diff --git "a/checkpoint-1800/trainer_state.json" "b/checkpoint-1800/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/checkpoint-1800/trainer_state.json"
@@ -0,0 +1,11185 @@
+{
+  "best_metric": 0.6039700508117676,
+  "best_model_checkpoint": "./output_v2/34bCodellama_CodeLlama-34b-Python-hf_codellama_blob_1/checkpoint-1400",
+  "epoch": 1.2636012636012637,
+  "global_step": 1800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 1.5667,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 0.9201,
+      "step": 2
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 0.6019,
+      "step": 3
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 0.861,
+      "step": 4
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 1.064,
+      "step": 5
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 1.0007,
+      "step": 6
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 0.0004,
+      "loss": 1.0533,
+      "step": 7
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.8498,
+      "step": 8
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.9189,
+      "step": 9
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.9369,
+      "step": 10
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 1.1375,
+      "step": 11
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.8369,
+      "step": 12
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.689,
+      "step": 13
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.8885,
+      "step": 14
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.9666,
+      "step": 15
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.744,
+      "step": 16
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.8998,
+      "step": 17
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.8371,
+      "step": 18
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.7615,
+      "step": 19
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.6963,
+      "step": 20
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 0.0004,
+      "loss": 0.5974,
+      "step": 21
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 1.4922,
+      "step": 22
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 1.1272,
+      "step": 23
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.4373,
+      "step": 24
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 1.0598,
+      "step": 25
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 1.191,
+      "step": 26
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.6499,
+      "step": 27
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.7526,
+      "step": 28
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.7252,
+      "step": 29
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.8555,
+      "step": 30
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.479,
+      "step": 31
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.5273,
+      "step": 32
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3907,
+      "step": 33
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.5284,
+      "step": 34
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 0.0004,
+      "loss": 0.8696,
+      "step": 35
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.9264,
+      "step": 36
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.6812,
+      "step": 37
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.4482,
+      "step": 38
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 1.9031,
+      "step": 39
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 1.3295,
+      "step": 40
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.7498,
+      "step": 41
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 1.4452,
+      "step": 42
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 1.224,
+      "step": 43
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.3272,
+      "step": 44
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.7366,
+      "step": 45
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 1.0331,
+      "step": 46
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.8471,
+      "step": 47
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.8171,
+      "step": 48
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 0.0004,
+      "loss": 0.418,
+      "step": 49
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.6942,
+      "step": 50
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.1712,
+      "step": 51
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5041,
+      "step": 52
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.4619,
+      "step": 53
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5011,
+      "step": 54
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5,
+      "step": 55
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.917,
+      "step": 56
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.8142,
+      "step": 57
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.8708,
+      "step": 58
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.7987,
+      "step": 59
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.9699,
+      "step": 60
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 1.0015,
+      "step": 61
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.8052,
+      "step": 62
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 0.8645,
+      "step": 63
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 0.0004,
+      "loss": 1.1444,
+      "step": 64
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 1.0087,
+      "step": 65
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.5679,
+      "step": 66
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.5507,
+      "step": 67
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 1.1764,
+      "step": 68
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.6332,
+      "step": 69
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.8759,
+      "step": 70
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.8385,
+      "step": 71
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.7869,
+      "step": 72
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 1.4457,
+      "step": 73
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.9331,
+      "step": 74
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.8943,
+      "step": 75
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.5783,
+      "step": 76
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.6433,
+      "step": 77
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 0.0004,
+      "loss": 0.7517,
+      "step": 78
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.5061,
+      "step": 79
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.7332,
+      "step": 80
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 1.6546,
+      "step": 81
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.4723,
+      "step": 82
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.2814,
+      "step": 83
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.4068,
+      "step": 84
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 1.1729,
+      "step": 85
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.698,
+      "step": 86
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.7746,
+      "step": 87
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.5065,
+      "step": 88
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.4654,
+      "step": 89
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.5724,
+      "step": 90
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 1.1535,
+      "step": 91
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 0.0004,
+      "loss": 0.3854,
+      "step": 92
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 1.6848,
+      "step": 93
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.6667,
+      "step": 94
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.4526,
+      "step": 95
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.7112,
+      "step": 96
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.6816,
+      "step": 97
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.7496,
+      "step": 98
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 1.189,
+      "step": 99
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 1.4239,
+      "step": 100
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.4378,
+      "step": 101
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 2.3054,
+      "step": 102
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.1593,
+      "step": 103
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.2481,
+      "step": 104
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.6469,
+      "step": 105
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 0.0004,
+      "loss": 0.7417,
+      "step": 106
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.7767,
+      "step": 107
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.831,
+      "step": 108
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.7954,
+      "step": 109
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6376,
+      "step": 110
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6208,
+      "step": 111
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.9038,
+      "step": 112
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.9994,
+      "step": 113
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 1.0233,
+      "step": 114
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.7573,
+      "step": 115
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5333,
+      "step": 116
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4886,
+      "step": 117
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.75,
+      "step": 118
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6377,
+      "step": 119
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6518,
+      "step": 120
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6409,
+      "step": 121
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.5996,
+      "step": 122
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.7964,
+      "step": 123
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.5898,
+      "step": 124
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.8753,
+      "step": 125
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.6304,
+      "step": 126
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.5428,
+      "step": 127
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.8571,
+      "step": 128
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.8339,
+      "step": 129
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.6087,
+      "step": 130
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3547,
+      "step": 131
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3494,
+      "step": 132
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.5394,
+      "step": 133
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.4315,
+      "step": 134
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3575,
+      "step": 135
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4983,
+      "step": 136
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4292,
+      "step": 137
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.6315,
+      "step": 138
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.9827,
+      "step": 139
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 1.4456,
+      "step": 140
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.5151,
+      "step": 141
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4651,
+      "step": 142
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.8682,
+      "step": 143
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 1.1543,
+      "step": 144
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3378,
+      "step": 145
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.5381,
+      "step": 146
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.5189,
+      "step": 147
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3988,
+      "step": 148
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 0.0004,
+      "loss": 0.9694,
+      "step": 149
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 1.2404,
+      "step": 150
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.3767,
+      "step": 151
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.5564,
+      "step": 152
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.2665,
+      "step": 153
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.172,
+      "step": 154
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.6584,
+      "step": 155
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.7588,
+      "step": 156
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.9431,
+      "step": 157
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.9456,
+      "step": 158
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.7471,
+      "step": 159
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.8477,
+      "step": 160
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.7679,
+      "step": 161
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 0.8937,
+      "step": 162
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 0.0004,
+      "loss": 1.2858,
+      "step": 163
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.7806,
+      "step": 164
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.8034,
+      "step": 165
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.6372,
+      "step": 166
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.8217,
+      "step": 167
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.3706,
+      "step": 168
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 1.0851,
+      "step": 169
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.6719,
+      "step": 170
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 1.0366,
+      "step": 171
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5603,
+      "step": 172
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5651,
+      "step": 173
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.3804,
+      "step": 174
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5946,
+      "step": 175
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.7649,
+      "step": 176
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5035,
+      "step": 177
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 0.0004,
+      "loss": 0.8066,
+      "step": 178
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.8046,
+      "step": 179
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4233,
+      "step": 180
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.7945,
+      "step": 181
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.5722,
+      "step": 182
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.6088,
+      "step": 183
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4229,
+      "step": 184
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.8723,
+      "step": 185
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.9287,
+      "step": 186
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.8082,
+      "step": 187
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4144,
+      "step": 188
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.372,
+      "step": 189
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.5725,
+      "step": 190
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.3837,
+      "step": 191
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 0.0004,
+      "loss": 0.5155,
+      "step": 192
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.5472,
+      "step": 193
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.6488,
+      "step": 194
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 1.4385,
+      "step": 195
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.3418,
+      "step": 196
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.8811,
+      "step": 197
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.8176,
+      "step": 198
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.5379,
+      "step": 199
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 1.0277,
+      "step": 200
+    },
+    {
+      "epoch": 0.14,
+      "eval_loss": 0.662463366985321,
+      "eval_runtime": 262.5709,
+      "eval_samples_per_second": 1.904,
+      "eval_steps_per_second": 0.952,
+      "step": 200
+    },
+    {
+      "epoch": 0.14,
+      "mmlu_eval_accuracy": 0.41276444254447825,
+      "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091,
+      "mmlu_eval_accuracy_anatomy": 0.42857142857142855,
+      "mmlu_eval_accuracy_astronomy": 0.5,
+      "mmlu_eval_accuracy_business_ethics": 0.2727272727272727,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
+      "mmlu_eval_accuracy_college_biology": 0.3125,
+      "mmlu_eval_accuracy_college_chemistry": 0.375,
+      "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
+      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
+      "mmlu_eval_accuracy_college_medicine": 0.6363636363636364,
+      "mmlu_eval_accuracy_college_physics": 0.2727272727272727,
+      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
+      "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
+      "mmlu_eval_accuracy_econometrics": 0.4166666666666667,
+      "mmlu_eval_accuracy_electrical_engineering": 0.5,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
+      "mmlu_eval_accuracy_formal_logic": 0.5714285714285714,
+      "mmlu_eval_accuracy_global_facts": 0.2,
+      "mmlu_eval_accuracy_high_school_biology": 0.1875,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.4090909090909091,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
+      "mmlu_eval_accuracy_high_school_european_history": 0.4444444444444444,
+      "mmlu_eval_accuracy_high_school_geography": 0.5909090909090909,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.4482758620689655,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.5714285714285714,
+      "mmlu_loss": 0.7435930466353893,
+      "step": 200
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 1.6342,
+      "step": 201
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1179,
+      "step": 202
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1083,
+      "step": 203
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.6355,
+      "step": 204
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.5694,
+      "step": 205
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 0.0004,
+      "loss": 0.7707,
+      "step": 206
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.3314,
+      "step": 207
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 1.0069,
+      "step": 208
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.9113,
+      "step": 209
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.8692,
+      "step": 210
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.7362,
+      "step": 211
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.926,
+      "step": 212
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.7405,
+      "step": 213
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.9191,
+      "step": 214
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.9301,
+      "step": 215
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.8581,
+      "step": 216
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.4548,
+      "step": 217
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.6516,
+      "step": 218
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 0.7194,
+      "step": 219
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 0.0004,
+      "loss": 1.0441,
+      "step": 220
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.9499,
+      "step": 221
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5447,
+      "step": 222
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.8795,
+      "step": 223
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5347,
+      "step": 224
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5827,
+      "step": 225
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.311,
+      "step": 226
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.1071,
+      "step": 227
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.6336,
+      "step": 228
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.6212,
+      "step": 229
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.4345,
+      "step": 230
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5373,
+      "step": 231
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.9612,
+      "step": 232
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 1.0251,
+      "step": 233
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.4267,
+      "step": 234
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5767,
+      "step": 235
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.5123,
+      "step": 236
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.354,
+      "step": 237
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 1.1279,
+      "step": 238
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.6464,
+      "step": 239
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.7227,
+      "step": 240
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 1.3533,
+      "step": 241
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.3986,
+      "step": 242
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 1.0402,
+      "step": 243
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.4558,
+      "step": 244
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.5525,
+      "step": 245
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 1.5916,
+      "step": 246
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.9311,
+      "step": 247
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.3011,
+      "step": 248
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 0.0004,
+      "loss": 0.5813,
+      "step": 249
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 1.134,
+      "step": 250
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.3062,
+      "step": 251
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.2848,
+      "step": 252
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.1995,
+      "step": 253
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8426,
+      "step": 254
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8062,
+      "step": 255
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 1.0046,
+      "step": 256
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.6235,
+      "step": 257
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 1.0021,
+      "step": 258
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8788,
+      "step": 259
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.883,
+      "step": 260
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8167,
+      "step": 261
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8068,
+      "step": 262
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 0.0004,
+      "loss": 0.4259,
+      "step": 263
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.8339,
+      "step": 264
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.8149,
+      "step": 265
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.6023,
+      "step": 266
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.8297,
+      "step": 267
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 1.0205,
+      "step": 268
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5643,
+      "step": 269
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.719,
+      "step": 270
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.812,
+      "step": 271
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5513,
+      "step": 272
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.7669,
+      "step": 273
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.6044,
+      "step": 274
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.7956,
+      "step": 275
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.569,
+      "step": 276
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5728,
+      "step": 277
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.534,
+      "step": 278
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4182,
+      "step": 279
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.9406,
+      "step": 280
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.8158,
+      "step": 281
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.674,
+      "step": 282
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4463,
+      "step": 283
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.5038,
+      "step": 284
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.5103,
+      "step": 285
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4692,
+      "step": 286
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4955,
+      "step": 287
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 1.068,
+      "step": 288
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.5165,
+      "step": 289
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.6199,
+      "step": 290
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 1.1037,
+      "step": 291
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 0.0004,
+      "loss": 0.155,
+      "step": 292
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 1.4112,
+      "step": 293
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.5906,
+      "step": 294
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.5932,
+      "step": 295
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.8826,
+      "step": 296
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.5626,
+      "step": 297
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.3403,
+      "step": 298
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 1.3782,
+      "step": 299
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 1.2619,
+      "step": 300
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.4879,
+      "step": 301
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.426,
+      "step": 302
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.2672,
+      "step": 303
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.4627,
+      "step": 304
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.8008,
+      "step": 305
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 0.0004,
+      "loss": 0.8396,
+      "step": 306
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.826,
+      "step": 307
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.9369,
+      "step": 308
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.8878,
+      "step": 309
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.8131,
+      "step": 310
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.8733,
+      "step": 311
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.6789,
+      "step": 312
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.9527,
+      "step": 313
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.4861,
+      "step": 314
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.6534,
+      "step": 315
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.7253,
+      "step": 316
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.626,
+      "step": 317
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.7153,
+      "step": 318
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.5901,
+      "step": 319
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 0.0004,
+      "loss": 0.5152,
+      "step": 320
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.6235,
+      "step": 321
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.7336,
+      "step": 322
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.8437,
+      "step": 323
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.8042,
+      "step": 324
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.524,
+      "step": 325
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.882,
+      "step": 326
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.5542,
+      "step": 327
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.5666,
+      "step": 328
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.7223,
+      "step": 329
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.4367,
+      "step": 330
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.6358,
+      "step": 331
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.6793,
+      "step": 332
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.3485,
+      "step": 333
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 0.0004,
+      "loss": 0.6813,
+      "step": 334
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.8295,
+      "step": 335
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4777,
+      "step": 336
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.8557,
+      "step": 337
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.7415,
+      "step": 338
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.5843,
+      "step": 339
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4585,
+      "step": 340
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.2676,
+      "step": 341
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.2997,
+      "step": 342
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.5732,
+      "step": 343
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3759,
+      "step": 344
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4395,
+      "step": 345
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4864,
+      "step": 346
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3492,
+      "step": 347
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.5787,
+      "step": 348
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 0.0004,
+      "loss": 0.8384,
+      "step": 349
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 1.2399,
+      "step": 350
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.248,
+      "step": 351
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.2635,
+      "step": 352
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.3762,
+      "step": 353
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.5572,
+      "step": 354
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 1.0953,
+      "step": 355
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.8513,
+      "step": 356
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.8504,
+      "step": 357
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.9141,
+      "step": 358
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.7751,
+      "step": 359
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.8659,
+      "step": 360
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.9634,
+      "step": 361
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.9354,
+      "step": 362
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 0.0004,
+      "loss": 0.6382,
+      "step": 363
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.9403,
+      "step": 364
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.8036,
+      "step": 365
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.5506,
+      "step": 366
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.4639,
+      "step": 367
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.8315,
+      "step": 368
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6634,
+      "step": 369
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6388,
+      "step": 370
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.7629,
+      "step": 371
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6548,
+      "step": 372
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.5165,
+      "step": 373
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.2858,
+      "step": 374
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.3376,
+      "step": 375
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.5373,
+      "step": 376
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6229,
+      "step": 377
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.5867,
+      "step": 378
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.5533,
+      "step": 379
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.4804,
+      "step": 380
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.313,
+      "step": 381
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.7077,
+      "step": 382
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.5241,
+      "step": 383
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.3367,
+      "step": 384
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.8614,
+      "step": 385
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.4548,
+      "step": 386
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.6221,
+      "step": 387
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.8041,
+      "step": 388
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.2546,
+      "step": 389
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.5016,
+      "step": 390
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 0.0004,
+      "loss": 0.4664,
+      "step": 391
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.2124,
+      "step": 392
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.4019,
+      "step": 393
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.8749,
+      "step": 394
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.2319,
+      "step": 395
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.9602,
+      "step": 396
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.9182,
+      "step": 397
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.2092,
+      "step": 398
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.2311,
+      "step": 399
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 1.6764,
+      "step": 400
+    },
+    {
+      "epoch": 0.28,
+      "eval_loss": 0.6333504915237427,
+      "eval_runtime": 261.9428,
+      "eval_samples_per_second": 1.909,
+      "eval_steps_per_second": 0.954,
+      "step": 400
+    },
+    {
+      "epoch": 0.28,
+      "mmlu_eval_accuracy": 0.4098082068017773,
+      "mmlu_eval_accuracy_abstract_algebra": 0.09090909090909091,
+      "mmlu_eval_accuracy_anatomy": 0.2857142857142857,
+      "mmlu_eval_accuracy_astronomy": 0.375,
+      "mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
+      "mmlu_eval_accuracy_college_biology": 0.4375,
+      "mmlu_eval_accuracy_college_chemistry": 0.25,
+      "mmlu_eval_accuracy_college_computer_science": 0.5454545454545454,
+      "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453,
+      "mmlu_eval_accuracy_college_medicine": 0.5,
+      "mmlu_eval_accuracy_college_physics": 0.36363636363636365,
+      "mmlu_eval_accuracy_computer_security": 0.5454545454545454,
+      "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
+      "mmlu_eval_accuracy_econometrics": 0.16666666666666666,
+      "mmlu_eval_accuracy_electrical_engineering": 0.5625,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
+      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
+      "mmlu_eval_accuracy_global_facts": 0.2,
+      "mmlu_eval_accuracy_high_school_biology": 0.3125,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.7777777777777778,
+      "mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
+      "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.3953488372093023,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.35714285714285715,
+      "mmlu_loss": 0.6790264239534736,
+      "step": 400
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.3098,
+      "step": 401
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.0669,
+      "step": 402
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.3434,
+      "step": 403
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.6937,
+      "step": 404
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 0.0004,
+      "loss": 0.6958,
+      "step": 405
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.7289,
+      "step": 406
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.804,
+      "step": 407
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.7795,
+      "step": 408
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.4095,
+      "step": 409
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.5514,
+      "step": 410
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.9134,
+      "step": 411
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.6661,
+      "step": 412
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.8238,
+      "step": 413
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.6895,
+      "step": 414
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.6924,
+      "step": 415
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.5246,
+      "step": 416
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.6762,
+      "step": 417
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.4997,
+      "step": 418
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.7983,
+      "step": 419
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 0.0004,
+      "loss": 0.5747,
+      "step": 420
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 1.1613,
+      "step": 421
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.6814,
+      "step": 422
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.97,
+      "step": 423
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.4104,
+      "step": 424
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.5966,
+      "step": 425
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.7571,
+      "step": 426
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 1.2513,
+      "step": 427
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.594,
+      "step": 428
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.9536,
+      "step": 429
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.8351,
+      "step": 430
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.3044,
+      "step": 431
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.893,
+      "step": 432
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.8969,
+      "step": 433
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 0.0004,
+      "loss": 0.7612,
+      "step": 434
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.2974,
+      "step": 435
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.5277,
+      "step": 436
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.3194,
+      "step": 437
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 1.1187,
+      "step": 438
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.5409,
+      "step": 439
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.4445,
+      "step": 440
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.3914,
+      "step": 441
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 2.116,
+      "step": 442
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.4477,
+      "step": 443
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 1.4711,
+      "step": 444
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.6186,
+      "step": 445
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.3651,
+      "step": 446
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.2939,
+      "step": 447
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 0.0004,
+      "loss": 0.2754,
+      "step": 448
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.7015,
+      "step": 449
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 1.2934,
+      "step": 450
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.3308,
+      "step": 451
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.3002,
+      "step": 452
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.3875,
+      "step": 453
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.1527,
+      "step": 454
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.791,
+      "step": 455
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.6592,
+      "step": 456
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.8466,
+      "step": 457
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.7768,
+      "step": 458
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.7784,
+      "step": 459
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.8584,
+      "step": 460
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.8313,
+      "step": 461
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 0.0004,
+      "loss": 0.57,
+      "step": 462
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.7299,
+      "step": 463
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.6277,
+      "step": 464
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.6326,
+      "step": 465
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.7089,
+      "step": 466
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.6943,
+      "step": 467
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.5197,
+      "step": 468
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.79,
+      "step": 469
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.5237,
+      "step": 470
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.5653,
+      "step": 471
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.5509,
+      "step": 472
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.9335,
+      "step": 473
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.816,
+      "step": 474
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.7155,
+      "step": 475
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.5283,
+      "step": 476
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 0.0004,
+      "loss": 0.1808,
+      "step": 477
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.5369,
+      "step": 478
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.6086,
+      "step": 479
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.6205,
+      "step": 480
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 1.3518,
+      "step": 481
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.6041,
+      "step": 482
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.4709,
+      "step": 483
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.8976,
+      "step": 484
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.2544,
+      "step": 485
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 1.0326,
+      "step": 486
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.2799,
+      "step": 487
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 1.4241,
+      "step": 488
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.3467,
+      "step": 489
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.8382,
+      "step": 490
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 0.0004,
+      "loss": 0.2025,
+      "step": 491
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.4382,
+      "step": 492
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.5643,
+      "step": 493
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.6231,
+      "step": 494
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 1.0425,
+      "step": 495
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.8847,
+      "step": 496
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.6748,
+      "step": 497
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.3893,
+      "step": 498
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.3734,
+      "step": 499
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 1.6683,
+      "step": 500
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.2681,
+      "step": 501
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.2262,
+      "step": 502
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.5853,
+      "step": 503
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.928,
+      "step": 504
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 0.0004,
+      "loss": 0.8761,
+      "step": 505
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8541,
+      "step": 506
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.4984,
+      "step": 507
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.9247,
+      "step": 508
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8992,
+      "step": 509
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8758,
+      "step": 510
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.6687,
+      "step": 511
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.7952,
+      "step": 512
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8696,
+      "step": 513
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.761,
+      "step": 514
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8351,
+      "step": 515
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.8167,
+      "step": 516
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.6166,
+      "step": 517
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.7103,
+      "step": 518
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 0.0004,
+      "loss": 0.9162,
+      "step": 519
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.567,
+      "step": 520
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.9573,
+      "step": 521
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.4096,
+      "step": 522
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.6648,
+      "step": 523
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.6851,
+      "step": 524
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.4083,
+      "step": 525
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.8178,
+      "step": 526
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 1.1736,
+      "step": 527
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.5406,
+      "step": 528
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.552,
+      "step": 529
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.6497,
+      "step": 530
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.4467,
+      "step": 531
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.9224,
+      "step": 532
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.9014,
+      "step": 533
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 0.0004,
+      "loss": 0.8595,
+      "step": 534
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.343,
+      "step": 535
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.6365,
+      "step": 536
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.8377,
+      "step": 537
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.5699,
+      "step": 538
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 1.0938,
+      "step": 539
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.2896,
+      "step": 540
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 1.2605,
+      "step": 541
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.5222,
+      "step": 542
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.327,
+      "step": 543
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.7968,
+      "step": 544
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.646,
+      "step": 545
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.8071,
+      "step": 546
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.3894,
+      "step": 547
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 0.0004,
+      "loss": 0.4803,
+      "step": 548
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.3228,
+      "step": 549
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 1.3897,
+      "step": 550
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.1901,
+      "step": 551
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.321,
+      "step": 552
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.8044,
+      "step": 553
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.8365,
+      "step": 554
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.7818,
+      "step": 555
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.4648,
+      "step": 556
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.5499,
+      "step": 557
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.7847,
+      "step": 558
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.7892,
+      "step": 559
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.8517,
+      "step": 560
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.7914,
+      "step": 561
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 0.0004,
+      "loss": 0.893,
+      "step": 562
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.8116,
+      "step": 563
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.8543,
+      "step": 564
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.8607,
+      "step": 565
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.6274,
+      "step": 566
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.7551,
+      "step": 567
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.7328,
+      "step": 568
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.7561,
+      "step": 569
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.7465,
+      "step": 570
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.697,
+      "step": 571
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.8938,
+      "step": 572
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.8216,
+      "step": 573
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.5859,
+      "step": 574
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.4194,
+      "step": 575
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 0.0004,
+      "loss": 0.603,
+      "step": 576
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.6666,
+      "step": 577
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.4037,
+      "step": 578
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.6723,
+      "step": 579
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.5837,
+      "step": 580
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.534,
+      "step": 581
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.44,
+      "step": 582
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.8701,
+      "step": 583
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.6575,
+      "step": 584
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.3981,
+      "step": 585
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.4929,
+      "step": 586
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.6346,
+      "step": 587
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.88,
+      "step": 588
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.3083,
+      "step": 589
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.741,
+      "step": 590
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 0.0004,
+      "loss": 0.3114,
+      "step": 591
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.1633,
+      "step": 592
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 1.5786,
+      "step": 593
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.9141,
+      "step": 594
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.4553,
+      "step": 595
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.4153,
+      "step": 596
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.8077,
+      "step": 597
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.5165,
+      "step": 598
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 1.2809,
+      "step": 599
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.1944,
+      "step": 600
+    },
+    {
+      "epoch": 0.42,
+      "eval_loss": 0.6178187727928162,
+      "eval_runtime": 262.0082,
+      "eval_samples_per_second": 1.908,
+      "eval_steps_per_second": 0.954,
+      "step": 600
+    },
+    {
+      "epoch": 0.42,
+      "mmlu_eval_accuracy": 0.3933105593085208,
+      "mmlu_eval_accuracy_abstract_algebra": 0.18181818181818182,
+      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
+      "mmlu_eval_accuracy_astronomy": 0.5,
+      "mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
+      "mmlu_eval_accuracy_college_biology": 0.4375,
+      "mmlu_eval_accuracy_college_chemistry": 0.25,
+      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
+      "mmlu_eval_accuracy_college_mathematics": 0.09090909090909091,
+      "mmlu_eval_accuracy_college_medicine": 0.5,
+      "mmlu_eval_accuracy_college_physics": 0.6363636363636364,
+      "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
+      "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
+      "mmlu_eval_accuracy_econometrics": 0.3333333333333333,
+      "mmlu_eval_accuracy_electrical_engineering": 0.5,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.21951219512195122,
+      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
+      "mmlu_eval_accuracy_global_facts": 0.3,
+      "mmlu_eval_accuracy_high_school_biology": 0.3125,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
+      "mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
+      "mmlu_eval_accuracy_high_school_geography": 0.7272727272727273,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.42857142857142855,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.42857142857142855,
+      "mmlu_loss": 0.770003160238266,
+      "step": 600
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.2039,
+      "step": 601
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.3086,
+      "step": 602
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.4326,
+      "step": 603
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.8444,
+      "step": 604
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 0.0004,
+      "loss": 0.6902,
+      "step": 605
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.8338,
+      "step": 606
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.9103,
+      "step": 607
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.9047,
+      "step": 608
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.82,
+      "step": 609
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.4912,
+      "step": 610
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.414,
+      "step": 611
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.735,
+      "step": 612
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.7284,
+      "step": 613
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.5756,
+      "step": 614
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.7305,
+      "step": 615
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.5331,
+      "step": 616
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.6001,
+      "step": 617
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.3613,
+      "step": 618
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 0.0004,
+      "loss": 0.6111,
+      "step": 619
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.3517,
+      "step": 620
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.7228,
+      "step": 621
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.512,
+      "step": 622
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.4729,
+      "step": 623
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.6152,
+      "step": 624
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.6118,
+      "step": 625
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.9996,
+      "step": 626
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.2561,
+      "step": 627
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.375,
+      "step": 628
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.5303,
+      "step": 629
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.3277,
+      "step": 630
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.286,
+      "step": 631
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.4288,
+      "step": 632
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 0.0004,
+      "loss": 0.652,
+      "step": 633
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.6116,
+      "step": 634
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.9324,
+      "step": 635
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.4822,
+      "step": 636
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.6417,
+      "step": 637
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.4586,
+      "step": 638
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.2927,
+      "step": 639
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.7887,
+      "step": 640
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.6607,
+      "step": 641
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.3745,
+      "step": 642
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.4677,
+      "step": 643
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.5891,
+      "step": 644
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.3206,
+      "step": 645
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.4792,
+      "step": 646
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.4851,
+      "step": 647
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 0.0004,
+      "loss": 0.7103,
+      "step": 648
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.5212,
+      "step": 649
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.2019,
+      "step": 650
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.084,
+      "step": 651
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.4259,
+      "step": 652
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.7373,
+      "step": 653
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.8373,
+      "step": 654
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.887,
+      "step": 655
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.913,
+      "step": 656
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.9228,
+      "step": 657
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.7886,
+      "step": 658
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.8073,
+      "step": 659
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.7421,
+      "step": 660
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 1.0695,
+      "step": 661
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 0.0004,
+      "loss": 0.719,
+      "step": 662
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.8423,
+      "step": 663
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.6688,
+      "step": 664
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.412,
+      "step": 665
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.7414,
+      "step": 666
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.7357,
+      "step": 667
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.5231,
+      "step": 668
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.6011,
+      "step": 669
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.4634,
+      "step": 670
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.2916,
+      "step": 671
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.9223,
+      "step": 672
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.8498,
+      "step": 673
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.6754,
+      "step": 674
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.5132,
+      "step": 675
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 0.0004,
+      "loss": 0.6087,
+      "step": 676
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.7169,
+      "step": 677
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.4727,
+      "step": 678
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.8692,
+      "step": 679
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.1934,
+      "step": 680
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.2617,
+      "step": 681
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.6538,
+      "step": 682
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.3225,
+      "step": 683
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.7903,
+      "step": 684
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.6982,
+      "step": 685
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.3023,
+      "step": 686
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.5437,
+      "step": 687
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.2446,
+      "step": 688
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.4276,
+      "step": 689
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 0.0004,
+      "loss": 0.5117,
+      "step": 690
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.7232,
+      "step": 691
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.2523,
+      "step": 692
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.4367,
+      "step": 693
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.2121,
+      "step": 694
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.384,
+      "step": 695
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.4618,
+      "step": 696
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.3786,
+      "step": 697
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.3153,
+      "step": 698
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 1.2427,
+      "step": 699
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 2.3096,
+      "step": 700
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.128,
+      "step": 701
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.2697,
+      "step": 702
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.3647,
+      "step": 703
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.7612,
+      "step": 704
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 0.0004,
+      "loss": 0.9207,
+      "step": 705
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.6071,
+      "step": 706
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.7884,
+      "step": 707
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.9419,
+      "step": 708
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.7632,
+      "step": 709
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.7119,
+      "step": 710
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.696,
+      "step": 711
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.6528,
+      "step": 712
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.9004,
+      "step": 713
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.6225,
+      "step": 714
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.766,
+      "step": 715
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.8218,
+      "step": 716
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.6443,
+      "step": 717
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.6947,
+      "step": 718
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 0.0004,
+      "loss": 0.5489,
+      "step": 719
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.5443,
+      "step": 720
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.3092,
+      "step": 721
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.6232,
+      "step": 722
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.473,
+      "step": 723
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.4059,
+      "step": 724
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.7054,
+      "step": 725
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.4207,
+      "step": 726
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.7167,
+      "step": 727
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.9212,
+      "step": 728
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.428,
+      "step": 729
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.5357,
+      "step": 730
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.5664,
+      "step": 731
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 0.9507,
+      "step": 732
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 0.0004,
+      "loss": 1.1244,
+      "step": 733
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.5503,
+      "step": 734
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.259,
+      "step": 735
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 1.298,
+      "step": 736
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.3772,
+      "step": 737
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 1.0177,
+      "step": 738
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 1.0031,
+      "step": 739
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.8615,
+      "step": 740
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.4476,
+      "step": 741
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 1.4852,
+      "step": 742
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.5538,
+      "step": 743
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.5481,
+      "step": 744
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 1.0126,
+      "step": 745
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.5887,
+      "step": 746
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 0.0004,
+      "loss": 0.4874,
+      "step": 747
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.685,
+      "step": 748
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.4105,
+      "step": 749
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.956,
+      "step": 750
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.1461,
+      "step": 751
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.1716,
+      "step": 752
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.2236,
+      "step": 753
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.5039,
+      "step": 754
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.5399,
+      "step": 755
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.8579,
+      "step": 756
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.8438,
+      "step": 757
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.6915,
+      "step": 758
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.9139,
+      "step": 759
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.7129,
+      "step": 760
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.7473,
+      "step": 761
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 0.0004,
+      "loss": 0.8594,
+      "step": 762
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.5555,
+      "step": 763
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.9835,
+      "step": 764
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.5186,
+      "step": 765
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.8268,
+      "step": 766
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.7523,
+      "step": 767
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.5537,
+      "step": 768
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.5165,
+      "step": 769
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.6995,
+      "step": 770
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.785,
+      "step": 771
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.8304,
+      "step": 772
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.672,
+      "step": 773
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.785,
+      "step": 774
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.6968,
+      "step": 775
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 0.0004,
+      "loss": 0.6106,
+      "step": 776
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.6045,
+      "step": 777
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.4182,
+      "step": 778
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 1.0079,
+      "step": 779
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.2465,
+      "step": 780
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.2605,
+      "step": 781
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 1.2797,
+      "step": 782
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.1785,
+      "step": 783
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.5563,
+      "step": 784
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.395,
+      "step": 785
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.256,
+      "step": 786
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 1.0868,
+      "step": 787
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.3505,
+      "step": 788
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.4305,
+      "step": 789
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 0.0004,
+      "loss": 0.7121,
+      "step": 790
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.6441,
+      "step": 791
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 1.2003,
+      "step": 792
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.3511,
+      "step": 793
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.606,
+      "step": 794
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 1.3632,
+      "step": 795
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.5291,
+      "step": 796
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 1.0989,
+      "step": 797
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 1.6083,
+      "step": 798
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.4116,
+      "step": 799
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 2.924,
+      "step": 800
+    },
+    {
+      "epoch": 0.56,
+      "eval_loss": 0.6417471766471863,
+      "eval_runtime": 262.0155,
+      "eval_samples_per_second": 1.908,
+      "eval_steps_per_second": 0.954,
+      "step": 800
+    },
+    {
+      "epoch": 0.56,
+      "mmlu_eval_accuracy": 0.30538545442719256,
+      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
+      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
+      "mmlu_eval_accuracy_astronomy": 0.25,
+      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.41379310344827586,
+      "mmlu_eval_accuracy_college_biology": 0.375,
+      "mmlu_eval_accuracy_college_chemistry": 0.125,
+      "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091,
+      "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
+      "mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
+      "mmlu_eval_accuracy_college_physics": 0.2727272727272727,
+      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
+      "mmlu_eval_accuracy_conceptual_physics": 0.23076923076923078,
+      "mmlu_eval_accuracy_econometrics": 0.25,
+      "mmlu_eval_accuracy_electrical_engineering": 0.1875,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
+      "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
+      "mmlu_eval_accuracy_global_facts": 0.2,
+      "mmlu_eval_accuracy_high_school_biology": 0.25,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.18181818181818182,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
+      "mmlu_eval_accuracy_high_school_european_history": 0.5,
+      "mmlu_eval_accuracy_high_school_geography": 0.6363636363636364,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.19047619047619047,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.27906976744186046,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.35714285714285715,
+      "mmlu_loss": 1.06649634963274,
+      "step": 800
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.3342,
+      "step": 801
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.403,
+      "step": 802
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.525,
+      "step": 803
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 0.0004,
+      "loss": 0.4384,
+      "step": 804
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 2.1165,
+      "step": 805
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.6357,
+      "step": 806
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8001,
+      "step": 807
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8867,
+      "step": 808
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.9335,
+      "step": 809
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.5799,
+      "step": 810
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8978,
+      "step": 811
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8002,
+      "step": 812
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8444,
+      "step": 813
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8727,
+      "step": 814
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.7608,
+      "step": 815
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.6937,
+      "step": 816
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.4899,
+      "step": 817
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.655,
+      "step": 818
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 0.0004,
+      "loss": 0.8038,
+      "step": 819
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.5451,
+      "step": 820
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 1.2012,
+      "step": 821
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.3971,
+      "step": 822
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.3928,
+      "step": 823
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.2833,
+      "step": 824
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.4913,
+      "step": 825
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.3772,
+      "step": 826
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.714,
+      "step": 827
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.4023,
+      "step": 828
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.633,
+      "step": 829
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.3141,
+      "step": 830
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.4716,
+      "step": 831
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.3983,
+      "step": 832
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 0.0004,
+      "loss": 0.2375,
+      "step": 833
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.375,
+      "step": 834
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.4347,
+      "step": 835
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 1.9594,
+      "step": 836
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.3025,
+      "step": 837
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.6105,
+      "step": 838
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.6737,
+      "step": 839
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.4223,
+      "step": 840
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.5873,
+      "step": 841
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.727,
+      "step": 842
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.5712,
+      "step": 843
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 1.0627,
+      "step": 844
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.3005,
+      "step": 845
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.4506,
+      "step": 846
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 0.0004,
+      "loss": 0.4797,
+      "step": 847
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.4686,
+      "step": 848
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.2213,
+      "step": 849
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.8648,
+      "step": 850
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.2103,
+      "step": 851
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.4139,
+      "step": 852
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.1546,
+      "step": 853
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.1155,
+      "step": 854
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.625,
+      "step": 855
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.8956,
+      "step": 856
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.7037,
+      "step": 857
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.8418,
+      "step": 858
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.6672,
+      "step": 859
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.8433,
+      "step": 860
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 0.0004,
+      "loss": 0.7895,
+      "step": 861
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.7541,
+      "step": 862
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.7261,
+      "step": 863
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.6541,
+      "step": 864
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.7801,
+      "step": 865
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.7632,
+      "step": 866
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.3367,
+      "step": 867
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.925,
+      "step": 868
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.5,
+      "step": 869
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.644,
+      "step": 870
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.5403,
+      "step": 871
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.7117,
+      "step": 872
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.5514,
+      "step": 873
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.5432,
+      "step": 874
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.6386,
+      "step": 875
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 0.0004,
+      "loss": 0.8542,
+      "step": 876
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.5486,
+      "step": 877
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.4173,
+      "step": 878
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.5841,
+      "step": 879
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.48,
+      "step": 880
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.3887,
+      "step": 881
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.2361,
+      "step": 882
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.4635,
+      "step": 883
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.3724,
+      "step": 884
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.3429,
+      "step": 885
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.1864,
+      "step": 886
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 1.0825,
+      "step": 887
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.8833,
+      "step": 888
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 0.6354,
+      "step": 889
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 0.0004,
+      "loss": 1.1362,
+      "step": 890
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.6212,
+      "step": 891
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 1.0072,
+      "step": 892
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.4585,
+      "step": 893
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.5292,
+      "step": 894
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.578,
+      "step": 895
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.5296,
+      "step": 896
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.1166,
+      "step": 897
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 1.0426,
+      "step": 898
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.3109,
+      "step": 899
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 1.5721,
+      "step": 900
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.3905,
+      "step": 901
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.1533,
+      "step": 902
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.214,
+      "step": 903
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 0.0004,
+      "loss": 0.7675,
+      "step": 904
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.7776,
+      "step": 905
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.8972,
+      "step": 906
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.9331,
+      "step": 907
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.7464,
+      "step": 908
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.7094,
+      "step": 909
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.8942,
+      "step": 910
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.8436,
+      "step": 911
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.8331,
+      "step": 912
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.5505,
+      "step": 913
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.4096,
+      "step": 914
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.4566,
+      "step": 915
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.6529,
+      "step": 916
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.4911,
+      "step": 917
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 0.0004,
+      "loss": 0.4905,
+      "step": 918
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.7721,
+      "step": 919
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.7032,
+      "step": 920
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.6081,
+      "step": 921
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.7841,
+      "step": 922
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.6164,
+      "step": 923
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.6198,
+      "step": 924
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.5534,
+      "step": 925
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.9022,
+      "step": 926
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.2717,
+      "step": 927
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.7298,
+      "step": 928
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.7003,
+      "step": 929
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.5087,
+      "step": 930
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.5762,
+      "step": 931
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.4049,
+      "step": 932
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 0.0004,
+      "loss": 0.3152,
+      "step": 933
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.7488,
+      "step": 934
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.1635,
+      "step": 935
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.4921,
+      "step": 936
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.3392,
+      "step": 937
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.5501,
+      "step": 938
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.7825,
+      "step": 939
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.5922,
+      "step": 940
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 1.0295,
+      "step": 941
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.4026,
+      "step": 942
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.5983,
+      "step": 943
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 1.1622,
+      "step": 944
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.58,
+      "step": 945
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 0.3097,
+      "step": 946
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 0.0004,
+      "loss": 1.2314,
+      "step": 947
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.404,
+      "step": 948
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.3989,
+      "step": 949
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.2975,
+      "step": 950
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.3987,
+      "step": 951
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.1746,
+      "step": 952
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 1.0329,
+      "step": 953
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.5963,
+      "step": 954
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.8642,
+      "step": 955
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.7199,
+      "step": 956
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.7995,
+      "step": 957
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.9483,
+      "step": 958
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.8768,
+      "step": 959
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.7032,
+      "step": 960
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 0.0004,
+      "loss": 0.773,
+      "step": 961
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.7956,
+      "step": 962
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.7093,
+      "step": 963
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.7432,
+      "step": 964
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.8717,
+      "step": 965
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.472,
+      "step": 966
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.7872,
+      "step": 967
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.8238,
+      "step": 968
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.4689,
+      "step": 969
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.5136,
+      "step": 970
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.4863,
+      "step": 971
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.6755,
+      "step": 972
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.463,
+      "step": 973
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.5894,
+      "step": 974
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 0.0004,
+      "loss": 0.4749,
+      "step": 975
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.644,
+      "step": 976
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.8176,
+      "step": 977
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.6255,
+      "step": 978
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.5182,
+      "step": 979
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.4552,
+      "step": 980
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.4505,
+      "step": 981
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.8373,
+      "step": 982
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.5285,
+      "step": 983
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 1.0748,
+      "step": 984
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.5467,
+      "step": 985
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.7294,
+      "step": 986
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.6341,
+      "step": 987
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.2867,
+      "step": 988
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 1.2924,
+      "step": 989
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 0.0004,
+      "loss": 0.4195,
+      "step": 990
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.5777,
+      "step": 991
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 1.6128,
+      "step": 992
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.187,
+      "step": 993
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.3625,
+      "step": 994
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.2464,
+      "step": 995
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.6021,
+      "step": 996
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.5822,
+      "step": 997
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 1.3364,
+      "step": 998
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.2851,
+      "step": 999
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.5591,
+      "step": 1000
+    },
+    {
+      "epoch": 0.7,
+      "eval_loss": 0.6062986850738525,
+      "eval_runtime": 261.9741,
+      "eval_samples_per_second": 1.909,
+      "eval_steps_per_second": 0.954,
+      "step": 1000
+    },
+    {
+      "epoch": 0.7,
+      "mmlu_eval_accuracy": 0.2696631261532825,
+      "mmlu_eval_accuracy_abstract_algebra": 0.36363636363636365,
+      "mmlu_eval_accuracy_anatomy": 0.42857142857142855,
+      "mmlu_eval_accuracy_astronomy": 0.25,
+      "mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.3793103448275862,
+      "mmlu_eval_accuracy_college_biology": 0.25,
+      "mmlu_eval_accuracy_college_chemistry": 0.125,
+      "mmlu_eval_accuracy_college_computer_science": 0.09090909090909091,
+      "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
+      "mmlu_eval_accuracy_college_medicine": 0.22727272727272727,
+      "mmlu_eval_accuracy_college_physics": 0.18181818181818182,
+      "mmlu_eval_accuracy_computer_security": 0.2727272727272727,
+      "mmlu_eval_accuracy_conceptual_physics": 0.23076923076923078,
+      "mmlu_eval_accuracy_econometrics": 0.25,
+      "mmlu_eval_accuracy_electrical_engineering": 0.1875,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.24390243902439024,
+      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
+      "mmlu_eval_accuracy_global_facts": 0.2,
+      "mmlu_eval_accuracy_high_school_biology": 0.1875,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.13636363636363635,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
+      "mmlu_eval_accuracy_high_school_european_history": 0.3333333333333333,
+      "mmlu_eval_accuracy_high_school_geography": 0.5909090909090909,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.09523809523809523,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.32558139534883723,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.35714285714285715,
+      "mmlu_loss": 0.8371138982176781,
+      "step": 1000
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.2568,
+      "step": 1001
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.2256,
+      "step": 1002
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.1923,
+      "step": 1003
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 0.0004,
+      "loss": 0.8292,
+      "step": 1004
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.7634,
+      "step": 1005
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.8455,
+      "step": 1006
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.9398,
+      "step": 1007
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.8622,
+      "step": 1008
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.6987,
+      "step": 1009
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.5708,
+      "step": 1010
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.889,
+      "step": 1011
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.754,
+      "step": 1012
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.7802,
+      "step": 1013
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.8057,
+      "step": 1014
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.7057,
+      "step": 1015
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.5939,
+      "step": 1016
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.9458,
+      "step": 1017
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 0.0004,
+      "loss": 0.4199,
+      "step": 1018
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6285,
+      "step": 1019
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.5437,
+      "step": 1020
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.7155,
+      "step": 1021
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.5762,
+      "step": 1022
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6708,
+      "step": 1023
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6386,
+      "step": 1024
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6075,
+      "step": 1025
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6806,
+      "step": 1026
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.5212,
+      "step": 1027
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.4784,
+      "step": 1028
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.2564,
+      "step": 1029
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.6152,
+      "step": 1030
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.3457,
+      "step": 1031
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 0.0004,
+      "loss": 0.5407,
+      "step": 1032
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.4891,
+      "step": 1033
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.5085,
+      "step": 1034
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.2077,
+      "step": 1035
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.4229,
+      "step": 1036
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.6036,
+      "step": 1037
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.5033,
+      "step": 1038
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.3658,
+      "step": 1039
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.7938,
+      "step": 1040
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.4784,
+      "step": 1041
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.475,
+      "step": 1042
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.3961,
+      "step": 1043
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.5404,
+      "step": 1044
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.3528,
+      "step": 1045
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.3864,
+      "step": 1046
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 0.0004,
+      "loss": 0.5713,
+      "step": 1047
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.9218,
+      "step": 1048
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.9482,
+      "step": 1049
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8584,
+      "step": 1050
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.2274,
+      "step": 1051
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.9419,
+      "step": 1052
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.6805,
+      "step": 1053
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8443,
+      "step": 1054
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8746,
+      "step": 1055
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8156,
+      "step": 1056
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.7459,
+      "step": 1057
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8752,
+      "step": 1058
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.7534,
+      "step": 1059
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8391,
+      "step": 1060
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 0.0004,
+      "loss": 0.8513,
+      "step": 1061
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.8419,
+      "step": 1062
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.491,
+      "step": 1063
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.7671,
+      "step": 1064
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.912,
+      "step": 1065
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.3856,
+      "step": 1066
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.5201,
+      "step": 1067
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.54,
+      "step": 1068
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.4883,
+      "step": 1069
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.6604,
+      "step": 1070
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.8023,
+      "step": 1071
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.8695,
+      "step": 1072
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.7843,
+      "step": 1073
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.4502,
+      "step": 1074
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 0.0004,
+      "loss": 0.6346,
+      "step": 1075
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.9306,
+      "step": 1076
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.5691,
+      "step": 1077
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.6568,
+      "step": 1078
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.7103,
+      "step": 1079
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.9179,
+      "step": 1080
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.3694,
+      "step": 1081
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.4531,
+      "step": 1082
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 1.2981,
+      "step": 1083
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 1.3878,
+      "step": 1084
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.5209,
+      "step": 1085
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 1.1522,
+      "step": 1086
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.2509,
+      "step": 1087
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 1.4895,
+      "step": 1088
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 0.0004,
+      "loss": 0.8326,
+      "step": 1089
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.53,
+      "step": 1090
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.4127,
+      "step": 1091
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 1.2986,
+      "step": 1092
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.4335,
+      "step": 1093
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.7598,
+      "step": 1094
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.9294,
+      "step": 1095
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.7546,
+      "step": 1096
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.5667,
+      "step": 1097
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.444,
+      "step": 1098
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.4992,
+      "step": 1099
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 1.4161,
+      "step": 1100
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.1406,
+      "step": 1101
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.1881,
+      "step": 1102
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 0.0004,
+      "loss": 0.1375,
+      "step": 1103
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.3047,
+      "step": 1104
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.1846,
+      "step": 1105
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.3801,
+      "step": 1106
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.9691,
+      "step": 1107
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.7683,
+      "step": 1108
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.8054,
+      "step": 1109
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.8484,
+      "step": 1110
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.84,
+      "step": 1111
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.6551,
+      "step": 1112
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.5611,
+      "step": 1113
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.7925,
+      "step": 1114
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.5565,
+      "step": 1115
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.5667,
+      "step": 1116
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.5563,
+      "step": 1117
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 0.0004,
+      "loss": 0.5991,
+      "step": 1118
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.8101,
+      "step": 1119
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.5182,
+      "step": 1120
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.5591,
+      "step": 1121
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.8661,
+      "step": 1122
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.518,
+      "step": 1123
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.3308,
+      "step": 1124
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.2169,
+      "step": 1125
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.7888,
+      "step": 1126
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.9938,
+      "step": 1127
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.6998,
+      "step": 1128
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.3947,
+      "step": 1129
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.2432,
+      "step": 1130
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 1.0518,
+      "step": 1131
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 0.0004,
+      "loss": 0.4578,
+      "step": 1132
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.6499,
+      "step": 1133
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.5507,
+      "step": 1134
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.5031,
+      "step": 1135
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.8217,
+      "step": 1136
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.9918,
+      "step": 1137
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.6194,
+      "step": 1138
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.3885,
+      "step": 1139
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.514,
+      "step": 1140
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.6231,
+      "step": 1141
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.3778,
+      "step": 1142
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.5501,
+      "step": 1143
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 1.0975,
+      "step": 1144
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.3143,
+      "step": 1145
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 0.0004,
+      "loss": 0.5101,
+      "step": 1146
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.3943,
+      "step": 1147
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 1.0746,
+      "step": 1148
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.2978,
+      "step": 1149
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.342,
+      "step": 1150
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.1872,
+      "step": 1151
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.2124,
+      "step": 1152
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.2549,
+      "step": 1153
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.1347,
+      "step": 1154
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.8295,
+      "step": 1155
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.7941,
+      "step": 1156
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.3214,
+      "step": 1157
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.8334,
+      "step": 1158
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.7792,
+      "step": 1159
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 0.0004,
+      "loss": 0.6914,
+      "step": 1160
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.9085,
+      "step": 1161
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.8467,
+      "step": 1162
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.7527,
+      "step": 1163
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.7065,
+      "step": 1164
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.5496,
+      "step": 1165
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.747,
+      "step": 1166
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.9068,
+      "step": 1167
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.5662,
+      "step": 1168
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.8689,
+      "step": 1169
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.8347,
+      "step": 1170
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.3442,
+      "step": 1171
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.375,
+      "step": 1172
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.6623,
+      "step": 1173
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.8362,
+      "step": 1174
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 0.0004,
+      "loss": 0.7407,
+      "step": 1175
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.4577,
+      "step": 1176
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.4128,
+      "step": 1177
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.5529,
+      "step": 1178
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.385,
+      "step": 1179
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.7016,
+      "step": 1180
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.3416,
+      "step": 1181
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.3132,
+      "step": 1182
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.4332,
+      "step": 1183
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.4828,
+      "step": 1184
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.2299,
+      "step": 1185
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.8477,
+      "step": 1186
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.3425,
+      "step": 1187
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 1.0418,
+      "step": 1188
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 0.0004,
+      "loss": 0.7957,
+      "step": 1189
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.2999,
+      "step": 1190
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.4034,
+      "step": 1191
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.6535,
+      "step": 1192
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.9691,
+      "step": 1193
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.559,
+      "step": 1194
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 1.8883,
+      "step": 1195
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.1952,
+      "step": 1196
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.4336,
+      "step": 1197
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.6651,
+      "step": 1198
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.7694,
+      "step": 1199
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.3228,
+      "step": 1200
+    },
+    {
+      "epoch": 0.84,
+      "eval_loss": 0.6253868341445923,
+      "eval_runtime": 261.8289,
+      "eval_samples_per_second": 1.91,
+      "eval_steps_per_second": 0.955,
+      "step": 1200
+    },
+    {
+      "epoch": 0.84,
+      "mmlu_eval_accuracy": 0.3628458989343948,
+      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
+      "mmlu_eval_accuracy_anatomy": 0.42857142857142855,
+      "mmlu_eval_accuracy_astronomy": 0.3125,
+      "mmlu_eval_accuracy_business_ethics": 0.36363636363636365,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.3793103448275862,
+      "mmlu_eval_accuracy_college_biology": 0.3125,
+      "mmlu_eval_accuracy_college_chemistry": 0.375,
+      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
+      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
+      "mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
+      "mmlu_eval_accuracy_college_physics": 0.6363636363636364,
+      "mmlu_eval_accuracy_computer_security": 0.18181818181818182,
+      "mmlu_eval_accuracy_conceptual_physics": 0.4230769230769231,
+      "mmlu_eval_accuracy_econometrics": 0.25,
+      "mmlu_eval_accuracy_electrical_engineering": 0.5,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
+      "mmlu_eval_accuracy_formal_logic": 0.35714285714285715,
+      "mmlu_eval_accuracy_global_facts": 0.4,
+      "mmlu_eval_accuracy_high_school_biology": 0.40625,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.3333333333333333,
+      "mmlu_eval_accuracy_high_school_european_history": 0.2222222222222222,
+      "mmlu_eval_accuracy_high_school_geography": 0.6363636363636364,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.42857142857142855,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.06896551724137931,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.35714285714285715,
+      "mmlu_loss": 0.8975866470783949,
+      "step": 1200
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.1743,
+      "step": 1201
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.6816,
+      "step": 1202
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 0.0004,
+      "loss": 0.5607,
+      "step": 1203
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.8083,
+      "step": 1204
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.7387,
+      "step": 1205
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.7967,
+      "step": 1206
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.827,
+      "step": 1207
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.7406,
+      "step": 1208
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.5886,
+      "step": 1209
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.6724,
+      "step": 1210
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.6053,
+      "step": 1211
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.9438,
+      "step": 1212
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.6901,
+      "step": 1213
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.4885,
+      "step": 1214
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.8167,
+      "step": 1215
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.6622,
+      "step": 1216
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 0.0004,
+      "loss": 0.7829,
+      "step": 1217
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.8169,
+      "step": 1218
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.9069,
+      "step": 1219
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.6293,
+      "step": 1220
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.7289,
+      "step": 1221
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.3815,
+      "step": 1222
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.7074,
+      "step": 1223
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.4564,
+      "step": 1224
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.9812,
+      "step": 1225
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.5978,
+      "step": 1226
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.5474,
+      "step": 1227
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.1875,
+      "step": 1228
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.6129,
+      "step": 1229
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.4693,
+      "step": 1230
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.2681,
+      "step": 1231
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 0.0004,
+      "loss": 0.3581,
+      "step": 1232
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.4277,
+      "step": 1233
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.2964,
+      "step": 1234
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.5602,
+      "step": 1235
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.3279,
+      "step": 1236
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.6986,
+      "step": 1237
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.291,
+      "step": 1238
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.4765,
+      "step": 1239
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.9116,
+      "step": 1240
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.3427,
+      "step": 1241
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.9017,
+      "step": 1242
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 1.1634,
+      "step": 1243
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.8345,
+      "step": 1244
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.2204,
+      "step": 1245
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 0.0004,
+      "loss": 0.3808,
+      "step": 1246
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.4921,
+      "step": 1247
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.562,
+      "step": 1248
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.5004,
+      "step": 1249
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.4646,
+      "step": 1250
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.1831,
+      "step": 1251
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.3017,
+      "step": 1252
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.6987,
+      "step": 1253
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.2869,
+      "step": 1254
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.9395,
+      "step": 1255
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.8322,
+      "step": 1256
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.3549,
+      "step": 1257
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.8554,
+      "step": 1258
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.6045,
+      "step": 1259
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 0.0004,
+      "loss": 0.7583,
+      "step": 1260
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.711,
+      "step": 1261
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.8744,
+      "step": 1262
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.7213,
+      "step": 1263
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.9005,
+      "step": 1264
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.7734,
+      "step": 1265
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.8033,
+      "step": 1266
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.4265,
+      "step": 1267
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.4348,
+      "step": 1268
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.6604,
+      "step": 1269
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.9578,
+      "step": 1270
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 1.1409,
+      "step": 1271
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.5768,
+      "step": 1272
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.6744,
+      "step": 1273
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 0.0004,
+      "loss": 0.6866,
+      "step": 1274
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 1.0161,
+      "step": 1275
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.4803,
+      "step": 1276
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.4551,
+      "step": 1277
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.7931,
+      "step": 1278
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.6463,
+      "step": 1279
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.3938,
+      "step": 1280
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.2272,
+      "step": 1281
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.6787,
+      "step": 1282
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.5137,
+      "step": 1283
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.5202,
+      "step": 1284
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 1.2892,
+      "step": 1285
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.548,
+      "step": 1286
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.5782,
+      "step": 1287
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.4953,
+      "step": 1288
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 0.0004,
+      "loss": 0.4502,
+      "step": 1289
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.5294,
+      "step": 1290
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 1.0318,
+      "step": 1291
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.6995,
+      "step": 1292
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.9352,
+      "step": 1293
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.4961,
+      "step": 1294
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.7605,
+      "step": 1295
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.3933,
+      "step": 1296
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.5961,
+      "step": 1297
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.7016,
+      "step": 1298
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.912,
+      "step": 1299
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.6619,
+      "step": 1300
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.2071,
+      "step": 1301
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.1415,
+      "step": 1302
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 0.0004,
+      "loss": 0.6498,
+      "step": 1303
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.4005,
+      "step": 1304
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.8573,
+      "step": 1305
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.812,
+      "step": 1306
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.8208,
+      "step": 1307
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.7794,
+      "step": 1308
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.857,
+      "step": 1309
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.9111,
+      "step": 1310
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.8711,
+      "step": 1311
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.7179,
+      "step": 1312
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.7123,
+      "step": 1313
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.7376,
+      "step": 1314
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.4265,
+      "step": 1315
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.8858,
+      "step": 1316
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 0.0004,
+      "loss": 0.5913,
+      "step": 1317
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.4801,
+      "step": 1318
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.3882,
+      "step": 1319
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.6328,
+      "step": 1320
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.3935,
+      "step": 1321
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.5347,
+      "step": 1322
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.286,
+      "step": 1323
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.533,
+      "step": 1324
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.5512,
+      "step": 1325
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.4157,
+      "step": 1326
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.8734,
+      "step": 1327
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.9141,
+      "step": 1328
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.9479,
+      "step": 1329
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.7035,
+      "step": 1330
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 0.0004,
+      "loss": 0.5056,
+      "step": 1331
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.4605,
+      "step": 1332
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.5488,
+      "step": 1333
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 1.3185,
+      "step": 1334
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 1.4072,
+      "step": 1335
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.7788,
+      "step": 1336
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.1447,
+      "step": 1337
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.5009,
+      "step": 1338
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.4734,
+      "step": 1339
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.5158,
+      "step": 1340
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.2823,
+      "step": 1341
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 1.7664,
+      "step": 1342
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.3799,
+      "step": 1343
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.7159,
+      "step": 1344
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 0.4461,
+      "step": 1345
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 0.0004,
+      "loss": 1.0385,
+      "step": 1346
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.9339,
+      "step": 1347
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.276,
+      "step": 1348
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.6796,
+      "step": 1349
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 2.0265,
+      "step": 1350
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.1967,
+      "step": 1351
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.2995,
+      "step": 1352
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.4029,
+      "step": 1353
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.7888,
+      "step": 1354
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.8218,
+      "step": 1355
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.733,
+      "step": 1356
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.8401,
+      "step": 1357
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.9573,
+      "step": 1358
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.7701,
+      "step": 1359
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 0.0004,
+      "loss": 0.8522,
+      "step": 1360
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.6962,
+      "step": 1361
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.8918,
+      "step": 1362
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.8291,
+      "step": 1363
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.6959,
+      "step": 1364
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.7376,
+      "step": 1365
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.7284,
+      "step": 1366
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.8285,
+      "step": 1367
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.7935,
+      "step": 1368
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.1695,
+      "step": 1369
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.326,
+      "step": 1370
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.8143,
+      "step": 1371
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.7372,
+      "step": 1372
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.3449,
+      "step": 1373
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 0.0004,
+      "loss": 0.6834,
+      "step": 1374
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.8138,
+      "step": 1375
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.4452,
+      "step": 1376
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.4034,
+      "step": 1377
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.4019,
+      "step": 1378
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.7407,
+      "step": 1379
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.3779,
+      "step": 1380
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.411,
+      "step": 1381
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.5773,
+      "step": 1382
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.6099,
+      "step": 1383
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.777,
+      "step": 1384
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.6538,
+      "step": 1385
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.3722,
+      "step": 1386
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 1.5937,
+      "step": 1387
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 0.0004,
+      "loss": 0.327,
+      "step": 1388
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.6336,
+      "step": 1389
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.2354,
+      "step": 1390
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.2645,
+      "step": 1391
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.2908,
+      "step": 1392
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.4325,
+      "step": 1393
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.2703,
+      "step": 1394
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 1.1404,
+      "step": 1395
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.3881,
+      "step": 1396
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 1.0695,
+      "step": 1397
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.5117,
+      "step": 1398
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.4305,
+      "step": 1399
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 1.0432,
+      "step": 1400
+    },
+    {
+      "epoch": 0.98,
+      "eval_loss": 0.6039700508117676,
+      "eval_runtime": 261.9743,
+      "eval_samples_per_second": 1.909,
+      "eval_steps_per_second": 0.954,
+      "step": 1400
+    },
+    {
+      "epoch": 0.98,
+      "mmlu_eval_accuracy": 0.2685707889765786,
+      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
+      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
+      "mmlu_eval_accuracy_astronomy": 0.25,
+      "mmlu_eval_accuracy_business_ethics": 0.18181818181818182,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.3448275862068966,
+      "mmlu_eval_accuracy_college_biology": 0.375,
+      "mmlu_eval_accuracy_college_chemistry": 0.125,
+      "mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
+      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
+      "mmlu_eval_accuracy_college_medicine": 0.18181818181818182,
+      "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
+      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
+      "mmlu_eval_accuracy_conceptual_physics": 0.3076923076923077,
+      "mmlu_eval_accuracy_econometrics": 0.25,
+      "mmlu_eval_accuracy_electrical_engineering": 0.1875,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.2682926829268293,
+      "mmlu_eval_accuracy_formal_logic": 0.07142857142857142,
+      "mmlu_eval_accuracy_global_facts": 0.3,
+      "mmlu_eval_accuracy_high_school_biology": 0.40625,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.3333333333333333,
+      "mmlu_eval_accuracy_high_school_european_history": 0.2777777777777778,
+      "mmlu_eval_accuracy_high_school_geography": 0.45454545454545453,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.14285714285714285,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.20930232558139536,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.10344827586206896,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.21428571428571427,
+      "mmlu_loss": 0.9329393486976624,
+      "step": 1400
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.1008,
+      "step": 1401
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.8622,
+      "step": 1402
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 0.0004,
+      "loss": 0.824,
+      "step": 1403
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.7905,
+      "step": 1404
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.7081,
+      "step": 1405
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.6723,
+      "step": 1406
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.8331,
+      "step": 1407
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.4537,
+      "step": 1408
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 1.0326,
+      "step": 1409
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.5841,
+      "step": 1410
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.3543,
+      "step": 1411
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.5162,
+      "step": 1412
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.4088,
+      "step": 1413
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 1.0244,
+      "step": 1414
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.5694,
+      "step": 1415
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.5725,
+      "step": 1416
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 0.0004,
+      "loss": 0.6169,
+      "step": 1417
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.21,
+      "step": 1418
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.3279,
+      "step": 1419
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.4013,
+      "step": 1420
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.7457,
+      "step": 1421
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 1.0264,
+      "step": 1422
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.6207,
+      "step": 1423
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.1758,
+      "step": 1424
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.6153,
+      "step": 1425
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.1339,
+      "step": 1426
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.1799,
+      "step": 1427
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.0921,
+      "step": 1428
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.5441,
+      "step": 1429
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.6633,
+      "step": 1430
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0004,
+      "loss": 0.5029,
+      "step": 1431
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.7309,
+      "step": 1432
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.3367,
+      "step": 1433
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.6515,
+      "step": 1434
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.5197,
+      "step": 1435
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.619,
+      "step": 1436
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.5078,
+      "step": 1437
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.694,
+      "step": 1438
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.4567,
+      "step": 1439
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.6259,
+      "step": 1440
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.3665,
+      "step": 1441
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.7823,
+      "step": 1442
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.5632,
+      "step": 1443
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.4752,
+      "step": 1444
+    },
+    {
+      "epoch": 1.01,
+      "learning_rate": 0.0004,
+      "loss": 0.144,
+      "step": 1445
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.1895,
+      "step": 1446
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.6465,
+      "step": 1447
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3328,
+      "step": 1448
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.249,
+      "step": 1449
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.2817,
+      "step": 1450
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.1381,
+      "step": 1451
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.2751,
+      "step": 1452
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.1343,
+      "step": 1453
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.2988,
+      "step": 1454
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3597,
+      "step": 1455
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3396,
+      "step": 1456
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3548,
+      "step": 1457
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3077,
+      "step": 1458
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.3647,
+      "step": 1459
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 0.0004,
+      "loss": 0.36,
+      "step": 1460
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.4379,
+      "step": 1461
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.2236,
+      "step": 1462
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.1498,
+      "step": 1463
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.1466,
+      "step": 1464
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.2215,
+      "step": 1465
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.6021,
+      "step": 1466
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.3759,
+      "step": 1467
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.1917,
+      "step": 1468
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.6682,
+      "step": 1469
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.3403,
+      "step": 1470
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.2112,
+      "step": 1471
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.191,
+      "step": 1472
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.1696,
+      "step": 1473
+    },
+    {
+      "epoch": 1.03,
+      "learning_rate": 0.0004,
+      "loss": 0.1381,
+      "step": 1474
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5863,
+      "step": 1475
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.1988,
+      "step": 1476
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.118,
+      "step": 1477
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.1905,
+      "step": 1478
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.2293,
+      "step": 1479
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.7874,
+      "step": 1480
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.604,
+      "step": 1481
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.7774,
+      "step": 1482
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.6345,
+      "step": 1483
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5432,
+      "step": 1484
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.4688,
+      "step": 1485
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.3003,
+      "step": 1486
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 0.5342,
+      "step": 1487
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 0.0004,
+      "loss": 1.0727,
+      "step": 1488
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.5757,
+      "step": 1489
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.9071,
+      "step": 1490
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.3416,
+      "step": 1491
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.6551,
+      "step": 1492
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.5706,
+      "step": 1493
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.6314,
+      "step": 1494
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.3075,
+      "step": 1495
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.4266,
+      "step": 1496
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.2736,
+      "step": 1497
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.484,
+      "step": 1498
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.481,
+      "step": 1499
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.4488,
+      "step": 1500
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.4519,
+      "step": 1501
+    },
+    {
+      "epoch": 1.05,
+      "learning_rate": 0.0004,
+      "loss": 0.104,
+      "step": 1502
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.6287,
+      "step": 1503
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.8928,
+      "step": 1504
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.2621,
+      "step": 1505
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.1671,
+      "step": 1506
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.3018,
+      "step": 1507
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.2044,
+      "step": 1508
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.3761,
+      "step": 1509
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.6629,
+      "step": 1510
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.4316,
+      "step": 1511
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.604,
+      "step": 1512
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.2183,
+      "step": 1513
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.1533,
+      "step": 1514
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.2277,
+      "step": 1515
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.27,
+      "step": 1516
+    },
+    {
+      "epoch": 1.06,
+      "learning_rate": 0.0004,
+      "loss": 0.1822,
+      "step": 1517
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.7598,
+      "step": 1518
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.9697,
+      "step": 1519
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.4182,
+      "step": 1520
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.5511,
+      "step": 1521
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.254,
+      "step": 1522
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.1417,
+      "step": 1523
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.3965,
+      "step": 1524
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.7704,
+      "step": 1525
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.0824,
+      "step": 1526
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.2777,
+      "step": 1527
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.5894,
+      "step": 1528
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.3111,
+      "step": 1529
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.6391,
+      "step": 1530
+    },
+    {
+      "epoch": 1.07,
+      "learning_rate": 0.0004,
+      "loss": 0.6511,
+      "step": 1531
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5499,
+      "step": 1532
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5937,
+      "step": 1533
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6998,
+      "step": 1534
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4825,
+      "step": 1535
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5036,
+      "step": 1536
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5106,
+      "step": 1537
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.5183,
+      "step": 1538
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4524,
+      "step": 1539
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4344,
+      "step": 1540
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.6122,
+      "step": 1541
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4406,
+      "step": 1542
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4684,
+      "step": 1543
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 0.4944,
+      "step": 1544
+    },
+    {
+      "epoch": 1.08,
+      "learning_rate": 0.0004,
+      "loss": 1.0022,
+      "step": 1545
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3016,
+      "step": 1546
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2465,
+      "step": 1547
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3819,
+      "step": 1548
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3643,
+      "step": 1549
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2682,
+      "step": 1550
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.4018,
+      "step": 1551
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2784,
+      "step": 1552
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2179,
+      "step": 1553
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.4126,
+      "step": 1554
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.263,
+      "step": 1555
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.4679,
+      "step": 1556
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2468,
+      "step": 1557
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.2497,
+      "step": 1558
+    },
+    {
+      "epoch": 1.09,
+      "learning_rate": 0.0004,
+      "loss": 0.3128,
+      "step": 1559
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4184,
+      "step": 1560
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.2205,
+      "step": 1561
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.2776,
+      "step": 1562
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3908,
+      "step": 1563
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3154,
+      "step": 1564
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4719,
+      "step": 1565
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4776,
+      "step": 1566
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4879,
+      "step": 1567
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3918,
+      "step": 1568
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.3047,
+      "step": 1569
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.2167,
+      "step": 1570
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.267,
+      "step": 1571
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.4316,
+      "step": 1572
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.2167,
+      "step": 1573
+    },
+    {
+      "epoch": 1.1,
+      "learning_rate": 0.0004,
+      "loss": 0.527,
+      "step": 1574
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.7904,
+      "step": 1575
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.1293,
+      "step": 1576
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.2587,
+      "step": 1577
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 1.0614,
+      "step": 1578
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.5228,
+      "step": 1579
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.6162,
+      "step": 1580
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.6659,
+      "step": 1581
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.6455,
+      "step": 1582
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.6458,
+      "step": 1583
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.5845,
+      "step": 1584
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.676,
+      "step": 1585
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.4458,
+      "step": 1586
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.5097,
+      "step": 1587
+    },
+    {
+      "epoch": 1.11,
+      "learning_rate": 0.0004,
+      "loss": 0.4247,
+      "step": 1588
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5735,
+      "step": 1589
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.4008,
+      "step": 1590
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.599,
+      "step": 1591
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.6497,
+      "step": 1592
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5961,
+      "step": 1593
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.5184,
+      "step": 1594
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.1147,
+      "step": 1595
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.492,
+      "step": 1596
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.4417,
+      "step": 1597
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.4014,
+      "step": 1598
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.2598,
+      "step": 1599
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.3197,
+      "step": 1600
+    },
+    {
+      "epoch": 1.12,
+      "eval_loss": 0.6235715746879578,
+      "eval_runtime": 261.9932,
+      "eval_samples_per_second": 1.908,
+      "eval_steps_per_second": 0.954,
+      "step": 1600
+    },
+    {
+      "epoch": 1.12,
+      "mmlu_eval_accuracy": 0.3525390650531232,
+      "mmlu_eval_accuracy_abstract_algebra": 0.0,
+      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
+      "mmlu_eval_accuracy_astronomy": 0.375,
+      "mmlu_eval_accuracy_business_ethics": 0.09090909090909091,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.3793103448275862,
+      "mmlu_eval_accuracy_college_biology": 0.375,
+      "mmlu_eval_accuracy_college_chemistry": 0.625,
+      "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
+      "mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
+      "mmlu_eval_accuracy_college_medicine": 0.2727272727272727,
+      "mmlu_eval_accuracy_college_physics": 0.36363636363636365,
+      "mmlu_eval_accuracy_computer_security": 0.6363636363636364,
+      "mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
+      "mmlu_eval_accuracy_econometrics": 0.3333333333333333,
+      "mmlu_eval_accuracy_electrical_engineering": 0.625,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.24390243902439024,
+      "mmlu_eval_accuracy_formal_logic": 0.42857142857142855,
+      "mmlu_eval_accuracy_global_facts": 0.2,
+      "mmlu_eval_accuracy_high_school_biology": 0.21875,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.22727272727272727,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.4444444444444444,
+      "mmlu_eval_accuracy_high_school_european_history": 0.2222222222222222,
+      "mmlu_eval_accuracy_high_school_geography": 0.5,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.37209302325581395,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.42857142857142855,
+      "mmlu_loss": 0.7952154342532158,
+      "step": 1600
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.2261,
+      "step": 1601
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 0.0004,
+      "loss": 0.238,
+      "step": 1602
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4392,
+      "step": 1603
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4089,
+      "step": 1604
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4387,
+      "step": 1605
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.2984,
+      "step": 1606
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.6023,
+      "step": 1607
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.2376,
+      "step": 1608
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.1852,
+      "step": 1609
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.5266,
+      "step": 1610
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.259,
+      "step": 1611
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.4731,
+      "step": 1612
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.533,
+      "step": 1613
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.5364,
+      "step": 1614
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.2979,
+      "step": 1615
+    },
+    {
+      "epoch": 1.13,
+      "learning_rate": 0.0004,
+      "loss": 0.8257,
+      "step": 1616
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.6534,
+      "step": 1617
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.5292,
+      "step": 1618
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.4821,
+      "step": 1619
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.3823,
+      "step": 1620
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.2509,
+      "step": 1621
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1004,
+      "step": 1622
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1348,
+      "step": 1623
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1405,
+      "step": 1624
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.2882,
+      "step": 1625
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1414,
+      "step": 1626
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1747,
+      "step": 1627
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1746,
+      "step": 1628
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.1461,
+      "step": 1629
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.6798,
+      "step": 1630
+    },
+    {
+      "epoch": 1.14,
+      "learning_rate": 0.0004,
+      "loss": 0.766,
+      "step": 1631
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.6122,
+      "step": 1632
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5697,
+      "step": 1633
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.7384,
+      "step": 1634
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5936,
+      "step": 1635
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5243,
+      "step": 1636
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5446,
+      "step": 1637
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5542,
+      "step": 1638
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.395,
+      "step": 1639
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.59,
+      "step": 1640
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5137,
+      "step": 1641
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.831,
+      "step": 1642
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5179,
+      "step": 1643
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.4522,
+      "step": 1644
+    },
+    {
+      "epoch": 1.15,
+      "learning_rate": 0.0004,
+      "loss": 0.5093,
+      "step": 1645
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.2492,
+      "step": 1646
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.4021,
+      "step": 1647
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.2477,
+      "step": 1648
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.3649,
+      "step": 1649
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.2222,
+      "step": 1650
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.2333,
+      "step": 1651
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.3062,
+      "step": 1652
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.2826,
+      "step": 1653
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.4369,
+      "step": 1654
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.3068,
+      "step": 1655
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.1707,
+      "step": 1656
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.4054,
+      "step": 1657
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.5617,
+      "step": 1658
+    },
+    {
+      "epoch": 1.16,
+      "learning_rate": 0.0004,
+      "loss": 0.1718,
+      "step": 1659
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.5046,
+      "step": 1660
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.591,
+      "step": 1661
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2547,
+      "step": 1662
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.6077,
+      "step": 1663
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2695,
+      "step": 1664
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.4135,
+      "step": 1665
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2086,
+      "step": 1666
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.8859,
+      "step": 1667
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2759,
+      "step": 1668
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.1777,
+      "step": 1669
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.3034,
+      "step": 1670
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2507,
+      "step": 1671
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.2771,
+      "step": 1672
+    },
+    {
+      "epoch": 1.17,
+      "learning_rate": 0.0004,
+      "loss": 0.1228,
+      "step": 1673
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.1244,
+      "step": 1674
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.1676,
+      "step": 1675
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.469,
+      "step": 1676
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.4767,
+      "step": 1677
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.0438,
+      "step": 1678
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.3189,
+      "step": 1679
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.6415,
+      "step": 1680
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.6347,
+      "step": 1681
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.7361,
+      "step": 1682
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.5118,
+      "step": 1683
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.3178,
+      "step": 1684
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.6868,
+      "step": 1685
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.6565,
+      "step": 1686
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.7181,
+      "step": 1687
+    },
+    {
+      "epoch": 1.18,
+      "learning_rate": 0.0004,
+      "loss": 0.8061,
+      "step": 1688
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.3408,
+      "step": 1689
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.6235,
+      "step": 1690
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.4925,
+      "step": 1691
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5904,
+      "step": 1692
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.8302,
+      "step": 1693
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.3796,
+      "step": 1694
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.4523,
+      "step": 1695
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.4007,
+      "step": 1696
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5336,
+      "step": 1697
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.3644,
+      "step": 1698
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.3232,
+      "step": 1699
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.5039,
+      "step": 1700
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.2815,
+      "step": 1701
+    },
+    {
+      "epoch": 1.19,
+      "learning_rate": 0.0004,
+      "loss": 0.4005,
+      "step": 1702
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4543,
+      "step": 1703
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.3084,
+      "step": 1704
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.6492,
+      "step": 1705
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.4945,
+      "step": 1706
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.395,
+      "step": 1707
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.2501,
+      "step": 1708
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.1801,
+      "step": 1709
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.3444,
+      "step": 1710
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.0765,
+      "step": 1711
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.3827,
+      "step": 1712
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.3577,
+      "step": 1713
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 1.556,
+      "step": 1714
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.5528,
+      "step": 1715
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 0.0004,
+      "loss": 0.2855,
+      "step": 1716
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.7544,
+      "step": 1717
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.1409,
+      "step": 1718
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.4003,
+      "step": 1719
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.2708,
+      "step": 1720
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.2607,
+      "step": 1721
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.317,
+      "step": 1722
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.1305,
+      "step": 1723
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.2528,
+      "step": 1724
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.8979,
+      "step": 1725
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.2475,
+      "step": 1726
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.0929,
+      "step": 1727
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.5937,
+      "step": 1728
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.343,
+      "step": 1729
+    },
+    {
+      "epoch": 1.21,
+      "learning_rate": 0.0004,
+      "loss": 0.3672,
+      "step": 1730
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.6094,
+      "step": 1731
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.703,
+      "step": 1732
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.6172,
+      "step": 1733
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.6706,
+      "step": 1734
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.5924,
+      "step": 1735
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.5584,
+      "step": 1736
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.4434,
+      "step": 1737
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.7197,
+      "step": 1738
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.4025,
+      "step": 1739
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.4315,
+      "step": 1740
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.3137,
+      "step": 1741
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.2386,
+      "step": 1742
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.3152,
+      "step": 1743
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.4141,
+      "step": 1744
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 0.0004,
+      "loss": 0.294,
+      "step": 1745
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.5025,
+      "step": 1746
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.3873,
+      "step": 1747
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.3164,
+      "step": 1748
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.5181,
+      "step": 1749
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.4996,
+      "step": 1750
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.2139,
+      "step": 1751
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.3284,
+      "step": 1752
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.5692,
+      "step": 1753
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.2351,
+      "step": 1754
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.3178,
+      "step": 1755
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.7891,
+      "step": 1756
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.369,
+      "step": 1757
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.4885,
+      "step": 1758
+    },
+    {
+      "epoch": 1.23,
+      "learning_rate": 0.0004,
+      "loss": 0.2654,
+      "step": 1759
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4451,
+      "step": 1760
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3549,
+      "step": 1761
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.2437,
+      "step": 1762
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.49,
+      "step": 1763
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3483,
+      "step": 1764
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.2153,
+      "step": 1765
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4111,
+      "step": 1766
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4723,
+      "step": 1767
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.2984,
+      "step": 1768
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3834,
+      "step": 1769
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.4778,
+      "step": 1770
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.5302,
+      "step": 1771
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3847,
+      "step": 1772
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0004,
+      "loss": 0.3156,
+      "step": 1773
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.5822,
+      "step": 1774
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.3504,
+      "step": 1775
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.4279,
+      "step": 1776
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.2788,
+      "step": 1777
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.2507,
+      "step": 1778
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.3883,
+      "step": 1779
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.7364,
+      "step": 1780
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.5108,
+      "step": 1781
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.6921,
+      "step": 1782
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.6624,
+      "step": 1783
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.6871,
+      "step": 1784
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.7601,
+      "step": 1785
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.5435,
+      "step": 1786
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 0.0004,
+      "loss": 0.5029,
+      "step": 1787
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6106,
+      "step": 1788
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 1.0211,
+      "step": 1789
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.4223,
+      "step": 1790
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6167,
+      "step": 1791
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.3701,
+      "step": 1792
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6277,
+      "step": 1793
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.3524,
+      "step": 1794
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.304,
+      "step": 1795
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.2555,
+      "step": 1796
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.5034,
+      "step": 1797
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.3424,
+      "step": 1798
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.6686,
+      "step": 1799
+    },
+    {
+      "epoch": 1.26,
+      "learning_rate": 0.0004,
+      "loss": 0.2169,
+      "step": 1800
+    },
+    {
+      "epoch": 1.26,
+      "eval_loss": 0.6171774864196777,
+      "eval_runtime": 261.9946,
+      "eval_samples_per_second": 1.908,
+      "eval_steps_per_second": 0.954,
+      "step": 1800
+    },
+    {
+      "epoch": 1.26,
+      "mmlu_eval_accuracy": 0.3966351568415356,
+      "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
+      "mmlu_eval_accuracy_anatomy": 0.35714285714285715,
+      "mmlu_eval_accuracy_astronomy": 0.375,
+      "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
+      "mmlu_eval_accuracy_clinical_knowledge": 0.3448275862068966,
+      "mmlu_eval_accuracy_college_biology": 0.375,
+      "mmlu_eval_accuracy_college_chemistry": 0.125,
+      "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
+      "mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
+      "mmlu_eval_accuracy_college_medicine": 0.5,
+      "mmlu_eval_accuracy_college_physics": 0.6363636363636364,
+      "mmlu_eval_accuracy_computer_security": 0.45454545454545453,
+      "mmlu_eval_accuracy_conceptual_physics": 0.5384615384615384,
+      "mmlu_eval_accuracy_econometrics": 0.25,
+      "mmlu_eval_accuracy_electrical_engineering": 0.3125,
+      "mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
+      "mmlu_eval_accuracy_formal_logic": 0.2857142857142857,
+      "mmlu_eval_accuracy_global_facts": 0.3,
+      "mmlu_eval_accuracy_high_school_biology": 0.34375,
+      "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
+      "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
+      "mmlu_eval_accuracy_high_school_european_history": 0.3888888888888889,
+      "mmlu_eval_accuracy_high_school_geography": 0.6818181818181818,
+      "mmlu_eval_accuracy_high_school_government_and_politics": 0.42857142857142855,
+      "mmlu_eval_accuracy_high_school_macroeconomics": 0.4186046511627907,
+      "mmlu_eval_accuracy_high_school_mathematics": 0.1724137931034483,
+      "mmlu_eval_accuracy_high_school_microeconomics": 0.5,
+      "mmlu_loss": 0.8713522016406059,
+      "step": 1800
+    }
+  ],
+  "max_steps": 30000,
+  "num_train_epochs": 22,
+  "total_flos": 3.588256589495009e+17,
+  "trial_name": null,
+  "trial_params": null
+}