diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,12652 @@ +{ + "best_metric": 0.95, + "best_model_checkpoint": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6real-num_frame_10_myViT2_more_data/checkpoint-750", + "epoch": 5.166666666666667, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "accuracy": 0.0, + "epoch": 0, + "step": 0 + }, + { + "accuracy": 0.0, + "epoch": 0.0, + "step": 1 + }, + { + "accuracy": 0.0, + "epoch": 0.0, + "step": 2 + }, + { + "accuracy": 0.0, + "epoch": 0.0, + "step": 3 + }, + { + "accuracy": 1.0, + "epoch": 0.0, + "step": 4 + }, + { + "accuracy": 1.0, + "epoch": 0.0, + "step": 5 + }, + { + "accuracy": 0.0, + "epoch": 0.0, + "step": 6 + }, + { + "accuracy": 0.0, + "epoch": 0.0, + "step": 7 + }, + { + "accuracy": 1.0, + "epoch": 0.01, + "step": 8 + }, + { + "accuracy": 1.0, + "epoch": 0.01, + "step": 9 + }, + { + "epoch": 0.01, + "grad_norm": 27.48541259765625, + "learning_rate": 2.666666666666667e-06, + "loss": 1.4397, + "step": 10 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 10 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 11 + }, + { + "accuracy": 1.0, + "epoch": 0.01, + "step": 12 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 13 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 14 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 15 + }, + { + "accuracy": 1.0, + "epoch": 0.01, + "step": 16 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 17 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 18 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 19 + }, + { + "epoch": 0.01, + "grad_norm": 29.550081253051758, + "learning_rate": 5.333333333333334e-06, + "loss": 1.7011, + "step": 20 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 20 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 21 + }, + { + "accuracy": 0.0, + "epoch": 0.01, + "step": 22 + }, + { + "accuracy": 1.0, + "epoch": 0.02, + "step": 23 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 24 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 25 + }, + { + "accuracy": 1.0, + "epoch": 0.02, + "step": 26 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 27 + }, + { + "accuracy": 1.0, + "epoch": 0.02, + "step": 28 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 29 + }, + { + "epoch": 0.02, + "grad_norm": 30.159160614013672, + "learning_rate": 8.000000000000001e-06, + "loss": 1.6597, + "step": 30 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 30 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 31 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 32 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 33 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 34 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 35 + }, + { + "accuracy": 1.0, + "epoch": 0.02, + "step": 36 + }, + { + "accuracy": 0.0, + "epoch": 0.02, + "step": 37 + }, + { + "accuracy": 0.0, + "epoch": 0.03, + "step": 38 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 39 + }, + { + "epoch": 0.03, + "grad_norm": 30.40444564819336, + "learning_rate": 1.0666666666666667e-05, + "loss": 1.4862, + "step": 40 + }, + { + "accuracy": 0.0, + "epoch": 0.03, + "step": 40 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 41 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 42 + }, + { + "accuracy": 0.0, + "epoch": 0.03, + "step": 43 + }, + { + "accuracy": 0.0, + "epoch": 0.03, + "step": 44 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 45 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 46 + }, + { + "accuracy": 0.0, + "epoch": 0.03, + "step": 47 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 48 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 49 + }, + { + "epoch": 0.03, + "grad_norm": 24.201858520507812, + "learning_rate": 1.3333333333333333e-05, + "loss": 1.2066, + "step": 50 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 50 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 51 + }, + { + "accuracy": 1.0, + "epoch": 0.03, + "step": 52 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 53 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 54 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 55 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 56 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 57 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 58 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 59 + }, + { + "epoch": 0.04, + "grad_norm": 35.361610412597656, + "learning_rate": 1.6000000000000003e-05, + "loss": 1.3168, + "step": 60 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 60 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 61 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 62 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 63 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 64 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 65 + }, + { + "accuracy": 0.0, + "epoch": 0.04, + "step": 66 + }, + { + "accuracy": 1.0, + "epoch": 0.04, + "step": 67 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 68 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 69 + }, + { + "epoch": 0.05, + "grad_norm": 17.602001190185547, + "learning_rate": 1.866666666666667e-05, + "loss": 0.9897, + "step": 70 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 70 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 71 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 72 + }, + { + "accuracy": 0.0, + "epoch": 0.05, + "step": 73 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 74 + }, + { + "accuracy": 0.0, + "epoch": 0.05, + "step": 75 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 76 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 77 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 78 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 79 + }, + { + "epoch": 0.05, + "grad_norm": 18.5585880279541, + "learning_rate": 2.1333333333333335e-05, + "loss": 0.724, + "step": 80 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 80 + }, + { + "accuracy": 0.0, + "epoch": 0.05, + "step": 81 + }, + { + "accuracy": 1.0, + "epoch": 0.05, + "step": 82 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 83 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 84 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 85 + }, + { + "accuracy": 0.0, + "epoch": 0.06, + "step": 86 + }, + { + "accuracy": 0.0, + "epoch": 0.06, + "step": 87 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 88 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 89 + }, + { + "epoch": 0.06, + "grad_norm": 7.358654022216797, + "learning_rate": 2.4e-05, + "loss": 0.9884, + "step": 90 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 90 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 91 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 92 + }, + { + "accuracy": 0.0, + "epoch": 0.06, + "step": 93 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 94 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 95 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 96 + }, + { + "accuracy": 1.0, + "epoch": 0.06, + "step": 97 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 98 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 99 + }, + { + "epoch": 0.07, + "grad_norm": 6.941775321960449, + "learning_rate": 2.6666666666666667e-05, + "loss": 0.4211, + "step": 100 + }, + { + "accuracy": 0.0, + "epoch": 0.07, + "step": 100 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 101 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 102 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 103 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 104 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 105 + }, + { + "accuracy": 0.0, + "epoch": 0.07, + "step": 106 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 107 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 108 + }, + { + "accuracy": 0.0, + "epoch": 0.07, + "step": 109 + }, + { + "epoch": 0.07, + "grad_norm": 40.621578216552734, + "learning_rate": 2.9333333333333333e-05, + "loss": 0.8335, + "step": 110 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 110 + }, + { + "accuracy": 0.0, + "epoch": 0.07, + "step": 111 + }, + { + "accuracy": 1.0, + "epoch": 0.07, + "step": 112 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 113 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 114 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 115 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 116 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 117 + }, + { + "accuracy": 0.0, + "epoch": 0.08, + "step": 118 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 119 + }, + { + "epoch": 0.08, + "grad_norm": 32.61237335205078, + "learning_rate": 3.2000000000000005e-05, + "loss": 0.7528, + "step": 120 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 120 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 121 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 122 + }, + { + "accuracy": 0.0, + "epoch": 0.08, + "step": 123 + }, + { + "accuracy": 0.0, + "epoch": 0.08, + "step": 124 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 125 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 126 + }, + { + "accuracy": 1.0, + "epoch": 0.08, + "step": 127 + }, + { + "accuracy": 0.0, + "epoch": 0.09, + "step": 128 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 129 + }, + { + "epoch": 0.09, + "grad_norm": 3.2939963340759277, + "learning_rate": 3.466666666666667e-05, + "loss": 0.6304, + "step": 130 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 130 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 131 + }, + { + "accuracy": 0.0, + "epoch": 0.09, + "step": 132 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 133 + }, + { + "accuracy": 0.0, + "epoch": 0.09, + "step": 134 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 135 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 136 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 137 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 138 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 139 + }, + { + "epoch": 0.09, + "grad_norm": 15.463095664978027, + "learning_rate": 3.733333333333334e-05, + "loss": 0.3755, + "step": 140 + }, + { + "accuracy": 0.0, + "epoch": 0.09, + "step": 140 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 141 + }, + { + "accuracy": 1.0, + "epoch": 0.09, + "step": 142 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 143 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 144 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 145 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 146 + }, + { + "accuracy": 0.0, + "epoch": 0.1, + "step": 147 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 148 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 149 + }, + { + "epoch": 0.1, + "grad_norm": 26.474327087402344, + "learning_rate": 4e-05, + "loss": 0.6569, + "step": 150 + }, + { + "accuracy": 0.0, + "epoch": 0.1, + "step": 150 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 151 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 152 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 153 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 154 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 155 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 156 + }, + { + "accuracy": 1.0, + "epoch": 0.1, + "step": 157 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 158 + }, + { + "accuracy": 0.0, + "epoch": 0.11, + "step": 159 + }, + { + "epoch": 0.11, + "grad_norm": 59.37823486328125, + "learning_rate": 3.970370370370371e-05, + "loss": 0.7029, + "step": 160 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 160 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 161 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 162 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 163 + }, + { + "accuracy": 0.0, + "epoch": 0.11, + "step": 164 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 165 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 166 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 167 + }, + { + "accuracy": 0.0, + "epoch": 0.11, + "step": 168 + }, + { + "accuracy": 0.0, + "epoch": 0.11, + "step": 169 + }, + { + "epoch": 0.11, + "grad_norm": 47.64479064941406, + "learning_rate": 3.940740740740741e-05, + "loss": 0.9479, + "step": 170 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 170 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 171 + }, + { + "accuracy": 1.0, + "epoch": 0.11, + "step": 172 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 173 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 174 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 175 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 176 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 177 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 178 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 179 + }, + { + "epoch": 0.12, + "grad_norm": 6.282685279846191, + "learning_rate": 3.9111111111111115e-05, + "loss": 0.0138, + "step": 180 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 180 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 181 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 182 + }, + { + "accuracy": 0.0, + "epoch": 0.12, + "step": 183 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 184 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 185 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 186 + }, + { + "accuracy": 1.0, + "epoch": 0.12, + "step": 187 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 188 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 189 + }, + { + "epoch": 0.13, + "grad_norm": 0.2229953110218048, + "learning_rate": 3.8814814814814814e-05, + "loss": 0.1847, + "step": 190 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 190 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 191 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 192 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 193 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 194 + }, + { + "accuracy": 0.0, + "epoch": 0.13, + "step": 195 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 196 + }, + { + "accuracy": 0.0, + "epoch": 0.13, + "step": 197 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 198 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 199 + }, + { + "epoch": 0.13, + "grad_norm": 0.057327281683683395, + "learning_rate": 3.851851851851852e-05, + "loss": 0.5499, + "step": 200 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 200 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 201 + }, + { + "accuracy": 1.0, + "epoch": 0.13, + "step": 202 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 203 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 204 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 205 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 206 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 207 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 208 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 209 + }, + { + "epoch": 0.14, + "grad_norm": 0.054187316447496414, + "learning_rate": 3.8222222222222226e-05, + "loss": 0.0226, + "step": 210 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 210 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 211 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 212 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 213 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 214 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 215 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 216 + }, + { + "accuracy": 1.0, + "epoch": 0.14, + "step": 217 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 218 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 219 + }, + { + "epoch": 0.15, + "grad_norm": 4.8997392654418945, + "learning_rate": 3.792592592592593e-05, + "loss": 0.1139, + "step": 220 + }, + { + "accuracy": 0.0, + "epoch": 0.15, + "step": 220 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 221 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 222 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 223 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 224 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 225 + }, + { + "accuracy": 0.0, + "epoch": 0.15, + "step": 226 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 227 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 228 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 229 + }, + { + "epoch": 0.15, + "grad_norm": 24.185007095336914, + "learning_rate": 3.762962962962963e-05, + "loss": 0.8915, + "step": 230 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 230 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 231 + }, + { + "accuracy": 1.0, + "epoch": 0.15, + "step": 232 + }, + { + "accuracy": 0.0, + "epoch": 0.16, + "step": 233 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 234 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 235 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 236 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 237 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 238 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 239 + }, + { + "epoch": 0.16, + "grad_norm": 3.667302370071411, + "learning_rate": 3.733333333333334e-05, + "loss": 0.5073, + "step": 240 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 240 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 241 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 242 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 243 + }, + { + "accuracy": 0.0, + "epoch": 0.16, + "step": 244 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 245 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 246 + }, + { + "accuracy": 1.0, + "epoch": 0.16, + "step": 247 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 248 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 249 + }, + { + "epoch": 0.17, + "grad_norm": 2.050393581390381, + "learning_rate": 3.703703703703704e-05, + "loss": 0.4861, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 0.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "epoch": 0.17, + "eval_accuracy": 0.9, + "eval_loss": 0.3385741412639618, + "eval_runtime": 122.8863, + "eval_samples_per_second": 0.814, + "eval_steps_per_second": 0.814, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 0.17, + "step": 250 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 251 + }, + { + "accuracy": 0.0, + "epoch": 1.0, + "step": 252 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 253 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 254 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 255 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 256 + }, + { + "accuracy": 1.0, + "epoch": 1.0, + "step": 257 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 258 + }, + { + "accuracy": 0.0, + "epoch": 1.01, + "step": 259 + }, + { + "epoch": 1.01, + "grad_norm": 59.7421875, + "learning_rate": 3.674074074074074e-05, + "loss": 1.0274, + "step": 260 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 260 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 261 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 262 + }, + { + "accuracy": 0.0, + "epoch": 1.01, + "step": 263 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 264 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 265 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 266 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 267 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 268 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 269 + }, + { + "epoch": 1.01, + "grad_norm": 0.36427316069602966, + "learning_rate": 3.644444444444445e-05, + "loss": 0.5578, + "step": 270 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 270 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 271 + }, + { + "accuracy": 1.0, + "epoch": 1.01, + "step": 272 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 273 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 274 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 275 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 276 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 277 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 278 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 279 + }, + { + "epoch": 1.02, + "grad_norm": 0.14365604519844055, + "learning_rate": 3.614814814814815e-05, + "loss": 0.0018, + "step": 280 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 280 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 281 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 282 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 283 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 284 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 285 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 286 + }, + { + "accuracy": 1.0, + "epoch": 1.02, + "step": 287 + }, + { + "accuracy": 0.0, + "epoch": 1.03, + "step": 288 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 289 + }, + { + "epoch": 1.03, + "grad_norm": 0.021687423810362816, + "learning_rate": 3.5851851851851854e-05, + "loss": 0.0945, + "step": 290 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 290 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 291 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 292 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 293 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 294 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 295 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 296 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 297 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 298 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 299 + }, + { + "epoch": 1.03, + "grad_norm": 0.15070036053657532, + "learning_rate": 3.555555555555555e-05, + "loss": 0.0024, + "step": 300 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 300 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 301 + }, + { + "accuracy": 1.0, + "epoch": 1.03, + "step": 302 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 303 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 304 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 305 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 306 + }, + { + "accuracy": 0.0, + "epoch": 1.04, + "step": 307 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 308 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 309 + }, + { + "epoch": 1.04, + "grad_norm": 0.14499500393867493, + "learning_rate": 3.5259259259259266e-05, + "loss": 0.104, + "step": 310 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 310 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 311 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 312 + }, + { + "accuracy": 0.0, + "epoch": 1.04, + "step": 313 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 314 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 315 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 316 + }, + { + "accuracy": 1.0, + "epoch": 1.04, + "step": 317 + }, + { + "accuracy": 0.0, + "epoch": 1.05, + "step": 318 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 319 + }, + { + "epoch": 1.05, + "grad_norm": 0.022930795326828957, + "learning_rate": 3.4962962962962965e-05, + "loss": 0.9185, + "step": 320 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 320 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 321 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 322 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 323 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 324 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 325 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 326 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 327 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 328 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 329 + }, + { + "epoch": 1.05, + "grad_norm": 1.4176673889160156, + "learning_rate": 3.466666666666667e-05, + "loss": 0.0069, + "step": 330 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 330 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 331 + }, + { + "accuracy": 1.0, + "epoch": 1.05, + "step": 332 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 333 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 334 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 335 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 336 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 337 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 338 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 339 + }, + { + "epoch": 1.06, + "grad_norm": 0.017544511705636978, + "learning_rate": 3.437037037037037e-05, + "loss": 0.0845, + "step": 340 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 340 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 341 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 342 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 343 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 344 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 345 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 346 + }, + { + "accuracy": 1.0, + "epoch": 1.06, + "step": 347 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 348 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 349 + }, + { + "epoch": 1.07, + "grad_norm": 1.04922616481781, + "learning_rate": 3.4074074074074077e-05, + "loss": 0.0402, + "step": 350 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 350 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 351 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 352 + }, + { + "accuracy": 0.0, + "epoch": 1.07, + "step": 353 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 354 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 355 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 356 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 357 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 358 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 359 + }, + { + "epoch": 1.07, + "grad_norm": 0.008364695124328136, + "learning_rate": 3.377777777777778e-05, + "loss": 0.4109, + "step": 360 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 360 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 361 + }, + { + "accuracy": 1.0, + "epoch": 1.07, + "step": 362 + }, + { + "accuracy": 0.0, + "epoch": 1.08, + "step": 363 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 364 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 365 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 366 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 367 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 368 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 369 + }, + { + "epoch": 1.08, + "grad_norm": 0.010020878165960312, + "learning_rate": 3.348148148148148e-05, + "loss": 0.295, + "step": 370 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 370 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 371 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 372 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 373 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 374 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 375 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 376 + }, + { + "accuracy": 1.0, + "epoch": 1.08, + "step": 377 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 378 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 379 + }, + { + "epoch": 1.09, + "grad_norm": 0.015522874891757965, + "learning_rate": 3.318518518518519e-05, + "loss": 0.0262, + "step": 380 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 380 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 381 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 382 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 383 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 384 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 385 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 386 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 387 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 388 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 389 + }, + { + "epoch": 1.09, + "grad_norm": 0.005305934697389603, + "learning_rate": 3.288888888888889e-05, + "loss": 0.0014, + "step": 390 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 390 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 391 + }, + { + "accuracy": 1.0, + "epoch": 1.09, + "step": 392 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 393 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 394 + }, + { + "accuracy": 0.0, + "epoch": 1.1, + "step": 395 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 396 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 397 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 398 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 399 + }, + { + "epoch": 1.1, + "grad_norm": 0.009330866858363152, + "learning_rate": 3.259259259259259e-05, + "loss": 0.6288, + "step": 400 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 400 + }, + { + "accuracy": 0.0, + "epoch": 1.1, + "step": 401 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 402 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 403 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 404 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 405 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 406 + }, + { + "accuracy": 1.0, + "epoch": 1.1, + "step": 407 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 408 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 409 + }, + { + "epoch": 1.11, + "grad_norm": 0.7033286094665527, + "learning_rate": 3.22962962962963e-05, + "loss": 0.976, + "step": 410 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 410 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 411 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 412 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 413 + }, + { + "accuracy": 0.0, + "epoch": 1.11, + "step": 414 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 415 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 416 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 417 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 418 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 419 + }, + { + "epoch": 1.11, + "grad_norm": 0.7694259285926819, + "learning_rate": 3.2000000000000005e-05, + "loss": 0.1421, + "step": 420 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 420 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 421 + }, + { + "accuracy": 1.0, + "epoch": 1.11, + "step": 422 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 423 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 424 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 425 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 426 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 427 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 428 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 429 + }, + { + "epoch": 1.12, + "grad_norm": 0.005554061848670244, + "learning_rate": 3.1703703703703705e-05, + "loss": 0.0059, + "step": 430 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 430 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 431 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 432 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 433 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 434 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 435 + }, + { + "accuracy": 0.0, + "epoch": 1.12, + "step": 436 + }, + { + "accuracy": 1.0, + "epoch": 1.12, + "step": 437 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 438 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 439 + }, + { + "epoch": 1.13, + "grad_norm": 0.03329182416200638, + "learning_rate": 3.140740740740741e-05, + "loss": 0.321, + "step": 440 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 440 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 441 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 442 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 443 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 444 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 445 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 446 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 447 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 448 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 449 + }, + { + "epoch": 1.13, + "grad_norm": 0.13921838998794556, + "learning_rate": 3.111111111111112e-05, + "loss": 0.0028, + "step": 450 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 450 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 451 + }, + { + "accuracy": 1.0, + "epoch": 1.13, + "step": 452 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 453 + }, + { + "accuracy": 0.0, + "epoch": 1.14, + "step": 454 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 455 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 456 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 457 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 458 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 459 + }, + { + "epoch": 1.14, + "grad_norm": 0.4193977415561676, + "learning_rate": 3.0814814814814816e-05, + "loss": 0.2971, + "step": 460 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 460 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 461 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 462 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 463 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 464 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 465 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 466 + }, + { + "accuracy": 1.0, + "epoch": 1.14, + "step": 467 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 468 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 469 + }, + { + "epoch": 1.15, + "grad_norm": 0.012862984091043472, + "learning_rate": 3.051851851851852e-05, + "loss": 0.0012, + "step": 470 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 470 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 471 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 472 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 473 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 474 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 475 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 476 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 477 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 478 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 479 + }, + { + "epoch": 1.15, + "grad_norm": 0.11006419360637665, + "learning_rate": 3.0222222222222225e-05, + "loss": 0.0062, + "step": 480 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 480 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 481 + }, + { + "accuracy": 1.0, + "epoch": 1.15, + "step": 482 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 483 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 484 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 485 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 486 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 487 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 488 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 489 + }, + { + "epoch": 1.16, + "grad_norm": 0.2075457125902176, + "learning_rate": 2.9925925925925927e-05, + "loss": 0.0013, + "step": 490 + }, + { + "accuracy": 0.0, + "epoch": 1.16, + "step": 490 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 491 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 492 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 493 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 494 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 495 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 496 + }, + { + "accuracy": 1.0, + "epoch": 1.16, + "step": 497 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 498 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 499 + }, + { + "epoch": 1.17, + "grad_norm": 0.008261927403509617, + "learning_rate": 2.962962962962963e-05, + "loss": 0.7118, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 0.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "epoch": 1.17, + "eval_accuracy": 0.9, + "eval_loss": 0.5019777417182922, + "eval_runtime": 120.2375, + "eval_samples_per_second": 0.832, + "eval_steps_per_second": 0.832, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 1.17, + "step": 500 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 501 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 502 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 503 + }, + { + "accuracy": 0.0, + "epoch": 2.0, + "step": 504 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 505 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 506 + }, + { + "accuracy": 1.0, + "epoch": 2.0, + "step": 507 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 508 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 509 + }, + { + "epoch": 2.01, + "grad_norm": 0.053543075919151306, + "learning_rate": 2.9333333333333333e-05, + "loss": 0.3723, + "step": 510 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 510 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 511 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 512 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 513 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 514 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 515 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 516 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 517 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 518 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 519 + }, + { + "epoch": 2.01, + "grad_norm": 0.008527850732207298, + "learning_rate": 2.9037037037037042e-05, + "loss": 0.0013, + "step": 520 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 520 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 521 + }, + { + "accuracy": 1.0, + "epoch": 2.01, + "step": 522 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 523 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 524 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 525 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 526 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 527 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 528 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 529 + }, + { + "epoch": 2.02, + "grad_norm": 0.030531510710716248, + "learning_rate": 2.8740740740740745e-05, + "loss": 0.0139, + "step": 530 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 530 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 531 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 532 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 533 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 534 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 535 + }, + { + "accuracy": 0.0, + "epoch": 2.02, + "step": 536 + }, + { + "accuracy": 1.0, + "epoch": 2.02, + "step": 537 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 538 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 539 + }, + { + "epoch": 2.03, + "grad_norm": 0.009555542841553688, + "learning_rate": 2.8444444444444447e-05, + "loss": 0.1067, + "step": 540 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 540 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 541 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 542 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 543 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 544 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 545 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 546 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 547 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 548 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 549 + }, + { + "epoch": 2.03, + "grad_norm": 0.010882402770221233, + "learning_rate": 2.814814814814815e-05, + "loss": 0.0267, + "step": 550 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 550 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 551 + }, + { + "accuracy": 1.0, + "epoch": 2.03, + "step": 552 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 553 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 554 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 555 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 556 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 557 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 558 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 559 + }, + { + "epoch": 2.04, + "grad_norm": 0.01478774193674326, + "learning_rate": 2.7851851851851856e-05, + "loss": 0.0579, + "step": 560 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 560 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 561 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 562 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 563 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 564 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 565 + }, + { + "accuracy": 0.0, + "epoch": 2.04, + "step": 566 + }, + { + "accuracy": 1.0, + "epoch": 2.04, + "step": 567 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 568 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 569 + }, + { + "epoch": 2.05, + "grad_norm": 0.0239090658724308, + "learning_rate": 2.755555555555556e-05, + "loss": 0.0922, + "step": 570 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 570 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 571 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 572 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 573 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 574 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 575 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 576 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 577 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 578 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 579 + }, + { + "epoch": 2.05, + "grad_norm": 0.008603918366134167, + "learning_rate": 2.725925925925926e-05, + "loss": 0.0013, + "step": 580 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 580 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 581 + }, + { + "accuracy": 1.0, + "epoch": 2.05, + "step": 582 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 583 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 584 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 585 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 586 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 587 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 588 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 589 + }, + { + "epoch": 2.06, + "grad_norm": 0.009832022711634636, + "learning_rate": 2.6962962962962964e-05, + "loss": 0.001, + "step": 590 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 590 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 591 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 592 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 593 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 594 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 595 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 596 + }, + { + "accuracy": 1.0, + "epoch": 2.06, + "step": 597 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 598 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 599 + }, + { + "epoch": 2.07, + "grad_norm": 0.013950807973742485, + "learning_rate": 2.6666666666666667e-05, + "loss": 0.0007, + "step": 600 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 600 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 601 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 602 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 603 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 604 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 605 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 606 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 607 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 608 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 609 + }, + { + "epoch": 2.07, + "grad_norm": 0.0075510661117732525, + "learning_rate": 2.637037037037037e-05, + "loss": 0.0029, + "step": 610 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 610 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 611 + }, + { + "accuracy": 1.0, + "epoch": 2.07, + "step": 612 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 613 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 614 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 615 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 616 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 617 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 618 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 619 + }, + { + "epoch": 2.08, + "grad_norm": 0.015888426452875137, + "learning_rate": 2.607407407407408e-05, + "loss": 0.0002, + "step": 620 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 620 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 621 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 622 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 623 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 624 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 625 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 626 + }, + { + "accuracy": 1.0, + "epoch": 2.08, + "step": 627 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 628 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 629 + }, + { + "epoch": 2.09, + "grad_norm": 0.006054020952433348, + "learning_rate": 2.577777777777778e-05, + "loss": 0.0129, + "step": 630 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 630 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 631 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 632 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 633 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 634 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 635 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 636 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 637 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 638 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 639 + }, + { + "epoch": 2.09, + "grad_norm": 0.004561170935630798, + "learning_rate": 2.5481481481481484e-05, + "loss": 0.0187, + "step": 640 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 640 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 641 + }, + { + "accuracy": 1.0, + "epoch": 2.09, + "step": 642 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 643 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 644 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 645 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 646 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 647 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 648 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 649 + }, + { + "epoch": 2.1, + "grad_norm": 0.004491969011723995, + "learning_rate": 2.5185185185185187e-05, + "loss": 0.0006, + "step": 650 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 650 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 651 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 652 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 653 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 654 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 655 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 656 + }, + { + "accuracy": 1.0, + "epoch": 2.1, + "step": 657 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 658 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 659 + }, + { + "epoch": 2.11, + "grad_norm": 0.00564774964004755, + "learning_rate": 2.4888888888888893e-05, + "loss": 0.008, + "step": 660 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 660 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 661 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 662 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 663 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 664 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 665 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 666 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 667 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 668 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 669 + }, + { + "epoch": 2.11, + "grad_norm": 0.002186964266002178, + "learning_rate": 2.4592592592592595e-05, + "loss": 0.0262, + "step": 670 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 670 + }, + { + "accuracy": 0.0, + "epoch": 2.11, + "step": 671 + }, + { + "accuracy": 1.0, + "epoch": 2.11, + "step": 672 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 673 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 674 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 675 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 676 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 677 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 678 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 679 + }, + { + "epoch": 2.12, + "grad_norm": 0.005805268418043852, + "learning_rate": 2.4296296296296298e-05, + "loss": 0.1838, + "step": 680 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 680 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 681 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 682 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 683 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 684 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 685 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 686 + }, + { + "accuracy": 1.0, + "epoch": 2.12, + "step": 687 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 688 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 689 + }, + { + "epoch": 2.13, + "grad_norm": 0.0018611220875754952, + "learning_rate": 2.4e-05, + "loss": 0.0007, + "step": 690 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 690 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 691 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 692 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 693 + }, + { + "accuracy": 0.0, + "epoch": 2.13, + "step": 694 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 695 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 696 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 697 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 698 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 699 + }, + { + "epoch": 2.13, + "grad_norm": 0.0077749197371304035, + "learning_rate": 2.3703703703703703e-05, + "loss": 0.1827, + "step": 700 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 700 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 701 + }, + { + "accuracy": 1.0, + "epoch": 2.13, + "step": 702 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 703 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 704 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 705 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 706 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 707 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 708 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 709 + }, + { + "epoch": 2.14, + "grad_norm": 0.007749865297228098, + "learning_rate": 2.3407407407407406e-05, + "loss": 0.0003, + "step": 710 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 710 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 711 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 712 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 713 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 714 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 715 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 716 + }, + { + "accuracy": 1.0, + "epoch": 2.14, + "step": 717 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 718 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 719 + }, + { + "epoch": 2.15, + "grad_norm": 0.0038833627477288246, + "learning_rate": 2.3111111111111112e-05, + "loss": 0.0015, + "step": 720 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 720 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 721 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 722 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 723 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 724 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 725 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 726 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 727 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 728 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 729 + }, + { + "epoch": 2.15, + "grad_norm": 7.431872844696045, + "learning_rate": 2.2814814814814818e-05, + "loss": 0.09, + "step": 730 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 730 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 731 + }, + { + "accuracy": 1.0, + "epoch": 2.15, + "step": 732 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 733 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 734 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 735 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 736 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 737 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 738 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 739 + }, + { + "epoch": 2.16, + "grad_norm": 0.002486105542629957, + "learning_rate": 2.251851851851852e-05, + "loss": 0.0109, + "step": 740 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 740 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 741 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 742 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 743 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 744 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 745 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 746 + }, + { + "accuracy": 1.0, + "epoch": 2.16, + "step": 747 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 748 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 749 + }, + { + "epoch": 2.17, + "grad_norm": 0.0030093807727098465, + "learning_rate": 2.2222222222222227e-05, + "loss": 0.004, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 0.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 0.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 0.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 0.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 0.0, + "epoch": 2.17, + "step": 750 + }, + { + "epoch": 2.17, + "eval_accuracy": 0.95, + "eval_loss": 0.17908386886119843, + "eval_runtime": 117.0774, + "eval_samples_per_second": 0.854, + "eval_steps_per_second": 0.854, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 2.17, + "step": 750 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 751 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 752 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 753 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 754 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 755 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 756 + }, + { + "accuracy": 1.0, + "epoch": 3.0, + "step": 757 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 758 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 759 + }, + { + "epoch": 3.01, + "grad_norm": 0.0023822493385523558, + "learning_rate": 2.192592592592593e-05, + "loss": 0.0003, + "step": 760 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 760 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 761 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 762 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 763 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 764 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 765 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 766 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 767 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 768 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 769 + }, + { + "epoch": 3.01, + "grad_norm": 0.07780895382165909, + "learning_rate": 2.1629629629629632e-05, + "loss": 0.043, + "step": 770 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 770 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 771 + }, + { + "accuracy": 1.0, + "epoch": 3.01, + "step": 772 + }, + { + "accuracy": 0.0, + "epoch": 3.02, + "step": 773 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 774 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 775 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 776 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 777 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 778 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 779 + }, + { + "epoch": 3.02, + "grad_norm": 0.0048459903337061405, + "learning_rate": 2.1333333333333335e-05, + "loss": 0.1758, + "step": 780 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 780 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 781 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 782 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 783 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 784 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 785 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 786 + }, + { + "accuracy": 1.0, + "epoch": 3.02, + "step": 787 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 788 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 789 + }, + { + "epoch": 3.03, + "grad_norm": 0.003220546757802367, + "learning_rate": 2.1037037037037037e-05, + "loss": 0.0003, + "step": 790 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 790 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 791 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 792 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 793 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 794 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 795 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 796 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 797 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 798 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 799 + }, + { + "epoch": 3.03, + "grad_norm": 0.013224848546087742, + "learning_rate": 2.074074074074074e-05, + "loss": 0.0004, + "step": 800 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 800 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 801 + }, + { + "accuracy": 1.0, + "epoch": 3.03, + "step": 802 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 803 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 804 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 805 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 806 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 807 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 808 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 809 + }, + { + "epoch": 3.04, + "grad_norm": 0.021253325045108795, + "learning_rate": 2.0444444444444446e-05, + "loss": 0.0002, + "step": 810 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 810 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 811 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 812 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 813 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 814 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 815 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 816 + }, + { + "accuracy": 1.0, + "epoch": 3.04, + "step": 817 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 818 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 819 + }, + { + "epoch": 3.05, + "grad_norm": 0.003216712735593319, + "learning_rate": 2.014814814814815e-05, + "loss": 0.0259, + "step": 820 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 820 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 821 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 822 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 823 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 824 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 825 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 826 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 827 + }, + { + "accuracy": 0.0, + "epoch": 3.05, + "step": 828 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 829 + }, + { + "epoch": 3.05, + "grad_norm": 44.6733512878418, + "learning_rate": 1.9851851851851855e-05, + "loss": 0.1754, + "step": 830 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 830 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 831 + }, + { + "accuracy": 1.0, + "epoch": 3.05, + "step": 832 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 833 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 834 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 835 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 836 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 837 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 838 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 839 + }, + { + "epoch": 3.06, + "grad_norm": 0.020853500813245773, + "learning_rate": 1.9555555555555557e-05, + "loss": 0.0022, + "step": 840 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 840 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 841 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 842 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 843 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 844 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 845 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 846 + }, + { + "accuracy": 1.0, + "epoch": 3.06, + "step": 847 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 848 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 849 + }, + { + "epoch": 3.07, + "grad_norm": 0.05716252699494362, + "learning_rate": 1.925925925925926e-05, + "loss": 0.0006, + "step": 850 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 850 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 851 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 852 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 853 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 854 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 855 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 856 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 857 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 858 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 859 + }, + { + "epoch": 3.07, + "grad_norm": 0.004543145187199116, + "learning_rate": 1.8962962962962966e-05, + "loss": 0.0021, + "step": 860 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 860 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 861 + }, + { + "accuracy": 1.0, + "epoch": 3.07, + "step": 862 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 863 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 864 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 865 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 866 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 867 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 868 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 869 + }, + { + "epoch": 3.08, + "grad_norm": 0.0018642413197085261, + "learning_rate": 1.866666666666667e-05, + "loss": 0.0002, + "step": 870 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 870 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 871 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 872 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 873 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 874 + }, + { + "accuracy": 0.0, + "epoch": 3.08, + "step": 875 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 876 + }, + { + "accuracy": 1.0, + "epoch": 3.08, + "step": 877 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 878 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 879 + }, + { + "epoch": 3.09, + "grad_norm": 0.00903029553592205, + "learning_rate": 1.837037037037037e-05, + "loss": 0.2642, + "step": 880 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 880 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 881 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 882 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 883 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 884 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 885 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 886 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 887 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 888 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 889 + }, + { + "epoch": 3.09, + "grad_norm": 0.00872717797756195, + "learning_rate": 1.8074074074074074e-05, + "loss": 0.0002, + "step": 890 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 890 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 891 + }, + { + "accuracy": 1.0, + "epoch": 3.09, + "step": 892 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 893 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 894 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 895 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 896 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 897 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 898 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 899 + }, + { + "epoch": 3.1, + "grad_norm": 0.007039394695311785, + "learning_rate": 1.7777777777777777e-05, + "loss": 0.0314, + "step": 900 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 900 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 901 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 902 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 903 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 904 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 905 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 906 + }, + { + "accuracy": 1.0, + "epoch": 3.1, + "step": 907 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 908 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 909 + }, + { + "epoch": 3.11, + "grad_norm": 0.014733116142451763, + "learning_rate": 1.7481481481481483e-05, + "loss": 0.0002, + "step": 910 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 910 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 911 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 912 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 913 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 914 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 915 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 916 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 917 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 918 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 919 + }, + { + "epoch": 3.11, + "grad_norm": 0.003551606787368655, + "learning_rate": 1.7185185185185185e-05, + "loss": 0.0003, + "step": 920 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 920 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 921 + }, + { + "accuracy": 1.0, + "epoch": 3.11, + "step": 922 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 923 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 924 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 925 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 926 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 927 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 928 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 929 + }, + { + "epoch": 3.12, + "grad_norm": 0.0028077142778784037, + "learning_rate": 1.688888888888889e-05, + "loss": 0.0049, + "step": 930 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 930 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 931 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 932 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 933 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 934 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 935 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 936 + }, + { + "accuracy": 1.0, + "epoch": 3.12, + "step": 937 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 938 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 939 + }, + { + "epoch": 3.13, + "grad_norm": 0.0034145561512559652, + "learning_rate": 1.6592592592592594e-05, + "loss": 0.0011, + "step": 940 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 940 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 941 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 942 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 943 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 944 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 945 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 946 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 947 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 948 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 949 + }, + { + "epoch": 3.13, + "grad_norm": 2.191793203353882, + "learning_rate": 1.6296296296296297e-05, + "loss": 0.0029, + "step": 950 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 950 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 951 + }, + { + "accuracy": 1.0, + "epoch": 3.13, + "step": 952 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 953 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 954 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 955 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 956 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 957 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 958 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 959 + }, + { + "epoch": 3.14, + "grad_norm": 0.014660724438726902, + "learning_rate": 1.6000000000000003e-05, + "loss": 0.0005, + "step": 960 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 960 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 961 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 962 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 963 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 964 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 965 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 966 + }, + { + "accuracy": 1.0, + "epoch": 3.14, + "step": 967 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 968 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 969 + }, + { + "epoch": 3.15, + "grad_norm": 0.0022546437103301287, + "learning_rate": 1.5703703703703705e-05, + "loss": 0.0002, + "step": 970 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 970 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 971 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 972 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 973 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 974 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 975 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 976 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 977 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 978 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 979 + }, + { + "epoch": 3.15, + "grad_norm": 0.01155735645443201, + "learning_rate": 1.5407407407407408e-05, + "loss": 0.0005, + "step": 980 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 980 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 981 + }, + { + "accuracy": 1.0, + "epoch": 3.15, + "step": 982 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 983 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 984 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 985 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 986 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 987 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 988 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 989 + }, + { + "epoch": 3.16, + "grad_norm": 0.011351328343153, + "learning_rate": 1.5111111111111112e-05, + "loss": 0.0004, + "step": 990 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 990 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 991 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 992 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 993 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 994 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 995 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 996 + }, + { + "accuracy": 1.0, + "epoch": 3.16, + "step": 997 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 998 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 999 + }, + { + "epoch": 3.17, + "grad_norm": 0.008086876943707466, + "learning_rate": 1.4814814814814815e-05, + "loss": 0.0001, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 0.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "epoch": 3.17, + "eval_accuracy": 0.94, + "eval_loss": 0.28937509655952454, + "eval_runtime": 119.0522, + "eval_samples_per_second": 0.84, + "eval_steps_per_second": 0.84, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 3.17, + "step": 1000 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1001 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1002 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1003 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1004 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1005 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1006 + }, + { + "accuracy": 1.0, + "epoch": 4.0, + "step": 1007 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1008 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1009 + }, + { + "epoch": 4.01, + "grad_norm": 0.018452847376465797, + "learning_rate": 1.4518518518518521e-05, + "loss": 0.0019, + "step": 1010 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1010 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1011 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1012 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1013 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1014 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1015 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1016 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1017 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1018 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1019 + }, + { + "epoch": 4.01, + "grad_norm": 0.002972155110910535, + "learning_rate": 1.4222222222222224e-05, + "loss": 0.0016, + "step": 1020 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1020 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1021 + }, + { + "accuracy": 1.0, + "epoch": 4.01, + "step": 1022 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1023 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1024 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1025 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1026 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1027 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1028 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1029 + }, + { + "epoch": 4.02, + "grad_norm": 0.004539242014288902, + "learning_rate": 1.3925925925925928e-05, + "loss": 0.0001, + "step": 1030 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1030 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1031 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1032 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1033 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1034 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1035 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1036 + }, + { + "accuracy": 1.0, + "epoch": 4.02, + "step": 1037 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1038 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1039 + }, + { + "epoch": 4.03, + "grad_norm": 0.0034846500493586063, + "learning_rate": 1.362962962962963e-05, + "loss": 0.0005, + "step": 1040 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1040 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1041 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1042 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1043 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1044 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1045 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1046 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1047 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1048 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1049 + }, + { + "epoch": 4.03, + "grad_norm": 12.088410377502441, + "learning_rate": 1.3333333333333333e-05, + "loss": 0.008, + "step": 1050 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1050 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1051 + }, + { + "accuracy": 1.0, + "epoch": 4.03, + "step": 1052 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1053 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1054 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1055 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1056 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1057 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1058 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1059 + }, + { + "epoch": 4.04, + "grad_norm": 0.049480143934488297, + "learning_rate": 1.303703703703704e-05, + "loss": 0.0003, + "step": 1060 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1060 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1061 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1062 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1063 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1064 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1065 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1066 + }, + { + "accuracy": 1.0, + "epoch": 4.04, + "step": 1067 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1068 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1069 + }, + { + "epoch": 4.05, + "grad_norm": 0.13532185554504395, + "learning_rate": 1.2740740740740742e-05, + "loss": 0.0006, + "step": 1070 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1070 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1071 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1072 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1073 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1074 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1075 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1076 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1077 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1078 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1079 + }, + { + "epoch": 4.05, + "grad_norm": 0.005844641476869583, + "learning_rate": 1.2444444444444446e-05, + "loss": 0.0002, + "step": 1080 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1080 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1081 + }, + { + "accuracy": 1.0, + "epoch": 4.05, + "step": 1082 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1083 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1084 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1085 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1086 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1087 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1088 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1089 + }, + { + "epoch": 4.06, + "grad_norm": 0.013352198526263237, + "learning_rate": 1.2148148148148149e-05, + "loss": 0.0004, + "step": 1090 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1090 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1091 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1092 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1093 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1094 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1095 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1096 + }, + { + "accuracy": 1.0, + "epoch": 4.06, + "step": 1097 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1098 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1099 + }, + { + "epoch": 4.07, + "grad_norm": 0.028877543285489082, + "learning_rate": 1.1851851851851852e-05, + "loss": 0.0003, + "step": 1100 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1100 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1101 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1102 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1103 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1104 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1105 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1106 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1107 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1108 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1109 + }, + { + "epoch": 4.07, + "grad_norm": 0.003447836497798562, + "learning_rate": 1.1555555555555556e-05, + "loss": 0.0004, + "step": 1110 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1110 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1111 + }, + { + "accuracy": 1.0, + "epoch": 4.07, + "step": 1112 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1113 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1114 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1115 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1116 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1117 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1118 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1119 + }, + { + "epoch": 4.08, + "grad_norm": 0.0029898551292717457, + "learning_rate": 1.125925925925926e-05, + "loss": 0.0001, + "step": 1120 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1120 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1121 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1122 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1123 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1124 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1125 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1126 + }, + { + "accuracy": 1.0, + "epoch": 4.08, + "step": 1127 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1128 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1129 + }, + { + "epoch": 4.09, + "grad_norm": 0.002433036919683218, + "learning_rate": 1.0962962962962965e-05, + "loss": 0.0001, + "step": 1130 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1130 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1131 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1132 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1133 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1134 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1135 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1136 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1137 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1138 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1139 + }, + { + "epoch": 4.09, + "grad_norm": 0.0014641088200733066, + "learning_rate": 1.0666666666666667e-05, + "loss": 0.0001, + "step": 1140 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1140 + }, + { + "accuracy": 0.0, + "epoch": 4.09, + "step": 1141 + }, + { + "accuracy": 1.0, + "epoch": 4.09, + "step": 1142 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1143 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1144 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1145 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1146 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1147 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1148 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1149 + }, + { + "epoch": 4.1, + "grad_norm": 0.0023359342012554407, + "learning_rate": 1.037037037037037e-05, + "loss": 0.1819, + "step": 1150 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1150 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1151 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1152 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1153 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1154 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1155 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1156 + }, + { + "accuracy": 1.0, + "epoch": 4.1, + "step": 1157 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1158 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1159 + }, + { + "epoch": 4.11, + "grad_norm": 0.0064132967963814735, + "learning_rate": 1.0074074074074074e-05, + "loss": 0.001, + "step": 1160 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1160 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1161 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1162 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1163 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1164 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1165 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1166 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1167 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1168 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1169 + }, + { + "epoch": 4.11, + "grad_norm": 4.7327446937561035, + "learning_rate": 9.777777777777779e-06, + "loss": 0.0053, + "step": 1170 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1170 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1171 + }, + { + "accuracy": 1.0, + "epoch": 4.11, + "step": 1172 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1173 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1174 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1175 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1176 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1177 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1178 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1179 + }, + { + "epoch": 4.12, + "grad_norm": 0.011785696260631084, + "learning_rate": 9.481481481481483e-06, + "loss": 0.0002, + "step": 1180 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1180 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1181 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1182 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1183 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1184 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1185 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1186 + }, + { + "accuracy": 1.0, + "epoch": 4.12, + "step": 1187 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1188 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1189 + }, + { + "epoch": 4.13, + "grad_norm": 0.002919859951362014, + "learning_rate": 9.185185185185186e-06, + "loss": 0.0002, + "step": 1190 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1190 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1191 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1192 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1193 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1194 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1195 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1196 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1197 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1198 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1199 + }, + { + "epoch": 4.13, + "grad_norm": 0.0023338980972766876, + "learning_rate": 8.888888888888888e-06, + "loss": 0.0004, + "step": 1200 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1200 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1201 + }, + { + "accuracy": 1.0, + "epoch": 4.13, + "step": 1202 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1203 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1204 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1205 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1206 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1207 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1208 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1209 + }, + { + "epoch": 4.14, + "grad_norm": 0.001431985991075635, + "learning_rate": 8.592592592592593e-06, + "loss": 0.0003, + "step": 1210 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1210 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1211 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1212 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1213 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1214 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1215 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1216 + }, + { + "accuracy": 1.0, + "epoch": 4.14, + "step": 1217 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1218 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1219 + }, + { + "epoch": 4.15, + "grad_norm": 0.009923696517944336, + "learning_rate": 8.296296296296297e-06, + "loss": 0.0002, + "step": 1220 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1220 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1221 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1222 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1223 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1224 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1225 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1226 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1227 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1228 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1229 + }, + { + "epoch": 4.15, + "grad_norm": 0.0034356003161519766, + "learning_rate": 8.000000000000001e-06, + "loss": 0.0001, + "step": 1230 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1230 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1231 + }, + { + "accuracy": 1.0, + "epoch": 4.15, + "step": 1232 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1233 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1234 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1235 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1236 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1237 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1238 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1239 + }, + { + "epoch": 4.16, + "grad_norm": 0.004799115937203169, + "learning_rate": 7.703703703703704e-06, + "loss": 0.0002, + "step": 1240 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1240 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1241 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1242 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1243 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1244 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1245 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1246 + }, + { + "accuracy": 1.0, + "epoch": 4.16, + "step": 1247 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1248 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1249 + }, + { + "epoch": 4.17, + "grad_norm": 0.0013780761510133743, + "learning_rate": 7.4074074074074075e-06, + "loss": 0.0001, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 0.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "epoch": 4.17, + "eval_accuracy": 0.94, + "eval_loss": 0.29219138622283936, + "eval_runtime": 117.146, + "eval_samples_per_second": 0.854, + "eval_steps_per_second": 0.854, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 4.17, + "step": 1250 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1251 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1252 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1253 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1254 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1255 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1256 + }, + { + "accuracy": 1.0, + "epoch": 5.0, + "step": 1257 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1258 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1259 + }, + { + "epoch": 5.01, + "grad_norm": 0.0013477198081091046, + "learning_rate": 7.111111111111112e-06, + "loss": 0.0001, + "step": 1260 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1260 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1261 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1262 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1263 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1264 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1265 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1266 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1267 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1268 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1269 + }, + { + "epoch": 5.01, + "grad_norm": 0.002066924935206771, + "learning_rate": 6.814814814814815e-06, + "loss": 0.0002, + "step": 1270 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1270 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1271 + }, + { + "accuracy": 1.0, + "epoch": 5.01, + "step": 1272 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1273 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1274 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1275 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1276 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1277 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1278 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1279 + }, + { + "epoch": 5.02, + "grad_norm": 0.07563885301351547, + "learning_rate": 6.51851851851852e-06, + "loss": 0.0003, + "step": 1280 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1280 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1281 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1282 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1283 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1284 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1285 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1286 + }, + { + "accuracy": 1.0, + "epoch": 5.02, + "step": 1287 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1288 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1289 + }, + { + "epoch": 5.03, + "grad_norm": 0.00192207470536232, + "learning_rate": 6.222222222222223e-06, + "loss": 0.0002, + "step": 1290 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1290 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1291 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1292 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1293 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1294 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1295 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1296 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1297 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1298 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1299 + }, + { + "epoch": 5.03, + "grad_norm": 0.0015962225152179599, + "learning_rate": 5.925925925925926e-06, + "loss": 0.0001, + "step": 1300 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1300 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1301 + }, + { + "accuracy": 1.0, + "epoch": 5.03, + "step": 1302 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1303 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1304 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1305 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1306 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1307 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1308 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1309 + }, + { + "epoch": 5.04, + "grad_norm": 0.006703606341034174, + "learning_rate": 5.62962962962963e-06, + "loss": 0.0026, + "step": 1310 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1310 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1311 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1312 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1313 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1314 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1315 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1316 + }, + { + "accuracy": 1.0, + "epoch": 5.04, + "step": 1317 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1318 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1319 + }, + { + "epoch": 5.05, + "grad_norm": 0.0024196472950279713, + "learning_rate": 5.333333333333334e-06, + "loss": 0.0002, + "step": 1320 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1320 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1321 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1322 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1323 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1324 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1325 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1326 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1327 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1328 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1329 + }, + { + "epoch": 5.05, + "grad_norm": 0.002841345267370343, + "learning_rate": 5.037037037037037e-06, + "loss": 0.0001, + "step": 1330 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1330 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1331 + }, + { + "accuracy": 1.0, + "epoch": 5.05, + "step": 1332 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1333 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1334 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1335 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1336 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1337 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1338 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1339 + }, + { + "epoch": 5.06, + "grad_norm": 0.03741031140089035, + "learning_rate": 4.7407407407407415e-06, + "loss": 0.0011, + "step": 1340 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1340 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1341 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1342 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1343 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1344 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1345 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1346 + }, + { + "accuracy": 1.0, + "epoch": 5.06, + "step": 1347 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1348 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1349 + }, + { + "epoch": 5.07, + "grad_norm": 0.003749188268557191, + "learning_rate": 4.444444444444444e-06, + "loss": 0.0003, + "step": 1350 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1350 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1351 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1352 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1353 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1354 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1355 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1356 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1357 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1358 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1359 + }, + { + "epoch": 5.07, + "grad_norm": 0.05092022195458412, + "learning_rate": 4.1481481481481485e-06, + "loss": 0.0002, + "step": 1360 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1360 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1361 + }, + { + "accuracy": 1.0, + "epoch": 5.07, + "step": 1362 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1363 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1364 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1365 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1366 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1367 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1368 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1369 + }, + { + "epoch": 5.08, + "grad_norm": 0.001492610084824264, + "learning_rate": 3.851851851851852e-06, + "loss": 0.0001, + "step": 1370 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1370 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1371 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1372 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1373 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1374 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1375 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1376 + }, + { + "accuracy": 1.0, + "epoch": 5.08, + "step": 1377 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1378 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1379 + }, + { + "epoch": 5.09, + "grad_norm": 0.006755433510988951, + "learning_rate": 3.555555555555556e-06, + "loss": 0.0001, + "step": 1380 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1380 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1381 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1382 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1383 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1384 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1385 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1386 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1387 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1388 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1389 + }, + { + "epoch": 5.09, + "grad_norm": 0.008360594511032104, + "learning_rate": 3.25925925925926e-06, + "loss": 0.0001, + "step": 1390 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1390 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1391 + }, + { + "accuracy": 1.0, + "epoch": 5.09, + "step": 1392 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1393 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1394 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1395 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1396 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1397 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1398 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1399 + }, + { + "epoch": 5.1, + "grad_norm": 0.002672309521585703, + "learning_rate": 2.962962962962963e-06, + "loss": 0.0005, + "step": 1400 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1400 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1401 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1402 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1403 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1404 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1405 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1406 + }, + { + "accuracy": 1.0, + "epoch": 5.1, + "step": 1407 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1408 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1409 + }, + { + "epoch": 5.11, + "grad_norm": 0.002087739761918783, + "learning_rate": 2.666666666666667e-06, + "loss": 0.0002, + "step": 1410 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1410 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1411 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1412 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1413 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1414 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1415 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1416 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1417 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1418 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1419 + }, + { + "epoch": 5.11, + "grad_norm": 0.016560420393943787, + "learning_rate": 2.3703703703703707e-06, + "loss": 0.0003, + "step": 1420 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1420 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1421 + }, + { + "accuracy": 1.0, + "epoch": 5.11, + "step": 1422 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1423 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1424 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1425 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1426 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1427 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1428 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1429 + }, + { + "epoch": 5.12, + "grad_norm": 0.002120854565873742, + "learning_rate": 2.0740740740740742e-06, + "loss": 0.0001, + "step": 1430 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1430 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1431 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1432 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1433 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1434 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1435 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1436 + }, + { + "accuracy": 1.0, + "epoch": 5.12, + "step": 1437 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1438 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1439 + }, + { + "epoch": 5.13, + "grad_norm": 0.03213360160589218, + "learning_rate": 1.777777777777778e-06, + "loss": 0.0003, + "step": 1440 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1440 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1441 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1442 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1443 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1444 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1445 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1446 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1447 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1448 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1449 + }, + { + "epoch": 5.13, + "grad_norm": 0.003606037702411413, + "learning_rate": 1.4814814814814815e-06, + "loss": 0.0027, + "step": 1450 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1450 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1451 + }, + { + "accuracy": 1.0, + "epoch": 5.13, + "step": 1452 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1453 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1454 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1455 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1456 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1457 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1458 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1459 + }, + { + "epoch": 5.14, + "grad_norm": 15.364974021911621, + "learning_rate": 1.1851851851851854e-06, + "loss": 0.0164, + "step": 1460 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1460 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1461 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1462 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1463 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1464 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1465 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1466 + }, + { + "accuracy": 1.0, + "epoch": 5.14, + "step": 1467 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1468 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1469 + }, + { + "epoch": 5.15, + "grad_norm": 0.003104919334873557, + "learning_rate": 8.88888888888889e-07, + "loss": 0.0003, + "step": 1470 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1470 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1471 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1472 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1473 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1474 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1475 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1476 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1477 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1478 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1479 + }, + { + "epoch": 5.15, + "grad_norm": 0.001645658747293055, + "learning_rate": 5.925925925925927e-07, + "loss": 0.0009, + "step": 1480 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1480 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1481 + }, + { + "accuracy": 1.0, + "epoch": 5.15, + "step": 1482 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1483 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1484 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1485 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1486 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1487 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1488 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1489 + }, + { + "epoch": 5.16, + "grad_norm": 0.004309391137212515, + "learning_rate": 2.9629629629629634e-07, + "loss": 0.0001, + "step": 1490 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1490 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1491 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1492 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1493 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1494 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1495 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1496 + }, + { + "accuracy": 1.0, + "epoch": 5.16, + "step": 1497 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1498 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1499 + }, + { + "epoch": 5.17, + "grad_norm": 0.00799388438463211, + "learning_rate": 0.0, + "loss": 0.002, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "epoch": 5.17, + "eval_accuracy": 0.93, + "eval_loss": 0.31403449177742004, + "eval_runtime": 118.3792, + "eval_samples_per_second": 0.845, + "eval_steps_per_second": 0.845, + "step": 1500 + }, + { + "epoch": 5.17, + "step": 1500, + "total_flos": 1.16251514330112e+18, + "train_loss": 0.18969192462581366, + "train_runtime": 2692.2347, + "train_samples_per_second": 0.557, + "train_steps_per_second": 0.557 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "epoch": 5.17, + "eval_accuracy": 0.94, + "eval_loss": 0.18728949129581451, + "eval_runtime": 123.1389, + "eval_samples_per_second": 0.812, + "eval_steps_per_second": 0.812, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 0.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "accuracy": 1.0, + "epoch": 5.17, + "step": 1500 + }, + { + "epoch": 5.17, + "eval_accuracy": 0.94, + "eval_loss": 0.1872895061969757, + "eval_runtime": 125.4207, + "eval_samples_per_second": 0.797, + "eval_steps_per_second": 0.797, + "step": 1500 + } + ], + "logging_steps": 10, + "max_steps": 1500, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 500, + "total_flos": 1.16251514330112e+18, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}