "step": 69 }, { "epoch": 1.19, "learning_rate": 0.0008918922114834156, "loss": 0.194, "step": 70 }, { "epoch": 1.2, "learning_rate": 0.0008884577409120535, "loss": 0.1765, "step": 71 }, { "epoch": 1.22, "learning_rate": 0.0008849763990306152, "loss": 0.1608, "step": 72 }, { "epoch": 1.24, "learning_rate": 0.0008814486058978035, "loss": 0.1596, "step": 73 }, { "epoch": 1.25, "learning_rate": 0.0008778747871771292, "loss": 0.1756, "step": 74 }, { "epoch": 1.27, "learning_rate": 0.0008742553740855505, "loss": 0.1507, "step": 75 }, { "epoch": 1.29, "learning_rate": 0.0008705908033414425, "loss": 0.1243, "step": 76 }, { "epoch": 1.31, "learning_rate": 0.000866881517111902, "loss": 0.1431, "step": 77 }, { "epoch": 1.32, "learning_rate": 0.0008631279629593967, "loss": 0.1358, "step": 78 }, { "epoch": 1.34, "learning_rate": 0.0008593305937877613, "loss": 0.1452, "step": 79 }, { "epoch": 1.36, "learning_rate": 0.0008554898677875509, "loss": 0.1239, "step": 80 }, { "epoch": 1.37, "learning_rate": 0.0008516062483807555, "loss": 0.1566, "step": 81 }, { "epoch": 1.39, "learning_rate": 0.0008476802041648832, "loss": 0.1353, "step": 82 }, { "epoch": 1.41, "learning_rate": 0.0008437122088564197, "loss": 0.1023, "step": 83 }, { "epoch": 1.42, "learning_rate": 0.0008397027412336691, "loss": 0.1386, "step": 84 }, { "epoch": 1.44, "learning_rate": 0.0008356522850789851, "loss": 0.1315, "step": 85 }, { "epoch": 1.46, "learning_rate": 0.0008315613291203976, "loss": 0.1285, "step": 86 }, { "epoch": 1.47, "learning_rate": 0.0008274303669726426, "loss": 0.1482, "step": 87 }, { "epoch": 1.49, "learning_rate": 0.0008232598970776028, "loss": 0.1012, "step": 88 }, { "epoch": 1.51, "learning_rate": 0.0008190504226441654, "loss": 0.1552, "step": 89 }, { "epoch": 1.53, "learning_rate": 0.0008148024515875057, "loss": 0.1133, "step": 90 }, { "epoch": 1.54, "learning_rate": 0.0008105164964678008, "loss": 0.1246, "step": 91 }, { "epoch": 1.56, "learning_rate": 0.0008061930744283854, "loss": 0.124, "step": 92 }, { "epoch": 1.58, "learning_rate": 0.0008018327071333521, "loss": 0.1149, "step": 93 }, { "epoch": 1.59, "learning_rate": 0.000797435920704608, "loss": 0.1231, "step": 94 }, { "epoch": 1.61, "learning_rate": 0.0007930032456583931, "loss": 0.1335, "step": 95 }, { "epoch": 1.63, "learning_rate": 0.0007885352168412676, "loss": 0.1132, "step": 96 }, { "epoch": 1.64, "learning_rate": 0.0007840323733655779, "loss": 0.1233, "step": 97 }, { "epoch": 1.66, "learning_rate": 0.0007794952585444068, "loss": 0.1224, "step": 98 }, { "epoch": 1.68, "learning_rate": 0.0007749244198260175, "loss": 0.1014, "step": 99 }, { "epoch": 1.69, "learning_rate": 0.0007703204087277988, "loss": 0.1046, "step": 100 }, { "epoch": 1.71, "learning_rate": 0.0007656837807697187, "loss": 0.1291, "step": 101 }, { "epoch": 1.73, "learning_rate": 0.0007610150954072952, "loss": 0.1085, "step": 102 }, { "epoch": 1.75, "learning_rate": 0.0007563149159640929, "loss": 0.0982, "step": 103 }, { "epoch": 1.76, "learning_rate": 0.000751583809563752, "loss": 0.1024, "step": 104 }, { "epoch": 1.78, "learning_rate": 0.0007468223470615592, "loss": 0.1017, "step": 105 }, { "epoch": 1.8, "learning_rate": 0.0007420311029755687, "loss": 0.0854, "step": 106 }, { "epoch": 1.81, "learning_rate": 0.0007372106554172802, "loss": 0.1233, "step": 107 }, { "epoch": 1.83, "learning_rate": 0.0007323615860218843, "loss": 0.1052, "step": 108 }, { "epoch": 1.85, "learning_rate": 0.0007274844798780825, "loss": 0.1145, "step": 109 }, { "epoch": 1.86, "learning_rate": 0.0007225799254574904, "loss": 0.0964, "step": 110 }, { "epoch": 1.88, "learning_rate": 0.0007176485145436324, "loss": 0.1058, "step": 111 }, { "epoch": 1.9, "learning_rate": 0.0007126908421605375, "loss": 0.1114, "step": 112 }, { "epoch": 1.92, "learning_rate": 0.0007077075065009433, "loss": 0.1143, "step": 113 }, { "epoch": 1.93, "learning_rate": 0.0007026991088541184, "loss": 0.0994, "step": 114 }, { "epoch": 1.95, "learning_rate": 0.0006976662535333107, "loss": 0.0954, "step": 115 }, { "epoch": 1.97, "learning_rate": 0.0006926095478028312, "loss": 0.0941, "step": 116 }, { "epoch": 1.98, "learning_rate": 0.000687529601804781, "loss": 0.1026, "step": 117 }, { "epoch": 2.0, "learning_rate": 0.0006824270284854318, "loss": 0.0884, "step": 118 }, { "epoch": 2.02, "learning_rate": 0.0006773024435212678, "loss": 0.0958, "step": 119 }, { "epoch": 2.03, "learning_rate": 0.0006721564652446986, "loss": 0.0869, "step": 120 }, { "epoch": 2.05, "learning_rate": 0.0006669897145694507, "loss": 0.0929, "step": 121 }, { "epoch": 2.07, "learning_rate": 0.0006618028149156478, "loss": 0.0858, "step": 122 }, { "epoch": 2.08, "learning_rate": 0.0006565963921345895, "loss": 0.0833, "step": 123 }, { "epoch": 2.1, "learning_rate": 0.000651371074433236, "loss": 0.093, "step": 124 }, { "epoch": 2.12, "learning_rate": 0.0006461274922984087, "loss": 0.0954, "step": 125 }, { "epoch": 2.14, "learning_rate": 0.0006408662784207149, "loss": 0.079, "step": 126 }, { "epoch": 2.15, "learning_rate": 0.0006355880676182085, "loss": 0.0794, "step": 127 }, { "epoch": 2.17, "learning_rate": 0.0006302934967597922, "loss": 0.0765, "step": 128 }, { "epoch": 2.19, "learning_rate": 0.0006249832046883729, "loss": 0.0811, "step": 129 }, { "epoch": 2.2, "learning_rate": 0.0006196578321437789, "loss": 0.077, "step": 130 }, { "epoch": 2.22, "learning_rate": 0.0006143180216854487, "loss": 0.0825, "step": 131 }, { "epoch": 2.24, "learning_rate": 0.0006089644176148992, "loss": 0.0878, "step": 132 }, { "epoch": 2.25, "learning_rate": 0.0006035976658979846, "loss": 0.089, "step": 133 }, { "epoch": 2.27, "learning_rate": 0.0005982184140869538, "loss": 0.0748, "step": 134 }, { "epoch": 2.29, "learning_rate": 0.0005928273112423177, "loss": 0.0811, "step": 135 }, { "epoch": 2.31, "learning_rate": 0.0005874250078545323, "loss": 0.0825, "step": 136 }, { "epoch": 2.32, "learning_rate": 0.000582012155765511, "loss": 0.0866, "step": 137 }, { "epoch": 2.34, "learning_rate": 0.000576589408089974, "loss": 0.0818, "step": 138 }, { "epoch": 2.36, "learning_rate": 0.0005711574191366427, "loss": 0.0961, "step": 139 }, { "epoch": 2.37, "learning_rate": 0.0005657168443292908, "loss": 0.0767, "step": 140 }, { "epoch": 2.39, "learning_rate": 0.0005602683401276614, "loss": 0.0719, "step": 141 }, { "epoch": 2.41, "learning_rate": 0.0005548125639482587, "loss": 0.0747, "step": 142 }, { "epoch": 2.42, "learning_rate": 0.0005493501740850228, "loss": 0.0836, "step": 143 }, { "epoch": 2.44, "learning_rate": 0.0005438818296299015, "loss": 0.0823, "step": 144 }, { "epoch": 2.46, "learning_rate": 0.0005384081903933235, "loss": 0.0789, "step": 145 }, { "epoch": 2.47, "learning_rate": 0.0005329299168245857, "loss": 0.0788, "step": 146 }, { "epoch": 2.49, "learning_rate": 0.0005274476699321638, "loss": 0.0857, "step": 147 }, { "epoch": 2.51, "learning_rate": 0.0005219621112039544, "loss": 0.0828, "step": 148 }, { "epoch": 2.53, "learning_rate": 0.0005164739025274604, "loss": 0.083, "step": 149 }, { "epoch": 2.54, "learning_rate": 0.0005109837061099274, "loss": 0.0916, "step": 150 }, { "epoch": 2.56, "learning_rate": 0.0005054921843984418, "loss": 0.0813, "step": 151 }, { "epoch": 2.58, "learning_rate": 0.0005, "loss": 0.0714, "step": 152 }, { "epoch": 2.59, "learning_rate": 0.0004945078156015581, "loss": 0.0741, "step": 153 }, { "epoch": 2.61, "learning_rate": 0.0004890162938900726, "loss": 0.0839, "step": 154 }, { "epoch": 2.63, "learning_rate": 0.00048352609747253966, "loss": 0.0725, "step": 155 }, { "epoch": 2.64, "learning_rate": 0.0004780378887960458, "loss": 0.0843, "step": 156 }, { "epoch": 2.66, "learning_rate": 0.0004725523300678363, "loss": 0.106, "step": 157 }, { "epoch": 2.68, "learning_rate": 0.00046707008317541446, "loss": 0.0715, "step": 158 }, { "epoch": 2.69, "learning_rate": 0.0004615918096066766, "loss": 0.0787, "step": 159 }, { "epoch": 2.71, "learning_rate": 0.00045611817037009855, "loss": 0.0786, "step": 160 }, { "epoch": 2.73, "learning_rate": 0.0004506498259149773, "loss": 0.0752, "step": 161 }, { "epoch": 2.75, "learning_rate": 0.0004451874360517413, "loss": 0.0771, "step": 162 }, { "epoch": 2.76, "learning_rate": 0.00043973165987233853, "loss": 0.0704, "step": 163 }, { "epoch": 2.78, "learning_rate": 0.0004342831556707093, "loss": 0.0737, "step": 164 }, { "epoch": 2.8, "learning_rate": 0.0004288425808633575, "loss": 0.0711, "step": 165 }, { "epoch": 2.81, "learning_rate": 0.00042341059191002613, "loss": 0.0796, "step": 166 }, { "epoch": 2.83, "learning_rate": 0.0004179878442344892, "loss": 0.0753, "step": 167 }, { "epoch": 2.85, "learning_rate": 0.0004125749921454679, "loss": 0.0787, "step": 168 }, { "epoch": 2.86, "learning_rate": 0.00040717268875768226, "loss": 0.0765, "step": 169 }, { "epoch": 2.88, "learning_rate": 0.00040178158591304614, "loss": 0.074, "step": 170 }, { "epoch": 2.9, "learning_rate": 0.00039640233410201555, "loss": 0.0747, "step": 171 }, { "epoch": 2.92, "learning_rate": 0.00039103558238510084, "loss": 0.0779, "step": 172 }, { "epoch": 2.93, "learning_rate": 0.00038568197831455135, "loss": 0.0821, "step": 173 }, { "epoch": 2.95, "learning_rate": 0.00038034216785622126, "loss": 0.0796, "step": 174 }, { "epoch": 2.97, "learning_rate": 0.0003750167953116272, "loss": 0.0661, "step": 175 }, { "epoch": 2.98, "learning_rate": 0.00036970650324020783, "loss": 0.0725, "step": 176 }, { "epoch": 3.0, "learning_rate": 0.0003644119323817915, "loss": 0.0756, "step": 177 }, { "epoch": 3.02, "learning_rate": 0.0003591337215792851, "loss": 0.0635, "step": 178 }, { "epoch": 3.03, "learning_rate": 0.0003538725077015915, "loss": 0.0698, "step": 179 }, { "epoch": 3.05, "learning_rate": 0.00034862892556676393, "loss": 0.0875, "step": 180 }, { "epoch": 3.07, "learning_rate": 0.0003434036078654106, "loss": 0.0675, "step": 181 }, { "epoch": 3.08, "learning_rate": 0.0003381971850843523, "loss": 0.071, "step": 182 }, { "epoch": 3.1, "learning_rate": 0.0003330102854305493, "loss": 0.0675, "step": 183 }, { "epoch": 3.12, "learning_rate": 0.00032784353475530137, "loss": 0.0689, "step": 184 }, { "epoch": 3.14, "learning_rate": 0.00032269755647873217, "loss": 0.0711, "step": 185 }, { "epoch": 3.15, "learning_rate": 0.0003175729715145684, "loss": 0.0692, "step": 186 }, { "epoch": 3.17, "learning_rate": 0.00031247039819521906, "loss": 0.0718, "step": 187 }, { "epoch": 3.19, "learning_rate": 0.00030739045219716887, "loss": 0.0769, "step": 188 }, { "epoch": 3.2, "learning_rate": 0.0003023337464666893, "loss": 0.0703, "step": 189 }, { "epoch": 3.22, "learning_rate": 0.0002973008911458816, "loss": 0.0793, "step": 190 }, { "epoch": 3.24, "learning_rate": 0.0002922924934990568, "loss": 0.0681, "step": 191 }, { "epoch": 3.25, "learning_rate": 0.0002873091578394626, "loss": 0.07, "step": 192 }, { "epoch": 3.27, "learning_rate": 0.0002823514854563677, "loss": 0.0667, "step": 193 }, { "epoch": 3.29, "learning_rate": 0.0002774200745425096, "loss": 0.0718, "step": 194 }, { "epoch": 3.31, "learning_rate": 0.0002725155201219176, "loss": 0.071, "step": 195 }, { "epoch": 3.32, "learning_rate": 0.00026763841397811573, "loss": 0.0697, "step": 196 }, { "epoch": 3.34, "learning_rate": 0.00026278934458272, "loss": 0.0633, "step": 197 }, { "epoch": 3.36, "learning_rate": 0.00025796889702443126, "loss": 0.0616, "step": 198 }, { "epoch": 3.37, "learning_rate": 0.0002531776529384407, "loss": 0.0653, "step": 199 }, { "epoch": 3.39, "learning_rate": 0.0002484161904362481, "loss": 0.0674, "step": 200 }, { "epoch": 3.41, "learning_rate": 0.00024368508403590727, "loss": 0.071, "step": 201 }, { "epoch": 3.42, "learning_rate": 0.0002389849045927049, "loss": 0.065, "step": 202 }, { "epoch": 3.44, "learning_rate": 0.00023431621923028145, "loss": 0.0657, "step": 203 }, { "epoch": 3.46, "learning_rate": 0.0002296795912722014, "loss": 0.0708, "step": 204 }, { "epoch": 3.47, "learning_rate": 0.0002250755801739826, "loss": 0.0666, "step": 205 }, { "epoch": 3.49, "learning_rate": 0.00022050474145559324, "loss": 0.0643, "step": 206 }, { "epoch": 3.51, "learning_rate": 0.00021596762663442215, "loss": 0.0622, "step": 207 }, { "epoch": 3.53, "learning_rate": 0.00021146478315873236, "loss": 0.0651, "step": 208 }, { "epoch": 3.54, "learning_rate": 0.00020699675434160698, "loss": 0.0712, "step": 209 }, { "epoch": 3.56, "learning_rate": 0.000202564079295392, "loss": 0.0662, "step": 210 }, { "epoch": 3.58, "learning_rate": 0.00019816729286664797, "loss": 0.0712, "step": 211 }, { "epoch": 3.59, "learning_rate": 0.0001938069255716145, "loss": 0.0688, "step": 212 }, { "epoch": 3.61, "learning_rate": 0.00018948350353219912, "loss": 0.0678, "step": 213 }, { "epoch": 3.63, "learning_rate": 0.0001851975484124944, "loss": 0.0685, "step": 214 }, { "epoch": 3.64, "learning_rate": 0.00018094957735583463, "loss": 0.0683, "step": 215 }, { "epoch": 3.66, "learning_rate": 0.00017674010292239746, "loss": 0.0704, "step": 216 }, { "epoch": 3.68, "learning_rate": 0.0001725696330273575, "loss": 0.0665, "step": 217 }, { "epoch": 3.69, "learning_rate": 0.00016843867087960252, "loss": 0.0662, "step": 218 }, { "epoch": 3.71, "learning_rate": 0.00016434771492101485, "loss": 0.0604, "step": 219 }, { "epoch": 3.73, "learning_rate": 0.00016029725876633085, "loss": 0.0697, "step": 220 }, { "epoch": 3.75, "learning_rate": 0.00015628779114358032, "loss": 0.0652, "step": 221 }, { "epoch": 3.76, "learning_rate": 0.00015231979583511668, "loss": 0.0712, "step": 222 }, { "epoch": 3.78, "learning_rate": 0.00014839375161924446, "loss": 0.0711, "step": 223 }, { "epoch": 3.8, "learning_rate": 0.00014451013221244914, "loss": 0.0693, "step": 224 }, { "epoch": 3.81, "learning_rate": 0.0001406694062122389, "loss": 0.07, "step": 225 }, { "epoch": 3.83, "learning_rate": 0.00013687203704060343, "loss": 0.0685, "step": 226 }, { "epoch": 3.85, "learning_rate": 0.00013311848288809813, "loss": 0.0705, "step": 227 }, { "epoch": 3.86, "learning_rate": 0.0001294091966585576, "loss": 0.0666, "step": 228 }, { "epoch": 3.88, "learning_rate": 0.0001257446259144494, "loss": 0.0625, "step": 229 }, { "epoch": 3.9, "learning_rate": 0.00012212521282287093, "loss": 0.0672, "step": 230 }, { "epoch": 3.92, "learning_rate": 0.00011855139410219657, "loss": 0.0645, "step": 231 }, { "epoch": 3.93, "learning_rate": 0.00011502360096938485, "loss": 0.0684, "step": 232 }, { "epoch": 3.95, "learning_rate": 0.0001115422590879464, "loss": 0.0676, "step": 233 }, { "epoch": 3.97, "learning_rate": 0.00010810778851658437, "loss": 0.0694, "step": 234 }, { "epoch": 3.98, "learning_rate": 0.00010472060365850949, "loss": 0.0668, "step": 235 }, { "epoch": 4.0, "learning_rate": 0.00010138111321143839, "loss": 0.0642, "step": 236 }, { "epoch": 4.02, "learning_rate": 9.808972011828055e-05, "loss": 0.0594, "step": 237 }, { "epoch": 4.03, "learning_rate": 9.484682151851831e-05, "loss": 0.0644, "step": 238 }, { "epoch": 4.05, "learning_rate": 9.16528087002892e-05, "loss": 0.0641, "step": 239 }, { "epoch": 4.07, "learning_rate": 8.850806705317183e-05, "loss": 0.0642, "step": 240 }, { "epoch": 4.08, "learning_rate": 8.54129760216859e-05, "loss": 0.068, "step": 241 }, { "epoch": 4.1, "learning_rate": 8.236790905950763e-05, "loss": 0.0604, "step": 242 }, { "epoch": 4.12, "learning_rate": 7.937323358440934e-05, "loss": 0.0663, "step": 243 }, { "epoch": 4.14, "learning_rate": 7.642931093392674e-05, "loss": 0.0624, "step": 244 }, { "epoch": 4.15, "learning_rate": 7.353649632175957e-05, "loss": 0.0686, "step": 245 }, { "epoch": 4.17, "learning_rate": 7.069513879491179e-05, "loss": 0.0672, "step": 246 }, { "epoch": 4.19, "learning_rate": 6.790558119157597e-05, "loss": 0.0657, "step": 247 }, { "epoch": 4.2, "learning_rate": 6.516816009976557e-05, "loss": 0.0639, "step": 248 }, { "epoch": 4.22, "learning_rate": 6.248320581670281e-05, "loss": 0.0667, "step": 249 }, { "epoch": 4.24, "learning_rate": 5.9851042308965156e-05, "loss": 0.0658, "step": 250 }, { "epoch": 4.25, "learning_rate": 5.72719871733951e-05, "loss": 0.0663, "step": 251 }, { "epoch": 4.27, "learning_rate": 5.474635159877883e-05, "loss": 0.0677, "step": 252 }, { "epoch": 4.29, "learning_rate": 5.227444032829887e-05, "loss": 0.0681, "step": 253 }, { "epoch": 4.31, "learning_rate": 4.985655162276298e-05, "loss": 0.0822, "step": 254 }, { "epoch": 4.32, "learning_rate": 4.7492977224616595e-05, "loss": 0.0626, "step": 255 }, { "epoch": 4.34, "learning_rate": 4.518400232274078e-05, "loss": 0.0648, "step": 256 }, { "epoch": 4.36, "learning_rate": 4.292990551804171e-05, "loss": 0.0697, "step": 257 }, { "epoch": 4.37, "learning_rate": 4.0730958789834295e-05, "loss": 0.0661, "step": 258 }, { "epoch": 4.39, "learning_rate": 3.8587427463025346e-05, "loss": 0.0613, "step": 259 }, { "epoch": 4.41, "learning_rate": 3.6499570176099786e-05, "loss": 0.0645, "step": 260 }, { "epoch": 4.42, "learning_rate": 3.44676388499125e-05, "loss": 0.0586, "step": 261 }, { "epoch": 4.44, "learning_rate": 3.249187865729264e-05, "loss": 0.0631, "step": 262 }, { "epoch": 4.46, "learning_rate": 3.0572527993460054e-05, "loss": 0.0649, "step": 263 }, { "epoch": 4.47, "learning_rate": 2.8709818447261338e-05, "loss": 0.0657, "step": 264 }, { "epoch": 4.49, "learning_rate": 2.6903974773225702e-05, "loss": 0.0625, "step": 265 }, { "epoch": 4.51, "learning_rate": 2.5155214864446553e-05, "loss": 0.0648, "step": 266 }, { "epoch": 4.53, "learning_rate": 2.3463749726290285e-05, "loss": 0.0663, "step": 267 }, { "epoch": 4.54, "learning_rate": 2.182978345093628e-05, "loss": 0.0665, "step": 268 }, { "epoch": 4.56, "learning_rate": 2.025351319275137e-05, "loss": 0.0587, "step": 269 }, { "epoch": 4.58, "learning_rate": 1.8735129144501038e-05, "loss": 0.0608, "step": 270 }, { "epoch": 4.59, "learning_rate": 1.7274814514400992e-05, "loss": 0.0663, "step": 271 }, { "epoch": 4.61, "learning_rate": 1.58727455040108e-05, "loss": 0.0629, "step": 272 }, { "epoch": 4.63, "learning_rate": 1.4529091286973995e-05, "loss": 0.0585, "step": 273 }, { "epoch": 4.64, "learning_rate": 1.3244013988605087e-05, "loss": 0.0622, "step": 274 }, { "epoch": 4.66, "learning_rate": 1.2017668666327752e-05, "loss": 0.0603, "step": 275 }, { "epoch": 4.68, "learning_rate": 1.0850203290965699e-05, "loss": 0.0603, "step": 276 }, { "epoch": 4.69, "learning_rate": 9.741758728888216e-06, "loss": 0.0662, "step": 277 }, { "epoch": 4.71, "learning_rate": 8.692468725013448e-06, "loss": 0.065, "step": 278 }, { "epoch": 4.73, "learning_rate": 7.702459886670788e-06, "loss": 0.0653, "step": 279 }, { "epoch": 4.75, "learning_rate": 6.771851668324225e-06, "loss": 0.063, "step": 280 }, { "epoch": 4.76, "learning_rate": 5.9007563571591425e-06, "loss": 0.0653, "step": 281 }, { "epoch": 4.78, "learning_rate": 5.089279059533658e-06, "loss": 0.0638, "step": 282 }, { "epoch": 4.8, "learning_rate": 4.337517688296544e-06, "loss": 0.0631, "step": 283 }, { "epoch": 4.81, "learning_rate": 3.645562950973014e-06, "loss": 0.0607, "step": 284 }, { "epoch": 4.83, "learning_rate": 3.013498338820031e-06, "loss": 0.0668, "step": 285 }, { "epoch": 4.85, "learning_rate": 2.441400116752146e-06, "loss": 0.061, "step": 286 }, { "epoch": 4.86, "learning_rate": 1.9293373141394122e-06, "loss": 0.065, "step": 287 }, { "epoch": 4.88, "learning_rate": 1.4773717164784372e-06, "loss": 0.0671, "step": 288 }, { "epoch": 4.9, "learning_rate": 1.0855578579370695e-06, "loss": 0.0616, "step": 289 }, { "epoch": 4.92, "learning_rate": 7.539430147745497e-07, "loss": 0.0642, "step": 290 }, { "epoch": 4.93, "learning_rate": 4.825671996370185e-07, "loss": 0.0661, "step": 291 }, { "epoch": 4.95, "learning_rate": 2.714631567297121e-07, "loss": 0.0632, "step": 292 }, { "epoch": 4.97, "learning_rate": 1.2065635786595587e-07, "loss": 0.0671, "step": 293 }, { "epoch": 4.98, "learning_rate": 3.016499939367812e-08, "loss": 0.0615, "step": 294 }, { "epoch": 5.0, "learning_rate": 0.0, "loss": 0.0602, "step": 295 }, { "epoch": 5.0, "step": 295, "total_flos": 3.974264003126886e+16, "train_loss": 0.20217839560266268, "train_runtime": 961.6505, "train_samples_per_second": 19.363, "train_steps_per_second": 0.307 } ], "logging_steps": 1.0, "max_steps": 295, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 3000, "total_flos": 3.974264003126886e+16, "train_batch_size": 32, "trial_name": null, "trial_params": null }
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"eval_steps": 500,
"global_step": 295,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 0.0001111111111111111,
"loss": 2.2793,
"step": 1
},
{
"epoch": 0.03,
"learning_rate": 0.0002222222222222222,
"loss": 2.2853,
"step": 2
},
{
"epoch": 0.05,
"learning_rate": 0.0003333333333333333,
"loss": 1.9982,
"step": 3
},
{
"epoch": 0.07,
"learning_rate": 0.0004444444444444444,
"loss": 1.7452,
"step": 4
},
{
"epoch": 0.08,
"learning_rate": 0.0005555555555555556,
"loss": 1.4194,
"step": 5
},
{
"epoch": 0.1,
"learning_rate": 0.0006666666666666666,
"loss": 1.3396,
"step": 6
},
{
"epoch": 0.12,
"learning_rate": 0.0007777777777777778,
"loss": 1.3332,
"step": 7
},
{
"epoch": 0.14,
"learning_rate": 0.0008888888888888888,
"loss": 1.2855,
"step": 8
},
{
"epoch": 0.15,
"learning_rate": 0.001,
"loss": 1.2143,
"step": 9
},
{
"epoch": 0.17,
"learning_rate": 0.0009999698350006063,
"loss": 1.087,
"step": 10
},
{
"epoch": 0.19,
"learning_rate": 0.000999879343642134,
"loss": 1.0377,
"step": 11
},
{
"epoch": 0.2,
"learning_rate": 0.0009997285368432702,
"loss": 1.2128,
"step": 12
},
{
"epoch": 0.22,
"learning_rate": 0.000999517432800363,
"loss": 1.0801,
"step": 13
},
{
"epoch": 0.24,
"learning_rate": 0.0009992460569852254,
"loss": 0.848,
"step": 14
},
{
"epoch": 0.25,
"learning_rate": 0.000998914442142063,
"loss": 0.8885,
"step": 15
},