diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,7359 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 200, + "global_step": 1215, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 2e-05, + "loss": 2.8335, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4e-05, + "loss": 2.752, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 6e-05, + "loss": 2.7803, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 8e-05, + "loss": 2.5798, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 0.0001, + "loss": 2.7038, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 0.00012, + "loss": 2.1478, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 0.00014, + "loss": 1.7468, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 0.00016, + "loss": 1.6426, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 0.00018, + "loss": 0.9787, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 0.0002, + "loss": 0.7736, + "step": 10 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999997902092877, + "loss": 0.5849, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999991608372393, + "loss": 0.4335, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999981118841182, + "loss": 0.3929, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 0.00019999966433503652, + "loss": 0.1443, + "step": 14 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019999947552365961, + "loss": 0.1243, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 0.0001999992447543603, + "loss": 0.4306, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019999897202723545, + "loss": 0.2558, + "step": 17 + }, + { + "epoch": 0.04, + "learning_rate": 0.00019999865734239946, + "loss": 0.1647, + "step": 18 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001999983006999844, + "loss": 0.191, + "step": 19 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019999790210013988, + "loss": 0.259, + "step": 20 + }, + { + "epoch": 0.05, + "learning_rate": 0.00019999746154303317, + "loss": 0.0401, + "step": 21 + }, + { + "epoch": 0.05, + "learning_rate": 0.0001999969790288491, + "loss": 0.0613, + "step": 22 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019999645455779014, + "loss": 0.2135, + "step": 23 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019999588813007633, + "loss": 0.0816, + "step": 24 + }, + { + "epoch": 0.06, + "learning_rate": 0.0001999952797459453, + "loss": 0.0543, + "step": 25 + }, + { + "epoch": 0.06, + "learning_rate": 0.00019999462940565243, + "loss": 0.1945, + "step": 26 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001999939371094705, + "loss": 0.0461, + "step": 27 + }, + { + "epoch": 0.07, + "learning_rate": 0.00019999320285769, + "loss": 0.1266, + "step": 28 + }, + { + "epoch": 0.07, + "learning_rate": 0.000199992426650619, + "loss": 0.0274, + "step": 29 + }, + { + "epoch": 0.07, + "learning_rate": 0.0001999916084885832, + "loss": 0.1039, + "step": 30 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019999074837192589, + "loss": 0.0169, + "step": 31 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019998984630100792, + "loss": 0.1045, + "step": 32 + }, + { + "epoch": 0.08, + "learning_rate": 0.00019998890227620783, + "loss": 0.0236, + "step": 33 + }, + { + "epoch": 0.08, + "learning_rate": 0.0001999879162979217, + "loss": 0.0125, + "step": 34 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019998688836656323, + "loss": 0.0317, + "step": 35 + }, + { + "epoch": 0.09, + "learning_rate": 0.0001999858184825637, + "loss": 0.0216, + "step": 36 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019998470664637203, + "loss": 0.0583, + "step": 37 + }, + { + "epoch": 0.09, + "learning_rate": 0.00019998355285845475, + "loss": 0.0534, + "step": 38 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999823571192959, + "loss": 0.1213, + "step": 39 + }, + { + "epoch": 0.1, + "learning_rate": 0.0001999811194293973, + "loss": 0.2095, + "step": 40 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019997983978927813, + "loss": 0.0122, + "step": 41 + }, + { + "epoch": 0.1, + "learning_rate": 0.00019997851819947537, + "loss": 0.2262, + "step": 42 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997715466054357, + "loss": 0.0329, + "step": 43 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997574917305478, + "loss": 0.0907, + "step": 44 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997430173759875, + "loss": 0.0111, + "step": 45 + }, + { + "epoch": 0.11, + "learning_rate": 0.00019997281235478278, + "loss": 0.1297, + "step": 46 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019997128102523183, + "loss": 0.0805, + "step": 47 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019996970774958836, + "loss": 0.0527, + "step": 48 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019996809252851251, + "loss": 0.0117, + "step": 49 + }, + { + "epoch": 0.12, + "learning_rate": 0.00019996643536268204, + "loss": 0.0287, + "step": 50 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001999647362527922, + "loss": 0.0106, + "step": 51 + }, + { + "epoch": 0.13, + "learning_rate": 0.0001999629951995559, + "loss": 0.0564, + "step": 52 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019996121220370374, + "loss": 0.0318, + "step": 53 + }, + { + "epoch": 0.13, + "learning_rate": 0.00019995938726598373, + "loss": 0.0829, + "step": 54 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019995752038716168, + "loss": 0.0564, + "step": 55 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019995561156802079, + "loss": 0.0852, + "step": 56 + }, + { + "epoch": 0.14, + "learning_rate": 0.00019995366080936204, + "loss": 0.0146, + "step": 57 + }, + { + "epoch": 0.14, + "learning_rate": 0.0001999516681120039, + "loss": 0.0446, + "step": 58 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019994963347678247, + "loss": 0.0103, + "step": 59 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019994755690455152, + "loss": 0.0147, + "step": 60 + }, + { + "epoch": 0.15, + "learning_rate": 0.00019994543839618221, + "loss": 0.0479, + "step": 61 + }, + { + "epoch": 0.15, + "learning_rate": 0.0001999432779525635, + "loss": 0.0028, + "step": 62 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001999410755746019, + "loss": 0.0316, + "step": 63 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001999388312632214, + "loss": 0.113, + "step": 64 + }, + { + "epoch": 0.16, + "learning_rate": 0.0001999365450193638, + "loss": 0.0148, + "step": 65 + }, + { + "epoch": 0.16, + "learning_rate": 0.00019993421684398824, + "loss": 0.0437, + "step": 66 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019993184673807162, + "loss": 0.0287, + "step": 67 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019992943470260844, + "loss": 0.0088, + "step": 68 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019992698073861064, + "loss": 0.0971, + "step": 69 + }, + { + "epoch": 0.17, + "learning_rate": 0.00019992448484710797, + "loss": 0.0557, + "step": 70 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001999219470291476, + "loss": 0.0609, + "step": 71 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019991936728579437, + "loss": 0.0033, + "step": 72 + }, + { + "epoch": 0.18, + "learning_rate": 0.0001999167456181307, + "loss": 0.0853, + "step": 73 + }, + { + "epoch": 0.18, + "learning_rate": 0.00019991408202725655, + "loss": 0.0019, + "step": 74 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019991137651428957, + "loss": 0.0121, + "step": 75 + }, + { + "epoch": 0.19, + "learning_rate": 0.0001999086290803649, + "loss": 0.016, + "step": 76 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019990583972663534, + "loss": 0.0014, + "step": 77 + }, + { + "epoch": 0.19, + "learning_rate": 0.00019990300845427125, + "loss": 0.1069, + "step": 78 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019990013526446056, + "loss": 0.0157, + "step": 79 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001998972201584088, + "loss": 0.0891, + "step": 80 + }, + { + "epoch": 0.2, + "learning_rate": 0.0001998942631373391, + "loss": 0.0495, + "step": 81 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019989126420249221, + "loss": 0.0441, + "step": 82 + }, + { + "epoch": 0.2, + "learning_rate": 0.00019988822335512637, + "loss": 0.079, + "step": 83 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019988514059651752, + "loss": 0.0699, + "step": 84 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001998820159279591, + "loss": 0.0009, + "step": 85 + }, + { + "epoch": 0.21, + "learning_rate": 0.00019987884935076213, + "loss": 0.0007, + "step": 86 + }, + { + "epoch": 0.21, + "learning_rate": 0.0001998756408662553, + "loss": 0.061, + "step": 87 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019987239047578482, + "loss": 0.0012, + "step": 88 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019986909818071446, + "loss": 0.0657, + "step": 89 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019986576398242566, + "loss": 0.0024, + "step": 90 + }, + { + "epoch": 0.22, + "learning_rate": 0.00019986238788231733, + "loss": 0.0411, + "step": 91 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019985896988180605, + "loss": 0.0813, + "step": 92 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019985550998232596, + "loss": 0.0013, + "step": 93 + }, + { + "epoch": 0.23, + "learning_rate": 0.00019985200818532875, + "loss": 0.1736, + "step": 94 + }, + { + "epoch": 0.23, + "learning_rate": 0.0001998484644922837, + "loss": 0.0006, + "step": 95 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001998448789046777, + "loss": 0.0013, + "step": 96 + }, + { + "epoch": 0.24, + "learning_rate": 0.0001998412514240152, + "loss": 0.0813, + "step": 97 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019983758205181822, + "loss": 0.0002, + "step": 98 + }, + { + "epoch": 0.24, + "learning_rate": 0.00019983387078962631, + "loss": 0.0006, + "step": 99 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019983011763899673, + "loss": 0.1275, + "step": 100 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019982632260150417, + "loss": 0.0737, + "step": 101 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019982248567874098, + "loss": 0.162, + "step": 102 + }, + { + "epoch": 0.25, + "learning_rate": 0.00019981860687231706, + "loss": 0.2331, + "step": 103 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019981468618385988, + "loss": 0.0005, + "step": 104 + }, + { + "epoch": 0.26, + "learning_rate": 0.0001998107236150145, + "loss": 0.001, + "step": 105 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019980671916744352, + "loss": 0.0136, + "step": 106 + }, + { + "epoch": 0.26, + "learning_rate": 0.00019980267284282717, + "loss": 0.1149, + "step": 107 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019979858464286317, + "loss": 0.1266, + "step": 108 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019979445456926688, + "loss": 0.0724, + "step": 109 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019979028262377118, + "loss": 0.1143, + "step": 110 + }, + { + "epoch": 0.27, + "learning_rate": 0.00019978606880812657, + "loss": 0.0084, + "step": 111 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019978181312410104, + "loss": 0.0657, + "step": 112 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019977751557348025, + "loss": 0.1512, + "step": 113 + }, + { + "epoch": 0.28, + "learning_rate": 0.00019977317615806737, + "loss": 0.0051, + "step": 114 + }, + { + "epoch": 0.28, + "learning_rate": 0.0001997687948796831, + "loss": 0.0093, + "step": 115 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019976437174016573, + "loss": 0.0067, + "step": 116 + }, + { + "epoch": 0.29, + "learning_rate": 0.0001997599067413712, + "loss": 0.0949, + "step": 117 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019975539988517288, + "loss": 0.0393, + "step": 118 + }, + { + "epoch": 0.29, + "learning_rate": 0.00019975085117346177, + "loss": 0.0364, + "step": 119 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019974626060814647, + "loss": 0.1306, + "step": 120 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019974162819115306, + "loss": 0.0019, + "step": 121 + }, + { + "epoch": 0.3, + "learning_rate": 0.0001997369539244252, + "loss": 0.0029, + "step": 122 + }, + { + "epoch": 0.3, + "learning_rate": 0.00019973223780992414, + "loss": 0.0159, + "step": 123 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001997274798496287, + "loss": 0.0019, + "step": 124 + }, + { + "epoch": 0.31, + "learning_rate": 0.0001997226800455352, + "loss": 0.0194, + "step": 125 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019971783839965756, + "loss": 0.0037, + "step": 126 + }, + { + "epoch": 0.31, + "learning_rate": 0.00019971295491402725, + "loss": 0.0442, + "step": 127 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019970802959069328, + "loss": 0.003, + "step": 128 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019970306243172222, + "loss": 0.0023, + "step": 129 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019969805343919821, + "loss": 0.0198, + "step": 130 + }, + { + "epoch": 0.32, + "learning_rate": 0.00019969300261522293, + "loss": 0.0025, + "step": 131 + }, + { + "epoch": 0.33, + "learning_rate": 0.0001996879099619156, + "loss": 0.0574, + "step": 132 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019968277548141302, + "loss": 0.0796, + "step": 133 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019967759917586953, + "loss": 0.0326, + "step": 134 + }, + { + "epoch": 0.33, + "learning_rate": 0.00019967238104745696, + "loss": 0.0021, + "step": 135 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019966712109836476, + "loss": 0.0008, + "step": 136 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019966181933079997, + "loss": 0.0943, + "step": 137 + }, + { + "epoch": 0.34, + "learning_rate": 0.000199656475746987, + "loss": 0.002, + "step": 138 + }, + { + "epoch": 0.34, + "learning_rate": 0.00019965109034916808, + "loss": 0.0451, + "step": 139 + }, + { + "epoch": 0.35, + "learning_rate": 0.00019964566313960264, + "loss": 0.0485, + "step": 140 + }, + { + "epoch": 0.35, + "learning_rate": 0.000199640194120568, + "loss": 0.0186, + "step": 141 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001996346832943587, + "loss": 0.0305, + "step": 142 + }, + { + "epoch": 0.35, + "learning_rate": 0.0001996291306632871, + "loss": 0.0625, + "step": 143 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019962353622968295, + "loss": 0.0183, + "step": 144 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019961789999589356, + "loss": 0.0043, + "step": 145 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019961222196428378, + "loss": 0.0493, + "step": 146 + }, + { + "epoch": 0.36, + "learning_rate": 0.00019960650213723602, + "loss": 0.1198, + "step": 147 + }, + { + "epoch": 0.37, + "learning_rate": 0.0001996007405171502, + "loss": 0.0005, + "step": 148 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019959493710644384, + "loss": 0.0006, + "step": 149 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019958909190755187, + "loss": 0.1201, + "step": 150 + }, + { + "epoch": 0.37, + "learning_rate": 0.00019958320492292686, + "loss": 0.0012, + "step": 151 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019957727615503888, + "loss": 0.0025, + "step": 152 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019957130560637552, + "loss": 0.1595, + "step": 153 + }, + { + "epoch": 0.38, + "learning_rate": 0.00019956529327944198, + "loss": 0.0003, + "step": 154 + }, + { + "epoch": 0.38, + "learning_rate": 0.0001995592391767608, + "loss": 0.0014, + "step": 155 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019955314330087225, + "loss": 0.1316, + "step": 156 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019954700565433405, + "loss": 0.0015, + "step": 157 + }, + { + "epoch": 0.39, + "learning_rate": 0.00019954082623972142, + "loss": 0.0015, + "step": 158 + }, + { + "epoch": 0.39, + "learning_rate": 0.0001995346050596271, + "loss": 0.0018, + "step": 159 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001995283421166614, + "loss": 0.0638, + "step": 160 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019952203741345218, + "loss": 0.0283, + "step": 161 + }, + { + "epoch": 0.4, + "learning_rate": 0.00019951569095264473, + "loss": 0.0005, + "step": 162 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001995093027369019, + "loss": 0.0013, + "step": 163 + }, + { + "epoch": 0.4, + "learning_rate": 0.0001995028727689041, + "loss": 0.0828, + "step": 164 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019949640105134918, + "loss": 0.0007, + "step": 165 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019948988758695263, + "loss": 0.0588, + "step": 166 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019948333237844733, + "loss": 0.0166, + "step": 167 + }, + { + "epoch": 0.41, + "learning_rate": 0.00019947673542858367, + "loss": 0.2658, + "step": 168 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019947009674012973, + "loss": 0.0063, + "step": 169 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019946341631587087, + "loss": 0.053, + "step": 170 + }, + { + "epoch": 0.42, + "learning_rate": 0.0001994566941586101, + "loss": 0.0007, + "step": 171 + }, + { + "epoch": 0.42, + "learning_rate": 0.00019944993027116797, + "loss": 0.0009, + "step": 172 + }, + { + "epoch": 0.43, + "learning_rate": 0.0001994431246563824, + "loss": 0.0003, + "step": 173 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019943627731710897, + "loss": 0.0008, + "step": 174 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019942938825622065, + "loss": 0.0834, + "step": 175 + }, + { + "epoch": 0.43, + "learning_rate": 0.00019942245747660796, + "loss": 0.0174, + "step": 176 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019941548498117896, + "loss": 0.0963, + "step": 177 + }, + { + "epoch": 0.44, + "learning_rate": 0.00019940847077285916, + "loss": 0.0361, + "step": 178 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001994014148545916, + "loss": 0.0408, + "step": 179 + }, + { + "epoch": 0.44, + "learning_rate": 0.0001993943172293368, + "loss": 0.0011, + "step": 180 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001993871779000728, + "loss": 0.0801, + "step": 181 + }, + { + "epoch": 0.45, + "learning_rate": 0.0001993799968697951, + "loss": 0.1176, + "step": 182 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019937277414151677, + "loss": 0.1212, + "step": 183 + }, + { + "epoch": 0.45, + "learning_rate": 0.00019936550971826834, + "loss": 0.0458, + "step": 184 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019935820360309777, + "loss": 0.0543, + "step": 185 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019935085579907063, + "loss": 0.0518, + "step": 186 + }, + { + "epoch": 0.46, + "learning_rate": 0.0001993434663092699, + "loss": 0.0015, + "step": 187 + }, + { + "epoch": 0.46, + "learning_rate": 0.00019933603513679605, + "loss": 0.0704, + "step": 188 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019932856228476706, + "loss": 0.0628, + "step": 189 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019932104775631846, + "loss": 0.0602, + "step": 190 + }, + { + "epoch": 0.47, + "learning_rate": 0.00019931349155460315, + "loss": 0.0025, + "step": 191 + }, + { + "epoch": 0.47, + "learning_rate": 0.0001993058936827916, + "loss": 0.0032, + "step": 192 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019929825414407172, + "loss": 0.1927, + "step": 193 + }, + { + "epoch": 0.48, + "learning_rate": 0.00019929057294164893, + "loss": 0.003, + "step": 194 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001992828500787461, + "loss": 0.0027, + "step": 195 + }, + { + "epoch": 0.48, + "learning_rate": 0.0001992750855586036, + "loss": 0.0225, + "step": 196 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019926727938447933, + "loss": 0.0018, + "step": 197 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019925943155964856, + "loss": 0.0019, + "step": 198 + }, + { + "epoch": 0.49, + "learning_rate": 0.0001992515420874041, + "loss": 0.0015, + "step": 199 + }, + { + "epoch": 0.49, + "learning_rate": 0.00019924361097105623, + "loss": 0.0411, + "step": 200 + }, + { + "epoch": 0.49, + "eval_loss": 0.02292541041970253, + "eval_runtime": 126.0288, + "eval_samples_per_second": 1.016, + "eval_steps_per_second": 0.341, + "step": 200 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001992356382139327, + "loss": 0.0512, + "step": 201 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019922762381937878, + "loss": 0.0013, + "step": 202 + }, + { + "epoch": 0.5, + "learning_rate": 0.00019921956779075708, + "loss": 0.0022, + "step": 203 + }, + { + "epoch": 0.5, + "learning_rate": 0.0001992114701314478, + "loss": 0.0513, + "step": 204 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019920333084484857, + "loss": 0.0621, + "step": 205 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019919514993437445, + "loss": 0.0032, + "step": 206 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019918692740345802, + "loss": 0.0048, + "step": 207 + }, + { + "epoch": 0.51, + "learning_rate": 0.00019917866325554938, + "loss": 0.001, + "step": 208 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019917035749411586, + "loss": 0.0006, + "step": 209 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019916201012264254, + "loss": 0.0666, + "step": 210 + }, + { + "epoch": 0.52, + "learning_rate": 0.00019915362114463172, + "loss": 0.049, + "step": 211 + }, + { + "epoch": 0.52, + "learning_rate": 0.0001991451905636033, + "loss": 0.0005, + "step": 212 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019913671838309464, + "loss": 0.0025, + "step": 213 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019912820460666044, + "loss": 0.0006, + "step": 214 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019911964923787295, + "loss": 0.062, + "step": 215 + }, + { + "epoch": 0.53, + "learning_rate": 0.00019911105228032186, + "loss": 0.0012, + "step": 216 + }, + { + "epoch": 0.54, + "learning_rate": 0.00019910241373761426, + "loss": 0.0817, + "step": 217 + }, + { + "epoch": 0.54, + "learning_rate": 0.00019909373361337476, + "loss": 0.0003, + "step": 218 + }, + { + "epoch": 0.54, + "learning_rate": 0.00019908501191124534, + "loss": 0.0002, + "step": 219 + }, + { + "epoch": 0.54, + "learning_rate": 0.0001990762486348855, + "loss": 0.0434, + "step": 220 + }, + { + "epoch": 0.55, + "learning_rate": 0.00019906744378797212, + "loss": 0.0994, + "step": 221 + }, + { + "epoch": 0.55, + "learning_rate": 0.00019905859737419956, + "loss": 0.0506, + "step": 222 + }, + { + "epoch": 0.55, + "learning_rate": 0.00019904970939727963, + "loss": 0.059, + "step": 223 + }, + { + "epoch": 0.55, + "learning_rate": 0.00019904077986094152, + "loss": 0.0042, + "step": 224 + }, + { + "epoch": 0.56, + "learning_rate": 0.00019903180876893194, + "loss": 0.0667, + "step": 225 + }, + { + "epoch": 0.56, + "learning_rate": 0.00019902279612501493, + "loss": 0.002, + "step": 226 + }, + { + "epoch": 0.56, + "learning_rate": 0.00019901374193297212, + "loss": 0.0003, + "step": 227 + }, + { + "epoch": 0.56, + "learning_rate": 0.0001990046461966024, + "loss": 0.0003, + "step": 228 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019899550891972222, + "loss": 0.0002, + "step": 229 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019898633010616542, + "loss": 0.0025, + "step": 230 + }, + { + "epoch": 0.57, + "learning_rate": 0.00019897710975978321, + "loss": 0.1237, + "step": 231 + }, + { + "epoch": 0.57, + "learning_rate": 0.0001989678478844443, + "loss": 0.0625, + "step": 232 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019895854448403482, + "loss": 0.0569, + "step": 233 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019894919956245824, + "loss": 0.001, + "step": 234 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019893981312363562, + "loss": 0.0846, + "step": 235 + }, + { + "epoch": 0.58, + "learning_rate": 0.00019893038517150525, + "loss": 0.0325, + "step": 236 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019892091571002297, + "loss": 0.0696, + "step": 237 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019891140474316194, + "loss": 0.0006, + "step": 238 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019890185227491283, + "loss": 0.0002, + "step": 239 + }, + { + "epoch": 0.59, + "learning_rate": 0.00019889225830928365, + "loss": 0.0002, + "step": 240 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019888262285029987, + "loss": 0.0008, + "step": 241 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019887294590200435, + "loss": 0.0013, + "step": 242 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019886322746845737, + "loss": 0.0006, + "step": 243 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019885346755373656, + "loss": 0.0004, + "step": 244 + }, + { + "epoch": 0.6, + "learning_rate": 0.00019884366616193706, + "loss": 0.0468, + "step": 245 + }, + { + "epoch": 0.61, + "learning_rate": 0.00019883382329717128, + "loss": 0.0017, + "step": 246 + }, + { + "epoch": 0.61, + "learning_rate": 0.00019882393896356913, + "loss": 0.0741, + "step": 247 + }, + { + "epoch": 0.61, + "learning_rate": 0.00019881401316527793, + "loss": 0.0004, + "step": 248 + }, + { + "epoch": 0.61, + "learning_rate": 0.00019880404590646232, + "loss": 0.1221, + "step": 249 + }, + { + "epoch": 0.62, + "learning_rate": 0.0001987940371913044, + "loss": 0.0582, + "step": 250 + }, + { + "epoch": 0.62, + "learning_rate": 0.00019878398702400364, + "loss": 0.0689, + "step": 251 + }, + { + "epoch": 0.62, + "learning_rate": 0.00019877389540877687, + "loss": 0.1289, + "step": 252 + }, + { + "epoch": 0.62, + "learning_rate": 0.0001987637623498584, + "loss": 0.0026, + "step": 253 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001987535878514998, + "loss": 0.0419, + "step": 254 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001987433719179702, + "loss": 0.001, + "step": 255 + }, + { + "epoch": 0.63, + "learning_rate": 0.0001987331145535559, + "loss": 0.0003, + "step": 256 + }, + { + "epoch": 0.63, + "learning_rate": 0.00019872281576256077, + "loss": 0.0004, + "step": 257 + }, + { + "epoch": 0.64, + "learning_rate": 0.000198712475549306, + "loss": 0.0006, + "step": 258 + }, + { + "epoch": 0.64, + "learning_rate": 0.00019870209391813012, + "loss": 0.0495, + "step": 259 + }, + { + "epoch": 0.64, + "learning_rate": 0.00019869167087338907, + "loss": 0.1258, + "step": 260 + }, + { + "epoch": 0.64, + "learning_rate": 0.0001986812064194562, + "loss": 0.0003, + "step": 261 + }, + { + "epoch": 0.65, + "learning_rate": 0.00019867070056072214, + "loss": 0.069, + "step": 262 + }, + { + "epoch": 0.65, + "learning_rate": 0.00019866015330159505, + "loss": 0.1022, + "step": 263 + }, + { + "epoch": 0.65, + "learning_rate": 0.00019864956464650025, + "loss": 0.0012, + "step": 264 + }, + { + "epoch": 0.65, + "learning_rate": 0.00019863893459988062, + "loss": 0.1075, + "step": 265 + }, + { + "epoch": 0.66, + "learning_rate": 0.00019862826316619628, + "loss": 0.0002, + "step": 266 + }, + { + "epoch": 0.66, + "learning_rate": 0.00019861755034992484, + "loss": 0.0004, + "step": 267 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001986067961555611, + "loss": 0.0006, + "step": 268 + }, + { + "epoch": 0.66, + "learning_rate": 0.0001985960005876174, + "loss": 0.0541, + "step": 269 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019858516365062334, + "loss": 0.1308, + "step": 270 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019857428534912587, + "loss": 0.0062, + "step": 271 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019856336568768935, + "loss": 0.0382, + "step": 272 + }, + { + "epoch": 0.67, + "learning_rate": 0.00019855240467089543, + "loss": 0.0003, + "step": 273 + }, + { + "epoch": 0.68, + "learning_rate": 0.00019854140230334322, + "loss": 0.0043, + "step": 274 + }, + { + "epoch": 0.68, + "learning_rate": 0.00019853035858964906, + "loss": 0.0373, + "step": 275 + }, + { + "epoch": 0.68, + "learning_rate": 0.0001985192735344467, + "loss": 0.0516, + "step": 276 + }, + { + "epoch": 0.68, + "learning_rate": 0.00019850814714238716, + "loss": 0.0004, + "step": 277 + }, + { + "epoch": 0.69, + "learning_rate": 0.00019849697941813898, + "loss": 0.1028, + "step": 278 + }, + { + "epoch": 0.69, + "learning_rate": 0.00019848577036638788, + "loss": 0.2622, + "step": 279 + }, + { + "epoch": 0.69, + "learning_rate": 0.00019847451999183694, + "loss": 0.0004, + "step": 280 + }, + { + "epoch": 0.69, + "learning_rate": 0.00019846322829920662, + "loss": 0.0006, + "step": 281 + }, + { + "epoch": 0.7, + "learning_rate": 0.00019845189529323475, + "loss": 0.1482, + "step": 282 + }, + { + "epoch": 0.7, + "learning_rate": 0.00019844052097867638, + "loss": 0.038, + "step": 283 + }, + { + "epoch": 0.7, + "learning_rate": 0.00019842910536030403, + "loss": 0.0107, + "step": 284 + }, + { + "epoch": 0.7, + "learning_rate": 0.00019841764844290744, + "loss": 0.035, + "step": 285 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019840615023129372, + "loss": 0.035, + "step": 286 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019839461073028732, + "loss": 0.0033, + "step": 287 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019838302994472997, + "loss": 0.0442, + "step": 288 + }, + { + "epoch": 0.71, + "learning_rate": 0.00019837140787948082, + "loss": 0.0135, + "step": 289 + }, + { + "epoch": 0.72, + "learning_rate": 0.0001983597445394162, + "loss": 0.0014, + "step": 290 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019834803992942987, + "loss": 0.1629, + "step": 291 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019833629405443284, + "loss": 0.0867, + "step": 292 + }, + { + "epoch": 0.72, + "learning_rate": 0.00019832450691935352, + "loss": 0.0388, + "step": 293 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001983126785291375, + "loss": 0.0014, + "step": 294 + }, + { + "epoch": 0.73, + "learning_rate": 0.00019830080888874778, + "loss": 0.0028, + "step": 295 + }, + { + "epoch": 0.73, + "learning_rate": 0.00019828889800316466, + "loss": 0.1433, + "step": 296 + }, + { + "epoch": 0.73, + "learning_rate": 0.0001982769458773857, + "loss": 0.1458, + "step": 297 + }, + { + "epoch": 0.74, + "learning_rate": 0.00019826495251642578, + "loss": 0.0005, + "step": 298 + }, + { + "epoch": 0.74, + "learning_rate": 0.00019825291792531716, + "loss": 0.0114, + "step": 299 + }, + { + "epoch": 0.74, + "learning_rate": 0.00019824084210910925, + "loss": 0.0508, + "step": 300 + }, + { + "epoch": 0.74, + "learning_rate": 0.0001982287250728689, + "loss": 0.0006, + "step": 301 + }, + { + "epoch": 0.75, + "learning_rate": 0.00019821656682168012, + "loss": 0.0377, + "step": 302 + }, + { + "epoch": 0.75, + "learning_rate": 0.00019820436736064435, + "loss": 0.0383, + "step": 303 + }, + { + "epoch": 0.75, + "learning_rate": 0.00019819212669488026, + "loss": 0.0052, + "step": 304 + }, + { + "epoch": 0.75, + "learning_rate": 0.00019817984482952376, + "loss": 0.0008, + "step": 305 + }, + { + "epoch": 0.76, + "learning_rate": 0.00019816752176972813, + "loss": 0.0619, + "step": 306 + }, + { + "epoch": 0.76, + "learning_rate": 0.00019815515752066387, + "loss": 0.0866, + "step": 307 + }, + { + "epoch": 0.76, + "learning_rate": 0.0001981427520875188, + "loss": 0.002, + "step": 308 + }, + { + "epoch": 0.76, + "learning_rate": 0.00019813030547549803, + "loss": 0.0405, + "step": 309 + }, + { + "epoch": 0.77, + "learning_rate": 0.0001981178176898239, + "loss": 0.0656, + "step": 310 + }, + { + "epoch": 0.77, + "learning_rate": 0.00019810528873573607, + "loss": 0.0043, + "step": 311 + }, + { + "epoch": 0.77, + "learning_rate": 0.00019809271861849145, + "loss": 0.0045, + "step": 312 + }, + { + "epoch": 0.77, + "learning_rate": 0.00019808010734336423, + "loss": 0.0021, + "step": 313 + }, + { + "epoch": 0.78, + "learning_rate": 0.00019806745491564586, + "loss": 0.001, + "step": 314 + }, + { + "epoch": 0.78, + "learning_rate": 0.00019805476134064507, + "loss": 0.09, + "step": 315 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001980420266236878, + "loss": 0.0011, + "step": 316 + }, + { + "epoch": 0.78, + "learning_rate": 0.0001980292507701174, + "loss": 0.0013, + "step": 317 + }, + { + "epoch": 0.79, + "learning_rate": 0.0001980164337852943, + "loss": 0.0007, + "step": 318 + }, + { + "epoch": 0.79, + "learning_rate": 0.00019800357567459633, + "loss": 0.1487, + "step": 319 + }, + { + "epoch": 0.79, + "learning_rate": 0.00019799067644341844, + "loss": 0.098, + "step": 320 + }, + { + "epoch": 0.79, + "learning_rate": 0.00019797773609717297, + "loss": 0.0006, + "step": 321 + }, + { + "epoch": 0.8, + "learning_rate": 0.00019796475464128942, + "loss": 0.0469, + "step": 322 + }, + { + "epoch": 0.8, + "learning_rate": 0.00019795173208121458, + "loss": 0.0003, + "step": 323 + }, + { + "epoch": 0.8, + "learning_rate": 0.00019793866842241243, + "loss": 0.0424, + "step": 324 + }, + { + "epoch": 0.8, + "learning_rate": 0.00019792556367036432, + "loss": 0.0003, + "step": 325 + }, + { + "epoch": 0.8, + "learning_rate": 0.00019791241783056874, + "loss": 0.0003, + "step": 326 + }, + { + "epoch": 0.81, + "learning_rate": 0.00019789923090854136, + "loss": 0.0243, + "step": 327 + }, + { + "epoch": 0.81, + "learning_rate": 0.00019788600290981525, + "loss": 0.0383, + "step": 328 + }, + { + "epoch": 0.81, + "learning_rate": 0.00019787273383994062, + "loss": 0.0005, + "step": 329 + }, + { + "epoch": 0.81, + "learning_rate": 0.0001978594237044849, + "loss": 0.0329, + "step": 330 + }, + { + "epoch": 0.82, + "learning_rate": 0.00019784607250903277, + "loss": 0.0013, + "step": 331 + }, + { + "epoch": 0.82, + "learning_rate": 0.0001978326802591862, + "loss": 0.0363, + "step": 332 + }, + { + "epoch": 0.82, + "learning_rate": 0.00019781924696056426, + "loss": 0.1015, + "step": 333 + }, + { + "epoch": 0.82, + "learning_rate": 0.00019780577261880336, + "loss": 0.0383, + "step": 334 + }, + { + "epoch": 0.83, + "learning_rate": 0.00019779225723955707, + "loss": 0.001, + "step": 335 + }, + { + "epoch": 0.83, + "learning_rate": 0.0001977787008284962, + "loss": 0.0498, + "step": 336 + }, + { + "epoch": 0.83, + "learning_rate": 0.00019776510339130873, + "loss": 0.095, + "step": 337 + }, + { + "epoch": 0.83, + "learning_rate": 0.00019775146493369994, + "loss": 0.0004, + "step": 338 + }, + { + "epoch": 0.84, + "learning_rate": 0.00019773778546139227, + "loss": 0.0002, + "step": 339 + }, + { + "epoch": 0.84, + "learning_rate": 0.0001977240649801253, + "loss": 0.0003, + "step": 340 + }, + { + "epoch": 0.84, + "learning_rate": 0.000197710303495656, + "loss": 0.0011, + "step": 341 + }, + { + "epoch": 0.84, + "learning_rate": 0.00019769650101375837, + "loss": 0.0017, + "step": 342 + }, + { + "epoch": 0.85, + "learning_rate": 0.00019768265754022365, + "loss": 0.0576, + "step": 343 + }, + { + "epoch": 0.85, + "learning_rate": 0.00019766877308086036, + "loss": 0.0002, + "step": 344 + }, + { + "epoch": 0.85, + "learning_rate": 0.00019765484764149415, + "loss": 0.0175, + "step": 345 + }, + { + "epoch": 0.85, + "learning_rate": 0.00019764088122796783, + "loss": 0.0002, + "step": 346 + }, + { + "epoch": 0.86, + "learning_rate": 0.0001976268738461415, + "loss": 0.0008, + "step": 347 + }, + { + "epoch": 0.86, + "learning_rate": 0.0001976128255018924, + "loss": 0.0006, + "step": 348 + }, + { + "epoch": 0.86, + "learning_rate": 0.0001975987362011149, + "loss": 0.1749, + "step": 349 + }, + { + "epoch": 0.86, + "learning_rate": 0.00019758460594972068, + "loss": 0.0748, + "step": 350 + }, + { + "epoch": 0.87, + "learning_rate": 0.00019757043475363847, + "loss": 0.0698, + "step": 351 + }, + { + "epoch": 0.87, + "learning_rate": 0.00019755622261881427, + "loss": 0.0002, + "step": 352 + }, + { + "epoch": 0.87, + "learning_rate": 0.00019754196955121123, + "loss": 0.0004, + "step": 353 + }, + { + "epoch": 0.87, + "learning_rate": 0.00019752767555680968, + "loss": 0.0491, + "step": 354 + }, + { + "epoch": 0.88, + "learning_rate": 0.00019751334064160706, + "loss": 0.0708, + "step": 355 + }, + { + "epoch": 0.88, + "learning_rate": 0.00019749896481161808, + "loss": 0.0673, + "step": 356 + }, + { + "epoch": 0.88, + "learning_rate": 0.00019748454807287457, + "loss": 0.0002, + "step": 357 + }, + { + "epoch": 0.88, + "learning_rate": 0.00019747009043142555, + "loss": 0.0689, + "step": 358 + }, + { + "epoch": 0.89, + "learning_rate": 0.0001974555918933371, + "loss": 0.001, + "step": 359 + }, + { + "epoch": 0.89, + "learning_rate": 0.00019744105246469263, + "loss": 0.0496, + "step": 360 + }, + { + "epoch": 0.89, + "learning_rate": 0.00019742647215159254, + "loss": 0.0034, + "step": 361 + }, + { + "epoch": 0.89, + "learning_rate": 0.00019741185096015448, + "loss": 0.0498, + "step": 362 + }, + { + "epoch": 0.9, + "learning_rate": 0.00019739718889651327, + "loss": 0.02, + "step": 363 + }, + { + "epoch": 0.9, + "learning_rate": 0.00019738248596682078, + "loss": 0.0358, + "step": 364 + }, + { + "epoch": 0.9, + "learning_rate": 0.00019736774217724614, + "loss": 0.0929, + "step": 365 + }, + { + "epoch": 0.9, + "learning_rate": 0.0001973529575339755, + "loss": 0.0001, + "step": 366 + }, + { + "epoch": 0.91, + "learning_rate": 0.00019733813204321233, + "loss": 0.0018, + "step": 367 + }, + { + "epoch": 0.91, + "learning_rate": 0.00019732326571117703, + "loss": 0.0017, + "step": 368 + }, + { + "epoch": 0.91, + "learning_rate": 0.00019730835854410726, + "loss": 0.0001, + "step": 369 + }, + { + "epoch": 0.91, + "learning_rate": 0.00019729341054825782, + "loss": 0.0688, + "step": 370 + }, + { + "epoch": 0.92, + "learning_rate": 0.0001972784217299006, + "loss": 0.0004, + "step": 371 + }, + { + "epoch": 0.92, + "learning_rate": 0.00019726339209532462, + "loss": 0.0652, + "step": 372 + }, + { + "epoch": 0.92, + "learning_rate": 0.00019724832165083603, + "loss": 0.002, + "step": 373 + }, + { + "epoch": 0.92, + "learning_rate": 0.00019723321040275815, + "loss": 0.0565, + "step": 374 + }, + { + "epoch": 0.93, + "learning_rate": 0.00019721805835743134, + "loss": 0.0345, + "step": 375 + }, + { + "epoch": 0.93, + "learning_rate": 0.0001972028655212131, + "loss": 0.0005, + "step": 376 + }, + { + "epoch": 0.93, + "learning_rate": 0.00019718763190047808, + "loss": 0.0726, + "step": 377 + }, + { + "epoch": 0.93, + "learning_rate": 0.00019717235750161806, + "loss": 0.08, + "step": 378 + }, + { + "epoch": 0.94, + "learning_rate": 0.00019715704233104185, + "loss": 0.0486, + "step": 379 + }, + { + "epoch": 0.94, + "learning_rate": 0.00019714168639517544, + "loss": 0.0006, + "step": 380 + }, + { + "epoch": 0.94, + "learning_rate": 0.00019712628970046189, + "loss": 0.0001, + "step": 381 + }, + { + "epoch": 0.94, + "learning_rate": 0.00019711085225336132, + "loss": 0.0653, + "step": 382 + }, + { + "epoch": 0.95, + "learning_rate": 0.00019709537406035105, + "loss": 0.1022, + "step": 383 + }, + { + "epoch": 0.95, + "learning_rate": 0.00019707985512792543, + "loss": 0.0005, + "step": 384 + }, + { + "epoch": 0.95, + "learning_rate": 0.00019706429546259593, + "loss": 0.0345, + "step": 385 + }, + { + "epoch": 0.95, + "learning_rate": 0.00019704869507089105, + "loss": 0.0003, + "step": 386 + }, + { + "epoch": 0.96, + "learning_rate": 0.00019703305395935648, + "loss": 0.0231, + "step": 387 + }, + { + "epoch": 0.96, + "learning_rate": 0.0001970173721345549, + "loss": 0.2725, + "step": 388 + }, + { + "epoch": 0.96, + "learning_rate": 0.00019700164960306614, + "loss": 0.0806, + "step": 389 + }, + { + "epoch": 0.96, + "learning_rate": 0.00019698588637148703, + "loss": 0.086, + "step": 390 + }, + { + "epoch": 0.97, + "learning_rate": 0.0001969700824464316, + "loss": 0.0044, + "step": 391 + }, + { + "epoch": 0.97, + "learning_rate": 0.00019695423783453088, + "loss": 0.0033, + "step": 392 + }, + { + "epoch": 0.97, + "learning_rate": 0.00019693835254243287, + "loss": 0.0028, + "step": 393 + }, + { + "epoch": 0.97, + "learning_rate": 0.00019692242657680286, + "loss": 0.0513, + "step": 394 + }, + { + "epoch": 0.98, + "learning_rate": 0.00019690645994432305, + "loss": 0.0038, + "step": 395 + }, + { + "epoch": 0.98, + "learning_rate": 0.00019689045265169273, + "loss": 0.0032, + "step": 396 + }, + { + "epoch": 0.98, + "learning_rate": 0.0001968744047056283, + "loss": 0.0026, + "step": 397 + }, + { + "epoch": 0.98, + "learning_rate": 0.0001968583161128631, + "loss": 0.0099, + "step": 398 + }, + { + "epoch": 0.99, + "learning_rate": 0.00019684218688014772, + "loss": 0.0675, + "step": 399 + }, + { + "epoch": 0.99, + "learning_rate": 0.0001968260170142496, + "loss": 0.0425, + "step": 400 + }, + { + "epoch": 0.99, + "eval_loss": 0.019980641081929207, + "eval_runtime": 126.04, + "eval_samples_per_second": 1.016, + "eval_steps_per_second": 0.341, + "step": 400 + }, + { + "epoch": 0.99, + "learning_rate": 0.00019680980652195333, + "loss": 0.0016, + "step": 401 + }, + { + "epoch": 0.99, + "learning_rate": 0.00019679355541006054, + "loss": 0.0017, + "step": 402 + }, + { + "epoch": 1.0, + "learning_rate": 0.0001967772636853899, + "loss": 0.0009, + "step": 403 + }, + { + "epoch": 1.0, + "learning_rate": 0.00019676093135477713, + "loss": 0.095, + "step": 404 + }, + { + "epoch": 1.0, + "learning_rate": 0.00019674455842507492, + "loss": 0.0646, + "step": 405 + }, + { + "epoch": 1.0, + "learning_rate": 0.0001967281449031531, + "loss": 0.0014, + "step": 406 + }, + { + "epoch": 1.0, + "learning_rate": 0.00019671169079589848, + "loss": 0.001, + "step": 407 + }, + { + "epoch": 1.01, + "learning_rate": 0.00019669519611021486, + "loss": 0.0223, + "step": 408 + }, + { + "epoch": 1.01, + "learning_rate": 0.00019667866085302312, + "loss": 0.0006, + "step": 409 + }, + { + "epoch": 1.01, + "learning_rate": 0.00019666208503126112, + "loss": 0.0609, + "step": 410 + }, + { + "epoch": 1.01, + "learning_rate": 0.00019664546865188386, + "loss": 0.1217, + "step": 411 + }, + { + "epoch": 1.02, + "learning_rate": 0.00019662881172186313, + "loss": 0.0006, + "step": 412 + }, + { + "epoch": 1.02, + "learning_rate": 0.00019661211424818798, + "loss": 0.0005, + "step": 413 + }, + { + "epoch": 1.02, + "learning_rate": 0.00019659537623786428, + "loss": 0.0518, + "step": 414 + }, + { + "epoch": 1.02, + "learning_rate": 0.00019657859769791505, + "loss": 0.0364, + "step": 415 + }, + { + "epoch": 1.03, + "learning_rate": 0.00019656177863538026, + "loss": 0.0003, + "step": 416 + }, + { + "epoch": 1.03, + "learning_rate": 0.0001965449190573168, + "loss": 0.0604, + "step": 417 + }, + { + "epoch": 1.03, + "learning_rate": 0.00019652801897079869, + "loss": 0.0569, + "step": 418 + }, + { + "epoch": 1.03, + "learning_rate": 0.0001965110783829169, + "loss": 0.0875, + "step": 419 + }, + { + "epoch": 1.04, + "learning_rate": 0.00019649409730077935, + "loss": 0.0554, + "step": 420 + }, + { + "epoch": 1.04, + "learning_rate": 0.00019647707573151098, + "loss": 0.0004, + "step": 421 + }, + { + "epoch": 1.04, + "learning_rate": 0.00019646001368225382, + "loss": 0.035, + "step": 422 + }, + { + "epoch": 1.04, + "learning_rate": 0.00019644291116016667, + "loss": 0.0007, + "step": 423 + }, + { + "epoch": 1.05, + "learning_rate": 0.0001964257681724255, + "loss": 0.0064, + "step": 424 + }, + { + "epoch": 1.05, + "learning_rate": 0.00019640858472622316, + "loss": 0.0008, + "step": 425 + }, + { + "epoch": 1.05, + "learning_rate": 0.00019639136082876953, + "loss": 0.0009, + "step": 426 + }, + { + "epoch": 1.05, + "learning_rate": 0.0001963740964872914, + "loss": 0.0027, + "step": 427 + }, + { + "epoch": 1.06, + "learning_rate": 0.00019635679170903258, + "loss": 0.0356, + "step": 428 + }, + { + "epoch": 1.06, + "learning_rate": 0.00019633944650125388, + "loss": 0.0013, + "step": 429 + }, + { + "epoch": 1.06, + "learning_rate": 0.00019632206087123296, + "loss": 0.0179, + "step": 430 + }, + { + "epoch": 1.06, + "learning_rate": 0.00019630463482626454, + "loss": 0.0477, + "step": 431 + }, + { + "epoch": 1.07, + "learning_rate": 0.00019628716837366027, + "loss": 0.0004, + "step": 432 + }, + { + "epoch": 1.07, + "learning_rate": 0.00019626966152074874, + "loss": 0.0795, + "step": 433 + }, + { + "epoch": 1.07, + "learning_rate": 0.00019625211427487548, + "loss": 0.1192, + "step": 434 + }, + { + "epoch": 1.07, + "learning_rate": 0.00019623452664340306, + "loss": 0.0606, + "step": 435 + }, + { + "epoch": 1.08, + "learning_rate": 0.00019621689863371083, + "loss": 0.0004, + "step": 436 + }, + { + "epoch": 1.08, + "learning_rate": 0.0001961992302531952, + "loss": 0.1189, + "step": 437 + }, + { + "epoch": 1.08, + "learning_rate": 0.00019618152150926955, + "loss": 0.0015, + "step": 438 + }, + { + "epoch": 1.08, + "learning_rate": 0.00019616377240936407, + "loss": 0.0004, + "step": 439 + }, + { + "epoch": 1.09, + "learning_rate": 0.000196145982960926, + "loss": 0.0004, + "step": 440 + }, + { + "epoch": 1.09, + "learning_rate": 0.00019612815317141945, + "loss": 0.0003, + "step": 441 + }, + { + "epoch": 1.09, + "learning_rate": 0.00019611028304832546, + "loss": 0.0003, + "step": 442 + }, + { + "epoch": 1.09, + "learning_rate": 0.000196092372599142, + "loss": 0.0153, + "step": 443 + }, + { + "epoch": 1.1, + "learning_rate": 0.000196074421831384, + "loss": 0.0725, + "step": 444 + }, + { + "epoch": 1.1, + "learning_rate": 0.00019605643075258321, + "loss": 0.0005, + "step": 445 + }, + { + "epoch": 1.1, + "learning_rate": 0.00019603839937028838, + "loss": 0.0005, + "step": 446 + }, + { + "epoch": 1.1, + "learning_rate": 0.00019602032769206517, + "loss": 0.0003, + "step": 447 + }, + { + "epoch": 1.11, + "learning_rate": 0.00019600221572549606, + "loss": 0.0416, + "step": 448 + }, + { + "epoch": 1.11, + "learning_rate": 0.00019598406347818054, + "loss": 0.0712, + "step": 449 + }, + { + "epoch": 1.11, + "learning_rate": 0.00019596587095773495, + "loss": 0.0005, + "step": 450 + }, + { + "epoch": 1.11, + "learning_rate": 0.00019594763817179254, + "loss": 0.0095, + "step": 451 + }, + { + "epoch": 1.12, + "learning_rate": 0.00019592936512800342, + "loss": 0.0294, + "step": 452 + }, + { + "epoch": 1.12, + "learning_rate": 0.00019591105183403462, + "loss": 0.0164, + "step": 453 + }, + { + "epoch": 1.12, + "learning_rate": 0.00019589269829757008, + "loss": 0.0021, + "step": 454 + }, + { + "epoch": 1.12, + "learning_rate": 0.0001958743045263106, + "loss": 0.0017, + "step": 455 + }, + { + "epoch": 1.13, + "learning_rate": 0.00019585587052797389, + "loss": 0.0439, + "step": 456 + }, + { + "epoch": 1.13, + "learning_rate": 0.00019583739631029445, + "loss": 0.0014, + "step": 457 + }, + { + "epoch": 1.13, + "learning_rate": 0.00019581888188102375, + "loss": 0.0944, + "step": 458 + }, + { + "epoch": 1.13, + "learning_rate": 0.0001958003272479301, + "loss": 0.0444, + "step": 459 + }, + { + "epoch": 1.14, + "learning_rate": 0.00019578173241879872, + "loss": 0.0063, + "step": 460 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001957630974014316, + "loss": 0.0054, + "step": 461 + }, + { + "epoch": 1.14, + "learning_rate": 0.00019574442220364767, + "loss": 0.0567, + "step": 462 + }, + { + "epoch": 1.14, + "learning_rate": 0.0001957257068332827, + "loss": 0.0019, + "step": 463 + }, + { + "epoch": 1.15, + "learning_rate": 0.00019570695129818926, + "loss": 0.0355, + "step": 464 + }, + { + "epoch": 1.15, + "learning_rate": 0.0001956881556062369, + "loss": 0.0891, + "step": 465 + }, + { + "epoch": 1.15, + "learning_rate": 0.0001956693197653119, + "loss": 0.0026, + "step": 466 + }, + { + "epoch": 1.15, + "learning_rate": 0.00019565044378331745, + "loss": 0.0609, + "step": 467 + }, + { + "epoch": 1.16, + "learning_rate": 0.00019563152766817354, + "loss": 0.1015, + "step": 468 + }, + { + "epoch": 1.16, + "learning_rate": 0.00019561257142781705, + "loss": 0.0434, + "step": 469 + }, + { + "epoch": 1.16, + "learning_rate": 0.00019559357507020162, + "loss": 0.0016, + "step": 470 + }, + { + "epoch": 1.16, + "learning_rate": 0.0001955745386032978, + "loss": 0.0339, + "step": 471 + }, + { + "epoch": 1.17, + "learning_rate": 0.00019555546203509297, + "loss": 0.0305, + "step": 472 + }, + { + "epoch": 1.17, + "learning_rate": 0.00019553634537359122, + "loss": 0.0003, + "step": 473 + }, + { + "epoch": 1.17, + "learning_rate": 0.00019551718862681364, + "loss": 0.001, + "step": 474 + }, + { + "epoch": 1.17, + "learning_rate": 0.00019549799180279792, + "loss": 0.0016, + "step": 475 + }, + { + "epoch": 1.18, + "learning_rate": 0.00019547875490959885, + "loss": 0.0265, + "step": 476 + }, + { + "epoch": 1.18, + "learning_rate": 0.00019545947795528777, + "loss": 0.0248, + "step": 477 + }, + { + "epoch": 1.18, + "learning_rate": 0.00019544016094795295, + "loss": 0.0443, + "step": 478 + }, + { + "epoch": 1.18, + "learning_rate": 0.00019542080389569946, + "loss": 0.0005, + "step": 479 + }, + { + "epoch": 1.19, + "learning_rate": 0.00019540140680664913, + "loss": 0.0005, + "step": 480 + }, + { + "epoch": 1.19, + "learning_rate": 0.00019538196968894067, + "loss": 0.0001, + "step": 481 + }, + { + "epoch": 1.19, + "learning_rate": 0.00019536249255072948, + "loss": 0.0002, + "step": 482 + }, + { + "epoch": 1.19, + "learning_rate": 0.00019534297540018785, + "loss": 0.0002, + "step": 483 + }, + { + "epoch": 1.2, + "learning_rate": 0.00019532341824550479, + "loss": 0.0526, + "step": 484 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001953038210948861, + "loss": 0.0002, + "step": 485 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001952841839565544, + "loss": 0.0631, + "step": 486 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001952645068387491, + "loss": 0.0252, + "step": 487 + }, + { + "epoch": 1.2, + "learning_rate": 0.0001952447897497263, + "loss": 0.0002, + "step": 488 + }, + { + "epoch": 1.21, + "learning_rate": 0.00019522503269775899, + "loss": 0.056, + "step": 489 + }, + { + "epoch": 1.21, + "learning_rate": 0.00019520523569113677, + "loss": 0.0001, + "step": 490 + }, + { + "epoch": 1.21, + "learning_rate": 0.00019518539873816617, + "loss": 0.0591, + "step": 491 + }, + { + "epoch": 1.21, + "learning_rate": 0.00019516552184717037, + "loss": 0.0257, + "step": 492 + }, + { + "epoch": 1.22, + "learning_rate": 0.00019514560502648936, + "loss": 0.0989, + "step": 493 + }, + { + "epoch": 1.22, + "learning_rate": 0.00019512564828447988, + "loss": 0.0679, + "step": 494 + }, + { + "epoch": 1.22, + "learning_rate": 0.00019510565162951537, + "loss": 0.0002, + "step": 495 + }, + { + "epoch": 1.22, + "learning_rate": 0.0001950856150699861, + "loss": 0.0662, + "step": 496 + }, + { + "epoch": 1.23, + "learning_rate": 0.00019506553861429898, + "loss": 0.0004, + "step": 497 + }, + { + "epoch": 1.23, + "learning_rate": 0.0001950454222708778, + "loss": 0.0464, + "step": 498 + }, + { + "epoch": 1.23, + "learning_rate": 0.00019502526604816295, + "loss": 0.0657, + "step": 499 + }, + { + "epoch": 1.23, + "learning_rate": 0.0001950050699546116, + "loss": 0.0001, + "step": 500 + }, + { + "epoch": 1.24, + "learning_rate": 0.00019498483399869767, + "loss": 0.0327, + "step": 501 + }, + { + "epoch": 1.24, + "learning_rate": 0.0001949645581889118, + "loss": 0.0701, + "step": 502 + }, + { + "epoch": 1.24, + "learning_rate": 0.00019494424253376134, + "loss": 0.0003, + "step": 503 + }, + { + "epoch": 1.24, + "learning_rate": 0.00019492388704177036, + "loss": 0.0001, + "step": 504 + }, + { + "epoch": 1.25, + "learning_rate": 0.00019490349172147963, + "loss": 0.0002, + "step": 505 + }, + { + "epoch": 1.25, + "learning_rate": 0.00019488305658144667, + "loss": 0.0633, + "step": 506 + }, + { + "epoch": 1.25, + "learning_rate": 0.00019486258163024567, + "loss": 0.0066, + "step": 507 + }, + { + "epoch": 1.25, + "learning_rate": 0.00019484206687646753, + "loss": 0.0001, + "step": 508 + }, + { + "epoch": 1.26, + "learning_rate": 0.0001948215123287199, + "loss": 0.0001, + "step": 509 + }, + { + "epoch": 1.26, + "learning_rate": 0.00019480091799562704, + "loss": 0.003, + "step": 510 + }, + { + "epoch": 1.26, + "learning_rate": 0.00019478028388583, + "loss": 0.0005, + "step": 511 + }, + { + "epoch": 1.26, + "learning_rate": 0.00019475961000798645, + "loss": 0.0002, + "step": 512 + }, + { + "epoch": 1.27, + "learning_rate": 0.00019473889637077073, + "loss": 0.0002, + "step": 513 + }, + { + "epoch": 1.27, + "learning_rate": 0.0001947181429828739, + "loss": 0.0594, + "step": 514 + }, + { + "epoch": 1.27, + "learning_rate": 0.00019469734985300371, + "loss": 0.0003, + "step": 515 + }, + { + "epoch": 1.27, + "learning_rate": 0.00019467651698988462, + "loss": 0.0012, + "step": 516 + }, + { + "epoch": 1.28, + "learning_rate": 0.00019465564440225767, + "loss": 0.0003, + "step": 517 + }, + { + "epoch": 1.28, + "learning_rate": 0.0001946347320988806, + "loss": 0.0001, + "step": 518 + }, + { + "epoch": 1.28, + "learning_rate": 0.00019461378008852785, + "loss": 0.0029, + "step": 519 + }, + { + "epoch": 1.28, + "learning_rate": 0.00019459278837999046, + "loss": 0.0017, + "step": 520 + }, + { + "epoch": 1.29, + "learning_rate": 0.0001945717569820762, + "loss": 0.009, + "step": 521 + }, + { + "epoch": 1.29, + "learning_rate": 0.00019455068590360942, + "loss": 0.0014, + "step": 522 + }, + { + "epoch": 1.29, + "learning_rate": 0.00019452957515343118, + "loss": 0.0007, + "step": 523 + }, + { + "epoch": 1.29, + "learning_rate": 0.00019450842474039913, + "loss": 0.0011, + "step": 524 + }, + { + "epoch": 1.3, + "learning_rate": 0.00019448723467338763, + "loss": 0.0279, + "step": 525 + }, + { + "epoch": 1.3, + "learning_rate": 0.00019446600496128758, + "loss": 0.0443, + "step": 526 + }, + { + "epoch": 1.3, + "learning_rate": 0.00019444473561300668, + "loss": 0.0261, + "step": 527 + }, + { + "epoch": 1.3, + "learning_rate": 0.00019442342663746902, + "loss": 0.06, + "step": 528 + }, + { + "epoch": 1.31, + "learning_rate": 0.00019440207804361553, + "loss": 0.0002, + "step": 529 + }, + { + "epoch": 1.31, + "learning_rate": 0.00019438068984040365, + "loss": 0.0514, + "step": 530 + }, + { + "epoch": 1.31, + "learning_rate": 0.0001943592620368075, + "loss": 0.0004, + "step": 531 + }, + { + "epoch": 1.31, + "learning_rate": 0.00019433779464181778, + "loss": 0.0593, + "step": 532 + }, + { + "epoch": 1.32, + "learning_rate": 0.00019431628766444182, + "loss": 0.0122, + "step": 533 + }, + { + "epoch": 1.32, + "learning_rate": 0.00019429474111370352, + "loss": 0.0393, + "step": 534 + }, + { + "epoch": 1.32, + "learning_rate": 0.00019427315499864344, + "loss": 0.062, + "step": 535 + }, + { + "epoch": 1.32, + "learning_rate": 0.0001942515293283187, + "loss": 0.0549, + "step": 536 + }, + { + "epoch": 1.33, + "learning_rate": 0.000194229864111803, + "loss": 0.0005, + "step": 537 + }, + { + "epoch": 1.33, + "learning_rate": 0.00019420815935818672, + "loss": 0.0004, + "step": 538 + }, + { + "epoch": 1.33, + "learning_rate": 0.00019418641507657673, + "loss": 0.0561, + "step": 539 + }, + { + "epoch": 1.33, + "learning_rate": 0.00019416463127609656, + "loss": 0.0574, + "step": 540 + }, + { + "epoch": 1.34, + "learning_rate": 0.00019414280796588624, + "loss": 0.0573, + "step": 541 + }, + { + "epoch": 1.34, + "learning_rate": 0.00019412094515510248, + "loss": 0.0012, + "step": 542 + }, + { + "epoch": 1.34, + "learning_rate": 0.0001940990428529185, + "loss": 0.0064, + "step": 543 + }, + { + "epoch": 1.34, + "learning_rate": 0.00019407710106852404, + "loss": 0.0661, + "step": 544 + }, + { + "epoch": 1.35, + "learning_rate": 0.0001940551198111255, + "loss": 0.0512, + "step": 545 + }, + { + "epoch": 1.35, + "learning_rate": 0.00019403309908994586, + "loss": 0.001, + "step": 546 + }, + { + "epoch": 1.35, + "learning_rate": 0.00019401103891422455, + "loss": 0.042, + "step": 547 + }, + { + "epoch": 1.35, + "learning_rate": 0.00019398893929321761, + "loss": 0.0537, + "step": 548 + }, + { + "epoch": 1.36, + "learning_rate": 0.00019396680023619765, + "loss": 0.2087, + "step": 549 + }, + { + "epoch": 1.36, + "learning_rate": 0.00019394462175245381, + "loss": 0.0287, + "step": 550 + }, + { + "epoch": 1.36, + "learning_rate": 0.00019392240385129173, + "loss": 0.0028, + "step": 551 + }, + { + "epoch": 1.36, + "learning_rate": 0.00019390014654203369, + "loss": 0.0006, + "step": 552 + }, + { + "epoch": 1.37, + "learning_rate": 0.00019387784983401838, + "loss": 0.0008, + "step": 553 + }, + { + "epoch": 1.37, + "learning_rate": 0.0001938555137366011, + "loss": 0.0403, + "step": 554 + }, + { + "epoch": 1.37, + "learning_rate": 0.0001938331382591537, + "loss": 0.0014, + "step": 555 + }, + { + "epoch": 1.37, + "learning_rate": 0.00019381072341106452, + "loss": 0.001, + "step": 556 + }, + { + "epoch": 1.38, + "learning_rate": 0.00019378826920173837, + "loss": 0.0037, + "step": 557 + }, + { + "epoch": 1.38, + "learning_rate": 0.0001937657756405966, + "loss": 0.0008, + "step": 558 + }, + { + "epoch": 1.38, + "learning_rate": 0.00019374324273707715, + "loss": 0.0008, + "step": 559 + }, + { + "epoch": 1.38, + "learning_rate": 0.00019372067050063438, + "loss": 0.0675, + "step": 560 + }, + { + "epoch": 1.39, + "learning_rate": 0.00019369805894073919, + "loss": 0.041, + "step": 561 + }, + { + "epoch": 1.39, + "learning_rate": 0.00019367540806687893, + "loss": 0.0299, + "step": 562 + }, + { + "epoch": 1.39, + "learning_rate": 0.00019365271788855757, + "loss": 0.0006, + "step": 563 + }, + { + "epoch": 1.39, + "learning_rate": 0.0001936299884152954, + "loss": 0.0125, + "step": 564 + }, + { + "epoch": 1.4, + "learning_rate": 0.00019360721965662933, + "loss": 0.032, + "step": 565 + }, + { + "epoch": 1.4, + "learning_rate": 0.0001935844116221127, + "loss": 0.0252, + "step": 566 + }, + { + "epoch": 1.4, + "learning_rate": 0.00019356156432131534, + "loss": 0.0639, + "step": 567 + }, + { + "epoch": 1.4, + "learning_rate": 0.00019353867776382354, + "loss": 0.0005, + "step": 568 + }, + { + "epoch": 1.4, + "learning_rate": 0.00019351575195924013, + "loss": 0.0014, + "step": 569 + }, + { + "epoch": 1.41, + "learning_rate": 0.00019349278691718427, + "loss": 0.0019, + "step": 570 + }, + { + "epoch": 1.41, + "learning_rate": 0.00019346978264729172, + "loss": 0.1464, + "step": 571 + }, + { + "epoch": 1.41, + "learning_rate": 0.0001934467391592146, + "loss": 0.0019, + "step": 572 + }, + { + "epoch": 1.41, + "learning_rate": 0.00019342365646262156, + "loss": 0.0376, + "step": 573 + }, + { + "epoch": 1.42, + "learning_rate": 0.00019340053456719768, + "loss": 0.0007, + "step": 574 + }, + { + "epoch": 1.42, + "learning_rate": 0.00019337737348264447, + "loss": 0.0007, + "step": 575 + }, + { + "epoch": 1.42, + "learning_rate": 0.00019335417321867987, + "loss": 0.001, + "step": 576 + }, + { + "epoch": 1.42, + "learning_rate": 0.0001933309337850383, + "loss": 0.0108, + "step": 577 + }, + { + "epoch": 1.43, + "learning_rate": 0.0001933076551914706, + "loss": 0.0225, + "step": 578 + }, + { + "epoch": 1.43, + "learning_rate": 0.000193284337447744, + "loss": 0.063, + "step": 579 + }, + { + "epoch": 1.43, + "learning_rate": 0.00019326098056364222, + "loss": 0.0476, + "step": 580 + }, + { + "epoch": 1.43, + "learning_rate": 0.00019323758454896538, + "loss": 0.0011, + "step": 581 + }, + { + "epoch": 1.44, + "learning_rate": 0.00019321414941353003, + "loss": 0.0003, + "step": 582 + }, + { + "epoch": 1.44, + "learning_rate": 0.0001931906751671691, + "loss": 0.0262, + "step": 583 + }, + { + "epoch": 1.44, + "learning_rate": 0.00019316716181973188, + "loss": 0.0005, + "step": 584 + }, + { + "epoch": 1.44, + "learning_rate": 0.00019314360938108425, + "loss": 0.084, + "step": 585 + }, + { + "epoch": 1.45, + "learning_rate": 0.00019312001786110828, + "loss": 0.0512, + "step": 586 + }, + { + "epoch": 1.45, + "learning_rate": 0.0001930963872697026, + "loss": 0.0235, + "step": 587 + }, + { + "epoch": 1.45, + "learning_rate": 0.00019307271761678213, + "loss": 0.0002, + "step": 588 + }, + { + "epoch": 1.45, + "learning_rate": 0.00019304900891227824, + "loss": 0.0004, + "step": 589 + }, + { + "epoch": 1.46, + "learning_rate": 0.00019302526116613864, + "loss": 0.0491, + "step": 590 + }, + { + "epoch": 1.46, + "learning_rate": 0.00019300147438832744, + "loss": 0.0595, + "step": 591 + }, + { + "epoch": 1.46, + "learning_rate": 0.00019297764858882514, + "loss": 0.0005, + "step": 592 + }, + { + "epoch": 1.46, + "learning_rate": 0.00019295378377762862, + "loss": 0.0693, + "step": 593 + }, + { + "epoch": 1.47, + "learning_rate": 0.00019292987996475113, + "loss": 0.0024, + "step": 594 + }, + { + "epoch": 1.47, + "learning_rate": 0.00019290593716022217, + "loss": 0.001, + "step": 595 + }, + { + "epoch": 1.47, + "learning_rate": 0.0001928819553740878, + "loss": 0.0134, + "step": 596 + }, + { + "epoch": 1.47, + "learning_rate": 0.00019285793461641028, + "loss": 0.0295, + "step": 597 + }, + { + "epoch": 1.48, + "learning_rate": 0.00019283387489726827, + "loss": 0.0006, + "step": 598 + }, + { + "epoch": 1.48, + "learning_rate": 0.0001928097762267568, + "loss": 0.0009, + "step": 599 + }, + { + "epoch": 1.48, + "learning_rate": 0.00019278563861498723, + "loss": 0.0465, + "step": 600 + }, + { + "epoch": 1.48, + "eval_loss": 0.017965465784072876, + "eval_runtime": 126.0107, + "eval_samples_per_second": 1.016, + "eval_steps_per_second": 0.341, + "step": 600 + }, + { + "epoch": 1.48, + "learning_rate": 0.00019276146207208728, + "loss": 0.039, + "step": 601 + }, + { + "epoch": 1.49, + "learning_rate": 0.00019273724660820088, + "loss": 0.0005, + "step": 602 + }, + { + "epoch": 1.49, + "learning_rate": 0.00019271299223348848, + "loss": 0.071, + "step": 603 + }, + { + "epoch": 1.49, + "learning_rate": 0.00019268869895812672, + "loss": 0.0007, + "step": 604 + }, + { + "epoch": 1.49, + "learning_rate": 0.00019266436679230865, + "loss": 0.1072, + "step": 605 + }, + { + "epoch": 1.5, + "learning_rate": 0.00019263999574624355, + "loss": 0.0503, + "step": 606 + }, + { + "epoch": 1.5, + "learning_rate": 0.00019261558583015707, + "loss": 0.0451, + "step": 607 + }, + { + "epoch": 1.5, + "learning_rate": 0.0001925911370542912, + "loss": 0.0005, + "step": 608 + }, + { + "epoch": 1.5, + "learning_rate": 0.00019256664942890413, + "loss": 0.0202, + "step": 609 + }, + { + "epoch": 1.51, + "learning_rate": 0.00019254212296427044, + "loss": 0.0401, + "step": 610 + }, + { + "epoch": 1.51, + "learning_rate": 0.00019251755767068097, + "loss": 0.1015, + "step": 611 + }, + { + "epoch": 1.51, + "learning_rate": 0.00019249295355844285, + "loss": 0.0009, + "step": 612 + }, + { + "epoch": 1.51, + "learning_rate": 0.00019246831063787957, + "loss": 0.0007, + "step": 613 + }, + { + "epoch": 1.52, + "learning_rate": 0.00019244362891933077, + "loss": 0.0007, + "step": 614 + }, + { + "epoch": 1.52, + "learning_rate": 0.00019241890841315248, + "loss": 0.0726, + "step": 615 + }, + { + "epoch": 1.52, + "learning_rate": 0.00019239414912971696, + "loss": 0.0022, + "step": 616 + }, + { + "epoch": 1.52, + "learning_rate": 0.0001923693510794127, + "loss": 0.1312, + "step": 617 + }, + { + "epoch": 1.53, + "learning_rate": 0.0001923445142726446, + "loss": 0.0742, + "step": 618 + }, + { + "epoch": 1.53, + "learning_rate": 0.00019231963871983366, + "loss": 0.043, + "step": 619 + }, + { + "epoch": 1.53, + "learning_rate": 0.0001922947244314172, + "loss": 0.0899, + "step": 620 + }, + { + "epoch": 1.53, + "learning_rate": 0.00019226977141784875, + "loss": 0.0004, + "step": 621 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001922447796895982, + "loss": 0.0003, + "step": 622 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001922197492571516, + "loss": 0.0003, + "step": 623 + }, + { + "epoch": 1.54, + "learning_rate": 0.00019219468013101124, + "loss": 0.0015, + "step": 624 + }, + { + "epoch": 1.54, + "learning_rate": 0.0001921695723216957, + "loss": 0.0003, + "step": 625 + }, + { + "epoch": 1.55, + "learning_rate": 0.00019214442583973966, + "loss": 0.001, + "step": 626 + }, + { + "epoch": 1.55, + "learning_rate": 0.0001921192406956942, + "loss": 0.0004, + "step": 627 + }, + { + "epoch": 1.55, + "learning_rate": 0.00019209401690012653, + "loss": 0.0651, + "step": 628 + }, + { + "epoch": 1.55, + "learning_rate": 0.00019206875446362001, + "loss": 0.0938, + "step": 629 + }, + { + "epoch": 1.56, + "learning_rate": 0.00019204345339677442, + "loss": 0.0486, + "step": 630 + }, + { + "epoch": 1.56, + "learning_rate": 0.0001920181137102055, + "loss": 0.0281, + "step": 631 + }, + { + "epoch": 1.56, + "learning_rate": 0.00019199273541454538, + "loss": 0.0003, + "step": 632 + }, + { + "epoch": 1.56, + "learning_rate": 0.0001919673185204423, + "loss": 0.0001, + "step": 633 + }, + { + "epoch": 1.57, + "learning_rate": 0.00019194186303856067, + "loss": 0.0002, + "step": 634 + }, + { + "epoch": 1.57, + "learning_rate": 0.00019191636897958122, + "loss": 0.0003, + "step": 635 + }, + { + "epoch": 1.57, + "learning_rate": 0.00019189083635420075, + "loss": 0.0004, + "step": 636 + }, + { + "epoch": 1.57, + "learning_rate": 0.00019186526517313225, + "loss": 0.0003, + "step": 637 + }, + { + "epoch": 1.58, + "learning_rate": 0.00019183965544710495, + "loss": 0.0611, + "step": 638 + }, + { + "epoch": 1.58, + "learning_rate": 0.0001918140071868642, + "loss": 0.0528, + "step": 639 + }, + { + "epoch": 1.58, + "learning_rate": 0.00019178832040317155, + "loss": 0.0948, + "step": 640 + }, + { + "epoch": 1.58, + "learning_rate": 0.00019176259510680463, + "loss": 0.0002, + "step": 641 + }, + { + "epoch": 1.59, + "learning_rate": 0.0001917368313085574, + "loss": 0.0003, + "step": 642 + }, + { + "epoch": 1.59, + "learning_rate": 0.0001917110290192398, + "loss": 0.0005, + "step": 643 + }, + { + "epoch": 1.59, + "learning_rate": 0.00019168518824967795, + "loss": 0.0415, + "step": 644 + }, + { + "epoch": 1.59, + "learning_rate": 0.0001916593090107143, + "loss": 0.0259, + "step": 645 + }, + { + "epoch": 1.6, + "learning_rate": 0.00019163339131320718, + "loss": 0.0261, + "step": 646 + }, + { + "epoch": 1.6, + "learning_rate": 0.0001916074351680312, + "loss": 0.0001, + "step": 647 + }, + { + "epoch": 1.6, + "learning_rate": 0.00019158144058607708, + "loss": 0.0001, + "step": 648 + }, + { + "epoch": 1.6, + "learning_rate": 0.00019155540757825168, + "loss": 0.0002, + "step": 649 + }, + { + "epoch": 1.6, + "learning_rate": 0.00019152933615547798, + "loss": 0.031, + "step": 650 + }, + { + "epoch": 1.61, + "learning_rate": 0.00019150322632869497, + "loss": 0.0002, + "step": 651 + }, + { + "epoch": 1.61, + "learning_rate": 0.000191477078108858, + "loss": 0.0405, + "step": 652 + }, + { + "epoch": 1.61, + "learning_rate": 0.00019145089150693822, + "loss": 0.0651, + "step": 653 + }, + { + "epoch": 1.61, + "learning_rate": 0.00019142466653392318, + "loss": 0.0001, + "step": 654 + }, + { + "epoch": 1.62, + "learning_rate": 0.0001913984032008163, + "loss": 0.0903, + "step": 655 + }, + { + "epoch": 1.62, + "learning_rate": 0.0001913721015186372, + "loss": 0.0001, + "step": 656 + }, + { + "epoch": 1.62, + "learning_rate": 0.00019134576149842163, + "loss": 0.0271, + "step": 657 + }, + { + "epoch": 1.62, + "learning_rate": 0.0001913193831512213, + "loss": 0.0002, + "step": 658 + }, + { + "epoch": 1.63, + "learning_rate": 0.00019129296648810412, + "loss": 0.0406, + "step": 659 + }, + { + "epoch": 1.63, + "learning_rate": 0.00019126651152015403, + "loss": 0.0484, + "step": 660 + }, + { + "epoch": 1.63, + "learning_rate": 0.00019124001825847103, + "loss": 0.0004, + "step": 661 + }, + { + "epoch": 1.63, + "learning_rate": 0.0001912134867141712, + "loss": 0.0509, + "step": 662 + }, + { + "epoch": 1.64, + "learning_rate": 0.00019118691689838668, + "loss": 0.0436, + "step": 663 + }, + { + "epoch": 1.64, + "learning_rate": 0.0001911603088222657, + "loss": 0.0358, + "step": 664 + }, + { + "epoch": 1.64, + "learning_rate": 0.0001911336624969725, + "loss": 0.0447, + "step": 665 + }, + { + "epoch": 1.64, + "learning_rate": 0.0001911069779336873, + "loss": 0.0439, + "step": 666 + }, + { + "epoch": 1.65, + "learning_rate": 0.00019108025514360662, + "loss": 0.0617, + "step": 667 + }, + { + "epoch": 1.65, + "learning_rate": 0.00019105349413794272, + "loss": 0.0001, + "step": 668 + }, + { + "epoch": 1.65, + "learning_rate": 0.00019102669492792405, + "loss": 0.0001, + "step": 669 + }, + { + "epoch": 1.65, + "learning_rate": 0.00019099985752479506, + "loss": 0.0001, + "step": 670 + }, + { + "epoch": 1.66, + "learning_rate": 0.00019097298193981624, + "loss": 0.0224, + "step": 671 + }, + { + "epoch": 1.66, + "learning_rate": 0.00019094606818426403, + "loss": 0.0407, + "step": 672 + }, + { + "epoch": 1.66, + "learning_rate": 0.00019091911626943102, + "loss": 0.0632, + "step": 673 + }, + { + "epoch": 1.66, + "learning_rate": 0.00019089212620662568, + "loss": 0.0505, + "step": 674 + }, + { + "epoch": 1.67, + "learning_rate": 0.00019086509800717258, + "loss": 0.0001, + "step": 675 + }, + { + "epoch": 1.67, + "learning_rate": 0.00019083803168241223, + "loss": 0.0465, + "step": 676 + }, + { + "epoch": 1.67, + "learning_rate": 0.00019081092724370114, + "loss": 0.0001, + "step": 677 + }, + { + "epoch": 1.67, + "learning_rate": 0.00019078378470241183, + "loss": 0.0312, + "step": 678 + }, + { + "epoch": 1.68, + "learning_rate": 0.00019075660406993284, + "loss": 0.0892, + "step": 679 + }, + { + "epoch": 1.68, + "learning_rate": 0.00019072938535766865, + "loss": 0.0007, + "step": 680 + }, + { + "epoch": 1.68, + "learning_rate": 0.00019070212857703967, + "loss": 0.0002, + "step": 681 + }, + { + "epoch": 1.68, + "learning_rate": 0.00019067483373948243, + "loss": 0.0005, + "step": 682 + }, + { + "epoch": 1.69, + "learning_rate": 0.00019064750085644926, + "loss": 0.0545, + "step": 683 + }, + { + "epoch": 1.69, + "learning_rate": 0.00019062012993940859, + "loss": 0.0501, + "step": 684 + }, + { + "epoch": 1.69, + "learning_rate": 0.0001905927209998447, + "loss": 0.0001, + "step": 685 + }, + { + "epoch": 1.69, + "learning_rate": 0.00019056527404925789, + "loss": 0.1453, + "step": 686 + }, + { + "epoch": 1.7, + "learning_rate": 0.00019053778909916438, + "loss": 0.0001, + "step": 687 + }, + { + "epoch": 1.7, + "learning_rate": 0.00019051026616109638, + "loss": 0.0962, + "step": 688 + }, + { + "epoch": 1.7, + "learning_rate": 0.00019048270524660196, + "loss": 0.0436, + "step": 689 + }, + { + "epoch": 1.7, + "learning_rate": 0.0001904551063672452, + "loss": 0.1079, + "step": 690 + }, + { + "epoch": 1.71, + "learning_rate": 0.00019042746953460606, + "loss": 0.0687, + "step": 691 + }, + { + "epoch": 1.71, + "learning_rate": 0.00019039979476028043, + "loss": 0.0853, + "step": 692 + }, + { + "epoch": 1.71, + "learning_rate": 0.00019037208205588017, + "loss": 0.0943, + "step": 693 + }, + { + "epoch": 1.71, + "learning_rate": 0.000190344331433033, + "loss": 0.0001, + "step": 694 + }, + { + "epoch": 1.72, + "learning_rate": 0.00019031654290338254, + "loss": 0.0375, + "step": 695 + }, + { + "epoch": 1.72, + "learning_rate": 0.00019028871647858834, + "loss": 0.0001, + "step": 696 + }, + { + "epoch": 1.72, + "learning_rate": 0.00019026085217032593, + "loss": 0.0001, + "step": 697 + }, + { + "epoch": 1.72, + "learning_rate": 0.00019023294999028653, + "loss": 0.1158, + "step": 698 + }, + { + "epoch": 1.73, + "learning_rate": 0.00019020500995017747, + "loss": 0.0398, + "step": 699 + }, + { + "epoch": 1.73, + "learning_rate": 0.00019017703206172185, + "loss": 0.0001, + "step": 700 + }, + { + "epoch": 1.73, + "learning_rate": 0.00019014901633665867, + "loss": 0.0001, + "step": 701 + }, + { + "epoch": 1.73, + "learning_rate": 0.0001901209627867428, + "loss": 0.0473, + "step": 702 + }, + { + "epoch": 1.74, + "learning_rate": 0.000190092871423745, + "loss": 0.0528, + "step": 703 + }, + { + "epoch": 1.74, + "learning_rate": 0.0001900647422594519, + "loss": 0.0581, + "step": 704 + }, + { + "epoch": 1.74, + "learning_rate": 0.0001900365753056659, + "loss": 0.0434, + "step": 705 + }, + { + "epoch": 1.74, + "learning_rate": 0.0001900083705742054, + "loss": 0.0001, + "step": 706 + }, + { + "epoch": 1.75, + "learning_rate": 0.00018998012807690457, + "loss": 0.0886, + "step": 707 + }, + { + "epoch": 1.75, + "learning_rate": 0.00018995184782561345, + "loss": 0.0391, + "step": 708 + }, + { + "epoch": 1.75, + "learning_rate": 0.00018992352983219785, + "loss": 0.0006, + "step": 709 + }, + { + "epoch": 1.75, + "learning_rate": 0.00018989517410853955, + "loss": 0.0002, + "step": 710 + }, + { + "epoch": 1.76, + "learning_rate": 0.00018986678066653601, + "loss": 0.0001, + "step": 711 + }, + { + "epoch": 1.76, + "learning_rate": 0.0001898383495181007, + "loss": 0.0006, + "step": 712 + }, + { + "epoch": 1.76, + "learning_rate": 0.00018980988067516266, + "loss": 0.0539, + "step": 713 + }, + { + "epoch": 1.76, + "learning_rate": 0.00018978137414966698, + "loss": 0.0211, + "step": 714 + }, + { + "epoch": 1.77, + "learning_rate": 0.00018975282995357446, + "loss": 0.0355, + "step": 715 + }, + { + "epoch": 1.77, + "learning_rate": 0.0001897242480988617, + "loss": 0.0532, + "step": 716 + }, + { + "epoch": 1.77, + "learning_rate": 0.0001896956285975211, + "loss": 0.0354, + "step": 717 + }, + { + "epoch": 1.77, + "learning_rate": 0.00018966697146156092, + "loss": 0.0004, + "step": 718 + }, + { + "epoch": 1.78, + "learning_rate": 0.0001896382767030051, + "loss": 0.0418, + "step": 719 + }, + { + "epoch": 1.78, + "learning_rate": 0.00018960954433389345, + "loss": 0.0502, + "step": 720 + }, + { + "epoch": 1.78, + "learning_rate": 0.00018958077436628158, + "loss": 0.0004, + "step": 721 + }, + { + "epoch": 1.78, + "learning_rate": 0.0001895519668122408, + "loss": 0.0001, + "step": 722 + }, + { + "epoch": 1.79, + "learning_rate": 0.00018952312168385823, + "loss": 0.0509, + "step": 723 + }, + { + "epoch": 1.79, + "learning_rate": 0.0001894942389932367, + "loss": 0.0003, + "step": 724 + }, + { + "epoch": 1.79, + "learning_rate": 0.00018946531875249493, + "loss": 0.0006, + "step": 725 + }, + { + "epoch": 1.79, + "learning_rate": 0.00018943636097376726, + "loss": 0.019, + "step": 726 + }, + { + "epoch": 1.8, + "learning_rate": 0.00018940736566920387, + "loss": 0.0002, + "step": 727 + }, + { + "epoch": 1.8, + "learning_rate": 0.00018937833285097066, + "loss": 0.0004, + "step": 728 + }, + { + "epoch": 1.8, + "learning_rate": 0.00018934926253124921, + "loss": 0.0258, + "step": 729 + }, + { + "epoch": 1.8, + "learning_rate": 0.00018932015472223693, + "loss": 0.0001, + "step": 730 + }, + { + "epoch": 1.8, + "learning_rate": 0.0001892910094361469, + "loss": 0.0008, + "step": 731 + }, + { + "epoch": 1.81, + "learning_rate": 0.00018926182668520792, + "loss": 0.0479, + "step": 732 + }, + { + "epoch": 1.81, + "learning_rate": 0.00018923260648166457, + "loss": 0.0008, + "step": 733 + }, + { + "epoch": 1.81, + "learning_rate": 0.0001892033488377771, + "loss": 0.1391, + "step": 734 + }, + { + "epoch": 1.81, + "learning_rate": 0.00018917405376582145, + "loss": 0.0029, + "step": 735 + }, + { + "epoch": 1.82, + "learning_rate": 0.0001891447212780893, + "loss": 0.0002, + "step": 736 + }, + { + "epoch": 1.82, + "learning_rate": 0.00018911535138688802, + "loss": 0.0002, + "step": 737 + }, + { + "epoch": 1.82, + "learning_rate": 0.0001890859441045407, + "loss": 0.0877, + "step": 738 + }, + { + "epoch": 1.82, + "learning_rate": 0.00018905649944338598, + "loss": 0.0014, + "step": 739 + }, + { + "epoch": 1.83, + "learning_rate": 0.0001890270174157784, + "loss": 0.0006, + "step": 740 + }, + { + "epoch": 1.83, + "learning_rate": 0.00018899749803408806, + "loss": 0.1397, + "step": 741 + }, + { + "epoch": 1.83, + "learning_rate": 0.00018896794131070073, + "loss": 0.1003, + "step": 742 + }, + { + "epoch": 1.83, + "learning_rate": 0.00018893834725801782, + "loss": 0.0558, + "step": 743 + }, + { + "epoch": 1.84, + "learning_rate": 0.0001889087158884565, + "loss": 0.0016, + "step": 744 + }, + { + "epoch": 1.84, + "learning_rate": 0.00018887904721444953, + "loss": 0.0328, + "step": 745 + }, + { + "epoch": 1.84, + "learning_rate": 0.00018884934124844532, + "loss": 0.0359, + "step": 746 + }, + { + "epoch": 1.84, + "learning_rate": 0.00018881959800290797, + "loss": 0.0856, + "step": 747 + }, + { + "epoch": 1.85, + "learning_rate": 0.00018878981749031716, + "loss": 0.0639, + "step": 748 + }, + { + "epoch": 1.85, + "learning_rate": 0.00018875999972316825, + "loss": 0.0152, + "step": 749 + }, + { + "epoch": 1.85, + "learning_rate": 0.00018873014471397224, + "loss": 0.0043, + "step": 750 + }, + { + "epoch": 1.85, + "learning_rate": 0.0001887002524752557, + "loss": 0.0024, + "step": 751 + }, + { + "epoch": 1.86, + "learning_rate": 0.00018867032301956088, + "loss": 0.0007, + "step": 752 + }, + { + "epoch": 1.86, + "learning_rate": 0.00018864035635944562, + "loss": 0.0005, + "step": 753 + }, + { + "epoch": 1.86, + "learning_rate": 0.00018861035250748343, + "loss": 0.0556, + "step": 754 + }, + { + "epoch": 1.86, + "learning_rate": 0.00018858031147626325, + "loss": 0.0383, + "step": 755 + }, + { + "epoch": 1.87, + "learning_rate": 0.00018855023327838983, + "loss": 0.0003, + "step": 756 + }, + { + "epoch": 1.87, + "learning_rate": 0.0001885201179264834, + "loss": 0.0006, + "step": 757 + }, + { + "epoch": 1.87, + "learning_rate": 0.00018848996543317982, + "loss": 0.0033, + "step": 758 + }, + { + "epoch": 1.87, + "learning_rate": 0.00018845977581113046, + "loss": 0.0003, + "step": 759 + }, + { + "epoch": 1.88, + "learning_rate": 0.00018842954907300236, + "loss": 0.0507, + "step": 760 + }, + { + "epoch": 1.88, + "learning_rate": 0.00018839928523147812, + "loss": 0.181, + "step": 761 + }, + { + "epoch": 1.88, + "learning_rate": 0.00018836898429925585, + "loss": 0.0007, + "step": 762 + }, + { + "epoch": 1.88, + "learning_rate": 0.0001883386462890493, + "loss": 0.0371, + "step": 763 + }, + { + "epoch": 1.89, + "learning_rate": 0.0001883082712135877, + "loss": 0.0005, + "step": 764 + }, + { + "epoch": 1.89, + "learning_rate": 0.00018827785908561584, + "loss": 0.0009, + "step": 765 + }, + { + "epoch": 1.89, + "learning_rate": 0.00018824740991789415, + "loss": 0.0009, + "step": 766 + }, + { + "epoch": 1.89, + "learning_rate": 0.0001882169237231985, + "loss": 0.0014, + "step": 767 + }, + { + "epoch": 1.9, + "learning_rate": 0.00018818640051432035, + "loss": 0.0451, + "step": 768 + }, + { + "epoch": 1.9, + "learning_rate": 0.00018815584030406664, + "loss": 0.0006, + "step": 769 + }, + { + "epoch": 1.9, + "learning_rate": 0.0001881252431052599, + "loss": 0.0046, + "step": 770 + }, + { + "epoch": 1.9, + "learning_rate": 0.0001880946089307381, + "loss": 0.0058, + "step": 771 + }, + { + "epoch": 1.91, + "learning_rate": 0.00018806393779335483, + "loss": 0.0002, + "step": 772 + }, + { + "epoch": 1.91, + "learning_rate": 0.00018803322970597908, + "loss": 0.0012, + "step": 773 + }, + { + "epoch": 1.91, + "learning_rate": 0.00018800248468149543, + "loss": 0.1054, + "step": 774 + }, + { + "epoch": 1.91, + "learning_rate": 0.00018797170273280388, + "loss": 0.0132, + "step": 775 + }, + { + "epoch": 1.92, + "learning_rate": 0.00018794088387282, + "loss": 0.0526, + "step": 776 + }, + { + "epoch": 1.92, + "learning_rate": 0.00018791002811447481, + "loss": 0.0004, + "step": 777 + }, + { + "epoch": 1.92, + "learning_rate": 0.00018787913547071484, + "loss": 0.0421, + "step": 778 + }, + { + "epoch": 1.92, + "learning_rate": 0.00018784820595450197, + "loss": 0.0585, + "step": 779 + }, + { + "epoch": 1.93, + "learning_rate": 0.00018781723957881372, + "loss": 0.0561, + "step": 780 + }, + { + "epoch": 1.93, + "learning_rate": 0.00018778623635664303, + "loss": 0.0618, + "step": 781 + }, + { + "epoch": 1.93, + "learning_rate": 0.0001877551963009982, + "loss": 0.0473, + "step": 782 + }, + { + "epoch": 1.93, + "learning_rate": 0.00018772411942490313, + "loss": 0.0004, + "step": 783 + }, + { + "epoch": 1.94, + "learning_rate": 0.0001876930057413971, + "loss": 0.001, + "step": 784 + }, + { + "epoch": 1.94, + "learning_rate": 0.0001876618552635348, + "loss": 0.0439, + "step": 785 + }, + { + "epoch": 1.94, + "learning_rate": 0.00018763066800438636, + "loss": 0.068, + "step": 786 + }, + { + "epoch": 1.94, + "learning_rate": 0.00018759944397703747, + "loss": 0.035, + "step": 787 + }, + { + "epoch": 1.95, + "learning_rate": 0.00018756818319458907, + "loss": 0.0005, + "step": 788 + }, + { + "epoch": 1.95, + "learning_rate": 0.0001875368856701576, + "loss": 0.0472, + "step": 789 + }, + { + "epoch": 1.95, + "learning_rate": 0.000187505551416875, + "loss": 0.0495, + "step": 790 + }, + { + "epoch": 1.95, + "learning_rate": 0.00018747418044788846, + "loss": 0.0657, + "step": 791 + }, + { + "epoch": 1.96, + "learning_rate": 0.0001874427727763607, + "loss": 0.0005, + "step": 792 + }, + { + "epoch": 1.96, + "learning_rate": 0.0001874113284154698, + "loss": 0.076, + "step": 793 + }, + { + "epoch": 1.96, + "learning_rate": 0.0001873798473784092, + "loss": 0.0581, + "step": 794 + }, + { + "epoch": 1.96, + "learning_rate": 0.00018734832967838775, + "loss": 0.0007, + "step": 795 + }, + { + "epoch": 1.97, + "learning_rate": 0.00018731677532862976, + "loss": 0.0363, + "step": 796 + }, + { + "epoch": 1.97, + "learning_rate": 0.00018728518434237473, + "loss": 0.0651, + "step": 797 + }, + { + "epoch": 1.97, + "learning_rate": 0.00018725355673287778, + "loss": 0.0649, + "step": 798 + }, + { + "epoch": 1.97, + "learning_rate": 0.0001872218925134092, + "loss": 0.0004, + "step": 799 + }, + { + "epoch": 1.98, + "learning_rate": 0.00018719019169725472, + "loss": 0.0002, + "step": 800 + }, + { + "epoch": 1.98, + "eval_loss": 0.014746900647878647, + "eval_runtime": 126.097, + "eval_samples_per_second": 1.015, + "eval_steps_per_second": 0.341, + "step": 800 + }, + { + "epoch": 1.98, + "learning_rate": 0.0001871584542977154, + "loss": 0.0467, + "step": 801 + }, + { + "epoch": 1.98, + "learning_rate": 0.00018712668032810768, + "loss": 0.0519, + "step": 802 + }, + { + "epoch": 1.98, + "learning_rate": 0.0001870948698017633, + "loss": 0.0105, + "step": 803 + }, + { + "epoch": 1.99, + "learning_rate": 0.00018706302273202943, + "loss": 0.0003, + "step": 804 + }, + { + "epoch": 1.99, + "learning_rate": 0.00018703113913226847, + "loss": 0.0297, + "step": 805 + }, + { + "epoch": 1.99, + "learning_rate": 0.00018699921901585813, + "loss": 0.1403, + "step": 806 + }, + { + "epoch": 1.99, + "learning_rate": 0.0001869672623961916, + "loss": 0.0525, + "step": 807 + }, + { + "epoch": 2.0, + "learning_rate": 0.0001869352692866772, + "loss": 0.0691, + "step": 808 + }, + { + "epoch": 2.0, + "learning_rate": 0.00018690323970073873, + "loss": 0.0535, + "step": 809 + }, + { + "epoch": 2.0, + "learning_rate": 0.00018687117365181512, + "loss": 0.0336, + "step": 810 + }, + { + "epoch": 2.0, + "learning_rate": 0.00018683907115336074, + "loss": 0.0262, + "step": 811 + }, + { + "epoch": 2.0, + "learning_rate": 0.00018680693221884517, + "loss": 0.0004, + "step": 812 + }, + { + "epoch": 2.01, + "learning_rate": 0.00018677475686175338, + "loss": 0.0003, + "step": 813 + }, + { + "epoch": 2.01, + "learning_rate": 0.00018674254509558544, + "loss": 0.0402, + "step": 814 + }, + { + "epoch": 2.01, + "learning_rate": 0.0001867102969338569, + "loss": 0.0004, + "step": 815 + }, + { + "epoch": 2.01, + "learning_rate": 0.00018667801239009846, + "loss": 0.0005, + "step": 816 + }, + { + "epoch": 2.02, + "learning_rate": 0.00018664569147785613, + "loss": 0.005, + "step": 817 + }, + { + "epoch": 2.02, + "learning_rate": 0.00018661333421069113, + "loss": 0.0008, + "step": 818 + }, + { + "epoch": 2.02, + "learning_rate": 0.00018658094060217999, + "loss": 0.0608, + "step": 819 + }, + { + "epoch": 2.02, + "learning_rate": 0.00018654851066591448, + "loss": 0.031, + "step": 820 + }, + { + "epoch": 2.03, + "learning_rate": 0.00018651604441550154, + "loss": 0.0024, + "step": 821 + }, + { + "epoch": 2.03, + "learning_rate": 0.00018648354186456348, + "loss": 0.0726, + "step": 822 + }, + { + "epoch": 2.03, + "learning_rate": 0.00018645100302673774, + "loss": 0.0463, + "step": 823 + }, + { + "epoch": 2.03, + "learning_rate": 0.000186418427915677, + "loss": 0.0032, + "step": 824 + }, + { + "epoch": 2.04, + "learning_rate": 0.0001863858165450492, + "loss": 0.0004, + "step": 825 + }, + { + "epoch": 2.04, + "learning_rate": 0.00018635316892853741, + "loss": 0.0196, + "step": 826 + }, + { + "epoch": 2.04, + "learning_rate": 0.00018632048507984, + "loss": 0.022, + "step": 827 + }, + { + "epoch": 2.04, + "learning_rate": 0.00018628776501267052, + "loss": 0.0009, + "step": 828 + }, + { + "epoch": 2.05, + "learning_rate": 0.0001862550087407577, + "loss": 0.1024, + "step": 829 + }, + { + "epoch": 2.05, + "learning_rate": 0.0001862222162778454, + "loss": 0.0796, + "step": 830 + }, + { + "epoch": 2.05, + "learning_rate": 0.00018618938763769282, + "loss": 0.0004, + "step": 831 + }, + { + "epoch": 2.05, + "learning_rate": 0.0001861565228340742, + "loss": 0.0004, + "step": 832 + }, + { + "epoch": 2.06, + "learning_rate": 0.00018612362188077898, + "loss": 0.1187, + "step": 833 + }, + { + "epoch": 2.06, + "learning_rate": 0.00018609068479161182, + "loss": 0.002, + "step": 834 + }, + { + "epoch": 2.06, + "learning_rate": 0.00018605771158039253, + "loss": 0.0931, + "step": 835 + }, + { + "epoch": 2.06, + "learning_rate": 0.00018602470226095603, + "loss": 0.1085, + "step": 836 + }, + { + "epoch": 2.07, + "learning_rate": 0.0001859916568471524, + "loss": 0.0022, + "step": 837 + }, + { + "epoch": 2.07, + "learning_rate": 0.00018595857535284692, + "loss": 0.0291, + "step": 838 + }, + { + "epoch": 2.07, + "learning_rate": 0.0001859254577919199, + "loss": 0.032, + "step": 839 + }, + { + "epoch": 2.07, + "learning_rate": 0.00018589230417826697, + "loss": 0.0046, + "step": 840 + }, + { + "epoch": 2.08, + "learning_rate": 0.0001858591145257987, + "loss": 0.0018, + "step": 841 + }, + { + "epoch": 2.08, + "learning_rate": 0.00018582588884844084, + "loss": 0.1096, + "step": 842 + }, + { + "epoch": 2.08, + "learning_rate": 0.0001857926271601343, + "loss": 0.0547, + "step": 843 + }, + { + "epoch": 2.08, + "learning_rate": 0.00018575932947483502, + "loss": 0.0151, + "step": 844 + }, + { + "epoch": 2.09, + "learning_rate": 0.00018572599580651415, + "loss": 0.071, + "step": 845 + }, + { + "epoch": 2.09, + "learning_rate": 0.00018569262616915784, + "loss": 0.0062, + "step": 846 + }, + { + "epoch": 2.09, + "learning_rate": 0.00018565922057676737, + "loss": 0.0039, + "step": 847 + }, + { + "epoch": 2.09, + "learning_rate": 0.00018562577904335912, + "loss": 0.0017, + "step": 848 + }, + { + "epoch": 2.1, + "learning_rate": 0.00018559230158296454, + "loss": 0.0013, + "step": 849 + }, + { + "epoch": 2.1, + "learning_rate": 0.00018555878820963013, + "loss": 0.0011, + "step": 850 + }, + { + "epoch": 2.1, + "learning_rate": 0.00018552523893741748, + "loss": 0.0013, + "step": 851 + }, + { + "epoch": 2.1, + "learning_rate": 0.00018549165378040327, + "loss": 0.005, + "step": 852 + }, + { + "epoch": 2.11, + "learning_rate": 0.0001854580327526792, + "loss": 0.0379, + "step": 853 + }, + { + "epoch": 2.11, + "learning_rate": 0.00018542437586835202, + "loss": 0.0847, + "step": 854 + }, + { + "epoch": 2.11, + "learning_rate": 0.00018539068314154354, + "loss": 0.0017, + "step": 855 + }, + { + "epoch": 2.11, + "learning_rate": 0.00018535695458639056, + "loss": 0.0721, + "step": 856 + }, + { + "epoch": 2.12, + "learning_rate": 0.000185323190217045, + "loss": 0.0006, + "step": 857 + }, + { + "epoch": 2.12, + "learning_rate": 0.00018528939004767376, + "loss": 0.0003, + "step": 858 + }, + { + "epoch": 2.12, + "learning_rate": 0.00018525555409245877, + "loss": 0.0005, + "step": 859 + }, + { + "epoch": 2.12, + "learning_rate": 0.00018522168236559695, + "loss": 0.0008, + "step": 860 + }, + { + "epoch": 2.13, + "learning_rate": 0.00018518777488130023, + "loss": 0.0466, + "step": 861 + }, + { + "epoch": 2.13, + "learning_rate": 0.0001851538316537956, + "loss": 0.0372, + "step": 862 + }, + { + "epoch": 2.13, + "learning_rate": 0.00018511985269732497, + "loss": 0.038, + "step": 863 + }, + { + "epoch": 2.13, + "learning_rate": 0.0001850858380261453, + "loss": 0.0013, + "step": 864 + }, + { + "epoch": 2.14, + "learning_rate": 0.00018505178765452853, + "loss": 0.0304, + "step": 865 + }, + { + "epoch": 2.14, + "learning_rate": 0.00018501770159676156, + "loss": 0.0465, + "step": 866 + }, + { + "epoch": 2.14, + "learning_rate": 0.00018498357986714622, + "loss": 0.0424, + "step": 867 + }, + { + "epoch": 2.14, + "learning_rate": 0.0001849494224799994, + "loss": 0.0705, + "step": 868 + }, + { + "epoch": 2.15, + "learning_rate": 0.0001849152294496529, + "loss": 0.0002, + "step": 869 + }, + { + "epoch": 2.15, + "learning_rate": 0.00018488100079045344, + "loss": 0.0009, + "step": 870 + }, + { + "epoch": 2.15, + "learning_rate": 0.00018484673651676282, + "loss": 0.0002, + "step": 871 + }, + { + "epoch": 2.15, + "learning_rate": 0.0001848124366429576, + "loss": 0.0455, + "step": 872 + }, + { + "epoch": 2.16, + "learning_rate": 0.0001847781011834294, + "loss": 0.0505, + "step": 873 + }, + { + "epoch": 2.16, + "learning_rate": 0.00018474373015258473, + "loss": 0.0386, + "step": 874 + }, + { + "epoch": 2.16, + "learning_rate": 0.00018470932356484508, + "loss": 0.0509, + "step": 875 + }, + { + "epoch": 2.16, + "learning_rate": 0.0001846748814346468, + "loss": 0.0003, + "step": 876 + }, + { + "epoch": 2.17, + "learning_rate": 0.0001846404037764411, + "loss": 0.0351, + "step": 877 + }, + { + "epoch": 2.17, + "learning_rate": 0.00018460589060469425, + "loss": 0.0003, + "step": 878 + }, + { + "epoch": 2.17, + "learning_rate": 0.0001845713419338873, + "loss": 0.0002, + "step": 879 + }, + { + "epoch": 2.17, + "learning_rate": 0.00018453675777851627, + "loss": 0.0037, + "step": 880 + }, + { + "epoch": 2.18, + "learning_rate": 0.00018450213815309198, + "loss": 0.0442, + "step": 881 + }, + { + "epoch": 2.18, + "learning_rate": 0.00018446748307214019, + "loss": 0.035, + "step": 882 + }, + { + "epoch": 2.18, + "learning_rate": 0.00018443279255020152, + "loss": 0.0875, + "step": 883 + }, + { + "epoch": 2.18, + "learning_rate": 0.0001843980666018315, + "loss": 0.0418, + "step": 884 + }, + { + "epoch": 2.19, + "learning_rate": 0.00018436330524160047, + "loss": 0.0009, + "step": 885 + }, + { + "epoch": 2.19, + "learning_rate": 0.00018432850848409363, + "loss": 0.0089, + "step": 886 + }, + { + "epoch": 2.19, + "learning_rate": 0.00018429367634391114, + "loss": 0.0017, + "step": 887 + }, + { + "epoch": 2.19, + "learning_rate": 0.00018425880883566782, + "loss": 0.0004, + "step": 888 + }, + { + "epoch": 2.2, + "learning_rate": 0.00018422390597399349, + "loss": 0.0464, + "step": 889 + }, + { + "epoch": 2.2, + "learning_rate": 0.0001841889677735327, + "loss": 0.0027, + "step": 890 + }, + { + "epoch": 2.2, + "learning_rate": 0.00018415399424894492, + "loss": 0.0004, + "step": 891 + }, + { + "epoch": 2.2, + "learning_rate": 0.00018411898541490434, + "loss": 0.0928, + "step": 892 + }, + { + "epoch": 2.2, + "learning_rate": 0.00018408394128610001, + "loss": 0.0042, + "step": 893 + }, + { + "epoch": 2.21, + "learning_rate": 0.0001840488618772359, + "loss": 0.002, + "step": 894 + }, + { + "epoch": 2.21, + "learning_rate": 0.00018401374720303056, + "loss": 0.0002, + "step": 895 + }, + { + "epoch": 2.21, + "learning_rate": 0.00018397859727821748, + "loss": 0.0004, + "step": 896 + }, + { + "epoch": 2.21, + "learning_rate": 0.00018394341211754495, + "loss": 0.0987, + "step": 897 + }, + { + "epoch": 2.22, + "learning_rate": 0.00018390819173577598, + "loss": 0.0004, + "step": 898 + }, + { + "epoch": 2.22, + "learning_rate": 0.0001838729361476884, + "loss": 0.0002, + "step": 899 + }, + { + "epoch": 2.22, + "learning_rate": 0.00018383764536807485, + "loss": 0.0002, + "step": 900 + }, + { + "epoch": 2.22, + "learning_rate": 0.00018380231941174258, + "loss": 0.0422, + "step": 901 + }, + { + "epoch": 2.23, + "learning_rate": 0.00018376695829351377, + "loss": 0.0004, + "step": 902 + }, + { + "epoch": 2.23, + "learning_rate": 0.0001837315620282253, + "loss": 0.0007, + "step": 903 + }, + { + "epoch": 2.23, + "learning_rate": 0.00018369613063072874, + "loss": 0.0231, + "step": 904 + }, + { + "epoch": 2.23, + "learning_rate": 0.0001836606641158905, + "loss": 0.053, + "step": 905 + }, + { + "epoch": 2.24, + "learning_rate": 0.00018362516249859163, + "loss": 0.0003, + "step": 906 + }, + { + "epoch": 2.24, + "learning_rate": 0.00018358962579372796, + "loss": 0.0403, + "step": 907 + }, + { + "epoch": 2.24, + "learning_rate": 0.00018355405401621001, + "loss": 0.0319, + "step": 908 + }, + { + "epoch": 2.24, + "learning_rate": 0.0001835184471809631, + "loss": 0.0402, + "step": 909 + }, + { + "epoch": 2.25, + "learning_rate": 0.00018348280530292713, + "loss": 0.0628, + "step": 910 + }, + { + "epoch": 2.25, + "learning_rate": 0.0001834471283970568, + "loss": 0.0937, + "step": 911 + }, + { + "epoch": 2.25, + "learning_rate": 0.00018341141647832147, + "loss": 0.0005, + "step": 912 + }, + { + "epoch": 2.25, + "learning_rate": 0.00018337566956170523, + "loss": 0.05, + "step": 913 + }, + { + "epoch": 2.26, + "learning_rate": 0.00018333988766220676, + "loss": 0.0202, + "step": 914 + }, + { + "epoch": 2.26, + "learning_rate": 0.00018330407079483952, + "loss": 0.0008, + "step": 915 + }, + { + "epoch": 2.26, + "learning_rate": 0.0001832682189746316, + "loss": 0.0003, + "step": 916 + }, + { + "epoch": 2.26, + "learning_rate": 0.00018323233221662573, + "loss": 0.0037, + "step": 917 + }, + { + "epoch": 2.27, + "learning_rate": 0.00018319641053587938, + "loss": 0.0417, + "step": 918 + }, + { + "epoch": 2.27, + "learning_rate": 0.0001831604539474646, + "loss": 0.0269, + "step": 919 + }, + { + "epoch": 2.27, + "learning_rate": 0.0001831244624664681, + "loss": 0.048, + "step": 920 + }, + { + "epoch": 2.27, + "learning_rate": 0.0001830884361079912, + "loss": 0.0801, + "step": 921 + }, + { + "epoch": 2.28, + "learning_rate": 0.00018305237488714995, + "loss": 0.0001, + "step": 922 + }, + { + "epoch": 2.28, + "learning_rate": 0.00018301627881907494, + "loss": 0.0425, + "step": 923 + }, + { + "epoch": 2.28, + "learning_rate": 0.00018298014791891137, + "loss": 0.0323, + "step": 924 + }, + { + "epoch": 2.28, + "learning_rate": 0.00018294398220181917, + "loss": 0.0631, + "step": 925 + }, + { + "epoch": 2.29, + "learning_rate": 0.00018290778168297277, + "loss": 0.0005, + "step": 926 + }, + { + "epoch": 2.29, + "learning_rate": 0.00018287154637756125, + "loss": 0.0007, + "step": 927 + }, + { + "epoch": 2.29, + "learning_rate": 0.00018283527630078825, + "loss": 0.0237, + "step": 928 + }, + { + "epoch": 2.29, + "learning_rate": 0.00018279897146787204, + "loss": 0.0605, + "step": 929 + }, + { + "epoch": 2.3, + "learning_rate": 0.0001827626318940454, + "loss": 0.0871, + "step": 930 + }, + { + "epoch": 2.3, + "learning_rate": 0.00018272625759455582, + "loss": 0.003, + "step": 931 + }, + { + "epoch": 2.3, + "learning_rate": 0.00018268984858466522, + "loss": 0.0001, + "step": 932 + }, + { + "epoch": 2.3, + "learning_rate": 0.00018265340487965017, + "loss": 0.0586, + "step": 933 + }, + { + "epoch": 2.31, + "learning_rate": 0.00018261692649480175, + "loss": 0.0459, + "step": 934 + }, + { + "epoch": 2.31, + "learning_rate": 0.00018258041344542566, + "loss": 0.0005, + "step": 935 + }, + { + "epoch": 2.31, + "learning_rate": 0.00018254386574684204, + "loss": 0.027, + "step": 936 + }, + { + "epoch": 2.31, + "learning_rate": 0.00018250728341438568, + "loss": 0.0001, + "step": 937 + }, + { + "epoch": 2.32, + "learning_rate": 0.0001824706664634058, + "loss": 0.0824, + "step": 938 + }, + { + "epoch": 2.32, + "learning_rate": 0.0001824340149092662, + "loss": 0.0112, + "step": 939 + }, + { + "epoch": 2.32, + "learning_rate": 0.00018239732876734527, + "loss": 0.0007, + "step": 940 + }, + { + "epoch": 2.32, + "learning_rate": 0.0001823606080530357, + "loss": 0.0004, + "step": 941 + }, + { + "epoch": 2.33, + "learning_rate": 0.0001823238527817449, + "loss": 0.1245, + "step": 942 + }, + { + "epoch": 2.33, + "learning_rate": 0.0001822870629688947, + "loss": 0.0796, + "step": 943 + }, + { + "epoch": 2.33, + "learning_rate": 0.00018225023862992142, + "loss": 0.0712, + "step": 944 + }, + { + "epoch": 2.33, + "learning_rate": 0.00018221337978027583, + "loss": 0.033, + "step": 945 + }, + { + "epoch": 2.34, + "learning_rate": 0.00018217648643542323, + "loss": 0.0025, + "step": 946 + }, + { + "epoch": 2.34, + "learning_rate": 0.00018213955861084343, + "loss": 0.0002, + "step": 947 + }, + { + "epoch": 2.34, + "learning_rate": 0.0001821025963220306, + "loss": 0.0015, + "step": 948 + }, + { + "epoch": 2.34, + "learning_rate": 0.0001820655995844935, + "loss": 0.0024, + "step": 949 + }, + { + "epoch": 2.35, + "learning_rate": 0.00018202856841375518, + "loss": 0.0435, + "step": 950 + }, + { + "epoch": 2.35, + "learning_rate": 0.00018199150282535332, + "loss": 0.0511, + "step": 951 + }, + { + "epoch": 2.35, + "learning_rate": 0.00018195440283483988, + "loss": 0.0627, + "step": 952 + }, + { + "epoch": 2.35, + "learning_rate": 0.0001819172684577814, + "loss": 0.0885, + "step": 953 + }, + { + "epoch": 2.36, + "learning_rate": 0.0001818800997097587, + "loss": 0.0628, + "step": 954 + }, + { + "epoch": 2.36, + "learning_rate": 0.00018184289660636715, + "loss": 0.0008, + "step": 955 + }, + { + "epoch": 2.36, + "learning_rate": 0.00018180565916321647, + "loss": 0.0005, + "step": 956 + }, + { + "epoch": 2.36, + "learning_rate": 0.00018176838739593078, + "loss": 0.0304, + "step": 957 + }, + { + "epoch": 2.37, + "learning_rate": 0.0001817310813201486, + "loss": 0.0297, + "step": 958 + }, + { + "epoch": 2.37, + "learning_rate": 0.00018169374095152295, + "loss": 0.001, + "step": 959 + }, + { + "epoch": 2.37, + "learning_rate": 0.0001816563663057211, + "loss": 0.0022, + "step": 960 + }, + { + "epoch": 2.37, + "learning_rate": 0.00018161895739842476, + "loss": 0.0411, + "step": 961 + }, + { + "epoch": 2.38, + "learning_rate": 0.00018158151424533002, + "loss": 0.0012, + "step": 962 + }, + { + "epoch": 2.38, + "learning_rate": 0.0001815440368621473, + "loss": 0.0343, + "step": 963 + }, + { + "epoch": 2.38, + "learning_rate": 0.00018150652526460146, + "loss": 0.0418, + "step": 964 + }, + { + "epoch": 2.38, + "learning_rate": 0.00018146897946843163, + "loss": 0.1491, + "step": 965 + }, + { + "epoch": 2.39, + "learning_rate": 0.00018143139948939137, + "loss": 0.0002, + "step": 966 + }, + { + "epoch": 2.39, + "learning_rate": 0.00018139378534324848, + "loss": 0.0006, + "step": 967 + }, + { + "epoch": 2.39, + "learning_rate": 0.00018135613704578526, + "loss": 0.0004, + "step": 968 + }, + { + "epoch": 2.39, + "learning_rate": 0.00018131845461279812, + "loss": 0.0704, + "step": 969 + }, + { + "epoch": 2.4, + "learning_rate": 0.000181280738060098, + "loss": 0.0002, + "step": 970 + }, + { + "epoch": 2.4, + "learning_rate": 0.00018124298740351003, + "loss": 0.0001, + "step": 971 + }, + { + "epoch": 2.4, + "learning_rate": 0.00018120520265887363, + "loss": 0.0025, + "step": 972 + }, + { + "epoch": 2.4, + "learning_rate": 0.00018116738384204266, + "loss": 0.0254, + "step": 973 + }, + { + "epoch": 2.4, + "learning_rate": 0.00018112953096888516, + "loss": 0.0003, + "step": 974 + }, + { + "epoch": 2.41, + "learning_rate": 0.0001810916440552835, + "loss": 0.1252, + "step": 975 + }, + { + "epoch": 2.41, + "learning_rate": 0.00018105372311713432, + "loss": 0.0005, + "step": 976 + }, + { + "epoch": 2.41, + "learning_rate": 0.0001810157681703485, + "loss": 0.0002, + "step": 977 + }, + { + "epoch": 2.41, + "learning_rate": 0.0001809777792308513, + "loss": 0.024, + "step": 978 + }, + { + "epoch": 2.42, + "learning_rate": 0.00018093975631458217, + "loss": 0.0001, + "step": 979 + }, + { + "epoch": 2.42, + "learning_rate": 0.00018090169943749476, + "loss": 0.0566, + "step": 980 + }, + { + "epoch": 2.42, + "learning_rate": 0.00018086360861555706, + "loss": 0.0003, + "step": 981 + }, + { + "epoch": 2.42, + "learning_rate": 0.0001808254838647513, + "loss": 0.0443, + "step": 982 + }, + { + "epoch": 2.43, + "learning_rate": 0.00018078732520107385, + "loss": 0.0001, + "step": 983 + }, + { + "epoch": 2.43, + "learning_rate": 0.00018074913264053545, + "loss": 0.0002, + "step": 984 + }, + { + "epoch": 2.43, + "learning_rate": 0.00018071090619916093, + "loss": 0.0553, + "step": 985 + }, + { + "epoch": 2.43, + "learning_rate": 0.00018067264589298945, + "loss": 0.0981, + "step": 986 + }, + { + "epoch": 2.44, + "learning_rate": 0.0001806343517380743, + "loss": 0.001, + "step": 987 + }, + { + "epoch": 2.44, + "learning_rate": 0.00018059602375048293, + "loss": 0.0004, + "step": 988 + }, + { + "epoch": 2.44, + "learning_rate": 0.00018055766194629715, + "loss": 0.0001, + "step": 989 + }, + { + "epoch": 2.44, + "learning_rate": 0.00018051926634161282, + "loss": 0.0004, + "step": 990 + }, + { + "epoch": 2.45, + "learning_rate": 0.00018048083695254005, + "loss": 0.0494, + "step": 991 + }, + { + "epoch": 2.45, + "learning_rate": 0.00018044237379520305, + "loss": 0.089, + "step": 992 + }, + { + "epoch": 2.45, + "learning_rate": 0.00018040387688574025, + "loss": 0.0001, + "step": 993 + }, + { + "epoch": 2.45, + "learning_rate": 0.0001803653462403043, + "loss": 0.056, + "step": 994 + }, + { + "epoch": 2.46, + "learning_rate": 0.00018032678187506187, + "loss": 0.0343, + "step": 995 + }, + { + "epoch": 2.46, + "learning_rate": 0.0001802881838061939, + "loss": 0.041, + "step": 996 + }, + { + "epoch": 2.46, + "learning_rate": 0.00018024955204989538, + "loss": 0.0631, + "step": 997 + }, + { + "epoch": 2.46, + "learning_rate": 0.00018021088662237552, + "loss": 0.0001, + "step": 998 + }, + { + "epoch": 2.47, + "learning_rate": 0.0001801721875398576, + "loss": 0.0002, + "step": 999 + }, + { + "epoch": 2.47, + "learning_rate": 0.00018013345481857903, + "loss": 0.0001, + "step": 1000 + }, + { + "epoch": 2.47, + "eval_loss": 0.016305094584822655, + "eval_runtime": 126.0835, + "eval_samples_per_second": 1.015, + "eval_steps_per_second": 0.341, + "step": 1000 + }, + { + "epoch": 2.47, + "learning_rate": 0.0001800946884747913, + "loss": 0.0365, + "step": 1001 + }, + { + "epoch": 2.47, + "learning_rate": 0.00018005588852476015, + "loss": 0.0001, + "step": 1002 + }, + { + "epoch": 2.48, + "learning_rate": 0.00018001705498476523, + "loss": 0.0412, + "step": 1003 + }, + { + "epoch": 2.48, + "learning_rate": 0.00017997818787110042, + "loss": 0.0001, + "step": 1004 + }, + { + "epoch": 2.48, + "learning_rate": 0.0001799392872000736, + "loss": 0.0001, + "step": 1005 + }, + { + "epoch": 2.48, + "learning_rate": 0.0001799003529880068, + "loss": 0.0, + "step": 1006 + }, + { + "epoch": 2.49, + "learning_rate": 0.00017986138525123607, + "loss": 0.0739, + "step": 1007 + }, + { + "epoch": 2.49, + "learning_rate": 0.0001798223840061116, + "loss": 0.0001, + "step": 1008 + }, + { + "epoch": 2.49, + "learning_rate": 0.0001797833492689975, + "loss": 0.0863, + "step": 1009 + }, + { + "epoch": 2.49, + "learning_rate": 0.00017974428105627208, + "loss": 0.0002, + "step": 1010 + }, + { + "epoch": 2.5, + "learning_rate": 0.00017970517938432765, + "loss": 0.0538, + "step": 1011 + }, + { + "epoch": 2.5, + "learning_rate": 0.00017966604426957047, + "loss": 0.0001, + "step": 1012 + }, + { + "epoch": 2.5, + "learning_rate": 0.00017962687572842102, + "loss": 0.034, + "step": 1013 + }, + { + "epoch": 2.5, + "learning_rate": 0.00017958767377731358, + "loss": 0.0001, + "step": 1014 + }, + { + "epoch": 2.51, + "learning_rate": 0.00017954843843269664, + "loss": 0.0001, + "step": 1015 + }, + { + "epoch": 2.51, + "learning_rate": 0.00017950916971103259, + "loss": 0.0001, + "step": 1016 + }, + { + "epoch": 2.51, + "learning_rate": 0.00017946986762879785, + "loss": 0.0002, + "step": 1017 + }, + { + "epoch": 2.51, + "learning_rate": 0.00017943053220248283, + "loss": 0.0489, + "step": 1018 + }, + { + "epoch": 2.52, + "learning_rate": 0.000179391163448592, + "loss": 0.0002, + "step": 1019 + }, + { + "epoch": 2.52, + "learning_rate": 0.0001793517613836437, + "loss": 0.0003, + "step": 1020 + }, + { + "epoch": 2.52, + "learning_rate": 0.00017931232602417033, + "loss": 0.0003, + "step": 1021 + }, + { + "epoch": 2.52, + "learning_rate": 0.00017927285738671825, + "loss": 0.0641, + "step": 1022 + }, + { + "epoch": 2.53, + "learning_rate": 0.00017923335548784773, + "loss": 0.0714, + "step": 1023 + }, + { + "epoch": 2.53, + "learning_rate": 0.00017919382034413305, + "loss": 0.0004, + "step": 1024 + }, + { + "epoch": 2.53, + "learning_rate": 0.00017915425197216245, + "loss": 0.0272, + "step": 1025 + }, + { + "epoch": 2.53, + "learning_rate": 0.00017911465038853805, + "loss": 0.0003, + "step": 1026 + }, + { + "epoch": 2.54, + "learning_rate": 0.00017907501560987594, + "loss": 0.0003, + "step": 1027 + }, + { + "epoch": 2.54, + "learning_rate": 0.00017903534765280614, + "loss": 0.0001, + "step": 1028 + }, + { + "epoch": 2.54, + "learning_rate": 0.00017899564653397262, + "loss": 0.0357, + "step": 1029 + }, + { + "epoch": 2.54, + "learning_rate": 0.00017895591227003315, + "loss": 0.0015, + "step": 1030 + }, + { + "epoch": 2.55, + "learning_rate": 0.00017891614487765959, + "loss": 0.0957, + "step": 1031 + }, + { + "epoch": 2.55, + "learning_rate": 0.00017887634437353754, + "loss": 0.0, + "step": 1032 + }, + { + "epoch": 2.55, + "learning_rate": 0.00017883651077436655, + "loss": 0.0377, + "step": 1033 + }, + { + "epoch": 2.55, + "learning_rate": 0.00017879664409686008, + "loss": 0.0415, + "step": 1034 + }, + { + "epoch": 2.56, + "learning_rate": 0.00017875674435774547, + "loss": 0.0002, + "step": 1035 + }, + { + "epoch": 2.56, + "learning_rate": 0.00017871681157376383, + "loss": 0.0489, + "step": 1036 + }, + { + "epoch": 2.56, + "learning_rate": 0.0001786768457616703, + "loss": 0.0478, + "step": 1037 + }, + { + "epoch": 2.56, + "learning_rate": 0.00017863684693823374, + "loss": 0.0675, + "step": 1038 + }, + { + "epoch": 2.57, + "learning_rate": 0.00017859681512023693, + "loss": 0.0002, + "step": 1039 + }, + { + "epoch": 2.57, + "learning_rate": 0.00017855675032447648, + "loss": 0.06, + "step": 1040 + }, + { + "epoch": 2.57, + "learning_rate": 0.00017851665256776283, + "loss": 0.1278, + "step": 1041 + }, + { + "epoch": 2.57, + "learning_rate": 0.00017847652186692026, + "loss": 0.0002, + "step": 1042 + }, + { + "epoch": 2.58, + "learning_rate": 0.00017843635823878686, + "loss": 0.0, + "step": 1043 + }, + { + "epoch": 2.58, + "learning_rate": 0.00017839616170021452, + "loss": 0.0441, + "step": 1044 + }, + { + "epoch": 2.58, + "learning_rate": 0.00017835593226806903, + "loss": 0.0, + "step": 1045 + }, + { + "epoch": 2.58, + "learning_rate": 0.00017831566995922985, + "loss": 0.0446, + "step": 1046 + }, + { + "epoch": 2.59, + "learning_rate": 0.00017827537479059026, + "loss": 0.0006, + "step": 1047 + }, + { + "epoch": 2.59, + "learning_rate": 0.0001782350467790575, + "loss": 0.0002, + "step": 1048 + }, + { + "epoch": 2.59, + "learning_rate": 0.00017819468594155232, + "loss": 0.0002, + "step": 1049 + }, + { + "epoch": 2.59, + "learning_rate": 0.00017815429229500946, + "loss": 0.0001, + "step": 1050 + }, + { + "epoch": 2.6, + "learning_rate": 0.00017811386585637727, + "loss": 0.0392, + "step": 1051 + }, + { + "epoch": 2.6, + "learning_rate": 0.00017807340664261802, + "loss": 0.0756, + "step": 1052 + }, + { + "epoch": 2.6, + "learning_rate": 0.0001780329146707076, + "loss": 0.0001, + "step": 1053 + }, + { + "epoch": 2.6, + "learning_rate": 0.00017799238995763568, + "loss": 0.0509, + "step": 1054 + }, + { + "epoch": 2.6, + "learning_rate": 0.00017795183252040567, + "loss": 0.0, + "step": 1055 + }, + { + "epoch": 2.61, + "learning_rate": 0.00017791124237603477, + "loss": 0.1026, + "step": 1056 + }, + { + "epoch": 2.61, + "learning_rate": 0.00017787061954155378, + "loss": 0.0004, + "step": 1057 + }, + { + "epoch": 2.61, + "learning_rate": 0.00017782996403400736, + "loss": 0.0395, + "step": 1058 + }, + { + "epoch": 2.61, + "learning_rate": 0.00017778927587045373, + "loss": 0.029, + "step": 1059 + }, + { + "epoch": 2.62, + "learning_rate": 0.00017774855506796496, + "loss": 0.0002, + "step": 1060 + }, + { + "epoch": 2.62, + "learning_rate": 0.00017770780164362665, + "loss": 0.0211, + "step": 1061 + }, + { + "epoch": 2.62, + "learning_rate": 0.0001776670156145383, + "loss": 0.0596, + "step": 1062 + }, + { + "epoch": 2.62, + "learning_rate": 0.00017762619699781287, + "loss": 0.0001, + "step": 1063 + }, + { + "epoch": 2.63, + "learning_rate": 0.00017758534581057718, + "loss": 0.0499, + "step": 1064 + }, + { + "epoch": 2.63, + "learning_rate": 0.0001775444620699715, + "loss": 0.043, + "step": 1065 + }, + { + "epoch": 2.63, + "learning_rate": 0.00017750354579315004, + "loss": 0.0527, + "step": 1066 + }, + { + "epoch": 2.63, + "learning_rate": 0.00017746259699728042, + "loss": 0.0855, + "step": 1067 + }, + { + "epoch": 2.64, + "learning_rate": 0.00017742161569954398, + "loss": 0.0002, + "step": 1068 + }, + { + "epoch": 2.64, + "learning_rate": 0.0001773806019171358, + "loss": 0.076, + "step": 1069 + }, + { + "epoch": 2.64, + "learning_rate": 0.0001773395556672644, + "loss": 0.03, + "step": 1070 + }, + { + "epoch": 2.64, + "learning_rate": 0.0001772984769671521, + "loss": 0.0593, + "step": 1071 + }, + { + "epoch": 2.65, + "learning_rate": 0.0001772573658340347, + "loss": 0.0493, + "step": 1072 + }, + { + "epoch": 2.65, + "learning_rate": 0.0001772162222851617, + "loss": 0.0007, + "step": 1073 + }, + { + "epoch": 2.65, + "learning_rate": 0.0001771750463377962, + "loss": 0.0033, + "step": 1074 + }, + { + "epoch": 2.65, + "learning_rate": 0.00017713383800921478, + "loss": 0.0019, + "step": 1075 + }, + { + "epoch": 2.66, + "learning_rate": 0.00017709259731670774, + "loss": 0.0031, + "step": 1076 + }, + { + "epoch": 2.66, + "learning_rate": 0.00017705132427757895, + "loss": 0.0028, + "step": 1077 + }, + { + "epoch": 2.66, + "learning_rate": 0.00017701001890914572, + "loss": 0.0003, + "step": 1078 + }, + { + "epoch": 2.66, + "learning_rate": 0.00017696868122873909, + "loss": 0.0786, + "step": 1079 + }, + { + "epoch": 2.67, + "learning_rate": 0.00017692731125370354, + "loss": 0.0496, + "step": 1080 + }, + { + "epoch": 2.67, + "learning_rate": 0.00017688590900139715, + "loss": 0.1294, + "step": 1081 + }, + { + "epoch": 2.67, + "learning_rate": 0.00017684447448919154, + "loss": 0.0002, + "step": 1082 + }, + { + "epoch": 2.67, + "learning_rate": 0.0001768030077344719, + "loss": 0.0002, + "step": 1083 + }, + { + "epoch": 2.68, + "learning_rate": 0.00017676150875463686, + "loss": 0.0001, + "step": 1084 + }, + { + "epoch": 2.68, + "learning_rate": 0.00017671997756709863, + "loss": 0.0803, + "step": 1085 + }, + { + "epoch": 2.68, + "learning_rate": 0.0001766784141892829, + "loss": 0.0232, + "step": 1086 + }, + { + "epoch": 2.68, + "learning_rate": 0.00017663681863862895, + "loss": 0.0001, + "step": 1087 + }, + { + "epoch": 2.69, + "learning_rate": 0.0001765951909325895, + "loss": 0.0522, + "step": 1088 + }, + { + "epoch": 2.69, + "learning_rate": 0.00017655353108863068, + "loss": 0.0008, + "step": 1089 + }, + { + "epoch": 2.69, + "learning_rate": 0.00017651183912423228, + "loss": 0.0002, + "step": 1090 + }, + { + "epoch": 2.69, + "learning_rate": 0.00017647011505688743, + "loss": 0.0001, + "step": 1091 + }, + { + "epoch": 2.7, + "learning_rate": 0.0001764283589041028, + "loss": 0.0002, + "step": 1092 + }, + { + "epoch": 2.7, + "learning_rate": 0.00017638657068339843, + "loss": 0.0428, + "step": 1093 + }, + { + "epoch": 2.7, + "learning_rate": 0.00017634475041230797, + "loss": 0.0351, + "step": 1094 + }, + { + "epoch": 2.7, + "learning_rate": 0.00017630289810837834, + "loss": 0.0647, + "step": 1095 + }, + { + "epoch": 2.71, + "learning_rate": 0.00017626101378917004, + "loss": 0.0181, + "step": 1096 + }, + { + "epoch": 2.71, + "learning_rate": 0.00017621909747225697, + "loss": 0.0277, + "step": 1097 + }, + { + "epoch": 2.71, + "learning_rate": 0.0001761771491752264, + "loss": 0.0002, + "step": 1098 + }, + { + "epoch": 2.71, + "learning_rate": 0.00017613516891567906, + "loss": 0.0001, + "step": 1099 + }, + { + "epoch": 2.72, + "learning_rate": 0.0001760931567112291, + "loss": 0.0006, + "step": 1100 + }, + { + "epoch": 2.72, + "learning_rate": 0.00017605111257950408, + "loss": 0.0002, + "step": 1101 + }, + { + "epoch": 2.72, + "learning_rate": 0.0001760090365381449, + "loss": 0.065, + "step": 1102 + }, + { + "epoch": 2.72, + "learning_rate": 0.00017596692860480593, + "loss": 0.0582, + "step": 1103 + }, + { + "epoch": 2.73, + "learning_rate": 0.0001759247887971548, + "loss": 0.0932, + "step": 1104 + }, + { + "epoch": 2.73, + "learning_rate": 0.00017588261713287267, + "loss": 0.0686, + "step": 1105 + }, + { + "epoch": 2.73, + "learning_rate": 0.00017584041362965396, + "loss": 0.0451, + "step": 1106 + }, + { + "epoch": 2.73, + "learning_rate": 0.00017579817830520644, + "loss": 0.0481, + "step": 1107 + }, + { + "epoch": 2.74, + "learning_rate": 0.0001757559111772513, + "loss": 0.0387, + "step": 1108 + }, + { + "epoch": 2.74, + "learning_rate": 0.00017571361226352306, + "loss": 0.0003, + "step": 1109 + }, + { + "epoch": 2.74, + "learning_rate": 0.00017567128158176953, + "loss": 0.0873, + "step": 1110 + }, + { + "epoch": 2.74, + "learning_rate": 0.0001756289191497519, + "loss": 0.0605, + "step": 1111 + }, + { + "epoch": 2.75, + "learning_rate": 0.0001755865249852446, + "loss": 0.0674, + "step": 1112 + }, + { + "epoch": 2.75, + "learning_rate": 0.00017554409910603552, + "loss": 0.0238, + "step": 1113 + }, + { + "epoch": 2.75, + "learning_rate": 0.00017550164152992573, + "loss": 0.0009, + "step": 1114 + }, + { + "epoch": 2.75, + "learning_rate": 0.00017545915227472965, + "loss": 0.074, + "step": 1115 + }, + { + "epoch": 2.76, + "learning_rate": 0.00017541663135827492, + "loss": 0.0561, + "step": 1116 + }, + { + "epoch": 2.76, + "learning_rate": 0.00017537407879840265, + "loss": 0.0347, + "step": 1117 + }, + { + "epoch": 2.76, + "learning_rate": 0.000175331494612967, + "loss": 0.0088, + "step": 1118 + }, + { + "epoch": 2.76, + "learning_rate": 0.0001752888788198355, + "loss": 0.0704, + "step": 1119 + }, + { + "epoch": 2.77, + "learning_rate": 0.00017524623143688902, + "loss": 0.0011, + "step": 1120 + }, + { + "epoch": 2.77, + "learning_rate": 0.00017520355248202158, + "loss": 0.1127, + "step": 1121 + }, + { + "epoch": 2.77, + "learning_rate": 0.00017516084197314046, + "loss": 0.0006, + "step": 1122 + }, + { + "epoch": 2.77, + "learning_rate": 0.00017511809992816618, + "loss": 0.0438, + "step": 1123 + }, + { + "epoch": 2.78, + "learning_rate": 0.00017507532636503256, + "loss": 0.0614, + "step": 1124 + }, + { + "epoch": 2.78, + "learning_rate": 0.00017503252130168657, + "loss": 0.0639, + "step": 1125 + }, + { + "epoch": 2.78, + "learning_rate": 0.00017498968475608838, + "loss": 0.0354, + "step": 1126 + }, + { + "epoch": 2.78, + "learning_rate": 0.00017494681674621148, + "loss": 0.027, + "step": 1127 + }, + { + "epoch": 2.79, + "learning_rate": 0.00017490391729004244, + "loss": 0.0001, + "step": 1128 + }, + { + "epoch": 2.79, + "learning_rate": 0.00017486098640558107, + "loss": 0.0002, + "step": 1129 + }, + { + "epoch": 2.79, + "learning_rate": 0.00017481802411084042, + "loss": 0.0538, + "step": 1130 + }, + { + "epoch": 2.79, + "learning_rate": 0.0001747750304238466, + "loss": 0.0674, + "step": 1131 + }, + { + "epoch": 2.8, + "learning_rate": 0.00017473200536263905, + "loss": 0.0974, + "step": 1132 + }, + { + "epoch": 2.8, + "learning_rate": 0.0001746889489452702, + "loss": 0.0006, + "step": 1133 + }, + { + "epoch": 2.8, + "learning_rate": 0.0001746458611898058, + "loss": 0.0003, + "step": 1134 + }, + { + "epoch": 2.8, + "learning_rate": 0.0001746027421143246, + "loss": 0.0523, + "step": 1135 + }, + { + "epoch": 2.8, + "learning_rate": 0.00017455959173691863, + "loss": 0.0002, + "step": 1136 + }, + { + "epoch": 2.81, + "learning_rate": 0.00017451641007569296, + "loss": 0.0055, + "step": 1137 + }, + { + "epoch": 2.81, + "learning_rate": 0.00017447319714876579, + "loss": 0.0359, + "step": 1138 + }, + { + "epoch": 2.81, + "learning_rate": 0.00017442995297426846, + "loss": 0.0001, + "step": 1139 + }, + { + "epoch": 2.81, + "learning_rate": 0.00017438667757034546, + "loss": 0.0001, + "step": 1140 + }, + { + "epoch": 2.82, + "learning_rate": 0.00017434337095515432, + "loss": 0.0604, + "step": 1141 + }, + { + "epoch": 2.82, + "learning_rate": 0.00017430003314686569, + "loss": 0.0363, + "step": 1142 + }, + { + "epoch": 2.82, + "learning_rate": 0.00017425666416366332, + "loss": 0.0013, + "step": 1143 + }, + { + "epoch": 2.82, + "learning_rate": 0.00017421326402374405, + "loss": 0.0001, + "step": 1144 + }, + { + "epoch": 2.83, + "learning_rate": 0.00017416983274531775, + "loss": 0.1052, + "step": 1145 + }, + { + "epoch": 2.83, + "learning_rate": 0.00017412637034660734, + "loss": 0.0003, + "step": 1146 + }, + { + "epoch": 2.83, + "learning_rate": 0.0001740828768458489, + "loss": 0.0323, + "step": 1147 + }, + { + "epoch": 2.83, + "learning_rate": 0.0001740393522612915, + "loss": 0.0317, + "step": 1148 + }, + { + "epoch": 2.84, + "learning_rate": 0.00017399579661119715, + "loss": 0.0001, + "step": 1149 + }, + { + "epoch": 2.84, + "learning_rate": 0.0001739522099138411, + "loss": 0.0003, + "step": 1150 + }, + { + "epoch": 2.84, + "learning_rate": 0.00017390859218751142, + "loss": 0.0001, + "step": 1151 + }, + { + "epoch": 2.84, + "learning_rate": 0.00017386494345050942, + "loss": 0.0008, + "step": 1152 + }, + { + "epoch": 2.85, + "learning_rate": 0.0001738212637211492, + "loss": 0.0334, + "step": 1153 + }, + { + "epoch": 2.85, + "learning_rate": 0.000173777553017758, + "loss": 0.0001, + "step": 1154 + }, + { + "epoch": 2.85, + "learning_rate": 0.00017373381135867604, + "loss": 0.0549, + "step": 1155 + }, + { + "epoch": 2.85, + "learning_rate": 0.00017369003876225642, + "loss": 0.0469, + "step": 1156 + }, + { + "epoch": 2.86, + "learning_rate": 0.00017364623524686543, + "loss": 0.0053, + "step": 1157 + }, + { + "epoch": 2.86, + "learning_rate": 0.00017360240083088213, + "loss": 0.0833, + "step": 1158 + }, + { + "epoch": 2.86, + "learning_rate": 0.00017355853553269865, + "loss": 0.0145, + "step": 1159 + }, + { + "epoch": 2.86, + "learning_rate": 0.00017351463937072004, + "loss": 0.0002, + "step": 1160 + }, + { + "epoch": 2.87, + "learning_rate": 0.00017347071236336437, + "loss": 0.042, + "step": 1161 + }, + { + "epoch": 2.87, + "learning_rate": 0.00017342675452906248, + "loss": 0.0001, + "step": 1162 + }, + { + "epoch": 2.87, + "learning_rate": 0.00017338276588625839, + "loss": 0.002, + "step": 1163 + }, + { + "epoch": 2.87, + "learning_rate": 0.00017333874645340884, + "loss": 0.0003, + "step": 1164 + }, + { + "epoch": 2.88, + "learning_rate": 0.0001732946962489836, + "loss": 0.0416, + "step": 1165 + }, + { + "epoch": 2.88, + "learning_rate": 0.0001732506152914653, + "loss": 0.0002, + "step": 1166 + }, + { + "epoch": 2.88, + "learning_rate": 0.0001732065035993495, + "loss": 0.0005, + "step": 1167 + }, + { + "epoch": 2.88, + "learning_rate": 0.00017316236119114463, + "loss": 0.0531, + "step": 1168 + }, + { + "epoch": 2.89, + "learning_rate": 0.00017311818808537206, + "loss": 0.0492, + "step": 1169 + }, + { + "epoch": 2.89, + "learning_rate": 0.00017307398430056593, + "loss": 0.0001, + "step": 1170 + }, + { + "epoch": 2.89, + "learning_rate": 0.00017302974985527344, + "loss": 0.0001, + "step": 1171 + }, + { + "epoch": 2.89, + "learning_rate": 0.00017298548476805446, + "loss": 0.0628, + "step": 1172 + }, + { + "epoch": 2.9, + "learning_rate": 0.00017294118905748182, + "loss": 0.0001, + "step": 1173 + }, + { + "epoch": 2.9, + "learning_rate": 0.00017289686274214118, + "loss": 0.0185, + "step": 1174 + }, + { + "epoch": 2.9, + "learning_rate": 0.000172852505840631, + "loss": 0.0002, + "step": 1175 + }, + { + "epoch": 2.9, + "learning_rate": 0.00017280811837156268, + "loss": 0.0005, + "step": 1176 + }, + { + "epoch": 2.91, + "learning_rate": 0.00017276370035356034, + "loss": 0.0421, + "step": 1177 + }, + { + "epoch": 2.91, + "learning_rate": 0.00017271925180526094, + "loss": 0.0001, + "step": 1178 + }, + { + "epoch": 2.91, + "learning_rate": 0.00017267477274531432, + "loss": 0.0001, + "step": 1179 + }, + { + "epoch": 2.91, + "learning_rate": 0.00017263026319238301, + "loss": 0.0001, + "step": 1180 + }, + { + "epoch": 2.92, + "learning_rate": 0.0001725857231651424, + "loss": 0.0001, + "step": 1181 + }, + { + "epoch": 2.92, + "learning_rate": 0.0001725411526822807, + "loss": 0.0469, + "step": 1182 + }, + { + "epoch": 2.92, + "learning_rate": 0.00017249655176249882, + "loss": 0.0001, + "step": 1183 + }, + { + "epoch": 2.92, + "learning_rate": 0.0001724519204245105, + "loss": 0.0001, + "step": 1184 + }, + { + "epoch": 2.93, + "learning_rate": 0.00017240725868704218, + "loss": 0.0003, + "step": 1185 + }, + { + "epoch": 2.93, + "learning_rate": 0.0001723625665688331, + "loss": 0.0418, + "step": 1186 + }, + { + "epoch": 2.93, + "learning_rate": 0.00017231784408863532, + "loss": 0.0004, + "step": 1187 + }, + { + "epoch": 2.93, + "learning_rate": 0.00017227309126521348, + "loss": 0.0002, + "step": 1188 + }, + { + "epoch": 2.94, + "learning_rate": 0.00017222830811734502, + "loss": 0.0245, + "step": 1189 + }, + { + "epoch": 2.94, + "learning_rate": 0.00017218349466382023, + "loss": 0.0334, + "step": 1190 + }, + { + "epoch": 2.94, + "learning_rate": 0.00017213865092344187, + "loss": 0.0004, + "step": 1191 + }, + { + "epoch": 2.94, + "learning_rate": 0.00017209377691502565, + "loss": 0.0001, + "step": 1192 + }, + { + "epoch": 2.95, + "learning_rate": 0.00017204887265739977, + "loss": 0.0459, + "step": 1193 + }, + { + "epoch": 2.95, + "learning_rate": 0.0001720039381694053, + "loss": 0.0371, + "step": 1194 + }, + { + "epoch": 2.95, + "learning_rate": 0.0001719589734698959, + "loss": 0.0001, + "step": 1195 + }, + { + "epoch": 2.95, + "learning_rate": 0.00017191397857773788, + "loss": 0.0014, + "step": 1196 + }, + { + "epoch": 2.96, + "learning_rate": 0.00017186895351181032, + "loss": 0.0002, + "step": 1197 + }, + { + "epoch": 2.96, + "learning_rate": 0.00017182389829100485, + "loss": 0.0001, + "step": 1198 + }, + { + "epoch": 2.96, + "learning_rate": 0.00017177881293422583, + "loss": 0.0413, + "step": 1199 + }, + { + "epoch": 2.96, + "learning_rate": 0.00017173369746039025, + "loss": 0.0001, + "step": 1200 + }, + { + "epoch": 2.96, + "eval_loss": 0.014002716168761253, + "eval_runtime": 126.0996, + "eval_samples_per_second": 1.015, + "eval_steps_per_second": 0.341, + "step": 1200 + }, + { + "epoch": 2.97, + "learning_rate": 0.00017168855188842773, + "loss": 0.0004, + "step": 1201 + }, + { + "epoch": 2.97, + "learning_rate": 0.00017164337623728045, + "loss": 0.0012, + "step": 1202 + }, + { + "epoch": 2.97, + "learning_rate": 0.0001715981705259033, + "loss": 0.0001, + "step": 1203 + }, + { + "epoch": 2.97, + "learning_rate": 0.00017155293477326384, + "loss": 0.0009, + "step": 1204 + }, + { + "epoch": 2.98, + "learning_rate": 0.00017150766899834204, + "loss": 0.0307, + "step": 1205 + }, + { + "epoch": 2.98, + "learning_rate": 0.00017146237322013068, + "loss": 0.024, + "step": 1206 + }, + { + "epoch": 2.98, + "learning_rate": 0.00017141704745763492, + "loss": 0.0002, + "step": 1207 + }, + { + "epoch": 2.98, + "learning_rate": 0.00017137169172987268, + "loss": 0.0417, + "step": 1208 + }, + { + "epoch": 2.99, + "learning_rate": 0.00017132630605587435, + "loss": 0.0655, + "step": 1209 + }, + { + "epoch": 2.99, + "learning_rate": 0.00017128089045468294, + "loss": 0.0002, + "step": 1210 + }, + { + "epoch": 2.99, + "learning_rate": 0.00017123544494535397, + "loss": 0.0001, + "step": 1211 + }, + { + "epoch": 2.99, + "learning_rate": 0.00017118996954695553, + "loss": 0.091, + "step": 1212 + }, + { + "epoch": 3.0, + "learning_rate": 0.00017114446427856828, + "loss": 0.0471, + "step": 1213 + }, + { + "epoch": 3.0, + "learning_rate": 0.00017109892915928535, + "loss": 0.0436, + "step": 1214 + }, + { + "epoch": 3.0, + "learning_rate": 0.00017105336420821247, + "loss": 0.0, + "step": 1215 + } + ], + "logging_steps": 1, + "max_steps": 4860, + "num_input_tokens_seen": 0, + "num_train_epochs": 12, + "save_steps": 500, + "total_flos": 1.8178730075703214e+18, + "train_batch_size": 3, + "trial_name": null, + "trial_params": null +}