diff --git "a/checkpoint-948/trainer_state.json" "b/checkpoint-948/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/checkpoint-948/trainer_state.json"
@@ -0,0 +1,6797 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.991578947368421,
+  "eval_steps": 60,
+  "global_step": 948,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.004210526315789474,
+      "grad_norm": 0.310546875,
+      "learning_rate": 2e-05,
+      "loss": 1.5605,
+      "step": 1
+    },
+    {
+      "epoch": 0.004210526315789474,
+      "eval_loss": 1.5264556407928467,
+      "eval_runtime": 26.3082,
+      "eval_samples_per_second": 3.801,
+      "eval_steps_per_second": 1.901,
+      "step": 1
+    },
+    {
+      "epoch": 0.008421052631578947,
+      "grad_norm": 0.306640625,
+      "learning_rate": 4e-05,
+      "loss": 1.4702,
+      "step": 2
+    },
+    {
+      "epoch": 0.01263157894736842,
+      "grad_norm": 0.2578125,
+      "learning_rate": 6e-05,
+      "loss": 1.4576,
+      "step": 3
+    },
+    {
+      "epoch": 0.016842105263157894,
+      "grad_norm": 0.65234375,
+      "learning_rate": 8e-05,
+      "loss": 1.5868,
+      "step": 4
+    },
+    {
+      "epoch": 0.021052631578947368,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.0001,
+      "loss": 1.5916,
+      "step": 5
+    },
+    {
+      "epoch": 0.02526315789473684,
+      "grad_norm": 0.5703125,
+      "learning_rate": 0.00012,
+      "loss": 1.7851,
+      "step": 6
+    },
+    {
+      "epoch": 0.029473684210526315,
+      "grad_norm": 0.3359375,
+      "learning_rate": 0.00014,
+      "loss": 1.5319,
+      "step": 7
+    },
+    {
+      "epoch": 0.03368421052631579,
+      "grad_norm": 0.39453125,
+      "learning_rate": 0.00016,
+      "loss": 1.8462,
+      "step": 8
+    },
+    {
+      "epoch": 0.037894736842105266,
+      "grad_norm": 0.484375,
+      "learning_rate": 0.00018,
+      "loss": 1.4219,
+      "step": 9
+    },
+    {
+      "epoch": 0.042105263157894736,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.0002,
+      "loss": 1.6555,
+      "step": 10
+    },
+    {
+      "epoch": 0.04631578947368421,
+      "grad_norm": 0.267578125,
+      "learning_rate": 0.0001999994391281196,
+      "loss": 1.1527,
+      "step": 11
+    },
+    {
+      "epoch": 0.05052631578947368,
+      "grad_norm": 0.298828125,
+      "learning_rate": 0.00019999775651876987,
+      "loss": 1.4265,
+      "step": 12
+    },
+    {
+      "epoch": 0.05473684210526316,
+      "grad_norm": 0.376953125,
+      "learning_rate": 0.00019999495219082545,
+      "loss": 1.5505,
+      "step": 13
+    },
+    {
+      "epoch": 0.05894736842105263,
+      "grad_norm": 0.380859375,
+      "learning_rate": 0.00019999102617574365,
+      "loss": 1.0313,
+      "step": 14
+    },
+    {
+      "epoch": 0.06315789473684211,
+      "grad_norm": 0.494140625,
+      "learning_rate": 0.0001999859785175643,
+      "loss": 1.439,
+      "step": 15
+    },
+    {
+      "epoch": 0.06736842105263158,
+      "grad_norm": 0.40234375,
+      "learning_rate": 0.00019997980927290927,
+      "loss": 1.3511,
+      "step": 16
+    },
+    {
+      "epoch": 0.07157894736842105,
+      "grad_norm": 0.390625,
+      "learning_rate": 0.0001999725185109816,
+      "loss": 1.2886,
+      "step": 17
+    },
+    {
+      "epoch": 0.07578947368421053,
+      "grad_norm": 0.388671875,
+      "learning_rate": 0.00019996410631356498,
+      "loss": 1.3057,
+      "step": 18
+    },
+    {
+      "epoch": 0.08,
+      "grad_norm": 0.6328125,
+      "learning_rate": 0.00019995457277502271,
+      "loss": 1.7375,
+      "step": 19
+    },
+    {
+      "epoch": 0.08421052631578947,
+      "grad_norm": 0.51953125,
+      "learning_rate": 0.00019994391800229666,
+      "loss": 1.3436,
+      "step": 20
+    },
+    {
+      "epoch": 0.08842105263157894,
+      "grad_norm": 0.345703125,
+      "learning_rate": 0.00019993214211490608,
+      "loss": 1.14,
+      "step": 21
+    },
+    {
+      "epoch": 0.09263157894736843,
+      "grad_norm": 0.357421875,
+      "learning_rate": 0.00019991924524494627,
+      "loss": 1.1322,
+      "step": 22
+    },
+    {
+      "epoch": 0.0968421052631579,
+      "grad_norm": 0.431640625,
+      "learning_rate": 0.00019990522753708705,
+      "loss": 1.4512,
+      "step": 23
+    },
+    {
+      "epoch": 0.10105263157894737,
+      "grad_norm": 0.2490234375,
+      "learning_rate": 0.00019989008914857116,
+      "loss": 1.3419,
+      "step": 24
+    },
+    {
+      "epoch": 0.10526315789473684,
+      "grad_norm": 0.78515625,
+      "learning_rate": 0.00019987383024921255,
+      "loss": 1.382,
+      "step": 25
+    },
+    {
+      "epoch": 0.10947368421052632,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.0001998564510213944,
+      "loss": 1.582,
+      "step": 26
+    },
+    {
+      "epoch": 0.11368421052631579,
+      "grad_norm": 0.5703125,
+      "learning_rate": 0.00019983795166006715,
+      "loss": 1.188,
+      "step": 27
+    },
+    {
+      "epoch": 0.11789473684210526,
+      "grad_norm": 0.46875,
+      "learning_rate": 0.00019981833237274618,
+      "loss": 1.4246,
+      "step": 28
+    },
+    {
+      "epoch": 0.12210526315789473,
+      "grad_norm": 0.3984375,
+      "learning_rate": 0.00019979759337950968,
+      "loss": 1.2828,
+      "step": 29
+    },
+    {
+      "epoch": 0.12631578947368421,
+      "grad_norm": 0.55078125,
+      "learning_rate": 0.00019977573491299598,
+      "loss": 1.6199,
+      "step": 30
+    },
+    {
+      "epoch": 0.13052631578947368,
+      "grad_norm": 0.8359375,
+      "learning_rate": 0.00019975275721840103,
+      "loss": 1.2398,
+      "step": 31
+    },
+    {
+      "epoch": 0.13473684210526315,
+      "grad_norm": 0.5,
+      "learning_rate": 0.00019972866055347572,
+      "loss": 1.4295,
+      "step": 32
+    },
+    {
+      "epoch": 0.13894736842105262,
+      "grad_norm": 0.5390625,
+      "learning_rate": 0.0001997034451885229,
+      "loss": 1.2814,
+      "step": 33
+    },
+    {
+      "epoch": 0.1431578947368421,
+      "grad_norm": 0.28515625,
+      "learning_rate": 0.0001996771114063943,
+      "loss": 1.532,
+      "step": 34
+    },
+    {
+      "epoch": 0.14736842105263157,
+      "grad_norm": 0.40625,
+      "learning_rate": 0.00019964965950248757,
+      "loss": 1.3516,
+      "step": 35
+    },
+    {
+      "epoch": 0.15157894736842106,
+      "grad_norm": 0.44921875,
+      "learning_rate": 0.00019962108978474263,
+      "loss": 1.1487,
+      "step": 36
+    },
+    {
+      "epoch": 0.15578947368421053,
+      "grad_norm": 0.310546875,
+      "learning_rate": 0.0001995914025736386,
+      "loss": 1.3543,
+      "step": 37
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 0.306640625,
+      "learning_rate": 0.00019956059820218982,
+      "loss": 1.2986,
+      "step": 38
+    },
+    {
+      "epoch": 0.16421052631578947,
+      "grad_norm": 0.625,
+      "learning_rate": 0.00019952867701594247,
+      "loss": 1.0167,
+      "step": 39
+    },
+    {
+      "epoch": 0.16842105263157894,
+      "grad_norm": 0.306640625,
+      "learning_rate": 0.00019949563937297045,
+      "loss": 1.2287,
+      "step": 40
+    },
+    {
+      "epoch": 0.1726315789473684,
+      "grad_norm": 0.34765625,
+      "learning_rate": 0.00019946148564387145,
+      "loss": 1.0063,
+      "step": 41
+    },
+    {
+      "epoch": 0.17684210526315788,
+      "grad_norm": 0.94921875,
+      "learning_rate": 0.00019942621621176282,
+      "loss": 1.2712,
+      "step": 42
+    },
+    {
+      "epoch": 0.18105263157894738,
+      "grad_norm": 0.333984375,
+      "learning_rate": 0.00019938983147227716,
+      "loss": 1.2106,
+      "step": 43
+    },
+    {
+      "epoch": 0.18526315789473685,
+      "grad_norm": 0.6328125,
+      "learning_rate": 0.0001993523318335581,
+      "loss": 1.4887,
+      "step": 44
+    },
+    {
+      "epoch": 0.18947368421052632,
+      "grad_norm": 0.62890625,
+      "learning_rate": 0.00019931371771625544,
+      "loss": 1.2747,
+      "step": 45
+    },
+    {
+      "epoch": 0.1936842105263158,
+      "grad_norm": 0.2216796875,
+      "learning_rate": 0.00019927398955352061,
+      "loss": 1.1946,
+      "step": 46
+    },
+    {
+      "epoch": 0.19789473684210526,
+      "grad_norm": 0.54296875,
+      "learning_rate": 0.00019923314779100184,
+      "loss": 1.2467,
+      "step": 47
+    },
+    {
+      "epoch": 0.20210526315789473,
+      "grad_norm": 0.25390625,
+      "learning_rate": 0.00019919119288683908,
+      "loss": 1.5067,
+      "step": 48
+    },
+    {
+      "epoch": 0.2063157894736842,
+      "grad_norm": 0.404296875,
+      "learning_rate": 0.00019914812531165877,
+      "loss": 1.4291,
+      "step": 49
+    },
+    {
+      "epoch": 0.21052631578947367,
+      "grad_norm": 0.267578125,
+      "learning_rate": 0.00019910394554856876,
+      "loss": 1.0136,
+      "step": 50
+    },
+    {
+      "epoch": 0.21473684210526317,
+      "grad_norm": 1.328125,
+      "learning_rate": 0.00019905865409315288,
+      "loss": 1.2874,
+      "step": 51
+    },
+    {
+      "epoch": 0.21894736842105264,
+      "grad_norm": 0.244140625,
+      "learning_rate": 0.0001990122514534651,
+      "loss": 0.9588,
+      "step": 52
+    },
+    {
+      "epoch": 0.2231578947368421,
+      "grad_norm": 0.376953125,
+      "learning_rate": 0.0001989647381500242,
+      "loss": 1.3036,
+      "step": 53
+    },
+    {
+      "epoch": 0.22736842105263158,
+      "grad_norm": 0.5,
+      "learning_rate": 0.00019891611471580764,
+      "loss": 1.514,
+      "step": 54
+    },
+    {
+      "epoch": 0.23157894736842105,
+      "grad_norm": 0.423828125,
+      "learning_rate": 0.0001988663816962458,
+      "loss": 1.2444,
+      "step": 55
+    },
+    {
+      "epoch": 0.23578947368421052,
+      "grad_norm": 0.30078125,
+      "learning_rate": 0.00019881553964921572,
+      "loss": 1.2261,
+      "step": 56
+    },
+    {
+      "epoch": 0.24,
+      "grad_norm": 0.34765625,
+      "learning_rate": 0.00019876358914503492,
+      "loss": 1.2489,
+      "step": 57
+    },
+    {
+      "epoch": 0.24421052631578946,
+      "grad_norm": 0.431640625,
+      "learning_rate": 0.00019871053076645488,
+      "loss": 1.2134,
+      "step": 58
+    },
+    {
+      "epoch": 0.24842105263157896,
+      "grad_norm": 0.259765625,
+      "learning_rate": 0.00019865636510865467,
+      "loss": 1.1999,
+      "step": 59
+    },
+    {
+      "epoch": 0.25263157894736843,
+      "grad_norm": 0.2421875,
+      "learning_rate": 0.00019860109277923418,
+      "loss": 1.1485,
+      "step": 60
+    },
+    {
+      "epoch": 0.25263157894736843,
+      "eval_loss": 1.2386109828948975,
+      "eval_runtime": 25.8708,
+      "eval_samples_per_second": 3.865,
+      "eval_steps_per_second": 1.933,
+      "step": 60
+    },
+    {
+      "epoch": 0.25684210526315787,
+      "grad_norm": 0.5390625,
+      "learning_rate": 0.00019854471439820733,
+      "loss": 1.2963,
+      "step": 61
+    },
+    {
+      "epoch": 0.26105263157894737,
+      "grad_norm": 0.345703125,
+      "learning_rate": 0.00019848723059799506,
+      "loss": 1.097,
+      "step": 62
+    },
+    {
+      "epoch": 0.26526315789473687,
+      "grad_norm": 0.49609375,
+      "learning_rate": 0.00019842864202341835,
+      "loss": 1.1463,
+      "step": 63
+    },
+    {
+      "epoch": 0.2694736842105263,
+      "grad_norm": 0.267578125,
+      "learning_rate": 0.00019836894933169088,
+      "loss": 1.1921,
+      "step": 64
+    },
+    {
+      "epoch": 0.2736842105263158,
+      "grad_norm": 0.349609375,
+      "learning_rate": 0.00019830815319241168,
+      "loss": 1.1835,
+      "step": 65
+    },
+    {
+      "epoch": 0.27789473684210525,
+      "grad_norm": 0.333984375,
+      "learning_rate": 0.0001982462542875576,
+      "loss": 1.1998,
+      "step": 66
+    },
+    {
+      "epoch": 0.28210526315789475,
+      "grad_norm": 0.244140625,
+      "learning_rate": 0.00019818325331147585,
+      "loss": 1.1047,
+      "step": 67
+    },
+    {
+      "epoch": 0.2863157894736842,
+      "grad_norm": 0.244140625,
+      "learning_rate": 0.00019811915097087587,
+      "loss": 1.2452,
+      "step": 68
+    },
+    {
+      "epoch": 0.2905263157894737,
+      "grad_norm": 0.259765625,
+      "learning_rate": 0.00019805394798482167,
+      "loss": 1.1633,
+      "step": 69
+    },
+    {
+      "epoch": 0.29473684210526313,
+      "grad_norm": 0.44140625,
+      "learning_rate": 0.00019798764508472373,
+      "loss": 1.0081,
+      "step": 70
+    },
+    {
+      "epoch": 0.29894736842105263,
+      "grad_norm": 0.5703125,
+      "learning_rate": 0.00019792024301433064,
+      "loss": 0.9194,
+      "step": 71
+    },
+    {
+      "epoch": 0.3031578947368421,
+      "grad_norm": 0.357421875,
+      "learning_rate": 0.00019785174252972092,
+      "loss": 0.8091,
+      "step": 72
+    },
+    {
+      "epoch": 0.30736842105263157,
+      "grad_norm": 0.33984375,
+      "learning_rate": 0.00019778214439929452,
+      "loss": 1.1248,
+      "step": 73
+    },
+    {
+      "epoch": 0.31157894736842107,
+      "grad_norm": 0.23046875,
+      "learning_rate": 0.0001977114494037641,
+      "loss": 1.1204,
+      "step": 74
+    },
+    {
+      "epoch": 0.3157894736842105,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.0001976396583361464,
+      "loss": 1.1662,
+      "step": 75
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 0.2578125,
+      "learning_rate": 0.00019756677200175315,
+      "loss": 1.1222,
+      "step": 76
+    },
+    {
+      "epoch": 0.32421052631578945,
+      "grad_norm": 0.796875,
+      "learning_rate": 0.00019749279121818235,
+      "loss": 1.0329,
+      "step": 77
+    },
+    {
+      "epoch": 0.32842105263157895,
+      "grad_norm": 0.2490234375,
+      "learning_rate": 0.0001974177168153088,
+      "loss": 1.1199,
+      "step": 78
+    },
+    {
+      "epoch": 0.33263157894736844,
+      "grad_norm": 0.26171875,
+      "learning_rate": 0.00019734154963527495,
+      "loss": 1.4391,
+      "step": 79
+    },
+    {
+      "epoch": 0.3368421052631579,
+      "grad_norm": 0.30078125,
+      "learning_rate": 0.0001972642905324813,
+      "loss": 1.3924,
+      "step": 80
+    },
+    {
+      "epoch": 0.3410526315789474,
+      "grad_norm": 0.208984375,
+      "learning_rate": 0.00019718594037357713,
+      "loss": 1.1518,
+      "step": 81
+    },
+    {
+      "epoch": 0.3452631578947368,
+      "grad_norm": 0.953125,
+      "learning_rate": 0.0001971065000374504,
+      "loss": 1.2606,
+      "step": 82
+    },
+    {
+      "epoch": 0.3494736842105263,
+      "grad_norm": 0.306640625,
+      "learning_rate": 0.0001970259704152181,
+      "loss": 1.2293,
+      "step": 83
+    },
+    {
+      "epoch": 0.35368421052631577,
+      "grad_norm": 0.6328125,
+      "learning_rate": 0.0001969443524102163,
+      "loss": 0.9564,
+      "step": 84
+    },
+    {
+      "epoch": 0.35789473684210527,
+      "grad_norm": 0.279296875,
+      "learning_rate": 0.00019686164693798986,
+      "loss": 1.2023,
+      "step": 85
+    },
+    {
+      "epoch": 0.36210526315789476,
+      "grad_norm": 0.263671875,
+      "learning_rate": 0.0001967778549262822,
+      "loss": 0.9322,
+      "step": 86
+    },
+    {
+      "epoch": 0.3663157894736842,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00019669297731502507,
+      "loss": 1.2589,
+      "step": 87
+    },
+    {
+      "epoch": 0.3705263157894737,
+      "grad_norm": 0.392578125,
+      "learning_rate": 0.00019660701505632772,
+      "loss": 1.3188,
+      "step": 88
+    },
+    {
+      "epoch": 0.37473684210526315,
+      "grad_norm": 0.51953125,
+      "learning_rate": 0.00019651996911446647,
+      "loss": 1.0415,
+      "step": 89
+    },
+    {
+      "epoch": 0.37894736842105264,
+      "grad_norm": 0.427734375,
+      "learning_rate": 0.0001964318404658737,
+      "loss": 1.467,
+      "step": 90
+    },
+    {
+      "epoch": 0.3831578947368421,
+      "grad_norm": 0.4453125,
+      "learning_rate": 0.00019634263009912705,
+      "loss": 1.5527,
+      "step": 91
+    },
+    {
+      "epoch": 0.3873684210526316,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00019625233901493822,
+      "loss": 1.2043,
+      "step": 92
+    },
+    {
+      "epoch": 0.391578947368421,
+      "grad_norm": 0.279296875,
+      "learning_rate": 0.00019616096822614186,
+      "loss": 0.9677,
+      "step": 93
+    },
+    {
+      "epoch": 0.3957894736842105,
+      "grad_norm": 0.46484375,
+      "learning_rate": 0.000196068518757684,
+      "loss": 1.1942,
+      "step": 94
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 0.435546875,
+      "learning_rate": 0.00019597499164661093,
+      "loss": 1.3481,
+      "step": 95
+    },
+    {
+      "epoch": 0.40421052631578946,
+      "grad_norm": 0.291015625,
+      "learning_rate": 0.00019588038794205703,
+      "loss": 1.2776,
+      "step": 96
+    },
+    {
+      "epoch": 0.40842105263157896,
+      "grad_norm": 0.3828125,
+      "learning_rate": 0.00019578470870523359,
+      "loss": 1.4808,
+      "step": 97
+    },
+    {
+      "epoch": 0.4126315789473684,
+      "grad_norm": 0.28125,
+      "learning_rate": 0.00019568795500941635,
+      "loss": 1.3385,
+      "step": 98
+    },
+    {
+      "epoch": 0.4168421052631579,
+      "grad_norm": 0.484375,
+      "learning_rate": 0.00019559012793993392,
+      "loss": 1.5787,
+      "step": 99
+    },
+    {
+      "epoch": 0.42105263157894735,
+      "grad_norm": 0.298828125,
+      "learning_rate": 0.00019549122859415538,
+      "loss": 1.2151,
+      "step": 100
+    },
+    {
+      "epoch": 0.42526315789473684,
+      "grad_norm": 0.65234375,
+      "learning_rate": 0.0001953912580814779,
+      "loss": 1.0332,
+      "step": 101
+    },
+    {
+      "epoch": 0.42947368421052634,
+      "grad_norm": 0.37890625,
+      "learning_rate": 0.00019529021752331453,
+      "loss": 1.2677,
+      "step": 102
+    },
+    {
+      "epoch": 0.4336842105263158,
+      "grad_norm": 0.265625,
+      "learning_rate": 0.0001951881080530814,
+      "loss": 1.0672,
+      "step": 103
+    },
+    {
+      "epoch": 0.4378947368421053,
+      "grad_norm": 0.498046875,
+      "learning_rate": 0.00019508493081618513,
+      "loss": 1.1736,
+      "step": 104
+    },
+    {
+      "epoch": 0.4421052631578947,
+      "grad_norm": 0.298828125,
+      "learning_rate": 0.00019498068697000994,
+      "loss": 1.1174,
+      "step": 105
+    },
+    {
+      "epoch": 0.4463157894736842,
+      "grad_norm": 0.169921875,
+      "learning_rate": 0.00019487537768390464,
+      "loss": 1.0712,
+      "step": 106
+    },
+    {
+      "epoch": 0.45052631578947366,
+      "grad_norm": 0.55078125,
+      "learning_rate": 0.0001947690041391696,
+      "loss": 1.4496,
+      "step": 107
+    },
+    {
+      "epoch": 0.45473684210526316,
+      "grad_norm": 0.47265625,
+      "learning_rate": 0.00019466156752904343,
+      "loss": 1.2413,
+      "step": 108
+    },
+    {
+      "epoch": 0.4589473684210526,
+      "grad_norm": 0.6015625,
+      "learning_rate": 0.0001945530690586896,
+      "loss": 1.0208,
+      "step": 109
+    },
+    {
+      "epoch": 0.4631578947368421,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.0001944435099451829,
+      "loss": 1.3997,
+      "step": 110
+    },
+    {
+      "epoch": 0.4673684210526316,
+      "grad_norm": 0.330078125,
+      "learning_rate": 0.00019433289141749586,
+      "loss": 1.2914,
+      "step": 111
+    },
+    {
+      "epoch": 0.47157894736842104,
+      "grad_norm": 0.63671875,
+      "learning_rate": 0.00019422121471648497,
+      "loss": 0.8134,
+      "step": 112
+    },
+    {
+      "epoch": 0.47578947368421054,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00019410848109487658,
+      "loss": 1.1282,
+      "step": 113
+    },
+    {
+      "epoch": 0.48,
+      "grad_norm": 0.5625,
+      "learning_rate": 0.0001939946918172531,
+      "loss": 1.3254,
+      "step": 114
+    },
+    {
+      "epoch": 0.4842105263157895,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00019387984816003867,
+      "loss": 1.6428,
+      "step": 115
+    },
+    {
+      "epoch": 0.4884210526315789,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.00019376395141148476,
+      "loss": 1.0688,
+      "step": 116
+    },
+    {
+      "epoch": 0.4926315789473684,
+      "grad_norm": 0.6953125,
+      "learning_rate": 0.00019364700287165604,
+      "loss": 1.0969,
+      "step": 117
+    },
+    {
+      "epoch": 0.4968421052631579,
+      "grad_norm": 1.296875,
+      "learning_rate": 0.00019352900385241536,
+      "loss": 1.5249,
+      "step": 118
+    },
+    {
+      "epoch": 0.5010526315789474,
+      "grad_norm": 0.2001953125,
+      "learning_rate": 0.00019340995567740938,
+      "loss": 1.2095,
+      "step": 119
+    },
+    {
+      "epoch": 0.5052631578947369,
+      "grad_norm": 0.53515625,
+      "learning_rate": 0.0001932898596820536,
+      "loss": 1.1249,
+      "step": 120
+    },
+    {
+      "epoch": 0.5052631578947369,
+      "eval_loss": 1.2166697978973389,
+      "eval_runtime": 25.8713,
+      "eval_samples_per_second": 3.865,
+      "eval_steps_per_second": 1.933,
+      "step": 120
+    },
+    {
+      "epoch": 0.5094736842105263,
+      "grad_norm": 0.423828125,
+      "learning_rate": 0.00019316871721351733,
+      "loss": 1.5017,
+      "step": 121
+    },
+    {
+      "epoch": 0.5136842105263157,
+      "grad_norm": 0.7421875,
+      "learning_rate": 0.0001930465296307087,
+      "loss": 1.0994,
+      "step": 122
+    },
+    {
+      "epoch": 0.5178947368421053,
+      "grad_norm": 0.21875,
+      "learning_rate": 0.0001929232983042592,
+      "loss": 1.0339,
+      "step": 123
+    },
+    {
+      "epoch": 0.5221052631578947,
+      "grad_norm": 0.6328125,
+      "learning_rate": 0.00019279902461650866,
+      "loss": 1.1317,
+      "step": 124
+    },
+    {
+      "epoch": 0.5263157894736842,
+      "grad_norm": 0.3984375,
+      "learning_rate": 0.00019267370996148934,
+      "loss": 0.9421,
+      "step": 125
+    },
+    {
+      "epoch": 0.5305263157894737,
+      "grad_norm": 0.396484375,
+      "learning_rate": 0.00019254735574491058,
+      "loss": 1.3029,
+      "step": 126
+    },
+    {
+      "epoch": 0.5347368421052632,
+      "grad_norm": 0.8359375,
+      "learning_rate": 0.00019241996338414296,
+      "loss": 1.3548,
+      "step": 127
+    },
+    {
+      "epoch": 0.5389473684210526,
+      "grad_norm": 0.84765625,
+      "learning_rate": 0.00019229153430820232,
+      "loss": 1.0865,
+      "step": 128
+    },
+    {
+      "epoch": 0.5431578947368421,
+      "grad_norm": 0.453125,
+      "learning_rate": 0.00019216206995773373,
+      "loss": 0.8151,
+      "step": 129
+    },
+    {
+      "epoch": 0.5473684210526316,
+      "grad_norm": 0.8046875,
+      "learning_rate": 0.0001920315717849956,
+      "loss": 1.3576,
+      "step": 130
+    },
+    {
+      "epoch": 0.5515789473684211,
+      "grad_norm": 0.82421875,
+      "learning_rate": 0.00019190004125384293,
+      "loss": 1.2439,
+      "step": 131
+    },
+    {
+      "epoch": 0.5557894736842105,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.0001917674798397113,
+      "loss": 0.9743,
+      "step": 132
+    },
+    {
+      "epoch": 0.56,
+      "grad_norm": 1.1015625,
+      "learning_rate": 0.0001916338890296001,
+      "loss": 1.3315,
+      "step": 133
+    },
+    {
+      "epoch": 0.5642105263157895,
+      "grad_norm": 0.333984375,
+      "learning_rate": 0.00019149927032205587,
+      "loss": 1.3268,
+      "step": 134
+    },
+    {
+      "epoch": 0.5684210526315789,
+      "grad_norm": 0.388671875,
+      "learning_rate": 0.00019136362522715562,
+      "loss": 1.4751,
+      "step": 135
+    },
+    {
+      "epoch": 0.5726315789473684,
+      "grad_norm": 0.2734375,
+      "learning_rate": 0.00019122695526648968,
+      "loss": 1.1219,
+      "step": 136
+    },
+    {
+      "epoch": 0.5768421052631579,
+      "grad_norm": 1.0703125,
+      "learning_rate": 0.00019108926197314486,
+      "loss": 1.4059,
+      "step": 137
+    },
+    {
+      "epoch": 0.5810526315789474,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.00019095054689168705,
+      "loss": 1.3282,
+      "step": 138
+    },
+    {
+      "epoch": 0.5852631578947368,
+      "grad_norm": 0.6171875,
+      "learning_rate": 0.00019081081157814404,
+      "loss": 1.6334,
+      "step": 139
+    },
+    {
+      "epoch": 0.5894736842105263,
+      "grad_norm": 0.359375,
+      "learning_rate": 0.00019067005759998797,
+      "loss": 1.159,
+      "step": 140
+    },
+    {
+      "epoch": 0.5936842105263158,
+      "grad_norm": 0.470703125,
+      "learning_rate": 0.00019052828653611786,
+      "loss": 1.3261,
+      "step": 141
+    },
+    {
+      "epoch": 0.5978947368421053,
+      "grad_norm": 0.26171875,
+      "learning_rate": 0.0001903854999768417,
+      "loss": 1.2041,
+      "step": 142
+    },
+    {
+      "epoch": 0.6021052631578947,
+      "grad_norm": 0.27734375,
+      "learning_rate": 0.00019024169952385885,
+      "loss": 1.1998,
+      "step": 143
+    },
+    {
+      "epoch": 0.6063157894736843,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.0001900968867902419,
+      "loss": 1.6427,
+      "step": 144
+    },
+    {
+      "epoch": 0.6105263157894737,
+      "grad_norm": 0.419921875,
+      "learning_rate": 0.00018995106340041873,
+      "loss": 1.1968,
+      "step": 145
+    },
+    {
+      "epoch": 0.6147368421052631,
+      "grad_norm": 0.671875,
+      "learning_rate": 0.00018980423099015402,
+      "loss": 0.8641,
+      "step": 146
+    },
+    {
+      "epoch": 0.6189473684210526,
+      "grad_norm": 0.333984375,
+      "learning_rate": 0.00018965639120653121,
+      "loss": 1.4518,
+      "step": 147
+    },
+    {
+      "epoch": 0.6231578947368421,
+      "grad_norm": 0.423828125,
+      "learning_rate": 0.00018950754570793384,
+      "loss": 1.3077,
+      "step": 148
+    },
+    {
+      "epoch": 0.6273684210526316,
+      "grad_norm": 0.85546875,
+      "learning_rate": 0.00018935769616402703,
+      "loss": 1.2077,
+      "step": 149
+    },
+    {
+      "epoch": 0.631578947368421,
+      "grad_norm": 0.224609375,
+      "learning_rate": 0.00018920684425573865,
+      "loss": 1.0868,
+      "step": 150
+    },
+    {
+      "epoch": 0.6357894736842106,
+      "grad_norm": 0.25390625,
+      "learning_rate": 0.00018905499167524062,
+      "loss": 1.2018,
+      "step": 151
+    },
+    {
+      "epoch": 0.64,
+      "grad_norm": 0.498046875,
+      "learning_rate": 0.00018890214012592975,
+      "loss": 1.1675,
+      "step": 152
+    },
+    {
+      "epoch": 0.6442105263157895,
+      "grad_norm": 0.2451171875,
+      "learning_rate": 0.00018874829132240874,
+      "loss": 1.2348,
+      "step": 153
+    },
+    {
+      "epoch": 0.6484210526315789,
+      "grad_norm": 0.33984375,
+      "learning_rate": 0.000188593446990467,
+      "loss": 1.3202,
+      "step": 154
+    },
+    {
+      "epoch": 0.6526315789473685,
+      "grad_norm": 1.0078125,
+      "learning_rate": 0.0001884376088670611,
+      "loss": 1.0171,
+      "step": 155
+    },
+    {
+      "epoch": 0.6568421052631579,
+      "grad_norm": 0.318359375,
+      "learning_rate": 0.00018828077870029552,
+      "loss": 1.219,
+      "step": 156
+    },
+    {
+      "epoch": 0.6610526315789473,
+      "grad_norm": 0.369140625,
+      "learning_rate": 0.00018812295824940285,
+      "loss": 0.8956,
+      "step": 157
+    },
+    {
+      "epoch": 0.6652631578947369,
+      "grad_norm": 0.328125,
+      "learning_rate": 0.00018796414928472417,
+      "loss": 0.9322,
+      "step": 158
+    },
+    {
+      "epoch": 0.6694736842105263,
+      "grad_norm": 0.2890625,
+      "learning_rate": 0.0001878043535876891,
+      "loss": 1.2062,
+      "step": 159
+    },
+    {
+      "epoch": 0.6736842105263158,
+      "grad_norm": 0.41015625,
+      "learning_rate": 0.0001876435729507959,
+      "loss": 1.3113,
+      "step": 160
+    },
+    {
+      "epoch": 0.6778947368421052,
+      "grad_norm": 0.53515625,
+      "learning_rate": 0.00018748180917759136,
+      "loss": 1.1539,
+      "step": 161
+    },
+    {
+      "epoch": 0.6821052631578948,
+      "grad_norm": 0.279296875,
+      "learning_rate": 0.0001873190640826505,
+      "loss": 1.3287,
+      "step": 162
+    },
+    {
+      "epoch": 0.6863157894736842,
+      "grad_norm": 0.298828125,
+      "learning_rate": 0.00018715533949155625,
+      "loss": 1.0616,
+      "step": 163
+    },
+    {
+      "epoch": 0.6905263157894737,
+      "grad_norm": 0.388671875,
+      "learning_rate": 0.00018699063724087904,
+      "loss": 1.0171,
+      "step": 164
+    },
+    {
+      "epoch": 0.6947368421052632,
+      "grad_norm": 0.32421875,
+      "learning_rate": 0.00018682495917815608,
+      "loss": 1.1113,
+      "step": 165
+    },
+    {
+      "epoch": 0.6989473684210527,
+      "grad_norm": 0.46875,
+      "learning_rate": 0.00018665830716187065,
+      "loss": 0.8351,
+      "step": 166
+    },
+    {
+      "epoch": 0.7031578947368421,
+      "grad_norm": 0.6015625,
+      "learning_rate": 0.0001864906830614314,
+      "loss": 1.2181,
+      "step": 167
+    },
+    {
+      "epoch": 0.7073684210526315,
+      "grad_norm": 0.71875,
+      "learning_rate": 0.0001863220887571512,
+      "loss": 1.1843,
+      "step": 168
+    },
+    {
+      "epoch": 0.7115789473684211,
+      "grad_norm": 0.51953125,
+      "learning_rate": 0.00018615252614022617,
+      "loss": 1.3809,
+      "step": 169
+    },
+    {
+      "epoch": 0.7157894736842105,
+      "grad_norm": 0.34375,
+      "learning_rate": 0.0001859819971127143,
+      "loss": 1.4288,
+      "step": 170
+    },
+    {
+      "epoch": 0.72,
+      "grad_norm": 0.41796875,
+      "learning_rate": 0.00018581050358751445,
+      "loss": 1.1449,
+      "step": 171
+    },
+    {
+      "epoch": 0.7242105263157895,
+      "grad_norm": 0.578125,
+      "learning_rate": 0.00018563804748834438,
+      "loss": 1.0703,
+      "step": 172
+    },
+    {
+      "epoch": 0.728421052631579,
+      "grad_norm": 0.43359375,
+      "learning_rate": 0.00018546463074971977,
+      "loss": 1.2093,
+      "step": 173
+    },
+    {
+      "epoch": 0.7326315789473684,
+      "grad_norm": 0.26171875,
+      "learning_rate": 0.000185290255316932,
+      "loss": 0.7346,
+      "step": 174
+    },
+    {
+      "epoch": 0.7368421052631579,
+      "grad_norm": 0.369140625,
+      "learning_rate": 0.00018511492314602656,
+      "loss": 1.2782,
+      "step": 175
+    },
+    {
+      "epoch": 0.7410526315789474,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.00018493863620378122,
+      "loss": 1.0844,
+      "step": 176
+    },
+    {
+      "epoch": 0.7452631578947368,
+      "grad_norm": 0.2470703125,
+      "learning_rate": 0.00018476139646768372,
+      "loss": 1.1771,
+      "step": 177
+    },
+    {
+      "epoch": 0.7494736842105263,
+      "grad_norm": 0.228515625,
+      "learning_rate": 0.00018458320592590975,
+      "loss": 1.2,
+      "step": 178
+    },
+    {
+      "epoch": 0.7536842105263157,
+      "grad_norm": 0.310546875,
+      "learning_rate": 0.00018440406657730058,
+      "loss": 1.2248,
+      "step": 179
+    },
+    {
+      "epoch": 0.7578947368421053,
+      "grad_norm": 0.263671875,
+      "learning_rate": 0.00018422398043134067,
+      "loss": 1.3675,
+      "step": 180
+    },
+    {
+      "epoch": 0.7578947368421053,
+      "eval_loss": 1.2129631042480469,
+      "eval_runtime": 25.9253,
+      "eval_samples_per_second": 3.857,
+      "eval_steps_per_second": 1.929,
+      "step": 180
+    },
+    {
+      "epoch": 0.7621052631578947,
+      "grad_norm": 0.2412109375,
+      "learning_rate": 0.0001840429495081352,
+      "loss": 1.2456,
+      "step": 181
+    },
+    {
+      "epoch": 0.7663157894736842,
+      "grad_norm": 0.25390625,
+      "learning_rate": 0.00018386097583838714,
+      "loss": 1.2617,
+      "step": 182
+    },
+    {
+      "epoch": 0.7705263157894737,
+      "grad_norm": 0.283203125,
+      "learning_rate": 0.00018367806146337483,
+      "loss": 1.2708,
+      "step": 183
+    },
+    {
+      "epoch": 0.7747368421052632,
+      "grad_norm": 0.318359375,
+      "learning_rate": 0.00018349420843492888,
+      "loss": 1.3771,
+      "step": 184
+    },
+    {
+      "epoch": 0.7789473684210526,
+      "grad_norm": 0.73046875,
+      "learning_rate": 0.00018330941881540915,
+      "loss": 1.3123,
+      "step": 185
+    },
+    {
+      "epoch": 0.783157894736842,
+      "grad_norm": 0.46875,
+      "learning_rate": 0.00018312369467768166,
+      "loss": 1.1952,
+      "step": 186
+    },
+    {
+      "epoch": 0.7873684210526316,
+      "grad_norm": 0.7578125,
+      "learning_rate": 0.00018293703810509537,
+      "loss": 1.426,
+      "step": 187
+    },
+    {
+      "epoch": 0.791578947368421,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.0001827494511914587,
+      "loss": 1.3205,
+      "step": 188
+    },
+    {
+      "epoch": 0.7957894736842105,
+      "grad_norm": 0.365234375,
+      "learning_rate": 0.00018256093604101617,
+      "loss": 1.2221,
+      "step": 189
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 0.36328125,
+      "learning_rate": 0.0001823714947684247,
+      "loss": 1.4212,
+      "step": 190
+    },
+    {
+      "epoch": 0.8042105263157895,
+      "grad_norm": 0.349609375,
+      "learning_rate": 0.00018218112949872995,
+      "loss": 1.2183,
+      "step": 191
+    },
+    {
+      "epoch": 0.8084210526315789,
+      "grad_norm": 0.392578125,
+      "learning_rate": 0.00018198984236734246,
+      "loss": 0.9922,
+      "step": 192
+    },
+    {
+      "epoch": 0.8126315789473684,
+      "grad_norm": 0.373046875,
+      "learning_rate": 0.0001817976355200137,
+      "loss": 1.334,
+      "step": 193
+    },
+    {
+      "epoch": 0.8168421052631579,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.000181604511112812,
+      "loss": 1.1052,
+      "step": 194
+    },
+    {
+      "epoch": 0.8210526315789474,
+      "grad_norm": 0.349609375,
+      "learning_rate": 0.0001814104713120983,
+      "loss": 0.8112,
+      "step": 195
+    },
+    {
+      "epoch": 0.8252631578947368,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.000181215518294502,
+      "loss": 1.2507,
+      "step": 196
+    },
+    {
+      "epoch": 0.8294736842105264,
+      "grad_norm": 0.671875,
+      "learning_rate": 0.0001810196542468964,
+      "loss": 1.1228,
+      "step": 197
+    },
+    {
+      "epoch": 0.8336842105263158,
+      "grad_norm": 0.41015625,
+      "learning_rate": 0.00018082288136637422,
+      "loss": 1.3562,
+      "step": 198
+    },
+    {
+      "epoch": 0.8378947368421052,
+      "grad_norm": 0.302734375,
+      "learning_rate": 0.000180625201860223,
+      "loss": 0.7766,
+      "step": 199
+    },
+    {
+      "epoch": 0.8421052631578947,
+      "grad_norm": 0.322265625,
+      "learning_rate": 0.00018042661794590023,
+      "loss": 1.2885,
+      "step": 200
+    },
+    {
+      "epoch": 0.8463157894736842,
+      "grad_norm": 0.609375,
+      "learning_rate": 0.0001802271318510086,
+      "loss": 1.271,
+      "step": 201
+    },
+    {
+      "epoch": 0.8505263157894737,
+      "grad_norm": 0.341796875,
+      "learning_rate": 0.00018002674581327094,
+      "loss": 1.3777,
+      "step": 202
+    },
+    {
+      "epoch": 0.8547368421052631,
+      "grad_norm": 0.3828125,
+      "learning_rate": 0.00017982546208050515,
+      "loss": 1.32,
+      "step": 203
+    },
+    {
+      "epoch": 0.8589473684210527,
+      "grad_norm": 0.392578125,
+      "learning_rate": 0.00017962328291059888,
+      "loss": 1.1265,
+      "step": 204
+    },
+    {
+      "epoch": 0.8631578947368421,
+      "grad_norm": 0.73046875,
+      "learning_rate": 0.00017942021057148436,
+      "loss": 1.523,
+      "step": 205
+    },
+    {
+      "epoch": 0.8673684210526316,
+      "grad_norm": 1.046875,
+      "learning_rate": 0.00017921624734111292,
+      "loss": 1.0251,
+      "step": 206
+    },
+    {
+      "epoch": 0.871578947368421,
+      "grad_norm": 0.490234375,
+      "learning_rate": 0.0001790113955074294,
+      "loss": 1.2665,
+      "step": 207
+    },
+    {
+      "epoch": 0.8757894736842106,
+      "grad_norm": 0.6875,
+      "learning_rate": 0.0001788056573683464,
+      "loss": 1.2244,
+      "step": 208
+    },
+    {
+      "epoch": 0.88,
+      "grad_norm": 0.2177734375,
+      "learning_rate": 0.0001785990352317187,
+      "loss": 1.1621,
+      "step": 209
+    },
+    {
+      "epoch": 0.8842105263157894,
+      "grad_norm": 0.4921875,
+      "learning_rate": 0.00017839153141531718,
+      "loss": 1.3182,
+      "step": 210
+    },
+    {
+      "epoch": 0.888421052631579,
+      "grad_norm": 0.388671875,
+      "learning_rate": 0.000178183148246803,
+      "loss": 1.4508,
+      "step": 211
+    },
+    {
+      "epoch": 0.8926315789473684,
+      "grad_norm": 0.388671875,
+      "learning_rate": 0.00017797388806370132,
+      "loss": 1.1155,
+      "step": 212
+    },
+    {
+      "epoch": 0.8968421052631579,
+      "grad_norm": 0.416015625,
+      "learning_rate": 0.00017776375321337521,
+      "loss": 0.9191,
+      "step": 213
+    },
+    {
+      "epoch": 0.9010526315789473,
+      "grad_norm": 0.2431640625,
+      "learning_rate": 0.00017755274605299923,
+      "loss": 1.1577,
+      "step": 214
+    },
+    {
+      "epoch": 0.9052631578947369,
+      "grad_norm": 0.412109375,
+      "learning_rate": 0.00017734086894953305,
+      "loss": 1.372,
+      "step": 215
+    },
+    {
+      "epoch": 0.9094736842105263,
+      "grad_norm": 0.353515625,
+      "learning_rate": 0.00017712812427969485,
+      "loss": 1.1932,
+      "step": 216
+    },
+    {
+      "epoch": 0.9136842105263158,
+      "grad_norm": 0.291015625,
+      "learning_rate": 0.0001769145144299347,
+      "loss": 1.3167,
+      "step": 217
+    },
+    {
+      "epoch": 0.9178947368421052,
+      "grad_norm": 0.255859375,
+      "learning_rate": 0.00017670004179640774,
+      "loss": 1.2357,
+      "step": 218
+    },
+    {
+      "epoch": 0.9221052631578948,
+      "grad_norm": 0.5703125,
+      "learning_rate": 0.00017648470878494737,
+      "loss": 0.9556,
+      "step": 219
+    },
+    {
+      "epoch": 0.9263157894736842,
+      "grad_norm": 0.36328125,
+      "learning_rate": 0.0001762685178110382,
+      "loss": 1.2047,
+      "step": 220
+    },
+    {
+      "epoch": 0.9305263157894736,
+      "grad_norm": 0.271484375,
+      "learning_rate": 0.00017605147129978903,
+      "loss": 1.1935,
+      "step": 221
+    },
+    {
+      "epoch": 0.9347368421052632,
+      "grad_norm": 0.400390625,
+      "learning_rate": 0.0001758335716859055,
+      "loss": 1.3426,
+      "step": 222
+    },
+    {
+      "epoch": 0.9389473684210526,
+      "grad_norm": 0.73046875,
+      "learning_rate": 0.000175614821413663,
+      "loss": 1.5181,
+      "step": 223
+    },
+    {
+      "epoch": 0.9431578947368421,
+      "grad_norm": 0.3203125,
+      "learning_rate": 0.00017539522293687898,
+      "loss": 1.0962,
+      "step": 224
+    },
+    {
+      "epoch": 0.9473684210526315,
+      "grad_norm": 0.232421875,
+      "learning_rate": 0.00017517477871888568,
+      "loss": 1.3922,
+      "step": 225
+    },
+    {
+      "epoch": 0.9515789473684211,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.00017495349123250242,
+      "loss": 1.2535,
+      "step": 226
+    },
+    {
+      "epoch": 0.9557894736842105,
+      "grad_norm": 0.296875,
+      "learning_rate": 0.00017473136296000772,
+      "loss": 1.1987,
+      "step": 227
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 0.77734375,
+      "learning_rate": 0.00017450839639311162,
+      "loss": 1.4301,
+      "step": 228
+    },
+    {
+      "epoch": 0.9642105263157895,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.00017428459403292767,
+      "loss": 1.3164,
+      "step": 229
+    },
+    {
+      "epoch": 0.968421052631579,
+      "grad_norm": 0.419921875,
+      "learning_rate": 0.00017405995838994494,
+      "loss": 1.1554,
+      "step": 230
+    },
+    {
+      "epoch": 0.9726315789473684,
+      "grad_norm": 0.3125,
+      "learning_rate": 0.00017383449198399964,
+      "loss": 1.3036,
+      "step": 231
+    },
+    {
+      "epoch": 0.9768421052631578,
+      "grad_norm": 0.267578125,
+      "learning_rate": 0.00017360819734424715,
+      "loss": 1.2797,
+      "step": 232
+    },
+    {
+      "epoch": 0.9810526315789474,
+      "grad_norm": 0.412109375,
+      "learning_rate": 0.00017338107700913354,
+      "loss": 1.1202,
+      "step": 233
+    },
+    {
+      "epoch": 0.9852631578947368,
+      "grad_norm": 0.365234375,
+      "learning_rate": 0.0001731531335263669,
+      "loss": 0.8187,
+      "step": 234
+    },
+    {
+      "epoch": 0.9894736842105263,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.0001729243694528891,
+      "loss": 1.1702,
+      "step": 235
+    },
+    {
+      "epoch": 0.9936842105263158,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.00017269478735484683,
+      "loss": 1.1406,
+      "step": 236
+    },
+    {
+      "epoch": 0.9978947368421053,
+      "grad_norm": 0.3359375,
+      "learning_rate": 0.00017246438980756293,
+      "loss": 0.9633,
+      "step": 237
+    },
+    {
+      "epoch": 1.0021052631578948,
+      "grad_norm": 0.359375,
+      "learning_rate": 0.00017223317939550753,
+      "loss": 1.2181,
+      "step": 238
+    },
+    {
+      "epoch": 1.0063157894736843,
+      "grad_norm": 0.2138671875,
+      "learning_rate": 0.00017200115871226904,
+      "loss": 1.2035,
+      "step": 239
+    },
+    {
+      "epoch": 1.0105263157894737,
+      "grad_norm": 0.3203125,
+      "learning_rate": 0.00017176833036052495,
+      "loss": 1.3449,
+      "step": 240
+    },
+    {
+      "epoch": 1.0105263157894737,
+      "eval_loss": 1.1994891166687012,
+      "eval_runtime": 25.9787,
+      "eval_samples_per_second": 3.849,
+      "eval_steps_per_second": 1.925,
+      "step": 240
+    },
+    {
+      "epoch": 1.0147368421052632,
+      "grad_norm": 0.375,
+      "learning_rate": 0.00017153469695201277,
+      "loss": 1.0695,
+      "step": 241
+    },
+    {
+      "epoch": 1.0189473684210526,
+      "grad_norm": 0.578125,
+      "learning_rate": 0.0001713002611075007,
+      "loss": 0.8898,
+      "step": 242
+    },
+    {
+      "epoch": 1.023157894736842,
+      "grad_norm": 0.203125,
+      "learning_rate": 0.0001710650254567582,
+      "loss": 1.087,
+      "step": 243
+    },
+    {
+      "epoch": 1.0273684210526315,
+      "grad_norm": 0.3828125,
+      "learning_rate": 0.0001708289926385265,
+      "loss": 1.1739,
+      "step": 244
+    },
+    {
+      "epoch": 1.0315789473684212,
+      "grad_norm": 0.3515625,
+      "learning_rate": 0.000170592165300489,
+      "loss": 1.0413,
+      "step": 245
+    },
+    {
+      "epoch": 1.0357894736842106,
+      "grad_norm": 0.376953125,
+      "learning_rate": 0.0001703545460992416,
+      "loss": 1.0745,
+      "step": 246
+    },
+    {
+      "epoch": 1.04,
+      "grad_norm": 0.25,
+      "learning_rate": 0.00017011613770026292,
+      "loss": 1.2494,
+      "step": 247
+    },
+    {
+      "epoch": 1.0442105263157895,
+      "grad_norm": 0.419921875,
+      "learning_rate": 0.00016987694277788417,
+      "loss": 0.7568,
+      "step": 248
+    },
+    {
+      "epoch": 1.048421052631579,
+      "grad_norm": 0.6015625,
+      "learning_rate": 0.0001696369640152596,
+      "loss": 1.2675,
+      "step": 249
+    },
+    {
+      "epoch": 1.0526315789473684,
+      "grad_norm": 0.67578125,
+      "learning_rate": 0.0001693962041043359,
+      "loss": 1.0456,
+      "step": 250
+    },
+    {
+      "epoch": 1.0568421052631578,
+      "grad_norm": 0.5234375,
+      "learning_rate": 0.00016915466574582246,
+      "loss": 1.1145,
+      "step": 251
+    },
+    {
+      "epoch": 1.0610526315789475,
+      "grad_norm": 0.279296875,
+      "learning_rate": 0.00016891235164916065,
+      "loss": 1.1659,
+      "step": 252
+    },
+    {
+      "epoch": 1.065263157894737,
+      "grad_norm": 0.369140625,
+      "learning_rate": 0.0001686692645324938,
+      "loss": 0.9993,
+      "step": 253
+    },
+    {
+      "epoch": 1.0694736842105264,
+      "grad_norm": 0.78125,
+      "learning_rate": 0.00016842540712263637,
+      "loss": 1.2847,
+      "step": 254
+    },
+    {
+      "epoch": 1.0736842105263158,
+      "grad_norm": 0.48046875,
+      "learning_rate": 0.0001681807821550438,
+      "loss": 1.1483,
+      "step": 255
+    },
+    {
+      "epoch": 1.0778947368421052,
+      "grad_norm": 0.73046875,
+      "learning_rate": 0.00016793539237378128,
+      "loss": 0.7895,
+      "step": 256
+    },
+    {
+      "epoch": 1.0821052631578947,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00016768924053149338,
+      "loss": 1.2321,
+      "step": 257
+    },
+    {
+      "epoch": 1.0863157894736841,
+      "grad_norm": 0.291015625,
+      "learning_rate": 0.00016744232938937308,
+      "loss": 1.0098,
+      "step": 258
+    },
+    {
+      "epoch": 1.0905263157894738,
+      "grad_norm": 0.470703125,
+      "learning_rate": 0.00016719466171713073,
+      "loss": 1.3362,
+      "step": 259
+    },
+    {
+      "epoch": 1.0947368421052632,
+      "grad_norm": 0.2890625,
+      "learning_rate": 0.0001669462402929629,
+      "loss": 1.2487,
+      "step": 260
+    },
+    {
+      "epoch": 1.0989473684210527,
+      "grad_norm": 0.39453125,
+      "learning_rate": 0.00016669706790352148,
+      "loss": 1.1732,
+      "step": 261
+    },
+    {
+      "epoch": 1.1031578947368421,
+      "grad_norm": 0.28125,
+      "learning_rate": 0.00016644714734388217,
+      "loss": 1.1493,
+      "step": 262
+    },
+    {
+      "epoch": 1.1073684210526316,
+      "grad_norm": 0.314453125,
+      "learning_rate": 0.0001661964814175133,
+      "loss": 1.0521,
+      "step": 263
+    },
+    {
+      "epoch": 1.111578947368421,
+      "grad_norm": 0.53125,
+      "learning_rate": 0.00016594507293624425,
+      "loss": 1.07,
+      "step": 264
+    },
+    {
+      "epoch": 1.1157894736842104,
+      "grad_norm": 0.2890625,
+      "learning_rate": 0.00016569292472023392,
+      "loss": 1.1393,
+      "step": 265
+    },
+    {
+      "epoch": 1.12,
+      "grad_norm": 0.390625,
+      "learning_rate": 0.00016544003959793925,
+      "loss": 1.2059,
+      "step": 266
+    },
+    {
+      "epoch": 1.1242105263157895,
+      "grad_norm": 0.494140625,
+      "learning_rate": 0.0001651864204060833,
+      "loss": 0.9832,
+      "step": 267
+    },
+    {
+      "epoch": 1.128421052631579,
+      "grad_norm": 0.376953125,
+      "learning_rate": 0.00016493206998962354,
+      "loss": 0.9154,
+      "step": 268
+    },
+    {
+      "epoch": 1.1326315789473684,
+      "grad_norm": 0.39453125,
+      "learning_rate": 0.00016467699120171987,
+      "loss": 1.0839,
+      "step": 269
+    },
+    {
+      "epoch": 1.1368421052631579,
+      "grad_norm": 0.94140625,
+      "learning_rate": 0.0001644211869037027,
+      "loss": 1.1298,
+      "step": 270
+    },
+    {
+      "epoch": 1.1410526315789473,
+      "grad_norm": 0.341796875,
+      "learning_rate": 0.00016416465996504077,
+      "loss": 1.131,
+      "step": 271
+    },
+    {
+      "epoch": 1.1452631578947368,
+      "grad_norm": 0.90234375,
+      "learning_rate": 0.00016390741326330907,
+      "loss": 1.0148,
+      "step": 272
+    },
+    {
+      "epoch": 1.1494736842105264,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.00016364944968415632,
+      "loss": 0.788,
+      "step": 273
+    },
+    {
+      "epoch": 1.1536842105263159,
+      "grad_norm": 0.294921875,
+      "learning_rate": 0.00016339077212127294,
+      "loss": 0.9585,
+      "step": 274
+    },
+    {
+      "epoch": 1.1578947368421053,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.00016313138347635837,
+      "loss": 0.9937,
+      "step": 275
+    },
+    {
+      "epoch": 1.1621052631578948,
+      "grad_norm": 0.251953125,
+      "learning_rate": 0.0001628712866590885,
+      "loss": 1.069,
+      "step": 276
+    },
+    {
+      "epoch": 1.1663157894736842,
+      "grad_norm": 0.384765625,
+      "learning_rate": 0.00016261048458708318,
+      "loss": 1.2734,
+      "step": 277
+    },
+    {
+      "epoch": 1.1705263157894736,
+      "grad_norm": 0.66015625,
+      "learning_rate": 0.00016234898018587337,
+      "loss": 1.1955,
+      "step": 278
+    },
+    {
+      "epoch": 1.174736842105263,
+      "grad_norm": 0.3984375,
+      "learning_rate": 0.00016208677638886835,
+      "loss": 0.9949,
+      "step": 279
+    },
+    {
+      "epoch": 1.1789473684210527,
+      "grad_norm": 0.33984375,
+      "learning_rate": 0.00016182387613732291,
+      "loss": 1.1192,
+      "step": 280
+    },
+    {
+      "epoch": 1.1831578947368422,
+      "grad_norm": 0.4765625,
+      "learning_rate": 0.00016156028238030422,
+      "loss": 1.165,
+      "step": 281
+    },
+    {
+      "epoch": 1.1873684210526316,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00016129599807465875,
+      "loss": 0.9109,
+      "step": 282
+    },
+    {
+      "epoch": 1.191578947368421,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.00016103102618497922,
+      "loss": 0.9441,
+      "step": 283
+    },
+    {
+      "epoch": 1.1957894736842105,
+      "grad_norm": 0.7109375,
+      "learning_rate": 0.0001607653696835713,
+      "loss": 1.3679,
+      "step": 284
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 0.3671875,
+      "learning_rate": 0.0001604990315504202,
+      "loss": 0.8203,
+      "step": 285
+    },
+    {
+      "epoch": 1.2042105263157894,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00016023201477315731,
+      "loss": 1.052,
+      "step": 286
+    },
+    {
+      "epoch": 1.208421052631579,
+      "grad_norm": 0.72265625,
+      "learning_rate": 0.00015996432234702666,
+      "loss": 1.281,
+      "step": 287
+    },
+    {
+      "epoch": 1.2126315789473685,
+      "grad_norm": 0.44921875,
+      "learning_rate": 0.0001596959572748514,
+      "loss": 1.1851,
+      "step": 288
+    },
+    {
+      "epoch": 1.216842105263158,
+      "grad_norm": 1.3515625,
+      "learning_rate": 0.0001594269225669999,
+      "loss": 1.1378,
+      "step": 289
+    },
+    {
+      "epoch": 1.2210526315789474,
+      "grad_norm": 0.337890625,
+      "learning_rate": 0.00015915722124135227,
+      "loss": 0.7495,
+      "step": 290
+    },
+    {
+      "epoch": 1.2252631578947368,
+      "grad_norm": 0.45703125,
+      "learning_rate": 0.00015888685632326627,
+      "loss": 1.0089,
+      "step": 291
+    },
+    {
+      "epoch": 1.2294736842105263,
+      "grad_norm": 0.470703125,
+      "learning_rate": 0.00015861583084554349,
+      "loss": 0.7145,
+      "step": 292
+    },
+    {
+      "epoch": 1.2336842105263157,
+      "grad_norm": 0.4375,
+      "learning_rate": 0.00015834414784839532,
+      "loss": 1.1728,
+      "step": 293
+    },
+    {
+      "epoch": 1.2378947368421054,
+      "grad_norm": 1.5703125,
+      "learning_rate": 0.0001580718103794089,
+      "loss": 1.351,
+      "step": 294
+    },
+    {
+      "epoch": 1.2421052631578948,
+      "grad_norm": 0.6171875,
+      "learning_rate": 0.0001577988214935127,
+      "loss": 1.0116,
+      "step": 295
+    },
+    {
+      "epoch": 1.2463157894736843,
+      "grad_norm": 0.392578125,
+      "learning_rate": 0.00015752518425294257,
+      "loss": 1.1591,
+      "step": 296
+    },
+    {
+      "epoch": 1.2505263157894737,
+      "grad_norm": 0.44140625,
+      "learning_rate": 0.0001572509017272072,
+      "loss": 1.0848,
+      "step": 297
+    },
+    {
+      "epoch": 1.2547368421052632,
+      "grad_norm": 0.43359375,
+      "learning_rate": 0.00015697597699305366,
+      "loss": 1.0024,
+      "step": 298
+    },
+    {
+      "epoch": 1.2589473684210526,
+      "grad_norm": 0.470703125,
+      "learning_rate": 0.00015670041313443304,
+      "loss": 1.072,
+      "step": 299
+    },
+    {
+      "epoch": 1.263157894736842,
+      "grad_norm": 0.34375,
+      "learning_rate": 0.00015642421324246568,
+      "loss": 1.1825,
+      "step": 300
+    },
+    {
+      "epoch": 1.263157894736842,
+      "eval_loss": 1.207429051399231,
+      "eval_runtime": 25.9189,
+      "eval_samples_per_second": 3.858,
+      "eval_steps_per_second": 1.929,
+      "step": 300
+    },
+    {
+      "epoch": 1.2673684210526317,
+      "grad_norm": 1.0234375,
+      "learning_rate": 0.00015614738041540668,
+      "loss": 0.8984,
+      "step": 301
+    },
+    {
+      "epoch": 1.271578947368421,
+      "grad_norm": 0.29296875,
+      "learning_rate": 0.00015586991775861102,
+      "loss": 0.9569,
+      "step": 302
+    },
+    {
+      "epoch": 1.2757894736842106,
+      "grad_norm": 0.59375,
+      "learning_rate": 0.00015559182838449873,
+      "loss": 1.177,
+      "step": 303
+    },
+    {
+      "epoch": 1.28,
+      "grad_norm": 0.416015625,
+      "learning_rate": 0.00015531311541251995,
+      "loss": 0.9957,
+      "step": 304
+    },
+    {
+      "epoch": 1.2842105263157895,
+      "grad_norm": 0.47265625,
+      "learning_rate": 0.00015503378196912013,
+      "loss": 0.8083,
+      "step": 305
+    },
+    {
+      "epoch": 1.288421052631579,
+      "grad_norm": 0.7734375,
+      "learning_rate": 0.00015475383118770472,
+      "loss": 1.0463,
+      "step": 306
+    },
+    {
+      "epoch": 1.2926315789473684,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00015447326620860415,
+      "loss": 1.0709,
+      "step": 307
+    },
+    {
+      "epoch": 1.296842105263158,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.00015419209017903852,
+      "loss": 1.2547,
+      "step": 308
+    },
+    {
+      "epoch": 1.3010526315789472,
+      "grad_norm": 0.3671875,
+      "learning_rate": 0.00015391030625308249,
+      "loss": 0.8027,
+      "step": 309
+    },
+    {
+      "epoch": 1.305263157894737,
+      "grad_norm": 0.28515625,
+      "learning_rate": 0.0001536279175916296,
+      "loss": 1.0735,
+      "step": 310
+    },
+    {
+      "epoch": 1.3094736842105263,
+      "grad_norm": 0.625,
+      "learning_rate": 0.00015334492736235705,
+      "loss": 1.0046,
+      "step": 311
+    },
+    {
+      "epoch": 1.3136842105263158,
+      "grad_norm": 0.83203125,
+      "learning_rate": 0.0001530613387396901,
+      "loss": 1.1327,
+      "step": 312
+    },
+    {
+      "epoch": 1.3178947368421052,
+      "grad_norm": 0.515625,
+      "learning_rate": 0.00015277715490476641,
+      "loss": 0.9917,
+      "step": 313
+    },
+    {
+      "epoch": 1.3221052631578947,
+      "grad_norm": 0.359375,
+      "learning_rate": 0.0001524923790454004,
+      "loss": 1.2532,
+      "step": 314
+    },
+    {
+      "epoch": 1.3263157894736843,
+      "grad_norm": 0.306640625,
+      "learning_rate": 0.0001522070143560476,
+      "loss": 0.9906,
+      "step": 315
+    },
+    {
+      "epoch": 1.3305263157894736,
+      "grad_norm": 0.33984375,
+      "learning_rate": 0.00015192106403776848,
+      "loss": 1.0958,
+      "step": 316
+    },
+    {
+      "epoch": 1.3347368421052632,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.000151634531298193,
+      "loss": 1.1674,
+      "step": 317
+    },
+    {
+      "epoch": 1.3389473684210527,
+      "grad_norm": 0.45703125,
+      "learning_rate": 0.0001513474193514842,
+      "loss": 0.9189,
+      "step": 318
+    },
+    {
+      "epoch": 1.343157894736842,
+      "grad_norm": 0.55078125,
+      "learning_rate": 0.0001510597314183025,
+      "loss": 1.2956,
+      "step": 319
+    },
+    {
+      "epoch": 1.3473684210526315,
+      "grad_norm": 0.41015625,
+      "learning_rate": 0.00015077147072576933,
+      "loss": 1.3053,
+      "step": 320
+    },
+    {
+      "epoch": 1.351578947368421,
+      "grad_norm": 0.421875,
+      "learning_rate": 0.00015048264050743096,
+      "loss": 1.26,
+      "step": 321
+    },
+    {
+      "epoch": 1.3557894736842107,
+      "grad_norm": 0.318359375,
+      "learning_rate": 0.00015019324400322243,
+      "loss": 1.1314,
+      "step": 322
+    },
+    {
+      "epoch": 1.3599999999999999,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.00014990328445943092,
+      "loss": 1.1536,
+      "step": 323
+    },
+    {
+      "epoch": 1.3642105263157895,
+      "grad_norm": 0.365234375,
+      "learning_rate": 0.00014961276512865954,
+      "loss": 0.8678,
+      "step": 324
+    },
+    {
+      "epoch": 1.368421052631579,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.00014932168926979074,
+      "loss": 1.0508,
+      "step": 325
+    },
+    {
+      "epoch": 1.3726315789473684,
+      "grad_norm": 0.333984375,
+      "learning_rate": 0.00014903006014794983,
+      "loss": 0.9275,
+      "step": 326
+    },
+    {
+      "epoch": 1.3768421052631579,
+      "grad_norm": 0.61328125,
+      "learning_rate": 0.00014873788103446825,
+      "loss": 1.0225,
+      "step": 327
+    },
+    {
+      "epoch": 1.3810526315789473,
+      "grad_norm": 0.357421875,
+      "learning_rate": 0.00014844515520684703,
+      "loss": 0.9955,
+      "step": 328
+    },
+    {
+      "epoch": 1.385263157894737,
+      "grad_norm": 0.6328125,
+      "learning_rate": 0.00014815188594871983,
+      "loss": 1.2857,
+      "step": 329
+    },
+    {
+      "epoch": 1.3894736842105262,
+      "grad_norm": 0.5078125,
+      "learning_rate": 0.00014785807654981627,
+      "loss": 1.0598,
+      "step": 330
+    },
+    {
+      "epoch": 1.3936842105263159,
+      "grad_norm": 0.96484375,
+      "learning_rate": 0.00014756373030592497,
+      "loss": 1.1031,
+      "step": 331
+    },
+    {
+      "epoch": 1.3978947368421053,
+      "grad_norm": 0.380859375,
+      "learning_rate": 0.00014726885051885653,
+      "loss": 1.3287,
+      "step": 332
+    },
+    {
+      "epoch": 1.4021052631578947,
+      "grad_norm": 0.5859375,
+      "learning_rate": 0.00014697344049640658,
+      "loss": 1.1952,
+      "step": 333
+    },
+    {
+      "epoch": 1.4063157894736842,
+      "grad_norm": 0.453125,
+      "learning_rate": 0.0001466775035523186,
+      "loss": 1.083,
+      "step": 334
+    },
+    {
+      "epoch": 1.4105263157894736,
+      "grad_norm": 0.37890625,
+      "learning_rate": 0.00014638104300624685,
+      "loss": 0.8393,
+      "step": 335
+    },
+    {
+      "epoch": 1.4147368421052633,
+      "grad_norm": 0.9921875,
+      "learning_rate": 0.00014608406218371894,
+      "loss": 1.3947,
+      "step": 336
+    },
+    {
+      "epoch": 1.4189473684210525,
+      "grad_norm": 0.357421875,
+      "learning_rate": 0.0001457865644160987,
+      "loss": 1.028,
+      "step": 337
+    },
+    {
+      "epoch": 1.4231578947368422,
+      "grad_norm": 0.671875,
+      "learning_rate": 0.00014548855304054886,
+      "loss": 1.1156,
+      "step": 338
+    },
+    {
+      "epoch": 1.4273684210526316,
+      "grad_norm": 0.6953125,
+      "learning_rate": 0.00014519003139999337,
+      "loss": 1.1537,
+      "step": 339
+    },
+    {
+      "epoch": 1.431578947368421,
+      "grad_norm": 0.408203125,
+      "learning_rate": 0.00014489100284308017,
+      "loss": 1.207,
+      "step": 340
+    },
+    {
+      "epoch": 1.4357894736842105,
+      "grad_norm": 0.56640625,
+      "learning_rate": 0.00014459147072414335,
+      "loss": 1.125,
+      "step": 341
+    },
+    {
+      "epoch": 1.44,
+      "grad_norm": 0.423828125,
+      "learning_rate": 0.00014429143840316585,
+      "loss": 1.0774,
+      "step": 342
+    },
+    {
+      "epoch": 1.4442105263157896,
+      "grad_norm": 1.0859375,
+      "learning_rate": 0.0001439909092457415,
+      "loss": 1.3349,
+      "step": 343
+    },
+    {
+      "epoch": 1.4484210526315788,
+      "grad_norm": 0.55078125,
+      "learning_rate": 0.00014368988662303732,
+      "loss": 0.6138,
+      "step": 344
+    },
+    {
+      "epoch": 1.4526315789473685,
+      "grad_norm": 0.330078125,
+      "learning_rate": 0.00014338837391175582,
+      "loss": 1.1961,
+      "step": 345
+    },
+    {
+      "epoch": 1.456842105263158,
+      "grad_norm": 0.54296875,
+      "learning_rate": 0.00014308637449409706,
+      "loss": 1.067,
+      "step": 346
+    },
+    {
+      "epoch": 1.4610526315789474,
+      "grad_norm": 0.294921875,
+      "learning_rate": 0.0001427838917577206,
+      "loss": 1.0033,
+      "step": 347
+    },
+    {
+      "epoch": 1.4652631578947368,
+      "grad_norm": 0.494140625,
+      "learning_rate": 0.00014248092909570774,
+      "loss": 1.011,
+      "step": 348
+    },
+    {
+      "epoch": 1.4694736842105263,
+      "grad_norm": 0.75,
+      "learning_rate": 0.00014217748990652318,
+      "loss": 1.3504,
+      "step": 349
+    },
+    {
+      "epoch": 1.4736842105263157,
+      "grad_norm": 0.41796875,
+      "learning_rate": 0.00014187357759397714,
+      "loss": 1.0421,
+      "step": 350
+    },
+    {
+      "epoch": 1.4778947368421052,
+      "grad_norm": 0.73828125,
+      "learning_rate": 0.00014156919556718698,
+      "loss": 1.1829,
+      "step": 351
+    },
+    {
+      "epoch": 1.4821052631578948,
+      "grad_norm": 0.31640625,
+      "learning_rate": 0.00014126434724053913,
+      "loss": 1.1985,
+      "step": 352
+    },
+    {
+      "epoch": 1.4863157894736843,
+      "grad_norm": 0.41015625,
+      "learning_rate": 0.00014095903603365066,
+      "loss": 1.1609,
+      "step": 353
+    },
+    {
+      "epoch": 1.4905263157894737,
+      "grad_norm": 0.345703125,
+      "learning_rate": 0.00014065326537133094,
+      "loss": 1.2552,
+      "step": 354
+    },
+    {
+      "epoch": 1.4947368421052631,
+      "grad_norm": 1.2265625,
+      "learning_rate": 0.0001403470386835434,
+      "loss": 0.9655,
+      "step": 355
+    },
+    {
+      "epoch": 1.4989473684210526,
+      "grad_norm": 0.46875,
+      "learning_rate": 0.0001400403594053667,
+      "loss": 0.9709,
+      "step": 356
+    },
+    {
+      "epoch": 1.5031578947368422,
+      "grad_norm": 0.703125,
+      "learning_rate": 0.00013973323097695657,
+      "loss": 1.048,
+      "step": 357
+    },
+    {
+      "epoch": 1.5073684210526315,
+      "grad_norm": 0.494140625,
+      "learning_rate": 0.00013942565684350698,
+      "loss": 1.0853,
+      "step": 358
+    },
+    {
+      "epoch": 1.5115789473684211,
+      "grad_norm": 0.9140625,
+      "learning_rate": 0.00013911764045521159,
+      "loss": 1.1191,
+      "step": 359
+    },
+    {
+      "epoch": 1.5157894736842106,
+      "grad_norm": 0.478515625,
+      "learning_rate": 0.00013880918526722497,
+      "loss": 0.9782,
+      "step": 360
+    },
+    {
+      "epoch": 1.5157894736842106,
+      "eval_loss": 1.2060081958770752,
+      "eval_runtime": 25.9425,
+      "eval_samples_per_second": 3.855,
+      "eval_steps_per_second": 1.927,
+      "step": 360
+    },
+    {
+      "epoch": 1.52,
+      "grad_norm": 0.361328125,
+      "learning_rate": 0.00013850029473962402,
+      "loss": 0.9822,
+      "step": 361
+    },
+    {
+      "epoch": 1.5242105263157895,
+      "grad_norm": 0.44921875,
+      "learning_rate": 0.00013819097233736888,
+      "loss": 0.957,
+      "step": 362
+    },
+    {
+      "epoch": 1.528421052631579,
+      "grad_norm": 0.478515625,
+      "learning_rate": 0.0001378812215302644,
+      "loss": 0.9774,
+      "step": 363
+    },
+    {
+      "epoch": 1.5326315789473686,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.00013757104579292082,
+      "loss": 1.2854,
+      "step": 364
+    },
+    {
+      "epoch": 1.5368421052631578,
+      "grad_norm": 0.671875,
+      "learning_rate": 0.00013726044860471522,
+      "loss": 0.9209,
+      "step": 365
+    },
+    {
+      "epoch": 1.5410526315789475,
+      "grad_norm": 0.400390625,
+      "learning_rate": 0.00013694943344975212,
+      "loss": 0.9489,
+      "step": 366
+    },
+    {
+      "epoch": 1.545263157894737,
+      "grad_norm": 0.625,
+      "learning_rate": 0.00013663800381682464,
+      "loss": 1.2956,
+      "step": 367
+    },
+    {
+      "epoch": 1.5494736842105263,
+      "grad_norm": 0.3203125,
+      "learning_rate": 0.00013632616319937522,
+      "loss": 1.0642,
+      "step": 368
+    },
+    {
+      "epoch": 1.5536842105263158,
+      "grad_norm": 0.296875,
+      "learning_rate": 0.0001360139150954566,
+      "loss": 1.034,
+      "step": 369
+    },
+    {
+      "epoch": 1.5578947368421052,
+      "grad_norm": 0.5234375,
+      "learning_rate": 0.00013570126300769232,
+      "loss": 0.8314,
+      "step": 370
+    },
+    {
+      "epoch": 1.5621052631578949,
+      "grad_norm": 0.279296875,
+      "learning_rate": 0.00013538821044323772,
+      "loss": 1.1934,
+      "step": 371
+    },
+    {
+      "epoch": 1.566315789473684,
+      "grad_norm": 0.353515625,
+      "learning_rate": 0.0001350747609137404,
+      "loss": 1.2661,
+      "step": 372
+    },
+    {
+      "epoch": 1.5705263157894738,
+      "grad_norm": 0.27734375,
+      "learning_rate": 0.00013476091793530092,
+      "loss": 0.9746,
+      "step": 373
+    },
+    {
+      "epoch": 1.5747368421052632,
+      "grad_norm": 0.49609375,
+      "learning_rate": 0.0001344466850284333,
+      "loss": 1.0562,
+      "step": 374
+    },
+    {
+      "epoch": 1.5789473684210527,
+      "grad_norm": 0.27734375,
+      "learning_rate": 0.00013413206571802558,
+      "loss": 0.8612,
+      "step": 375
+    },
+    {
+      "epoch": 1.583157894736842,
+      "grad_norm": 0.51953125,
+      "learning_rate": 0.00013381706353330014,
+      "loss": 0.7912,
+      "step": 376
+    },
+    {
+      "epoch": 1.5873684210526315,
+      "grad_norm": 0.45703125,
+      "learning_rate": 0.00013350168200777448,
+      "loss": 1.0244,
+      "step": 377
+    },
+    {
+      "epoch": 1.5915789473684212,
+      "grad_norm": 0.5703125,
+      "learning_rate": 0.0001331859246792211,
+      "loss": 1.1267,
+      "step": 378
+    },
+    {
+      "epoch": 1.5957894736842104,
+      "grad_norm": 0.48828125,
+      "learning_rate": 0.00013286979508962815,
+      "loss": 1.0055,
+      "step": 379
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 0.310546875,
+      "learning_rate": 0.0001325532967851596,
+      "loss": 1.2348,
+      "step": 380
+    },
+    {
+      "epoch": 1.6042105263157893,
+      "grad_norm": 0.369140625,
+      "learning_rate": 0.00013223643331611537,
+      "loss": 0.991,
+      "step": 381
+    },
+    {
+      "epoch": 1.608421052631579,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00013191920823689177,
+      "loss": 1.0261,
+      "step": 382
+    },
+    {
+      "epoch": 1.6126315789473684,
+      "grad_norm": 0.90234375,
+      "learning_rate": 0.00013160162510594123,
+      "loss": 1.0752,
+      "step": 383
+    },
+    {
+      "epoch": 1.6168421052631579,
+      "grad_norm": 1.1796875,
+      "learning_rate": 0.00013128368748573273,
+      "loss": 1.1808,
+      "step": 384
+    },
+    {
+      "epoch": 1.6210526315789475,
+      "grad_norm": 0.40625,
+      "learning_rate": 0.0001309653989427117,
+      "loss": 0.8969,
+      "step": 385
+    },
+    {
+      "epoch": 1.6252631578947367,
+      "grad_norm": 0.53515625,
+      "learning_rate": 0.00013064676304726,
+      "loss": 1.1139,
+      "step": 386
+    },
+    {
+      "epoch": 1.6294736842105264,
+      "grad_norm": 0.478515625,
+      "learning_rate": 0.00013032778337365592,
+      "loss": 1.2781,
+      "step": 387
+    },
+    {
+      "epoch": 1.6336842105263156,
+      "grad_norm": 0.66796875,
+      "learning_rate": 0.0001300084635000341,
+      "loss": 1.1434,
+      "step": 388
+    },
+    {
+      "epoch": 1.6378947368421053,
+      "grad_norm": 0.33984375,
+      "learning_rate": 0.00012968880700834517,
+      "loss": 0.7428,
+      "step": 389
+    },
+    {
+      "epoch": 1.6421052631578947,
+      "grad_norm": 0.357421875,
+      "learning_rate": 0.000129368817484316,
+      "loss": 1.256,
+      "step": 390
+    },
+    {
+      "epoch": 1.6463157894736842,
+      "grad_norm": 0.384765625,
+      "learning_rate": 0.00012904849851740906,
+      "loss": 1.1516,
+      "step": 391
+    },
+    {
+      "epoch": 1.6505263157894738,
+      "grad_norm": 0.62890625,
+      "learning_rate": 0.0001287278537007824,
+      "loss": 1.1683,
+      "step": 392
+    },
+    {
+      "epoch": 1.654736842105263,
+      "grad_norm": 0.4140625,
+      "learning_rate": 0.0001284068866312492,
+      "loss": 0.9682,
+      "step": 393
+    },
+    {
+      "epoch": 1.6589473684210527,
+      "grad_norm": 0.36328125,
+      "learning_rate": 0.00012808560090923758,
+      "loss": 1.2109,
+      "step": 394
+    },
+    {
+      "epoch": 1.663157894736842,
+      "grad_norm": 0.3125,
+      "learning_rate": 0.00012776400013875006,
+      "loss": 1.1139,
+      "step": 395
+    },
+    {
+      "epoch": 1.6673684210526316,
+      "grad_norm": 0.453125,
+      "learning_rate": 0.00012744208792732324,
+      "loss": 1.0977,
+      "step": 396
+    },
+    {
+      "epoch": 1.671578947368421,
+      "grad_norm": 0.44140625,
+      "learning_rate": 0.00012711986788598725,
+      "loss": 1.1872,
+      "step": 397
+    },
+    {
+      "epoch": 1.6757894736842105,
+      "grad_norm": 0.59765625,
+      "learning_rate": 0.00012679734362922528,
+      "loss": 1.0773,
+      "step": 398
+    },
+    {
+      "epoch": 1.6800000000000002,
+      "grad_norm": 0.265625,
+      "learning_rate": 0.00012647451877493307,
+      "loss": 0.6203,
+      "step": 399
+    },
+    {
+      "epoch": 1.6842105263157894,
+      "grad_norm": 0.5078125,
+      "learning_rate": 0.00012615139694437835,
+      "loss": 1.1557,
+      "step": 400
+    },
+    {
+      "epoch": 1.688421052631579,
+      "grad_norm": 0.578125,
+      "learning_rate": 0.00012582798176215997,
+      "loss": 1.1022,
+      "step": 401
+    },
+    {
+      "epoch": 1.6926315789473683,
+      "grad_norm": 0.4609375,
+      "learning_rate": 0.00012550427685616765,
+      "loss": 1.193,
+      "step": 402
+    },
+    {
+      "epoch": 1.696842105263158,
+      "grad_norm": 0.455078125,
+      "learning_rate": 0.00012518028585754094,
+      "loss": 0.8758,
+      "step": 403
+    },
+    {
+      "epoch": 1.7010526315789474,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00012485601240062869,
+      "loss": 0.9792,
+      "step": 404
+    },
+    {
+      "epoch": 1.7052631578947368,
+      "grad_norm": 0.3046875,
+      "learning_rate": 0.00012453146012294812,
+      "loss": 1.1347,
+      "step": 405
+    },
+    {
+      "epoch": 1.7094736842105265,
+      "grad_norm": 0.439453125,
+      "learning_rate": 0.00012420663266514417,
+      "loss": 1.1692,
+      "step": 406
+    },
+    {
+      "epoch": 1.7136842105263157,
+      "grad_norm": 0.33203125,
+      "learning_rate": 0.00012388153367094858,
+      "loss": 0.9904,
+      "step": 407
+    },
+    {
+      "epoch": 1.7178947368421054,
+      "grad_norm": 0.62109375,
+      "learning_rate": 0.0001235561667871391,
+      "loss": 0.8854,
+      "step": 408
+    },
+    {
+      "epoch": 1.7221052631578946,
+      "grad_norm": 0.52734375,
+      "learning_rate": 0.00012323053566349834,
+      "loss": 1.3143,
+      "step": 409
+    },
+    {
+      "epoch": 1.7263157894736842,
+      "grad_norm": 0.390625,
+      "learning_rate": 0.0001229046439527732,
+      "loss": 1.0957,
+      "step": 410
+    },
+    {
+      "epoch": 1.7305263157894737,
+      "grad_norm": 0.494140625,
+      "learning_rate": 0.00012257849531063352,
+      "loss": 1.0458,
+      "step": 411
+    },
+    {
+      "epoch": 1.7347368421052631,
+      "grad_norm": 0.34375,
+      "learning_rate": 0.00012225209339563145,
+      "loss": 1.3262,
+      "step": 412
+    },
+    {
+      "epoch": 1.7389473684210528,
+      "grad_norm": 0.32421875,
+      "learning_rate": 0.00012192544186916006,
+      "loss": 1.1506,
+      "step": 413
+    },
+    {
+      "epoch": 1.743157894736842,
+      "grad_norm": 0.671875,
+      "learning_rate": 0.00012159854439541245,
+      "loss": 1.035,
+      "step": 414
+    },
+    {
+      "epoch": 1.7473684210526317,
+      "grad_norm": 0.4453125,
+      "learning_rate": 0.00012127140464134066,
+      "loss": 1.3485,
+      "step": 415
+    },
+    {
+      "epoch": 1.751578947368421,
+      "grad_norm": 0.439453125,
+      "learning_rate": 0.00012094402627661447,
+      "loss": 1.1842,
+      "step": 416
+    },
+    {
+      "epoch": 1.7557894736842106,
+      "grad_norm": 0.51171875,
+      "learning_rate": 0.00012061641297358022,
+      "loss": 1.4594,
+      "step": 417
+    },
+    {
+      "epoch": 1.76,
+      "grad_norm": 0.34375,
+      "learning_rate": 0.00012028856840721974,
+      "loss": 1.1014,
+      "step": 418
+    },
+    {
+      "epoch": 1.7642105263157895,
+      "grad_norm": 0.640625,
+      "learning_rate": 0.00011996049625510901,
+      "loss": 0.7333,
+      "step": 419
+    },
+    {
+      "epoch": 1.768421052631579,
+      "grad_norm": 0.5859375,
+      "learning_rate": 0.00011963220019737691,
+      "loss": 1.2063,
+      "step": 420
+    },
+    {
+      "epoch": 1.768421052631579,
+      "eval_loss": 1.199410080909729,
+      "eval_runtime": 25.8809,
+      "eval_samples_per_second": 3.864,
+      "eval_steps_per_second": 1.932,
+      "step": 420
+    },
+    {
+      "epoch": 1.7726315789473683,
+      "grad_norm": 0.73046875,
+      "learning_rate": 0.00011930368391666398,
+      "loss": 1.2112,
+      "step": 421
+    },
+    {
+      "epoch": 1.776842105263158,
+      "grad_norm": 0.67578125,
+      "learning_rate": 0.00011897495109808107,
+      "loss": 1.0342,
+      "step": 422
+    },
+    {
+      "epoch": 1.7810526315789472,
+      "grad_norm": 0.376953125,
+      "learning_rate": 0.00011864600542916813,
+      "loss": 1.2239,
+      "step": 423
+    },
+    {
+      "epoch": 1.7852631578947369,
+      "grad_norm": 0.361328125,
+      "learning_rate": 0.00011831685059985262,
+      "loss": 0.9817,
+      "step": 424
+    },
+    {
+      "epoch": 1.7894736842105263,
+      "grad_norm": 0.30859375,
+      "learning_rate": 0.00011798749030240834,
+      "loss": 1.3617,
+      "step": 425
+    },
+    {
+      "epoch": 1.7936842105263158,
+      "grad_norm": 0.7265625,
+      "learning_rate": 0.00011765792823141384,
+      "loss": 1.2746,
+      "step": 426
+    },
+    {
+      "epoch": 1.7978947368421052,
+      "grad_norm": 0.484375,
+      "learning_rate": 0.00011732816808371115,
+      "loss": 1.471,
+      "step": 427
+    },
+    {
+      "epoch": 1.8021052631578947,
+      "grad_norm": 0.349609375,
+      "learning_rate": 0.00011699821355836409,
+      "loss": 1.1071,
+      "step": 428
+    },
+    {
+      "epoch": 1.8063157894736843,
+      "grad_norm": 0.26953125,
+      "learning_rate": 0.00011666806835661699,
+      "loss": 1.0702,
+      "step": 429
+    },
+    {
+      "epoch": 1.8105263157894735,
+      "grad_norm": 0.31640625,
+      "learning_rate": 0.00011633773618185302,
+      "loss": 1.2166,
+      "step": 430
+    },
+    {
+      "epoch": 1.8147368421052632,
+      "grad_norm": 0.36328125,
+      "learning_rate": 0.00011600722073955282,
+      "loss": 1.1926,
+      "step": 431
+    },
+    {
+      "epoch": 1.8189473684210526,
+      "grad_norm": 0.35546875,
+      "learning_rate": 0.00011567652573725262,
+      "loss": 1.0472,
+      "step": 432
+    },
+    {
+      "epoch": 1.823157894736842,
+      "grad_norm": 0.765625,
+      "learning_rate": 0.00011534565488450311,
+      "loss": 0.9258,
+      "step": 433
+    },
+    {
+      "epoch": 1.8273684210526315,
+      "grad_norm": 0.765625,
+      "learning_rate": 0.00011501461189282733,
+      "loss": 1.6986,
+      "step": 434
+    },
+    {
+      "epoch": 1.831578947368421,
+      "grad_norm": 0.392578125,
+      "learning_rate": 0.00011468340047567947,
+      "loss": 1.1726,
+      "step": 435
+    },
+    {
+      "epoch": 1.8357894736842106,
+      "grad_norm": 0.412109375,
+      "learning_rate": 0.00011435202434840287,
+      "loss": 1.2373,
+      "step": 436
+    },
+    {
+      "epoch": 1.8399999999999999,
+      "grad_norm": 0.6015625,
+      "learning_rate": 0.0001140204872281886,
+      "loss": 0.7262,
+      "step": 437
+    },
+    {
+      "epoch": 1.8442105263157895,
+      "grad_norm": 0.490234375,
+      "learning_rate": 0.0001136887928340336,
+      "loss": 1.0527,
+      "step": 438
+    },
+    {
+      "epoch": 1.848421052631579,
+      "grad_norm": 0.453125,
+      "learning_rate": 0.00011335694488669904,
+      "loss": 0.89,
+      "step": 439
+    },
+    {
+      "epoch": 1.8526315789473684,
+      "grad_norm": 0.55859375,
+      "learning_rate": 0.00011302494710866857,
+      "loss": 1.109,
+      "step": 440
+    },
+    {
+      "epoch": 1.8568421052631578,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.00011269280322410658,
+      "loss": 1.0818,
+      "step": 441
+    },
+    {
+      "epoch": 1.8610526315789473,
+      "grad_norm": 0.3671875,
+      "learning_rate": 0.00011236051695881633,
+      "loss": 1.2366,
+      "step": 442
+    },
+    {
+      "epoch": 1.865263157894737,
+      "grad_norm": 0.427734375,
+      "learning_rate": 0.0001120280920401983,
+      "loss": 1.1401,
+      "step": 443
+    },
+    {
+      "epoch": 1.8694736842105262,
+      "grad_norm": 0.5,
+      "learning_rate": 0.00011169553219720828,
+      "loss": 1.0061,
+      "step": 444
+    },
+    {
+      "epoch": 1.8736842105263158,
+      "grad_norm": 0.43359375,
+      "learning_rate": 0.0001113628411603155,
+      "loss": 1.2742,
+      "step": 445
+    },
+    {
+      "epoch": 1.8778947368421053,
+      "grad_norm": 0.375,
+      "learning_rate": 0.00011103002266146096,
+      "loss": 1.296,
+      "step": 446
+    },
+    {
+      "epoch": 1.8821052631578947,
+      "grad_norm": 0.7578125,
+      "learning_rate": 0.0001106970804340154,
+      "loss": 0.9062,
+      "step": 447
+    },
+    {
+      "epoch": 1.8863157894736842,
+      "grad_norm": 0.44140625,
+      "learning_rate": 0.0001103640182127375,
+      "loss": 0.85,
+      "step": 448
+    },
+    {
+      "epoch": 1.8905263157894736,
+      "grad_norm": 0.6171875,
+      "learning_rate": 0.00011003083973373187,
+      "loss": 1.0045,
+      "step": 449
+    },
+    {
+      "epoch": 1.8947368421052633,
+      "grad_norm": 0.50390625,
+      "learning_rate": 0.00010969754873440743,
+      "loss": 0.8616,
+      "step": 450
+    },
+    {
+      "epoch": 1.8989473684210525,
+      "grad_norm": 0.5546875,
+      "learning_rate": 0.0001093641489534351,
+      "loss": 0.9867,
+      "step": 451
+    },
+    {
+      "epoch": 1.9031578947368422,
+      "grad_norm": 0.462890625,
+      "learning_rate": 0.00010903064413070612,
+      "loss": 1.1836,
+      "step": 452
+    },
+    {
+      "epoch": 1.9073684210526316,
+      "grad_norm": 0.515625,
+      "learning_rate": 0.00010869703800729,
+      "loss": 0.9996,
+      "step": 453
+    },
+    {
+      "epoch": 1.911578947368421,
+      "grad_norm": 0.5078125,
+      "learning_rate": 0.00010836333432539272,
+      "loss": 1.4083,
+      "step": 454
+    },
+    {
+      "epoch": 1.9157894736842105,
+      "grad_norm": 0.474609375,
+      "learning_rate": 0.0001080295368283144,
+      "loss": 0.9889,
+      "step": 455
+    },
+    {
+      "epoch": 1.92,
+      "grad_norm": 0.30078125,
+      "learning_rate": 0.00010769564926040769,
+      "loss": 0.8322,
+      "step": 456
+    },
+    {
+      "epoch": 1.9242105263157896,
+      "grad_norm": 1.171875,
+      "learning_rate": 0.00010736167536703556,
+      "loss": 0.8793,
+      "step": 457
+    },
+    {
+      "epoch": 1.9284210526315788,
+      "grad_norm": 0.59765625,
+      "learning_rate": 0.0001070276188945293,
+      "loss": 1.1383,
+      "step": 458
+    },
+    {
+      "epoch": 1.9326315789473685,
+      "grad_norm": 0.625,
+      "learning_rate": 0.00010669348359014657,
+      "loss": 1.2608,
+      "step": 459
+    },
+    {
+      "epoch": 1.936842105263158,
+      "grad_norm": 0.49609375,
+      "learning_rate": 0.00010635927320202928,
+      "loss": 1.1444,
+      "step": 460
+    },
+    {
+      "epoch": 1.9410526315789474,
+      "grad_norm": 0.6796875,
+      "learning_rate": 0.00010602499147916159,
+      "loss": 1.1779,
+      "step": 461
+    },
+    {
+      "epoch": 1.9452631578947368,
+      "grad_norm": 0.390625,
+      "learning_rate": 0.00010569064217132791,
+      "loss": 1.2066,
+      "step": 462
+    },
+    {
+      "epoch": 1.9494736842105262,
+      "grad_norm": 0.32421875,
+      "learning_rate": 0.00010535622902907072,
+      "loss": 1.3065,
+      "step": 463
+    },
+    {
+      "epoch": 1.953684210526316,
+      "grad_norm": 0.45703125,
+      "learning_rate": 0.00010502175580364857,
+      "loss": 0.9167,
+      "step": 464
+    },
+    {
+      "epoch": 1.9578947368421051,
+      "grad_norm": 0.8203125,
+      "learning_rate": 0.00010468722624699401,
+      "loss": 1.059,
+      "step": 465
+    },
+    {
+      "epoch": 1.9621052631578948,
+      "grad_norm": 0.93359375,
+      "learning_rate": 0.00010435264411167148,
+      "loss": 0.8437,
+      "step": 466
+    },
+    {
+      "epoch": 1.9663157894736842,
+      "grad_norm": 0.4453125,
+      "learning_rate": 0.00010401801315083519,
+      "loss": 1.1105,
+      "step": 467
+    },
+    {
+      "epoch": 1.9705263157894737,
+      "grad_norm": 0.81640625,
+      "learning_rate": 0.0001036833371181871,
+      "loss": 1.5699,
+      "step": 468
+    },
+    {
+      "epoch": 1.9747368421052631,
+      "grad_norm": 0.359375,
+      "learning_rate": 0.00010334861976793465,
+      "loss": 1.0942,
+      "step": 469
+    },
+    {
+      "epoch": 1.9789473684210526,
+      "grad_norm": 0.4765625,
+      "learning_rate": 0.00010301386485474889,
+      "loss": 0.923,
+      "step": 470
+    },
+    {
+      "epoch": 1.9831578947368422,
+      "grad_norm": 0.498046875,
+      "learning_rate": 0.00010267907613372217,
+      "loss": 1.123,
+      "step": 471
+    },
+    {
+      "epoch": 1.9873684210526315,
+      "grad_norm": 0.45703125,
+      "learning_rate": 0.00010234425736032607,
+      "loss": 1.1807,
+      "step": 472
+    },
+    {
+      "epoch": 1.9915789473684211,
+      "grad_norm": 0.53515625,
+      "learning_rate": 0.00010200941229036926,
+      "loss": 1.2465,
+      "step": 473
+    },
+    {
+      "epoch": 1.9957894736842106,
+      "grad_norm": 0.3984375,
+      "learning_rate": 0.00010167454467995549,
+      "loss": 0.9394,
+      "step": 474
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.0625,
+      "learning_rate": 0.00010133965828544128,
+      "loss": 1.0323,
+      "step": 475
+    },
+    {
+      "epoch": 2.0042105263157897,
+      "grad_norm": 0.318359375,
+      "learning_rate": 0.00010100475686339379,
+      "loss": 1.1268,
+      "step": 476
+    },
+    {
+      "epoch": 2.008421052631579,
+      "grad_norm": 0.416015625,
+      "learning_rate": 0.00010066984417054887,
+      "loss": 0.7652,
+      "step": 477
+    },
+    {
+      "epoch": 2.0126315789473685,
+      "grad_norm": 0.41015625,
+      "learning_rate": 0.00010033492396376878,
+      "loss": 1.0744,
+      "step": 478
+    },
+    {
+      "epoch": 2.0168421052631578,
+      "grad_norm": 0.296875,
+      "learning_rate": 0.0001,
+      "loss": 1.0926,
+      "step": 479
+    },
+    {
+      "epoch": 2.0210526315789474,
+      "grad_norm": 0.3671875,
+      "learning_rate": 9.966507603623125e-05,
+      "loss": 0.9614,
+      "step": 480
+    },
+    {
+      "epoch": 2.0210526315789474,
+      "eval_loss": 1.1929166316986084,
+      "eval_runtime": 25.8683,
+      "eval_samples_per_second": 3.866,
+      "eval_steps_per_second": 1.933,
+      "step": 480
+    },
+    {
+      "epoch": 2.0252631578947367,
+      "grad_norm": 0.48046875,
+      "learning_rate": 9.933015582945112e-05,
+      "loss": 1.0848,
+      "step": 481
+    },
+    {
+      "epoch": 2.0294736842105263,
+      "grad_norm": 0.361328125,
+      "learning_rate": 9.899524313660624e-05,
+      "loss": 1.0067,
+      "step": 482
+    },
+    {
+      "epoch": 2.033684210526316,
+      "grad_norm": 0.4375,
+      "learning_rate": 9.866034171455876e-05,
+      "loss": 0.7833,
+      "step": 483
+    },
+    {
+      "epoch": 2.037894736842105,
+      "grad_norm": 0.33984375,
+      "learning_rate": 9.832545532004454e-05,
+      "loss": 0.9732,
+      "step": 484
+    },
+    {
+      "epoch": 2.042105263157895,
+      "grad_norm": 0.341796875,
+      "learning_rate": 9.799058770963073e-05,
+      "loss": 0.6746,
+      "step": 485
+    },
+    {
+      "epoch": 2.046315789473684,
+      "grad_norm": 0.439453125,
+      "learning_rate": 9.765574263967396e-05,
+      "loss": 0.7767,
+      "step": 486
+    },
+    {
+      "epoch": 2.0505263157894738,
+      "grad_norm": 0.54296875,
+      "learning_rate": 9.732092386627787e-05,
+      "loss": 0.7498,
+      "step": 487
+    },
+    {
+      "epoch": 2.054736842105263,
+      "grad_norm": 0.55859375,
+      "learning_rate": 9.698613514525116e-05,
+      "loss": 0.6573,
+      "step": 488
+    },
+    {
+      "epoch": 2.0589473684210526,
+      "grad_norm": 0.40234375,
+      "learning_rate": 9.665138023206536e-05,
+      "loss": 0.6588,
+      "step": 489
+    },
+    {
+      "epoch": 2.0631578947368423,
+      "grad_norm": 0.37109375,
+      "learning_rate": 9.631666288181293e-05,
+      "loss": 0.9873,
+      "step": 490
+    },
+    {
+      "epoch": 2.0673684210526315,
+      "grad_norm": 0.44921875,
+      "learning_rate": 9.598198684916483e-05,
+      "loss": 0.7607,
+      "step": 491
+    },
+    {
+      "epoch": 2.071578947368421,
+      "grad_norm": 0.41015625,
+      "learning_rate": 9.564735588832856e-05,
+      "loss": 1.1862,
+      "step": 492
+    },
+    {
+      "epoch": 2.0757894736842104,
+      "grad_norm": 0.6328125,
+      "learning_rate": 9.531277375300599e-05,
+      "loss": 0.9608,
+      "step": 493
+    },
+    {
+      "epoch": 2.08,
+      "grad_norm": 0.82421875,
+      "learning_rate": 9.497824419635144e-05,
+      "loss": 0.6041,
+      "step": 494
+    },
+    {
+      "epoch": 2.0842105263157893,
+      "grad_norm": 0.60546875,
+      "learning_rate": 9.464377097092932e-05,
+      "loss": 1.4274,
+      "step": 495
+    },
+    {
+      "epoch": 2.088421052631579,
+      "grad_norm": 0.8671875,
+      "learning_rate": 9.430935782867212e-05,
+      "loss": 0.6098,
+      "step": 496
+    },
+    {
+      "epoch": 2.0926315789473686,
+      "grad_norm": 0.58984375,
+      "learning_rate": 9.397500852083841e-05,
+      "loss": 1.0759,
+      "step": 497
+    },
+    {
+      "epoch": 2.096842105263158,
+      "grad_norm": 0.5546875,
+      "learning_rate": 9.364072679797073e-05,
+      "loss": 0.8507,
+      "step": 498
+    },
+    {
+      "epoch": 2.1010526315789475,
+      "grad_norm": 1.09375,
+      "learning_rate": 9.330651640985346e-05,
+      "loss": 1.2054,
+      "step": 499
+    },
+    {
+      "epoch": 2.1052631578947367,
+      "grad_norm": 0.490234375,
+      "learning_rate": 9.297238110547074e-05,
+      "loss": 1.0956,
+      "step": 500
+    },
+    {
+      "epoch": 2.1094736842105264,
+      "grad_norm": 0.482421875,
+      "learning_rate": 9.263832463296445e-05,
+      "loss": 1.0093,
+      "step": 501
+    },
+    {
+      "epoch": 2.1136842105263156,
+      "grad_norm": 0.73046875,
+      "learning_rate": 9.230435073959232e-05,
+      "loss": 1.0679,
+      "step": 502
+    },
+    {
+      "epoch": 2.1178947368421053,
+      "grad_norm": 0.54296875,
+      "learning_rate": 9.197046317168563e-05,
+      "loss": 0.8422,
+      "step": 503
+    },
+    {
+      "epoch": 2.122105263157895,
+      "grad_norm": 0.66015625,
+      "learning_rate": 9.163666567460733e-05,
+      "loss": 0.6545,
+      "step": 504
+    },
+    {
+      "epoch": 2.126315789473684,
+      "grad_norm": 0.578125,
+      "learning_rate": 9.130296199270999e-05,
+      "loss": 1.0327,
+      "step": 505
+    },
+    {
+      "epoch": 2.130526315789474,
+      "grad_norm": 0.392578125,
+      "learning_rate": 9.096935586929392e-05,
+      "loss": 0.9649,
+      "step": 506
+    },
+    {
+      "epoch": 2.134736842105263,
+      "grad_norm": 0.63671875,
+      "learning_rate": 9.063585104656493e-05,
+      "loss": 0.6553,
+      "step": 507
+    },
+    {
+      "epoch": 2.1389473684210527,
+      "grad_norm": 0.4765625,
+      "learning_rate": 9.030245126559262e-05,
+      "loss": 0.6973,
+      "step": 508
+    },
+    {
+      "epoch": 2.143157894736842,
+      "grad_norm": 0.48828125,
+      "learning_rate": 8.996916026626812e-05,
+      "loss": 0.7395,
+      "step": 509
+    },
+    {
+      "epoch": 2.1473684210526316,
+      "grad_norm": 0.70703125,
+      "learning_rate": 8.963598178726254e-05,
+      "loss": 1.0481,
+      "step": 510
+    },
+    {
+      "epoch": 2.1515789473684213,
+      "grad_norm": 0.80859375,
+      "learning_rate": 8.930291956598462e-05,
+      "loss": 0.9903,
+      "step": 511
+    },
+    {
+      "epoch": 2.1557894736842105,
+      "grad_norm": 0.451171875,
+      "learning_rate": 8.896997733853903e-05,
+      "loss": 1.2016,
+      "step": 512
+    },
+    {
+      "epoch": 2.16,
+      "grad_norm": 0.3828125,
+      "learning_rate": 8.863715883968451e-05,
+      "loss": 1.2436,
+      "step": 513
+    },
+    {
+      "epoch": 2.1642105263157894,
+      "grad_norm": 0.333984375,
+      "learning_rate": 8.830446780279176e-05,
+      "loss": 0.9862,
+      "step": 514
+    },
+    {
+      "epoch": 2.168421052631579,
+      "grad_norm": 0.5078125,
+      "learning_rate": 8.797190795980172e-05,
+      "loss": 0.5605,
+      "step": 515
+    },
+    {
+      "epoch": 2.1726315789473682,
+      "grad_norm": 0.6484375,
+      "learning_rate": 8.763948304118368e-05,
+      "loss": 0.4958,
+      "step": 516
+    },
+    {
+      "epoch": 2.176842105263158,
+      "grad_norm": 0.5625,
+      "learning_rate": 8.730719677589344e-05,
+      "loss": 1.0046,
+      "step": 517
+    },
+    {
+      "epoch": 2.1810526315789476,
+      "grad_norm": 0.486328125,
+      "learning_rate": 8.697505289133145e-05,
+      "loss": 0.6935,
+      "step": 518
+    },
+    {
+      "epoch": 2.185263157894737,
+      "grad_norm": 0.37890625,
+      "learning_rate": 8.6643055113301e-05,
+      "loss": 1.2277,
+      "step": 519
+    },
+    {
+      "epoch": 2.1894736842105265,
+      "grad_norm": 0.73828125,
+      "learning_rate": 8.631120716596641e-05,
+      "loss": 0.7949,
+      "step": 520
+    },
+    {
+      "epoch": 2.1936842105263157,
+      "grad_norm": 0.6640625,
+      "learning_rate": 8.597951277181142e-05,
+      "loss": 0.8309,
+      "step": 521
+    },
+    {
+      "epoch": 2.1978947368421053,
+      "grad_norm": 0.58984375,
+      "learning_rate": 8.564797565159714e-05,
+      "loss": 0.6418,
+      "step": 522
+    },
+    {
+      "epoch": 2.2021052631578946,
+      "grad_norm": 0.77734375,
+      "learning_rate": 8.531659952432056e-05,
+      "loss": 1.1851,
+      "step": 523
+    },
+    {
+      "epoch": 2.2063157894736842,
+      "grad_norm": 0.380859375,
+      "learning_rate": 8.498538810717267e-05,
+      "loss": 1.015,
+      "step": 524
+    },
+    {
+      "epoch": 2.2105263157894735,
+      "grad_norm": 0.384765625,
+      "learning_rate": 8.465434511549691e-05,
+      "loss": 1.0365,
+      "step": 525
+    },
+    {
+      "epoch": 2.214736842105263,
+      "grad_norm": 0.41015625,
+      "learning_rate": 8.432347426274739e-05,
+      "loss": 1.0889,
+      "step": 526
+    },
+    {
+      "epoch": 2.218947368421053,
+      "grad_norm": 0.7578125,
+      "learning_rate": 8.399277926044724e-05,
+      "loss": 1.0203,
+      "step": 527
+    },
+    {
+      "epoch": 2.223157894736842,
+      "grad_norm": 0.55078125,
+      "learning_rate": 8.366226381814697e-05,
+      "loss": 0.9986,
+      "step": 528
+    },
+    {
+      "epoch": 2.2273684210526317,
+      "grad_norm": 0.41015625,
+      "learning_rate": 8.333193164338304e-05,
+      "loss": 1.1371,
+      "step": 529
+    },
+    {
+      "epoch": 2.231578947368421,
+      "grad_norm": 0.70703125,
+      "learning_rate": 8.300178644163594e-05,
+      "loss": 1.1068,
+      "step": 530
+    },
+    {
+      "epoch": 2.2357894736842105,
+      "grad_norm": 0.8046875,
+      "learning_rate": 8.267183191628889e-05,
+      "loss": 1.0577,
+      "step": 531
+    },
+    {
+      "epoch": 2.24,
+      "grad_norm": 0.75,
+      "learning_rate": 8.234207176858614e-05,
+      "loss": 0.9573,
+      "step": 532
+    },
+    {
+      "epoch": 2.2442105263157894,
+      "grad_norm": 0.400390625,
+      "learning_rate": 8.201250969759168e-05,
+      "loss": 1.4236,
+      "step": 533
+    },
+    {
+      "epoch": 2.248421052631579,
+      "grad_norm": 0.61328125,
+      "learning_rate": 8.16831494001474e-05,
+      "loss": 0.5257,
+      "step": 534
+    },
+    {
+      "epoch": 2.2526315789473683,
+      "grad_norm": 0.515625,
+      "learning_rate": 8.13539945708319e-05,
+      "loss": 1.2213,
+      "step": 535
+    },
+    {
+      "epoch": 2.256842105263158,
+      "grad_norm": 0.6640625,
+      "learning_rate": 8.102504890191892e-05,
+      "loss": 0.8878,
+      "step": 536
+    },
+    {
+      "epoch": 2.261052631578947,
+      "grad_norm": 0.435546875,
+      "learning_rate": 8.069631608333605e-05,
+      "loss": 0.8702,
+      "step": 537
+    },
+    {
+      "epoch": 2.265263157894737,
+      "grad_norm": 0.482421875,
+      "learning_rate": 8.036779980262311e-05,
+      "loss": 0.8551,
+      "step": 538
+    },
+    {
+      "epoch": 2.269473684210526,
+      "grad_norm": 0.5234375,
+      "learning_rate": 8.003950374489101e-05,
+      "loss": 0.6752,
+      "step": 539
+    },
+    {
+      "epoch": 2.2736842105263158,
+      "grad_norm": 0.546875,
+      "learning_rate": 7.971143159278026e-05,
+      "loss": 1.0084,
+      "step": 540
+    },
+    {
+      "epoch": 2.2736842105263158,
+      "eval_loss": 1.2140343189239502,
+      "eval_runtime": 25.8753,
+      "eval_samples_per_second": 3.865,
+      "eval_steps_per_second": 1.932,
+      "step": 540
+    },
+    {
+      "epoch": 2.2778947368421054,
+      "grad_norm": 0.349609375,
+      "learning_rate": 7.938358702641979e-05,
+      "loss": 1.091,
+      "step": 541
+    },
+    {
+      "epoch": 2.2821052631578946,
+      "grad_norm": 0.375,
+      "learning_rate": 7.905597372338558e-05,
+      "loss": 0.8771,
+      "step": 542
+    },
+    {
+      "epoch": 2.2863157894736843,
+      "grad_norm": 0.75,
+      "learning_rate": 7.872859535865935e-05,
+      "loss": 1.0554,
+      "step": 543
+    },
+    {
+      "epoch": 2.2905263157894735,
+      "grad_norm": 0.4140625,
+      "learning_rate": 7.840145560458756e-05,
+      "loss": 0.958,
+      "step": 544
+    },
+    {
+      "epoch": 2.294736842105263,
+      "grad_norm": 0.4375,
+      "learning_rate": 7.807455813083996e-05,
+      "loss": 0.9956,
+      "step": 545
+    },
+    {
+      "epoch": 2.298947368421053,
+      "grad_norm": 0.50390625,
+      "learning_rate": 7.774790660436858e-05,
+      "loss": 0.864,
+      "step": 546
+    },
+    {
+      "epoch": 2.303157894736842,
+      "grad_norm": 0.71875,
+      "learning_rate": 7.742150468936647e-05,
+      "loss": 0.7358,
+      "step": 547
+    },
+    {
+      "epoch": 2.3073684210526317,
+      "grad_norm": 0.380859375,
+      "learning_rate": 7.709535604722684e-05,
+      "loss": 1.0316,
+      "step": 548
+    },
+    {
+      "epoch": 2.311578947368421,
+      "grad_norm": 0.64453125,
+      "learning_rate": 7.67694643365017e-05,
+      "loss": 0.9351,
+      "step": 549
+    },
+    {
+      "epoch": 2.3157894736842106,
+      "grad_norm": 0.498046875,
+      "learning_rate": 7.644383321286094e-05,
+      "loss": 1.0617,
+      "step": 550
+    },
+    {
+      "epoch": 2.32,
+      "grad_norm": 0.9140625,
+      "learning_rate": 7.61184663290514e-05,
+      "loss": 0.6994,
+      "step": 551
+    },
+    {
+      "epoch": 2.3242105263157895,
+      "grad_norm": 0.375,
+      "learning_rate": 7.579336733485584e-05,
+      "loss": 1.0248,
+      "step": 552
+    },
+    {
+      "epoch": 2.3284210526315787,
+      "grad_norm": 0.58984375,
+      "learning_rate": 7.546853987705191e-05,
+      "loss": 0.9696,
+      "step": 553
+    },
+    {
+      "epoch": 2.3326315789473684,
+      "grad_norm": 0.7265625,
+      "learning_rate": 7.514398759937135e-05,
+      "loss": 0.7576,
+      "step": 554
+    },
+    {
+      "epoch": 2.336842105263158,
+      "grad_norm": 0.369140625,
+      "learning_rate": 7.481971414245907e-05,
+      "loss": 0.7026,
+      "step": 555
+    },
+    {
+      "epoch": 2.3410526315789473,
+      "grad_norm": 0.69921875,
+      "learning_rate": 7.449572314383237e-05,
+      "loss": 0.8625,
+      "step": 556
+    },
+    {
+      "epoch": 2.345263157894737,
+      "grad_norm": 0.921875,
+      "learning_rate": 7.417201823784005e-05,
+      "loss": 0.849,
+      "step": 557
+    },
+    {
+      "epoch": 2.349473684210526,
+      "grad_norm": 0.453125,
+      "learning_rate": 7.384860305562172e-05,
+      "loss": 1.274,
+      "step": 558
+    },
+    {
+      "epoch": 2.353684210526316,
+      "grad_norm": 0.73828125,
+      "learning_rate": 7.35254812250669e-05,
+      "loss": 1.0279,
+      "step": 559
+    },
+    {
+      "epoch": 2.3578947368421055,
+      "grad_norm": 0.353515625,
+      "learning_rate": 7.320265637077473e-05,
+      "loss": 1.0411,
+      "step": 560
+    },
+    {
+      "epoch": 2.3621052631578947,
+      "grad_norm": 0.7109375,
+      "learning_rate": 7.288013211401278e-05,
+      "loss": 1.1542,
+      "step": 561
+    },
+    {
+      "epoch": 2.3663157894736844,
+      "grad_norm": 0.55078125,
+      "learning_rate": 7.255791207267679e-05,
+      "loss": 1.1941,
+      "step": 562
+    },
+    {
+      "epoch": 2.3705263157894736,
+      "grad_norm": 0.58203125,
+      "learning_rate": 7.223599986124994e-05,
+      "loss": 1.0699,
+      "step": 563
+    },
+    {
+      "epoch": 2.3747368421052633,
+      "grad_norm": 0.76953125,
+      "learning_rate": 7.191439909076243e-05,
+      "loss": 1.0074,
+      "step": 564
+    },
+    {
+      "epoch": 2.3789473684210525,
+      "grad_norm": 0.408203125,
+      "learning_rate": 7.159311336875083e-05,
+      "loss": 1.1968,
+      "step": 565
+    },
+    {
+      "epoch": 2.383157894736842,
+      "grad_norm": 1.0234375,
+      "learning_rate": 7.127214629921765e-05,
+      "loss": 0.9567,
+      "step": 566
+    },
+    {
+      "epoch": 2.3873684210526314,
+      "grad_norm": 0.5,
+      "learning_rate": 7.095150148259093e-05,
+      "loss": 0.585,
+      "step": 567
+    },
+    {
+      "epoch": 2.391578947368421,
+      "grad_norm": 0.52734375,
+      "learning_rate": 7.0631182515684e-05,
+      "loss": 0.9657,
+      "step": 568
+    },
+    {
+      "epoch": 2.3957894736842107,
+      "grad_norm": 0.43359375,
+      "learning_rate": 7.031119299165483e-05,
+      "loss": 0.7711,
+      "step": 569
+    },
+    {
+      "epoch": 2.4,
+      "grad_norm": 0.43359375,
+      "learning_rate": 6.999153649996595e-05,
+      "loss": 0.9455,
+      "step": 570
+    },
+    {
+      "epoch": 2.4042105263157896,
+      "grad_norm": 0.6953125,
+      "learning_rate": 6.967221662634407e-05,
+      "loss": 0.9143,
+      "step": 571
+    },
+    {
+      "epoch": 2.408421052631579,
+      "grad_norm": 0.443359375,
+      "learning_rate": 6.935323695274002e-05,
+      "loss": 1.3066,
+      "step": 572
+    },
+    {
+      "epoch": 2.4126315789473685,
+      "grad_norm": 0.4140625,
+      "learning_rate": 6.903460105728834e-05,
+      "loss": 1.02,
+      "step": 573
+    },
+    {
+      "epoch": 2.416842105263158,
+      "grad_norm": 0.322265625,
+      "learning_rate": 6.871631251426728e-05,
+      "loss": 1.0387,
+      "step": 574
+    },
+    {
+      "epoch": 2.4210526315789473,
+      "grad_norm": 0.625,
+      "learning_rate": 6.839837489405881e-05,
+      "loss": 0.9289,
+      "step": 575
+    },
+    {
+      "epoch": 2.425263157894737,
+      "grad_norm": 0.34765625,
+      "learning_rate": 6.808079176310827e-05,
+      "loss": 1.0434,
+      "step": 576
+    },
+    {
+      "epoch": 2.4294736842105262,
+      "grad_norm": 0.69921875,
+      "learning_rate": 6.776356668388464e-05,
+      "loss": 0.9514,
+      "step": 577
+    },
+    {
+      "epoch": 2.433684210526316,
+      "grad_norm": 0.486328125,
+      "learning_rate": 6.744670321484043e-05,
+      "loss": 0.8505,
+      "step": 578
+    },
+    {
+      "epoch": 2.437894736842105,
+      "grad_norm": 0.447265625,
+      "learning_rate": 6.713020491037188e-05,
+      "loss": 1.2355,
+      "step": 579
+    },
+    {
+      "epoch": 2.442105263157895,
+      "grad_norm": 0.359375,
+      "learning_rate": 6.681407532077895e-05,
+      "loss": 0.9406,
+      "step": 580
+    },
+    {
+      "epoch": 2.446315789473684,
+      "grad_norm": 0.6953125,
+      "learning_rate": 6.649831799222557e-05,
+      "loss": 0.8115,
+      "step": 581
+    },
+    {
+      "epoch": 2.4505263157894737,
+      "grad_norm": 0.5390625,
+      "learning_rate": 6.618293646669986e-05,
+      "loss": 1.0947,
+      "step": 582
+    },
+    {
+      "epoch": 2.4547368421052633,
+      "grad_norm": 0.69921875,
+      "learning_rate": 6.586793428197447e-05,
+      "loss": 1.1178,
+      "step": 583
+    },
+    {
+      "epoch": 2.4589473684210525,
+      "grad_norm": 0.427734375,
+      "learning_rate": 6.555331497156672e-05,
+      "loss": 0.8136,
+      "step": 584
+    },
+    {
+      "epoch": 2.463157894736842,
+      "grad_norm": 0.87109375,
+      "learning_rate": 6.523908206469909e-05,
+      "loss": 1.0041,
+      "step": 585
+    },
+    {
+      "epoch": 2.4673684210526314,
+      "grad_norm": 0.4375,
+      "learning_rate": 6.492523908625959e-05,
+      "loss": 1.1051,
+      "step": 586
+    },
+    {
+      "epoch": 2.471578947368421,
+      "grad_norm": 0.5625,
+      "learning_rate": 6.461178955676228e-05,
+      "loss": 1.0417,
+      "step": 587
+    },
+    {
+      "epoch": 2.4757894736842108,
+      "grad_norm": 0.35546875,
+      "learning_rate": 6.42987369923077e-05,
+      "loss": 0.9521,
+      "step": 588
+    },
+    {
+      "epoch": 2.48,
+      "grad_norm": 0.375,
+      "learning_rate": 6.398608490454346e-05,
+      "loss": 1.3175,
+      "step": 589
+    },
+    {
+      "epoch": 2.4842105263157896,
+      "grad_norm": 0.40625,
+      "learning_rate": 6.367383680062478e-05,
+      "loss": 1.0413,
+      "step": 590
+    },
+    {
+      "epoch": 2.488421052631579,
+      "grad_norm": 0.625,
+      "learning_rate": 6.336199618317537e-05,
+      "loss": 0.8431,
+      "step": 591
+    },
+    {
+      "epoch": 2.4926315789473685,
+      "grad_norm": 0.451171875,
+      "learning_rate": 6.30505665502479e-05,
+      "loss": 0.8335,
+      "step": 592
+    },
+    {
+      "epoch": 2.4968421052631578,
+      "grad_norm": 0.83203125,
+      "learning_rate": 6.27395513952848e-05,
+      "loss": 0.689,
+      "step": 593
+    },
+    {
+      "epoch": 2.5010526315789474,
+      "grad_norm": 0.3984375,
+      "learning_rate": 6.242895420707917e-05,
+      "loss": 1.1857,
+      "step": 594
+    },
+    {
+      "epoch": 2.5052631578947366,
+      "grad_norm": 0.375,
+      "learning_rate": 6.211877846973563e-05,
+      "loss": 0.6606,
+      "step": 595
+    },
+    {
+      "epoch": 2.5094736842105263,
+      "grad_norm": 0.578125,
+      "learning_rate": 6.180902766263113e-05,
+      "loss": 0.892,
+      "step": 596
+    },
+    {
+      "epoch": 2.513684210526316,
+      "grad_norm": 0.427734375,
+      "learning_rate": 6.149970526037603e-05,
+      "loss": 1.0731,
+      "step": 597
+    },
+    {
+      "epoch": 2.517894736842105,
+      "grad_norm": 0.578125,
+      "learning_rate": 6.119081473277501e-05,
+      "loss": 1.0982,
+      "step": 598
+    },
+    {
+      "epoch": 2.522105263157895,
+      "grad_norm": 0.376953125,
+      "learning_rate": 6.088235954478842e-05,
+      "loss": 1.0339,
+      "step": 599
+    },
+    {
+      "epoch": 2.526315789473684,
+      "grad_norm": 0.384765625,
+      "learning_rate": 6.057434315649304e-05,
+      "loss": 1.1655,
+      "step": 600
+    },
+    {
+      "epoch": 2.526315789473684,
+      "eval_loss": 1.217448353767395,
+      "eval_runtime": 25.9078,
+      "eval_samples_per_second": 3.86,
+      "eval_steps_per_second": 1.93,
+      "step": 600
+    },
+    {
+      "epoch": 2.5305263157894737,
+      "grad_norm": 0.953125,
+      "learning_rate": 6.026676902304345e-05,
+      "loss": 0.8561,
+      "step": 601
+    },
+    {
+      "epoch": 2.5347368421052634,
+      "grad_norm": 0.625,
+      "learning_rate": 5.99596405946333e-05,
+      "loss": 0.8852,
+      "step": 602
+    },
+    {
+      "epoch": 2.5389473684210526,
+      "grad_norm": 0.423828125,
+      "learning_rate": 5.965296131645663e-05,
+      "loss": 0.8336,
+      "step": 603
+    },
+    {
+      "epoch": 2.543157894736842,
+      "grad_norm": 1.3515625,
+      "learning_rate": 5.9346734628669065e-05,
+      "loss": 0.6848,
+      "step": 604
+    },
+    {
+      "epoch": 2.5473684210526315,
+      "grad_norm": 0.8046875,
+      "learning_rate": 5.904096396634935e-05,
+      "loss": 0.951,
+      "step": 605
+    },
+    {
+      "epoch": 2.551578947368421,
+      "grad_norm": 0.44921875,
+      "learning_rate": 5.873565275946088e-05,
+      "loss": 0.877,
+      "step": 606
+    },
+    {
+      "epoch": 2.5557894736842104,
+      "grad_norm": 0.60546875,
+      "learning_rate": 5.843080443281303e-05,
+      "loss": 0.9183,
+      "step": 607
+    },
+    {
+      "epoch": 2.56,
+      "grad_norm": 0.71484375,
+      "learning_rate": 5.8126422406022885e-05,
+      "loss": 0.6659,
+      "step": 608
+    },
+    {
+      "epoch": 2.5642105263157893,
+      "grad_norm": 0.54296875,
+      "learning_rate": 5.782251009347679e-05,
+      "loss": 1.0883,
+      "step": 609
+    },
+    {
+      "epoch": 2.568421052631579,
+      "grad_norm": 0.453125,
+      "learning_rate": 5.7519070904292247e-05,
+      "loss": 0.963,
+      "step": 610
+    },
+    {
+      "epoch": 2.5726315789473686,
+      "grad_norm": 0.43359375,
+      "learning_rate": 5.7216108242279386e-05,
+      "loss": 1.2451,
+      "step": 611
+    },
+    {
+      "epoch": 2.576842105263158,
+      "grad_norm": 0.78515625,
+      "learning_rate": 5.691362550590297e-05,
+      "loss": 0.8804,
+      "step": 612
+    },
+    {
+      "epoch": 2.5810526315789475,
+      "grad_norm": 0.8515625,
+      "learning_rate": 5.6611626088244194e-05,
+      "loss": 1.0411,
+      "step": 613
+    },
+    {
+      "epoch": 2.5852631578947367,
+      "grad_norm": 0.42578125,
+      "learning_rate": 5.631011337696271e-05,
+      "loss": 0.9097,
+      "step": 614
+    },
+    {
+      "epoch": 2.5894736842105264,
+      "grad_norm": 0.478515625,
+      "learning_rate": 5.6009090754258545e-05,
+      "loss": 1.0427,
+      "step": 615
+    },
+    {
+      "epoch": 2.593684210526316,
+      "grad_norm": 0.40625,
+      "learning_rate": 5.570856159683418e-05,
+      "loss": 0.8898,
+      "step": 616
+    },
+    {
+      "epoch": 2.5978947368421053,
+      "grad_norm": 0.373046875,
+      "learning_rate": 5.5408529275856624e-05,
+      "loss": 0.9602,
+      "step": 617
+    },
+    {
+      "epoch": 2.6021052631578945,
+      "grad_norm": 0.5390625,
+      "learning_rate": 5.510899715691984e-05,
+      "loss": 1.0589,
+      "step": 618
+    },
+    {
+      "epoch": 2.606315789473684,
+      "grad_norm": 0.4765625,
+      "learning_rate": 5.4809968600006635e-05,
+      "loss": 0.939,
+      "step": 619
+    },
+    {
+      "epoch": 2.610526315789474,
+      "grad_norm": 0.44921875,
+      "learning_rate": 5.451144695945116e-05,
+      "loss": 0.909,
+      "step": 620
+    },
+    {
+      "epoch": 2.614736842105263,
+      "grad_norm": 1.203125,
+      "learning_rate": 5.421343558390128e-05,
+      "loss": 1.0197,
+      "step": 621
+    },
+    {
+      "epoch": 2.6189473684210527,
+      "grad_norm": 0.96875,
+      "learning_rate": 5.3915937816281095e-05,
+      "loss": 0.991,
+      "step": 622
+    },
+    {
+      "epoch": 2.623157894736842,
+      "grad_norm": 0.85546875,
+      "learning_rate": 5.361895699375319e-05,
+      "loss": 0.9968,
+      "step": 623
+    },
+    {
+      "epoch": 2.6273684210526316,
+      "grad_norm": 0.890625,
+      "learning_rate": 5.3322496447681414e-05,
+      "loss": 1.0106,
+      "step": 624
+    },
+    {
+      "epoch": 2.6315789473684212,
+      "grad_norm": 0.41015625,
+      "learning_rate": 5.302655950359341e-05,
+      "loss": 1.0636,
+      "step": 625
+    },
+    {
+      "epoch": 2.6357894736842105,
+      "grad_norm": 0.44921875,
+      "learning_rate": 5.273114948114346e-05,
+      "loss": 0.7656,
+      "step": 626
+    },
+    {
+      "epoch": 2.64,
+      "grad_norm": 0.5078125,
+      "learning_rate": 5.2436269694075046e-05,
+      "loss": 1.1255,
+      "step": 627
+    },
+    {
+      "epoch": 2.6442105263157893,
+      "grad_norm": 2.515625,
+      "learning_rate": 5.214192345018374e-05,
+      "loss": 0.8405,
+      "step": 628
+    },
+    {
+      "epoch": 2.648421052631579,
+      "grad_norm": 0.375,
+      "learning_rate": 5.1848114051280195e-05,
+      "loss": 1.0719,
+      "step": 629
+    },
+    {
+      "epoch": 2.6526315789473687,
+      "grad_norm": 0.353515625,
+      "learning_rate": 5.1554844793153e-05,
+      "loss": 0.9582,
+      "step": 630
+    },
+    {
+      "epoch": 2.656842105263158,
+      "grad_norm": 0.46875,
+      "learning_rate": 5.126211896553178e-05,
+      "loss": 0.8587,
+      "step": 631
+    },
+    {
+      "epoch": 2.661052631578947,
+      "grad_norm": 0.8203125,
+      "learning_rate": 5.096993985205023e-05,
+      "loss": 1.055,
+      "step": 632
+    },
+    {
+      "epoch": 2.665263157894737,
+      "grad_norm": 0.48046875,
+      "learning_rate": 5.0678310730209275e-05,
+      "loss": 1.0103,
+      "step": 633
+    },
+    {
+      "epoch": 2.6694736842105264,
+      "grad_norm": 0.70703125,
+      "learning_rate": 5.0387234871340486e-05,
+      "loss": 0.7718,
+      "step": 634
+    },
+    {
+      "epoch": 2.6736842105263157,
+      "grad_norm": 0.72265625,
+      "learning_rate": 5.009671554056911e-05,
+      "loss": 0.9338,
+      "step": 635
+    },
+    {
+      "epoch": 2.6778947368421053,
+      "grad_norm": 0.373046875,
+      "learning_rate": 4.980675599677757e-05,
+      "loss": 0.7023,
+      "step": 636
+    },
+    {
+      "epoch": 2.6821052631578945,
+      "grad_norm": 0.66796875,
+      "learning_rate": 4.9517359492569035e-05,
+      "loss": 1.1044,
+      "step": 637
+    },
+    {
+      "epoch": 2.686315789473684,
+      "grad_norm": 0.5234375,
+      "learning_rate": 4.9228529274230695e-05,
+      "loss": 0.9719,
+      "step": 638
+    },
+    {
+      "epoch": 2.690526315789474,
+      "grad_norm": 0.55078125,
+      "learning_rate": 4.894026858169752e-05,
+      "loss": 1.1118,
+      "step": 639
+    },
+    {
+      "epoch": 2.694736842105263,
+      "grad_norm": 0.490234375,
+      "learning_rate": 4.865258064851579e-05,
+      "loss": 1.2393,
+      "step": 640
+    },
+    {
+      "epoch": 2.6989473684210528,
+      "grad_norm": 0.443359375,
+      "learning_rate": 4.8365468701807016e-05,
+      "loss": 0.8362,
+      "step": 641
+    },
+    {
+      "epoch": 2.703157894736842,
+      "grad_norm": 0.82421875,
+      "learning_rate": 4.807893596223152e-05,
+      "loss": 0.9748,
+      "step": 642
+    },
+    {
+      "epoch": 2.7073684210526316,
+      "grad_norm": 0.6328125,
+      "learning_rate": 4.7792985643952435e-05,
+      "loss": 1.1939,
+      "step": 643
+    },
+    {
+      "epoch": 2.7115789473684213,
+      "grad_norm": 0.51171875,
+      "learning_rate": 4.75076209545996e-05,
+      "loss": 0.8513,
+      "step": 644
+    },
+    {
+      "epoch": 2.7157894736842105,
+      "grad_norm": 0.47265625,
+      "learning_rate": 4.722284509523362e-05,
+      "loss": 0.8377,
+      "step": 645
+    },
+    {
+      "epoch": 2.7199999999999998,
+      "grad_norm": 0.7109375,
+      "learning_rate": 4.693866126030995e-05,
+      "loss": 1.0126,
+      "step": 646
+    },
+    {
+      "epoch": 2.7242105263157894,
+      "grad_norm": 0.57421875,
+      "learning_rate": 4.665507263764299e-05,
+      "loss": 0.6115,
+      "step": 647
+    },
+    {
+      "epoch": 2.728421052631579,
+      "grad_norm": 0.88671875,
+      "learning_rate": 4.637208240837042e-05,
+      "loss": 1.0717,
+      "step": 648
+    },
+    {
+      "epoch": 2.7326315789473683,
+      "grad_norm": 0.56640625,
+      "learning_rate": 4.608969374691753e-05,
+      "loss": 1.1582,
+      "step": 649
+    },
+    {
+      "epoch": 2.736842105263158,
+      "grad_norm": 0.91796875,
+      "learning_rate": 4.5807909820961494e-05,
+      "loss": 1.1218,
+      "step": 650
+    },
+    {
+      "epoch": 2.741052631578947,
+      "grad_norm": 0.6328125,
+      "learning_rate": 4.5526733791395896e-05,
+      "loss": 0.9114,
+      "step": 651
+    },
+    {
+      "epoch": 2.745263157894737,
+      "grad_norm": 0.70703125,
+      "learning_rate": 4.5246168812295286e-05,
+      "loss": 0.957,
+      "step": 652
+    },
+    {
+      "epoch": 2.7494736842105265,
+      "grad_norm": 0.5859375,
+      "learning_rate": 4.496621803087988e-05,
+      "loss": 0.6728,
+      "step": 653
+    },
+    {
+      "epoch": 2.7536842105263157,
+      "grad_norm": 1.2109375,
+      "learning_rate": 4.468688458748006e-05,
+      "loss": 0.8425,
+      "step": 654
+    },
+    {
+      "epoch": 2.7578947368421054,
+      "grad_norm": 0.5703125,
+      "learning_rate": 4.4408171615501316e-05,
+      "loss": 0.6478,
+      "step": 655
+    },
+    {
+      "epoch": 2.7621052631578946,
+      "grad_norm": 0.28125,
+      "learning_rate": 4.413008224138897e-05,
+      "loss": 0.9384,
+      "step": 656
+    },
+    {
+      "epoch": 2.7663157894736843,
+      "grad_norm": 0.734375,
+      "learning_rate": 4.38526195845933e-05,
+      "loss": 0.9842,
+      "step": 657
+    },
+    {
+      "epoch": 2.770526315789474,
+      "grad_norm": 0.8125,
+      "learning_rate": 4.357578675753432e-05,
+      "loss": 0.8117,
+      "step": 658
+    },
+    {
+      "epoch": 2.774736842105263,
+      "grad_norm": 0.6328125,
+      "learning_rate": 4.329958686556699e-05,
+      "loss": 0.8619,
+      "step": 659
+    },
+    {
+      "epoch": 2.7789473684210524,
+      "grad_norm": 0.55859375,
+      "learning_rate": 4.302402300694636e-05,
+      "loss": 1.1503,
+      "step": 660
+    },
+    {
+      "epoch": 2.7789473684210524,
+      "eval_loss": 1.2197896242141724,
+      "eval_runtime": 25.8587,
+      "eval_samples_per_second": 3.867,
+      "eval_steps_per_second": 1.934,
+      "step": 660
+    },
+    {
+      "epoch": 2.783157894736842,
+      "grad_norm": 0.59765625,
+      "learning_rate": 4.274909827279283e-05,
+      "loss": 0.7691,
+      "step": 661
+    },
+    {
+      "epoch": 2.7873684210526317,
+      "grad_norm": 0.54296875,
+      "learning_rate": 4.247481574705744e-05,
+      "loss": 0.5837,
+      "step": 662
+    },
+    {
+      "epoch": 2.791578947368421,
+      "grad_norm": 0.80078125,
+      "learning_rate": 4.220117850648733e-05,
+      "loss": 0.8718,
+      "step": 663
+    },
+    {
+      "epoch": 2.7957894736842106,
+      "grad_norm": 0.75390625,
+      "learning_rate": 4.1928189620591116e-05,
+      "loss": 0.8497,
+      "step": 664
+    },
+    {
+      "epoch": 2.8,
+      "grad_norm": 0.359375,
+      "learning_rate": 4.165585215160468e-05,
+      "loss": 1.1803,
+      "step": 665
+    },
+    {
+      "epoch": 2.8042105263157895,
+      "grad_norm": 0.78515625,
+      "learning_rate": 4.138416915445655e-05,
+      "loss": 0.7498,
+      "step": 666
+    },
+    {
+      "epoch": 2.808421052631579,
+      "grad_norm": 0.451171875,
+      "learning_rate": 4.1113143676733757e-05,
+      "loss": 1.2798,
+      "step": 667
+    },
+    {
+      "epoch": 2.8126315789473684,
+      "grad_norm": 0.341796875,
+      "learning_rate": 4.084277875864776e-05,
+      "loss": 0.9448,
+      "step": 668
+    },
+    {
+      "epoch": 2.816842105263158,
+      "grad_norm": 0.625,
+      "learning_rate": 4.0573077433000115e-05,
+      "loss": 1.0791,
+      "step": 669
+    },
+    {
+      "epoch": 2.8210526315789473,
+      "grad_norm": 0.3671875,
+      "learning_rate": 4.030404272514864e-05,
+      "loss": 0.9928,
+      "step": 670
+    },
+    {
+      "epoch": 2.825263157894737,
+      "grad_norm": 0.6015625,
+      "learning_rate": 4.003567765297331e-05,
+      "loss": 1.0038,
+      "step": 671
+    },
+    {
+      "epoch": 2.8294736842105266,
+      "grad_norm": 0.46875,
+      "learning_rate": 3.9767985226842696e-05,
+      "loss": 1.294,
+      "step": 672
+    },
+    {
+      "epoch": 2.833684210526316,
+      "grad_norm": 0.34765625,
+      "learning_rate": 3.950096844957981e-05,
+      "loss": 1.1689,
+      "step": 673
+    },
+    {
+      "epoch": 2.837894736842105,
+      "grad_norm": 0.609375,
+      "learning_rate": 3.923463031642872e-05,
+      "loss": 1.2769,
+      "step": 674
+    },
+    {
+      "epoch": 2.8421052631578947,
+      "grad_norm": 0.43359375,
+      "learning_rate": 3.8968973815020806e-05,
+      "loss": 1.0042,
+      "step": 675
+    },
+    {
+      "epoch": 2.8463157894736844,
+      "grad_norm": 0.58984375,
+      "learning_rate": 3.870400192534128e-05,
+      "loss": 0.8091,
+      "step": 676
+    },
+    {
+      "epoch": 2.8505263157894736,
+      "grad_norm": 0.5,
+      "learning_rate": 3.843971761969583e-05,
+      "loss": 0.9447,
+      "step": 677
+    },
+    {
+      "epoch": 2.8547368421052632,
+      "grad_norm": 0.58984375,
+      "learning_rate": 3.81761238626771e-05,
+      "loss": 0.7497,
+      "step": 678
+    },
+    {
+      "epoch": 2.8589473684210525,
+      "grad_norm": 0.66015625,
+      "learning_rate": 3.791322361113164e-05,
+      "loss": 0.7618,
+      "step": 679
+    },
+    {
+      "epoch": 2.863157894736842,
+      "grad_norm": 0.5078125,
+      "learning_rate": 3.7651019814126654e-05,
+      "loss": 1.1192,
+      "step": 680
+    },
+    {
+      "epoch": 2.867368421052632,
+      "grad_norm": 0.484375,
+      "learning_rate": 3.738951541291685e-05,
+      "loss": 0.8821,
+      "step": 681
+    },
+    {
+      "epoch": 2.871578947368421,
+      "grad_norm": 0.625,
+      "learning_rate": 3.7128713340911535e-05,
+      "loss": 0.868,
+      "step": 682
+    },
+    {
+      "epoch": 2.8757894736842107,
+      "grad_norm": 0.328125,
+      "learning_rate": 3.686861652364164e-05,
+      "loss": 1.0257,
+      "step": 683
+    },
+    {
+      "epoch": 2.88,
+      "grad_norm": 0.376953125,
+      "learning_rate": 3.660922787872706e-05,
+      "loss": 0.8358,
+      "step": 684
+    },
+    {
+      "epoch": 2.8842105263157896,
+      "grad_norm": 0.470703125,
+      "learning_rate": 3.635055031584369e-05,
+      "loss": 1.0488,
+      "step": 685
+    },
+    {
+      "epoch": 2.8884210526315792,
+      "grad_norm": 0.4140625,
+      "learning_rate": 3.609258673669097e-05,
+      "loss": 1.0167,
+      "step": 686
+    },
+    {
+      "epoch": 2.8926315789473684,
+      "grad_norm": 0.44140625,
+      "learning_rate": 3.58353400349592e-05,
+      "loss": 1.1384,
+      "step": 687
+    },
+    {
+      "epoch": 2.8968421052631577,
+      "grad_norm": 0.69921875,
+      "learning_rate": 3.557881309629729e-05,
+      "loss": 0.847,
+      "step": 688
+    },
+    {
+      "epoch": 2.9010526315789473,
+      "grad_norm": 1.0703125,
+      "learning_rate": 3.532300879828013e-05,
+      "loss": 0.9456,
+      "step": 689
+    },
+    {
+      "epoch": 2.905263157894737,
+      "grad_norm": 0.890625,
+      "learning_rate": 3.5067930010376484e-05,
+      "loss": 0.8495,
+      "step": 690
+    },
+    {
+      "epoch": 2.909473684210526,
+      "grad_norm": 0.91015625,
+      "learning_rate": 3.481357959391671e-05,
+      "loss": 1.0274,
+      "step": 691
+    },
+    {
+      "epoch": 2.913684210526316,
+      "grad_norm": 0.4765625,
+      "learning_rate": 3.455996040206076e-05,
+      "loss": 1.0327,
+      "step": 692
+    },
+    {
+      "epoch": 2.917894736842105,
+      "grad_norm": 0.64453125,
+      "learning_rate": 3.43070752797661e-05,
+      "loss": 0.83,
+      "step": 693
+    },
+    {
+      "epoch": 2.9221052631578948,
+      "grad_norm": 0.8671875,
+      "learning_rate": 3.4054927063755796e-05,
+      "loss": 0.786,
+      "step": 694
+    },
+    {
+      "epoch": 2.9263157894736844,
+      "grad_norm": 0.67578125,
+      "learning_rate": 3.38035185824867e-05,
+      "loss": 0.8956,
+      "step": 695
+    },
+    {
+      "epoch": 2.9305263157894736,
+      "grad_norm": 0.61328125,
+      "learning_rate": 3.355285265611784e-05,
+      "loss": 0.8357,
+      "step": 696
+    },
+    {
+      "epoch": 2.9347368421052633,
+      "grad_norm": 0.498046875,
+      "learning_rate": 3.3302932096478554e-05,
+      "loss": 1.0673,
+      "step": 697
+    },
+    {
+      "epoch": 2.9389473684210525,
+      "grad_norm": 0.53515625,
+      "learning_rate": 3.305375970703711e-05,
+      "loss": 0.8016,
+      "step": 698
+    },
+    {
+      "epoch": 2.943157894736842,
+      "grad_norm": 0.62890625,
+      "learning_rate": 3.28053382828693e-05,
+      "loss": 0.817,
+      "step": 699
+    },
+    {
+      "epoch": 2.9473684210526314,
+      "grad_norm": 0.62890625,
+      "learning_rate": 3.2557670610626925e-05,
+      "loss": 1.0499,
+      "step": 700
+    },
+    {
+      "epoch": 2.951578947368421,
+      "grad_norm": 0.9375,
+      "learning_rate": 3.231075946850663e-05,
+      "loss": 0.8511,
+      "step": 701
+    },
+    {
+      "epoch": 2.9557894736842103,
+      "grad_norm": 0.455078125,
+      "learning_rate": 3.206460762621873e-05,
+      "loss": 1.0486,
+      "step": 702
+    },
+    {
+      "epoch": 2.96,
+      "grad_norm": 0.38671875,
+      "learning_rate": 3.1819217844956214e-05,
+      "loss": 0.9743,
+      "step": 703
+    },
+    {
+      "epoch": 2.9642105263157896,
+      "grad_norm": 0.42578125,
+      "learning_rate": 3.157459287736362e-05,
+      "loss": 0.9247,
+      "step": 704
+    },
+    {
+      "epoch": 2.968421052631579,
+      "grad_norm": 0.3359375,
+      "learning_rate": 3.1330735467506246e-05,
+      "loss": 1.0188,
+      "step": 705
+    },
+    {
+      "epoch": 2.9726315789473685,
+      "grad_norm": 0.51953125,
+      "learning_rate": 3.108764835083938e-05,
+      "loss": 1.1879,
+      "step": 706
+    },
+    {
+      "epoch": 2.9768421052631577,
+      "grad_norm": 0.41015625,
+      "learning_rate": 3.084533425417758e-05,
+      "loss": 0.6776,
+      "step": 707
+    },
+    {
+      "epoch": 2.9810526315789474,
+      "grad_norm": 0.349609375,
+      "learning_rate": 3.0603795895664124e-05,
+      "loss": 0.9761,
+      "step": 708
+    },
+    {
+      "epoch": 2.985263157894737,
+      "grad_norm": 0.7109375,
+      "learning_rate": 3.036303598474045e-05,
+      "loss": 0.9003,
+      "step": 709
+    },
+    {
+      "epoch": 2.9894736842105263,
+      "grad_norm": 0.38671875,
+      "learning_rate": 3.0123057222115836e-05,
+      "loss": 1.0767,
+      "step": 710
+    },
+    {
+      "epoch": 2.993684210526316,
+      "grad_norm": 0.52734375,
+      "learning_rate": 2.988386229973713e-05,
+      "loss": 0.792,
+      "step": 711
+    },
+    {
+      "epoch": 2.997894736842105,
+      "grad_norm": 0.5078125,
+      "learning_rate": 2.964545390075841e-05,
+      "loss": 1.0222,
+      "step": 712
+    },
+    {
+      "epoch": 3.002105263157895,
+      "grad_norm": 0.453125,
+      "learning_rate": 2.940783469951103e-05,
+      "loss": 0.926,
+      "step": 713
+    },
+    {
+      "epoch": 3.006315789473684,
+      "grad_norm": 0.486328125,
+      "learning_rate": 2.9171007361473514e-05,
+      "loss": 1.0828,
+      "step": 714
+    },
+    {
+      "epoch": 3.0105263157894737,
+      "grad_norm": 0.77734375,
+      "learning_rate": 2.893497454324182e-05,
+      "loss": 0.9486,
+      "step": 715
+    },
+    {
+      "epoch": 3.014736842105263,
+      "grad_norm": 0.7734375,
+      "learning_rate": 2.8699738892499328e-05,
+      "loss": 0.6997,
+      "step": 716
+    },
+    {
+      "epoch": 3.0189473684210526,
+      "grad_norm": 0.515625,
+      "learning_rate": 2.8465303047987267e-05,
+      "loss": 1.1117,
+      "step": 717
+    },
+    {
+      "epoch": 3.0231578947368423,
+      "grad_norm": 0.765625,
+      "learning_rate": 2.8231669639475067e-05,
+      "loss": 1.03,
+      "step": 718
+    },
+    {
+      "epoch": 3.0273684210526315,
+      "grad_norm": 0.46484375,
+      "learning_rate": 2.799884128773097e-05,
+      "loss": 0.9977,
+      "step": 719
+    },
+    {
+      "epoch": 3.031578947368421,
+      "grad_norm": 0.384765625,
+      "learning_rate": 2.776682060449247e-05,
+      "loss": 0.9577,
+      "step": 720
+    },
+    {
+      "epoch": 3.031578947368421,
+      "eval_loss": 1.2163540124893188,
+      "eval_runtime": 25.8624,
+      "eval_samples_per_second": 3.867,
+      "eval_steps_per_second": 1.933,
+      "step": 720
+    },
+    {
+      "epoch": 3.0357894736842104,
+      "grad_norm": 0.357421875,
+      "learning_rate": 2.753561019243709e-05,
+      "loss": 0.9971,
+      "step": 721
+    },
+    {
+      "epoch": 3.04,
+      "grad_norm": 0.39453125,
+      "learning_rate": 2.7305212645153212e-05,
+      "loss": 1.1053,
+      "step": 722
+    },
+    {
+      "epoch": 3.0442105263157893,
+      "grad_norm": 0.322265625,
+      "learning_rate": 2.707563054711093e-05,
+      "loss": 0.8554,
+      "step": 723
+    },
+    {
+      "epoch": 3.048421052631579,
+      "grad_norm": 0.51171875,
+      "learning_rate": 2.6846866473633125e-05,
+      "loss": 0.8671,
+      "step": 724
+    },
+    {
+      "epoch": 3.0526315789473686,
+      "grad_norm": 0.388671875,
+      "learning_rate": 2.66189229908665e-05,
+      "loss": 0.5801,
+      "step": 725
+    },
+    {
+      "epoch": 3.056842105263158,
+      "grad_norm": 0.55859375,
+      "learning_rate": 2.6391802655752853e-05,
+      "loss": 0.9976,
+      "step": 726
+    },
+    {
+      "epoch": 3.0610526315789475,
+      "grad_norm": 0.447265625,
+      "learning_rate": 2.6165508016000385e-05,
+      "loss": 0.8534,
+      "step": 727
+    },
+    {
+      "epoch": 3.0652631578947367,
+      "grad_norm": 0.6796875,
+      "learning_rate": 2.594004161005511e-05,
+      "loss": 0.7658,
+      "step": 728
+    },
+    {
+      "epoch": 3.0694736842105264,
+      "grad_norm": 0.4296875,
+      "learning_rate": 2.5715405967072347e-05,
+      "loss": 0.8652,
+      "step": 729
+    },
+    {
+      "epoch": 3.0736842105263156,
+      "grad_norm": 0.515625,
+      "learning_rate": 2.549160360688838e-05,
+      "loss": 0.9121,
+      "step": 730
+    },
+    {
+      "epoch": 3.0778947368421052,
+      "grad_norm": 0.66015625,
+      "learning_rate": 2.5268637039992293e-05,
+      "loss": 0.9808,
+      "step": 731
+    },
+    {
+      "epoch": 3.082105263157895,
+      "grad_norm": 0.35546875,
+      "learning_rate": 2.50465087674976e-05,
+      "loss": 0.8625,
+      "step": 732
+    },
+    {
+      "epoch": 3.086315789473684,
+      "grad_norm": 0.55078125,
+      "learning_rate": 2.4825221281114296e-05,
+      "loss": 0.723,
+      "step": 733
+    },
+    {
+      "epoch": 3.090526315789474,
+      "grad_norm": 0.6171875,
+      "learning_rate": 2.4604777063121033e-05,
+      "loss": 0.9536,
+      "step": 734
+    },
+    {
+      "epoch": 3.094736842105263,
+      "grad_norm": 0.37890625,
+      "learning_rate": 2.438517858633703e-05,
+      "loss": 0.9585,
+      "step": 735
+    },
+    {
+      "epoch": 3.0989473684210527,
+      "grad_norm": 0.50390625,
+      "learning_rate": 2.4166428314094514e-05,
+      "loss": 0.4804,
+      "step": 736
+    },
+    {
+      "epoch": 3.103157894736842,
+      "grad_norm": 0.396484375,
+      "learning_rate": 2.3948528700211003e-05,
+      "loss": 1.0552,
+      "step": 737
+    },
+    {
+      "epoch": 3.1073684210526316,
+      "grad_norm": 0.337890625,
+      "learning_rate": 2.3731482188961818e-05,
+      "loss": 0.9594,
+      "step": 738
+    },
+    {
+      "epoch": 3.111578947368421,
+      "grad_norm": 0.38671875,
+      "learning_rate": 2.351529121505266e-05,
+      "loss": 0.9773,
+      "step": 739
+    },
+    {
+      "epoch": 3.1157894736842104,
+      "grad_norm": 0.46484375,
+      "learning_rate": 2.32999582035923e-05,
+      "loss": 0.7401,
+      "step": 740
+    },
+    {
+      "epoch": 3.12,
+      "grad_norm": 0.4453125,
+      "learning_rate": 2.3085485570065313e-05,
+      "loss": 0.9351,
+      "step": 741
+    },
+    {
+      "epoch": 3.1242105263157893,
+      "grad_norm": 0.8203125,
+      "learning_rate": 2.287187572030516e-05,
+      "loss": 0.7592,
+      "step": 742
+    },
+    {
+      "epoch": 3.128421052631579,
+      "grad_norm": 0.404296875,
+      "learning_rate": 2.2659131050466964e-05,
+      "loss": 1.0506,
+      "step": 743
+    },
+    {
+      "epoch": 3.132631578947368,
+      "grad_norm": 0.57421875,
+      "learning_rate": 2.244725394700079e-05,
+      "loss": 1.0695,
+      "step": 744
+    },
+    {
+      "epoch": 3.136842105263158,
+      "grad_norm": 0.60546875,
+      "learning_rate": 2.2236246786624792e-05,
+      "loss": 0.914,
+      "step": 745
+    },
+    {
+      "epoch": 3.1410526315789475,
+      "grad_norm": 0.455078125,
+      "learning_rate": 2.202611193629869e-05,
+      "loss": 0.7936,
+      "step": 746
+    },
+    {
+      "epoch": 3.1452631578947368,
+      "grad_norm": 0.5546875,
+      "learning_rate": 2.181685175319702e-05,
+      "loss": 0.7292,
+      "step": 747
+    },
+    {
+      "epoch": 3.1494736842105264,
+      "grad_norm": 0.671875,
+      "learning_rate": 2.160846858468285e-05,
+      "loss": 0.7791,
+      "step": 748
+    },
+    {
+      "epoch": 3.1536842105263156,
+      "grad_norm": 0.58203125,
+      "learning_rate": 2.1400964768281318e-05,
+      "loss": 1.0173,
+      "step": 749
+    },
+    {
+      "epoch": 3.1578947368421053,
+      "grad_norm": 0.60546875,
+      "learning_rate": 2.1194342631653607e-05,
+      "loss": 0.9076,
+      "step": 750
+    },
+    {
+      "epoch": 3.1621052631578945,
+      "grad_norm": 0.62890625,
+      "learning_rate": 2.0988604492570606e-05,
+      "loss": 0.7836,
+      "step": 751
+    },
+    {
+      "epoch": 3.166315789473684,
+      "grad_norm": 0.5078125,
+      "learning_rate": 2.0783752658887066e-05,
+      "loss": 0.8939,
+      "step": 752
+    },
+    {
+      "epoch": 3.170526315789474,
+      "grad_norm": 0.4296875,
+      "learning_rate": 2.057978942851565e-05,
+      "loss": 0.9172,
+      "step": 753
+    },
+    {
+      "epoch": 3.174736842105263,
+      "grad_norm": 0.59765625,
+      "learning_rate": 2.0376717089401164e-05,
+      "loss": 0.7943,
+      "step": 754
+    },
+    {
+      "epoch": 3.1789473684210527,
+      "grad_norm": 0.4296875,
+      "learning_rate": 2.0174537919494897e-05,
+      "loss": 1.0665,
+      "step": 755
+    },
+    {
+      "epoch": 3.183157894736842,
+      "grad_norm": 0.50390625,
+      "learning_rate": 1.9973254186729086e-05,
+      "loss": 1.0992,
+      "step": 756
+    },
+    {
+      "epoch": 3.1873684210526316,
+      "grad_norm": 0.447265625,
+      "learning_rate": 1.9772868148991395e-05,
+      "loss": 0.7196,
+      "step": 757
+    },
+    {
+      "epoch": 3.191578947368421,
+      "grad_norm": 0.703125,
+      "learning_rate": 1.9573382054099786e-05,
+      "loss": 0.6875,
+      "step": 758
+    },
+    {
+      "epoch": 3.1957894736842105,
+      "grad_norm": 0.453125,
+      "learning_rate": 1.937479813977703e-05,
+      "loss": 0.8144,
+      "step": 759
+    },
+    {
+      "epoch": 3.2,
+      "grad_norm": 0.671875,
+      "learning_rate": 1.9177118633625814e-05,
+      "loss": 0.8838,
+      "step": 760
+    },
+    {
+      "epoch": 3.2042105263157894,
+      "grad_norm": 1.453125,
+      "learning_rate": 1.8980345753103612e-05,
+      "loss": 1.0451,
+      "step": 761
+    },
+    {
+      "epoch": 3.208421052631579,
+      "grad_norm": 0.34765625,
+      "learning_rate": 1.8784481705498015e-05,
+      "loss": 0.9438,
+      "step": 762
+    },
+    {
+      "epoch": 3.2126315789473683,
+      "grad_norm": 0.478515625,
+      "learning_rate": 1.8589528687901723e-05,
+      "loss": 1.0965,
+      "step": 763
+    },
+    {
+      "epoch": 3.216842105263158,
+      "grad_norm": 0.4765625,
+      "learning_rate": 1.8395488887188005e-05,
+      "loss": 0.9689,
+      "step": 764
+    },
+    {
+      "epoch": 3.221052631578947,
+      "grad_norm": 0.419921875,
+      "learning_rate": 1.82023644799863e-05,
+      "loss": 1.084,
+      "step": 765
+    },
+    {
+      "epoch": 3.225263157894737,
+      "grad_norm": 0.85546875,
+      "learning_rate": 1.8010157632657543e-05,
+      "loss": 0.5852,
+      "step": 766
+    },
+    {
+      "epoch": 3.2294736842105265,
+      "grad_norm": 0.703125,
+      "learning_rate": 1.7818870501270057e-05,
+      "loss": 0.9669,
+      "step": 767
+    },
+    {
+      "epoch": 3.2336842105263157,
+      "grad_norm": 0.828125,
+      "learning_rate": 1.762850523157532e-05,
+      "loss": 0.7386,
+      "step": 768
+    },
+    {
+      "epoch": 3.2378947368421054,
+      "grad_norm": 0.6875,
+      "learning_rate": 1.7439063958983858e-05,
+      "loss": 1.1098,
+      "step": 769
+    },
+    {
+      "epoch": 3.2421052631578946,
+      "grad_norm": 0.6328125,
+      "learning_rate": 1.7250548808541322e-05,
+      "loss": 0.9314,
+      "step": 770
+    },
+    {
+      "epoch": 3.2463157894736843,
+      "grad_norm": 0.48046875,
+      "learning_rate": 1.706296189490465e-05,
+      "loss": 0.8762,
+      "step": 771
+    },
+    {
+      "epoch": 3.2505263157894735,
+      "grad_norm": 0.45703125,
+      "learning_rate": 1.687630532231833e-05,
+      "loss": 0.9833,
+      "step": 772
+    },
+    {
+      "epoch": 3.254736842105263,
+      "grad_norm": 0.3359375,
+      "learning_rate": 1.6690581184590858e-05,
+      "loss": 1.0493,
+      "step": 773
+    },
+    {
+      "epoch": 3.258947368421053,
+      "grad_norm": 0.66796875,
+      "learning_rate": 1.6505791565071138e-05,
+      "loss": 0.6527,
+      "step": 774
+    },
+    {
+      "epoch": 3.263157894736842,
+      "grad_norm": 1.15625,
+      "learning_rate": 1.6321938536625192e-05,
+      "loss": 1.0197,
+      "step": 775
+    },
+    {
+      "epoch": 3.2673684210526317,
+      "grad_norm": 0.51953125,
+      "learning_rate": 1.613902416161288e-05,
+      "loss": 1.1179,
+      "step": 776
+    },
+    {
+      "epoch": 3.271578947368421,
+      "grad_norm": 0.5546875,
+      "learning_rate": 1.5957050491864843e-05,
+      "loss": 0.7595,
+      "step": 777
+    },
+    {
+      "epoch": 3.2757894736842106,
+      "grad_norm": 0.87109375,
+      "learning_rate": 1.5776019568659338e-05,
+      "loss": 0.9304,
+      "step": 778
+    },
+    {
+      "epoch": 3.2800000000000002,
+      "grad_norm": 0.5078125,
+      "learning_rate": 1.559593342269945e-05,
+      "loss": 0.9252,
+      "step": 779
+    },
+    {
+      "epoch": 3.2842105263157895,
+      "grad_norm": 0.44140625,
+      "learning_rate": 1.5416794074090258e-05,
+      "loss": 0.9943,
+      "step": 780
+    },
+    {
+      "epoch": 3.2842105263157895,
+      "eval_loss": 1.2286467552185059,
+      "eval_runtime": 25.9074,
+      "eval_samples_per_second": 3.86,
+      "eval_steps_per_second": 1.93,
+      "step": 780
+    },
+    {
+      "epoch": 3.288421052631579,
+      "grad_norm": 0.4921875,
+      "learning_rate": 1.5238603532316287e-05,
+      "loss": 0.8001,
+      "step": 781
+    },
+    {
+      "epoch": 3.2926315789473684,
+      "grad_norm": 0.91796875,
+      "learning_rate": 1.5061363796218785e-05,
+      "loss": 0.7387,
+      "step": 782
+    },
+    {
+      "epoch": 3.296842105263158,
+      "grad_norm": 0.609375,
+      "learning_rate": 1.4885076853973446e-05,
+      "loss": 1.1835,
+      "step": 783
+    },
+    {
+      "epoch": 3.3010526315789472,
+      "grad_norm": 0.451171875,
+      "learning_rate": 1.4709744683068039e-05,
+      "loss": 1.0573,
+      "step": 784
+    },
+    {
+      "epoch": 3.305263157894737,
+      "grad_norm": 0.42578125,
+      "learning_rate": 1.453536925028025e-05,
+      "loss": 0.9381,
+      "step": 785
+    },
+    {
+      "epoch": 3.309473684210526,
+      "grad_norm": 0.51953125,
+      "learning_rate": 1.4361952511655618e-05,
+      "loss": 1.0083,
+      "step": 786
+    },
+    {
+      "epoch": 3.313684210526316,
+      "grad_norm": 0.546875,
+      "learning_rate": 1.4189496412485592e-05,
+      "loss": 0.9212,
+      "step": 787
+    },
+    {
+      "epoch": 3.3178947368421055,
+      "grad_norm": 0.47265625,
+      "learning_rate": 1.4018002887285687e-05,
+      "loss": 0.936,
+      "step": 788
+    },
+    {
+      "epoch": 3.3221052631578947,
+      "grad_norm": 0.57421875,
+      "learning_rate": 1.3847473859773851e-05,
+      "loss": 0.8633,
+      "step": 789
+    },
+    {
+      "epoch": 3.3263157894736843,
+      "grad_norm": 0.6484375,
+      "learning_rate": 1.3677911242848806e-05,
+      "loss": 0.7159,
+      "step": 790
+    },
+    {
+      "epoch": 3.3305263157894736,
+      "grad_norm": 0.66796875,
+      "learning_rate": 1.3509316938568616e-05,
+      "loss": 0.8585,
+      "step": 791
+    },
+    {
+      "epoch": 3.334736842105263,
+      "grad_norm": 0.5859375,
+      "learning_rate": 1.334169283812936e-05,
+      "loss": 0.7944,
+      "step": 792
+    },
+    {
+      "epoch": 3.3389473684210524,
+      "grad_norm": 1.2421875,
+      "learning_rate": 1.3175040821843954e-05,
+      "loss": 0.7234,
+      "step": 793
+    },
+    {
+      "epoch": 3.343157894736842,
+      "grad_norm": 0.5546875,
+      "learning_rate": 1.300936275912098e-05,
+      "loss": 0.9608,
+      "step": 794
+    },
+    {
+      "epoch": 3.3473684210526318,
+      "grad_norm": 0.58984375,
+      "learning_rate": 1.284466050844374e-05,
+      "loss": 0.9962,
+      "step": 795
+    },
+    {
+      "epoch": 3.351578947368421,
+      "grad_norm": 0.453125,
+      "learning_rate": 1.2680935917349523e-05,
+      "loss": 1.0175,
+      "step": 796
+    },
+    {
+      "epoch": 3.3557894736842107,
+      "grad_norm": 0.515625,
+      "learning_rate": 1.251819082240866e-05,
+      "loss": 0.8974,
+      "step": 797
+    },
+    {
+      "epoch": 3.36,
+      "grad_norm": 0.6484375,
+      "learning_rate": 1.2356427049204122e-05,
+      "loss": 0.9817,
+      "step": 798
+    },
+    {
+      "epoch": 3.3642105263157895,
+      "grad_norm": 0.76953125,
+      "learning_rate": 1.2195646412310936e-05,
+      "loss": 0.915,
+      "step": 799
+    },
+    {
+      "epoch": 3.3684210526315788,
+      "grad_norm": 0.48046875,
+      "learning_rate": 1.2035850715275865e-05,
+      "loss": 0.7109,
+      "step": 800
+    },
+    {
+      "epoch": 3.3726315789473684,
+      "grad_norm": 0.4453125,
+      "learning_rate": 1.1877041750597173e-05,
+      "loss": 0.9533,
+      "step": 801
+    },
+    {
+      "epoch": 3.376842105263158,
+      "grad_norm": 0.51171875,
+      "learning_rate": 1.1719221299704497e-05,
+      "loss": 0.913,
+      "step": 802
+    },
+    {
+      "epoch": 3.3810526315789473,
+      "grad_norm": 0.38671875,
+      "learning_rate": 1.1562391132938899e-05,
+      "loss": 0.6807,
+      "step": 803
+    },
+    {
+      "epoch": 3.385263157894737,
+      "grad_norm": 0.53125,
+      "learning_rate": 1.1406553009533027e-05,
+      "loss": 0.7178,
+      "step": 804
+    },
+    {
+      "epoch": 3.389473684210526,
+      "grad_norm": 0.458984375,
+      "learning_rate": 1.1251708677591277e-05,
+      "loss": 0.9133,
+      "step": 805
+    },
+    {
+      "epoch": 3.393684210526316,
+      "grad_norm": 0.41015625,
+      "learning_rate": 1.1097859874070294e-05,
+      "loss": 1.0886,
+      "step": 806
+    },
+    {
+      "epoch": 3.397894736842105,
+      "grad_norm": 0.40625,
+      "learning_rate": 1.0945008324759398e-05,
+      "loss": 0.6535,
+      "step": 807
+    },
+    {
+      "epoch": 3.4021052631578947,
+      "grad_norm": 0.53515625,
+      "learning_rate": 1.0793155744261351e-05,
+      "loss": 0.7147,
+      "step": 808
+    },
+    {
+      "epoch": 3.406315789473684,
+      "grad_norm": 0.546875,
+      "learning_rate": 1.0642303835972989e-05,
+      "loss": 1.0274,
+      "step": 809
+    },
+    {
+      "epoch": 3.4105263157894736,
+      "grad_norm": 0.54296875,
+      "learning_rate": 1.0492454292066178e-05,
+      "loss": 0.9565,
+      "step": 810
+    },
+    {
+      "epoch": 3.4147368421052633,
+      "grad_norm": 0.67578125,
+      "learning_rate": 1.0343608793468795e-05,
+      "loss": 0.7828,
+      "step": 811
+    },
+    {
+      "epoch": 3.4189473684210525,
+      "grad_norm": 0.5625,
+      "learning_rate": 1.019576900984599e-05,
+      "loss": 0.5662,
+      "step": 812
+    },
+    {
+      "epoch": 3.423157894736842,
+      "grad_norm": 0.69140625,
+      "learning_rate": 1.0048936599581294e-05,
+      "loss": 0.6854,
+      "step": 813
+    },
+    {
+      "epoch": 3.4273684210526314,
+      "grad_norm": 0.5859375,
+      "learning_rate": 9.903113209758096e-06,
+      "loss": 0.9926,
+      "step": 814
+    },
+    {
+      "epoch": 3.431578947368421,
+      "grad_norm": 0.6171875,
+      "learning_rate": 9.75830047614117e-06,
+      "loss": 0.9336,
+      "step": 815
+    },
+    {
+      "epoch": 3.4357894736842107,
+      "grad_norm": 0.56640625,
+      "learning_rate": 9.614500023158336e-06,
+      "loss": 0.5855,
+      "step": 816
+    },
+    {
+      "epoch": 3.44,
+      "grad_norm": 0.609375,
+      "learning_rate": 9.471713463882193e-06,
+      "loss": 0.6517,
+      "step": 817
+    },
+    {
+      "epoch": 3.4442105263157896,
+      "grad_norm": 0.5390625,
+      "learning_rate": 9.32994240001206e-06,
+      "loss": 0.7409,
+      "step": 818
+    },
+    {
+      "epoch": 3.448421052631579,
+      "grad_norm": 0.494140625,
+      "learning_rate": 9.189188421855976e-06,
+      "loss": 0.9442,
+      "step": 819
+    },
+    {
+      "epoch": 3.4526315789473685,
+      "grad_norm": 0.90234375,
+      "learning_rate": 9.049453108312966e-06,
+      "loss": 0.9277,
+      "step": 820
+    },
+    {
+      "epoch": 3.4568421052631577,
+      "grad_norm": 0.462890625,
+      "learning_rate": 8.91073802685517e-06,
+      "loss": 0.8213,
+      "step": 821
+    },
+    {
+      "epoch": 3.4610526315789474,
+      "grad_norm": 0.462890625,
+      "learning_rate": 8.773044733510338e-06,
+      "loss": 0.9823,
+      "step": 822
+    },
+    {
+      "epoch": 3.4652631578947366,
+      "grad_norm": 0.373046875,
+      "learning_rate": 8.63637477284439e-06,
+      "loss": 0.7546,
+      "step": 823
+    },
+    {
+      "epoch": 3.4694736842105263,
+      "grad_norm": 0.51953125,
+      "learning_rate": 8.50072967794413e-06,
+      "loss": 0.9332,
+      "step": 824
+    },
+    {
+      "epoch": 3.473684210526316,
+      "grad_norm": 0.4765625,
+      "learning_rate": 8.366110970399922e-06,
+      "loss": 0.8852,
+      "step": 825
+    },
+    {
+      "epoch": 3.477894736842105,
+      "grad_norm": 0.4921875,
+      "learning_rate": 8.232520160288704e-06,
+      "loss": 1.1599,
+      "step": 826
+    },
+    {
+      "epoch": 3.482105263157895,
+      "grad_norm": 0.72265625,
+      "learning_rate": 8.099958746157067e-06,
+      "loss": 0.8591,
+      "step": 827
+    },
+    {
+      "epoch": 3.486315789473684,
+      "grad_norm": 0.341796875,
+      "learning_rate": 7.96842821500442e-06,
+      "loss": 0.8354,
+      "step": 828
+    },
+    {
+      "epoch": 3.4905263157894737,
+      "grad_norm": 0.70703125,
+      "learning_rate": 7.837930042266262e-06,
+      "loss": 1.1108,
+      "step": 829
+    },
+    {
+      "epoch": 3.4947368421052634,
+      "grad_norm": 0.75390625,
+      "learning_rate": 7.708465691797717e-06,
+      "loss": 0.8228,
+      "step": 830
+    },
+    {
+      "epoch": 3.4989473684210526,
+      "grad_norm": 0.3359375,
+      "learning_rate": 7.580036615857056e-06,
+      "loss": 0.6261,
+      "step": 831
+    },
+    {
+      "epoch": 3.5031578947368422,
+      "grad_norm": 0.52734375,
+      "learning_rate": 7.452644255089425e-06,
+      "loss": 0.8411,
+      "step": 832
+    },
+    {
+      "epoch": 3.5073684210526315,
+      "grad_norm": 0.52734375,
+      "learning_rate": 7.326290038510686e-06,
+      "loss": 0.8299,
+      "step": 833
+    },
+    {
+      "epoch": 3.511578947368421,
+      "grad_norm": 0.4609375,
+      "learning_rate": 7.20097538349136e-06,
+      "loss": 0.8227,
+      "step": 834
+    },
+    {
+      "epoch": 3.515789473684211,
+      "grad_norm": 0.5625,
+      "learning_rate": 7.076701695740806e-06,
+      "loss": 0.8436,
+      "step": 835
+    },
+    {
+      "epoch": 3.52,
+      "grad_norm": 0.400390625,
+      "learning_rate": 6.953470369291348e-06,
+      "loss": 0.9071,
+      "step": 836
+    },
+    {
+      "epoch": 3.5242105263157892,
+      "grad_norm": 0.58984375,
+      "learning_rate": 6.8312827864826954e-06,
+      "loss": 0.7809,
+      "step": 837
+    },
+    {
+      "epoch": 3.528421052631579,
+      "grad_norm": 0.58203125,
+      "learning_rate": 6.710140317946423e-06,
+      "loss": 0.817,
+      "step": 838
+    },
+    {
+      "epoch": 3.5326315789473686,
+      "grad_norm": 0.984375,
+      "learning_rate": 6.59004432259065e-06,
+      "loss": 1.0496,
+      "step": 839
+    },
+    {
+      "epoch": 3.536842105263158,
+      "grad_norm": 0.99609375,
+      "learning_rate": 6.470996147584685e-06,
+      "loss": 1.0043,
+      "step": 840
+    },
+    {
+      "epoch": 3.536842105263158,
+      "eval_loss": 1.2289316654205322,
+      "eval_runtime": 25.9817,
+      "eval_samples_per_second": 3.849,
+      "eval_steps_per_second": 1.924,
+      "step": 840
+    },
+    {
+      "epoch": 3.5410526315789475,
+      "grad_norm": 0.40625,
+      "learning_rate": 6.352997128344007e-06,
+      "loss": 0.9158,
+      "step": 841
+    },
+    {
+      "epoch": 3.5452631578947367,
+      "grad_norm": 0.54296875,
+      "learning_rate": 6.236048588515242e-06,
+      "loss": 0.6722,
+      "step": 842
+    },
+    {
+      "epoch": 3.5494736842105263,
+      "grad_norm": 0.65234375,
+      "learning_rate": 6.1201518399613635e-06,
+      "loss": 0.8325,
+      "step": 843
+    },
+    {
+      "epoch": 3.553684210526316,
+      "grad_norm": 0.71484375,
+      "learning_rate": 6.0053081827469045e-06,
+      "loss": 0.8378,
+      "step": 844
+    },
+    {
+      "epoch": 3.557894736842105,
+      "grad_norm": 0.47265625,
+      "learning_rate": 5.891518905123428e-06,
+      "loss": 0.7611,
+      "step": 845
+    },
+    {
+      "epoch": 3.562105263157895,
+      "grad_norm": 0.5,
+      "learning_rate": 5.778785283515053e-06,
+      "loss": 1.0624,
+      "step": 846
+    },
+    {
+      "epoch": 3.566315789473684,
+      "grad_norm": 0.703125,
+      "learning_rate": 5.667108582504143e-06,
+      "loss": 1.2832,
+      "step": 847
+    },
+    {
+      "epoch": 3.5705263157894738,
+      "grad_norm": 0.53515625,
+      "learning_rate": 5.556490054817132e-06,
+      "loss": 0.5906,
+      "step": 848
+    },
+    {
+      "epoch": 3.5747368421052634,
+      "grad_norm": 0.41796875,
+      "learning_rate": 5.446930941310447e-06,
+      "loss": 0.8559,
+      "step": 849
+    },
+    {
+      "epoch": 3.5789473684210527,
+      "grad_norm": 0.578125,
+      "learning_rate": 5.338432470956589e-06,
+      "loss": 0.9846,
+      "step": 850
+    },
+    {
+      "epoch": 3.583157894736842,
+      "grad_norm": 1.1328125,
+      "learning_rate": 5.230995860830412e-06,
+      "loss": 0.6747,
+      "step": 851
+    },
+    {
+      "epoch": 3.5873684210526315,
+      "grad_norm": 0.6953125,
+      "learning_rate": 5.1246223160953845e-06,
+      "loss": 0.9996,
+      "step": 852
+    },
+    {
+      "epoch": 3.591578947368421,
+      "grad_norm": 0.484375,
+      "learning_rate": 5.019313029990092e-06,
+      "loss": 0.8196,
+      "step": 853
+    },
+    {
+      "epoch": 3.5957894736842104,
+      "grad_norm": 0.69140625,
+      "learning_rate": 4.91506918381488e-06,
+      "loss": 1.1009,
+      "step": 854
+    },
+    {
+      "epoch": 3.6,
+      "grad_norm": 0.58984375,
+      "learning_rate": 4.811891946918612e-06,
+      "loss": 0.7668,
+      "step": 855
+    },
+    {
+      "epoch": 3.6042105263157893,
+      "grad_norm": 0.6328125,
+      "learning_rate": 4.7097824766854756e-06,
+      "loss": 0.9518,
+      "step": 856
+    },
+    {
+      "epoch": 3.608421052631579,
+      "grad_norm": 0.33984375,
+      "learning_rate": 4.608741918522097e-06,
+      "loss": 0.8728,
+      "step": 857
+    },
+    {
+      "epoch": 3.6126315789473686,
+      "grad_norm": 0.77734375,
+      "learning_rate": 4.508771405844636e-06,
+      "loss": 0.4115,
+      "step": 858
+    },
+    {
+      "epoch": 3.616842105263158,
+      "grad_norm": 0.8203125,
+      "learning_rate": 4.4098720600660785e-06,
+      "loss": 0.6579,
+      "step": 859
+    },
+    {
+      "epoch": 3.6210526315789475,
+      "grad_norm": 0.37890625,
+      "learning_rate": 4.312044990583675e-06,
+      "loss": 0.599,
+      "step": 860
+    },
+    {
+      "epoch": 3.6252631578947367,
+      "grad_norm": 0.4765625,
+      "learning_rate": 4.215291294766455e-06,
+      "loss": 0.8502,
+      "step": 861
+    },
+    {
+      "epoch": 3.6294736842105264,
+      "grad_norm": 0.703125,
+      "learning_rate": 4.119612057942978e-06,
+      "loss": 0.7009,
+      "step": 862
+    },
+    {
+      "epoch": 3.6336842105263156,
+      "grad_norm": 0.76953125,
+      "learning_rate": 4.025008353389104e-06,
+      "loss": 0.9114,
+      "step": 863
+    },
+    {
+      "epoch": 3.6378947368421053,
+      "grad_norm": 0.62890625,
+      "learning_rate": 3.931481242315993e-06,
+      "loss": 0.7777,
+      "step": 864
+    },
+    {
+      "epoch": 3.6421052631578945,
+      "grad_norm": 0.76171875,
+      "learning_rate": 3.8390317738581595e-06,
+      "loss": 0.9164,
+      "step": 865
+    },
+    {
+      "epoch": 3.646315789473684,
+      "grad_norm": 0.875,
+      "learning_rate": 3.747660985061785e-06,
+      "loss": 0.6349,
+      "step": 866
+    },
+    {
+      "epoch": 3.650526315789474,
+      "grad_norm": 0.71484375,
+      "learning_rate": 3.6573699008729644e-06,
+      "loss": 0.7808,
+      "step": 867
+    },
+    {
+      "epoch": 3.654736842105263,
+      "grad_norm": 0.439453125,
+      "learning_rate": 3.568159534126314e-06,
+      "loss": 1.1544,
+      "step": 868
+    },
+    {
+      "epoch": 3.6589473684210527,
+      "grad_norm": 0.9296875,
+      "learning_rate": 3.480030885533536e-06,
+      "loss": 1.1083,
+      "step": 869
+    },
+    {
+      "epoch": 3.663157894736842,
+      "grad_norm": 0.55078125,
+      "learning_rate": 3.3929849436722728e-06,
+      "loss": 1.0263,
+      "step": 870
+    },
+    {
+      "epoch": 3.6673684210526316,
+      "grad_norm": 0.609375,
+      "learning_rate": 3.3070226849749366e-06,
+      "loss": 0.7433,
+      "step": 871
+    },
+    {
+      "epoch": 3.6715789473684213,
+      "grad_norm": 0.55078125,
+      "learning_rate": 3.2221450737178083e-06,
+      "loss": 1.0724,
+      "step": 872
+    },
+    {
+      "epoch": 3.6757894736842105,
+      "grad_norm": 0.63671875,
+      "learning_rate": 3.1383530620101687e-06,
+      "loss": 0.4376,
+      "step": 873
+    },
+    {
+      "epoch": 3.68,
+      "grad_norm": 1.1015625,
+      "learning_rate": 3.0556475897837166e-06,
+      "loss": 0.7161,
+      "step": 874
+    },
+    {
+      "epoch": 3.6842105263157894,
+      "grad_norm": 0.99609375,
+      "learning_rate": 2.974029584781912e-06,
+      "loss": 0.6898,
+      "step": 875
+    },
+    {
+      "epoch": 3.688421052631579,
+      "grad_norm": 0.51171875,
+      "learning_rate": 2.8934999625496282e-06,
+      "loss": 0.6731,
+      "step": 876
+    },
+    {
+      "epoch": 3.6926315789473683,
+      "grad_norm": 0.56640625,
+      "learning_rate": 2.8140596264228936e-06,
+      "loss": 1.0746,
+      "step": 877
+    },
+    {
+      "epoch": 3.696842105263158,
+      "grad_norm": 0.578125,
+      "learning_rate": 2.735709467518699e-06,
+      "loss": 1.1134,
+      "step": 878
+    },
+    {
+      "epoch": 3.701052631578947,
+      "grad_norm": 0.58203125,
+      "learning_rate": 2.6584503647250847e-06,
+      "loss": 1.03,
+      "step": 879
+    },
+    {
+      "epoch": 3.705263157894737,
+      "grad_norm": 0.416015625,
+      "learning_rate": 2.5822831846912033e-06,
+      "loss": 1.0116,
+      "step": 880
+    },
+    {
+      "epoch": 3.7094736842105265,
+      "grad_norm": 0.474609375,
+      "learning_rate": 2.5072087818176382e-06,
+      "loss": 1.3308,
+      "step": 881
+    },
+    {
+      "epoch": 3.7136842105263157,
+      "grad_norm": 0.70703125,
+      "learning_rate": 2.4332279982468453e-06,
+      "loss": 0.8459,
+      "step": 882
+    },
+    {
+      "epoch": 3.7178947368421054,
+      "grad_norm": 0.6875,
+      "learning_rate": 2.360341663853627e-06,
+      "loss": 1.0375,
+      "step": 883
+    },
+    {
+      "epoch": 3.7221052631578946,
+      "grad_norm": 0.453125,
+      "learning_rate": 2.2885505962359054e-06,
+      "loss": 0.8915,
+      "step": 884
+    },
+    {
+      "epoch": 3.7263157894736842,
+      "grad_norm": 0.8671875,
+      "learning_rate": 2.2178556007054872e-06,
+      "loss": 0.7733,
+      "step": 885
+    },
+    {
+      "epoch": 3.730526315789474,
+      "grad_norm": 0.734375,
+      "learning_rate": 2.1482574702790803e-06,
+      "loss": 0.8054,
+      "step": 886
+    },
+    {
+      "epoch": 3.734736842105263,
+      "grad_norm": 0.95703125,
+      "learning_rate": 2.079756985669379e-06,
+      "loss": 0.6983,
+      "step": 887
+    },
+    {
+      "epoch": 3.738947368421053,
+      "grad_norm": 0.71484375,
+      "learning_rate": 2.0123549152762823e-06,
+      "loss": 1.1439,
+      "step": 888
+    },
+    {
+      "epoch": 3.743157894736842,
+      "grad_norm": 0.49609375,
+      "learning_rate": 1.9460520151783233e-06,
+      "loss": 1.0331,
+      "step": 889
+    },
+    {
+      "epoch": 3.7473684210526317,
+      "grad_norm": 0.44140625,
+      "learning_rate": 1.8808490291241432e-06,
+      "loss": 0.6042,
+      "step": 890
+    },
+    {
+      "epoch": 3.751578947368421,
+      "grad_norm": 0.57421875,
+      "learning_rate": 1.8167466885241625e-06,
+      "loss": 0.8279,
+      "step": 891
+    },
+    {
+      "epoch": 3.7557894736842106,
+      "grad_norm": 0.5,
+      "learning_rate": 1.7537457124423895e-06,
+      "loss": 0.6845,
+      "step": 892
+    },
+    {
+      "epoch": 3.76,
+      "grad_norm": 0.5078125,
+      "learning_rate": 1.6918468075883488e-06,
+      "loss": 0.9477,
+      "step": 893
+    },
+    {
+      "epoch": 3.7642105263157895,
+      "grad_norm": 0.57421875,
+      "learning_rate": 1.631050668309131e-06,
+      "loss": 0.9711,
+      "step": 894
+    },
+    {
+      "epoch": 3.768421052631579,
+      "grad_norm": 0.46875,
+      "learning_rate": 1.5713579765816555e-06,
+      "loss": 0.6749,
+      "step": 895
+    },
+    {
+      "epoch": 3.7726315789473683,
+      "grad_norm": 0.59375,
+      "learning_rate": 1.5127694020049432e-06,
+      "loss": 0.8045,
+      "step": 896
+    },
+    {
+      "epoch": 3.776842105263158,
+      "grad_norm": 0.50390625,
+      "learning_rate": 1.4552856017926886e-06,
+      "loss": 0.8082,
+      "step": 897
+    },
+    {
+      "epoch": 3.781052631578947,
+      "grad_norm": 0.671875,
+      "learning_rate": 1.3989072207658328e-06,
+      "loss": 0.8721,
+      "step": 898
+    },
+    {
+      "epoch": 3.785263157894737,
+      "grad_norm": 0.7109375,
+      "learning_rate": 1.3436348913453578e-06,
+      "loss": 0.9514,
+      "step": 899
+    },
+    {
+      "epoch": 3.7894736842105265,
+      "grad_norm": 0.79296875,
+      "learning_rate": 1.2894692335451375e-06,
+      "loss": 1.128,
+      "step": 900
+    },
+    {
+      "epoch": 3.7894736842105265,
+      "eval_loss": 1.2294663190841675,
+      "eval_runtime": 25.9303,
+      "eval_samples_per_second": 3.856,
+      "eval_steps_per_second": 1.928,
+      "step": 900
+    },
+    {
+      "epoch": 3.7936842105263158,
+      "grad_norm": 0.474609375,
+      "learning_rate": 1.2364108549650976e-06,
+      "loss": 0.8639,
+      "step": 901
+    },
+    {
+      "epoch": 3.797894736842105,
+      "grad_norm": 0.51171875,
+      "learning_rate": 1.1844603507842668e-06,
+      "loss": 0.8217,
+      "step": 902
+    },
+    {
+      "epoch": 3.8021052631578947,
+      "grad_norm": 0.376953125,
+      "learning_rate": 1.1336183037541914e-06,
+      "loss": 1.0223,
+      "step": 903
+    },
+    {
+      "epoch": 3.8063157894736843,
+      "grad_norm": 0.61328125,
+      "learning_rate": 1.083885284192354e-06,
+      "loss": 0.8096,
+      "step": 904
+    },
+    {
+      "epoch": 3.8105263157894735,
+      "grad_norm": 0.53515625,
+      "learning_rate": 1.0352618499758216e-06,
+      "loss": 0.9039,
+      "step": 905
+    },
+    {
+      "epoch": 3.814736842105263,
+      "grad_norm": 0.345703125,
+      "learning_rate": 9.877485465349058e-07,
+      "loss": 0.9409,
+      "step": 906
+    },
+    {
+      "epoch": 3.8189473684210524,
+      "grad_norm": 2.015625,
+      "learning_rate": 9.413459068471353e-07,
+      "loss": 1.2651,
+      "step": 907
+    },
+    {
+      "epoch": 3.823157894736842,
+      "grad_norm": 0.5546875,
+      "learning_rate": 8.960544514312275e-07,
+      "loss": 0.8617,
+      "step": 908
+    },
+    {
+      "epoch": 3.8273684210526318,
+      "grad_norm": 0.69140625,
+      "learning_rate": 8.518746883412587e-07,
+      "loss": 0.9737,
+      "step": 909
+    },
+    {
+      "epoch": 3.831578947368421,
+      "grad_norm": 0.609375,
+      "learning_rate": 8.088071131609587e-07,
+      "loss": 0.8379,
+      "step": 910
+    },
+    {
+      "epoch": 3.8357894736842106,
+      "grad_norm": 0.67578125,
+      "learning_rate": 7.66852208998159e-07,
+      "loss": 0.9968,
+      "step": 911
+    },
+    {
+      "epoch": 3.84,
+      "grad_norm": 0.76953125,
+      "learning_rate": 7.26010446479397e-07,
+      "loss": 0.9101,
+      "step": 912
+    },
+    {
+      "epoch": 3.8442105263157895,
+      "grad_norm": 0.482421875,
+      "learning_rate": 6.862822837445881e-07,
+      "loss": 1.0709,
+      "step": 913
+    },
+    {
+      "epoch": 3.848421052631579,
+      "grad_norm": 0.57421875,
+      "learning_rate": 6.476681664419171e-07,
+      "loss": 0.7148,
+      "step": 914
+    },
+    {
+      "epoch": 3.8526315789473684,
+      "grad_norm": 0.470703125,
+      "learning_rate": 6.101685277228319e-07,
+      "loss": 0.9929,
+      "step": 915
+    },
+    {
+      "epoch": 3.8568421052631576,
+      "grad_norm": 0.53515625,
+      "learning_rate": 5.737837882371922e-07,
+      "loss": 0.6993,
+      "step": 916
+    },
+    {
+      "epoch": 3.8610526315789473,
+      "grad_norm": 0.5390625,
+      "learning_rate": 5.3851435612855e-07,
+      "loss": 1.0105,
+      "step": 917
+    },
+    {
+      "epoch": 3.865263157894737,
+      "grad_norm": 0.45703125,
+      "learning_rate": 5.043606270295654e-07,
+      "loss": 1.1952,
+      "step": 918
+    },
+    {
+      "epoch": 3.869473684210526,
+      "grad_norm": 0.50390625,
+      "learning_rate": 4.7132298405754285e-07,
+      "loss": 0.9961,
+      "step": 919
+    },
+    {
+      "epoch": 3.873684210526316,
+      "grad_norm": 0.43359375,
+      "learning_rate": 4.3940179781019055e-07,
+      "loss": 1.1113,
+      "step": 920
+    },
+    {
+      "epoch": 3.877894736842105,
+      "grad_norm": 0.51953125,
+      "learning_rate": 4.0859742636142337e-07,
+      "loss": 1.0482,
+      "step": 921
+    },
+    {
+      "epoch": 3.8821052631578947,
+      "grad_norm": 0.30078125,
+      "learning_rate": 3.789102152573665e-07,
+      "loss": 0.693,
+      "step": 922
+    },
+    {
+      "epoch": 3.8863157894736844,
+      "grad_norm": 0.455078125,
+      "learning_rate": 3.503404975124469e-07,
+      "loss": 0.9989,
+      "step": 923
+    },
+    {
+      "epoch": 3.8905263157894736,
+      "grad_norm": 0.3828125,
+      "learning_rate": 3.228885936056858e-07,
+      "loss": 0.8858,
+      "step": 924
+    },
+    {
+      "epoch": 3.8947368421052633,
+      "grad_norm": 2.03125,
+      "learning_rate": 2.9655481147712326e-07,
+      "loss": 0.9219,
+      "step": 925
+    },
+    {
+      "epoch": 3.8989473684210525,
+      "grad_norm": 0.52734375,
+      "learning_rate": 2.713394465242991e-07,
+      "loss": 0.9195,
+      "step": 926
+    },
+    {
+      "epoch": 3.903157894736842,
+      "grad_norm": 0.443359375,
+      "learning_rate": 2.472427815989886e-07,
+      "loss": 0.9765,
+      "step": 927
+    },
+    {
+      "epoch": 3.907368421052632,
+      "grad_norm": 0.37890625,
+      "learning_rate": 2.242650870040497e-07,
+      "loss": 0.9362,
+      "step": 928
+    },
+    {
+      "epoch": 3.911578947368421,
+      "grad_norm": 0.765625,
+      "learning_rate": 2.024066204903252e-07,
+      "loss": 0.5604,
+      "step": 929
+    },
+    {
+      "epoch": 3.9157894736842103,
+      "grad_norm": 1.15625,
+      "learning_rate": 1.8166762725381203e-07,
+      "loss": 1.0528,
+      "step": 930
+    },
+    {
+      "epoch": 3.92,
+      "grad_norm": 0.455078125,
+      "learning_rate": 1.6204833993285206e-07,
+      "loss": 0.9142,
+      "step": 931
+    },
+    {
+      "epoch": 3.9242105263157896,
+      "grad_norm": 0.57421875,
+      "learning_rate": 1.4354897860558992e-07,
+      "loss": 1.2521,
+      "step": 932
+    },
+    {
+      "epoch": 3.928421052631579,
+      "grad_norm": 0.57421875,
+      "learning_rate": 1.2616975078746373e-07,
+      "loss": 0.9689,
+      "step": 933
+    },
+    {
+      "epoch": 3.9326315789473685,
+      "grad_norm": 0.42578125,
+      "learning_rate": 1.0991085142886271e-07,
+      "loss": 0.7758,
+      "step": 934
+    },
+    {
+      "epoch": 3.9368421052631577,
+      "grad_norm": 0.8203125,
+      "learning_rate": 9.477246291297314e-08,
+      "loss": 0.9825,
+      "step": 935
+    },
+    {
+      "epoch": 3.9410526315789474,
+      "grad_norm": 0.5,
+      "learning_rate": 8.075475505373575e-08,
+      "loss": 0.9046,
+      "step": 936
+    },
+    {
+      "epoch": 3.945263157894737,
+      "grad_norm": 0.4765625,
+      "learning_rate": 6.785788509392488e-08,
+      "loss": 1.0151,
+      "step": 937
+    },
+    {
+      "epoch": 3.9494736842105262,
+      "grad_norm": 0.47265625,
+      "learning_rate": 5.608199770334999e-08,
+      "loss": 0.873,
+      "step": 938
+    },
+    {
+      "epoch": 3.953684210526316,
+      "grad_norm": 0.578125,
+      "learning_rate": 4.542722497730134e-08,
+      "loss": 0.8194,
+      "step": 939
+    },
+    {
+      "epoch": 3.957894736842105,
+      "grad_norm": 0.703125,
+      "learning_rate": 3.5893686435029e-08,
+      "loss": 0.9057,
+      "step": 940
+    },
+    {
+      "epoch": 3.962105263157895,
+      "grad_norm": 0.62109375,
+      "learning_rate": 2.7481489018410523e-08,
+      "loss": 1.1382,
+      "step": 941
+    },
+    {
+      "epoch": 3.9663157894736845,
+      "grad_norm": 0.380859375,
+      "learning_rate": 2.019072709074088e-08,
+      "loss": 1.0322,
+      "step": 942
+    },
+    {
+      "epoch": 3.9705263157894737,
+      "grad_norm": 0.5078125,
+      "learning_rate": 1.4021482435688794e-08,
+      "loss": 0.9812,
+      "step": 943
+    },
+    {
+      "epoch": 3.974736842105263,
+      "grad_norm": 0.49609375,
+      "learning_rate": 8.973824256364171e-09,
+      "loss": 0.7316,
+      "step": 944
+    },
+    {
+      "epoch": 3.9789473684210526,
+      "grad_norm": 0.546875,
+      "learning_rate": 5.047809174574258e-09,
+      "loss": 0.9063,
+      "step": 945
+    },
+    {
+      "epoch": 3.9831578947368422,
+      "grad_norm": 0.421875,
+      "learning_rate": 2.2434812301352913e-09,
+      "loss": 1.0714,
+      "step": 946
+    },
+    {
+      "epoch": 3.9873684210526315,
+      "grad_norm": 0.474609375,
+      "learning_rate": 5.60871880417313e-10,
+      "loss": 0.9579,
+      "step": 947
+    },
+    {
+      "epoch": 3.991578947368421,
+      "grad_norm": 0.859375,
+      "learning_rate": 0.0,
+      "loss": 0.8667,
+      "step": 948
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 948,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 237,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.5790961756995584e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}