diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,5173 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.9976717112922002, + "global_step": 858, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0, + "loss": 1.0483, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 4.254921071067263e-06, + "loss": 1.0225, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 6.743890341169911e-06, + "loss": 1.0688, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 8.509842142134527e-06, + "loss": 1.1475, + "step": 4 + }, + { + "epoch": 0.01, + "learning_rate": 9.879620776439306e-06, + "loss": 1.0583, + "step": 5 + }, + { + "epoch": 0.01, + "learning_rate": 1.0998811412237173e-05, + "loss": 0.9918, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 1.1945073611827293e-05, + "loss": 1.093, + "step": 7 + }, + { + "epoch": 0.02, + "learning_rate": 1.276476321320179e-05, + "loss": 1.0069, + "step": 8 + }, + { + "epoch": 0.02, + "learning_rate": 1.3487780682339822e-05, + "loss": 1.0096, + "step": 9 + }, + { + "epoch": 0.02, + "learning_rate": 1.4134541847506571e-05, + "loss": 1.0619, + "step": 10 + }, + { + "epoch": 0.03, + "learning_rate": 1.4719608488056167e-05, + "loss": 1.0169, + "step": 11 + }, + { + "epoch": 0.03, + "learning_rate": 1.5253732483304438e-05, + "loss": 0.9398, + "step": 12 + }, + { + "epoch": 0.03, + "learning_rate": 1.574507892893274e-05, + "loss": 0.9938, + "step": 13 + }, + { + "epoch": 0.03, + "learning_rate": 1.6199994682894558e-05, + "loss": 1.027, + "step": 14 + }, + { + "epoch": 0.03, + "learning_rate": 1.6623511117609218e-05, + "loss": 1.0992, + "step": 15 + }, + { + "epoch": 0.04, + "learning_rate": 1.7019684284269053e-05, + "loss": 0.9846, + "step": 16 + }, + { + "epoch": 0.04, + "learning_rate": 1.7391831770440535e-05, + "loss": 1.0349, + "step": 17 + }, + { + "epoch": 0.04, + "learning_rate": 1.7742701753407083e-05, + "loss": 1.0182, + "step": 18 + }, + { + "epoch": 0.04, + "learning_rate": 1.8074596285317475e-05, + "loss": 1.1008, + "step": 19 + }, + { + "epoch": 0.05, + "learning_rate": 1.838946291857383e-05, + "loss": 0.9999, + "step": 20 + }, + { + "epoch": 0.05, + "learning_rate": 1.8688963952997205e-05, + "loss": 0.9905, + "step": 21 + }, + { + "epoch": 0.05, + "learning_rate": 1.8974529559123432e-05, + "loss": 0.8672, + "step": 22 + }, + { + "epoch": 0.05, + "learning_rate": 1.924739908310523e-05, + "loss": 1.037, + "step": 23 + }, + { + "epoch": 0.06, + "learning_rate": 1.95086535543717e-05, + "loss": 0.9963, + "step": 24 + }, + { + "epoch": 0.06, + "learning_rate": 1.9759241552878612e-05, + "loss": 1.0142, + "step": 25 + }, + { + "epoch": 0.06, + "learning_rate": 2e-05, + "loss": 0.9938, + "step": 26 + }, + { + "epoch": 0.06, + "learning_rate": 2e-05, + "loss": 0.9289, + "step": 27 + }, + { + "epoch": 0.07, + "learning_rate": 1.9975961538461538e-05, + "loss": 1.0366, + "step": 28 + }, + { + "epoch": 0.07, + "learning_rate": 1.9951923076923078e-05, + "loss": 0.9987, + "step": 29 + }, + { + "epoch": 0.07, + "learning_rate": 1.9927884615384617e-05, + "loss": 0.9719, + "step": 30 + }, + { + "epoch": 0.07, + "learning_rate": 1.9903846153846157e-05, + "loss": 0.9121, + "step": 31 + }, + { + "epoch": 0.07, + "learning_rate": 1.9879807692307693e-05, + "loss": 1.0601, + "step": 32 + }, + { + "epoch": 0.08, + "learning_rate": 1.9855769230769233e-05, + "loss": 1.0092, + "step": 33 + }, + { + "epoch": 0.08, + "learning_rate": 1.983173076923077e-05, + "loss": 0.9153, + "step": 34 + }, + { + "epoch": 0.08, + "learning_rate": 1.980769230769231e-05, + "loss": 0.977, + "step": 35 + }, + { + "epoch": 0.08, + "learning_rate": 1.978365384615385e-05, + "loss": 0.887, + "step": 36 + }, + { + "epoch": 0.09, + "learning_rate": 1.975961538461539e-05, + "loss": 0.9918, + "step": 37 + }, + { + "epoch": 0.09, + "learning_rate": 1.9735576923076925e-05, + "loss": 0.95, + "step": 38 + }, + { + "epoch": 0.09, + "learning_rate": 1.9711538461538465e-05, + "loss": 0.925, + "step": 39 + }, + { + "epoch": 0.09, + "learning_rate": 1.96875e-05, + "loss": 1.0034, + "step": 40 + }, + { + "epoch": 0.1, + "learning_rate": 1.966346153846154e-05, + "loss": 0.9703, + "step": 41 + }, + { + "epoch": 0.1, + "learning_rate": 1.963942307692308e-05, + "loss": 0.9166, + "step": 42 + }, + { + "epoch": 0.1, + "learning_rate": 1.9615384615384617e-05, + "loss": 0.9871, + "step": 43 + }, + { + "epoch": 0.1, + "learning_rate": 1.9591346153846156e-05, + "loss": 0.919, + "step": 44 + }, + { + "epoch": 0.1, + "learning_rate": 1.9567307692307693e-05, + "loss": 1.0032, + "step": 45 + }, + { + "epoch": 0.11, + "learning_rate": 1.9543269230769232e-05, + "loss": 0.9304, + "step": 46 + }, + { + "epoch": 0.11, + "learning_rate": 1.9519230769230772e-05, + "loss": 0.9259, + "step": 47 + }, + { + "epoch": 0.11, + "learning_rate": 1.949519230769231e-05, + "loss": 0.956, + "step": 48 + }, + { + "epoch": 0.11, + "learning_rate": 1.9471153846153848e-05, + "loss": 0.812, + "step": 49 + }, + { + "epoch": 0.12, + "learning_rate": 1.9447115384615388e-05, + "loss": 1.0034, + "step": 50 + }, + { + "epoch": 0.12, + "learning_rate": 1.9423076923076924e-05, + "loss": 0.9806, + "step": 51 + }, + { + "epoch": 0.12, + "learning_rate": 1.9399038461538464e-05, + "loss": 0.8682, + "step": 52 + }, + { + "epoch": 0.12, + "learning_rate": 1.9375e-05, + "loss": 0.8552, + "step": 53 + }, + { + "epoch": 0.13, + "learning_rate": 1.935096153846154e-05, + "loss": 0.8743, + "step": 54 + }, + { + "epoch": 0.13, + "learning_rate": 1.932692307692308e-05, + "loss": 0.8649, + "step": 55 + }, + { + "epoch": 0.13, + "learning_rate": 1.9302884615384616e-05, + "loss": 0.899, + "step": 56 + }, + { + "epoch": 0.13, + "learning_rate": 1.9278846153846155e-05, + "loss": 0.8708, + "step": 57 + }, + { + "epoch": 0.14, + "learning_rate": 1.9254807692307692e-05, + "loss": 0.8936, + "step": 58 + }, + { + "epoch": 0.14, + "learning_rate": 1.923076923076923e-05, + "loss": 0.9183, + "step": 59 + }, + { + "epoch": 0.14, + "learning_rate": 1.920673076923077e-05, + "loss": 0.9631, + "step": 60 + }, + { + "epoch": 0.14, + "learning_rate": 1.918269230769231e-05, + "loss": 0.8698, + "step": 61 + }, + { + "epoch": 0.14, + "learning_rate": 1.9158653846153847e-05, + "loss": 0.8682, + "step": 62 + }, + { + "epoch": 0.15, + "learning_rate": 1.9134615384615387e-05, + "loss": 0.9105, + "step": 63 + }, + { + "epoch": 0.15, + "learning_rate": 1.9110576923076923e-05, + "loss": 0.8857, + "step": 64 + }, + { + "epoch": 0.15, + "learning_rate": 1.9086538461538463e-05, + "loss": 0.8901, + "step": 65 + }, + { + "epoch": 0.15, + "learning_rate": 1.9062500000000003e-05, + "loss": 0.9125, + "step": 66 + }, + { + "epoch": 0.16, + "learning_rate": 1.903846153846154e-05, + "loss": 0.9316, + "step": 67 + }, + { + "epoch": 0.16, + "learning_rate": 1.901442307692308e-05, + "loss": 0.8408, + "step": 68 + }, + { + "epoch": 0.16, + "learning_rate": 1.8990384615384615e-05, + "loss": 0.8707, + "step": 69 + }, + { + "epoch": 0.16, + "learning_rate": 1.8966346153846155e-05, + "loss": 0.814, + "step": 70 + }, + { + "epoch": 0.17, + "learning_rate": 1.8942307692307694e-05, + "loss": 0.9611, + "step": 71 + }, + { + "epoch": 0.17, + "learning_rate": 1.8918269230769234e-05, + "loss": 0.9297, + "step": 72 + }, + { + "epoch": 0.17, + "learning_rate": 1.889423076923077e-05, + "loss": 0.8387, + "step": 73 + }, + { + "epoch": 0.17, + "learning_rate": 1.887019230769231e-05, + "loss": 0.8318, + "step": 74 + }, + { + "epoch": 0.17, + "learning_rate": 1.8846153846153846e-05, + "loss": 0.8801, + "step": 75 + }, + { + "epoch": 0.18, + "learning_rate": 1.8822115384615386e-05, + "loss": 0.8473, + "step": 76 + }, + { + "epoch": 0.18, + "learning_rate": 1.8798076923076926e-05, + "loss": 0.8585, + "step": 77 + }, + { + "epoch": 0.18, + "learning_rate": 1.8774038461538465e-05, + "loss": 0.91, + "step": 78 + }, + { + "epoch": 0.18, + "learning_rate": 1.8750000000000002e-05, + "loss": 0.8803, + "step": 79 + }, + { + "epoch": 0.19, + "learning_rate": 1.8725961538461538e-05, + "loss": 0.8976, + "step": 80 + }, + { + "epoch": 0.19, + "learning_rate": 1.8701923076923078e-05, + "loss": 0.9128, + "step": 81 + }, + { + "epoch": 0.19, + "learning_rate": 1.8677884615384617e-05, + "loss": 0.8877, + "step": 82 + }, + { + "epoch": 0.19, + "learning_rate": 1.8653846153846157e-05, + "loss": 0.8564, + "step": 83 + }, + { + "epoch": 0.2, + "learning_rate": 1.8629807692307693e-05, + "loss": 0.7911, + "step": 84 + }, + { + "epoch": 0.2, + "learning_rate": 1.8605769230769233e-05, + "loss": 0.8331, + "step": 85 + }, + { + "epoch": 0.2, + "learning_rate": 1.858173076923077e-05, + "loss": 0.8848, + "step": 86 + }, + { + "epoch": 0.2, + "learning_rate": 1.855769230769231e-05, + "loss": 0.8896, + "step": 87 + }, + { + "epoch": 0.2, + "learning_rate": 1.853365384615385e-05, + "loss": 0.842, + "step": 88 + }, + { + "epoch": 0.21, + "learning_rate": 1.850961538461539e-05, + "loss": 0.8668, + "step": 89 + }, + { + "epoch": 0.21, + "learning_rate": 1.8485576923076925e-05, + "loss": 0.7879, + "step": 90 + }, + { + "epoch": 0.21, + "learning_rate": 1.8461538461538465e-05, + "loss": 0.8392, + "step": 91 + }, + { + "epoch": 0.21, + "learning_rate": 1.84375e-05, + "loss": 0.8157, + "step": 92 + }, + { + "epoch": 0.22, + "learning_rate": 1.841346153846154e-05, + "loss": 0.8149, + "step": 93 + }, + { + "epoch": 0.22, + "learning_rate": 1.8389423076923077e-05, + "loss": 0.8053, + "step": 94 + }, + { + "epoch": 0.22, + "learning_rate": 1.8365384615384617e-05, + "loss": 0.9207, + "step": 95 + }, + { + "epoch": 0.22, + "learning_rate": 1.8341346153846156e-05, + "loss": 0.7988, + "step": 96 + }, + { + "epoch": 0.23, + "learning_rate": 1.8317307692307693e-05, + "loss": 0.8393, + "step": 97 + }, + { + "epoch": 0.23, + "learning_rate": 1.8293269230769232e-05, + "loss": 0.8953, + "step": 98 + }, + { + "epoch": 0.23, + "learning_rate": 1.826923076923077e-05, + "loss": 0.8559, + "step": 99 + }, + { + "epoch": 0.23, + "learning_rate": 1.824519230769231e-05, + "loss": 0.8547, + "step": 100 + }, + { + "epoch": 0.24, + "learning_rate": 1.8221153846153848e-05, + "loss": 0.8414, + "step": 101 + }, + { + "epoch": 0.24, + "learning_rate": 1.8197115384615388e-05, + "loss": 0.8191, + "step": 102 + }, + { + "epoch": 0.24, + "learning_rate": 1.8173076923076924e-05, + "loss": 0.805, + "step": 103 + }, + { + "epoch": 0.24, + "learning_rate": 1.8149038461538464e-05, + "loss": 0.7944, + "step": 104 + }, + { + "epoch": 0.24, + "learning_rate": 1.8125e-05, + "loss": 0.7968, + "step": 105 + }, + { + "epoch": 0.25, + "learning_rate": 1.810096153846154e-05, + "loss": 0.8526, + "step": 106 + }, + { + "epoch": 0.25, + "learning_rate": 1.807692307692308e-05, + "loss": 0.8057, + "step": 107 + }, + { + "epoch": 0.25, + "learning_rate": 1.8052884615384616e-05, + "loss": 0.7905, + "step": 108 + }, + { + "epoch": 0.25, + "learning_rate": 1.8028846153846156e-05, + "loss": 0.8364, + "step": 109 + }, + { + "epoch": 0.26, + "learning_rate": 1.8004807692307692e-05, + "loss": 0.8054, + "step": 110 + }, + { + "epoch": 0.26, + "learning_rate": 1.798076923076923e-05, + "loss": 0.8042, + "step": 111 + }, + { + "epoch": 0.26, + "learning_rate": 1.795673076923077e-05, + "loss": 0.8093, + "step": 112 + }, + { + "epoch": 0.26, + "learning_rate": 1.793269230769231e-05, + "loss": 0.7838, + "step": 113 + }, + { + "epoch": 0.27, + "learning_rate": 1.7908653846153847e-05, + "loss": 0.8363, + "step": 114 + }, + { + "epoch": 0.27, + "learning_rate": 1.7884615384615387e-05, + "loss": 0.8099, + "step": 115 + }, + { + "epoch": 0.27, + "learning_rate": 1.7860576923076923e-05, + "loss": 0.766, + "step": 116 + }, + { + "epoch": 0.27, + "learning_rate": 1.7836538461538463e-05, + "loss": 0.7759, + "step": 117 + }, + { + "epoch": 0.27, + "learning_rate": 1.7812500000000003e-05, + "loss": 0.7889, + "step": 118 + }, + { + "epoch": 0.28, + "learning_rate": 1.778846153846154e-05, + "loss": 0.7188, + "step": 119 + }, + { + "epoch": 0.28, + "learning_rate": 1.776442307692308e-05, + "loss": 0.7963, + "step": 120 + }, + { + "epoch": 0.28, + "learning_rate": 1.7740384615384615e-05, + "loss": 0.8051, + "step": 121 + }, + { + "epoch": 0.28, + "learning_rate": 1.7716346153846155e-05, + "loss": 0.7253, + "step": 122 + }, + { + "epoch": 0.29, + "learning_rate": 1.7692307692307694e-05, + "loss": 0.859, + "step": 123 + }, + { + "epoch": 0.29, + "learning_rate": 1.7668269230769234e-05, + "loss": 0.7741, + "step": 124 + }, + { + "epoch": 0.29, + "learning_rate": 1.764423076923077e-05, + "loss": 0.8616, + "step": 125 + }, + { + "epoch": 0.29, + "learning_rate": 1.762019230769231e-05, + "loss": 0.7991, + "step": 126 + }, + { + "epoch": 0.3, + "learning_rate": 1.7596153846153846e-05, + "loss": 0.7313, + "step": 127 + }, + { + "epoch": 0.3, + "learning_rate": 1.7572115384615386e-05, + "loss": 0.8015, + "step": 128 + }, + { + "epoch": 0.3, + "learning_rate": 1.7548076923076926e-05, + "loss": 0.8326, + "step": 129 + }, + { + "epoch": 0.3, + "learning_rate": 1.7524038461538466e-05, + "loss": 0.8223, + "step": 130 + }, + { + "epoch": 0.31, + "learning_rate": 1.7500000000000002e-05, + "loss": 0.835, + "step": 131 + }, + { + "epoch": 0.31, + "learning_rate": 1.7475961538461538e-05, + "loss": 0.7557, + "step": 132 + }, + { + "epoch": 0.31, + "learning_rate": 1.7451923076923078e-05, + "loss": 0.8201, + "step": 133 + }, + { + "epoch": 0.31, + "learning_rate": 1.7427884615384618e-05, + "loss": 0.7927, + "step": 134 + }, + { + "epoch": 0.31, + "learning_rate": 1.7403846153846157e-05, + "loss": 0.7665, + "step": 135 + }, + { + "epoch": 0.32, + "learning_rate": 1.7379807692307694e-05, + "loss": 0.8599, + "step": 136 + }, + { + "epoch": 0.32, + "learning_rate": 1.7355769230769233e-05, + "loss": 0.7581, + "step": 137 + }, + { + "epoch": 0.32, + "learning_rate": 1.733173076923077e-05, + "loss": 0.7565, + "step": 138 + }, + { + "epoch": 0.32, + "learning_rate": 1.730769230769231e-05, + "loss": 0.716, + "step": 139 + }, + { + "epoch": 0.33, + "learning_rate": 1.7283653846153846e-05, + "loss": 0.8019, + "step": 140 + }, + { + "epoch": 0.33, + "learning_rate": 1.7259615384615385e-05, + "loss": 0.8141, + "step": 141 + }, + { + "epoch": 0.33, + "learning_rate": 1.7235576923076925e-05, + "loss": 0.7944, + "step": 142 + }, + { + "epoch": 0.33, + "learning_rate": 1.7211538461538465e-05, + "loss": 0.7697, + "step": 143 + }, + { + "epoch": 0.34, + "learning_rate": 1.71875e-05, + "loss": 0.8329, + "step": 144 + }, + { + "epoch": 0.34, + "learning_rate": 1.7163461538461537e-05, + "loss": 0.7871, + "step": 145 + }, + { + "epoch": 0.34, + "learning_rate": 1.7139423076923077e-05, + "loss": 0.8166, + "step": 146 + }, + { + "epoch": 0.34, + "learning_rate": 1.7115384615384617e-05, + "loss": 0.8188, + "step": 147 + }, + { + "epoch": 0.34, + "learning_rate": 1.7091346153846156e-05, + "loss": 0.7407, + "step": 148 + }, + { + "epoch": 0.35, + "learning_rate": 1.7067307692307693e-05, + "loss": 0.756, + "step": 149 + }, + { + "epoch": 0.35, + "learning_rate": 1.7043269230769232e-05, + "loss": 0.912, + "step": 150 + }, + { + "epoch": 0.35, + "learning_rate": 1.701923076923077e-05, + "loss": 0.7864, + "step": 151 + }, + { + "epoch": 0.35, + "learning_rate": 1.699519230769231e-05, + "loss": 0.7324, + "step": 152 + }, + { + "epoch": 0.36, + "learning_rate": 1.6971153846153848e-05, + "loss": 0.7955, + "step": 153 + }, + { + "epoch": 0.36, + "learning_rate": 1.6947115384615388e-05, + "loss": 0.7767, + "step": 154 + }, + { + "epoch": 0.36, + "learning_rate": 1.6923076923076924e-05, + "loss": 0.8461, + "step": 155 + }, + { + "epoch": 0.36, + "learning_rate": 1.6899038461538464e-05, + "loss": 0.7661, + "step": 156 + }, + { + "epoch": 0.37, + "learning_rate": 1.6875e-05, + "loss": 0.8027, + "step": 157 + }, + { + "epoch": 0.37, + "learning_rate": 1.685096153846154e-05, + "loss": 0.7535, + "step": 158 + }, + { + "epoch": 0.37, + "learning_rate": 1.682692307692308e-05, + "loss": 0.7497, + "step": 159 + }, + { + "epoch": 0.37, + "learning_rate": 1.6802884615384616e-05, + "loss": 0.8104, + "step": 160 + }, + { + "epoch": 0.37, + "learning_rate": 1.6778846153846156e-05, + "loss": 0.7874, + "step": 161 + }, + { + "epoch": 0.38, + "learning_rate": 1.6754807692307692e-05, + "loss": 0.8582, + "step": 162 + }, + { + "epoch": 0.38, + "learning_rate": 1.673076923076923e-05, + "loss": 0.8311, + "step": 163 + }, + { + "epoch": 0.38, + "learning_rate": 1.670673076923077e-05, + "loss": 0.8759, + "step": 164 + }, + { + "epoch": 0.38, + "learning_rate": 1.668269230769231e-05, + "loss": 0.7448, + "step": 165 + }, + { + "epoch": 0.39, + "learning_rate": 1.6658653846153847e-05, + "loss": 0.8101, + "step": 166 + }, + { + "epoch": 0.39, + "learning_rate": 1.6634615384615387e-05, + "loss": 0.7539, + "step": 167 + }, + { + "epoch": 0.39, + "learning_rate": 1.6610576923076923e-05, + "loss": 0.8119, + "step": 168 + }, + { + "epoch": 0.39, + "learning_rate": 1.6586538461538463e-05, + "loss": 0.8524, + "step": 169 + }, + { + "epoch": 0.4, + "learning_rate": 1.6562500000000003e-05, + "loss": 0.774, + "step": 170 + }, + { + "epoch": 0.4, + "learning_rate": 1.653846153846154e-05, + "loss": 0.7763, + "step": 171 + }, + { + "epoch": 0.4, + "learning_rate": 1.651442307692308e-05, + "loss": 0.7284, + "step": 172 + }, + { + "epoch": 0.4, + "learning_rate": 1.6490384615384615e-05, + "loss": 0.7537, + "step": 173 + }, + { + "epoch": 0.41, + "learning_rate": 1.6466346153846155e-05, + "loss": 0.7166, + "step": 174 + }, + { + "epoch": 0.41, + "learning_rate": 1.6442307692307695e-05, + "loss": 0.8141, + "step": 175 + }, + { + "epoch": 0.41, + "learning_rate": 1.6418269230769234e-05, + "loss": 0.7984, + "step": 176 + }, + { + "epoch": 0.41, + "learning_rate": 1.639423076923077e-05, + "loss": 0.7642, + "step": 177 + }, + { + "epoch": 0.41, + "learning_rate": 1.637019230769231e-05, + "loss": 0.8379, + "step": 178 + }, + { + "epoch": 0.42, + "learning_rate": 1.6346153846153847e-05, + "loss": 0.8104, + "step": 179 + }, + { + "epoch": 0.42, + "learning_rate": 1.6322115384615386e-05, + "loss": 0.7393, + "step": 180 + }, + { + "epoch": 0.42, + "learning_rate": 1.6298076923076923e-05, + "loss": 0.775, + "step": 181 + }, + { + "epoch": 0.42, + "learning_rate": 1.6274038461538462e-05, + "loss": 0.8081, + "step": 182 + }, + { + "epoch": 0.43, + "learning_rate": 1.6250000000000002e-05, + "loss": 0.7168, + "step": 183 + }, + { + "epoch": 0.43, + "learning_rate": 1.6225961538461538e-05, + "loss": 0.7956, + "step": 184 + }, + { + "epoch": 0.43, + "learning_rate": 1.6201923076923078e-05, + "loss": 0.7755, + "step": 185 + }, + { + "epoch": 0.43, + "learning_rate": 1.6177884615384614e-05, + "loss": 0.7293, + "step": 186 + }, + { + "epoch": 0.44, + "learning_rate": 1.6153846153846154e-05, + "loss": 0.7713, + "step": 187 + }, + { + "epoch": 0.44, + "learning_rate": 1.6129807692307694e-05, + "loss": 0.7599, + "step": 188 + }, + { + "epoch": 0.44, + "learning_rate": 1.6105769230769233e-05, + "loss": 0.7648, + "step": 189 + }, + { + "epoch": 0.44, + "learning_rate": 1.608173076923077e-05, + "loss": 0.7296, + "step": 190 + }, + { + "epoch": 0.44, + "learning_rate": 1.605769230769231e-05, + "loss": 0.7411, + "step": 191 + }, + { + "epoch": 0.45, + "learning_rate": 1.6033653846153846e-05, + "loss": 0.7602, + "step": 192 + }, + { + "epoch": 0.45, + "learning_rate": 1.6009615384615385e-05, + "loss": 0.7661, + "step": 193 + }, + { + "epoch": 0.45, + "learning_rate": 1.5985576923076925e-05, + "loss": 0.7468, + "step": 194 + }, + { + "epoch": 0.45, + "learning_rate": 1.5961538461538465e-05, + "loss": 0.7961, + "step": 195 + }, + { + "epoch": 0.46, + "learning_rate": 1.59375e-05, + "loss": 0.7311, + "step": 196 + }, + { + "epoch": 0.46, + "learning_rate": 1.5913461538461537e-05, + "loss": 0.8229, + "step": 197 + }, + { + "epoch": 0.46, + "learning_rate": 1.5889423076923077e-05, + "loss": 0.7642, + "step": 198 + }, + { + "epoch": 0.46, + "learning_rate": 1.5865384615384617e-05, + "loss": 0.6928, + "step": 199 + }, + { + "epoch": 0.47, + "learning_rate": 1.5841346153846157e-05, + "loss": 0.7556, + "step": 200 + }, + { + "epoch": 0.47, + "learning_rate": 1.5817307692307693e-05, + "loss": 0.814, + "step": 201 + }, + { + "epoch": 0.47, + "learning_rate": 1.5793269230769233e-05, + "loss": 0.8152, + "step": 202 + }, + { + "epoch": 0.47, + "learning_rate": 1.576923076923077e-05, + "loss": 0.675, + "step": 203 + }, + { + "epoch": 0.47, + "learning_rate": 1.574519230769231e-05, + "loss": 0.7087, + "step": 204 + }, + { + "epoch": 0.48, + "learning_rate": 1.5721153846153848e-05, + "loss": 0.8538, + "step": 205 + }, + { + "epoch": 0.48, + "learning_rate": 1.5697115384615388e-05, + "loss": 0.8116, + "step": 206 + }, + { + "epoch": 0.48, + "learning_rate": 1.5673076923076924e-05, + "loss": 0.7346, + "step": 207 + }, + { + "epoch": 0.48, + "learning_rate": 1.5649038461538464e-05, + "loss": 0.7081, + "step": 208 + }, + { + "epoch": 0.49, + "learning_rate": 1.5625e-05, + "loss": 0.835, + "step": 209 + }, + { + "epoch": 0.49, + "learning_rate": 1.560096153846154e-05, + "loss": 0.7269, + "step": 210 + }, + { + "epoch": 0.49, + "learning_rate": 1.557692307692308e-05, + "loss": 0.7451, + "step": 211 + }, + { + "epoch": 0.49, + "learning_rate": 1.5552884615384616e-05, + "loss": 0.7725, + "step": 212 + }, + { + "epoch": 0.5, + "learning_rate": 1.5528846153846156e-05, + "loss": 0.7269, + "step": 213 + }, + { + "epoch": 0.5, + "learning_rate": 1.5504807692307692e-05, + "loss": 0.7733, + "step": 214 + }, + { + "epoch": 0.5, + "learning_rate": 1.5480769230769232e-05, + "loss": 0.7684, + "step": 215 + }, + { + "epoch": 0.5, + "learning_rate": 1.545673076923077e-05, + "loss": 0.7509, + "step": 216 + }, + { + "epoch": 0.51, + "learning_rate": 1.543269230769231e-05, + "loss": 0.7126, + "step": 217 + }, + { + "epoch": 0.51, + "learning_rate": 1.5408653846153847e-05, + "loss": 0.7416, + "step": 218 + }, + { + "epoch": 0.51, + "learning_rate": 1.5384615384615387e-05, + "loss": 0.7922, + "step": 219 + }, + { + "epoch": 0.51, + "learning_rate": 1.5360576923076923e-05, + "loss": 0.7533, + "step": 220 + }, + { + "epoch": 0.51, + "learning_rate": 1.5336538461538463e-05, + "loss": 0.7549, + "step": 221 + }, + { + "epoch": 0.52, + "learning_rate": 1.5312500000000003e-05, + "loss": 0.7321, + "step": 222 + }, + { + "epoch": 0.52, + "learning_rate": 1.528846153846154e-05, + "loss": 0.7941, + "step": 223 + }, + { + "epoch": 0.52, + "learning_rate": 1.526442307692308e-05, + "loss": 0.7364, + "step": 224 + }, + { + "epoch": 0.52, + "learning_rate": 1.5240384615384615e-05, + "loss": 0.7847, + "step": 225 + }, + { + "epoch": 0.53, + "learning_rate": 1.5216346153846155e-05, + "loss": 0.7893, + "step": 226 + }, + { + "epoch": 0.53, + "learning_rate": 1.5192307692307693e-05, + "loss": 0.7664, + "step": 227 + }, + { + "epoch": 0.53, + "learning_rate": 1.5168269230769233e-05, + "loss": 0.7136, + "step": 228 + }, + { + "epoch": 0.53, + "learning_rate": 1.514423076923077e-05, + "loss": 0.7442, + "step": 229 + }, + { + "epoch": 0.54, + "learning_rate": 1.512019230769231e-05, + "loss": 0.7737, + "step": 230 + }, + { + "epoch": 0.54, + "learning_rate": 1.5096153846153847e-05, + "loss": 0.7583, + "step": 231 + }, + { + "epoch": 0.54, + "learning_rate": 1.5072115384615386e-05, + "loss": 0.7817, + "step": 232 + }, + { + "epoch": 0.54, + "learning_rate": 1.5048076923076924e-05, + "loss": 0.7708, + "step": 233 + }, + { + "epoch": 0.54, + "learning_rate": 1.5024038461538464e-05, + "loss": 0.7865, + "step": 234 + }, + { + "epoch": 0.55, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.7547, + "step": 235 + }, + { + "epoch": 0.55, + "learning_rate": 1.4975961538461538e-05, + "loss": 0.8063, + "step": 236 + }, + { + "epoch": 0.55, + "learning_rate": 1.4951923076923078e-05, + "loss": 0.8344, + "step": 237 + }, + { + "epoch": 0.55, + "learning_rate": 1.4927884615384616e-05, + "loss": 0.7404, + "step": 238 + }, + { + "epoch": 0.56, + "learning_rate": 1.4903846153846156e-05, + "loss": 0.7797, + "step": 239 + }, + { + "epoch": 0.56, + "learning_rate": 1.4879807692307692e-05, + "loss": 0.7372, + "step": 240 + }, + { + "epoch": 0.56, + "learning_rate": 1.4855769230769232e-05, + "loss": 0.764, + "step": 241 + }, + { + "epoch": 0.56, + "learning_rate": 1.483173076923077e-05, + "loss": 0.8245, + "step": 242 + }, + { + "epoch": 0.57, + "learning_rate": 1.480769230769231e-05, + "loss": 0.8036, + "step": 243 + }, + { + "epoch": 0.57, + "learning_rate": 1.4783653846153848e-05, + "loss": 0.7704, + "step": 244 + }, + { + "epoch": 0.57, + "learning_rate": 1.4759615384615387e-05, + "loss": 0.7686, + "step": 245 + }, + { + "epoch": 0.57, + "learning_rate": 1.4735576923076924e-05, + "loss": 0.7013, + "step": 246 + }, + { + "epoch": 0.58, + "learning_rate": 1.4711538461538463e-05, + "loss": 0.712, + "step": 247 + }, + { + "epoch": 0.58, + "learning_rate": 1.4687500000000001e-05, + "loss": 0.7107, + "step": 248 + }, + { + "epoch": 0.58, + "learning_rate": 1.466346153846154e-05, + "loss": 0.8375, + "step": 249 + }, + { + "epoch": 0.58, + "learning_rate": 1.4639423076923079e-05, + "loss": 0.7629, + "step": 250 + }, + { + "epoch": 0.58, + "learning_rate": 1.4615384615384615e-05, + "loss": 0.7042, + "step": 251 + }, + { + "epoch": 0.59, + "learning_rate": 1.4591346153846155e-05, + "loss": 0.7676, + "step": 252 + }, + { + "epoch": 0.59, + "learning_rate": 1.4567307692307693e-05, + "loss": 0.7578, + "step": 253 + }, + { + "epoch": 0.59, + "learning_rate": 1.4543269230769233e-05, + "loss": 0.7231, + "step": 254 + }, + { + "epoch": 0.59, + "learning_rate": 1.451923076923077e-05, + "loss": 0.7189, + "step": 255 + }, + { + "epoch": 0.6, + "learning_rate": 1.449519230769231e-05, + "loss": 0.712, + "step": 256 + }, + { + "epoch": 0.6, + "learning_rate": 1.4471153846153847e-05, + "loss": 0.7324, + "step": 257 + }, + { + "epoch": 0.6, + "learning_rate": 1.4447115384615386e-05, + "loss": 0.7761, + "step": 258 + }, + { + "epoch": 0.6, + "learning_rate": 1.4423076923076924e-05, + "loss": 0.7842, + "step": 259 + }, + { + "epoch": 0.61, + "learning_rate": 1.4399038461538464e-05, + "loss": 0.7634, + "step": 260 + }, + { + "epoch": 0.61, + "learning_rate": 1.4375e-05, + "loss": 0.7812, + "step": 261 + }, + { + "epoch": 0.61, + "learning_rate": 1.4350961538461538e-05, + "loss": 0.8088, + "step": 262 + }, + { + "epoch": 0.61, + "learning_rate": 1.4326923076923078e-05, + "loss": 0.7412, + "step": 263 + }, + { + "epoch": 0.61, + "learning_rate": 1.4302884615384616e-05, + "loss": 0.7756, + "step": 264 + }, + { + "epoch": 0.62, + "learning_rate": 1.4278846153846156e-05, + "loss": 0.7228, + "step": 265 + }, + { + "epoch": 0.62, + "learning_rate": 1.4254807692307692e-05, + "loss": 0.7834, + "step": 266 + }, + { + "epoch": 0.62, + "learning_rate": 1.4230769230769232e-05, + "loss": 0.7778, + "step": 267 + }, + { + "epoch": 0.62, + "learning_rate": 1.420673076923077e-05, + "loss": 0.7891, + "step": 268 + }, + { + "epoch": 0.63, + "learning_rate": 1.418269230769231e-05, + "loss": 0.7817, + "step": 269 + }, + { + "epoch": 0.63, + "learning_rate": 1.4158653846153848e-05, + "loss": 0.7471, + "step": 270 + }, + { + "epoch": 0.63, + "learning_rate": 1.4134615384615387e-05, + "loss": 0.7259, + "step": 271 + }, + { + "epoch": 0.63, + "learning_rate": 1.4110576923076924e-05, + "loss": 0.7364, + "step": 272 + }, + { + "epoch": 0.64, + "learning_rate": 1.4086538461538463e-05, + "loss": 0.7308, + "step": 273 + }, + { + "epoch": 0.64, + "learning_rate": 1.4062500000000001e-05, + "loss": 0.7144, + "step": 274 + }, + { + "epoch": 0.64, + "learning_rate": 1.403846153846154e-05, + "loss": 0.7699, + "step": 275 + }, + { + "epoch": 0.64, + "learning_rate": 1.4014423076923079e-05, + "loss": 0.7474, + "step": 276 + }, + { + "epoch": 0.64, + "learning_rate": 1.3990384615384615e-05, + "loss": 0.7784, + "step": 277 + }, + { + "epoch": 0.65, + "learning_rate": 1.3966346153846155e-05, + "loss": 0.767, + "step": 278 + }, + { + "epoch": 0.65, + "learning_rate": 1.3942307692307693e-05, + "loss": 0.7675, + "step": 279 + }, + { + "epoch": 0.65, + "learning_rate": 1.3918269230769233e-05, + "loss": 0.797, + "step": 280 + }, + { + "epoch": 0.65, + "learning_rate": 1.3894230769230769e-05, + "loss": 0.7344, + "step": 281 + }, + { + "epoch": 0.66, + "learning_rate": 1.3870192307692309e-05, + "loss": 0.7731, + "step": 282 + }, + { + "epoch": 0.66, + "learning_rate": 1.3846153846153847e-05, + "loss": 0.8022, + "step": 283 + }, + { + "epoch": 0.66, + "learning_rate": 1.3822115384615386e-05, + "loss": 0.7794, + "step": 284 + }, + { + "epoch": 0.66, + "learning_rate": 1.3798076923076924e-05, + "loss": 0.7722, + "step": 285 + }, + { + "epoch": 0.67, + "learning_rate": 1.3774038461538464e-05, + "loss": 0.6938, + "step": 286 + }, + { + "epoch": 0.67, + "learning_rate": 1.375e-05, + "loss": 0.7141, + "step": 287 + }, + { + "epoch": 0.67, + "learning_rate": 1.3725961538461538e-05, + "loss": 0.7139, + "step": 288 + }, + { + "epoch": 0.67, + "learning_rate": 1.3701923076923078e-05, + "loss": 0.8106, + "step": 289 + }, + { + "epoch": 0.68, + "learning_rate": 1.3677884615384616e-05, + "loss": 0.6667, + "step": 290 + }, + { + "epoch": 0.68, + "learning_rate": 1.3653846153846156e-05, + "loss": 0.7822, + "step": 291 + }, + { + "epoch": 0.68, + "learning_rate": 1.3629807692307692e-05, + "loss": 0.7589, + "step": 292 + }, + { + "epoch": 0.68, + "learning_rate": 1.3605769230769232e-05, + "loss": 0.7201, + "step": 293 + }, + { + "epoch": 0.68, + "learning_rate": 1.358173076923077e-05, + "loss": 0.7368, + "step": 294 + }, + { + "epoch": 0.69, + "learning_rate": 1.355769230769231e-05, + "loss": 0.7426, + "step": 295 + }, + { + "epoch": 0.69, + "learning_rate": 1.3533653846153848e-05, + "loss": 0.7307, + "step": 296 + }, + { + "epoch": 0.69, + "learning_rate": 1.3509615384615387e-05, + "loss": 0.7377, + "step": 297 + }, + { + "epoch": 0.69, + "learning_rate": 1.3485576923076924e-05, + "loss": 0.7529, + "step": 298 + }, + { + "epoch": 0.7, + "learning_rate": 1.3461538461538463e-05, + "loss": 0.7624, + "step": 299 + }, + { + "epoch": 0.7, + "learning_rate": 1.3437500000000001e-05, + "loss": 0.7876, + "step": 300 + }, + { + "epoch": 0.7, + "learning_rate": 1.341346153846154e-05, + "loss": 0.7677, + "step": 301 + }, + { + "epoch": 0.7, + "learning_rate": 1.3389423076923077e-05, + "loss": 0.7167, + "step": 302 + }, + { + "epoch": 0.71, + "learning_rate": 1.3365384615384615e-05, + "loss": 0.8006, + "step": 303 + }, + { + "epoch": 0.71, + "learning_rate": 1.3341346153846155e-05, + "loss": 0.7516, + "step": 304 + }, + { + "epoch": 0.71, + "learning_rate": 1.3317307692307693e-05, + "loss": 0.7548, + "step": 305 + }, + { + "epoch": 0.71, + "learning_rate": 1.3293269230769233e-05, + "loss": 0.7375, + "step": 306 + }, + { + "epoch": 0.71, + "learning_rate": 1.3269230769230769e-05, + "loss": 0.7345, + "step": 307 + }, + { + "epoch": 0.72, + "learning_rate": 1.3245192307692309e-05, + "loss": 0.7543, + "step": 308 + }, + { + "epoch": 0.72, + "learning_rate": 1.3221153846153847e-05, + "loss": 0.7948, + "step": 309 + }, + { + "epoch": 0.72, + "learning_rate": 1.3197115384615387e-05, + "loss": 0.7262, + "step": 310 + }, + { + "epoch": 0.72, + "learning_rate": 1.3173076923076925e-05, + "loss": 0.7293, + "step": 311 + }, + { + "epoch": 0.73, + "learning_rate": 1.3149038461538464e-05, + "loss": 0.7145, + "step": 312 + }, + { + "epoch": 0.73, + "learning_rate": 1.3125e-05, + "loss": 0.7774, + "step": 313 + }, + { + "epoch": 0.73, + "learning_rate": 1.3100961538461539e-05, + "loss": 0.6981, + "step": 314 + }, + { + "epoch": 0.73, + "learning_rate": 1.3076923076923078e-05, + "loss": 0.7584, + "step": 315 + }, + { + "epoch": 0.74, + "learning_rate": 1.3052884615384616e-05, + "loss": 0.7331, + "step": 316 + }, + { + "epoch": 0.74, + "learning_rate": 1.3028846153846156e-05, + "loss": 0.7757, + "step": 317 + }, + { + "epoch": 0.74, + "learning_rate": 1.3004807692307692e-05, + "loss": 0.7141, + "step": 318 + }, + { + "epoch": 0.74, + "learning_rate": 1.2980769230769232e-05, + "loss": 0.7132, + "step": 319 + }, + { + "epoch": 0.75, + "learning_rate": 1.295673076923077e-05, + "loss": 0.7448, + "step": 320 + }, + { + "epoch": 0.75, + "learning_rate": 1.293269230769231e-05, + "loss": 0.7303, + "step": 321 + }, + { + "epoch": 0.75, + "learning_rate": 1.2908653846153848e-05, + "loss": 0.7199, + "step": 322 + }, + { + "epoch": 0.75, + "learning_rate": 1.2884615384615386e-05, + "loss": 0.7516, + "step": 323 + }, + { + "epoch": 0.75, + "learning_rate": 1.2860576923076924e-05, + "loss": 0.751, + "step": 324 + }, + { + "epoch": 0.76, + "learning_rate": 1.2836538461538463e-05, + "loss": 0.7613, + "step": 325 + }, + { + "epoch": 0.76, + "learning_rate": 1.2812500000000001e-05, + "loss": 0.7393, + "step": 326 + }, + { + "epoch": 0.76, + "learning_rate": 1.2788461538461538e-05, + "loss": 0.7141, + "step": 327 + }, + { + "epoch": 0.76, + "learning_rate": 1.2764423076923077e-05, + "loss": 0.7178, + "step": 328 + }, + { + "epoch": 0.77, + "learning_rate": 1.2740384615384615e-05, + "loss": 0.7639, + "step": 329 + }, + { + "epoch": 0.77, + "learning_rate": 1.2716346153846155e-05, + "loss": 0.7608, + "step": 330 + }, + { + "epoch": 0.77, + "learning_rate": 1.2692307692307693e-05, + "loss": 0.7455, + "step": 331 + }, + { + "epoch": 0.77, + "learning_rate": 1.2668269230769233e-05, + "loss": 0.8251, + "step": 332 + }, + { + "epoch": 0.78, + "learning_rate": 1.264423076923077e-05, + "loss": 0.7024, + "step": 333 + }, + { + "epoch": 0.78, + "learning_rate": 1.2620192307692309e-05, + "loss": 0.705, + "step": 334 + }, + { + "epoch": 0.78, + "learning_rate": 1.2596153846153847e-05, + "loss": 0.78, + "step": 335 + }, + { + "epoch": 0.78, + "learning_rate": 1.2572115384615387e-05, + "loss": 0.7081, + "step": 336 + }, + { + "epoch": 0.78, + "learning_rate": 1.2548076923076925e-05, + "loss": 0.7023, + "step": 337 + }, + { + "epoch": 0.79, + "learning_rate": 1.2524038461538464e-05, + "loss": 0.6843, + "step": 338 + }, + { + "epoch": 0.79, + "learning_rate": 1.25e-05, + "loss": 0.7252, + "step": 339 + }, + { + "epoch": 0.79, + "learning_rate": 1.2475961538461539e-05, + "loss": 0.7692, + "step": 340 + }, + { + "epoch": 0.79, + "learning_rate": 1.2451923076923078e-05, + "loss": 0.7538, + "step": 341 + }, + { + "epoch": 0.8, + "learning_rate": 1.2427884615384616e-05, + "loss": 0.729, + "step": 342 + }, + { + "epoch": 0.8, + "learning_rate": 1.2403846153846156e-05, + "loss": 0.7547, + "step": 343 + }, + { + "epoch": 0.8, + "learning_rate": 1.2379807692307692e-05, + "loss": 0.7373, + "step": 344 + }, + { + "epoch": 0.8, + "learning_rate": 1.2355769230769232e-05, + "loss": 0.7406, + "step": 345 + }, + { + "epoch": 0.81, + "learning_rate": 1.233173076923077e-05, + "loss": 0.7349, + "step": 346 + }, + { + "epoch": 0.81, + "learning_rate": 1.230769230769231e-05, + "loss": 0.7707, + "step": 347 + }, + { + "epoch": 0.81, + "learning_rate": 1.2283653846153846e-05, + "loss": 0.739, + "step": 348 + }, + { + "epoch": 0.81, + "learning_rate": 1.2259615384615386e-05, + "loss": 0.6808, + "step": 349 + }, + { + "epoch": 0.81, + "learning_rate": 1.2235576923076924e-05, + "loss": 0.7431, + "step": 350 + }, + { + "epoch": 0.82, + "learning_rate": 1.2211538461538463e-05, + "loss": 0.7073, + "step": 351 + }, + { + "epoch": 0.82, + "learning_rate": 1.2187500000000001e-05, + "loss": 0.7251, + "step": 352 + }, + { + "epoch": 0.82, + "learning_rate": 1.2163461538461538e-05, + "loss": 0.7321, + "step": 353 + }, + { + "epoch": 0.82, + "learning_rate": 1.2139423076923077e-05, + "loss": 0.7918, + "step": 354 + }, + { + "epoch": 0.83, + "learning_rate": 1.2115384615384615e-05, + "loss": 0.7374, + "step": 355 + }, + { + "epoch": 0.83, + "learning_rate": 1.2091346153846155e-05, + "loss": 0.7307, + "step": 356 + }, + { + "epoch": 0.83, + "learning_rate": 1.2067307692307693e-05, + "loss": 0.7617, + "step": 357 + }, + { + "epoch": 0.83, + "learning_rate": 1.2043269230769233e-05, + "loss": 0.7808, + "step": 358 + }, + { + "epoch": 0.84, + "learning_rate": 1.201923076923077e-05, + "loss": 0.6914, + "step": 359 + }, + { + "epoch": 0.84, + "learning_rate": 1.1995192307692309e-05, + "loss": 0.7304, + "step": 360 + }, + { + "epoch": 0.84, + "learning_rate": 1.1971153846153847e-05, + "loss": 0.7732, + "step": 361 + }, + { + "epoch": 0.84, + "learning_rate": 1.1947115384615387e-05, + "loss": 0.8037, + "step": 362 + }, + { + "epoch": 0.85, + "learning_rate": 1.1923076923076925e-05, + "loss": 0.7156, + "step": 363 + }, + { + "epoch": 0.85, + "learning_rate": 1.1899038461538464e-05, + "loss": 0.7605, + "step": 364 + }, + { + "epoch": 0.85, + "learning_rate": 1.1875e-05, + "loss": 0.7682, + "step": 365 + }, + { + "epoch": 0.85, + "learning_rate": 1.1850961538461539e-05, + "loss": 0.7285, + "step": 366 + }, + { + "epoch": 0.85, + "learning_rate": 1.1826923076923078e-05, + "loss": 0.7305, + "step": 367 + }, + { + "epoch": 0.86, + "learning_rate": 1.1802884615384615e-05, + "loss": 0.7585, + "step": 368 + }, + { + "epoch": 0.86, + "learning_rate": 1.1778846153846154e-05, + "loss": 0.7003, + "step": 369 + }, + { + "epoch": 0.86, + "learning_rate": 1.1754807692307692e-05, + "loss": 0.8018, + "step": 370 + }, + { + "epoch": 0.86, + "learning_rate": 1.1730769230769232e-05, + "loss": 0.7473, + "step": 371 + }, + { + "epoch": 0.87, + "learning_rate": 1.170673076923077e-05, + "loss": 0.6937, + "step": 372 + }, + { + "epoch": 0.87, + "learning_rate": 1.168269230769231e-05, + "loss": 0.7858, + "step": 373 + }, + { + "epoch": 0.87, + "learning_rate": 1.1658653846153846e-05, + "loss": 0.7507, + "step": 374 + }, + { + "epoch": 0.87, + "learning_rate": 1.1634615384615386e-05, + "loss": 0.7397, + "step": 375 + }, + { + "epoch": 0.88, + "learning_rate": 1.1610576923076924e-05, + "loss": 0.7126, + "step": 376 + }, + { + "epoch": 0.88, + "learning_rate": 1.1586538461538464e-05, + "loss": 0.7559, + "step": 377 + }, + { + "epoch": 0.88, + "learning_rate": 1.1562500000000002e-05, + "loss": 0.7407, + "step": 378 + }, + { + "epoch": 0.88, + "learning_rate": 1.1538461538461538e-05, + "loss": 0.723, + "step": 379 + }, + { + "epoch": 0.88, + "learning_rate": 1.1514423076923078e-05, + "loss": 0.7441, + "step": 380 + }, + { + "epoch": 0.89, + "learning_rate": 1.1490384615384616e-05, + "loss": 0.7533, + "step": 381 + }, + { + "epoch": 0.89, + "learning_rate": 1.1466346153846155e-05, + "loss": 0.7113, + "step": 382 + }, + { + "epoch": 0.89, + "learning_rate": 1.1442307692307693e-05, + "loss": 0.7529, + "step": 383 + }, + { + "epoch": 0.89, + "learning_rate": 1.1418269230769233e-05, + "loss": 0.7574, + "step": 384 + }, + { + "epoch": 0.9, + "learning_rate": 1.139423076923077e-05, + "loss": 0.7354, + "step": 385 + }, + { + "epoch": 0.9, + "learning_rate": 1.1370192307692309e-05, + "loss": 0.7783, + "step": 386 + }, + { + "epoch": 0.9, + "learning_rate": 1.1346153846153847e-05, + "loss": 0.751, + "step": 387 + }, + { + "epoch": 0.9, + "learning_rate": 1.1322115384615387e-05, + "loss": 0.7101, + "step": 388 + }, + { + "epoch": 0.91, + "learning_rate": 1.1298076923076923e-05, + "loss": 0.7462, + "step": 389 + }, + { + "epoch": 0.91, + "learning_rate": 1.1274038461538463e-05, + "loss": 0.7701, + "step": 390 + }, + { + "epoch": 0.91, + "learning_rate": 1.125e-05, + "loss": 0.6807, + "step": 391 + }, + { + "epoch": 0.91, + "learning_rate": 1.1225961538461539e-05, + "loss": 0.7603, + "step": 392 + }, + { + "epoch": 0.92, + "learning_rate": 1.1201923076923078e-05, + "loss": 0.8018, + "step": 393 + }, + { + "epoch": 0.92, + "learning_rate": 1.1177884615384615e-05, + "loss": 0.74, + "step": 394 + }, + { + "epoch": 0.92, + "learning_rate": 1.1153846153846154e-05, + "loss": 0.7039, + "step": 395 + }, + { + "epoch": 0.92, + "learning_rate": 1.1129807692307692e-05, + "loss": 0.7858, + "step": 396 + }, + { + "epoch": 0.92, + "learning_rate": 1.1105769230769232e-05, + "loss": 0.7536, + "step": 397 + }, + { + "epoch": 0.93, + "learning_rate": 1.108173076923077e-05, + "loss": 0.7586, + "step": 398 + }, + { + "epoch": 0.93, + "learning_rate": 1.105769230769231e-05, + "loss": 0.7555, + "step": 399 + }, + { + "epoch": 0.93, + "learning_rate": 1.1033653846153846e-05, + "loss": 0.7849, + "step": 400 + }, + { + "epoch": 0.93, + "learning_rate": 1.1009615384615386e-05, + "loss": 0.7513, + "step": 401 + }, + { + "epoch": 0.94, + "learning_rate": 1.0985576923076924e-05, + "loss": 0.65, + "step": 402 + }, + { + "epoch": 0.94, + "learning_rate": 1.0961538461538464e-05, + "loss": 0.7416, + "step": 403 + }, + { + "epoch": 0.94, + "learning_rate": 1.0937500000000002e-05, + "loss": 0.756, + "step": 404 + }, + { + "epoch": 0.94, + "learning_rate": 1.0913461538461538e-05, + "loss": 0.7542, + "step": 405 + }, + { + "epoch": 0.95, + "learning_rate": 1.0889423076923078e-05, + "loss": 0.7342, + "step": 406 + }, + { + "epoch": 0.95, + "learning_rate": 1.0865384615384616e-05, + "loss": 0.7155, + "step": 407 + }, + { + "epoch": 0.95, + "learning_rate": 1.0841346153846155e-05, + "loss": 0.7369, + "step": 408 + }, + { + "epoch": 0.95, + "learning_rate": 1.0817307692307693e-05, + "loss": 0.7184, + "step": 409 + }, + { + "epoch": 0.95, + "learning_rate": 1.0793269230769231e-05, + "loss": 0.7084, + "step": 410 + }, + { + "epoch": 0.96, + "learning_rate": 1.076923076923077e-05, + "loss": 0.7391, + "step": 411 + }, + { + "epoch": 0.96, + "learning_rate": 1.0745192307692309e-05, + "loss": 0.7178, + "step": 412 + }, + { + "epoch": 0.96, + "learning_rate": 1.0721153846153847e-05, + "loss": 0.7261, + "step": 413 + }, + { + "epoch": 0.96, + "learning_rate": 1.0697115384615387e-05, + "loss": 0.7537, + "step": 414 + }, + { + "epoch": 0.97, + "learning_rate": 1.0673076923076923e-05, + "loss": 0.7419, + "step": 415 + }, + { + "epoch": 0.97, + "learning_rate": 1.0649038461538463e-05, + "loss": 0.7358, + "step": 416 + }, + { + "epoch": 0.97, + "learning_rate": 1.0625e-05, + "loss": 0.739, + "step": 417 + }, + { + "epoch": 0.97, + "learning_rate": 1.0600961538461539e-05, + "loss": 0.7373, + "step": 418 + }, + { + "epoch": 0.98, + "learning_rate": 1.0576923076923078e-05, + "loss": 0.7703, + "step": 419 + }, + { + "epoch": 0.98, + "learning_rate": 1.0552884615384615e-05, + "loss": 0.7557, + "step": 420 + }, + { + "epoch": 0.98, + "learning_rate": 1.0528846153846154e-05, + "loss": 0.7366, + "step": 421 + }, + { + "epoch": 0.98, + "learning_rate": 1.0504807692307692e-05, + "loss": 0.6743, + "step": 422 + }, + { + "epoch": 0.98, + "learning_rate": 1.0480769230769232e-05, + "loss": 0.7874, + "step": 423 + }, + { + "epoch": 0.99, + "learning_rate": 1.045673076923077e-05, + "loss": 0.7811, + "step": 424 + }, + { + "epoch": 0.99, + "learning_rate": 1.043269230769231e-05, + "loss": 0.7395, + "step": 425 + }, + { + "epoch": 0.99, + "learning_rate": 1.0408653846153846e-05, + "loss": 0.7401, + "step": 426 + }, + { + "epoch": 0.99, + "learning_rate": 1.0384615384615386e-05, + "loss": 0.7722, + "step": 427 + }, + { + "epoch": 1.0, + "learning_rate": 1.0360576923076924e-05, + "loss": 0.7654, + "step": 428 + }, + { + "epoch": 1.0, + "learning_rate": 1.0336538461538464e-05, + "loss": 0.7651, + "step": 429 + }, + { + "epoch": 1.0, + "learning_rate": 1.0312500000000002e-05, + "loss": 0.73, + "step": 430 + }, + { + "epoch": 1.0, + "learning_rate": 1.0288461538461538e-05, + "loss": 0.7567, + "step": 431 + }, + { + "epoch": 1.01, + "learning_rate": 1.0264423076923078e-05, + "loss": 0.7413, + "step": 432 + }, + { + "epoch": 1.01, + "learning_rate": 1.0240384615384616e-05, + "loss": 0.7285, + "step": 433 + }, + { + "epoch": 1.01, + "learning_rate": 1.0216346153846155e-05, + "loss": 0.69, + "step": 434 + }, + { + "epoch": 1.01, + "learning_rate": 1.0192307692307692e-05, + "loss": 0.7651, + "step": 435 + }, + { + "epoch": 1.02, + "learning_rate": 1.0168269230769231e-05, + "loss": 0.7404, + "step": 436 + }, + { + "epoch": 1.02, + "learning_rate": 1.014423076923077e-05, + "loss": 0.7434, + "step": 437 + }, + { + "epoch": 1.02, + "learning_rate": 1.0120192307692309e-05, + "loss": 0.6984, + "step": 438 + }, + { + "epoch": 1.02, + "learning_rate": 1.0096153846153847e-05, + "loss": 0.7156, + "step": 439 + }, + { + "epoch": 1.02, + "learning_rate": 1.0072115384615387e-05, + "loss": 0.7799, + "step": 440 + }, + { + "epoch": 1.03, + "learning_rate": 1.0048076923076923e-05, + "loss": 0.7473, + "step": 441 + }, + { + "epoch": 1.03, + "learning_rate": 1.0024038461538463e-05, + "loss": 0.7358, + "step": 442 + }, + { + "epoch": 1.03, + "learning_rate": 1e-05, + "loss": 0.7247, + "step": 443 + }, + { + "epoch": 1.03, + "learning_rate": 9.975961538461539e-06, + "loss": 0.7319, + "step": 444 + }, + { + "epoch": 1.04, + "learning_rate": 9.951923076923079e-06, + "loss": 0.6721, + "step": 445 + }, + { + "epoch": 1.04, + "learning_rate": 9.927884615384617e-06, + "loss": 0.8221, + "step": 446 + }, + { + "epoch": 1.04, + "learning_rate": 9.903846153846155e-06, + "loss": 0.72, + "step": 447 + }, + { + "epoch": 1.04, + "learning_rate": 9.879807692307694e-06, + "loss": 0.7089, + "step": 448 + }, + { + "epoch": 1.05, + "learning_rate": 9.855769230769232e-06, + "loss": 0.7289, + "step": 449 + }, + { + "epoch": 1.05, + "learning_rate": 9.83173076923077e-06, + "loss": 0.7794, + "step": 450 + }, + { + "epoch": 1.05, + "learning_rate": 9.807692307692308e-06, + "loss": 0.7308, + "step": 451 + }, + { + "epoch": 1.05, + "learning_rate": 9.783653846153846e-06, + "loss": 0.7457, + "step": 452 + }, + { + "epoch": 1.05, + "learning_rate": 9.759615384615386e-06, + "loss": 0.7448, + "step": 453 + }, + { + "epoch": 1.06, + "learning_rate": 9.735576923076924e-06, + "loss": 0.7417, + "step": 454 + }, + { + "epoch": 1.06, + "learning_rate": 9.711538461538462e-06, + "loss": 0.7325, + "step": 455 + }, + { + "epoch": 1.06, + "learning_rate": 9.6875e-06, + "loss": 0.7704, + "step": 456 + }, + { + "epoch": 1.06, + "learning_rate": 9.66346153846154e-06, + "loss": 0.6973, + "step": 457 + }, + { + "epoch": 1.07, + "learning_rate": 9.639423076923078e-06, + "loss": 0.7703, + "step": 458 + }, + { + "epoch": 1.07, + "learning_rate": 9.615384615384616e-06, + "loss": 0.7423, + "step": 459 + }, + { + "epoch": 1.07, + "learning_rate": 9.591346153846155e-06, + "loss": 0.7002, + "step": 460 + }, + { + "epoch": 1.07, + "learning_rate": 9.567307692307693e-06, + "loss": 0.7644, + "step": 461 + }, + { + "epoch": 1.08, + "learning_rate": 9.543269230769231e-06, + "loss": 0.7497, + "step": 462 + }, + { + "epoch": 1.08, + "learning_rate": 9.51923076923077e-06, + "loss": 0.7316, + "step": 463 + }, + { + "epoch": 1.08, + "learning_rate": 9.495192307692307e-06, + "loss": 0.6952, + "step": 464 + }, + { + "epoch": 1.08, + "learning_rate": 9.471153846153847e-06, + "loss": 0.775, + "step": 465 + }, + { + "epoch": 1.08, + "learning_rate": 9.447115384615385e-06, + "loss": 0.7371, + "step": 466 + }, + { + "epoch": 1.09, + "learning_rate": 9.423076923076923e-06, + "loss": 0.7166, + "step": 467 + }, + { + "epoch": 1.09, + "learning_rate": 9.399038461538463e-06, + "loss": 0.7809, + "step": 468 + }, + { + "epoch": 1.09, + "learning_rate": 9.375000000000001e-06, + "loss": 0.7148, + "step": 469 + }, + { + "epoch": 1.09, + "learning_rate": 9.350961538461539e-06, + "loss": 0.7366, + "step": 470 + }, + { + "epoch": 1.1, + "learning_rate": 9.326923076923079e-06, + "loss": 0.7409, + "step": 471 + }, + { + "epoch": 1.1, + "learning_rate": 9.302884615384617e-06, + "loss": 0.7558, + "step": 472 + }, + { + "epoch": 1.1, + "learning_rate": 9.278846153846155e-06, + "loss": 0.7338, + "step": 473 + }, + { + "epoch": 1.1, + "learning_rate": 9.254807692307694e-06, + "loss": 0.7505, + "step": 474 + }, + { + "epoch": 1.11, + "learning_rate": 9.230769230769232e-06, + "loss": 0.7089, + "step": 475 + }, + { + "epoch": 1.11, + "learning_rate": 9.20673076923077e-06, + "loss": 0.7557, + "step": 476 + }, + { + "epoch": 1.11, + "learning_rate": 9.182692307692308e-06, + "loss": 0.8059, + "step": 477 + }, + { + "epoch": 1.11, + "learning_rate": 9.158653846153846e-06, + "loss": 0.7504, + "step": 478 + }, + { + "epoch": 1.12, + "learning_rate": 9.134615384615384e-06, + "loss": 0.7513, + "step": 479 + }, + { + "epoch": 1.12, + "learning_rate": 9.110576923076924e-06, + "loss": 0.7469, + "step": 480 + }, + { + "epoch": 1.12, + "learning_rate": 9.086538461538462e-06, + "loss": 0.7118, + "step": 481 + }, + { + "epoch": 1.12, + "learning_rate": 9.0625e-06, + "loss": 0.7009, + "step": 482 + }, + { + "epoch": 1.12, + "learning_rate": 9.03846153846154e-06, + "loss": 0.7326, + "step": 483 + }, + { + "epoch": 1.13, + "learning_rate": 9.014423076923078e-06, + "loss": 0.6924, + "step": 484 + }, + { + "epoch": 1.13, + "learning_rate": 8.990384615384616e-06, + "loss": 0.7207, + "step": 485 + }, + { + "epoch": 1.13, + "learning_rate": 8.966346153846155e-06, + "loss": 0.7436, + "step": 486 + }, + { + "epoch": 1.13, + "learning_rate": 8.942307692307693e-06, + "loss": 0.6856, + "step": 487 + }, + { + "epoch": 1.14, + "learning_rate": 8.918269230769231e-06, + "loss": 0.7208, + "step": 488 + }, + { + "epoch": 1.14, + "learning_rate": 8.89423076923077e-06, + "loss": 0.7459, + "step": 489 + }, + { + "epoch": 1.14, + "learning_rate": 8.870192307692308e-06, + "loss": 0.7393, + "step": 490 + }, + { + "epoch": 1.14, + "learning_rate": 8.846153846153847e-06, + "loss": 0.8019, + "step": 491 + }, + { + "epoch": 1.15, + "learning_rate": 8.822115384615385e-06, + "loss": 0.7082, + "step": 492 + }, + { + "epoch": 1.15, + "learning_rate": 8.798076923076923e-06, + "loss": 0.7403, + "step": 493 + }, + { + "epoch": 1.15, + "learning_rate": 8.774038461538463e-06, + "loss": 0.7694, + "step": 494 + }, + { + "epoch": 1.15, + "learning_rate": 8.750000000000001e-06, + "loss": 0.7232, + "step": 495 + }, + { + "epoch": 1.15, + "learning_rate": 8.725961538461539e-06, + "loss": 0.7255, + "step": 496 + }, + { + "epoch": 1.16, + "learning_rate": 8.701923076923079e-06, + "loss": 0.7256, + "step": 497 + }, + { + "epoch": 1.16, + "learning_rate": 8.677884615384617e-06, + "loss": 0.7222, + "step": 498 + }, + { + "epoch": 1.16, + "learning_rate": 8.653846153846155e-06, + "loss": 0.7491, + "step": 499 + }, + { + "epoch": 1.16, + "learning_rate": 8.629807692307693e-06, + "loss": 0.7845, + "step": 500 + }, + { + "epoch": 1.17, + "learning_rate": 8.605769230769232e-06, + "loss": 0.7759, + "step": 501 + }, + { + "epoch": 1.17, + "learning_rate": 8.581730769230769e-06, + "loss": 0.7304, + "step": 502 + }, + { + "epoch": 1.17, + "learning_rate": 8.557692307692308e-06, + "loss": 0.6939, + "step": 503 + }, + { + "epoch": 1.17, + "learning_rate": 8.533653846153846e-06, + "loss": 0.7838, + "step": 504 + }, + { + "epoch": 1.18, + "learning_rate": 8.509615384615384e-06, + "loss": 0.6693, + "step": 505 + }, + { + "epoch": 1.18, + "learning_rate": 8.485576923076924e-06, + "loss": 0.727, + "step": 506 + }, + { + "epoch": 1.18, + "learning_rate": 8.461538461538462e-06, + "loss": 0.7153, + "step": 507 + }, + { + "epoch": 1.18, + "learning_rate": 8.4375e-06, + "loss": 0.8066, + "step": 508 + }, + { + "epoch": 1.19, + "learning_rate": 8.41346153846154e-06, + "loss": 0.7349, + "step": 509 + }, + { + "epoch": 1.19, + "learning_rate": 8.389423076923078e-06, + "loss": 0.6531, + "step": 510 + }, + { + "epoch": 1.19, + "learning_rate": 8.365384615384616e-06, + "loss": 0.7391, + "step": 511 + }, + { + "epoch": 1.19, + "learning_rate": 8.341346153846156e-06, + "loss": 0.7599, + "step": 512 + }, + { + "epoch": 1.19, + "learning_rate": 8.317307692307694e-06, + "loss": 0.7264, + "step": 513 + }, + { + "epoch": 1.2, + "learning_rate": 8.293269230769232e-06, + "loss": 0.7751, + "step": 514 + }, + { + "epoch": 1.2, + "learning_rate": 8.26923076923077e-06, + "loss": 0.7816, + "step": 515 + }, + { + "epoch": 1.2, + "learning_rate": 8.245192307692308e-06, + "loss": 0.6606, + "step": 516 + }, + { + "epoch": 1.2, + "learning_rate": 8.221153846153847e-06, + "loss": 0.7694, + "step": 517 + }, + { + "epoch": 1.21, + "learning_rate": 8.197115384615385e-06, + "loss": 0.7568, + "step": 518 + }, + { + "epoch": 1.21, + "learning_rate": 8.173076923076923e-06, + "loss": 0.746, + "step": 519 + }, + { + "epoch": 1.21, + "learning_rate": 8.149038461538461e-06, + "loss": 0.6413, + "step": 520 + }, + { + "epoch": 1.21, + "learning_rate": 8.125000000000001e-06, + "loss": 0.7307, + "step": 521 + }, + { + "epoch": 1.22, + "learning_rate": 8.100961538461539e-06, + "loss": 0.6971, + "step": 522 + }, + { + "epoch": 1.22, + "learning_rate": 8.076923076923077e-06, + "loss": 0.7328, + "step": 523 + }, + { + "epoch": 1.22, + "learning_rate": 8.052884615384617e-06, + "loss": 0.6639, + "step": 524 + }, + { + "epoch": 1.22, + "learning_rate": 8.028846153846155e-06, + "loss": 0.7407, + "step": 525 + }, + { + "epoch": 1.22, + "learning_rate": 8.004807692307693e-06, + "loss": 0.7541, + "step": 526 + }, + { + "epoch": 1.23, + "learning_rate": 7.980769230769232e-06, + "loss": 0.7097, + "step": 527 + }, + { + "epoch": 1.23, + "learning_rate": 7.956730769230769e-06, + "loss": 0.7716, + "step": 528 + }, + { + "epoch": 1.23, + "learning_rate": 7.932692307692308e-06, + "loss": 0.7859, + "step": 529 + }, + { + "epoch": 1.23, + "learning_rate": 7.908653846153846e-06, + "loss": 0.7683, + "step": 530 + }, + { + "epoch": 1.24, + "learning_rate": 7.884615384615384e-06, + "loss": 0.8176, + "step": 531 + }, + { + "epoch": 1.24, + "learning_rate": 7.860576923076924e-06, + "loss": 0.8056, + "step": 532 + }, + { + "epoch": 1.24, + "learning_rate": 7.836538461538462e-06, + "loss": 0.6425, + "step": 533 + }, + { + "epoch": 1.24, + "learning_rate": 7.8125e-06, + "loss": 0.7543, + "step": 534 + }, + { + "epoch": 1.25, + "learning_rate": 7.78846153846154e-06, + "loss": 0.8141, + "step": 535 + }, + { + "epoch": 1.25, + "learning_rate": 7.764423076923078e-06, + "loss": 0.7276, + "step": 536 + }, + { + "epoch": 1.25, + "learning_rate": 7.740384615384616e-06, + "loss": 0.7059, + "step": 537 + }, + { + "epoch": 1.25, + "learning_rate": 7.716346153846156e-06, + "loss": 0.7562, + "step": 538 + }, + { + "epoch": 1.25, + "learning_rate": 7.692307692307694e-06, + "loss": 0.7004, + "step": 539 + }, + { + "epoch": 1.26, + "learning_rate": 7.668269230769232e-06, + "loss": 0.7087, + "step": 540 + }, + { + "epoch": 1.26, + "learning_rate": 7.64423076923077e-06, + "loss": 0.7128, + "step": 541 + }, + { + "epoch": 1.26, + "learning_rate": 7.620192307692308e-06, + "loss": 0.7745, + "step": 542 + }, + { + "epoch": 1.26, + "learning_rate": 7.5961538461538465e-06, + "loss": 0.7134, + "step": 543 + }, + { + "epoch": 1.27, + "learning_rate": 7.572115384615385e-06, + "loss": 0.7305, + "step": 544 + }, + { + "epoch": 1.27, + "learning_rate": 7.548076923076923e-06, + "loss": 0.7197, + "step": 545 + }, + { + "epoch": 1.27, + "learning_rate": 7.524038461538462e-06, + "loss": 0.6959, + "step": 546 + }, + { + "epoch": 1.27, + "learning_rate": 7.500000000000001e-06, + "loss": 0.7369, + "step": 547 + }, + { + "epoch": 1.28, + "learning_rate": 7.475961538461539e-06, + "loss": 0.7657, + "step": 548 + }, + { + "epoch": 1.28, + "learning_rate": 7.451923076923078e-06, + "loss": 0.704, + "step": 549 + }, + { + "epoch": 1.28, + "learning_rate": 7.427884615384616e-06, + "loss": 0.7452, + "step": 550 + }, + { + "epoch": 1.28, + "learning_rate": 7.403846153846155e-06, + "loss": 0.8127, + "step": 551 + }, + { + "epoch": 1.29, + "learning_rate": 7.379807692307694e-06, + "loss": 0.7347, + "step": 552 + }, + { + "epoch": 1.29, + "learning_rate": 7.355769230769232e-06, + "loss": 0.765, + "step": 553 + }, + { + "epoch": 1.29, + "learning_rate": 7.33173076923077e-06, + "loss": 0.7523, + "step": 554 + }, + { + "epoch": 1.29, + "learning_rate": 7.307692307692308e-06, + "loss": 0.7356, + "step": 555 + }, + { + "epoch": 1.29, + "learning_rate": 7.2836538461538465e-06, + "loss": 0.7551, + "step": 556 + }, + { + "epoch": 1.3, + "learning_rate": 7.259615384615385e-06, + "loss": 0.7478, + "step": 557 + }, + { + "epoch": 1.3, + "learning_rate": 7.235576923076923e-06, + "loss": 0.764, + "step": 558 + }, + { + "epoch": 1.3, + "learning_rate": 7.211538461538462e-06, + "loss": 0.7545, + "step": 559 + }, + { + "epoch": 1.3, + "learning_rate": 7.1875e-06, + "loss": 0.7908, + "step": 560 + }, + { + "epoch": 1.31, + "learning_rate": 7.163461538461539e-06, + "loss": 0.6474, + "step": 561 + }, + { + "epoch": 1.31, + "learning_rate": 7.139423076923078e-06, + "loss": 0.7521, + "step": 562 + }, + { + "epoch": 1.31, + "learning_rate": 7.115384615384616e-06, + "loss": 0.6777, + "step": 563 + }, + { + "epoch": 1.31, + "learning_rate": 7.091346153846155e-06, + "loss": 0.7018, + "step": 564 + }, + { + "epoch": 1.32, + "learning_rate": 7.067307692307694e-06, + "loss": 0.6937, + "step": 565 + }, + { + "epoch": 1.32, + "learning_rate": 7.043269230769232e-06, + "loss": 0.7547, + "step": 566 + }, + { + "epoch": 1.32, + "learning_rate": 7.01923076923077e-06, + "loss": 0.6753, + "step": 567 + }, + { + "epoch": 1.32, + "learning_rate": 6.995192307692308e-06, + "loss": 0.7114, + "step": 568 + }, + { + "epoch": 1.32, + "learning_rate": 6.9711538461538465e-06, + "loss": 0.7267, + "step": 569 + }, + { + "epoch": 1.33, + "learning_rate": 6.9471153846153845e-06, + "loss": 0.7327, + "step": 570 + }, + { + "epoch": 1.33, + "learning_rate": 6.923076923076923e-06, + "loss": 0.8159, + "step": 571 + }, + { + "epoch": 1.33, + "learning_rate": 6.899038461538462e-06, + "loss": 0.7367, + "step": 572 + }, + { + "epoch": 1.33, + "learning_rate": 6.875e-06, + "loss": 0.7001, + "step": 573 + }, + { + "epoch": 1.34, + "learning_rate": 6.850961538461539e-06, + "loss": 0.7023, + "step": 574 + }, + { + "epoch": 1.34, + "learning_rate": 6.826923076923078e-06, + "loss": 0.7887, + "step": 575 + }, + { + "epoch": 1.34, + "learning_rate": 6.802884615384616e-06, + "loss": 0.7033, + "step": 576 + }, + { + "epoch": 1.34, + "learning_rate": 6.778846153846155e-06, + "loss": 0.7066, + "step": 577 + }, + { + "epoch": 1.35, + "learning_rate": 6.754807692307694e-06, + "loss": 0.7609, + "step": 578 + }, + { + "epoch": 1.35, + "learning_rate": 6.730769230769232e-06, + "loss": 0.772, + "step": 579 + }, + { + "epoch": 1.35, + "learning_rate": 6.70673076923077e-06, + "loss": 0.7014, + "step": 580 + }, + { + "epoch": 1.35, + "learning_rate": 6.682692307692308e-06, + "loss": 0.7289, + "step": 581 + }, + { + "epoch": 1.36, + "learning_rate": 6.6586538461538465e-06, + "loss": 0.7272, + "step": 582 + }, + { + "epoch": 1.36, + "learning_rate": 6.6346153846153846e-06, + "loss": 0.7183, + "step": 583 + }, + { + "epoch": 1.36, + "learning_rate": 6.610576923076923e-06, + "loss": 0.7195, + "step": 584 + }, + { + "epoch": 1.36, + "learning_rate": 6.586538461538462e-06, + "loss": 0.7047, + "step": 585 + }, + { + "epoch": 1.36, + "learning_rate": 6.5625e-06, + "loss": 0.7635, + "step": 586 + }, + { + "epoch": 1.37, + "learning_rate": 6.538461538461539e-06, + "loss": 0.7532, + "step": 587 + }, + { + "epoch": 1.37, + "learning_rate": 6.514423076923078e-06, + "loss": 0.7432, + "step": 588 + }, + { + "epoch": 1.37, + "learning_rate": 6.490384615384616e-06, + "loss": 0.7372, + "step": 589 + }, + { + "epoch": 1.37, + "learning_rate": 6.466346153846155e-06, + "loss": 0.7202, + "step": 590 + }, + { + "epoch": 1.38, + "learning_rate": 6.442307692307693e-06, + "loss": 0.6896, + "step": 591 + }, + { + "epoch": 1.38, + "learning_rate": 6.418269230769232e-06, + "loss": 0.7469, + "step": 592 + }, + { + "epoch": 1.38, + "learning_rate": 6.394230769230769e-06, + "loss": 0.663, + "step": 593 + }, + { + "epoch": 1.38, + "learning_rate": 6.370192307692308e-06, + "loss": 0.707, + "step": 594 + }, + { + "epoch": 1.39, + "learning_rate": 6.3461538461538466e-06, + "loss": 0.8043, + "step": 595 + }, + { + "epoch": 1.39, + "learning_rate": 6.322115384615385e-06, + "loss": 0.7627, + "step": 596 + }, + { + "epoch": 1.39, + "learning_rate": 6.2980769230769234e-06, + "loss": 0.7414, + "step": 597 + }, + { + "epoch": 1.39, + "learning_rate": 6.274038461538462e-06, + "loss": 0.7033, + "step": 598 + }, + { + "epoch": 1.39, + "learning_rate": 6.25e-06, + "loss": 0.6933, + "step": 599 + }, + { + "epoch": 1.4, + "learning_rate": 6.225961538461539e-06, + "loss": 0.6782, + "step": 600 + }, + { + "epoch": 1.4, + "learning_rate": 6.201923076923078e-06, + "loss": 0.7487, + "step": 601 + }, + { + "epoch": 1.4, + "learning_rate": 6.177884615384616e-06, + "loss": 0.7744, + "step": 602 + }, + { + "epoch": 1.4, + "learning_rate": 6.153846153846155e-06, + "loss": 0.7049, + "step": 603 + }, + { + "epoch": 1.41, + "learning_rate": 6.129807692307693e-06, + "loss": 0.7783, + "step": 604 + }, + { + "epoch": 1.41, + "learning_rate": 6.105769230769232e-06, + "loss": 0.7084, + "step": 605 + }, + { + "epoch": 1.41, + "learning_rate": 6.081730769230769e-06, + "loss": 0.7595, + "step": 606 + }, + { + "epoch": 1.41, + "learning_rate": 6.057692307692308e-06, + "loss": 0.702, + "step": 607 + }, + { + "epoch": 1.42, + "learning_rate": 6.033653846153847e-06, + "loss": 0.7654, + "step": 608 + }, + { + "epoch": 1.42, + "learning_rate": 6.009615384615385e-06, + "loss": 0.7016, + "step": 609 + }, + { + "epoch": 1.42, + "learning_rate": 5.9855769230769235e-06, + "loss": 0.7886, + "step": 610 + }, + { + "epoch": 1.42, + "learning_rate": 5.961538461538462e-06, + "loss": 0.7261, + "step": 611 + }, + { + "epoch": 1.42, + "learning_rate": 5.9375e-06, + "loss": 0.712, + "step": 612 + }, + { + "epoch": 1.43, + "learning_rate": 5.913461538461539e-06, + "loss": 0.768, + "step": 613 + }, + { + "epoch": 1.43, + "learning_rate": 5.889423076923077e-06, + "loss": 0.7186, + "step": 614 + }, + { + "epoch": 1.43, + "learning_rate": 5.865384615384616e-06, + "loss": 0.7065, + "step": 615 + }, + { + "epoch": 1.43, + "learning_rate": 5.841346153846155e-06, + "loss": 0.7522, + "step": 616 + }, + { + "epoch": 1.44, + "learning_rate": 5.817307692307693e-06, + "loss": 0.7611, + "step": 617 + }, + { + "epoch": 1.44, + "learning_rate": 5.793269230769232e-06, + "loss": 0.7253, + "step": 618 + }, + { + "epoch": 1.44, + "learning_rate": 5.769230769230769e-06, + "loss": 0.834, + "step": 619 + }, + { + "epoch": 1.44, + "learning_rate": 5.745192307692308e-06, + "loss": 0.7598, + "step": 620 + }, + { + "epoch": 1.45, + "learning_rate": 5.721153846153847e-06, + "loss": 0.7296, + "step": 621 + }, + { + "epoch": 1.45, + "learning_rate": 5.697115384615385e-06, + "loss": 0.7471, + "step": 622 + }, + { + "epoch": 1.45, + "learning_rate": 5.6730769230769235e-06, + "loss": 0.7268, + "step": 623 + }, + { + "epoch": 1.45, + "learning_rate": 5.6490384615384615e-06, + "loss": 0.7534, + "step": 624 + }, + { + "epoch": 1.46, + "learning_rate": 5.625e-06, + "loss": 0.7715, + "step": 625 + }, + { + "epoch": 1.46, + "learning_rate": 5.600961538461539e-06, + "loss": 0.6664, + "step": 626 + }, + { + "epoch": 1.46, + "learning_rate": 5.576923076923077e-06, + "loss": 0.747, + "step": 627 + }, + { + "epoch": 1.46, + "learning_rate": 5.552884615384616e-06, + "loss": 0.8049, + "step": 628 + }, + { + "epoch": 1.46, + "learning_rate": 5.528846153846155e-06, + "loss": 0.7335, + "step": 629 + }, + { + "epoch": 1.47, + "learning_rate": 5.504807692307693e-06, + "loss": 0.6928, + "step": 630 + }, + { + "epoch": 1.47, + "learning_rate": 5.480769230769232e-06, + "loss": 0.7788, + "step": 631 + }, + { + "epoch": 1.47, + "learning_rate": 5.456730769230769e-06, + "loss": 0.6739, + "step": 632 + }, + { + "epoch": 1.47, + "learning_rate": 5.432692307692308e-06, + "loss": 0.7819, + "step": 633 + }, + { + "epoch": 1.48, + "learning_rate": 5.408653846153847e-06, + "loss": 0.7333, + "step": 634 + }, + { + "epoch": 1.48, + "learning_rate": 5.384615384615385e-06, + "loss": 0.7469, + "step": 635 + }, + { + "epoch": 1.48, + "learning_rate": 5.3605769230769235e-06, + "loss": 0.7061, + "step": 636 + }, + { + "epoch": 1.48, + "learning_rate": 5.3365384615384615e-06, + "loss": 0.7084, + "step": 637 + }, + { + "epoch": 1.49, + "learning_rate": 5.3125e-06, + "loss": 0.6951, + "step": 638 + }, + { + "epoch": 1.49, + "learning_rate": 5.288461538461539e-06, + "loss": 0.7814, + "step": 639 + }, + { + "epoch": 1.49, + "learning_rate": 5.264423076923077e-06, + "loss": 0.7085, + "step": 640 + }, + { + "epoch": 1.49, + "learning_rate": 5.240384615384616e-06, + "loss": 0.7496, + "step": 641 + }, + { + "epoch": 1.49, + "learning_rate": 5.216346153846155e-06, + "loss": 0.7385, + "step": 642 + }, + { + "epoch": 1.5, + "learning_rate": 5.192307692307693e-06, + "loss": 0.7093, + "step": 643 + }, + { + "epoch": 1.5, + "learning_rate": 5.168269230769232e-06, + "loss": 0.6752, + "step": 644 + }, + { + "epoch": 1.5, + "learning_rate": 5.144230769230769e-06, + "loss": 0.7053, + "step": 645 + }, + { + "epoch": 1.5, + "learning_rate": 5.120192307692308e-06, + "loss": 0.7715, + "step": 646 + }, + { + "epoch": 1.51, + "learning_rate": 5.096153846153846e-06, + "loss": 0.7235, + "step": 647 + }, + { + "epoch": 1.51, + "learning_rate": 5.072115384615385e-06, + "loss": 0.7547, + "step": 648 + }, + { + "epoch": 1.51, + "learning_rate": 5.0480769230769235e-06, + "loss": 0.7393, + "step": 649 + }, + { + "epoch": 1.51, + "learning_rate": 5.0240384615384616e-06, + "loss": 0.7762, + "step": 650 + }, + { + "epoch": 1.52, + "learning_rate": 5e-06, + "loss": 0.6762, + "step": 651 + }, + { + "epoch": 1.52, + "learning_rate": 4.975961538461539e-06, + "loss": 0.6965, + "step": 652 + }, + { + "epoch": 1.52, + "learning_rate": 4.951923076923077e-06, + "loss": 0.7459, + "step": 653 + }, + { + "epoch": 1.52, + "learning_rate": 4.927884615384616e-06, + "loss": 0.7735, + "step": 654 + }, + { + "epoch": 1.53, + "learning_rate": 4.903846153846154e-06, + "loss": 0.7614, + "step": 655 + }, + { + "epoch": 1.53, + "learning_rate": 4.879807692307693e-06, + "loss": 0.7235, + "step": 656 + }, + { + "epoch": 1.53, + "learning_rate": 4.855769230769231e-06, + "loss": 0.7244, + "step": 657 + }, + { + "epoch": 1.53, + "learning_rate": 4.83173076923077e-06, + "loss": 0.6837, + "step": 658 + }, + { + "epoch": 1.53, + "learning_rate": 4.807692307692308e-06, + "loss": 0.7142, + "step": 659 + }, + { + "epoch": 1.54, + "learning_rate": 4.783653846153847e-06, + "loss": 0.7137, + "step": 660 + }, + { + "epoch": 1.54, + "learning_rate": 4.759615384615385e-06, + "loss": 0.793, + "step": 661 + }, + { + "epoch": 1.54, + "learning_rate": 4.7355769230769236e-06, + "loss": 0.7491, + "step": 662 + }, + { + "epoch": 1.54, + "learning_rate": 4.711538461538462e-06, + "loss": 0.7208, + "step": 663 + }, + { + "epoch": 1.55, + "learning_rate": 4.6875000000000004e-06, + "loss": 0.7695, + "step": 664 + }, + { + "epoch": 1.55, + "learning_rate": 4.663461538461539e-06, + "loss": 0.7025, + "step": 665 + }, + { + "epoch": 1.55, + "learning_rate": 4.639423076923077e-06, + "loss": 0.7709, + "step": 666 + }, + { + "epoch": 1.55, + "learning_rate": 4.615384615384616e-06, + "loss": 0.7231, + "step": 667 + }, + { + "epoch": 1.56, + "learning_rate": 4.591346153846154e-06, + "loss": 0.7089, + "step": 668 + }, + { + "epoch": 1.56, + "learning_rate": 4.567307692307692e-06, + "loss": 0.7847, + "step": 669 + }, + { + "epoch": 1.56, + "learning_rate": 4.543269230769231e-06, + "loss": 0.7278, + "step": 670 + }, + { + "epoch": 1.56, + "learning_rate": 4.51923076923077e-06, + "loss": 0.7408, + "step": 671 + }, + { + "epoch": 1.56, + "learning_rate": 4.495192307692308e-06, + "loss": 0.6999, + "step": 672 + }, + { + "epoch": 1.57, + "learning_rate": 4.471153846153847e-06, + "loss": 0.7176, + "step": 673 + }, + { + "epoch": 1.57, + "learning_rate": 4.447115384615385e-06, + "loss": 0.7011, + "step": 674 + }, + { + "epoch": 1.57, + "learning_rate": 4.423076923076924e-06, + "loss": 0.7319, + "step": 675 + }, + { + "epoch": 1.57, + "learning_rate": 4.399038461538462e-06, + "loss": 0.7415, + "step": 676 + }, + { + "epoch": 1.58, + "learning_rate": 4.3750000000000005e-06, + "loss": 0.6948, + "step": 677 + }, + { + "epoch": 1.58, + "learning_rate": 4.350961538461539e-06, + "loss": 0.6702, + "step": 678 + }, + { + "epoch": 1.58, + "learning_rate": 4.326923076923077e-06, + "loss": 0.6973, + "step": 679 + }, + { + "epoch": 1.58, + "learning_rate": 4.302884615384616e-06, + "loss": 0.712, + "step": 680 + }, + { + "epoch": 1.59, + "learning_rate": 4.278846153846154e-06, + "loss": 0.7413, + "step": 681 + }, + { + "epoch": 1.59, + "learning_rate": 4.254807692307692e-06, + "loss": 0.6852, + "step": 682 + }, + { + "epoch": 1.59, + "learning_rate": 4.230769230769231e-06, + "loss": 0.7531, + "step": 683 + }, + { + "epoch": 1.59, + "learning_rate": 4.20673076923077e-06, + "loss": 0.6617, + "step": 684 + }, + { + "epoch": 1.59, + "learning_rate": 4.182692307692308e-06, + "loss": 0.7335, + "step": 685 + }, + { + "epoch": 1.6, + "learning_rate": 4.158653846153847e-06, + "loss": 0.7174, + "step": 686 + }, + { + "epoch": 1.6, + "learning_rate": 4.134615384615385e-06, + "loss": 0.6879, + "step": 687 + }, + { + "epoch": 1.6, + "learning_rate": 4.110576923076924e-06, + "loss": 0.7348, + "step": 688 + }, + { + "epoch": 1.6, + "learning_rate": 4.086538461538462e-06, + "loss": 0.7413, + "step": 689 + }, + { + "epoch": 1.61, + "learning_rate": 4.0625000000000005e-06, + "loss": 0.7522, + "step": 690 + }, + { + "epoch": 1.61, + "learning_rate": 4.0384615384615385e-06, + "loss": 0.7668, + "step": 691 + }, + { + "epoch": 1.61, + "learning_rate": 4.014423076923077e-06, + "loss": 0.8087, + "step": 692 + }, + { + "epoch": 1.61, + "learning_rate": 3.990384615384616e-06, + "loss": 0.6655, + "step": 693 + }, + { + "epoch": 1.62, + "learning_rate": 3.966346153846154e-06, + "loss": 0.6891, + "step": 694 + }, + { + "epoch": 1.62, + "learning_rate": 3.942307692307692e-06, + "loss": 0.7042, + "step": 695 + }, + { + "epoch": 1.62, + "learning_rate": 3.918269230769231e-06, + "loss": 0.7726, + "step": 696 + }, + { + "epoch": 1.62, + "learning_rate": 3.89423076923077e-06, + "loss": 0.7435, + "step": 697 + }, + { + "epoch": 1.63, + "learning_rate": 3.870192307692308e-06, + "loss": 0.7504, + "step": 698 + }, + { + "epoch": 1.63, + "learning_rate": 3.846153846153847e-06, + "loss": 0.7441, + "step": 699 + }, + { + "epoch": 1.63, + "learning_rate": 3.822115384615385e-06, + "loss": 0.7076, + "step": 700 + }, + { + "epoch": 1.63, + "learning_rate": 3.7980769230769232e-06, + "loss": 0.7128, + "step": 701 + }, + { + "epoch": 1.63, + "learning_rate": 3.7740384615384617e-06, + "loss": 0.728, + "step": 702 + }, + { + "epoch": 1.64, + "learning_rate": 3.7500000000000005e-06, + "loss": 0.7769, + "step": 703 + }, + { + "epoch": 1.64, + "learning_rate": 3.725961538461539e-06, + "loss": 0.7213, + "step": 704 + }, + { + "epoch": 1.64, + "learning_rate": 3.7019230769230774e-06, + "loss": 0.7045, + "step": 705 + }, + { + "epoch": 1.64, + "learning_rate": 3.677884615384616e-06, + "loss": 0.7975, + "step": 706 + }, + { + "epoch": 1.65, + "learning_rate": 3.653846153846154e-06, + "loss": 0.7291, + "step": 707 + }, + { + "epoch": 1.65, + "learning_rate": 3.6298076923076927e-06, + "loss": 0.7165, + "step": 708 + }, + { + "epoch": 1.65, + "learning_rate": 3.605769230769231e-06, + "loss": 0.7053, + "step": 709 + }, + { + "epoch": 1.65, + "learning_rate": 3.5817307692307695e-06, + "loss": 0.726, + "step": 710 + }, + { + "epoch": 1.66, + "learning_rate": 3.557692307692308e-06, + "loss": 0.6997, + "step": 711 + }, + { + "epoch": 1.66, + "learning_rate": 3.533653846153847e-06, + "loss": 0.7519, + "step": 712 + }, + { + "epoch": 1.66, + "learning_rate": 3.509615384615385e-06, + "loss": 0.7029, + "step": 713 + }, + { + "epoch": 1.66, + "learning_rate": 3.4855769230769233e-06, + "loss": 0.7855, + "step": 714 + }, + { + "epoch": 1.66, + "learning_rate": 3.4615384615384617e-06, + "loss": 0.7331, + "step": 715 + }, + { + "epoch": 1.67, + "learning_rate": 3.4375e-06, + "loss": 0.7491, + "step": 716 + }, + { + "epoch": 1.67, + "learning_rate": 3.413461538461539e-06, + "loss": 0.7336, + "step": 717 + }, + { + "epoch": 1.67, + "learning_rate": 3.3894230769230774e-06, + "loss": 0.6901, + "step": 718 + }, + { + "epoch": 1.67, + "learning_rate": 3.365384615384616e-06, + "loss": 0.7543, + "step": 719 + }, + { + "epoch": 1.68, + "learning_rate": 3.341346153846154e-06, + "loss": 0.7013, + "step": 720 + }, + { + "epoch": 1.68, + "learning_rate": 3.3173076923076923e-06, + "loss": 0.7916, + "step": 721 + }, + { + "epoch": 1.68, + "learning_rate": 3.293269230769231e-06, + "loss": 0.6932, + "step": 722 + }, + { + "epoch": 1.68, + "learning_rate": 3.2692307692307696e-06, + "loss": 0.7266, + "step": 723 + }, + { + "epoch": 1.69, + "learning_rate": 3.245192307692308e-06, + "loss": 0.7365, + "step": 724 + }, + { + "epoch": 1.69, + "learning_rate": 3.2211538461538464e-06, + "loss": 0.7516, + "step": 725 + }, + { + "epoch": 1.69, + "learning_rate": 3.1971153846153844e-06, + "loss": 0.7308, + "step": 726 + }, + { + "epoch": 1.69, + "learning_rate": 3.1730769230769233e-06, + "loss": 0.7482, + "step": 727 + }, + { + "epoch": 1.69, + "learning_rate": 3.1490384615384617e-06, + "loss": 0.7247, + "step": 728 + }, + { + "epoch": 1.7, + "learning_rate": 3.125e-06, + "loss": 0.7203, + "step": 729 + }, + { + "epoch": 1.7, + "learning_rate": 3.100961538461539e-06, + "loss": 0.7611, + "step": 730 + }, + { + "epoch": 1.7, + "learning_rate": 3.0769230769230774e-06, + "loss": 0.7104, + "step": 731 + }, + { + "epoch": 1.7, + "learning_rate": 3.052884615384616e-06, + "loss": 0.704, + "step": 732 + }, + { + "epoch": 1.71, + "learning_rate": 3.028846153846154e-06, + "loss": 0.7557, + "step": 733 + }, + { + "epoch": 1.71, + "learning_rate": 3.0048076923076923e-06, + "loss": 0.7174, + "step": 734 + }, + { + "epoch": 1.71, + "learning_rate": 2.980769230769231e-06, + "loss": 0.7241, + "step": 735 + }, + { + "epoch": 1.71, + "learning_rate": 2.9567307692307696e-06, + "loss": 0.7018, + "step": 736 + }, + { + "epoch": 1.72, + "learning_rate": 2.932692307692308e-06, + "loss": 0.7, + "step": 737 + }, + { + "epoch": 1.72, + "learning_rate": 2.9086538461538465e-06, + "loss": 0.7544, + "step": 738 + }, + { + "epoch": 1.72, + "learning_rate": 2.8846153846153845e-06, + "loss": 0.6733, + "step": 739 + }, + { + "epoch": 1.72, + "learning_rate": 2.8605769230769233e-06, + "loss": 0.668, + "step": 740 + }, + { + "epoch": 1.73, + "learning_rate": 2.8365384615384617e-06, + "loss": 0.7321, + "step": 741 + }, + { + "epoch": 1.73, + "learning_rate": 2.8125e-06, + "loss": 0.7008, + "step": 742 + }, + { + "epoch": 1.73, + "learning_rate": 2.7884615384615386e-06, + "loss": 0.7344, + "step": 743 + }, + { + "epoch": 1.73, + "learning_rate": 2.7644230769230775e-06, + "loss": 0.782, + "step": 744 + }, + { + "epoch": 1.73, + "learning_rate": 2.740384615384616e-06, + "loss": 0.7277, + "step": 745 + }, + { + "epoch": 1.74, + "learning_rate": 2.716346153846154e-06, + "loss": 0.7396, + "step": 746 + }, + { + "epoch": 1.74, + "learning_rate": 2.6923076923076923e-06, + "loss": 0.7626, + "step": 747 + }, + { + "epoch": 1.74, + "learning_rate": 2.6682692307692308e-06, + "loss": 0.7108, + "step": 748 + }, + { + "epoch": 1.74, + "learning_rate": 2.6442307692307696e-06, + "loss": 0.7246, + "step": 749 + }, + { + "epoch": 1.75, + "learning_rate": 2.620192307692308e-06, + "loss": 0.6997, + "step": 750 + }, + { + "epoch": 1.75, + "learning_rate": 2.5961538461538465e-06, + "loss": 0.6956, + "step": 751 + }, + { + "epoch": 1.75, + "learning_rate": 2.5721153846153845e-06, + "loss": 0.6799, + "step": 752 + }, + { + "epoch": 1.75, + "learning_rate": 2.548076923076923e-06, + "loss": 0.7581, + "step": 753 + }, + { + "epoch": 1.76, + "learning_rate": 2.5240384615384618e-06, + "loss": 0.6765, + "step": 754 + }, + { + "epoch": 1.76, + "learning_rate": 2.5e-06, + "loss": 0.7695, + "step": 755 + }, + { + "epoch": 1.76, + "learning_rate": 2.4759615384615386e-06, + "loss": 0.6721, + "step": 756 + }, + { + "epoch": 1.76, + "learning_rate": 2.451923076923077e-06, + "loss": 0.6641, + "step": 757 + }, + { + "epoch": 1.76, + "learning_rate": 2.4278846153846155e-06, + "loss": 0.7327, + "step": 758 + }, + { + "epoch": 1.77, + "learning_rate": 2.403846153846154e-06, + "loss": 0.7459, + "step": 759 + }, + { + "epoch": 1.77, + "learning_rate": 2.3798076923076924e-06, + "loss": 0.7117, + "step": 760 + }, + { + "epoch": 1.77, + "learning_rate": 2.355769230769231e-06, + "loss": 0.7001, + "step": 761 + }, + { + "epoch": 1.77, + "learning_rate": 2.3317307692307696e-06, + "loss": 0.7134, + "step": 762 + }, + { + "epoch": 1.78, + "learning_rate": 2.307692307692308e-06, + "loss": 0.725, + "step": 763 + }, + { + "epoch": 1.78, + "learning_rate": 2.283653846153846e-06, + "loss": 0.7492, + "step": 764 + }, + { + "epoch": 1.78, + "learning_rate": 2.259615384615385e-06, + "loss": 0.7317, + "step": 765 + }, + { + "epoch": 1.78, + "learning_rate": 2.2355769230769234e-06, + "loss": 0.7042, + "step": 766 + }, + { + "epoch": 1.79, + "learning_rate": 2.211538461538462e-06, + "loss": 0.7401, + "step": 767 + }, + { + "epoch": 1.79, + "learning_rate": 2.1875000000000002e-06, + "loss": 0.7896, + "step": 768 + }, + { + "epoch": 1.79, + "learning_rate": 2.1634615384615387e-06, + "loss": 0.7735, + "step": 769 + }, + { + "epoch": 1.79, + "learning_rate": 2.139423076923077e-06, + "loss": 0.755, + "step": 770 + }, + { + "epoch": 1.8, + "learning_rate": 2.1153846153846155e-06, + "loss": 0.6535, + "step": 771 + }, + { + "epoch": 1.8, + "learning_rate": 2.091346153846154e-06, + "loss": 0.7115, + "step": 772 + }, + { + "epoch": 1.8, + "learning_rate": 2.0673076923076924e-06, + "loss": 0.738, + "step": 773 + }, + { + "epoch": 1.8, + "learning_rate": 2.043269230769231e-06, + "loss": 0.7527, + "step": 774 + }, + { + "epoch": 1.8, + "learning_rate": 2.0192307692307692e-06, + "loss": 0.6896, + "step": 775 + }, + { + "epoch": 1.81, + "learning_rate": 1.995192307692308e-06, + "loss": 0.6956, + "step": 776 + }, + { + "epoch": 1.81, + "learning_rate": 1.971153846153846e-06, + "loss": 0.7307, + "step": 777 + }, + { + "epoch": 1.81, + "learning_rate": 1.947115384615385e-06, + "loss": 0.6916, + "step": 778 + }, + { + "epoch": 1.81, + "learning_rate": 1.9230769230769234e-06, + "loss": 0.7192, + "step": 779 + }, + { + "epoch": 1.82, + "learning_rate": 1.8990384615384616e-06, + "loss": 0.731, + "step": 780 + }, + { + "epoch": 1.82, + "learning_rate": 1.8750000000000003e-06, + "loss": 0.6862, + "step": 781 + }, + { + "epoch": 1.82, + "learning_rate": 1.8509615384615387e-06, + "loss": 0.6842, + "step": 782 + }, + { + "epoch": 1.82, + "learning_rate": 1.826923076923077e-06, + "loss": 0.7115, + "step": 783 + }, + { + "epoch": 1.83, + "learning_rate": 1.8028846153846156e-06, + "loss": 0.7259, + "step": 784 + }, + { + "epoch": 1.83, + "learning_rate": 1.778846153846154e-06, + "loss": 0.7035, + "step": 785 + }, + { + "epoch": 1.83, + "learning_rate": 1.7548076923076924e-06, + "loss": 0.7665, + "step": 786 + }, + { + "epoch": 1.83, + "learning_rate": 1.7307692307692308e-06, + "loss": 0.7068, + "step": 787 + }, + { + "epoch": 1.83, + "learning_rate": 1.7067307692307695e-06, + "loss": 0.7142, + "step": 788 + }, + { + "epoch": 1.84, + "learning_rate": 1.682692307692308e-06, + "loss": 0.7128, + "step": 789 + }, + { + "epoch": 1.84, + "learning_rate": 1.6586538461538461e-06, + "loss": 0.811, + "step": 790 + }, + { + "epoch": 1.84, + "learning_rate": 1.6346153846153848e-06, + "loss": 0.7538, + "step": 791 + }, + { + "epoch": 1.84, + "learning_rate": 1.6105769230769232e-06, + "loss": 0.7396, + "step": 792 + }, + { + "epoch": 1.85, + "learning_rate": 1.5865384615384616e-06, + "loss": 0.7484, + "step": 793 + }, + { + "epoch": 1.85, + "learning_rate": 1.5625e-06, + "loss": 0.7008, + "step": 794 + }, + { + "epoch": 1.85, + "learning_rate": 1.5384615384615387e-06, + "loss": 0.7069, + "step": 795 + }, + { + "epoch": 1.85, + "learning_rate": 1.514423076923077e-06, + "loss": 0.7385, + "step": 796 + }, + { + "epoch": 1.86, + "learning_rate": 1.4903846153846156e-06, + "loss": 0.7283, + "step": 797 + }, + { + "epoch": 1.86, + "learning_rate": 1.466346153846154e-06, + "loss": 0.7702, + "step": 798 + }, + { + "epoch": 1.86, + "learning_rate": 1.4423076923076922e-06, + "loss": 0.6993, + "step": 799 + }, + { + "epoch": 1.86, + "learning_rate": 1.4182692307692309e-06, + "loss": 0.7355, + "step": 800 + }, + { + "epoch": 1.86, + "learning_rate": 1.3942307692307693e-06, + "loss": 0.7598, + "step": 801 + }, + { + "epoch": 1.87, + "learning_rate": 1.370192307692308e-06, + "loss": 0.7578, + "step": 802 + }, + { + "epoch": 1.87, + "learning_rate": 1.3461538461538462e-06, + "loss": 0.6848, + "step": 803 + }, + { + "epoch": 1.87, + "learning_rate": 1.3221153846153848e-06, + "loss": 0.7129, + "step": 804 + }, + { + "epoch": 1.87, + "learning_rate": 1.2980769230769232e-06, + "loss": 0.7557, + "step": 805 + }, + { + "epoch": 1.88, + "learning_rate": 1.2740384615384615e-06, + "loss": 0.718, + "step": 806 + }, + { + "epoch": 1.88, + "learning_rate": 1.25e-06, + "loss": 0.7332, + "step": 807 + }, + { + "epoch": 1.88, + "learning_rate": 1.2259615384615385e-06, + "loss": 0.6985, + "step": 808 + }, + { + "epoch": 1.88, + "learning_rate": 1.201923076923077e-06, + "loss": 0.7342, + "step": 809 + }, + { + "epoch": 1.89, + "learning_rate": 1.1778846153846154e-06, + "loss": 0.7681, + "step": 810 + }, + { + "epoch": 1.89, + "learning_rate": 1.153846153846154e-06, + "loss": 0.6903, + "step": 811 + }, + { + "epoch": 1.89, + "learning_rate": 1.1298076923076925e-06, + "loss": 0.6801, + "step": 812 + }, + { + "epoch": 1.89, + "learning_rate": 1.105769230769231e-06, + "loss": 0.7243, + "step": 813 + }, + { + "epoch": 1.9, + "learning_rate": 1.0817307692307693e-06, + "loss": 0.6756, + "step": 814 + }, + { + "epoch": 1.9, + "learning_rate": 1.0576923076923078e-06, + "loss": 0.6777, + "step": 815 + }, + { + "epoch": 1.9, + "learning_rate": 1.0336538461538462e-06, + "loss": 0.7568, + "step": 816 + }, + { + "epoch": 1.9, + "learning_rate": 1.0096153846153846e-06, + "loss": 0.7401, + "step": 817 + }, + { + "epoch": 1.9, + "learning_rate": 9.85576923076923e-07, + "loss": 0.6894, + "step": 818 + }, + { + "epoch": 1.91, + "learning_rate": 9.615384615384617e-07, + "loss": 0.8246, + "step": 819 + }, + { + "epoch": 1.91, + "learning_rate": 9.375000000000001e-07, + "loss": 0.699, + "step": 820 + }, + { + "epoch": 1.91, + "learning_rate": 9.134615384615385e-07, + "loss": 0.7872, + "step": 821 + }, + { + "epoch": 1.91, + "learning_rate": 8.89423076923077e-07, + "loss": 0.6746, + "step": 822 + }, + { + "epoch": 1.92, + "learning_rate": 8.653846153846154e-07, + "loss": 0.7123, + "step": 823 + }, + { + "epoch": 1.92, + "learning_rate": 8.41346153846154e-07, + "loss": 0.6976, + "step": 824 + }, + { + "epoch": 1.92, + "learning_rate": 8.173076923076924e-07, + "loss": 0.7299, + "step": 825 + }, + { + "epoch": 1.92, + "learning_rate": 7.932692307692308e-07, + "loss": 0.7014, + "step": 826 + }, + { + "epoch": 1.93, + "learning_rate": 7.692307692307694e-07, + "loss": 0.7378, + "step": 827 + }, + { + "epoch": 1.93, + "learning_rate": 7.451923076923078e-07, + "loss": 0.7206, + "step": 828 + }, + { + "epoch": 1.93, + "learning_rate": 7.211538461538461e-07, + "loss": 0.6853, + "step": 829 + }, + { + "epoch": 1.93, + "learning_rate": 6.971153846153847e-07, + "loss": 0.7227, + "step": 830 + }, + { + "epoch": 1.93, + "learning_rate": 6.730769230769231e-07, + "loss": 0.7564, + "step": 831 + }, + { + "epoch": 1.94, + "learning_rate": 6.490384615384616e-07, + "loss": 0.7167, + "step": 832 + }, + { + "epoch": 1.94, + "learning_rate": 6.25e-07, + "loss": 0.7206, + "step": 833 + }, + { + "epoch": 1.94, + "learning_rate": 6.009615384615385e-07, + "loss": 0.6948, + "step": 834 + }, + { + "epoch": 1.94, + "learning_rate": 5.76923076923077e-07, + "loss": 0.7189, + "step": 835 + }, + { + "epoch": 1.95, + "learning_rate": 5.528846153846155e-07, + "loss": 0.7095, + "step": 836 + }, + { + "epoch": 1.95, + "learning_rate": 5.288461538461539e-07, + "loss": 0.7361, + "step": 837 + }, + { + "epoch": 1.95, + "learning_rate": 5.048076923076923e-07, + "loss": 0.6983, + "step": 838 + }, + { + "epoch": 1.95, + "learning_rate": 4.807692307692308e-07, + "loss": 0.7802, + "step": 839 + }, + { + "epoch": 1.96, + "learning_rate": 4.5673076923076923e-07, + "loss": 0.7157, + "step": 840 + }, + { + "epoch": 1.96, + "learning_rate": 4.326923076923077e-07, + "loss": 0.7349, + "step": 841 + }, + { + "epoch": 1.96, + "learning_rate": 4.086538461538462e-07, + "loss": 0.7576, + "step": 842 + }, + { + "epoch": 1.96, + "learning_rate": 3.846153846153847e-07, + "loss": 0.713, + "step": 843 + }, + { + "epoch": 1.97, + "learning_rate": 3.6057692307692306e-07, + "loss": 0.6931, + "step": 844 + }, + { + "epoch": 1.97, + "learning_rate": 3.3653846153846154e-07, + "loss": 0.7504, + "step": 845 + }, + { + "epoch": 1.97, + "learning_rate": 3.125e-07, + "loss": 0.7984, + "step": 846 + }, + { + "epoch": 1.97, + "learning_rate": 2.884615384615385e-07, + "loss": 0.7518, + "step": 847 + }, + { + "epoch": 1.97, + "learning_rate": 2.6442307692307694e-07, + "loss": 0.6893, + "step": 848 + }, + { + "epoch": 1.98, + "learning_rate": 2.403846153846154e-07, + "loss": 0.6848, + "step": 849 + }, + { + "epoch": 1.98, + "learning_rate": 2.1634615384615386e-07, + "loss": 0.7338, + "step": 850 + }, + { + "epoch": 1.98, + "learning_rate": 1.9230769230769234e-07, + "loss": 0.6898, + "step": 851 + }, + { + "epoch": 1.98, + "learning_rate": 1.6826923076923077e-07, + "loss": 0.7097, + "step": 852 + }, + { + "epoch": 1.99, + "learning_rate": 1.4423076923076925e-07, + "loss": 0.7671, + "step": 853 + }, + { + "epoch": 1.99, + "learning_rate": 1.201923076923077e-07, + "loss": 0.7528, + "step": 854 + }, + { + "epoch": 1.99, + "learning_rate": 9.615384615384617e-08, + "loss": 0.7427, + "step": 855 + }, + { + "epoch": 1.99, + "learning_rate": 7.211538461538463e-08, + "loss": 0.7086, + "step": 856 + }, + { + "epoch": 2.0, + "learning_rate": 4.8076923076923085e-08, + "loss": 0.7835, + "step": 857 + }, + { + "epoch": 2.0, + "learning_rate": 2.4038461538461542e-08, + "loss": 0.7139, + "step": 858 + }, + { + "epoch": 2.0, + "step": 858, + "total_flos": 2.9325289200979804e+18, + "train_loss": 0.7660849066603156, + "train_runtime": 11277.6545, + "train_samples_per_second": 9.749, + "train_steps_per_second": 0.076 + } + ], + "max_steps": 858, + "num_train_epochs": 2, + "total_flos": 2.9325289200979804e+18, + "trial_name": null, + "trial_params": null +}