{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "eval_steps": 500, "global_step": 500, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.04, "learning_rate": 0.0001996, "loss": 2.4683, "step": 1 }, { "epoch": 0.08, "learning_rate": 0.00019920000000000002, "loss": 2.2023, "step": 2 }, { "epoch": 0.12, "learning_rate": 0.0001988, "loss": 2.3039, "step": 3 }, { "epoch": 0.16, "learning_rate": 0.0001984, "loss": 2.1855, "step": 4 }, { "epoch": 0.2, "learning_rate": 0.00019800000000000002, "loss": 2.328, "step": 5 }, { "epoch": 0.24, "learning_rate": 0.0001976, "loss": 2.3407, "step": 6 }, { "epoch": 0.28, "learning_rate": 0.0001972, "loss": 2.3432, "step": 7 }, { "epoch": 0.32, "learning_rate": 0.0001968, "loss": 2.2333, "step": 8 }, { "epoch": 0.36, "learning_rate": 0.0001964, "loss": 2.1761, "step": 9 }, { "epoch": 0.4, "learning_rate": 0.000196, "loss": 2.1473, "step": 10 }, { "epoch": 0.44, "learning_rate": 0.0001956, "loss": 2.2076, "step": 11 }, { "epoch": 0.48, "learning_rate": 0.0001952, "loss": 2.1925, "step": 12 }, { "epoch": 0.52, "learning_rate": 0.0001948, "loss": 2.1694, "step": 13 }, { "epoch": 0.56, "learning_rate": 0.0001944, "loss": 2.1056, "step": 14 }, { "epoch": 0.6, "learning_rate": 0.000194, "loss": 2.2426, "step": 15 }, { "epoch": 0.64, "learning_rate": 0.00019360000000000002, "loss": 2.2635, "step": 16 }, { "epoch": 0.68, "learning_rate": 0.0001932, "loss": 2.251, "step": 17 }, { "epoch": 0.72, "learning_rate": 0.0001928, "loss": 2.224, "step": 18 }, { "epoch": 0.76, "learning_rate": 0.00019240000000000001, "loss": 2.1848, "step": 19 }, { "epoch": 0.8, "learning_rate": 0.000192, "loss": 2.1341, "step": 20 }, { "epoch": 0.84, "learning_rate": 0.0001916, "loss": 2.126, "step": 21 }, { "epoch": 0.88, "learning_rate": 0.0001912, "loss": 2.0959, "step": 22 }, { "epoch": 0.92, "learning_rate": 0.0001908, "loss": 2.2446, "step": 23 }, { "epoch": 0.96, "learning_rate": 0.0001904, "loss": 1.9448, "step": 24 }, { "epoch": 1.0, "learning_rate": 0.00019, "loss": 2.0939, "step": 25 }, { "epoch": 1.04, "learning_rate": 0.0001896, "loss": 2.1247, "step": 26 }, { "epoch": 1.08, "learning_rate": 0.0001892, "loss": 1.9417, "step": 27 }, { "epoch": 1.12, "learning_rate": 0.0001888, "loss": 2.105, "step": 28 }, { "epoch": 1.16, "learning_rate": 0.0001884, "loss": 2.1595, "step": 29 }, { "epoch": 1.2, "learning_rate": 0.000188, "loss": 2.2009, "step": 30 }, { "epoch": 1.24, "learning_rate": 0.0001876, "loss": 2.0784, "step": 31 }, { "epoch": 1.28, "learning_rate": 0.00018720000000000002, "loss": 2.2173, "step": 32 }, { "epoch": 1.32, "learning_rate": 0.00018680000000000001, "loss": 2.1185, "step": 33 }, { "epoch": 1.36, "learning_rate": 0.00018640000000000003, "loss": 1.988, "step": 34 }, { "epoch": 1.4, "learning_rate": 0.00018600000000000002, "loss": 1.9493, "step": 35 }, { "epoch": 1.44, "learning_rate": 0.0001856, "loss": 1.9947, "step": 36 }, { "epoch": 1.48, "learning_rate": 0.00018520000000000003, "loss": 2.0506, "step": 37 }, { "epoch": 1.52, "learning_rate": 0.00018480000000000002, "loss": 2.0829, "step": 38 }, { "epoch": 1.56, "learning_rate": 0.0001844, "loss": 2.1455, "step": 39 }, { "epoch": 1.6, "learning_rate": 0.00018400000000000003, "loss": 2.0304, "step": 40 }, { "epoch": 1.64, "learning_rate": 0.00018360000000000002, "loss": 2.006, "step": 41 }, { "epoch": 1.68, "learning_rate": 0.0001832, "loss": 2.1759, "step": 42 }, { "epoch": 1.72, "learning_rate": 0.00018280000000000003, "loss": 2.0093, "step": 43 }, { "epoch": 1.76, "learning_rate": 0.00018240000000000002, "loss": 2.0683, "step": 44 }, { "epoch": 1.8, "learning_rate": 0.000182, "loss": 2.1352, "step": 45 }, { "epoch": 1.84, "learning_rate": 0.00018160000000000002, "loss": 1.9736, "step": 46 }, { "epoch": 1.88, "learning_rate": 0.0001812, "loss": 1.9631, "step": 47 }, { "epoch": 1.92, "learning_rate": 0.0001808, "loss": 2.1024, "step": 48 }, { "epoch": 1.96, "learning_rate": 0.00018040000000000002, "loss": 1.9895, "step": 49 }, { "epoch": 2.0, "learning_rate": 0.00018, "loss": 2.0067, "step": 50 }, { "epoch": 2.04, "learning_rate": 0.0001796, "loss": 2.0509, "step": 51 }, { "epoch": 2.08, "learning_rate": 0.00017920000000000002, "loss": 1.8795, "step": 52 }, { "epoch": 2.12, "learning_rate": 0.0001788, "loss": 2.0633, "step": 53 }, { "epoch": 2.16, "learning_rate": 0.0001784, "loss": 1.9998, "step": 54 }, { "epoch": 2.2, "learning_rate": 0.00017800000000000002, "loss": 2.0675, "step": 55 }, { "epoch": 2.24, "learning_rate": 0.0001776, "loss": 2.0129, "step": 56 }, { "epoch": 2.28, "learning_rate": 0.0001772, "loss": 1.9302, "step": 57 }, { "epoch": 2.32, "learning_rate": 0.00017680000000000001, "loss": 2.0472, "step": 58 }, { "epoch": 2.36, "learning_rate": 0.0001764, "loss": 2.0031, "step": 59 }, { "epoch": 2.4, "learning_rate": 0.00017600000000000002, "loss": 2.0231, "step": 60 }, { "epoch": 2.44, "learning_rate": 0.0001756, "loss": 2.0192, "step": 61 }, { "epoch": 2.48, "learning_rate": 0.0001752, "loss": 2.1336, "step": 62 }, { "epoch": 2.52, "learning_rate": 0.00017480000000000002, "loss": 1.7753, "step": 63 }, { "epoch": 2.56, "learning_rate": 0.0001744, "loss": 2.0274, "step": 64 }, { "epoch": 2.6, "learning_rate": 0.000174, "loss": 1.8893, "step": 65 }, { "epoch": 2.64, "learning_rate": 0.00017360000000000002, "loss": 2.0341, "step": 66 }, { "epoch": 2.68, "learning_rate": 0.0001732, "loss": 2.1081, "step": 67 }, { "epoch": 2.72, "learning_rate": 0.0001728, "loss": 1.9463, "step": 68 }, { "epoch": 2.76, "learning_rate": 0.00017240000000000002, "loss": 2.0607, "step": 69 }, { "epoch": 2.8, "learning_rate": 0.000172, "loss": 1.9803, "step": 70 }, { "epoch": 2.84, "learning_rate": 0.0001716, "loss": 1.7663, "step": 71 }, { "epoch": 2.88, "learning_rate": 0.00017120000000000001, "loss": 2.1116, "step": 72 }, { "epoch": 2.92, "learning_rate": 0.0001708, "loss": 1.9039, "step": 73 }, { "epoch": 2.96, "learning_rate": 0.0001704, "loss": 2.049, "step": 74 }, { "epoch": 3.0, "learning_rate": 0.00017, "loss": 1.991, "step": 75 }, { "epoch": 3.04, "learning_rate": 0.0001696, "loss": 1.8755, "step": 76 }, { "epoch": 3.08, "learning_rate": 0.0001692, "loss": 2.0367, "step": 77 }, { "epoch": 3.12, "learning_rate": 0.0001688, "loss": 1.9959, "step": 78 }, { "epoch": 3.16, "learning_rate": 0.0001684, "loss": 1.8051, "step": 79 }, { "epoch": 3.2, "learning_rate": 0.000168, "loss": 2.0446, "step": 80 }, { "epoch": 3.24, "learning_rate": 0.0001676, "loss": 1.7873, "step": 81 }, { "epoch": 3.28, "learning_rate": 0.0001672, "loss": 1.9264, "step": 82 }, { "epoch": 3.32, "learning_rate": 0.0001668, "loss": 1.8595, "step": 83 }, { "epoch": 3.36, "learning_rate": 0.0001664, "loss": 1.9992, "step": 84 }, { "epoch": 3.4, "learning_rate": 0.000166, "loss": 1.8783, "step": 85 }, { "epoch": 3.44, "learning_rate": 0.0001656, "loss": 2.0216, "step": 86 }, { "epoch": 3.48, "learning_rate": 0.0001652, "loss": 1.947, "step": 87 }, { "epoch": 3.52, "learning_rate": 0.0001648, "loss": 1.9554, "step": 88 }, { "epoch": 3.56, "learning_rate": 0.0001644, "loss": 1.8563, "step": 89 }, { "epoch": 3.6, "learning_rate": 0.000164, "loss": 1.7795, "step": 90 }, { "epoch": 3.64, "learning_rate": 0.0001636, "loss": 1.9347, "step": 91 }, { "epoch": 3.68, "learning_rate": 0.0001632, "loss": 2.0078, "step": 92 }, { "epoch": 3.72, "learning_rate": 0.0001628, "loss": 1.9964, "step": 93 }, { "epoch": 3.76, "learning_rate": 0.00016240000000000002, "loss": 1.9004, "step": 94 }, { "epoch": 3.8, "learning_rate": 0.000162, "loss": 1.9446, "step": 95 }, { "epoch": 3.84, "learning_rate": 0.00016160000000000002, "loss": 1.8857, "step": 96 }, { "epoch": 3.88, "learning_rate": 0.00016120000000000002, "loss": 1.8797, "step": 97 }, { "epoch": 3.92, "learning_rate": 0.0001608, "loss": 1.7643, "step": 98 }, { "epoch": 3.96, "learning_rate": 0.00016040000000000002, "loss": 1.9724, "step": 99 }, { "epoch": 4.0, "learning_rate": 0.00016, "loss": 1.9058, "step": 100 }, { "epoch": 4.04, "learning_rate": 0.0001596, "loss": 1.8663, "step": 101 }, { "epoch": 4.08, "learning_rate": 0.00015920000000000002, "loss": 1.8457, "step": 102 }, { "epoch": 4.12, "learning_rate": 0.0001588, "loss": 1.8394, "step": 103 }, { "epoch": 4.16, "learning_rate": 0.00015840000000000003, "loss": 1.8941, "step": 104 }, { "epoch": 4.2, "learning_rate": 0.00015800000000000002, "loss": 1.8601, "step": 105 }, { "epoch": 4.24, "learning_rate": 0.0001576, "loss": 1.7365, "step": 106 }, { "epoch": 4.28, "learning_rate": 0.00015720000000000003, "loss": 1.8809, "step": 107 }, { "epoch": 4.32, "learning_rate": 0.00015680000000000002, "loss": 2.0206, "step": 108 }, { "epoch": 4.36, "learning_rate": 0.0001564, "loss": 1.7776, "step": 109 }, { "epoch": 4.4, "learning_rate": 0.00015600000000000002, "loss": 1.9089, "step": 110 }, { "epoch": 4.44, "learning_rate": 0.00015560000000000001, "loss": 1.8464, "step": 111 }, { "epoch": 4.48, "learning_rate": 0.0001552, "loss": 1.7943, "step": 112 }, { "epoch": 4.52, "learning_rate": 0.00015480000000000002, "loss": 1.8081, "step": 113 }, { "epoch": 4.56, "learning_rate": 0.0001544, "loss": 1.734, "step": 114 }, { "epoch": 4.6, "learning_rate": 0.000154, "loss": 1.8379, "step": 115 }, { "epoch": 4.64, "learning_rate": 0.00015360000000000002, "loss": 1.6841, "step": 116 }, { "epoch": 4.68, "learning_rate": 0.0001532, "loss": 1.8253, "step": 117 }, { "epoch": 4.72, "learning_rate": 0.0001528, "loss": 1.7607, "step": 118 }, { "epoch": 4.76, "learning_rate": 0.00015240000000000002, "loss": 1.8205, "step": 119 }, { "epoch": 4.8, "learning_rate": 0.000152, "loss": 1.8443, "step": 120 }, { "epoch": 4.84, "learning_rate": 0.0001516, "loss": 1.8824, "step": 121 }, { "epoch": 4.88, "learning_rate": 0.00015120000000000002, "loss": 1.8369, "step": 122 }, { "epoch": 4.92, "learning_rate": 0.0001508, "loss": 1.8017, "step": 123 }, { "epoch": 4.96, "learning_rate": 0.0001504, "loss": 1.7858, "step": 124 }, { "epoch": 5.0, "learning_rate": 0.00015000000000000001, "loss": 1.8366, "step": 125 }, { "epoch": 5.04, "learning_rate": 0.0001496, "loss": 1.7353, "step": 126 }, { "epoch": 5.08, "learning_rate": 0.0001492, "loss": 1.6017, "step": 127 }, { "epoch": 5.12, "learning_rate": 0.0001488, "loss": 1.6645, "step": 128 }, { "epoch": 5.16, "learning_rate": 0.0001484, "loss": 1.8663, "step": 129 }, { "epoch": 5.2, "learning_rate": 0.000148, "loss": 1.7009, "step": 130 }, { "epoch": 5.24, "learning_rate": 0.0001476, "loss": 1.7371, "step": 131 }, { "epoch": 5.28, "learning_rate": 0.0001472, "loss": 1.8555, "step": 132 }, { "epoch": 5.32, "learning_rate": 0.00014680000000000002, "loss": 1.6373, "step": 133 }, { "epoch": 5.36, "learning_rate": 0.0001464, "loss": 1.7211, "step": 134 }, { "epoch": 5.4, "learning_rate": 0.000146, "loss": 1.614, "step": 135 }, { "epoch": 5.44, "learning_rate": 0.00014560000000000002, "loss": 1.8736, "step": 136 }, { "epoch": 5.48, "learning_rate": 0.0001452, "loss": 1.7229, "step": 137 }, { "epoch": 5.52, "learning_rate": 0.0001448, "loss": 1.7315, "step": 138 }, { "epoch": 5.56, "learning_rate": 0.0001444, "loss": 1.7259, "step": 139 }, { "epoch": 5.6, "learning_rate": 0.000144, "loss": 1.7032, "step": 140 }, { "epoch": 5.64, "learning_rate": 0.0001436, "loss": 1.9237, "step": 141 }, { "epoch": 5.68, "learning_rate": 0.0001432, "loss": 1.7821, "step": 142 }, { "epoch": 5.72, "learning_rate": 0.0001428, "loss": 1.6081, "step": 143 }, { "epoch": 5.76, "learning_rate": 0.0001424, "loss": 1.7979, "step": 144 }, { "epoch": 5.8, "learning_rate": 0.000142, "loss": 1.6675, "step": 145 }, { "epoch": 5.84, "learning_rate": 0.0001416, "loss": 1.6758, "step": 146 }, { "epoch": 5.88, "learning_rate": 0.0001412, "loss": 1.7783, "step": 147 }, { "epoch": 5.92, "learning_rate": 0.0001408, "loss": 1.5935, "step": 148 }, { "epoch": 5.96, "learning_rate": 0.0001404, "loss": 1.7372, "step": 149 }, { "epoch": 6.0, "learning_rate": 0.00014, "loss": 1.6308, "step": 150 }, { "epoch": 6.04, "learning_rate": 0.0001396, "loss": 1.5829, "step": 151 }, { "epoch": 6.08, "learning_rate": 0.0001392, "loss": 1.6538, "step": 152 }, { "epoch": 6.12, "learning_rate": 0.00013879999999999999, "loss": 1.7624, "step": 153 }, { "epoch": 6.16, "learning_rate": 0.0001384, "loss": 1.4968, "step": 154 }, { "epoch": 6.2, "learning_rate": 0.000138, "loss": 1.7305, "step": 155 }, { "epoch": 6.24, "learning_rate": 0.00013759999999999998, "loss": 1.6536, "step": 156 }, { "epoch": 6.28, "learning_rate": 0.00013720000000000003, "loss": 1.654, "step": 157 }, { "epoch": 6.32, "learning_rate": 0.00013680000000000002, "loss": 1.7163, "step": 158 }, { "epoch": 6.36, "learning_rate": 0.0001364, "loss": 1.6599, "step": 159 }, { "epoch": 6.4, "learning_rate": 0.00013600000000000003, "loss": 1.5729, "step": 160 }, { "epoch": 6.44, "learning_rate": 0.00013560000000000002, "loss": 1.5291, "step": 161 }, { "epoch": 6.48, "learning_rate": 0.0001352, "loss": 1.5666, "step": 162 }, { "epoch": 6.52, "learning_rate": 0.00013480000000000002, "loss": 1.7576, "step": 163 }, { "epoch": 6.56, "learning_rate": 0.00013440000000000001, "loss": 1.4462, "step": 164 }, { "epoch": 6.6, "learning_rate": 0.000134, "loss": 1.5659, "step": 165 }, { "epoch": 6.64, "learning_rate": 0.00013360000000000002, "loss": 1.6234, "step": 166 }, { "epoch": 6.68, "learning_rate": 0.0001332, "loss": 1.5176, "step": 167 }, { "epoch": 6.72, "learning_rate": 0.0001328, "loss": 1.667, "step": 168 }, { "epoch": 6.76, "learning_rate": 0.00013240000000000002, "loss": 1.6514, "step": 169 }, { "epoch": 6.8, "learning_rate": 0.000132, "loss": 1.7179, "step": 170 }, { "epoch": 6.84, "learning_rate": 0.0001316, "loss": 1.4373, "step": 171 }, { "epoch": 6.88, "learning_rate": 0.00013120000000000002, "loss": 1.7044, "step": 172 }, { "epoch": 6.92, "learning_rate": 0.0001308, "loss": 1.5673, "step": 173 }, { "epoch": 6.96, "learning_rate": 0.0001304, "loss": 1.6303, "step": 174 }, { "epoch": 7.0, "learning_rate": 0.00013000000000000002, "loss": 1.4828, "step": 175 }, { "epoch": 7.04, "learning_rate": 0.0001296, "loss": 1.6204, "step": 176 }, { "epoch": 7.08, "learning_rate": 0.00012920000000000002, "loss": 1.4955, "step": 177 }, { "epoch": 7.12, "learning_rate": 0.00012880000000000001, "loss": 1.6109, "step": 178 }, { "epoch": 7.16, "learning_rate": 0.0001284, "loss": 1.5318, "step": 179 }, { "epoch": 7.2, "learning_rate": 0.00012800000000000002, "loss": 1.5702, "step": 180 }, { "epoch": 7.24, "learning_rate": 0.0001276, "loss": 1.4598, "step": 181 }, { "epoch": 7.28, "learning_rate": 0.0001272, "loss": 1.6145, "step": 182 }, { "epoch": 7.32, "learning_rate": 0.00012680000000000002, "loss": 1.3628, "step": 183 }, { "epoch": 7.36, "learning_rate": 0.0001264, "loss": 1.4578, "step": 184 }, { "epoch": 7.4, "learning_rate": 0.000126, "loss": 1.7094, "step": 185 }, { "epoch": 7.44, "learning_rate": 0.00012560000000000002, "loss": 1.4376, "step": 186 }, { "epoch": 7.48, "learning_rate": 0.0001252, "loss": 1.3393, "step": 187 }, { "epoch": 7.52, "learning_rate": 0.0001248, "loss": 1.4273, "step": 188 }, { "epoch": 7.56, "learning_rate": 0.00012440000000000002, "loss": 1.5506, "step": 189 }, { "epoch": 7.6, "learning_rate": 0.000124, "loss": 1.4774, "step": 190 }, { "epoch": 7.64, "learning_rate": 0.0001236, "loss": 1.4632, "step": 191 }, { "epoch": 7.68, "learning_rate": 0.0001232, "loss": 1.4568, "step": 192 }, { "epoch": 7.72, "learning_rate": 0.0001228, "loss": 1.6106, "step": 193 }, { "epoch": 7.76, "learning_rate": 0.0001224, "loss": 1.577, "step": 194 }, { "epoch": 7.8, "learning_rate": 0.000122, "loss": 1.4805, "step": 195 }, { "epoch": 7.84, "learning_rate": 0.0001216, "loss": 1.4546, "step": 196 }, { "epoch": 7.88, "learning_rate": 0.0001212, "loss": 1.5164, "step": 197 }, { "epoch": 7.92, "learning_rate": 0.0001208, "loss": 1.5061, "step": 198 }, { "epoch": 7.96, "learning_rate": 0.0001204, "loss": 1.5312, "step": 199 }, { "epoch": 8.0, "learning_rate": 0.00012, "loss": 1.4463, "step": 200 }, { "epoch": 8.04, "learning_rate": 0.00011960000000000001, "loss": 1.4207, "step": 201 }, { "epoch": 8.08, "learning_rate": 0.0001192, "loss": 1.4688, "step": 202 }, { "epoch": 8.12, "learning_rate": 0.0001188, "loss": 1.4445, "step": 203 }, { "epoch": 8.16, "learning_rate": 0.0001184, "loss": 1.4158, "step": 204 }, { "epoch": 8.2, "learning_rate": 0.000118, "loss": 1.3483, "step": 205 }, { "epoch": 8.24, "learning_rate": 0.0001176, "loss": 1.4117, "step": 206 }, { "epoch": 8.28, "learning_rate": 0.0001172, "loss": 1.4267, "step": 207 }, { "epoch": 8.32, "learning_rate": 0.00011679999999999999, "loss": 1.5547, "step": 208 }, { "epoch": 8.36, "learning_rate": 0.0001164, "loss": 1.4883, "step": 209 }, { "epoch": 8.4, "learning_rate": 0.000116, "loss": 1.414, "step": 210 }, { "epoch": 8.44, "learning_rate": 0.00011559999999999999, "loss": 1.3254, "step": 211 }, { "epoch": 8.48, "learning_rate": 0.0001152, "loss": 1.22, "step": 212 }, { "epoch": 8.52, "learning_rate": 0.0001148, "loss": 1.3224, "step": 213 }, { "epoch": 8.56, "learning_rate": 0.0001144, "loss": 1.6158, "step": 214 }, { "epoch": 8.6, "learning_rate": 0.00011399999999999999, "loss": 1.2817, "step": 215 }, { "epoch": 8.64, "learning_rate": 0.0001136, "loss": 1.4077, "step": 216 }, { "epoch": 8.68, "learning_rate": 0.0001132, "loss": 1.5311, "step": 217 }, { "epoch": 8.72, "learning_rate": 0.00011279999999999999, "loss": 1.5289, "step": 218 }, { "epoch": 8.76, "learning_rate": 0.00011240000000000002, "loss": 1.4576, "step": 219 }, { "epoch": 8.8, "learning_rate": 0.00011200000000000001, "loss": 1.2063, "step": 220 }, { "epoch": 8.84, "learning_rate": 0.00011160000000000002, "loss": 1.3543, "step": 221 }, { "epoch": 8.88, "learning_rate": 0.00011120000000000002, "loss": 1.4352, "step": 222 }, { "epoch": 8.92, "learning_rate": 0.00011080000000000001, "loss": 1.3058, "step": 223 }, { "epoch": 8.96, "learning_rate": 0.00011040000000000001, "loss": 1.3475, "step": 224 }, { "epoch": 9.0, "learning_rate": 0.00011000000000000002, "loss": 1.1293, "step": 225 }, { "epoch": 9.04, "learning_rate": 0.00010960000000000001, "loss": 1.1671, "step": 226 }, { "epoch": 9.08, "learning_rate": 0.00010920000000000001, "loss": 1.4726, "step": 227 }, { "epoch": 9.12, "learning_rate": 0.00010880000000000002, "loss": 1.3986, "step": 228 }, { "epoch": 9.16, "learning_rate": 0.00010840000000000002, "loss": 1.2731, "step": 229 }, { "epoch": 9.2, "learning_rate": 0.00010800000000000001, "loss": 1.2212, "step": 230 }, { "epoch": 9.24, "learning_rate": 0.00010760000000000001, "loss": 1.3067, "step": 231 }, { "epoch": 9.28, "learning_rate": 0.00010720000000000002, "loss": 1.278, "step": 232 }, { "epoch": 9.32, "learning_rate": 0.00010680000000000001, "loss": 1.4141, "step": 233 }, { "epoch": 9.36, "learning_rate": 0.00010640000000000001, "loss": 1.2885, "step": 234 }, { "epoch": 9.4, "learning_rate": 0.00010600000000000002, "loss": 1.466, "step": 235 }, { "epoch": 9.44, "learning_rate": 0.0001056, "loss": 1.2979, "step": 236 }, { "epoch": 9.48, "learning_rate": 0.00010520000000000001, "loss": 1.1622, "step": 237 }, { "epoch": 9.52, "learning_rate": 0.00010480000000000001, "loss": 1.2504, "step": 238 }, { "epoch": 9.56, "learning_rate": 0.0001044, "loss": 1.228, "step": 239 }, { "epoch": 9.6, "learning_rate": 0.00010400000000000001, "loss": 1.3607, "step": 240 }, { "epoch": 9.64, "learning_rate": 0.00010360000000000001, "loss": 1.1921, "step": 241 }, { "epoch": 9.68, "learning_rate": 0.0001032, "loss": 1.2114, "step": 242 }, { "epoch": 9.72, "learning_rate": 0.0001028, "loss": 1.2385, "step": 243 }, { "epoch": 9.76, "learning_rate": 0.00010240000000000001, "loss": 1.3227, "step": 244 }, { "epoch": 9.8, "learning_rate": 0.00010200000000000001, "loss": 1.3935, "step": 245 }, { "epoch": 9.84, "learning_rate": 0.0001016, "loss": 1.2209, "step": 246 }, { "epoch": 9.88, "learning_rate": 0.00010120000000000001, "loss": 1.1541, "step": 247 }, { "epoch": 9.92, "learning_rate": 0.00010080000000000001, "loss": 1.4049, "step": 248 }, { "epoch": 9.96, "learning_rate": 0.0001004, "loss": 1.13, "step": 249 }, { "epoch": 10.0, "learning_rate": 0.0001, "loss": 1.3783, "step": 250 }, { "epoch": 10.04, "learning_rate": 9.960000000000001e-05, "loss": 1.3207, "step": 251 }, { "epoch": 10.08, "learning_rate": 9.92e-05, "loss": 1.2697, "step": 252 }, { "epoch": 10.12, "learning_rate": 9.88e-05, "loss": 1.091, "step": 253 }, { "epoch": 10.16, "learning_rate": 9.84e-05, "loss": 1.0463, "step": 254 }, { "epoch": 10.2, "learning_rate": 9.8e-05, "loss": 1.3686, "step": 255 }, { "epoch": 10.24, "learning_rate": 9.76e-05, "loss": 1.3109, "step": 256 }, { "epoch": 10.28, "learning_rate": 9.72e-05, "loss": 1.2338, "step": 257 }, { "epoch": 10.32, "learning_rate": 9.680000000000001e-05, "loss": 1.12, "step": 258 }, { "epoch": 10.36, "learning_rate": 9.64e-05, "loss": 1.1864, "step": 259 }, { "epoch": 10.4, "learning_rate": 9.6e-05, "loss": 1.1062, "step": 260 }, { "epoch": 10.44, "learning_rate": 9.56e-05, "loss": 1.2924, "step": 261 }, { "epoch": 10.48, "learning_rate": 9.52e-05, "loss": 1.1931, "step": 262 }, { "epoch": 10.52, "learning_rate": 9.48e-05, "loss": 1.2366, "step": 263 }, { "epoch": 10.56, "learning_rate": 9.44e-05, "loss": 1.1589, "step": 264 }, { "epoch": 10.6, "learning_rate": 9.4e-05, "loss": 1.1197, "step": 265 }, { "epoch": 10.64, "learning_rate": 9.360000000000001e-05, "loss": 1.3072, "step": 266 }, { "epoch": 10.68, "learning_rate": 9.320000000000002e-05, "loss": 1.1173, "step": 267 }, { "epoch": 10.72, "learning_rate": 9.28e-05, "loss": 1.0378, "step": 268 }, { "epoch": 10.76, "learning_rate": 9.240000000000001e-05, "loss": 1.1746, "step": 269 }, { "epoch": 10.8, "learning_rate": 9.200000000000001e-05, "loss": 1.1144, "step": 270 }, { "epoch": 10.84, "learning_rate": 9.16e-05, "loss": 1.1862, "step": 271 }, { "epoch": 10.88, "learning_rate": 9.120000000000001e-05, "loss": 1.0816, "step": 272 }, { "epoch": 10.92, "learning_rate": 9.080000000000001e-05, "loss": 1.2288, "step": 273 }, { "epoch": 10.96, "learning_rate": 9.04e-05, "loss": 1.3031, "step": 274 }, { "epoch": 11.0, "learning_rate": 9e-05, "loss": 1.1646, "step": 275 }, { "epoch": 11.04, "learning_rate": 8.960000000000001e-05, "loss": 1.2088, "step": 276 }, { "epoch": 11.08, "learning_rate": 8.92e-05, "loss": 1.1465, "step": 277 }, { "epoch": 11.12, "learning_rate": 8.88e-05, "loss": 1.0313, "step": 278 }, { "epoch": 11.16, "learning_rate": 8.840000000000001e-05, "loss": 0.9662, "step": 279 }, { "epoch": 11.2, "learning_rate": 8.800000000000001e-05, "loss": 1.051, "step": 280 }, { "epoch": 11.24, "learning_rate": 8.76e-05, "loss": 1.1708, "step": 281 }, { "epoch": 11.28, "learning_rate": 8.72e-05, "loss": 1.0236, "step": 282 }, { "epoch": 11.32, "learning_rate": 8.680000000000001e-05, "loss": 1.1359, "step": 283 }, { "epoch": 11.36, "learning_rate": 8.64e-05, "loss": 1.1398, "step": 284 }, { "epoch": 11.4, "learning_rate": 8.6e-05, "loss": 1.0213, "step": 285 }, { "epoch": 11.44, "learning_rate": 8.560000000000001e-05, "loss": 1.1788, "step": 286 }, { "epoch": 11.48, "learning_rate": 8.52e-05, "loss": 1.0387, "step": 287 }, { "epoch": 11.52, "learning_rate": 8.48e-05, "loss": 0.9476, "step": 288 }, { "epoch": 11.56, "learning_rate": 8.44e-05, "loss": 1.1954, "step": 289 }, { "epoch": 11.6, "learning_rate": 8.4e-05, "loss": 1.0309, "step": 290 }, { "epoch": 11.64, "learning_rate": 8.36e-05, "loss": 1.1321, "step": 291 }, { "epoch": 11.68, "learning_rate": 8.32e-05, "loss": 1.0914, "step": 292 }, { "epoch": 11.72, "learning_rate": 8.28e-05, "loss": 1.222, "step": 293 }, { "epoch": 11.76, "learning_rate": 8.24e-05, "loss": 1.0127, "step": 294 }, { "epoch": 11.8, "learning_rate": 8.2e-05, "loss": 1.1977, "step": 295 }, { "epoch": 11.84, "learning_rate": 8.16e-05, "loss": 1.122, "step": 296 }, { "epoch": 11.88, "learning_rate": 8.120000000000001e-05, "loss": 1.1543, "step": 297 }, { "epoch": 11.92, "learning_rate": 8.080000000000001e-05, "loss": 1.1767, "step": 298 }, { "epoch": 11.96, "learning_rate": 8.04e-05, "loss": 1.1341, "step": 299 }, { "epoch": 12.0, "learning_rate": 8e-05, "loss": 1.0107, "step": 300 }, { "epoch": 12.04, "learning_rate": 7.960000000000001e-05, "loss": 1.1455, "step": 301 }, { "epoch": 12.08, "learning_rate": 7.920000000000001e-05, "loss": 1.0091, "step": 302 }, { "epoch": 12.12, "learning_rate": 7.88e-05, "loss": 0.9888, "step": 303 }, { "epoch": 12.16, "learning_rate": 7.840000000000001e-05, "loss": 0.9894, "step": 304 }, { "epoch": 12.2, "learning_rate": 7.800000000000001e-05, "loss": 1.0095, "step": 305 }, { "epoch": 12.24, "learning_rate": 7.76e-05, "loss": 1.1163, "step": 306 }, { "epoch": 12.28, "learning_rate": 7.72e-05, "loss": 1.0345, "step": 307 }, { "epoch": 12.32, "learning_rate": 7.680000000000001e-05, "loss": 0.9662, "step": 308 }, { "epoch": 12.36, "learning_rate": 7.64e-05, "loss": 0.9064, "step": 309 }, { "epoch": 12.4, "learning_rate": 7.6e-05, "loss": 0.9448, "step": 310 }, { "epoch": 12.44, "learning_rate": 7.560000000000001e-05, "loss": 0.9509, "step": 311 }, { "epoch": 12.48, "learning_rate": 7.52e-05, "loss": 1.123, "step": 312 }, { "epoch": 12.52, "learning_rate": 7.48e-05, "loss": 1.1011, "step": 313 }, { "epoch": 12.56, "learning_rate": 7.44e-05, "loss": 0.9398, "step": 314 }, { "epoch": 12.6, "learning_rate": 7.4e-05, "loss": 1.0498, "step": 315 }, { "epoch": 12.64, "learning_rate": 7.36e-05, "loss": 1.0442, "step": 316 }, { "epoch": 12.68, "learning_rate": 7.32e-05, "loss": 0.9599, "step": 317 }, { "epoch": 12.72, "learning_rate": 7.280000000000001e-05, "loss": 0.8778, "step": 318 }, { "epoch": 12.76, "learning_rate": 7.24e-05, "loss": 0.8727, "step": 319 }, { "epoch": 12.8, "learning_rate": 7.2e-05, "loss": 1.0189, "step": 320 }, { "epoch": 12.84, "learning_rate": 7.16e-05, "loss": 1.0543, "step": 321 }, { "epoch": 12.88, "learning_rate": 7.12e-05, "loss": 1.1282, "step": 322 }, { "epoch": 12.92, "learning_rate": 7.08e-05, "loss": 1.1018, "step": 323 }, { "epoch": 12.96, "learning_rate": 7.04e-05, "loss": 1.1827, "step": 324 }, { "epoch": 13.0, "learning_rate": 7e-05, "loss": 1.108, "step": 325 }, { "epoch": 13.04, "learning_rate": 6.96e-05, "loss": 0.9618, "step": 326 }, { "epoch": 13.08, "learning_rate": 6.92e-05, "loss": 1.0666, "step": 327 }, { "epoch": 13.12, "learning_rate": 6.879999999999999e-05, "loss": 0.9973, "step": 328 }, { "epoch": 13.16, "learning_rate": 6.840000000000001e-05, "loss": 1.0103, "step": 329 }, { "epoch": 13.2, "learning_rate": 6.800000000000001e-05, "loss": 0.9974, "step": 330 }, { "epoch": 13.24, "learning_rate": 6.76e-05, "loss": 1.2283, "step": 331 }, { "epoch": 13.28, "learning_rate": 6.720000000000001e-05, "loss": 0.7485, "step": 332 }, { "epoch": 13.32, "learning_rate": 6.680000000000001e-05, "loss": 0.8072, "step": 333 }, { "epoch": 13.36, "learning_rate": 6.64e-05, "loss": 1.1106, "step": 334 }, { "epoch": 13.4, "learning_rate": 6.6e-05, "loss": 0.8216, "step": 335 }, { "epoch": 13.44, "learning_rate": 6.560000000000001e-05, "loss": 0.959, "step": 336 }, { "epoch": 13.48, "learning_rate": 6.52e-05, "loss": 1.0767, "step": 337 }, { "epoch": 13.52, "learning_rate": 6.48e-05, "loss": 1.0395, "step": 338 }, { "epoch": 13.56, "learning_rate": 6.440000000000001e-05, "loss": 0.9102, "step": 339 }, { "epoch": 13.6, "learning_rate": 6.400000000000001e-05, "loss": 0.8875, "step": 340 }, { "epoch": 13.64, "learning_rate": 6.36e-05, "loss": 1.0005, "step": 341 }, { "epoch": 13.68, "learning_rate": 6.32e-05, "loss": 0.9208, "step": 342 }, { "epoch": 13.72, "learning_rate": 6.280000000000001e-05, "loss": 0.8943, "step": 343 }, { "epoch": 13.76, "learning_rate": 6.24e-05, "loss": 0.8441, "step": 344 }, { "epoch": 13.8, "learning_rate": 6.2e-05, "loss": 0.9953, "step": 345 }, { "epoch": 13.84, "learning_rate": 6.16e-05, "loss": 0.796, "step": 346 }, { "epoch": 13.88, "learning_rate": 6.12e-05, "loss": 1.0745, "step": 347 }, { "epoch": 13.92, "learning_rate": 6.08e-05, "loss": 0.9898, "step": 348 }, { "epoch": 13.96, "learning_rate": 6.04e-05, "loss": 0.9559, "step": 349 }, { "epoch": 14.0, "learning_rate": 6e-05, "loss": 0.8236, "step": 350 }, { "epoch": 14.04, "learning_rate": 5.96e-05, "loss": 0.7318, "step": 351 }, { "epoch": 14.08, "learning_rate": 5.92e-05, "loss": 0.8994, "step": 352 }, { "epoch": 14.12, "learning_rate": 5.88e-05, "loss": 0.9707, "step": 353 }, { "epoch": 14.16, "learning_rate": 5.8399999999999997e-05, "loss": 0.806, "step": 354 }, { "epoch": 14.2, "learning_rate": 5.8e-05, "loss": 1.0525, "step": 355 }, { "epoch": 14.24, "learning_rate": 5.76e-05, "loss": 0.7589, "step": 356 }, { "epoch": 14.28, "learning_rate": 5.72e-05, "loss": 0.7703, "step": 357 }, { "epoch": 14.32, "learning_rate": 5.68e-05, "loss": 0.9869, "step": 358 }, { "epoch": 14.36, "learning_rate": 5.6399999999999995e-05, "loss": 0.9673, "step": 359 }, { "epoch": 14.4, "learning_rate": 5.6000000000000006e-05, "loss": 0.9913, "step": 360 }, { "epoch": 14.44, "learning_rate": 5.560000000000001e-05, "loss": 1.0219, "step": 361 }, { "epoch": 14.48, "learning_rate": 5.520000000000001e-05, "loss": 0.8672, "step": 362 }, { "epoch": 14.52, "learning_rate": 5.4800000000000004e-05, "loss": 1.0464, "step": 363 }, { "epoch": 14.56, "learning_rate": 5.440000000000001e-05, "loss": 1.0109, "step": 364 }, { "epoch": 14.6, "learning_rate": 5.4000000000000005e-05, "loss": 0.9913, "step": 365 }, { "epoch": 14.64, "learning_rate": 5.360000000000001e-05, "loss": 0.779, "step": 366 }, { "epoch": 14.68, "learning_rate": 5.3200000000000006e-05, "loss": 0.8675, "step": 367 }, { "epoch": 14.72, "learning_rate": 5.28e-05, "loss": 0.987, "step": 368 }, { "epoch": 14.76, "learning_rate": 5.2400000000000007e-05, "loss": 0.741, "step": 369 }, { "epoch": 14.8, "learning_rate": 5.2000000000000004e-05, "loss": 0.9585, "step": 370 }, { "epoch": 14.84, "learning_rate": 5.16e-05, "loss": 0.8977, "step": 371 }, { "epoch": 14.88, "learning_rate": 5.1200000000000004e-05, "loss": 0.7836, "step": 372 }, { "epoch": 14.92, "learning_rate": 5.08e-05, "loss": 0.8461, "step": 373 }, { "epoch": 14.96, "learning_rate": 5.0400000000000005e-05, "loss": 0.7531, "step": 374 }, { "epoch": 15.0, "learning_rate": 5e-05, "loss": 0.8906, "step": 375 }, { "epoch": 15.04, "learning_rate": 4.96e-05, "loss": 0.8793, "step": 376 }, { "epoch": 15.08, "learning_rate": 4.92e-05, "loss": 0.8596, "step": 377 }, { "epoch": 15.12, "learning_rate": 4.88e-05, "loss": 0.7947, "step": 378 }, { "epoch": 15.16, "learning_rate": 4.8400000000000004e-05, "loss": 0.7976, "step": 379 }, { "epoch": 15.2, "learning_rate": 4.8e-05, "loss": 0.9037, "step": 380 }, { "epoch": 15.24, "learning_rate": 4.76e-05, "loss": 0.9863, "step": 381 }, { "epoch": 15.28, "learning_rate": 4.72e-05, "loss": 0.7735, "step": 382 }, { "epoch": 15.32, "learning_rate": 4.6800000000000006e-05, "loss": 0.6723, "step": 383 }, { "epoch": 15.36, "learning_rate": 4.64e-05, "loss": 0.7002, "step": 384 }, { "epoch": 15.4, "learning_rate": 4.600000000000001e-05, "loss": 0.9479, "step": 385 }, { "epoch": 15.44, "learning_rate": 4.5600000000000004e-05, "loss": 0.8159, "step": 386 }, { "epoch": 15.48, "learning_rate": 4.52e-05, "loss": 0.7954, "step": 387 }, { "epoch": 15.52, "learning_rate": 4.4800000000000005e-05, "loss": 0.8016, "step": 388 }, { "epoch": 15.56, "learning_rate": 4.44e-05, "loss": 0.7995, "step": 389 }, { "epoch": 15.6, "learning_rate": 4.4000000000000006e-05, "loss": 0.8243, "step": 390 }, { "epoch": 15.64, "learning_rate": 4.36e-05, "loss": 0.8335, "step": 391 }, { "epoch": 15.68, "learning_rate": 4.32e-05, "loss": 1.001, "step": 392 }, { "epoch": 15.72, "learning_rate": 4.2800000000000004e-05, "loss": 0.9385, "step": 393 }, { "epoch": 15.76, "learning_rate": 4.24e-05, "loss": 0.8796, "step": 394 }, { "epoch": 15.8, "learning_rate": 4.2e-05, "loss": 0.98, "step": 395 }, { "epoch": 15.84, "learning_rate": 4.16e-05, "loss": 0.7547, "step": 396 }, { "epoch": 15.88, "learning_rate": 4.12e-05, "loss": 0.7943, "step": 397 }, { "epoch": 15.92, "learning_rate": 4.08e-05, "loss": 0.8135, "step": 398 }, { "epoch": 15.96, "learning_rate": 4.0400000000000006e-05, "loss": 0.87, "step": 399 }, { "epoch": 16.0, "learning_rate": 4e-05, "loss": 0.8818, "step": 400 }, { "epoch": 16.04, "learning_rate": 3.960000000000001e-05, "loss": 1.0793, "step": 401 }, { "epoch": 16.08, "learning_rate": 3.9200000000000004e-05, "loss": 0.6816, "step": 402 }, { "epoch": 16.12, "learning_rate": 3.88e-05, "loss": 0.8138, "step": 403 }, { "epoch": 16.16, "learning_rate": 3.8400000000000005e-05, "loss": 0.8002, "step": 404 }, { "epoch": 16.2, "learning_rate": 3.8e-05, "loss": 0.7104, "step": 405 }, { "epoch": 16.24, "learning_rate": 3.76e-05, "loss": 0.749, "step": 406 }, { "epoch": 16.28, "learning_rate": 3.72e-05, "loss": 0.9713, "step": 407 }, { "epoch": 16.32, "learning_rate": 3.68e-05, "loss": 0.9039, "step": 408 }, { "epoch": 16.36, "learning_rate": 3.6400000000000004e-05, "loss": 0.7958, "step": 409 }, { "epoch": 16.4, "learning_rate": 3.6e-05, "loss": 0.9242, "step": 410 }, { "epoch": 16.44, "learning_rate": 3.56e-05, "loss": 0.7224, "step": 411 }, { "epoch": 16.48, "learning_rate": 3.52e-05, "loss": 0.8227, "step": 412 }, { "epoch": 16.52, "learning_rate": 3.48e-05, "loss": 0.7336, "step": 413 }, { "epoch": 16.56, "learning_rate": 3.4399999999999996e-05, "loss": 0.801, "step": 414 }, { "epoch": 16.6, "learning_rate": 3.4000000000000007e-05, "loss": 0.7649, "step": 415 }, { "epoch": 16.64, "learning_rate": 3.3600000000000004e-05, "loss": 0.859, "step": 416 }, { "epoch": 16.68, "learning_rate": 3.32e-05, "loss": 0.7702, "step": 417 }, { "epoch": 16.72, "learning_rate": 3.2800000000000004e-05, "loss": 0.7585, "step": 418 }, { "epoch": 16.76, "learning_rate": 3.24e-05, "loss": 0.6829, "step": 419 }, { "epoch": 16.8, "learning_rate": 3.2000000000000005e-05, "loss": 0.8186, "step": 420 }, { "epoch": 16.84, "learning_rate": 3.16e-05, "loss": 0.7649, "step": 421 }, { "epoch": 16.88, "learning_rate": 3.12e-05, "loss": 0.8019, "step": 422 }, { "epoch": 16.92, "learning_rate": 3.08e-05, "loss": 0.82, "step": 423 }, { "epoch": 16.96, "learning_rate": 3.04e-05, "loss": 0.7077, "step": 424 }, { "epoch": 17.0, "learning_rate": 3e-05, "loss": 0.7803, "step": 425 }, { "epoch": 17.04, "learning_rate": 2.96e-05, "loss": 0.8311, "step": 426 }, { "epoch": 17.08, "learning_rate": 2.9199999999999998e-05, "loss": 0.8245, "step": 427 }, { "epoch": 17.12, "learning_rate": 2.88e-05, "loss": 0.6627, "step": 428 }, { "epoch": 17.16, "learning_rate": 2.84e-05, "loss": 0.6721, "step": 429 }, { "epoch": 17.2, "learning_rate": 2.8000000000000003e-05, "loss": 0.9004, "step": 430 }, { "epoch": 17.24, "learning_rate": 2.7600000000000003e-05, "loss": 0.7606, "step": 431 }, { "epoch": 17.28, "learning_rate": 2.7200000000000004e-05, "loss": 0.7235, "step": 432 }, { "epoch": 17.32, "learning_rate": 2.6800000000000004e-05, "loss": 0.797, "step": 433 }, { "epoch": 17.36, "learning_rate": 2.64e-05, "loss": 0.6312, "step": 434 }, { "epoch": 17.4, "learning_rate": 2.6000000000000002e-05, "loss": 0.869, "step": 435 }, { "epoch": 17.44, "learning_rate": 2.5600000000000002e-05, "loss": 0.7968, "step": 436 }, { "epoch": 17.48, "learning_rate": 2.5200000000000003e-05, "loss": 0.6872, "step": 437 }, { "epoch": 17.52, "learning_rate": 2.48e-05, "loss": 0.7272, "step": 438 }, { "epoch": 17.56, "learning_rate": 2.44e-05, "loss": 0.7695, "step": 439 }, { "epoch": 17.6, "learning_rate": 2.4e-05, "loss": 0.6806, "step": 440 }, { "epoch": 17.64, "learning_rate": 2.36e-05, "loss": 0.9562, "step": 441 }, { "epoch": 17.68, "learning_rate": 2.32e-05, "loss": 0.8659, "step": 442 }, { "epoch": 17.72, "learning_rate": 2.2800000000000002e-05, "loss": 0.8259, "step": 443 }, { "epoch": 17.76, "learning_rate": 2.2400000000000002e-05, "loss": 0.7056, "step": 444 }, { "epoch": 17.8, "learning_rate": 2.2000000000000003e-05, "loss": 0.7251, "step": 445 }, { "epoch": 17.84, "learning_rate": 2.16e-05, "loss": 0.8674, "step": 446 }, { "epoch": 17.88, "learning_rate": 2.12e-05, "loss": 0.7127, "step": 447 }, { "epoch": 17.92, "learning_rate": 2.08e-05, "loss": 0.849, "step": 448 }, { "epoch": 17.96, "learning_rate": 2.04e-05, "loss": 0.7506, "step": 449 }, { "epoch": 18.0, "learning_rate": 2e-05, "loss": 0.7262, "step": 450 }, { "epoch": 18.04, "learning_rate": 1.9600000000000002e-05, "loss": 0.8102, "step": 451 }, { "epoch": 18.08, "learning_rate": 1.9200000000000003e-05, "loss": 0.7843, "step": 452 }, { "epoch": 18.12, "learning_rate": 1.88e-05, "loss": 0.6902, "step": 453 }, { "epoch": 18.16, "learning_rate": 1.84e-05, "loss": 0.749, "step": 454 }, { "epoch": 18.2, "learning_rate": 1.8e-05, "loss": 0.722, "step": 455 }, { "epoch": 18.24, "learning_rate": 1.76e-05, "loss": 0.7015, "step": 456 }, { "epoch": 18.28, "learning_rate": 1.7199999999999998e-05, "loss": 0.7451, "step": 457 }, { "epoch": 18.32, "learning_rate": 1.6800000000000002e-05, "loss": 0.8411, "step": 458 }, { "epoch": 18.36, "learning_rate": 1.6400000000000002e-05, "loss": 0.8594, "step": 459 }, { "epoch": 18.4, "learning_rate": 1.6000000000000003e-05, "loss": 0.7394, "step": 460 }, { "epoch": 18.44, "learning_rate": 1.56e-05, "loss": 0.8071, "step": 461 }, { "epoch": 18.48, "learning_rate": 1.52e-05, "loss": 0.5883, "step": 462 }, { "epoch": 18.52, "learning_rate": 1.48e-05, "loss": 0.5356, "step": 463 }, { "epoch": 18.56, "learning_rate": 1.44e-05, "loss": 0.6916, "step": 464 }, { "epoch": 18.6, "learning_rate": 1.4000000000000001e-05, "loss": 0.7899, "step": 465 }, { "epoch": 18.64, "learning_rate": 1.3600000000000002e-05, "loss": 0.7651, "step": 466 }, { "epoch": 18.68, "learning_rate": 1.32e-05, "loss": 0.7883, "step": 467 }, { "epoch": 18.72, "learning_rate": 1.2800000000000001e-05, "loss": 0.8655, "step": 468 }, { "epoch": 18.76, "learning_rate": 1.24e-05, "loss": 0.6875, "step": 469 }, { "epoch": 18.8, "learning_rate": 1.2e-05, "loss": 0.7629, "step": 470 }, { "epoch": 18.84, "learning_rate": 1.16e-05, "loss": 0.5825, "step": 471 }, { "epoch": 18.88, "learning_rate": 1.1200000000000001e-05, "loss": 0.6979, "step": 472 }, { "epoch": 18.92, "learning_rate": 1.08e-05, "loss": 0.8777, "step": 473 }, { "epoch": 18.96, "learning_rate": 1.04e-05, "loss": 0.7298, "step": 474 }, { "epoch": 19.0, "learning_rate": 1e-05, "loss": 0.8324, "step": 475 }, { "epoch": 19.04, "learning_rate": 9.600000000000001e-06, "loss": 0.6186, "step": 476 }, { "epoch": 19.08, "learning_rate": 9.2e-06, "loss": 0.7853, "step": 477 }, { "epoch": 19.12, "learning_rate": 8.8e-06, "loss": 0.5731, "step": 478 }, { "epoch": 19.16, "learning_rate": 8.400000000000001e-06, "loss": 0.7915, "step": 479 }, { "epoch": 19.2, "learning_rate": 8.000000000000001e-06, "loss": 0.83, "step": 480 }, { "epoch": 19.24, "learning_rate": 7.6e-06, "loss": 0.7768, "step": 481 }, { "epoch": 19.28, "learning_rate": 7.2e-06, "loss": 0.6634, "step": 482 }, { "epoch": 19.32, "learning_rate": 6.800000000000001e-06, "loss": 0.657, "step": 483 }, { "epoch": 19.36, "learning_rate": 6.4000000000000006e-06, "loss": 0.8127, "step": 484 }, { "epoch": 19.4, "learning_rate": 6e-06, "loss": 0.7326, "step": 485 }, { "epoch": 19.44, "learning_rate": 5.600000000000001e-06, "loss": 0.6168, "step": 486 }, { "epoch": 19.48, "learning_rate": 5.2e-06, "loss": 0.7808, "step": 487 }, { "epoch": 19.52, "learning_rate": 4.800000000000001e-06, "loss": 0.7509, "step": 488 }, { "epoch": 19.56, "learning_rate": 4.4e-06, "loss": 0.7304, "step": 489 }, { "epoch": 19.6, "learning_rate": 4.000000000000001e-06, "loss": 0.77, "step": 490 }, { "epoch": 19.64, "learning_rate": 3.6e-06, "loss": 0.6577, "step": 491 }, { "epoch": 19.68, "learning_rate": 3.2000000000000003e-06, "loss": 0.6797, "step": 492 }, { "epoch": 19.72, "learning_rate": 2.8000000000000003e-06, "loss": 0.807, "step": 493 }, { "epoch": 19.76, "learning_rate": 2.4000000000000003e-06, "loss": 0.7484, "step": 494 }, { "epoch": 19.8, "learning_rate": 2.0000000000000003e-06, "loss": 0.7582, "step": 495 }, { "epoch": 19.84, "learning_rate": 1.6000000000000001e-06, "loss": 0.7102, "step": 496 }, { "epoch": 19.88, "learning_rate": 1.2000000000000002e-06, "loss": 0.7078, "step": 497 }, { "epoch": 19.92, "learning_rate": 8.000000000000001e-07, "loss": 0.7877, "step": 498 }, { "epoch": 19.96, "learning_rate": 4.0000000000000003e-07, "loss": 0.8055, "step": 499 }, { "epoch": 20.0, "learning_rate": 0.0, "loss": 0.6905, "step": 500 } ], "logging_steps": 1, "max_steps": 500, "num_train_epochs": 20, "save_steps": 100, "total_flos": 1.701892530444288e+17, "trial_name": null, "trial_params": null }